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ORCIDWilliam Chan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- William Chan 0001 — University of Washington, Department of Computer Science and Engineering, Seattle, WA, USA
- William Chan 0002
![[0000-0002-0661-1764]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0661-1764")
— California Institute of Technology, Department of Mathematics, Pasadena, CA, USA
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2020 – today
- 2024
[j6]William Chan:
AI chatbots and liberal education. AI Soc. 39(5): 2607-2609 (2024)- [j5]William Chan, Logan Crew:
A graph polynomial from chromatic symmetric functions. J. Graph Theory 105(4): 633-651 (2024) - 2023
- [j4]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): 4713-4726 (2023) - [c37]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: 16270-16297 - [c36]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: 4606-4615 - [c35]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: 18359-18369 - [c34]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. ICLR 2023 - [i40]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 abs/2302.03917 (2023) - [i39]Luyang Zhu, Dawei Yang, Tyler Zhu, Fitsum Reda, William Chan, Chitwan Saharia, Mohammad Norouzi, Ira Kemelmacher-Shlizerman:
TryOnDiffusion: A Tale of Two UNets. CoRR abs/2306.08276 (2023) - 2022
- [j3]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: 47:1-47:33 (2022) - [j2]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): 1519-1532 (2022) - [c33]Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi:
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. ICLR 2022 - [c32]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. NeurIPS 2022 - [c31]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 - [c30]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: 15:1-15:10 - [i38]Daniel Watson, William Chan, Jonathan Ho, Mohammad Norouzi:
Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality. CoRR abs/2202.05830 (2022) - [i37]Jonathan Ho, Tim Salimans, Alexey A. Gritsenko, William Chan, Mohammad Norouzi, David J. Fleet:
Video Diffusion Models. CoRR abs/2204.03458 (2022) - [i36]Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Raphael Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, Mohammad Norouzi:
Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding. CoRR abs/2205.11487 (2022) - [i35]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 abs/2210.02303 (2022) - [i34]Daniel Watson, William Chan, Ricardo Martin-Brualla, Jonathan Ho, Andrea Tagliasacchi, Mohammad Norouzi:
Novel View Synthesis with Diffusion Models. CoRR abs/2210.04628 (2022) - [i33]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 abs/2212.06909 (2022) - [i32]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 abs/2212.10562 (2022) - 2021
- [c29]Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan:
WaveGrad: Estimating Gradients for Waveform Generation. ICLR 2021 - [c28]Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan:
Pushing the Limits of Non-Autoregressive Speech Recognition. Interspeech 2021: 3725-3729 - [c27]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: 3765-3769 - [i31]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 abs/2104.02133 (2021) - [i30]Edwin G. Ng, Chung-Cheng Chiu, Yu Zhang, William Chan:
Pushing the Limits of Non-Autoregressive Speech Recognition. CoRR abs/2104.03416 (2021) - [i29]Chitwan Saharia, Jonathan Ho, William Chan, Tim Salimans, David J. Fleet, Mohammad Norouzi:
Image Super-Resolution via Iterative Refinement. CoRR abs/2104.07636 (2021) - [i28]Daniel Watson, Jonathan Ho, Mohammad Norouzi, William Chan:
Learning to Efficiently Sample from Diffusion Probabilistic Models. CoRR abs/2106.03802 (2021) - [i27]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 abs/2106.09660 (2021) - [i26]Jonathan Ho, Chitwan Saharia, William Chan, David J. Fleet, Mohammad Norouzi, Tim Salimans:
Cascaded Diffusion Models for High Fidelity Image Generation. CoRR abs/2106.15282 (2021) - [i25]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 abs/2109.13226 (2021) - [i24]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 abs/2111.05826 (2021) - 2020
- [c26]Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi:
Non-Autoregressive Machine Translation with Latent Alignments. EMNLP (1) 2020: 1098-1108 - [c25]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. EMNLP (Findings) 2020: 4208-4220 - [c24]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. EMNLP (1) 2020: 5764-5773 - [c23]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: 6879-6883 - [c22]William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly:
Imputer: Sequence Modelling via Imputation and Dynamic Programming. ICML 2020: 1403-1413 - [i23]Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan:
Insertion-Deletion Transformer. CoRR abs/2001.05540 (2020) - [i22]William Chan, Chitwan Saharia, Geoffrey E. Hinton, Mohammad Norouzi, Navdeep Jaitly:
Imputer: Sequence Modelling via Imputation and Dynamic Programming. CoRR abs/2002.08926 (2020) - [i21]Chitwan Saharia, William Chan, Saurabh Saxena, Mohammad Norouzi:
Non-Autoregressive Machine Translation with Latent Alignments. CoRR abs/2004.07437 (2020) - [i20]Nanxin Chen, Yu Zhang, Heiga Zen, Ron J. Weiss, Mohammad Norouzi, William Chan:
WaveGrad: Estimating Gradients for Waveform Generation. CoRR abs/2009.00713 (2020) - [i19]Harris Chan, Jamie Kiros, William Chan:
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels. CoRR abs/2010.04438 (2020)
2010 – 2019
- 2019
- [c21]Lala Li, William Chan:
Big Bidirectional Insertion Representations for Documents. NGT@EMNLP-IJCNLP 2019: 194-198 - [c20]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: 5621-5625 - [c19]Sara Sabour, William Chan, Mohammad Norouzi:
Optimal Completion Distillation for Sequence Learning. ICLR (Poster) 2019 - [c18]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. ICML 2019: 5976-5985 - [c17]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: 2613-2617 - [i18]Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit:
Insertion Transformer: Flexible Sequence Generation via Insertion Operations. CoRR abs/1902.03249 (2019) - [i17]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 abs/1902.08295 (2019) - [i16]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 abs/1904.08779 (2019) - [i15]William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit:
KERMIT: Generative Insertion-Based Modeling for Sequences. CoRR abs/1906.01604 (2019) - [i14]Guan-Lin Chao, William Chan, Ian R. Lane:
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. CoRR abs/1906.05962 (2019) - [i13]Lala Li, William Chan:
Big Bidirectional Insertion Representations for Documents. CoRR abs/1910.13034 (2019) - [i12]William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit:
An Empirical Study of Generation Order for Machine Translation. CoRR abs/1910.13437 (2019) - [i11]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 abs/1912.05533 (2019) - 2018
- [c16]Jamie Ryan Kiros, William Chan, Geoffrey E. Hinton:
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search. ACL (1) 2018: 922-933 - [c15]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: 378-380 - [c14]Jamie Ryan Kiros, William Chan:
InferLite: Simple Universal Sentence Representations from Natural Language Inference Data. EMNLP 2018: 4868-4874 - [i10]Sara Sabour, William Chan, Mohammad Norouzi:
Optimal Completion Distillation for Sequence Learning. CoRR abs/1810.01398 (2018) - [i9]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 abs/1811.09021 (2018) - [i8]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 abs/1812.02863 (2018) - 2017
- [c13]Yu Zhang, William Chan, Navdeep Jaitly:
Very deep convolutional networks for end-to-end speech recognition. ICASSP 2017: 4845-4849 - [c12]William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly:
Latent Sequence Decompositions. ICLR (Poster) 2017 - [c11]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: 949-953 - [i7]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 abs/1706.02737 (2017) - 2016
- [b1]William Chan:
End-to-End Speech Recognition Models. Carnegie Mellon University, USA, 2016 - [c10]William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals:
Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. ICASSP 2016: 4960-4964 - [c9]Guan-Lin Chao, William Chan, Ian R. Lane:
Speaker-Targeted Audio-Visual Models for Speech Recognition in Cocktail-Party Environments. INTERSPEECH 2016: 2120-2124 - [c8]William Chan, Ian R. Lane:
On Online Attention-Based Speech Recognition and Joint Mandarin Character-Pinyin Training. INTERSPEECH 2016: 3404-3408 - [i6]Yu Zhang, William Chan, Navdeep Jaitly:
Very Deep Convolutional Networks for End-to-End Speech Recognition. CoRR abs/1610.03022 (2016) - [i5]William Chan, Yu Zhang, Quoc V. Le, Navdeep Jaitly:
Latent Sequence Decompositions. CoRR abs/1610.03035 (2016) - 2015
- [j1]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: 43 (2015) - [c7]William Chan, Ian R. Lane:
Deep convolutional neural networks for acoustic modeling in low resource languages. ICASSP 2015: 2056-2060 - [c6]William Chan, Nan Rosemary Ke, Ian R. Lane:
Transferring knowledge from a RNN to a DNN. INTERSPEECH 2015: 3264-3268 - [i4]William Chan, Ian R. Lane:
Deep Recurrent Neural Networks for Acoustic Modelling. CoRR abs/1504.01482 (2015) - [i3]William Chan, Nan Rosemary Ke, Ian R. Lane:
Transferring Knowledge from a RNN to a DNN. CoRR abs/1504.01483 (2015) - [i2]William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals:
Listen, Attend and Spell. CoRR abs/1508.01211 (2015) - 2014
- [c5]William Chan, Ian R. Lane:
Distributed asynchronous optimization of convolutional neural networks. INTERSPEECH 2014: 1073-1077 - 2012
- [c4]William Chan, Jason D. Lohn:
Spike timing dependent plasticity with memristive synapse in neuromorphic systems. IJCNN 2012: 1-6 - [i1]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 abs/1208.3530 (2012)
2000 – 2009
- 2006
- [c3]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: 66 - 2000
- [c2]William Chan:
Temporal-Locig Queries. CAV 2000: 450-463 - [c1]Cetin C. Kiris, Dochan Kwak, William Chan:
Parallel Unsteady Turbo-Pump Simulations For Liquid Rocket Engines. SC 2000: 36
Coauthor Index
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