Shi, Han

19 publications

ICLR 2025 Accelerating Auto-Regressive Text-to-Image Generation with Training-Free Speculative Jacobi Decoding Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li, Xihui Liu

TMLR 2025 AlgoFormer: An Efficient Transformer Framework with Algorithmic Structures Yihang Gao, Chuanyang Zheng, Enze Xie, Han Shi, Tianyang Hu, Yu Li, Michael Ng, Zhenguo Li, Zhaoqiang Liu

IJCAI 2025 MMNet: Missing-Aware and Memory-Enhanced Network for Multivariate Time Series Imputation Xiaoye Miao, Han Shi, Yi Yuan, Daozhan Pan, Yangyang Wu, Xiaohua Pan

NeurIPS 2025 Multi-Objective One-Shot Pruning for Large Language Models Weiyu Chen, Hansi Yang, Yunhao Gou, Han Shi, En-Liang Hu, Zhenguo Li, James Kwok

ICML 2025 SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang

NeurIPS 2025 Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-Image Generation Yao Teng, Fu-Yun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou, Xihui Liu

NeurIPS 2024 DAPE: Data-Adaptive Positional Encoding for Length Extrapolation Chuanyang Zheng, Yihang Gao, Han Shi, Minbin Huang, Jingyao Li, Jing Xiong, Xiaozhe Ren, Michael Ng, Xin Jiang, Zhenguo Li, Yu Li

NeurIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

ICLR 2024 LEGO-Prover: Neural Theorem Proving with Growing Libraries Haiming Wang, Huajian Xin, Chuanyang Zheng, Zhengying Liu, Qingxing Cao, Yinya Huang, Jing Xiong, Han Shi, Enze Xie, Jian Yin, Zhenguo Li, Xiaodan Liang

ICLR 2024 MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu

ICCV 2023 DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li

ICCV 2023 GrowCLIP: Data-Aware Automatic Model Growing for Large-Scale Contrastive Language-Image Pre-Training Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang

AAAI 2022 AutoBERT-Zero: Evolving BERT Backbone from Scratch Jiahui Gao, Hang Xu, Han Shi, Xiaozhe Ren, Philip L. H. Yu, Xiaodan Liang, Xin Jiang, Zhenguo Li

CVPR 2022 Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang

ICLR 2022 Revisiting Over-Smoothing in BERT from the Perspective of Graph Han Shi, Jiahui Gao, Hang Xu, Xiaodan Liang, Zhenguo Li, Lingpeng Kong, Stephen M. S. Lee, James Kwok

ICML 2021 SparseBERT: Rethinking the Importance Analysis in Self-Attention Han Shi, Jiahui Gao, Xiaozhe Ren, Hang Xu, Xiaodan Liang, Zhenguo Li, James Tin-Yau Kwok

NeurIPS 2020 Bridging the Gap Between Sample-Based and One-Shot Neural Architecture Search with BONAS Han Shi, Renjie Pi, Hang Xu, Zhenguo Li, James T. Kwok, Tong Zhang

AAAI 2020 Effective Decoding in Graph Auto-Encoder Using Triadic Closure Han Shi, Haozheng Fan, James T. Kwok

AAAI 2020 Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang