Google PhD Fellowship recipients
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Chiu Wai Sam Wong, University of California, Berkeley
Eric Balkanski, Harvard University
Haifeng Xu, University of Southern California

Human-Computer Interaction
Motahhare Eslami, University of Illinois, Urbana-Champaign
Sarah D'Angelo, Northwestern University
Sarah Mcroberts, University of Minnesota - Twin Cities
Sarah Webber, The University of Melbourne
Machine Learning
Aude Genevay, Fondation Sciences Mathématiques de Paris
Dustin Tran, Columbia University
Jamie Hayes, University College London
Jin-Hwa Kim, Seoul National University
Ling Luo, The University of Sydney
Martin Arjovsky, New York University
Sayak Ray Chowdhury, Indian Institute of Science
Song Zuo, Tsinghua University
Taco Cohen, University of Amsterdam
Yuhuai Wu, University of Toronto
Yunhe Wang, Peking University
Yunye Gong, Cornell University
Machine Perception, Speech Technology and Computer Vision
Avijit Dasgupta, International Institute of Information Technology - Hyderabad
Franziska Müller, Saarland University - Saarbrücken GSCS and Max Planck Institute for Informatics
George Trigeorgis, Imperial College London
Iro Armeni, Stanford University
Saining Xie, University of California, San Diego
Yu-Chuan Su, University of Texas, Austin
Mobile Computing
Sangeun Oh, Korea Advanced Institute of Science and Technology
Shuo Yang, Shanghai Jiao Tong University
Natural Language Processing
Bidisha Samanta, Indian Institute of Technology Kharagpur
Ekaterina Vylomova, The University of Melbourne
Jianpeng Cheng, The University of Edinburgh
Kevin Clark, Stanford University
Meng Zhang, Tsinghua University
Preksha Nama, Indian Institute of Technology Madras
Tim Rocktaschel, University College London
Privacy and Security
Romain Gay, ENS - École Normale Supérieure
Xi He, Duke University
Yupeng Zhang, University of Maryland, College Park
Programming Languages, Algorithms and Software Engineering
Christoffer Quist Adamsen, Aarhus University
Muhammad Ali Gulzar, University of California, Los Angeles
Oded Padon, Tel-Aviv University
Structured Data and Database Management
Amir Shaikhha, EPFL CS
Jingbo Shang, University of Illinois, Urbana-Champaign
Systems and Networking
Ahmed M. Said Mohamed Tawfik Issa, Georgia Institute of Technology
Khanh Nguyen, University of California, Irvine
Radhika Mittal, University of California, Berkeley
Ryan Beckett, Princeton University
Samaneh Movassaghi, Australian National University
Google Australia PhD Fellowships
Chitra Javali, Security, The University of New South Wales
Dana McKay, Human Computer Interaction, The University of Melbourne
Kwan Hui Lim, Machine Learning, The University of Melbourne
Weitao Xu, Machine Perception, The University of Queensland
Google East Asia PhD Fellowships
Chungkuk YOO, Mobile Computing, Korea Advanced Institute of Science and Technology
Hong ZHANG, Systems and Networking, The Hong Kong University of Science and Technology
Quanming YAO, Machine Learning, The Hong Kong University of Science and Technology
Tian TAN, Speech Technology, Shanghai Jiao Tong University
Woosang LIM, Machine Learning, Korea Advanced Institute of Science and Technology
Ying CHEN, Systems and Networking, Tsinghua University
Google India PhD Fellowships
Arpita Biswas, Algorithms, Indian Institute of Science
Aniruddha Singh Kushwaha, Networking, Indian Institute of Technology Bombay
Anirban Santara, Machine Learning, Indian Institute of Technology Kharagpur
Gurunath Reddy, Speech Technology, Indian Institute of Technology Kharagpur
Google North America, Europe and the Middle East PhD Fellowships
Cameron, Po-Hsuan Chen, Computational Neuroscience, Princeton University
Grace Lindsay, Computational Neuroscience, Columbia University
Martino Sorbaro Sindaci, Computational Neuroscience, The University of Edinburgh
Koki Nagano, Human-Computer Interaction, University of Southern California
Arvind Satyanarayan, Human-Computer Interaction, Stanford University
Amy Xian Zhang, Human-Computer Interaction, Massachusetts Institute of Technology
Olivier Bachem, Machine Learning, Swiss Federal Institute of Technology Zurich
Tianqi Chen, Machine Learning, University of Washington
Emily Denton, Machine Learning, New York University
Yves-Laurent Kom Samo, Machine Learning, University of Oxford
Daniel Jaymin Mankowitz, Machine Learning, Technion - Israel Institute of Technology
Lucas Maystre , Machine Learning, École Polytechnique Fédérale de Lausanne
Arvind Neelakantan, Machine Learning, University of Massachusetts, Amherst
Ludwig Schmidt, Machine Learning, Massachusetts Institute of Technology
Shandian Zhe, Machine Learning, Purdue University, West Lafayette
Eugen Beck, Machine Perception, RWTH Aachen University
Yu-Wei Chao, Machine Perception, University of Michigan, Ann Arbor
Wei Liu, Machine Perception, University of North Carolina at Chapel Hill
Aron Monszpart, Machine Perception, University College London
Thomas Schoeps, Machine Perception, Swiss Federal Institute of Technology Zurich
Chia-Yin Tsai, Machine Perception, Carnegie Mellon University
Hossein Esfandiari, Market Algorithms, University of Maryland, College Park
Sandy Heydrich, Market Algorithms, Saarland University - Saarbrucken GSCS
Rad Niazadeh, Market Algorithms, Cornell University
Sadra Yazdanbod, Market Algorithms, Georgia Institute of Technology
Lei Kang, Mobile Computing, University of Wisconsin
Tauhidur Rahman, Mobile Computing, Cornell University
Yuhao Zhu, Mobile Computing, University of Texas, Austin
Tamer Alkhouli, Natural Language Processing, RWTH Aachen University
Jose Camacho Collados, Natural Language Processing, Sapienza - Università di Roma
Kartik Nayak, Privacy and Security, University of Maryland, College Park
Nicolas Papernot, Privacy and Security, Pennsylvania State University
Damian Vizar, Privacy and Security, École Polytechnique Fédérale de Lausanne
Xi Wu, Privacy and Security, University of Wisconsin
Marcelo Sousa, Programming Languages and Software Engineering, University of Oxford
Xiang Ren, Structured Data and Database Management, University of Illinois, Urbana-Champaign
Andrew Crotty, Systems and Networking, Brown University
Ilias Marinos, Systems and Networking, University of Cambridge
Kay Ousterhout, Systems and Networking, University of California, Berkeley
Bahar Salehi, Natural Language Processing, University of Melbourne
Siqi Liu, Computational Neuroscience, University of Sydney
Qian Ge, Systems, University of New South Wales
Bo Xin, Artificial Intelligence, Peking University
Xingyu Zeng, Computer Vision, The Chinese University of Hong Kong
Suining He, Mobile Computing, The Hong Kong University of Science and Technology
Zhenzhe Zheng, Mobile Networking, Shanghai Jiao Tong University
Jinpeng Wang, Natural Language Processing, Peking University
Zijia Lin, Search and Information Retrieval, Tsinghua University
Shinae Woo, Networking and Distributed Systems, Korea Advanced Institute of Science and Technology
Jungdam Won, Robotics, Seoul National University
Palash Dey, Algorithms, Indian Institute of Science
Avisek Lahiri, Machine Perception, Indian Institute of Technology Kharagpur
Malavika Samak, Programming Languages and Software Engineering, Indian Institute of Science
Google Europe and the Middle East PhD Fellowships
Heike Adel, Natural Language Processing, University of Munich
Thang Bui, Speech Technology, University of Cambridge
Victoria Caparrós Cabezas, Distributed Systems, Swiss Federal Institute of Technology Zurich
Nadav Cohen, Machine Learning, The Hebrew University of Jerusalem
Josip Djolonga, Probabilistic Inference, Swiss Federal Institute of Technology Zurich
Jakob Julian Engel, Computer Vision, Technische Universität München
Nikola Gvozdiev, Computer Networking, University College London
Felix Hill, Language Understanding, University of Cambridge
Durk Kingma, Deep Learning, University of Amsterdam
Massimo Nicosia, Statistical Natural Language Processing, University of Trento
George Prekas, Operating Systems, École Polytechnique Fédérale de Lausanne
Roman Prutkin, Graph Algorithms, Karlsruhe Institute of Technology
Siva Reddy, Multilingual Semantic Parsing, The University of Edinburgh
Immanuel Trummer, Structured Data Analysis, École Polytechnique Fédérale de Lausanne
Margarita Vald, Security, Tel Aviv University
Google United States/Canada PhD Fellowships
Waleed Ammar, Natural Language Processing, Carnegie Mellon University
Justin Meza, Systems Reliability, Carnegie Mellon University
Nick Arnosti, Market Algorithms, Stanford University
Osbert Bastani, Programming Languages, Stanford University
Saurabh Gupta, Computer Vision, University of California, Berkeley
Masoud Moshref Javadi, Computer Networking, University of Southern California
Muhammad Naveed, Security, University of Illinois at Urbana-Champaign
Aaron Parks, Mobile Networking, University of Washington
Kyle Rector, Human Computer Interaction, University of Washington
Riley Spahn, Privacy, Columbia University
Yun Teng, Computer Graphics, University of California, Santa Barbara
Carl Vondrick, Machine Perception,, Massachusetts Institute of Technology
Xiaolan Wang, Structured Data, University of Massachusetts Amherst
Tan Zhang, Mobile Systems, University of Wisconsin-Madison
Wojciech Zaremba, Machine Learning, New York University
Guosheng Lin, Machine Perception, University of Adelaide
Kellie Webster, Natural Language Processing, University of Sydney
Google China PhD Fellowships
Yingxia Shao, Data Mining, Peking University
Naiyan Wang, Machine Learning, HKUST
Dong Deng, Search and Information Retrieval, Tsinghua University
Liwei Chen, Natural Language Processing, Peking University
Google European Doctoral Fellowships
Yuxin Chen, Interactive Machine Learning, Swiss Federal Institute of Technology Zurich
Natacha Crooks, Distributed Computing, Saarland University / Max Planck Institute for Software Systems
Ivan Dokmanic, Speech Technology, École Polytechnique Fédérale de Lausanne
Sourav Dutta, Natural Language Processing, Saarland University / Max Planck Institute for Computer Science
Jana Giceva, Operating Systems, Swiss Federal Institute of Technology Zurich
Ionel Gog, Distributed Systems, University of Cambridge
Onur Kocberber, Computer Systems, École Polytechnique Fédérale de Lausanne
Jakub Konecny, Optimization Algorithms, The University of Edinburgh
Michael Lippautz, Concurrent Systems, University of Salzburg
Roee Litman, Machine Learning, Tel Aviv University
Roi Livni, Learning Theory, The Hebrew University of Jerusalem
Łukasz Mazurek, Security, University of Warsaw
Shayan Najd, Programming Technology, The University of Edinburgh
Flora Ponjou-Tasse, Computer Graphics, University of Cambridge
Carl Johann Simon-Gabriel, Causal Inference, Max Planck Institute for Intelligent Systems, Tübingen
Keerti Choudhary, Algorithms, Indian Institute of Technology Kanpur
Himanshu Jain, Machine Learning, Indian Institute of Technology Delhi
Pallavi Maiya H P, Programming Languages and Compilers, Indian Institute of Science
David Lo, Energy Efficient Computing, Stanford University
Tony Nowatzki, Computer Architecture, University of Wisconsin, Madison
Guillaume Basse, Statistics, Harvard University
Vincent Liu, Networking, University of Washington
Robert Gens, Deep Learning, University of Washington
Peggy Chi, Human Computer Interaction, University of California, Berkeley
Gabriel Reyes, Wearable Computing, Georgia Institute of Technology
Hema Koppula, Machine Perception, Cornell University
Craig Chasseur, Structured Data, University of Wisconsin, Madison
Zakir Durumeric, Security, University of Michigan
Mohammad Norouzi, Machine Learning, University of Toronto
Carl Doersch, Computer Vision, Carnegie Mellon University
Vahid Liaghat, Market Algorithms, University of Maryland
Ohad Fried, Graphics, Princeton University
Tor Lattimore, Machine Learning, Australian National University
Yiran Shen, Computer Networking, University of New South Wales
Yanjiao Chen, Mobile Computing, HKUST
Songpei Du, Computer Graphics, Tsinghua University
Wei Shen, Search and Information Retrieval, Tsinghua University
Wei Bi, Machine Learning, HKUST
Maciej Besta, Parallel Computing, Swiss Federal Institute of Technology Zurich
GideonBlocq, Computer Networking, Technion Israel Institute of Technology
Matthew Henderson, Speech Technology, University of Cambridge
Annelie Heuser, Privacy, Institut MinesTélécom
Christoph Kofler, Video Search, Delft University of Technology
Robin Morisset, Operating Systems, École Normale Supérieure / INRIA
Lukas Neumann, Computer Vision, Czech Technical University
Daniel Renshaw, Natural Language Processing, The University of Edinburgh
Sigurd Schneider, Compiler Technology, Saarland University
Aliaksei Severyn, Machine Learning, University of Trento
Christopher Smith, Data Mining, University College London
Evgeny Strekalovskiy, Image Analysis, Technische Universität München
Oana TifreaMarciuska, Social Search, University of Oxford
Abir De, Social Computing, Indian Institute of Technology Kharagpur
Debarghya Ghoshdastidar, Statistical Learning Theory, Indian Institute of Science
Shahbaz Khan,Algorithms, Indian Institute of Technology Kanpur
Harikrishna Narasimhan,Machine Learning, Indian Institute of Science
Rajvi Shah, Computer Vision, International Institute of Information Technology Hyderabad
Fernando deGoes, Computer Graphics, California Institute of Technology
Bhavana Dalvi, Information Extraction, Carnegie Mellon University
Karthik Raman, Search and Information Retrieval, Cornell University
Fang Han, Statistics, Johns Hopkins University
Jeff Regier, Machine Learning, University of California Berkeley
Yingyi Bu, Structured Data, University of California Irvine
Bart Knijnenburg, Privacy, University of California Irvine
Mark Gordon, Mobile Computing, University of Michigan
Ian Goodfellow, Deep Learning, University of Montreal
Yunchao Gong, Machine Perception, University of North Carolina
Yinqian Zhang, Computer Security, University of North Carolina
Sumita Barahmand, Cloud Computing, University of Southern California
Yang Wang, Distributed Computing, University of Texas at Austin
Adrian Sampson, Computer Architecture, University of Washington
Aditya Thakur, Programming Technology, University of Wisconsin Madison
Dominick Ng, Natural Language Processing, The University of Sydney
Trung Pham, Computer Vision, The University of Adelaide
Xi Yang, Energy Aware Computing, The Australian National University
Yin Zhu, Mobile Computing, Hong Kong University of Science and Technology
Fan Bu, Natural Language Processing, Tsinghua University
Rui Yan, Text Mining, Peking University
Nan Wang, Machine Learning, Tsinghua University
Jisun An, Social Computing, University of Cambridge
Katerina Böhmova, Optimization Algorithms, Swiss Federal Institute of Technology Zurich
Karl Bringmann, Randomized Algorithms, Saarland University / Max Planck Institute for Computer Science
Amit Daniely, Learning Theory, The Hebrew University of Jerusalem
Yarin Gal, Machine Learning, University of Cambridge
Xiong Jie, Wireless Networking, University College London
Jakub Lacki, Graph Algorithms, University of Warsaw
Luo Mai, Cloud Computing, Imperial College London
Fragkiskos Malliaros, Graph Mining, École Polytechnique
Tobias Mühlbauer, Structured Data Analysis, Technische Universität München
Thomas Müller, Natural Language Processing, University of Stuttgart
Georg Neis, Programming Technology, Max Planck Institute for Software Systems
Merav Parter, Distributed Computing, Weizmann Institute of Science
Ori Rottenstreich, Computer Networking, Technion - Israel Institute of Technology
Shai Vardi, Game Theory, Tel Aviv University
Jayvant P Anantpur, Programming Languages and Compilers, Indian Institute of Science
Tanmoy Chakraborty, Social Computing, Indian Institute of Technology Kharagpur
K Sai Deepak, Computer Vision, International Institute of Information Technology, Hyderabad
Girish Varma, Algorithms, Tata Institute of Fundamental Research
Ashton Anderson, Social Computing, Stanford University
Charles Curtsinger, Software Performance, University of Massachusetts Amherst
David Hall, Natural Language Processing, University of California, Berkeley
Chris Harrison, Human Computer Interaction, Carnegie Mellon University
Te-Yuan Huang, Multimedia Networking, Stanford University
Suman Jana, Security, University of Texas at Austin
Jingwan Lu, Artistic Graphics, Princeton University
Tyler Lu, Computational Economics, University of Toronto
James Martens, Machine Learning, University of Toronto
Ankit Singla, Datacenter Networking, University of Illinois at Urbana-Champaign
Panagiotis Toulis, Statistics, Harvard University
Etienne Vouga, Computer Graphics, Columbia University
Hongning Wang, Search and Information Retrieval, University of Illinois at Urbana-Champaign
Jianxiong Xiao, Computer Vision, Massachusetts Institute of Technology
Yair Adato, Computer Vision, Ben-Gurion University of the Negev
Amir Adler, Multimedia, Technion - Israel Institute of Technology
Konstantinos Bousmalis, Social Signal Processing, Imperial College London
Chloe Brown, Mobile Computing, University of Cambridge
Stefan Bucur, Software Dependability, École Polytechnique Fédérale de Lausanne
Bruno José Conchinha Montalto, Computer Security, Swiss Federal Institute of Technology Zurich
Alessandro Epasto, Algorithms, Sapienza University of Rome
Tobias Grosser, Efficient Computing, University Pierre and Marie Curie / INRIA
Thomas Hansen, Game Theory, Aarhus University
Petr Hosek, Software Engineering, Imperial College London
Juhi Kulshrestha, Computer Networking, Saarland University
Silvia Lametti, Computer Architecture, University of Pisa
Benjamin Roth, Natural Language Processing, Saarland University
Uri Shalit, Machine Learning, The Hebrew University of Jerusalem
Omer Tamuz, Social Computing, Weizmann Institute of Science
Ian Zerny, Programming Technology, Aarhus University
Jiannan Wang, Mobile Data Management, Tsinghua University
Yonggang Wang, Open Social Network Security, Peking University
Junliang Xing, Computer Vision, Tsinghua University
Xin Zhao, Natural Language Processing, Peking University
Alekh Agarwal, Machine Learning, University of California, Berkeley
Thomas Bergan, Programming Technology, University of Washington
Tsung-Hsiang Chang, Human Computer Interaction, Massachusetts Institute of Technology
Francisco Claude, Search and Information Retrieval, University of Waterloo
Matthias Grundmann, Computer Vision, Georgia Institute of Technology
Marc de Kruijf, Computer Architecture, University of Wisconsin
Ranjitha Kumar, Design Development, Stanford University
Abraham Othman, Market Algorithms, Carnegie Mellon University
Raluca Popa, Secure Cloud Computing, Massachusetts Institute of Technology
Prakash Prabhu, Parallel Programming, Princeton University
Sudeepa Roy, Structured Data, University of Pennsylvania
Sayandeep Sen, Mobile Computing, University of Wisconsin
Elif Yamangil, Natural Language Processing, Harvard University
Matei Zaharia, Computer Networking, University of California, Berkeley
Roland Angst, Computer Vision, Swiss Federal Institute of Technology Zurich
Arnar Birgisson, Computer Security, Chalmers University of Technology
Omar Choudary, Mobile Security, University of Cambridge
Michele Coscia, Social Computing, University of Pisa
Moran Feldman, Market Algorithms, Technion - Israel Institute of Technology
Neil Houlsby, Statistical Machine Learning, University of Cambridge
Kasper Dalgaard Larsen, Search and Information Retrieval, Aarhus University
Florian Laws, Natural Language Processing, University of Stuttgart
Cynthia Liem, Multimedia, Delft University of Technology
Ofer Meshi, Machine Learning, The Hebrew University of Jerusalem
Dora Spenza, Wireless Networking, Sapienza University of Rome
Carola Winzen, Randomized Algorithms, Saarland University / Max Planck Institute for Computer Science
Marek Zawirski, Distributed Computing, University Pierre and Marie Curie / INRIA
Lukas Zich, Video Analysis, Czech Technical University
Fangtao Li, Natural Language Processing, Tsinghua University
Ming-Ming Cheng, Computer Vision, Tsinghua University
Chong Wang, Machine Learning, Princeton University
Tyler McCormick, Statistics, Columbia University
Ashok Anand, Computer Networking, University of Wisconsin
Ramesh Chandra, Web Application Security, Massachusetts Institute of Technology
Adam Pauls, Machine Translation, University of California, Berkeley
Nguyen Dinh Tran, Distributed Systems, New York University
Moira Burke, Human Computer Interaction, Carnegie Mellon University
Ankur Taly, Language Security, Stanford University
Ilya Sutskever, Neural Networks, University of Toronto
Keenan Crane, Computer Graphics, California Institute of Technology
Boris Babenko, Computer Vision, University of California, San Diego
Jason Mars, Compiler Technology, University of Virginia
Joseph Reisinger, Natural Language Processing, University of Texas, Austin
Maryam Karimzadehgan, Search and Information Retrieval, University of Illinois, Urbana-Champaign
Carolina Parada, Speech, Johns Hopkins University
PhD Fellowship Recipients
Roxana Geambasu, Cloud Computing, University of Washington
Michael Piatek, Computer Networking, University of Washington
David Sontag, Machine Learning, Massachusetts Institute of Technology
Ali Farhadi, Computer Vision Image Interpretation, University of Illinois at Urbana-Champaign
Nicholas Chen, Human-Computer Interaction, University of Maryland
Siddhartha Sen, Fault Tolerant Computing, Princeton University
Ryan Peterson, Distributed Systems, Cornell University
Eric Gilbert, Social Computing, University of Illinois at Urbana-Champaign
Micha Elsner, Natural Language Processing, Brown University
Subhransu Maji, Computer Vision Object Recognition, University of California, Berkeley
Nicolas Lambert, Market Algorithms, Stanford University
Han Liu, Statistics, Carnegie Mellon University
Lixia Liu, Compiler Technology, Purdue University
Emmanouil Zampetakis, Massachusetts Institute of Technology
Manuela Fischer, ETH Zurich
Pranjal Dutta, Chennai Mathematical Institute
Thodoris Lykouris, Cornell University
Yuan Deng, Duke University
Computational Neuroscience
Ella Batty, Columbia University
Neha Spenta Wadia, University of California - Berkeley
Reuben Feinman, New York University
Gierad Laput, Carnegie Mellon University
Mike Schaekermann, University of Waterloo
Minsuk (Brian) Kahng, Georgia Institute of Technology
Niels van Berkel, The University of Melbourne
Siqi Wu, Australian National University
Xiang Zhang, The University of New South Wales
Abhijeet Awasthi, Indian Institute of Technology - Bombay
Aditi Raghunathan, Stanford University
Futoshi Futami, University of Tokyo
Lin Chen, Yale University
Qian Yu, University of Southern California
Ravid Shwartz-Ziv, Hebrew University
Shuai Li, Chinese University of Hong Kong
Shuang Liu, University of California - San Diego
Stephen Tu, University of California - Berkeley
Steven James, University of the Witwatersrand
Xinchen Yan, University of Michigan
Zelda Mariet, Massachusetts Institute of Technology
Machine Perception, Speech Technology, and Computer Vision
Antoine Miech, INRIA
Arsha Nagrani, University of Oxford
Arulkumar S, Indian Institute of Technology - Madras
Joseph Redmon, University of Washington
Raymond Yeh, University of Illinois - Urbana-Champaign
Shanmukha Ramakrishna Vedantam, Georgia Institute of Technology
Lili Wei, Hong Kong University of Science & Technology
Rizanne Elbakly, Egypt-Japan University of Science and Technology
Shilin Zhu, University of California - San Diego
Anne Cocos, University of Pennsylvania
Hongwei Wang, Shanghai Jiao Tong University
Jonathan Herzig, Tel Aviv University
Rotem Dror, Technion - Israel Institute of Technology
Shikhar Vashishth, Indian Institute of Science - Bangalore
Yang Liu, University of Edinburgh
Yoon Kim, Harvard University
Zhehuai Chen, Shanghai Jiao Tong University
Imane khaouja, Université Internationale de Rabat
Aayush Jain, University of California - Los Angeles
Programming Technology and Software Engineering
Gowtham Kaki, Purdue University
Joseph Benedict Nyansiro, University of Dar es Salaam
Reyhaneh Jabbarvand, University of California - Irvine
Victor Lanvin, Fondation Sciences Mathématiques de Paris
Quantum Computing
Erika Ye, California Institute of Technology
Lingjiao Chen, University of Wisconsin - Madison
Andrea Lattuada, ETH Zurich
Chen Sun, Tsinghua University
Lana Josipovic, EPFL
Michael Schaarschmidt, University of Cambridge
Rachee Singh, University of Massachusetts - Amherst
Stephen Mallon, The University of Sydney
Aidasadat Mousavifar, EPFL Ecole Polytechnique Fédérale de Lausanne
Peilin Zhong, Columbia University
Siddharth Bhandari, Tata Institute of Fundamental Research
Soheil Behnezhad, University of Maryland at College Park
Zhe Feng, Harvard University
Caroline Haimerl, New York University
Mai Gamal, German University in Cairo
Human Computer Interaction
Catalin Voss, Stanford university
Hua Hua, Australian National University
Zhanna Sarsenbayeva, University of Melbourne
Abdulsalam Ometere Latifat, African University of Science and Technology Abuja
Adji Bousso Dieng, Columbia University
Anshul Mittal, IIT Delhi
Blake Woodworth, Toyota Technological Institute at Chicago
Diana Cai, Princeton University
Francesco Locatello, ETH Zurich
Ihsane Gryech, International University Of Rabat, Morocco
Jaemin Yoo, Seoul National University
Maruan Al-Shedivat, Carnegie Mellon University
Ousseynou Mbaye, Alioune Diop University of Bambey
Rendani Mbuvha, University of Johannesburg
Shibani Santurkar, Massachusetts Institute of Technology
Takashi Ishida, University of Tokyo
Chenxi Liu, Johns Hopkins University
Kayode Kolawole Olaleye, Stellenbosch University
Ruohan Gao, The University of Texas at Austin
Tiancheng Sun, University of California San Diego
Xuanyi Dong, University of Technology Sydney
Yu Liu, Chinese University of Hong Kong
Zhi Tian, University of Adelaide
Naoki Kimura, University of Tokyo
Abigail See, Stanford University
Ananya Sai B, IIT Madras
Byeongchang Kim, Seoul National University
Daniel Patrick Fried, UC Berkeley
Hao Peng, University of Washington
Reinald Kim Amplayo, University of Edinburgh
Sungjoon Park, Korea Advanced Institute of Science and Technology
Ajith Suresh, Indian Institute of Science
Itsaka Rakotonirina, Inria Nancy
Milad Nasr, University of Massachusetts Amherst
Sarah Ann Scheffler, Boston University
Caroline Lemieux, UC Berkeley
Conrad Watt, University of Cambridge
Umang Mathur, University of Illinois at Urbana-Champaign
Amy Greene, Massachusetts Institute of Technology
Leonard Wossnig, University College London
Yuan Su, University of Maryland at College Park
Amir Gilad, Tel Aviv University
Nofar Carmeli, Technion
Zhuoyue Zhao, University of Utah
Chinmay Kulkarni, University of Utah
Nicolai Oswald, University of Edinburgh
Saksham Agarwal, Cornell University
Jan van den Brand, KTH Royal Institute of Technology
Mahsa Derakhshan, University of Maryland, College Park
Sidhanth Mohanty, University of California, Berkeley
Connor Brennan, University of Pennsylvania
Abdelkareem Bedri, Carnegie Mellon University
Brendan David-John, University of Florida
Hiromu Yakura, University of Tsukuba
Manaswi Saha, University of Washington
Muratcan Cicek, University of California, Santa Cruz
Prashan Madumal, University of Melbourne
Alon Brutzkus, Tel Aviv University
Chin-Wei Huang, Universite de Montreal
Eli Sherman, Johns Hopkins University
Esther Rolf, University of California, Berkeley
Imke Mayer, Fondation Sciences Mathématique de Paris
Jean Michel Sarr, Cheikh Anta Diop University
Lei Bai, University of New South Wales
Nontawat Charoenphakdee, The University of Tokyo
Preetum Nakkiran, Harvard University
Sravanti Addepalli, Indian Institute of Science
Taesik Gong, Korea Advanced Institute of Science and Technology
Vihari Piratla, Indian Institute of Technology - Bombay
Vishakha Patil, Indian Institute of Science
Wilson Tsakane Mongwe, University of Johannesburg
Xinshi Chen, Georgia Institute of Technology
Yadan Luo, University of Queensland
Benjamin van Niekerk, University of Stellenbosch
Eric Heiden, University of Southern California
Gyeongsik Moon, Seoul National University
Hou-Ning Hu, National Tsing Hua University
Nan Wu, New York University
Shaoshuai Shi, The Chinese University of Hong Kong
Yaman Kumar, Indraprastha Institute of Information Technology - Delhi
Yifan Liu, University of Adelaide
Yu Wu, University of Technology Sydney
Zhengqi Li, Cornell University
Xiaofan Zhang, University of Illinois at Urbana-Champaign
Anjalie Field, Carnegie Mellon University
Mingda Chen, Toyota Technological Institute at Chicago
Shang-Yu Su, National Taiwan University
Yanai Elazar, Bar-Ilan
Julien Gamba, Universidad Carlos III de Madrid
Shuwen Deng, Yale University
Yunusa Simpa Abdulsalm, Mohammed VI Polytechnic University
Adriana Sejfia, University of Southern California
John Cyphert, University of Wisconsin-Madison
Amira Abbas, University of KwaZulu-Natal
Mozafari Ghoraba Fereshte, EPFL
Yanqing Peng, University of Utah
Huynh Nguyen Van, University of Technology Sydney
Michael Sammler, Saarland University, MPI-SWS
Sihang Liu, University of Virginia
Yun-Zhan Cai, National Cheng Kung University
