William Chan

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 72

Top Topics

Image Inpainting

Language Understanding

Speech Recognition

Top Venues

Publications

William Chan, Logan Crew
A graph polynomial from chromatic symmetric functions. J. Graph Theory 105 (4) (2024)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. ICLR (2023)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Qingqing Huang, Daniel S. Park, Tao Wang, Timo I. Denk, Andy Ly, Nanxin Chen, Zhengdong Zhang, Zhishuai Zhang, Jiahui Yu, Christian Havnø Frank, Jesse H. Engel, Quoc V. Le, William Chan, Wei Han
Noise2Music: Text-conditioned Music Generation with Diffusion Models. CoRR (2023)
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
TryOnDiffusion: A Tale of Two UNets. CVPR (2023)
Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant
Character-Aware Models Improve Visual Text Rendering. ACL (1) (2023)
Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman
TryOnDiffusion: A Tale of Two UNets. CoRR (2023)
William Chan
A Lipschitz determinacy principle equivalent to weak König lemma. Ann. Pure Appl. Log. 174 (3) (2023)
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CVPR (2023)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR (2022)
Rosanne Liu, Dan Garrette, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, Noah Constant
Character-Aware Models Improve Visual Text Rendering. CoRR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. CoRR (2022)
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. CoRR (2022)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. J. Mach. Learn. Res. 23 (2022)
Jonathan Ho, William Chan, Chitwan Saharia, Jay Whang, Ruiqi Gao, Alexey A. Gritsenko, Diederik P. Kingma, Ben Poole, Mohammad Norouzi, David J. Fleet, Tim Salimans
Imagen Video: High Definition Video Generation with Diffusion Models. CoRR (2022)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 16 (6) (2022)
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. ICLR (2022)
Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet
Video Diffusion Models. NeurIPS (2022)
Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi
Novel View Synthesis with Diffusion Models. CoRR (2022)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. SIGGRAPH (Conference Paper Track) (2022)
Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. CoRR (2022)
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. NeurIPS (2022)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
WaveGrad: Estimating Gradients for Waveform Generation. ICLR (2021)
Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR (2021)
Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan
Learning to Efficiently Sample from Diffusion Probabilistic Models. CoRR (2021)
Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR (2021)
Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi
Image Super-Resolution via Iterative Refinement. CoRR (2021)
William Chan, Daniel S. Park, Chris A. Lee, Yu Zhang, Quoc V. Le, Mohammad Norouzi
SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network. CoRR (2021)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. Interspeech (2021)
Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan
Pushing the Limits of Non-Autoregressive Speech Recognition. Interspeech (2021)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, Najim Dehak, William Chan
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis. CoRR (2021)
Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan
Pushing the Limits of Non-Autoregressive Speech Recognition. CoRR (2021)
Chitwan Saharia, William Chan, Huiwen Chang, Chris A. Lee, Jonathan Ho, Tim Salimans, David J. Fleet, Mohammad Norouzi
Palette: Image-to-Image Diffusion Models. CoRR (2021)
Harris Chan, Jamie Kiros, William Chan
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR (2020)
Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi
Non-Autoregressive Machine Translation with Latent Alignments. EMNLP (1) (2020)
Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi
Non-Autoregressive Machine Translation with Latent Alignments. CoRR (2020)
William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML (2020)
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
Specaugment on Large Scale Datasets. ICASSP (2020)
William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly
Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR (2020)
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit
An Empirical Study of Generation Order for Machine Translation. EMNLP (1) (2020)
Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan
Insertion-Deletion Transformer. CoRR (2020)
Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan
WaveGrad: Estimating Gradients for Waveform Generation. CoRR (2020)
Harris Chan, Jamie Kiros, William Chan
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) (2020)
Sara Sabour, William Chan, Mohammad Norouzi
Optimal Completion Distillation for Sequence Learning. ICLR (Poster) (2019)
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit
An Empirical Study of Generation Order for Machine Translation. CoRR (2019)
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. CoRR (2019)
Lala Li, William Chan
Big Bidirectional Insertion Representations for Documents. NGT@EMNLP-IJCNLP (2019)
Guan-Lin Chao, William Chan, Ian R. Lane
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. CoRR (2019)
Daniel S. Park, William Chan, Yu Zhang, Chung-Cheng Chiu, Barret Zoph, Ekin D. Cubuk, Quoc V. Le
SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition. INTERSPEECH (2019)
Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan
Bytes Are All You Need: End-to-end Multilingual Speech Recognition and Synthesis with Bytes. ICASSP (2019)
Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR (2019)
William Chan
Ordinal definability and combinatorics of equivalence relations. J. Math. Log. 19 (2) (2019)
Lala Li, William Chan
Big Bidirectional Insertion Representations for Documents. CoRR (2019)
Daniel S. Park, Yu Zhang, Chung-Cheng Chiu, Youzheng Chen, Bo Li, William Chan, Quoc V. Le, Yonghui Wu
SpecAugment on Large Scale Datasets. CoRR (2019)
William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit
KERMIT: Generative Insertion-Based Modeling for Sequences. CoRR (2019)
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. ICML (2019)
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. CoRR (2019)
Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search. ACL (1) (2018)
Bo Li, Yu Zhang, Tara N. Sainath, Yonghui Wu, William Chan
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes. CoRR (2018)
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. CoRR (2018)
Sara Sabour, William Chan, Mohammad Norouzi
Optimal Completion Distillation for Sequence Learning. CoRR (2018)
Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. SEC (2018)
Jamie Ryan Kiros, William Chan
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. EMNLP (2018)
William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
Latent Sequence Decompositions. ICLR (Poster) (2017)
Takaaki Hori, Shinji Watanabe, Yu Zhang, William Chan
Advances in Joint CTC-Attention Based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM. INTERSPEECH (2017)
Takaaki Hori, Shinji Watanabe, Yu Zhang, William Chan
Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM. CoRR (2017)
Yu Zhang, William Chan, Navdeep Jaitly
Very deep convolutional networks for end-to-end speech recognition. ICASSP (2017)
Guan-Lin Chao, William Chan, Ian R. Lane
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. INTERSPEECH (2016)
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP (2016)
William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly
Latent Sequence Decompositions. CoRR (2016)
Yu Zhang, William Chan, Navdeep Jaitly
Very Deep Convolutional Networks for End-to-End Speech Recognition. CoRR (2016)
William Chan, Ian R. Lane
On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training. INTERSPEECH (2016)
William Chan, Ian R. Lane
Deep Recurrent Neural Networks for Acoustic Modelling. CoRR (2015)
William Chan, Nan Rosemary Ke, Ian R. Lane
Transferring Knowledge from a RNN to a DNN. CoRR (2015)
Lawrence Wing-Chi Chan, Ying Liu, Tao Chan, Helen K. W. Law, S. C. Cesar Wong, Andy Yeung, K. F. Lo, S. W. Yeung, K. Y. Kwok, William Chan, Thomas Lau, Chi-Ren Shyu
PubMed-supported clinical term weighting approach for improving inter-patient similarity measure in diagnosis prediction. BMC Medical Informatics Decis. Mak. 15 (2015)
William Chan, Ian R. Lane
Deep convolutional neural networks for acoustic modeling in low resource languages. ICASSP (2015)
William Chan, Nan Rosemary Ke, Ian R. Lane
Transferring knowledge from a RNN to a DNN. INTERSPEECH (2015)
William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals
Listen, Attend and Spell. CoRR (2015)
William Chan, Ian R. Lane
Distributed asynchronous optimization of convolutional neural networks. INTERSPEECH (2014)
William Chan, Jason D. Lohn
Spike timing dependent plasticity with memristive synapse in neuromorphic systems. IJCNN (2012)
Haimonti Dutta, William Chan, Deepak Shankargouda, Manoj Pooleery, Axinia Radeva, Kyle Rego, Boyi Xie, Rebecca J. Passonneau, Austin Lee, Barbara Taranto
Leveraging Subjective Human Annotation for Clustering Historic Newspaper Articles CoRR (2012)
Ruchir Bindal, Pei Cao, William Chan, Jan Medved, George Suwala, Tony Bates, Amy Zhang
Improving Traffic Locality in BitTorrent via Biased Neighbor Selection. ICDCS (2006)
Cetin C. Kiris, Dochan Kwak, William Chan
Parallel Unsteady Turbo-Pump Simulations For Liquid Rocket Engines. SC (2000)
William Chan
Temporal-Locig Queries. CAV (2000)