google brain phd

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.