Daniel Mutembesa, Makerere University
Kevin Tian, Stanford University
Prerona Chatterjee, Tata Institute of Fundamental Research
Sampson Wong, The University of Sydney
Santhoshini Velusamy, Harvard University
Sruthi Gorantla, Indian Institute of Science
Wenshuo Guo, University of California, Berkeley

Computational Neural and Cognitive Sciences
Malvern Madondo, Emory University
Steffen Schneider, University of Tübingen
Nalini Singh, Massachusetts Institute of Technology
Roman Koshkin, Okinawa Institute of Science and Technology
Vishwali Mhasawade, New York University
Anupriya Tuli, Indraprastha Institute of Information Technology - Delhi
Chia-Hsing Chiu, National Taiwan University of Science and Technology
Dennis Makafui Dogbey, University of Cape Town
George Hope Chidziwisano, Michigan State University
Harmanpreet Kaur, University of Michigan
Srishti Palani, University of California, San Diego
Amir-Hossein Karimi, Max Planck Institute for Intelligent Systems
Anastasia Koloskova, EPFL, Lausanne
Anirudh Goyal, University of Montreal
Daniel Kang, Stanford University
Elena Fillola, University of Bristol
Emmanuel Chinyere Echeonwu, Nnamdi Azikiwe University, Nigeria
Gal Yona, Weizmann Institute of Science
Hae Beom Lee, KAIST
Jaekyeom Kim, Seoul National University
Logan Engstrom, Massachusetts Institute of Technology
Piyushi Manupriya, Indian Institute of Technology - Hyderabad
Qinbin Li, National University of Singapore
Shen Li, National University of Singapore
Shubhada Agrawal, Tata Institute of Fundamental Research
Theekshana Dissanayake, Queensland University of Technology
Tianyuan Jin, National University of Singapore
Yun Li, The University of New South Wales
Andrea Burns, Boston University
Fangzhou Hong, Nanyang Technological University
Hai-Bin Wu, National Taiwan University
Jogendra Nath Kundu, Indian Institute of Science
Kelvin C.K. Chan, Nanyang Technological University
Sanghyun Woo, KAIST
Sara El-Ateif, National School For Computer Science (ENSIAS)
Soo Ye Kim, KAIST
Tewodros Amberbir Habtegebrial, Technical University of Kaiserslautern
Xinlong Wang, The University of Adelaide
Xueting Li, University of California, Merced
Zhiqin Chen, Simon Fraser University
Byungjin Jun, Northwestern University
Soundarya Ramesh, National University of Singapore
Derguene Mbaye, Universite Cheikh Anta Diop
Eya Hammami, LARODEC
Haoyue Shi, Toyota Technological Institute at Chicago
Kalpesh Krishna, University of Massachusetts Amherst
Peter Hase, University of North Carolina at Chapel Hill
Rochelle Choenni, University of Amsterdam
Chandan Kumar, Indian Institute of Technology - Kharagpur
Kevin Loughlin, University of Michigan
Teodora Baluta, National University of Singapore
Yuqing Zhu, University of California, Santa Barbara
Aishwarya Sivaraman, University of California, Los Angeles
Jenna Wise, Carnegie Mellon University
Alicja Dutkiewicz, Leiden University
Hsin-Yuan Huang, California Institute of Technology
Mykyta Onizhuk, The University of Chicago
Sayantan Chakraborty, Tata Institute of Fundamental Research
Brian Kundinger, Duke University
Yiru Chen, Columbia University
Yu Meng, University of Illinois at Urbana-Champaign
Zheng Wang, Nanyang Technological University
Aishwariya Chakraborty, Indian Institute of Technology - Kharagpur
Alireza Farshin, KTH Royal Institute of Technology
Erika Hunhoff, University of Colorado Boulder
S. VenkataKeerthy, Indian Institute of Technology - Hyderabad
Soroush Ghodrati, University of California, San Diego
Yejin Lee, Seoul National University
Anjali Gupta, Indian Institute of Technology Delhi
Shunhua Jiang, Columbia University
Shyam Sivasathya Narayanan, Massachusetts Institute of Technology
Venkata Naga Sreenivasulu Karnati, Indian Institute of Science
Yang P. Liu, Stanford University
Aditi Jha, Princeton University
Klavdia Zemlianova, New York University
Devon Jarvis, University of the Witwatersrand
Emily Schwenger, Albert Einstein College of Medicine
Reihaneh Torkzadehmahani, TU Munich
Xin Liu, University of Washington
Qian Niu, Kyoto University
Karthik Mahadevan, University of Toronto
Meena Muralikumar, University of Washington
Nika Nour, University of California - Irvine
Pang Suwanaposee, University of Canterbury
Ryan Louie, Northwestern University
Tiffany Li, University of Illinois - Urbana-Champaign
Zhongyi Zhou, The University of Tokyo
Eunji Kim, Seoul National University
Hayeon Lee, Korea Advanced Institute of Science and Technology
Julius von Kügelgen, Max Planck Institute for Intelligent Systems
Kaloma Usman Majikumna, Euromed University of Fes, Morocco
Lily Xu, Harvard University
Maksym Andriushchenko, EPFL
Pierre Marion, Fondation Sciences Mathématiques de Paris
Shashank Rajput, University of Wisconsin - Madison
Sheheryar Zaidi, University of Oxford
Sindy Löwe, University of Amsterdam
Tan Wang, Nanyang Technological University
Xiaobo Xia, University of Sydney
Yixin Liu, Monash University
Efthymios Tzinis, University of Illinois - Urbana-Champaign
Elizabeth Ndunge Mutua, Strathmore University
Haipeng Xiong, National University of Singapore
Jianyuan Guo, University of Sydney
Jiawei Ren, Nanyang Technological University
Juhong Min, Pohang University of Science and Technology
Liliane Momeni, University of Oxford
Qianqian Wang, Cornell University
Shuo Yang, University of Technology Sydney
Tahir Javed, Indian Institute of Technology Madras
Wei-Ting Chen, National Taiwan University
Yuming Jiang. Nanyang Technological University
Yu-Ying Yeh, University of California - San Diego
Binbin Xie, University of Massachusetts - Amherst
Clara Isabel Meister, ETH Zurich
Julia Mendelsohn, University of Michigan
Sachin Kumar, Carnegie Mellon University
Saley Vishal Vivek, Indian Institute of Technology Delhi
Swarnadeep Saha, University of North Carolina - Chapel Hill
Shuyi Wang, The University of Queensland
Thong Nguyen, National University of Singapore
Ussen Kimanuka, Pan African University Institute For Basic Sciences, Technology and Innovation
Amy Elizabeth Gooden, University Kwazulu-Natal
Promise Ricardo Agbedanu, University of Rwanda
Alexander Bienstock, New York University
Daniel De Almeida Braga, Universite Rennes 1
Gaurang Bansal, National University of Singapore
Nicolas Huaman Groschopf, Leibniz University of Hanover
Simon Spies, Max Planck Institute for Software Systems
Ilkwon Byun, Seoul National University
Margaret Fortman, University of Wisconsin - Madison
Oscar Higgott, University College London
Sam Gunn, University of California - Berkeley
Recommender Systems
Jessie J. Smith, University of Colorado - Boulder
Wenjie Wang, National University of Singapore
Nikolaos Tziavelis, Northeastern University
Humphrey Owuor Otieno, University of Cape Town
Jiarong Xing, Rice University
Shweta Pandey, Indian Institute of Science
Sunil Kumar, Indraprastha Institute of Information Technology Delhi
Yang Zhou, Harvard University
Yujeong Choi, Korea Advanced Institute of Science and Technology
Back to PhD Fellowship
- Press corner
Google in Latin America
How we’re working with Latin American CS researchers
Nov 21, 2022
Pablo Samuel Castro, a member of the Google Brain team in Montreal, says he ended up in computer science by chance. “Growing up in Ecuador, I was fascinated by our first computer,” he says, “but I didn’t really receive guidance that what I was interested in was computer science.”
At first, Pablo explored math — and even jazz performance. But after a mentor urged him to join a master’s and eventual PhD program, he pursued a career in machine learning. In his career, he says, he’s been surprised by the lack of representation of Latin Americans in the field.
“In 2018, there was a group created for Latin Americans attending the International Conference on Machine Learning, and we decided to meet for lunch,” he says. “Out of 8,000 in attendance, there were 20 of us. We were shocked,” says Pablo. Statistics like that are why earlier this year, we committed to the development of digital infrastructure, digital skills, entrepreneurship and inclusive, sustainable communities in Latin America. And today, we’re announcing three ways we’re acting on that commitment, especially across the research community in Latin America.
First, we’re launching Google’s PhD Fellowships for students attending Latin American universities. The fellowships are eligible to incoming, first, and second-year PhD students to help them get established in their programs full-time and persist through to their dissertation work. In addition to $15,000 of funding for up to three years, Fellows receive mentorship from a Google researcher to support their career development in CS research.
Second, we’re sponsoring key computer science conferences, organizations and events in the region. We've partnered with LatinX in AI since 2016 to support their workshops that aim to promote and increase the representation of Latino researchers at key CS research conferences. We invite Latino researchers to join us at NeurIPS 2022 , where they can connect with us at our sponsor table, at the main conference exhibit, or with the Googlers who will be participating in the LatinX in AI workshop as mentors, panelists and speakers. We sponsored RIIAA ’s fifth event this fall, which was co-located in Mexico City, Quito and a virtual conference space; the event was attended by over 700 registrants across students, faculty, and the private and public sectors in 37 countries. And in March, we look forward to attending KHIPU 2023 at Universidad de la República in Montevideo, Uruguay. “To be in proximity with these big AI researchers, to have them visit your poster and give advice - that personal connection is transformative for students who, like me at that stage, don’t know what AI research is about.”
Third, we’re growing our outreach to encourage participation in our faculty funding and collaboration programs. As we continue to grow our interactions with current and future CS researchers in Latin America, we’ll end the Latin America Research Awards and graduate the program to invest further in these three research needs. In 2020, we launched the Award for Inclusion Research , which supports faculty whose research is creating a positive impact for the state of the art and communities in need, and Research Scholar , which provides funding to early-career professors. In July, we expanded eligibility globally for exploreCSR , which funds faculty to expose students from historically marginalized gender, race, ethnicity, and ability groups to topics and career paths in CS research. Across these three programs and collaborations with faculty and students, we’ve awarded over $550,000 to Latin American researchers this year — but we’re looking to boost the number of Latin American applicants.
What outcomes does Pablo want to see? “More research happening in Latin America that is visible in these big conferences, and that focuses on problems and characteristics local to Latin America,” he says. “With Google being more involved in that space, I hope we can support that local understanding, and have the Latin American community present at the design table.”
Applications are currently open for Research Scholar (through December 1) and the Latin American PhD Fellowships (through January 11). We encourage early-career professors and incoming through second-year PhD students in Latin America to apply, and all members of the Latin American research ecosystem to connect with us at NeurIPS 2022 and KHIPU 2023 .
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Leaving Google Brain ✌️
Mar 21, 2022
In machine learning and optimization, it’s important to inject some noise into the optimization process to prevent local maxima. Taking that advice to heart, I’m applying some exploration noise into my life - this is my last week at Google Brain.
I spent 5.75 wonderful years (2097 days) on the Robotics team as my first job out of university. I wanted to extend my deepest gratitude to the colleagues and mentors who have taught me so much during my time at Google. Despite me not having a PhD, they took a chance on me and invested in my research career. I’m extremely proud of the technical (research and infra) and non-technical things (people skills) I worked on in my time there.
What’s next? I don’t have anything lined up yet, so please reach out if you’d like to work with me or offer career advice. Here is my resume . I’m leaning towards starting my own company, but I’m open-minded and will join an existing company if it makes sense.
One more thing - thank you to all my readers who have followed my writing over the years. Whatever I do next, I intend to continue sharing interesting things I’m learning and thinking about. You can subscribe to this blog via RSS or email .
Miscellaneous
Here’s the email that got my foot in the door. Thanks Jeff and Vincent for letting me join the team!

According to go/percent, I stayed at Google longer than 70% of the current FTE workforce. Here’s a visualization of my 931 submitted changelists (commits) over the years.

Whenever I traveled for work or fun I would make it a point to try the free food at the local Google office. Here are some of the things I ate. I have the utmost respect for the chefs at Google; making tasty, healthy meals fit for serving strangers is not easy!
Mountain View

Los Angeles

Tokyo (seriously, wtf?)

Buenos Aires

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Welcome Keynote - The Practice of Machine Learning
Peter norvig, google research director.
Peter Norvig is a Director of Research at Google; previously he directed Google's core search algorithms group. He is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field, and co-teacher of an Artificial Intelligence class that signed up 160,000 students, helping to kick off the current round of massive open online classes. He is a Fellow of AAAI, ACM, the California Academy of Science and the American Academy of Arts & Sciences.
Crowdsourcing Images for Global Diversity
Peggy chi, google research scientist.
