Zhouhan Lin

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 72

Top Topics

Reinforcement Learning

Top Venues

Publications

Xuekai Zhu, Biqing Qi, Kaiyan Zhang, Xinwei Long, Zhouhan Lin, Bowen Zhou
PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. NAACL-HLT (2024)
Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. WSDM (2024)
Yusheng Huang, Ning Hu, Kunping Li, Nan Wang, Zhouhan Lin
Extracting Financial Events from Raw Texts via Matrix Chunking. LREC/COLING (2024)
Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou
Towards Controlled Table-to-Text Generation with Scientific Reasoning. ICASSP (2024)
Zhouhan Lin, Cheng Deng, Le Zhou, Tianhang Zhang, Yi Xu, Yutong Xu, Zhongmou He, Yuanyuan Shi, Beiya Dai, Yunchong Song, Boyi Zeng, Qiyuan Chen, Tao Shi, Tianyu Huang, Yiwei Xu, Shu Wang, Luoyi Fu, Weinan Zhang, Junxian He, Chao Ma, Yunqiang Zhu, Xinbing Wang, Chenghu Zhou
GeoGalactica: A Scientific Large Language Model in Geoscience. CoRR (2024)
Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin
Graph Parsing Networks. CoRR (2024)
Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. CoRR (2024)
Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin
Critical Data Size of Language Models from a Grokking Perspective. CoRR (2024)
Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin
Graph Parsing Networks. ICLR (2024)
Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin
Text Classification in the Wild: a Large-scale Long-tailed Name Normalization Dataset. CoRR (2023)
Yusheng Huang, Zhouhan Lin
Document-Level Relation Extraction with Relation Correlation Enhancement. ICONIP (13) (2023)
Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. CoRR (2023)
Yusheng Huang, Zhouhan Lin
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction. MMAsia (2023)
Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. CoRR (2023)
Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin
Asymmetric Polynomial Loss For Multi-Label Classification. CoRR (2023)
Yusheng Huang, Zhouhan Lin
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction. CoRR (2023)
Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. ICLR (2023)
Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
Tailoring Self-Attention for Graph via Rooted Subtrees. NeurIPS (2023)
Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. ACL (Findings) (2023)
Zhixin Guo, Minyxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang
Few-Shot Table-to-Text Generation with Prompt-based Adapter. CoRR (2023)
Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou
Towards Controlled Table-to-Text Generation with Scientific Reasoning. CoRR (2023)
Yi Xu, Shuqian Sheng, Jiexing Qi, Luoyi Fu, Zhouhan Lin, Xinbing Wang, Chenghu Zhou
Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model. ACL (1) (2023)
Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin
Asymmetric Polynomial Loss for Multi-Label Classification. ICASSP (2023)
Zhixin Guo, Minyxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization. CoRR (2023)
Yusheng Huang, Zhouhan Lin
Document-Level Relation Extraction with Relation Correlation Enhancement. CoRR (2023)
Boyi Zeng, Chenghu Zhou, Xinbing Wang, Zhouhan Lin
HuRef: HUman-REadable Fingerprint for Large Language Models. CoRR (2023)
Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He
Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. CoRR (2023)
Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin
Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset. ICASSP (2023)
Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin
Tailoring Self-Attention for Graph via Rooted Subtrees. CoRR (2023)
Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. EMNLP (2022)
Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin
Text Editing as Imitation Game. EMNLP (Findings) (2022)
Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. CoRR (2022)
Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, Xinbing Wang
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion. CoRR (2022)
Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin
Text Editing as Imitation Game. CoRR (2022)
Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
Block-Skim: Efficient Question Answering for Transformer. AAAI (2022)
Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin
Syntax-guided Localized Self-attention by Constituency Syntactic Distance. EMNLP (Findings) (2022)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) (2022)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
Transkimmer: Transformer Learns to Layer-wise Skim. CoRR (2022)
Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition. CoRR (2022)
Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin
Syntax-guided Localized Self-attention by Constituency Syntactic Distance. CoRR (2022)
Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition. ACL (1) (2022)
Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin
Revisit Systematic Generalization via Meaningful Learning. BlackboxNLP@EMNLP (2022)
Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
Incorporating External POS Tagger for Punctuation Restoration. Interspeech (2021)
Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Annotation Inconsistency and Entity Bias in MultiWOZ. SIGDIAL (2021)
Xin He, Yushi Chen, Zhouhan Lin
Spatial-Spectral Transformer for Hyperspectral Image Classification. Remote. Sens. 13 (3) (2021)
Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar
Annotation Inconsistency and Entity Bias in MultiWOZ. CoRR (2021)
Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin
Incorporating External POS Tagger for Punctuation Restoration. CoRR (2021)
Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu
Block-Skim: Efficient Question Answering for Transformer. CoRR (2021)
Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li
Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR (2020)
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. ACL (2020)
Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang
Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. CoRR (2020)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. CoRR (2019)
Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler
Interactive Language Learning by Question Answering. EMNLP/IJCNLP (1) (2019)
Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. NeurIPS (2019)
Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville
Ordered Memory. CoRR (2019)
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. ACL (1) (2018)
Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. CoRR (2018)
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal
Focused Hierarchical RNNs for Conditional Sequence Processing. ICML (2018)
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) (2018)
Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni, Yoshua Bengio
Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. Rep4NLP@ACL (2018)
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal
Focused Hierarchical RNNs for Conditional Sequence Processing. CoRR (2018)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brébisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
A Deep Reinforcement Learning Chatbot (Short Version). CoRR (2018)
Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville
Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR (2017)
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
A Structured Self-Attentive Sentence Embedding. ICLR (Poster) (2017)
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio
A Structured Self-attentive Sentence Embedding. CoRR (2017)
Iulian Vlad Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Mudumba, Alexandre de Brébisson, Jose Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio
A Deep Reinforcement Learning Chatbot. CoRR (2017)
Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio
Neural Networks with Few Multiplications. ICLR (2016)
Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio
Architectural Complexity Measures of Recurrent Neural Networks. NIPS (2016)
Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermüller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul F. Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron C. Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Melanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian J. Goodfellow, Matthew Graham, Çaglar Gülçehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrançois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Joseph Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph P. Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang
Theano: A Python framework for fast computation of mathematical expressions. CoRR (2016)
Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio
Recurrent Neural Networks With Limited Numerical Precision. CoRR (2016)
Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio
Architectural Complexity Measures of Recurrent Neural Networks. CoRR (2016)
Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio
Recurrent Neural Networks With Limited Numerical Precision. CoRR (2016)
Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders. CoRR (2015)
Yoshua Bengio, Dong-Hyun Lee, Jörg Bornschein, Zhouhan Lin
Towards Biologically Plausible Deep Learning. CoRR (2015)
Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda
How far can we go without convolution: Improving fully-connected networks. CoRR (2015)
Yushi Chen, Xing Zhao, Zhouhan Lin
Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (4) (2014)
Yushi Chen, Zhouhan Lin, Xing Zhao, Gang Wang, Yanfeng Gu
Deep Learning-Based Classification of Hyperspectral Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (6) (2014)
Yushi Chen, Xing Zhao, Zhouhan Lin
Joint Adaboost and multifeature based ensemble for hyperspectral image classification. IGARSS (2014)
Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang
Spectral-spatial classification of hyperspectral image using autoencoders. ICICS (2013)
Yushi Chen, Zhouhan Lin, Xing Zhao
Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification. IGARSS (2013)
Yushi Chen, Changbo Qu, Zhouhan Lin
Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification. IGARSS (2013)
Haicheng Qu, Junping Zhang, Zhouhan Lin, Hao Chen
Parallel Acceleration of SAM Algorithm and Performance Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (3) (2013)
Haicheng Qu, Junping Zhang, Yushi Chen, Hao Chen, Zhouhan Lin
Parallel implementation for SAM algorithm based on GPU and distributed computing. IGARSS (2012)