Zhouhan Lin

According to our database, Zhouhan Lin authored at least 54 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Parsing Networks.

Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin

CoRR, 2024

Critical Data Size of Language Models from a Grokking Perspective.

Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin

CoRR, 2024

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully.

Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin

CoRR, 2024

GeoGalactica: A Scientific Large Language Model in Geoscience.

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

CoRR, 2024

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.

Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023

Towards Controlled Table-to-Text Generation with Scientific Reasoning.

Zhixin Guo, Jianping Zhou, Jiexing Qi, Mingxuan Yan, Ziwei He, Guanjie Zheng, Zhouhan Lin, Xinbing Wang, Chenghu Zhou

CoRR, 2023

HuRef: HUman-REadable Fingerprint for Large Language Models.

Boyi Zeng, Chenghu Zhou, Xinbing Wang, Zhouhan Lin

CoRR, 2023

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization.

Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Le Zhou, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He

CoRR, 2023

Few-Shot Table-to-Text Generation with Prompt-based Adapter.

Zhixin Guo, Mingxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang

CoRR, 2023

Tailoring Self-Attention for Graph via Rooted Subtrees.

Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction.

Yusheng Huang, Zhouhan Lin

Proceedings of the ACM Multimedia Asia 2023, 2023

Document-Level Relation Extraction with Relation Correlation Enhancement.

Yusheng Huang, Zhouhan Lin

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing.

Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Text Classification In The Wild: A Large-Scale Long-Tailed Name Normalization Dataset.

Jiexing Qi, Shuhao Li, Zhixin Guo, Yusheng Huang, Chenghu Zhou, Weinan Zhang, Xinbing Wang, Zhouhan Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Asymmetric Polynomial Loss for Multi-Label Classification.

Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model.

Yi Xu, Shuqian Sheng, Jiexing Qi, Luoyi Fu, Zhouhan Lin, Xinbing Wang, Chenghu Zhou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.

Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion.

Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, Xinbing Wang

CoRR, 2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.

Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin

CoRR, 2022

Text Editing as Imitation Game.

Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL.

Jiexing Qi, Jingyao Tang, Ziwei He, Xiangpeng Wan, Yu Cheng, Chenghu Zhou, Xinbing Wang, Quanshi Zhang, Zhouhan Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Syntax-guided Localized Self-attention by Constituency Syntactic Distance.

Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Revisit Systematic Generalization via Meaningful Learning.

Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition.

Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Transkimmer: Transformer Learns to Layer-wise Skim.

Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Block-Skim: Efficient Question Answering for Transformer.

Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Spatial-Spectral Transformer for Hyperspectral Image Classification.

Xin He, Yushi Chen, Zhouhan Lin

Remote. Sens., 2021

Annotation Inconsistency and Entity Bias in MultiWOZ.

Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Incorporating External POS Tagger for Punctuation Restoration.

Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

Reciprocal Supervised Learning Improves Neural Machine Translation.

Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li

CoRR, 2020

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach.

Wenyu Du, Zhouhan Lin, Yikang Shen, Timothy J. O'Donnell, Yoshua Bengio, Yue Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Ordered Memory.

Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Interactive Language Learning by Question Answering.

Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Chris Pal, Yoshua Bengio, Adam Trischler

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

A Deep Reinforcement Learning Chatbot (Short Version).

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

CoRR, 2018

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences.

Athul Paul Jacob, Zhouhan Lin, Alessandro Sordoni, Yoshua Bengio

Proceedings of The Third Workshop on Representation Learning for NLP, 2018

Focused Hierarchical RNNs for Conditional Sequence Processing.

Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Christopher J. Pal

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Language Modeling by Jointly Learning Syntax and Lexicon.

Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville

Proceedings of the 6th International Conference on Learning Representations, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.

Yikang Shen, Zhouhan Lin, Athul Paul Jacob, Alessandro Sordoni, Aaron C. Courville, Yoshua Bengio

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Deep Reinforcement Learning Chatbot.

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

CoRR, 2017

A Structured Self-Attentive Sentence Embedding.

Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Recurrent Neural Networks With Limited Numerical Precision.

Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio

CoRR, 2016

Neural Networks with Few Multiplications.

Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio

Proceedings of the 4th International Conference on Learning Representations, 2016

Theano: A Python framework for fast computation of mathematical expressions.

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

CoRR, 2016

Architectural Complexity Measures of Recurrent Neural Networks.

Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

How far can we go without convolution: Improving fully-connected networks.

Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda

CoRR, 2015

Towards Biologically Plausible Deep Learning.

Yoshua Bengio, Dong-Hyun Lee, Jörg Bornschein, Zhouhan Lin

CoRR, 2015

2014

Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification.

Yushi Chen, Xing Zhao, Zhouhan Lin

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Deep Learning-Based Classification of Hyperspectral Data.

Yushi Chen, Zhouhan Lin, Xing Zhao, Gang Wang, Yanfeng Gu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

Joint Adaboost and multifeature based ensemble for hyperspectral image classification.

Yushi Chen, Xing Zhao, Zhouhan Lin

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013

Parallel Acceleration of SAM Algorithm and Performance Analysis.

Haicheng Qu, Junping Zhang, Zhouhan Lin, Hao Chen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification.

Yushi Chen, Changbo Qu, Zhouhan Lin

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification.

Yushi Chen, Zhouhan Lin, Xing Zhao

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Spectral-spatial classification of hyperspectral image using autoencoders.

Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang

Proceedings of the 9th International Conference on Information, 2013

2012

Parallel implementation for SAM algorithm based on GPU and distributed computing.

Haicheng Qu, Junping Zhang, Yushi Chen, Hao Chen, Zhouhan Lin

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012