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ORCIDWenye Li 0001
Person information
- affiliation: Chinese University of Hong Kong, School of Science and Engineering, Shenzhen, China
- affiliation: Shenzhen Research Institute of Big Data, China
- affiliation (2009 - 2016): Macao Polytechnic Institute, School of Public Administration, Macao
- affiliation (2007 - 2009): University of Alberta, Department of Computing Science, Edmonton, AB, Canada
- affiliation (PhD 2007): Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Wenye Li 0002 — Fudan University, Shanghai, China
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2020 – today
- 2024
[c47]Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li:
DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. WACV 2024: 654-663- 2023
- [c46]Wenye Li, Fangchen Yu
, Zichen Ma:
Metric Nearness Made Practical. AAAI 2023: 8648-8656 - [c45]Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He:
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. ACL (Findings) 2023: 520-534 - [c44]Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li:
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. ECAI 2023: 2914-2921 - [c43]Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li:
From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. ICONIP (11) 2023: 101-112 - [c42]Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li:
Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. NeurIPS 2023 - [c41]Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li:
Online estimation of similarity matrices with incomplete data. UAI 2023: 2454-2464 - 2022
- [c40]Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui:
Asynchronous Personalized Federated Learning with Irregular Clients. ACML 2022: 706-721 - [c39]Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui:
EFL: Elastic Federated Learning on Non-IID Data. CoLLAs 2022: 92-115 - [c38]Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui:
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. AACL/IJCNLP (2) 2022: 302-310 - [c37]Wenye Li, Fangchen Yu:
Calibrating Distance Metrics Under Uncertainty. ECML/PKDD (3) 2022: 219-234 - [c36]Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui:
Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning. ECML/PKDD (4) 2022: 572-586 - [i10]Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui:
CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. CoRR abs/2210.05146 (2022) - [i9]Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He:
MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. CoRR abs/2211.05503 (2022) - 2021
- [c35]Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui:
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. ACML 2021: 1253-1268 - [c34]Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li:
Learning Sparse Binary Code for Maximum Inner Product Search. CIKM 2021: 3308-3312 - [i8]Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, Jinfeng Yi, Shuguang Cui:
Towards Heterogeneous Clients with Elastic Federated Learning. CoRR abs/2106.09433 (2021) - [i7]Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui:
Federated Two-stage Learning with Sign-based Voting. CoRR abs/2112.05687 (2021) - 2020
- [c33]Wenye Li:
Scalable Calibration of Affinity Matrices from Incomplete Observations. ACML 2020: 753-768 - [c32]Changyi Ma, Wenye Li:
Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm. ICMLC 2020: 171-176 - [c31]Changyi Ma, Boyun Tan, Wenye Li:
Functional Regions Discovery and Evaluation using Spatial and Semantic Data. ICMLC 2020: 202-207 - [c30]Senyue Hao, Wenye Li:
Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. ICONIP (4) 2020: 717-725 - [c29]Wenye Li:
Modeling Winner-Take-All Competition in Sparse Binary Projections. ECML/PKDD (1) 2020: 456-472 - [c28]Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui:
Large-scale Image Retrieval with Sparse Binary Projections. SIGIR 2020: 1817-1820 - [i6]Wenye Li, Shuzhong Zhang:
Binary Random Projections with Controllable Sparsity Patterns. CoRR abs/2006.16180 (2020)
2010 – 2019
- 2019
- [c27]Han Li, Chonglin Gu, Yi Chen, Wenye Li:
An Efficient, Secure and Reliable Search Scheme for Dynamic Updates with Blockchain. ICCNS 2019: 51-57 - [c26]Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li:
An Augmented Transformer Architecture for Natural Language Generation Tasks. ICDM Workshops 2019: 1-7 - [c25]Yueyao Yu, Pengfei Yu, Wenye Li:
AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. IJCNN 2019: 1-8 - [c24]Chonglin Gu, Wenye Li, Cong Shen, Shuguang Cui:
GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs. ISCC 2019: 1-6 - [c23]Chonglin Gu, Yi Chen, Wenye Li, Chunyan Liu:
To Shift Tasks or To Shift Energy by ESDs? An Economical Scheduling for Cloud Data Center. ISPA/BDCloud/SocialCom/SustainCom 2019: 84-91 - [c22]Changyi Ma, Wenye Li:
Discovering Functional Regions in Modern Cities by Using User Check-in Records and POIs. ROBIO 2019: 509-514 - [i5]Yueyao Yu, Pengfei Yu, Wenye Li:
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks. CoRR abs/1902.06415 (2019) - [i4]Wenye Li:
Modeling Winner-Take-All Competition in Sparse Binary Projections. CoRR abs/1907.11959 (2019) - [i3]Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li:
An Augmented Transformer Architecture for Natural Language Generation Tasks. CoRR abs/1910.13634 (2019) - [i2]Wenye Li, Senyue Hao:
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. CoRR abs/1911.01625 (2019) - 2018
- [c21]Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui:
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. IJCAI 2018: 4187-4193 - [c20]Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui:
Fast Similarity Search via Optimal Sparse Lifting. NeurIPS 2018: 176-184 - [i1]Wenye Li:
Network Community Detection with A Successive Spectral Relaxation Method. CoRR abs/1802.01288 (2018) - 2015
- [j4]Wenye Li:
Highlighting data clusters by graph embedding. Neurocomputing 165: 75-80 (2015) - [j3]Wenye Li:
Visualizing network communities with a semi-definite programming method. Inf. Sci. 321: 1-13 (2015) - [c19]Wenye Li:
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. NIPS 2015: 2620-2628 - 2014
- [c18]Jiaqi Tan, Wenye Li, Haoming Li:
Automated text categorization by generalized kernel machines. ICIA 2014: 376-381 - [c17]Haoming Li, Wenye Li, Jiaqi Tan:
Modularity-based community detection in large networks: An empirical evaluation. ICIA 2014: 1131-1136 - [c16]Wenye Li:
A Unified Framework for Privacy Preserving Data Clustering. ICONIP (1) 2014: 319-326 - [c15]Wenye Li:
Privacy Preserving Clustering: A k-Means Type Extension. ICONIP (2) 2014: 319-326 - [c14]Wenye Li:
Gaussian Process Learning: A Divide-and-Conquer Approach. ISNN 2014: 262-269 - [c13]Wenye Li:
Early-Stopping Regularized Least-Squares Classification. ISNN 2014: 278-285 - 2013
- [j2]Wenye Li:
Revealing network communities with a nonlinear programming method. Inf. Sci. 229: 18-28 (2013) - [c12]Zhao Liang, Wenye Li, Yuxi Li:
A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform. ICIA 2013: 1017-1022 - [c11]Wenye Li:
Modularity Embedding. ICONIP (2) 2013: 92-99 - [c10]Wenye Li:
Modularity Segmentation. ICONIP (2) 2013: 100-107 - 2012
- [c9]Wenye Li:
Clustering with Uncertainties: An Affinity Propagation-Based Approach. ICONIP (5) 2012: 437-446 - [c8]Wenye Li:
r-Anonymized Clustering. ICONIP (1) 2012: 455-464 - 2011
- [c7]Yu Wang, Wenye Li, Yan Sun:
Wireless sensor network cluster locations: A probabilistic inference approach. ICAL 2011: 76-80 - [c6]Wenye Li, Dale Schuurmans:
Modular Community Detection in Networks. IJCAI 2011: 1366-1371
2000 – 2009
- 2009
- [c5]Linli Xu, Wenye Li, Dale Schuurmans:
Fast normalized cut with linear constraints. CVPR 2009: 2866-2873 - 2008
- [j1]Zhenyuan Wang, Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
Lower integrals and upper integrals with respect to nonadditive set functions. Fuzzy Sets Syst. 159(6): 646-660 (2008) - 2007
- [b1]Wenye Li:
Generalized regularized learning. Chinese University of Hong Kong, Hong Kong, 2007 - [c4]Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
Large-scale RLSC learning without agony. ICML 2007: 529-536 - [c3]Wenye Li, Kwong-Sak Leung, Kin-Hong Lee:
Generalizing the Bias Term of Support Vector Machines. IJCAI 2007: 919-924 - 2006
- [c2]Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
Clustering with a Semantic Criterion Based on Dimensionality Analysis. ICONIP (2) 2006: 796-805 - [c1]Wenye Li, Kin-Hong Lee, Kwong-Sak Leung:
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. NIPS 2006: 881-888
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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