Han, Wei

17 publications

NeurIPS 2025 Efficient Prompt Compression with Evaluator Heads for Long-Context Transformer Inference Weizhi Fei, Xueyan Niu, Xie Guoqing, Yingqing Liu, Bo Bai, Wei Han

AAAI 2025 Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images Wenrui Li, Zhe Yang, Wei Han, Hengyu Man, Xingtao Wang, Xiaopeng Fan

NeurIPS 2025 MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi

AAAI 2025 Riemann-Based Multi-Scale Attention Reasoning Network for Text-3D Retrieval Wenrui Li, Wei Han, Yandu Chen, Yeyu Chai, Yidan Lu, Xingtao Wang, Xiaopeng Fan

NeurIPSW 2023 RoboVQA: Multimodal Long-Horizon Reasoningfor Robotics Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil Joshi, Pete Florence, Wei Han, Robert Baruch, Yao Lu, Suvir Mirchandani, Peng Xu, Pannag Sanketi, Karol Hausman, Izhak Shafran, Brian Ichter, Yuan Cao

TMLR 2022 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

ICLR 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 N Sainath, Yonghui Wu, Ruoming Pang

ECCV 2020 Streaming Object Detection for 3-D Point Clouds Wei Han, Zhengdong Zhang, Benjamin Caine, Brandon Yang, Christoph Sprunk, Ouais Alsharif, Jiquan Ngiam, Vijay Vasudevan, Jonathon Shlens, Zhifeng Chen

CVPRW 2017 Balanced Two-Stage Residual Networks for Image Super-Resolution Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang

ICCVW 2017 Compact Feature Representation for Image Classification Using ELMs Dongshun Cui, Guanghao Zhang, Wei Han

NeurIPS 2017 Dilated Recurrent Neural Networks Shiyu Chang, Yang Zhang, Wei Han, Mo Yu, Xiaoxiao Guo, Wei Tan, Xiaodong Cui, Michael Witbrock, Mark A Hasegawa-Johnson, Thomas S. Huang

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results 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

ICLR 2015 An Analysis of Unsupervised Pre-Training in Light of Recent Advances Tom Le Paine, Pooya Khorrami, Wei Han, Thomas S. Huang

ICCV 2015 Deep Networks for Image Super-Resolution with Sparse Prior Zhaowen Wang, Ding Liu, Jianchao Yang, Wei Han, Thomas Huang

CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Charles Rosenberg, Li Fei-Fei

CVPRW 2015 Self-Tuned Deep Super Resolution Zhangyang Wang, Yingzhen Yang, Zhaowen Wang, Shiyu Chang, Wei Han, Jianchao Yang, Thomas S. Huang

COLT 2013 Competing with Strategies Wei Han, Alexander Rakhlin, Karthik Sridharan