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2020 – today
- 2024
[c44]Yunchong Song
, Siyuan Huang, Jiacheng Cai, Xinbing Wang, Chenghu Zhou, Zhouhan Lin:
Breaking the Bottleneck on Graphs with Structured State Spaces. CIKM 2024: 2138-2147- [c43]Chang Su, Jiexing Qi, He Yan, Kai Zou, Zhouhan Lin:
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training. CIKM 2024: 4061-4065 - [c42]Yusheng Huang, Ning Hu, Kunping Li, Nan Wang, Zhouhan Lin:
Extracting Financial Events from Raw Texts via Matrix Chunking. LREC/COLING 2024: 7035-7044 - [c41]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. EMNLP (Findings) 2024: 2408-2420 - [c40]Jushi Kai, Shengyuan Hou, Yusheng Huang, Zhouhan Lin:
Leveraging Grammar Induction for Language Understanding and Generation. EMNLP (Findings) 2024: 4501-4513 - [c39]Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin:
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. EMNLP (Findings) 2024: 4514-4530 - [c38]Pan Liu, Xiaohua Tian, Zhouhan Lin:
Enable Fast Sampling for Seq2Seq Text Diffusion. EMNLP (Findings) 2024: 8495-8505 - [c37]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: 9951-9955 - [c36]Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin:
Graph Parsing Networks. ICLR 2024 - [c35]Pan Liu, Jianping Zhou, Xiaohua Tian, Zhouhan Lin:
SWave: Improving Vocoder Efficiency by Straightening the Waveform Generation Path. ICPR (6) 2024: 397-408 - [c34]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: 2571-2597 - [c33]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: 161-170 - [i47]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 abs/2401.00434 (2024) - [i46]Jushi Kai, Tianhang Zhang, Hai Hu, Zhouhan Lin:
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully. CoRR abs/2401.05930 (2024) - [i45]Xuekai Zhu, Yao Fu, Bowen Zhou, Zhouhan Lin:
Critical Data Size of Language Models from a Grokking Perspective. CoRR abs/2401.10463 (2024) - [i44]Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin:
Graph Parsing Networks. CoRR abs/2402.14393 (2024) - [i43]Dingyi Rong, Wenzhuo Zheng, Bozitao Zhong, Zhouhan Lin, Liang Hong, Ning Liu:
Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion. CoRR abs/2408.06391 (2024) - [i42]Jushi Kai, Shengyuan Hou, Yusheng Huang, Zhouhan Lin:
Leveraging Grammar Induction for Language Understanding and Generation. CoRR abs/2410.04878 (2024) - [i41]Chang Su, Jiexing Qi, He Yan, Kai Zou, Zhouhan Lin:
Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training. CoRR abs/2410.05731 (2024) - [i40]Yihuai Xu, Yongwei Wang, Yifei Bi, Huangsen Cao, Zhouhan Lin, Yu Zhao, Fei Wu:
Training-free LLM-generated Text Detection by Mining Token Probability Sequences. CoRR abs/2410.06072 (2024) - [i39]Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin:
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention. CoRR abs/2410.06746 (2024) - [i38]Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin:
Mirror-Consistency: Harnessing Inconsistency in Majority Voting. CoRR abs/2410.10857 (2024) - 2023
- [c32]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: 5130-5144 - [c31]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: 8954-8966 - [c30]Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin:
Asymmetric Polynomial Loss for Multi-Label Classification. ICASSP 2023: 1-5 - [c29]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: 1-5 - [c28]Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin:
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. ICLR 2023 - [c27]Yusheng Huang, Zhouhan Lin:
Document-Level Relation Extraction with Relation Correlation Enhancement. ICONIP (13) 2023: 427-440 - [c26]Yusheng Huang, Zhouhan Lin:
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction. MMAsia 2023: 28:1 - [c25]Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin:
Tailoring Self-Attention for Graph via Rooted Subtrees. NeurIPS 2023 - [i37]Yunchong Song, Chenghu Zhou, Xinbing Wang, Zhouhan Lin:
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing. CoRR abs/2302.01524 (2023) - [i36]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 abs/2302.09509 (2023) - [i35]Zhixin Guo, Mingxuan Yan, Jiexing Qi, Jianping Zhou, Ziwei He, Zhouhan Lin, Guanjie Zheng, Xinbing Wang:
Few-Shot Table-to-Text Generation with Prompt-based Adapter. CoRR abs/2302.12468 (2023) - [i34]Yusheng Huang, Jiexing Qi, Xinbing Wang, Zhouhan Lin:
Asymmetric Polynomial Loss For Multi-Label Classification. CoRR abs/2304.05361 (2023) - [i33]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 abs/2305.15099 (2023) - [i32]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 abs/2306.05064 (2023) - [i31]Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin:
Tailoring Self-Attention for Graph via Rooted Subtrees. CoRR abs/2310.05296 (2023) - [i30]Yusheng Huang, Zhouhan Lin:
I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction. CoRR abs/2310.06326 (2023) - [i29]Yusheng Huang, Zhouhan Lin:
Document-Level Relation Extraction with Relation Correlation Enhancement. CoRR abs/2310.13000 (2023) - [i28]Boyi Zeng, Chenghu Zhou, Xinbing Wang, Zhouhan Lin:
HuRef: HUman-REadable Fingerprint for Large Language Models. CoRR abs/2312.04828 (2023) - [i27]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 abs/2312.05402 (2023) - 2022
- [c24]Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo:
Block-Skim: Efficient Question Answering for Transformer. AAAI 2022: 10710-10719 - [c23]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: 4491-4503 - [c22]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo:
Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) 2022: 7275-7286 - [c21]Ning Shi, Boxin Wang, Wei Wang, Xiangyu Liu, Zhouhan Lin:
Revisit Systematic Generalization via Meaningful Learning. BlackboxNLP@EMNLP 2022: 62-79 - [c20]Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin:
Text Editing as Imitation Game. EMNLP (Findings) 2022: 1583-1594 - [c19]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: 2334-2341 - [c18]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: 3215-3229 - [i26]Xichen Pan, Peiyu Chen, Yichen Gong, Helong Zhou, Xinbing Wang, Zhouhan Lin:
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition. CoRR abs/2203.07996 (2022) - [i25]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 abs/2205.06983 (2022) - [i24]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo:
Transkimmer: Transformer Learns to Layer-wise Skim. CoRR abs/2205.07324 (2022) - [i23]Yi Xu, Luoyi Fu, Zhouhan Lin, Jiexing Qi, Xinbing Wang:
INFINITY: A Simple Yet Effective Unsupervised Framework for Graph-Text Mutual Conversion. CoRR abs/2209.10754 (2022) - [i22]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 abs/2210.11759 (2022) - [i21]Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin:
Text Editing as Imitation Game. CoRR abs/2210.12276 (2022) - 2021
- [j4]Xin He, Yushi Chen, Zhouhan Lin:
Spatial-Spectral Transformer for Hyperspectral Image Classification. Remote. Sens. 13(3): 498 (2021) - [c17]Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin:
Incorporating External POS Tagger for Punctuation Restoration. Interspeech 2021: 1987-1991 - [c16]Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Annotation Inconsistency and Entity Bias in MultiWOZ. SIGDIAL 2021: 326-337 - [i20]Kun Qian, Ahmad Beirami, Zhouhan Lin, Ankita De, Alborz Geramifard, Zhou Yu, Chinnadhurai Sankar:
Annotation Inconsistency and Entity Bias in MultiWOZ. CoRR abs/2105.14150 (2021) - [i19]Ning Shi, Wei Wang, Boxin Wang, Jinfeng Li, Xiangyu Liu, Zhouhan Lin:
Incorporating External POS Tagger for Punctuation Restoration. CoRR abs/2106.06731 (2021) - [i18]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu:
Block-Skim: Efficient Question Answering for Transformer. CoRR abs/2112.08560 (2021) - 2020
- [c15]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: 6611-6628 - [i17]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 abs/2005.05864 (2020) - [i16]Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li:
Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR abs/2012.02975 (2020)
2010 – 2019
- 2019
- [c14]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: 2796-2813 - [c13]Yikang Shen, Shawn Tan, Seyed Arian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. NeurIPS 2019: 5038-5049 - [i15]Xingdi Yuan, Marc-Alexandre Côté, Jie Fu, Zhouhan Lin, Christopher J. Pal, Yoshua Bengio, Adam Trischler:
Interactive Language Learning by Question Answering. CoRR abs/1908.10909 (2019) - [i14]Yikang Shen, Shawn Tan, Seyedarian Hosseini, Zhouhan Lin, Alessandro Sordoni, Aaron C. Courville:
Ordered Memory. CoRR abs/1910.13466 (2019) - 2018
- [c12]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: 1171-1180 - [c11]Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville:
Neural Language Modeling by Jointly Learning Syntax and Lexicon. ICLR (Poster) 2018 - [c10]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: 2559-2568 - [c9]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: 154-158 - [i13]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 abs/1801.06700 (2018) - [i12]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 abs/1806.04168 (2018) - [i11]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 abs/1806.04342 (2018) - 2017
- [c8]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 - [i10]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-attentive Sentence Embedding. CoRR abs/1703.03130 (2017) - [i9]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 abs/1709.02349 (2017) - [i8]Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron C. Courville:
Neural Language Modeling by Jointly Learning Syntax and Lexicon. CoRR abs/1711.02013 (2017) - 2016
- [c7]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. NIPS 2016: 1822-1830 - [c6]Zhouhan Lin, Matthieu Courbariaux, Roland Memisevic, Yoshua Bengio:
Neural Networks with Few Multiplications. ICLR 2016 - [i7]Saizheng Zhang, Yuhuai Wu, Tong Che, Zhouhan Lin, Roland Memisevic, Ruslan Salakhutdinov, Yoshua Bengio:
Architectural Complexity Measures of Recurrent Neural Networks. CoRR abs/1602.08210 (2016) - [i6]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 abs/1605.02688 (2016) - [i5]Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio:
Recurrent Neural Networks With Limited Numerical Precision. CoRR abs/1608.06902 (2016) - [i4]Joachim Ott, Zhouhan Lin, Ying Zhang, Shih-Chii Liu, Yoshua Bengio:
Recurrent Neural Networks With Limited Numerical Precision. CoRR abs/1611.07065 (2016) - 2015
- [i3]Yoshua Bengio, Dong-Hyun Lee, Jörg Bornschein, Zhouhan Lin:
Towards Biologically Plausible Deep Learning. CoRR abs/1502.04156 (2015) - [i2]Zhouhan Lin, Roland Memisevic, Kishore Reddy Konda:
How far can we go without convolution: Improving fully-connected networks. CoRR abs/1511.02580 (2015) - [i1]Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang:
Spectral-Spatial Classification of Hyperspectral Image Using Autoencoders. CoRR abs/1511.02916 (2015) - 2014
- [j3]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): 1295-1305 (2014) - [j2]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): 2094-2107 (2014) - [c5]Yushi Chen, Xing Zhao, Zhouhan Lin:
Joint Adaboost and multifeature based ensemble for hyperspectral image classification. IGARSS 2014: 2874-2877 - 2013
- [j1]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): 1172-1178 (2013) - [c4]Zhouhan Lin, Yushi Chen, Xing Zhao, Gang Wang:
Spectral-spatial classification of hyperspectral image using autoencoders. ICICS 2013: 1-5 - [c3]Yushi Chen, Zhouhan Lin, Xing Zhao:
Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification. IGARSS 2013: 1975-1978 - [c2]Yushi Chen, Changbo Qu, Zhouhan Lin:
Supervised Locally Linear Embedding based dimension reduction for hyperspectral image classification. IGARSS 2013: 3578-3581 - 2012
- [c1]Haicheng Qu, Junping Zhang, Yushi Chen, Hao Chen, Zhouhan Lin:
Parallel implementation for SAM algorithm based on GPU and distributed computing. IGARSS 2012: 4074-4077
Coauthor Index