Abstract: Crowdsourcing enables human workers to perform designated tasks unbounded by time and location. As mobile devices and embedded cameras have become widely available, we deployed an image capture task globally for more geographically diverse images. Via our micro-crowdsourcing mobile application, users capture images of surrounding subjects, tag with keywords, and can choose to open source their work. We open-sourced 478,000 images collected from worldwide users as a dataset "Open Images Extended'' that aims to add global diversity to imagery training data. We describe our approach and workers' feedback through survey responses from 171 global contributors to this task.
Navigating Academic and Industry Careers
Lauren wilcox, google ux researcher, nicolas papernot, google research scientist.
Abstract: You're at an exciting time of your life. This panel will go over some of the pathways to an academic or industry career, including some tips on how to navigate the job market. We'll tease out some of the differences between academia and industry as an environment for contributing to the research community. The talk will be followed by a panel discussion.
Deep Learning for Tackling Real-World Problems
Jeff dean, google senior fellow & svp google research.
Abstract: In this talk, I'll look at how recent advances based on deep learning have made significant strides in fundamental areas such as computer vision, speech recognition, language understanding and translation. Given these advances, I'll then look at how deep learning can now help us tackle some of the major challenges in the world, such as improving access to healthcare and creating new tools for scientific discovery. Finally, I'll touch on how deep learning is changing the way in which we think about building computational hardware, creating a resurgence in new and interesting computer architecture work to design systems that target and dramatically accelerate deep learning workloads.
Machine Learning Fairness
Vinodkumar prabhakaran, google research scientist.
Abstract: As machine learning techniques are increasingly being used in various day-to-day applications, there is growing awareness that the decisions we as researchers and developers make about our data, methods, and algorithms have immense impact in shaping our social lives. In this talk, I will outline the growing body of research on ethical implications of machine learning technology, especially around questions about fairness and accountability of the models we build and deploy into the world. I will focus specifically on natural language processing (NLP) techniques, and discuss ways in which machine learned NLP models may reflect, propagate, and sometimes amplify social stereotypes about people, potentially harming already marginalized groups. I will also briefly discuss various ways to address these issues, both through mitigation strategies and through increased transparency.
The Role of Generative Models in Music, Art and other Media
Douglas eck, google principal scientist.
Abstract: I'll talk about recent progress on a project from the Google Brain team called Magenta ( g.co/magenta ). Magenta is an open source research project exploring the role of machine learning as a tool in the creative process. I'll relate this to work done on the Brain team in the area of generative models for text, images and video. My talk will consist of a high-level overview of work we've published in domains like music composition, audio generation, drawing and text generation. I'll also address some related non-technical questions such as: What is the relationship between AI and artistic creation? and What are the societal implications of using generative models for communication?
Self-Driving Networks: Is AI the Answer to Automating Network Management?
Jeffrey mogul, google principal software engineer.
Abstract: It's increasingly hard for humans to manage computer networks against requirements for high reliability and rapid evolution. Automation seems to be the answer, but is AI the right way to automate network management? And do self-driving cars offer a useful or misleading analogy?
Studying High Risk Users
Sunny consolvo, user experience researcher.
Abstract: This talk will present the results of two exploratory studies of people’s privacy- and security-related practices. In the first study, we report on the experiences of financially vulnerable users and discuss challenges participants faced that tended to impact their online safety. In the second study, we explore the digital privacy and security motivations, practices, and challenges of survivors of intimate partner abuse.
Internships Q&A (Optional)
Allison kemmerling, google intern recruiter + staffing partner.
Abstract: Learn about summer internships for PhD Fellows. Allison Kemmerling from Intern recruiting will provide an overview of the intern process specifically tailored for Google PhD Fellows, and will answer your questions. Note: This session is optional, but encouraged if you are interested in a Google internship.
Semi-Online Algorithms
Erik vee, google software engineer.
Abstract: The area of online algorithms has a long and successful history. But its set-up -- where we assume we know nothing about the future and compare ourselves to the best algorithm that knows everything about what's to come -- is usually too pessimistic. In practice, we often have predictions that limit inputs to a smaller set of possibilities.
To better understand this gap, we propose "semi-online" algorithms, which is a simple and robust extension to the classic online setting. By assuming we know something about the future, we get results that naturally interpolate between fully online algorithms and fully offline algorithms. We study several classic problems, including matching, ski-rental, and caching.
Joint work with Ravi Kumar, Manish Purohit, Aaron Schild, and Zoya Svitkina.
Accelerating Your Research with TensorFlow Research Cloud
Jonathan caton, google product support manager.
Abstract: The TensorFlow Research Cloud (TFRC) program provides free access to Cloud TPUs to researchers worldwide. In this talk we will briefly describe the hardware used to make this possible, give a few examples of the work being supported by our program, and inform attendees how they can take advantage of Cloud TPUs to further their research.

Research Scientist and Manager, Google Brain
Google Scholar  /  GitHub LinkedIn  /  Twitter  /  Facebook
I am a Research Scientist and Manager at Google Brain . I received my PhD at University of Illinois at Urbana-Champaign in 2020, advised by Professor Thomas Huang . Previously I received a Bachelor with distinction at School of the Gifted Young in Computer Science, University of Science and Technology of China in 2016. I worked at Microsoft Research Asia, Face++/Megvii, Adobe Research, Snap Research, Jump Trading, Baidu Research, Nvidia Research, and Google Brain during my PhD.
I work on sequence modeling (language, speech, video, financial data), computer vision, generative models, and high performance computing.
Publications
(Google Scholar Profile)
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation Jiahui Yu , Yuanzhong Xu, Jing Yu Koh, Thang Luong, Gunjan Baid, Zirui Wang, Vijay Vasudevan, Alexander Ku, Yinfei Yang, Burcu Karagol Ayan, Ben Hutchinson, Wei Han, Zarana Parekh, Xin Li, Han Zhang, Jason Baldridge, Yonghui Wu TMLR 2022 / parti.research.google
CoCa: Contrastive Captioners are Image-Text Foundation Models Jiahui Yu , Zirui Wang, Vijay Vasudevan, Legg Yeung, Mojtaba Seyedhosseini, Yonghui Wu TMLR 2022 / Google AI Blog
Self-supervised Learning with Random-projection Quantizer for Speech Recognition Chung-Cheng Chiu, James Qin, Yu Zhang, Jiahui Yu , Yonghui Wu ICML 2022
Vector-quantized Image Modeling with Improved VQGAN Jiahui Yu , Xin Li, Jing Yu Koh, Han Zhang, Ruoming Pang, James Qin, Alex Ku, Yuanzhong Xu, Jason Baldridge, Yonghui Wu ICLR 2022 / Google AI Blog
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision Zirui Wang, Jiahui Yu , Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao ICLR 2022 / Google AI Blog
Video-Text Modeling with Zero-Shot Transfer from Contrastive Captioners Shen Yan, Tao Zhu, Zirui Wang, Yuan Cao, Mi Zhang, Soham Ghosh, Yonghui Wu, Jiahui Yu ArXiv 2022
Exploiting Category Names for Few-Shot Classification with Vision-Language Models Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu , Shengyang Dai, Ming-Hsuan Yang ArXiv 2022
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang, Daniel Park, Wei Han, et al. IEEE Journal of Selected Topics in Signal Processing, 2021
An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling Tara Sainath, Yanzhang He, Arun Narayanan, et al. INTERSPEECH 2021
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization Jiahui Yu , Chung-Cheng Chiu, Bo Li, Shuo-yiin Chang, Tara Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang. ICASSP 2021
A Better and Faster End-to-End Model for Streaming ASR Bo Li, Anmol Gulati, Jiahui Yu , Tara Sainath, Chung-Cheng Chiu, Arun Narayanan, Shuo-Yiin Chang, Ruoming Pang, Yanzhang He, James Qin, Wei Han, Qiao Liang, Yu Zhang, Trevor Strohman, Yonghui Wu. ICASSP 2021
Cascaded Encoders for Unifying Streaming and Non-streaming ASR Arun Narayanan, Tara Sainath, Ruoming Pang, Jiahui Yu , Chung-Cheng Chiu, Rohit Prabhavalkar, Ehsan Variani, Trevor Strohman. ICASSP 2021
Dynamic Sparsity Neural Networks for Automatic Speech Recognition Zhaofeng Wu, Ding Zhao, Qiao Liang, Jiahui Yu , Anmol Gulati, Ruoming Pang. ICASSP 2021
Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling Jiahui Yu , Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara Sainath, Yonghui Wu, Ruoming Pang. ICLR 2021
Co-training Transformer with Videos and Images Improves Action Recognition Bowen Zhang, Jiahui Yu , Christopher Fifty, Wei Han, Andrew Dai, Ruoming Pang, Fei Sha ArXiv 2021
Neural Sparse Representation for Image Restoration Yuchen Fan, Jiahui Yu , Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas Huang. NeurIPS 2020 / Code
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Ming-Yu Liu, Xun Huang, Jiahui Yu , Ting-Chun Wang, Arun Mallya. Proceedings of the IEEE 2020
BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models Jiahui Yu , Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Thomas Huang, Xiaodan Song, Ruoming Pang, Quoc Le. ECCV 2020
ContextNet: Improving Convolutional Neural Networks for ASR with Global Context Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu , Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu. INTERSPEECH 2020
Conformer: Convolution-augmented Transformer for Speech Recognition Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu , Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang. INTERSPEECH 2020
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary Yingzhen Yang, Jiahui Yu , Nebojsa Jojic, Jun Huan, Thomas Huang. ICLR 2020 / OpenReview
Scale-wise Convolution for Image Restoration Yuchen Fan, Jiahui Yu , Ding Liu, Thomas Huang. AAAI 2020 / Code
Pyramid Attention Networks for Image Restoration Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu , Yuqian Zhou, Ding Liu, Yun Fu, Thomas Huang, Humphrey Shi. ArXiv 2020
AutoSlim: Towards One-Shot Architecture Search for Channel Numbers Jiahui Yu and Thomas Huang. NeurIPS Workshop 2019 / Code
Universally Slimmable Networks and Improved Training Techniques Jiahui Yu and Thomas Huang. ICCV 2019 / Code
Free-Form Image Inpainting with Gated Convolution (DeepFill v2) Jiahui Yu , Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas Huang. ICCV 2019 (Oral Presentation) / Code
Fast Proximal Gradient Descent for Non-convex Optimization Yingzhen Yang and Jiahui Yu . UAI 2019 / Code
Foreground-aware Image Inpainting Wei Xiong, Jiahui Yu , Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo. CVPR 2019
Slimmable Neural Networks Jiahui Yu , Linjie Yang, Ning Xu, Jianchao Yang, Thomas Huang. ICLR 2019 / Code / OpenReview Top-10 Rated Papers on OpenReview, ICLR 2019.
Wide Activation for Efficient and Accurate Image Super-Resolution Jiahui Yu , Yuchen Fan, Jianchao Yang, Ning Xu, Zhaowen Wang, Xinchao Wang, Thomas Huang. BMVC 2019 (challenge report) / Code Won 1st in NTIRE Challenge on Single Image Super-Resolution , CVPR 2018.
Improving Object Detection from Scratch via Gated Feature Reuse Zhiqiang Shen, Honghui Shi, Jiahui Yu , Hai Phan, Rogerio Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas Huang, Marios Savvides. BMVC 2019 / Code
Generative Image Inpainting with Contextual Attention (DeepFill v1) Jiahui Yu , Zhe Lin, Jimei Yang, Xiaohui Shen, Xin Lu, Thomas Huang. CVPR 2018 / Code
Neighborhood Regularized l1-Graph Yingzhen Yang, Jiashi Feng, Jiahui Yu , Jianchao Yang, Pushmeet Kohli, Thomas Huang. UAI 2017
Support Regularized Sparse Coding and Its Fast Encoder Yingzhen Yang, Jiahui Yu , Pushmeet Kohli, Jianchao Yang, Thomas Huang. ICLR 2017
UnitBox: An Advanced Object Detection Network Jiahui Yu , Yuning Jiang, Zhangyang Wang, Zhimin Cao, Thomas Huang. ACMMM 2016 Adapted to official TensorFlow Object Detection API .
- Baidu Scholarship
- Thomas and Margaret Huang Research Award
- Microsoft-IEEE Young Fellowship
- Journal Reviewer: TPAMI, IJCV, TIP, TMM, TMI, TVCG, TVCJ, TCSVT, TSC, TGRS, IMAGE, JSTSP, JVCI, NEUCOM, PR, SPL, MULT, TNNLS, ENG, IROS, ACCESS, Hindawi.
- Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, SIGGRAPH, ACM Multimedia, AAAI, IJCAI, ICME, PRCV, PG, ACCV, ICASSP.

IMAGES
VIDEO
COMMENTS
According to U.S. Census 2013 data, 1.68 percent of Americans over the age of 25 have a PhD. This equates to approximately 2.5 million people. People with professional degrees such as MD or DDS make up 1.48 percent of the U.S.
Are you considering pursuing a PhD and looking for an exciting and dynamic environment to conduct your research? Look no further than Germany. To embark on your journey towards a PhD in Germany, it is crucial to familiarize yourself with th...
In recent years, the demand for flexible and accessible higher education options has been on the rise. Many individuals are seeking to advance their careers and knowledge through online programs that offer convenience and flexibility. One s...
The Google PhD Fellowship Program was created to recognize outstanding graduate students doing exceptional and innovative research in areas relevant to computer
The Google PhD Fellowship Program recognizes outstanding graduate students doing exceptional work in computer science, related disciplines, or promising
In 2009, Google created the PhD Fellowship Program to recognize and support graduate students who are doing exceptional research in Computer
Pablo Samuel Castro, a member of the Google Brain team in Montreal, says he ended up in computer science by chance. “Growing up in Ecuador
This is exactly why we need PhD students doing fundamental research, because no one can see the immediate benefit. Because on the surface it has
... Google. Despite me not having a PhD, they took a chance on me and invested in my research career. I'm extremely proud of the technical
Google Brain is the original AI research effort within Google that started in 2011 as collaborative effort between Google Fellow Jeff Dean, Google researtcher
Learning the internals of Machine Learning systems and tips for PhD | Maithra Raghu, @Google Brain. 3.2K views · 1 year ago Jay Shah Podcast
Do you need a PhD to do research? | Dan Zhang, Google Brain Researcher | PhD Chat Part 1. 1K views · 11 months ago ...more
Magenta is an open source research project exploring the role of machine learning as a tool in the creative process. I'll relate this to work done on the Brain
I received my PhD at University of Illinois at Urbana-Champaign in 2020, advised by Professor Thomas Huang. Previously I received a Bachelor with distinction at