Wei Han - RankMe

107 papers A* 9A 9B 3C 3Misc 8Journal 60Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Language-Guided Graph Representation Learning for Video Summarization. IEEE Trans. Pattern Anal. Mach. Intell. Wenrui Li, Wei Han, Hengyu Man, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2026	J	`jnl`	Stacked from One: Multi-Scale Self-Injection for Context Window Extension. CoRR Wei Han, Pan Zhou, Shuicheng Yan
2025	A*	`conf`	Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images. AAAI Wenrui Li, Zhe Yang, Wei Han, Hengyu Man, Xingtao Wang, Xiaopeng Fan
2025	J	`jnl`	Language-Guided Graph Representation Learning for Video Summarization. CoRR Wenrui Li, Wei Han, Hengyu Man, Wangmeng Zuo, Xiaopeng Fan, Yonghong Tian
2025	—	`conf`	PREMISE: Matching-based Prediction for Accurate Review Recommendation. NAACL (Findings) Wei Han, Hui Chen, Soujanya Poria
2025	J	`jnl`	PREMISE: Matching-based Prediction for Accurate Review Recommendation. CoRR Wei Han, Hui Chen, Soujanya Poria
2025	A*	`conf`	Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval. AAAI Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu, Xingtao Wang, Xiaopeng Fan
2025	J	`jnl`	Spiking Variational Graph Representation Inference for Video Summarization. CoRR Wenrui Li, Wei Han, Liang-Jian Deng, Ruiqin Xiong, Xiaopeng Fan
2025	J	`jnl`	Spiking Variational Graph Representation Inference for Video Summarization. IEEE Trans. Image Process. Wenrui Li, Wei Han, Liang-Jian Deng, Ruiqin Xiong, Xiaopeng Fan
2024	J	`jnl`	Hyperbolic-constraint Point Cloud Reconstruction from Single RGB-D Images. CoRR Wenrui Li, Zhe Yang, Wei Han, Hengyu Man, Xingtao Wang, Xiaopeng Fan
2024	J	`jnl`	INSTRAUG: Automatic Instruction Augmentation for Multimodal Instruction Fine-tuning. CoRR Wei Han, Hui Chen, Soujanya Poria
2024	Misc	`conf`	Retrieval Augmented End-to-End Spoken Dialog Models. ICASSP Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
2024	J	`jnl`	Retrieval Augmented End-to-End Spoken Dialog Models. CoRR Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
2024	J	`jnl`	Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval. CoRR Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu, Xingtao Wang, Xiaopeng Fan
2024	A*	`conf`	RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. ICRA Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao
2024	—	`conf`	Self-Adaptive Sampling for Accurate Video Question Answering on Image Text Models. NAACL-HLT (Findings) Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria
2024	J	`jnl`	Two are better than one: Context window extension with multi-grained self-injection. CoRR Wei Han, Pan Zhou, Soujanya Poria, Shuicheng Yan
2023	Misc	`conf`	Accelerating RNN-T Training and Inference Using CTC Guidance. ICASSP Yongqiang Wang, Zhehuai Chen, Chengjian Zheng, Yu Zhang, Wei Han, Parisa Haghani
2023	J	`jnl`	AudioPaLM: A Large Language Model That Can Speak and Listen. CoRR Paul K. Rubenstein, Chulayuth Asawaroengchai, Duc Dung Nguyen, Ankur Bapna, Zalán Borsos, Félix de Chaumont Quitry, Peter Chen, Dalia El Badawy, Wei Han, Eugene Kharitonov, Hannah Muckenhirn, Dirk Padfield, James Qin, Danny Rozenberg, Tara N. Sainath, Johan Schalkwyk, Matthew Sharifi, Michelle Tadmor Ramanovich, Marco Tagliasacchi, Alexandru Tudor, Mihajlo Velimirovic, Damien Vincent, Jiahui Yu, Yongqiang Wang, Vicky Zayats, Neil Zeghidour, Yu Zhang, Zhishuai Zhang, Lukas Zilka, Christian Havnø Frank
2023	J	`jnl`	Dialogue Relation Extraction with Document-Level Heterogeneous Graph Attention Networks. Cogn. Comput. Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria
2023	J	`jnl`	Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction. CoRR Yew Ken Chia, Hui Chen, Wei Han, Guizhen Chen, Sharifah Mahani Aljunied, Soujanya Poria, Lidong Bing
2023	Misc	`conf`	Efficient Domain Adaptation for Speech Foundation Models. ICASSP Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Efficient Domain Adaptation for Speech Foundation Models. CoRR Bo Li, Dongseong Hwang, Zhouyuan Huo, Junwen Bai, Guru Prakash, Tara N. Sainath, Khe Chai Sim, Yu Zhang, Wei Han, Trevor Strohman, Françoise Beaufays
2023	J	`jnl`	Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages. CoRR Yu Zhang, Wei Han, James Qin, Yongqiang Wang, Ankur Bapna, Zhehuai Chen, Nanxin Chen, Bo Li, Vera Axelrod, Gary Wang, Zhong Meng, Ke Hu, Andrew Rosenberg, Rohit Prabhavalkar, Daniel S. Park, Parisa Haghani, Jason Riesa, Ginger Perng, Hagen Soltau, Trevor Strohman, Bhuvana Ramabhadran, Tara N. Sainath, Pedro J. Moreno, Chung-Cheng Chiu, Johan Schalkwyk, Françoise Beaufays, Yonghui Wu
2023	A	`conf`	Label Aware Speech Representation Learning For Language Identification. INTERSPEECH Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
2023	J	`jnl`	Label Aware Speech Representation Learning For Language Identification. CoRR Shikhar Vashishth, Shikhar Bharadwaj, Sriram Ganapathy, Ankur Bapna, Min Ma, Wei Han, Vera Axelrod, Partha Talukdar
2023	A	`conf`	LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
2023	J	`jnl`	LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. CoRR Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna
2023	—	`conf`	Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. WASPAA Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani
2023	J	`jnl`	Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. CoRR Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani
2023	J	`jnl`	Multimodal Modeling For Spoken Language Identification. CoRR Shikhar Bharadwaj, Min Ma, Shikhar Vashishth, Ankur Bapna, Sriram Ganapathy, Vera Axelrod, Siddharth Dalmia, Wei Han, Yu Zhang, Daan van Esch, Sandy Ritchie, Partha Talukdar, Jason Riesa
2023	J	`jnl`	Noise2Music: Text-conditioned Music Generation with Diffusion Models. CoRR 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
2023	J	`jnl`	RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. CoRR Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J. Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao
2023	J	`jnl`	SAS Video-QA: Self-Adaptive Sampling for Efficient Video Question-Answering. CoRR Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria
2023	C	`conf`	SLM: Bridge the Thin Gap Between Speech and Text Foundation Models. ASRU Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
2023	J	`jnl`	SLM: Bridge the thin gap between speech and text foundation models. CoRR Mingqiu Wang, Wei Han, Izhak Shafran, Zelin Wu, Chung-Cheng Chiu, Yuan Cao, Yongqiang Wang, Nanxin Chen, Yu Zhang, Hagen Soltau, Paul K. Rubenstein, Lukas Zilka, Dian Yu, Zhong Meng, Golan Pundak, Nikhil Siddhartha, Johan Schalkwyk, Yonghui Wu
2023	A	`conf`	Speech Aware Dialog System Technology Challenge (DSTC11). INTERSPEECH Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda
2023	J	`jnl`	Speech-to-Text Adapter and Speech-to-Entity Retriever Augmented LLMs for Speech Understanding. CoRR Mingqiu Wang, Izhak Shafran, Hagen Soltau, Wei Han, Yuan Cao, Dian Yu, Laurent El Shafey
2022	J	`jnl`	Accented Speech Recognition: Benchmarking, Pre-training, and Diverse Data. CoRR Alëna Aksënova, Zhehuai Chen, Chung-Cheng Chiu, Daan van Esch, Pavel Golik, Wei Han, Levi King, Bhuvana Ramabhadran, Andrew Rosenberg, Suzan Schwartz, Gary Wang
2022	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. IEEE J. Sel. Top. Signal Process. 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
2022	B	`conf`	DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification. COLING Hui Chen, Wei Han, Diyi Yang, Soujanya Poria
2022	J	`jnl`	DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification. CoRR Hui Chen, Wei Han, Diyi Yang, Soujanya Poria
2022	Misc	`conf`	Improving The Latency And Quality Of Cascaded Encoders. ICASSP Tara N. Sainath, Yanzhang He, Arun Narayanan, Rami Botros, Weiran Wang, David Qiu, Chung-Cheng Chiu, Rohit Prabhavalkar, Alexander Gruenstein, Anmol Gulati, Bo Li, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang
2022	A*	`conf`	MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. EMNLP Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria
2022	J	`jnl`	MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences. CoRR Wei Han, Hui Chen, Min-Yen Kan, Soujanya Poria
2022	B	`conf`	SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. COLING Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
2022	J	`jnl`	SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning. CoRR Wei Han, Hui Chen, Zhen Hai, Soujanya Poria, Lidong Bing
2022	—	`conf`	SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. EMNLP (Findings) Hui Chen, Wei Han, Soujanya Poria
2022	J	`jnl`	SAT: Improving Semi-Supervised Text Classification with Simple Instance-Adaptive Self-Training. CoRR Hui Chen, Wei Han, Soujanya Poria
2022	J	`jnl`	Speech Aware Dialog System Technology Challenge (DSTC11). CoRR Hagen Soltau, Izhak Shafran, Mingqiu Wang, Abhinav Rastogi, Jeffrey Zhao, Ye Jia, Wei Han, Yuan Cao, Aramys Miranda
2022	Misc	`conf`	Universal Paralinguistic Speech Representations Using self-Supervised Conformers. ICASSP Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
2022	A	`conf`	Unsupervised Data Selection via Discrete Speech Representation for ASR. INTERSPEECH Zhiyun Lu, Yongqiang Wang, Yu Zhang, Wei Han, Zhehuai Chen, Parisa Haghani
2021	Misc	`conf`	A Better and Faster end-to-end Model for Streaming ASR. ICASSP Bo Li, Anmol Gulati, Jiahui Yu, Tara N. 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
2021	B	`conf`	Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. ICMI Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria
2021	J	`jnl`	Bi-Bimodal Modality Fusion for Correlation-Controlled Multimodal Sentiment Analysis. CoRR Wei Han, Hui Chen, Alexander F. Gelbukh, Amir Zadeh, Louis-Philippe Morency, Soujanya Poria
2021	J	`jnl`	BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition. CoRR 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
2021	A	`conf`	Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models. Interspeech Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
2021	J	`jnl`	Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models. CoRR Thibault Doutre, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Olivier Siohan, Liangliang Cao
2021	A*	`conf`	Dual-mode ASR: Unify and Improve Streaming ASR with Full-context Modeling. ICLR Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
2021	A	`conf`	Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models. Interspeech Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
2021	J	`jnl`	Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models. CoRR Zhiyun Lu, Wei Han, Yu Zhang, Liangliang Cao
2021	Misc	`conf`	FastEmit: Low-Latency Streaming ASR with Sequence-Level Emission Regularization. ICASSP Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
2021	—	`conf`	Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. EMNLP (1) Wei Han, Hui Chen, Soujanya Poria
2021	J	`jnl`	Improving Multimodal Fusion with Hierarchical Mutual Information Maximization for Multimodal Sentiment Analysis. CoRR Wei Han, Hui Chen, Soujanya Poria
2021	Misc	`conf`	Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data. ICASSP Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2021	—	`conf`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. SLT Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2021	J	`jnl`	Universal Paralinguistic Speech Representations Using Self-Supervised Conformers. CoRR Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang
2021	J	`jnl`	W2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. CoRR Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
2021	C	`conf`	w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. ASRU Yu-An Chung, Yu Zhang, Wei Han, Chung-Cheng Chiu, James Qin, Ruoming Pang, Yonghui Wu
2020	J	`jnl`	A Better and Faster End-to-End Model for Streaming ASR. CoRR Bo Li, Anmol Gulati, Jiahui Yu, Tara N. 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
2020	A	`conf`	Conformer: Convolution-augmented Transformer for Speech Recognition. INTERSPEECH Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
2020	J	`jnl`	Conformer: Convolution-augmented Transformer for Speech Recognition. CoRR Anmol Gulati, James Qin, Chung-Cheng Chiu, Niki Parmar, Yu Zhang, Jiahui Yu, Wei Han, Shibo Wang, Zhengdong Zhang, Yonghui Wu, Ruoming Pang
2020	A	`conf`	ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. INTERSPEECH Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
2020	J	`jnl`	ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context. CoRR Wei Han, Zhengdong Zhang, Yu Zhang, Jiahui Yu, Chung-Cheng Chiu, James Qin, Anmol Gulati, Ruoming Pang, Yonghui Wu
2020	J	`jnl`	Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks. CoRR Hui Chen, Pengfei Hong, Wei Han, Navonil Majumder, Soujanya Poria
2020	J	`jnl`	FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization. CoRR Jiahui Yu, Chung-Cheng Chiu, Bo Li, Shuo-Yiin Chang, Tara N. Sainath, Yanzhang He, Arun Narayanan, Wei Han, Anmol Gulati, Yonghui Wu, Ruoming Pang
2020	A	`conf`	Improved Noisy Student Training for Automatic Speech Recognition. INTERSPEECH Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
2020	J	`jnl`	Improved Noisy Student Training for Automatic Speech Recognition. CoRR Daniel S. Park, Yu Zhang, Ye Jia, Wei Han, Chung-Cheng Chiu, Bo Li, Yonghui Wu, Quoc V. Le
2020	J	`jnl`	Improving Streaming Automatic Speech Recognition With Non-Streaming Model Distillation On Unsupervised Data. CoRR Thibault Doutre, Wei Han, Min Ma, Zhiyun Lu, Chung-Cheng Chiu, Ruoming Pang, Arun Narayanan, Ananya Misra, Yu Zhang, Liangliang Cao
2020	J	`jnl`	Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition. CoRR Yu Zhang, James Qin, Daniel S. Park, Wei Han, Chung-Cheng Chiu, Ruoming Pang, Quoc V. Le, Yonghui Wu
2020	J	`jnl`	RNN-T Models Fail to Generalize to Out-of-Domain Audio: Causes and Solutions. CoRR Chung-Cheng Chiu, Arun Narayanan, Wei Han, Rohit Prabhavalkar, Yu Zhang, Navdeep Jaitly, Ruoming Pang, Tara N. Sainath, Patrick Nguyen, Liangliang Cao, Yonghui Wu
2020	A*	`conf`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2020	—	`conf`	Streaming Object Detection for 3-D Point Clouds. ECCV (18) Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2020	J	`jnl`	Streaming Object Detection for 3-D Point Clouds. CoRR Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen
2020	J	`jnl`	Universal ASR: Unify and Improve Streaming ASR with Full-context Modeling. CoRR Jiahui Yu, Wei Han, Anmol Gulati, Chung-Cheng Chiu, Bo Li, Tara N. Sainath, Yonghui Wu, Ruoming Pang
2019	C	`conf`	A Comparison of End-to-End Models for Long-Form Speech Recognition. ASRU Chung-Cheng Chiu, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang
2019	J	`jnl`	A comparison of end-to-end models for long-form speech recognition. CoRR Chung-Cheng Chiu, Wei Han, Yu Zhang, Ruoming Pang, Sergey Kishchenko, Patrick Nguyen, Arun Narayanan, Hank Liao, Shuyuan Zhang, Anjuli Kannan, Rohit Prabhavalkar, Zhifeng Chen, Tara N. Sainath, Yonghui Wu
2019	—	`—`	Learning compact neural network representations with structural priors Wei Han
2019	J	`jnl`	Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2019	J	`jnl`	StarNet: Targeted Computation for Object Detection in Point Clouds. CoRR Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan
2018	—	`conf`	3D-FilterMap: A Compact Architecture for Deep Convolutional Neural Networks. ICLR (Workshop) Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han, Nebojsa Jojic, Thomas S. Huang
2018	A*	`conf`	Image Super-Resolution via Dual-State Recurrent Networks. CVPR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	J	`jnl`	Image Super-Resolution via Dual-State Recurrent Networks. CoRR Wei Han, Shiyu Chang, Ding Liu, Mo Yu, Michael Witbrock, Thomas S. Huang
2018	J	`jnl`	Learning 3D-FilterMap for Deep Convolutional Neural Networks. CoRR Yingzhen Yang, Jianchao Yang, Ning Xu, Wei Han
2017	—	`conf`	Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang
2017	—	`conf`	Dilated Recurrent Neural Networks. NIPS Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017	J	`jnl`	Dilated Recurrent Neural Networks. CoRR Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark Hasegawa-Johnson, Thomas S. Huang
2017	—	`conf`	NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo
2016	J	`jnl`	Robust Single Image Super-Resolution via Deep Networks With Sparse Prior. IEEE Trans. Image Process. Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Thomas S. Huang
2016	J	`jnl`	Seq-NMS for Video Object Detection. CoRR Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang
2015	—	`conf`	An Analysis of Unsupervised Pre-training in Light of Recent Advances. ICLR (Workshop) Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang
2015	A*	`conf`	Deep Networks for Image Super-Resolution with Sparse Prior. ICCV Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang
2015	J	`jnl`	Deeply Improved Sparse Coding for Image Super-Resolution. CoRR Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas S. Huang
2015	A*	`conf`	Heterogeneous Network Embedding via Deep Architectures. KDD Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2015	J	`jnl`	Self-Tuned Deep Super Resolution. CoRR Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2015	—	`conf`	Self-tuned deep super resolution. CVPR Workshops Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang
2014	—	`ch.`	Multimedia Classification. Data Classification: Algorithms and Applications Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang