Parallel implementation for SAM algorithm based on GPU and distributed computing. - Haicheng Qu; Junping Zhang; Yushi Chen; Hao Chen 014; Zhouhan Lin (IGARSS, 2012)

Spectral-spatial classification of hyperspectral image using autoencoders. - Zhouhan Lin; Yushi Chen; Xing Zhao 005; Gang Wang 012 (ICICS, 2013)

Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification. - Yushi Chen; Zhouhan Lin; Xing Zhao 005 (IGARSS, 2013)

Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification. - Yushi Chen; Changbo Qu; Zhouhan Lin (IGARSS, 2013)

Parallel Acceleration of SAM Algorithm and Performance Analysis. - Haicheng Qu; Junping Zhang; Zhouhan Lin; Hao Chen 014 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013)

Joint Adaboost and multifeature based ensemble for hyperspectral image classification. - Yushi Chen; Xing Zhao 005; Zhouhan Lin (IGARSS, 2014)

Deep Learning-Based Classification of Hyperspectral Data. - Yushi Chen; Zhouhan Lin; Xing Zhao 005; Gang Wang 012; Yanfeng Gu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Optimizing Subspace SVM Ensemble for Hyperspectral Imagery Classification. - Yushi Chen; Xing Zhao 005; Zhouhan Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Towards Biologically Plausible Deep Learning. - Yoshua Bengio; Dong-Hyun Lee; Jörg Bornschein; Zhouhan Lin (CoRR, 2015)

How far can we go without convolution: Improving fully-connected networks. - Zhouhan Lin; Roland Memisevic; Kishore Reddy Konda (CoRR, 2015)

Architectural Complexity Measures of Recurrent Neural Networks. - Saizheng Zhang; Yuhuai Wu; Tong Che; Zhouhan Lin; Roland Memisevic; Ruslan Salakhutdinov; Yoshua Bengio (NIPS, 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; et al. (CoRR, 2016)

Neural Networks with Few Multiplications. - Zhouhan Lin; Matthieu Courbariaux; Roland Memisevic; Yoshua Bengio (ICLR, 2016)

Recurrent Neural Networks With Limited Numerical Precision. - Joachim Ott; Zhouhan Lin; Ying Zhang 033; Shih-Chii Liu; Yoshua Bengio (CoRR, 2016)

A Structured Self-Attentive Sentence Embedding. - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou 002; Yoshua Bengio (ICLR (Poster), 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; et al. (CoRR, 2017)

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. - Yikang Shen; Zhouhan Lin; Athul Paul Jacob; Alessandro Sordoni; Aaron C. Courville; Yoshua Bengio (ACL (1), 2018)

Neural Language Modeling by Jointly Learning Syntax and Lexicon. - Yikang Shen; Zhouhan Lin; Chin-Wei Huang; Aaron C. Courville (ICLR (Poster), 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 (ICML, 2018)

Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. - Athul Paul Jacob; Zhouhan Lin; Alessandro Sordoni; Yoshua Bengio (Rep4NLP@ACL, 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; et al. (CoRR, 2018)

Interactive Language Learning by Question Answering. - Xingdi Yuan; Marc-Alexandre Côté; Jie Fu 001; Zhouhan Lin; Chris Pal; Yoshua Bengio; Adam Trischler (EMNLP/IJCNLP (1), 2019)

Ordered Memory. - Yikang Shen; Shawn Tan; Seyed Arian Hosseini; Zhouhan Lin; Alessandro Sordoni; Aaron C. Courville (NeurIPS, 2019)

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 004 (ACL, 2020)

Reciprocal Supervised Learning Improves Neural Machine Translation. - Minkai Xu; Mingxuan Wang; Zhouhan Lin; Hao Zhou 012; Weinan Zhang 001; Lei Li 005 (CoRR, 2020)

Incorporating External POS Tagger for Punctuation Restoration. - Ning Shi; Wei Wang; Boxin Wang; Jinfeng Li; Xiangyu Liu; Zhouhan Lin (Interspeech, 2021)

Annotation Inconsistency and Entity Bias in MultiWOZ. - Kun Qian 016; Ahmad Beirami; Zhouhan Lin; Ankita De; Alborz Geramifard; Zhou Yu 005; Chinnadhurai Sankar (SIGDIAL, 2021)

Spatial-Spectral Transformer for Hyperspectral Image Classification. - Xin He 004; Yushi Chen; Zhouhan Lin (Remote. Sens., 2021)

Block-Skim: Efficient Question Answering for Transformer. - Yue Guan 003; Zhengyi Li 002; Zhouhan Lin; Yuhao Zhu 001; Jingwen Leng; Minyi Guo (AAAI, 2022)

Transkimmer: Transformer Learns to Layer-wise Skim. - Yue Guan 003; Zhengyi Li 002; Jingwen Leng; Zhouhan Lin; Minyi Guo (ACL (1), 2022)

Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition. - Xichen Pan; Peiyu Chen; Yichen Gong; Helong Zhou; Xinbing Wang; Zhouhan Lin (ACL (1), 2022)

Revisit Systematic Generalization via Meaningful Learning. - Ning Shi; Boxin Wang; Wei Wang; Xiangyu Liu; Zhouhan Lin (BlackboxNLP@EMNLP, 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 (EMNLP (Findings), 2022)

RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL. - Jiexing Qi; Jingyao Tang; Ziwei He; Xiangpeng Wan; Yu Cheng 003; Chenghu Zhou; Xinbing Wang; Quanshi Zhang; Zhouhan Lin (EMNLP, 2022)

Text Editing as Imitation Game. - Ning Shi; Bin Tang; Bo Yuan; Longtao Huang; Yewen Pu; Jie Fu; Zhouhan Lin (EMNLP (Findings), 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)

INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion. - Yi Xu 004; Luoyi Fu; Zhouhan Lin; Jiexing Qi; Xinbing Wang (CoRR, 2022)

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 (ACL (Findings), 2023)

Unsupervised Graph-Text Mutual Conversion with a Unified Pretrained Language Model. - Yi Xu 004; Shuqian Sheng; Jiexing Qi; Luoyi Fu; Zhouhan Lin; Xinbing Wang; Chenghu Zhou (ACL (1), 2023)

Asymmetric Polynomial Loss for Multi-Label Classification. - Yusheng Huang; Jiexing Qi; Xinbing Wang; Zhouhan Lin (ICASSP, 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 001; Xinbing Wang; Zhouhan Lin (ICASSP, 2023)

Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. - Yunchong Song; Chenghu Zhou; Xinbing Wang; Zhouhan Lin (ICLR, 2023)

Document-Level Relation Extraction with Relation Correlation Enhancement. - Yusheng Huang; Zhouhan Lin (ICONIP (13), 2023)

I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction. - Yusheng Huang; Zhouhan Lin (MMAsia, 2023)

Tailoring Self-Attention for Graph via Rooted Subtrees. - Siyuan Huang 003; Yunchong Song; Jiayue Zhou; Zhouhan Lin (NeurIPS, 2023)

Few-Shot Table-to-Text Generation with Prompt-based Adapter. - Zhixin Guo; Mingxuan Yan; Jiexing Qi; Jianping Zhou 004; Ziwei He; Zhouhan Lin; Guanjie Zheng; Xinbing Wang (CoRR, 2023)

Learning A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Le Zhou; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (CoRR, 2023)

HuRef: HUman-REadable Fingerprint for Large Language Models. - Boyi Zeng; Chenghu Zhou; Xinbing Wang; Zhouhan Lin (CoRR, 2023)

Breaking the Bottleneck on Graphs with Structured State Spaces. - Yunchong Song; Siyuan Huang 003; Jiacheng Cai; Xinbing Wang; Chenghu Zhou; Zhouhan Lin (CIKM, 2024)

Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training. - Chang Su; Jiexing Qi; He Yan; Kai Zou; Zhouhan Lin (CIKM, 2024)

Extracting Financial Events from Raw Texts via Matrix Chunking. - Yusheng Huang; Ning Hu; Kunping Li; Nan Wang; Zhouhan Lin (LREC/COLING, 2024)

Mirror-Consistency: Harnessing Inconsistency in Majority Voting. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002; Zhouhan Lin (EMNLP (Findings), 2024)

Leveraging Grammar Induction for Language Understanding and Generation. - Jushi Kai; Shengyuan Hou; Yusheng Huang; Zhouhan Lin (EMNLP (Findings), 2024)

SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. - Jushi Kai; Tianhang Zhang; Hai Hu; Zhouhan Lin (EMNLP (Findings), 2024)

Enable Fast Sampling for Seq2Seq Text Diffusion. - Pan Liu; Xiaohua Tian; Zhouhan Lin (EMNLP (Findings), 2024)

Towards Controlled Table-to-Text Generation with Scientific Reasoning. - Zhixin Guo; Jianping Zhou 004; Jiexing Qi; Mingxuan Yan; Ziwei He; Guanjie Zheng; Zhouhan Lin; Xinbing Wang; Chenghu Zhou (ICASSP, 2024)

Graph Parsing Networks. - Yunchong Song; Siyuan Huang 003; Xinbing Wang; Chenghu Zhou; Zhouhan Lin (ICLR, 2024)

SWave: Improving Vocoder Efficiency by Straightening the Waveform Generation Path. - Pan Liu; Jianping Zhou 004; Xiaohua Tian; Zhouhan Lin (ICPR (6), 2024)

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning. - Xuekai Zhu; Biqing Qi; Kaiyan Zhang; Xinwei Long; Zhouhan Lin; Bowen Zhou 002 (NAACL-HLT, 2024)

Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention. - Siyuan Huang 003; Yunchong Song; Jiayue Zhou; Zhouhan Lin (NeurIPS, 2024)

HuRef: HUman-REadable Fingerprint for Large Language Models. - Boyi Zeng; Lizheng Wang; Yuncong Hu; Yi Xu 004; Chenghu Zhou; Xinbing Wang; Yu Yu; Zhouhan Lin (NeurIPS, 2024)

K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. - Cheng Deng; Tianhang Zhang; Zhongmou He; Qiyuan Chen 002; Yuanyuan Shi; Yi Xu 004; Luoyi Fu; Weinan Zhang 001; Xinbing Wang; Chenghu Zhou; Zhouhan Lin; Junxian He (WSDM, 2024)

GeoGalactica: A Scientific Large Language Model in Geoscience. - Zhouhan Lin; Cheng Deng; Le Zhou; Tianhang Zhang; Yi Xu 004; Yutong Xu; Zhongmou He; Yuanyuan Shi; Beiya Dai; Yunchong Song; Boyi Zeng; Qiyuan Chen 002; et al. (CoRR, 2024)

Critical Data Size of Language Models from a Grokking Perspective. - Xuekai Zhu; Yao Fu; Bowen Zhou 002; Zhouhan Lin (CoRR, 2024)

Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion. - Dingyi Rong; Wenzhuo Zheng; Bozitao Zhong; Zhouhan Lin; Liang Hong; Ning Liu (CoRR, 2024)

How to Synthesize Text Data without Model Collapse? - Xuekai Zhu; Daixuan Cheng; Hengli Li; Kaiyan Zhang; Ermo Hua; Xingtai Lv; Ning Ding 002; Zhouhan Lin; Zilong Zheng; Bowen Zhou 002 (CoRR, 2024)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang; Jingwen Leng; Minyi Guo; Zhouhan Lin (ACL (1), 2025)

Efficient Long Document Ranking via Adaptive Token Pruning with Query-Document Alignment. - Beiya Dai; Meilin Chen; Peng Yu; Xinbing Wang; Chenghu Zhou; Zhouhan Lin (ICASSP, 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 001 (ICLR, 2025)

DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility. - Yifan Liu; Yu Fang; Zhouhan Lin (NAACL (Findings), 2025)

Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. - Yedan Shen; Kaixin Wu; Yuechen Ding; Jingyuan Wen; Hong Liu; Mingjie Zhong; Zhouhan Lin; Jia Xu 013; Linjian Mo (SIGIR, 2025)

Efficient Packaging Line Object Counting by Cross-Frame Association With Wavelet Convolutions and Trajectory Compensation. - Longxuan Wei; Yutao Zhu 008; Yufeng Li; Ming Qian; Xiang Zuo; Boan Chen; Shiyu Liang; Zhouhan Lin; Junchi Yan (IEEE Access, 2025)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002; Jingwen Leng; Minyi Guo; Zhouhan Lin (CoRR, 2025)

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. - Yuliang Liu; Junjie Lu; Zhaoling Chen; Chaofeng Qu; Jason Klein Liu; Chonghan Liu; Zefan Cai; Yunhui Xia; Li Zhao; Jiang Bian; Chuheng Zhang; Wei Shen; et al. (CoRR, 2025)

FreqKV: Frequency Domain Key-Value Compression for Efficient Context Window Extension. - Jushi Kai; Boyi Zeng; Yixuan Wang; Haoli Bai; Ziwei He; Bo Jiang; Zhouhan Lin (CoRR, 2025)

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 (CoRR, 2025)

MuteSwap: Visual-informed Silent Video Identity Conversion. - Yifan Liu; Yu Fang; Zhouhan Lin (CoRR, 2025)

Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling. - Ning Liao; Xiaoxing Wang; Zehao Lin; Weiyang Guo; Feng Hong 004; Shixiang Song; Geng Yu; Zihua Zhao; Sitao Xie; Longxuan Wei; Xiangqi Jin; Xiaohan Qin; et al. (CoRR, 2025)

MLP Memory: Language Modeling with Retriever-pretrained External Memory. - Rubin Wei; Jiaqi Cao; Jiarui Wang; Jushi Kai; Qipeng Guo; Bowen Zhou; Zhouhan Lin (CoRR, 2025)

Fourier-VLM: Compressing Vision Tokens in the Frequency Domain for Large Vision-Language Models. - Huanyu Wang; Jushi Kai; Haoli Bai; Lu Hou; Bo Jiang; Ziwei He; Zhouhan Lin (CoRR, 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 (CoRR, 2025)