Lin, Zhouhan

22 publications

ICLR 2026 AWM: Accurate Weight-Matrix Fingerprint for Large Language Models Boyi Zeng, Lin Chen, Ziwei He, Xinbing Wang, Zhouhan Lin
ICLR 2026 Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets Bo Xue, Yunchong Song, Fanghao Shao, Xuekai Zhu, Lin Chen, Luoyi Fu, Xinbing Wang, Zhouhan Lin
ICLR 2026 FlowRL: Matching Reward Distributions for LLM Reasoning Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin
ICLR 2026 FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension Jushi Kai, Yixuan Wang, Boyi Zeng, Haoli Bai, Bo Jiang, Ziwei He, Zhouhan Lin
ICLR 2026 MLP Memory: A Retriever-Pretrained Memory for Large Language Models Rubin Wei, Jiaqi Cao, Jiarui Wang, Jushi Kai, Qipeng Guo, Bowen Zhou, Zhouhan Lin
ICLR 2026 PonderLM: Pretraining Language Models to Ponder in Continuous Space Boyi Zeng, Shixiang Song, Siyuan Huang, Yixuan Wang, He Li, Ziwei He, Xinbing Wang, Zhiyu Li, Zhouhan Lin
ICML 2025 AdaptiveStep: Automatically Dividing Reasoning Step Through Model Confidence Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin
ICML 2025 How to Synthesize Text Data Without Model Collapse? Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua, Xingtai Lv, Ning Ding, Zhouhan Lin, Zilong Zheng, Bowen Zhou
NeurIPS 2025 Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models Jiaqi Cao, Jiarui Wang, Rubin Wei, Qipeng Guo, Kai Chen, Bowen Zhou, Zhouhan Lin
ICLR 2025 Training-Free LLM-Generated Text Detection by Mining Token Probability Sequences Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu
NeurIPS 2024 Cluster-Wise Graph Transformer with Dual-Granularity Kernelized Attention Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
ICLR 2024 Graph Parsing Networks Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin
NeurIPS 2024 HuRef: HUman-REadable Fingerprint for Large Language Models Boyi Zeng, Lizheng Wang, Yuncong Hu, Yi Xu, Chenghu Zhou, Xinbing Wang, Yu Yu, Zhouhan Lin
ICLR 2023 Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-Smoothing Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
NeurIPS 2023 Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
AAAI 2022 Block-Skim: Efficient Question Answering for Transformer Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
NeurIPS 2019 Ordered Memory Yikang Shen, Shawn Tan, Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
ICML 2018 Focused Hierarchical RNNs for Conditional Sequence Processing Nan Rosemary Ke, Konrad Żołna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher Pal
ICLR 2018 Neural Language Modeling by Jointly Learning Syntax and Lexicon Yikang Shen, Zhouhan Lin, Chin-wei Huang, Aaron Courville
ICLR 2017 A Structured Self-Attentive Sentence Embedding Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
NeurIPS 2016 Architectural Complexity Measures of Recurrent Neural Networks Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio
ICLR 2016 Neural Networks with Few Multiplications Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio