Wenye Li

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 40

Top Venues

Chinese University of Hong Kong, Hong Kong (PHD)

Education History

Chinese University of Hong Kong, Hong Kong

PHD

Publications

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)
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)
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)
Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li
Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. ECAI (2023)
Wenye Li, Fangchen Yu, Zichen Ma
Metric Nearness Made Practical. AAAI (2023)
Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li
Online estimation of similarity matrices with incomplete data. UAI (2023)
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)
Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
EFL: Elastic Federated Learning on Non-IID Data. CoLLAs (2022)
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 (2022)
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)
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 (2022)
Xinyu Chen, Renjie Li, Yueyao Yu, Yuanwen Shen, Wenye Li, Zhaoyu Zhang, Yin Zhang
POViT: Vision Transformer for Multi-objective Design and Characterization of Nanophotonic Devices. CoRR (2022)
Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
Asynchronous Personalized Federated Learning with Irregular Clients. ACML (2022)
Wenye Li, Fangchen Yu
Calibrating Distance Metrics Under Uncertainty. ECML/PKDD (3) (2022)
Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
Personalizing or Not: Dynamically Personalized Federated Learning with Incentives. CoRR (2022)
Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning. ECML/PKDD (4) (2022)
Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
Federated Two-stage Learning with Sign-based Voting. CoRR (2021)
Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li
Learning Sparse Binary Code for Maximum Inner Product Search. CIKM (2021)
Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
Towards Heterogeneous Clients with Elastic Federated Learning. CoRR (2021)
Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. ACML (2021)
Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui
Large-scale Image Retrieval with Sparse Binary Projections. SIGIR (2020)
Wenye Li
Modeling Winner-Take-All Competition in Sparse Binary Projections. ECML/PKDD (1) (2020)
Senyue Hao, Wenye Li
Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. ICONIP (4) (2020)
Wenye Li, Shuzhong Zhang
Binary Random Projections with Controllable Sparsity Patterns. CoRR (2020)
Wenye Li
Scalable Calibration of Affinity Matrices from Incomplete Observations. ACML (2020)
Changyi Ma, Wenye Li
Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm. ICMLC (2020)
Changyi Ma, Boyun Tan, Wenye Li
Functional Regions Discovery and Evaluation using Spatial and Semantic Data. ICMLC (2020)
Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li
An Augmented Transformer Architecture for Natural Language Generation Tasks. CoRR (2019)
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)
Yueyao Yu, Pengfei Yu, Wenye Li
AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. IJCNN (2019)
Wenye Li
Modeling Winner-Take-All Competition in Sparse Binary Projections. CoRR (2019)
Changyi Ma, Wenye Li
Discovering Functional Regions in Modern Cities by Using User Check-in Records and POIs. ROBIO (2019)
Yueyao Yu, Pengfei Yu, Wenye Li
AuxBlocks: Defense Adversarial Example via Auxiliary Blocks. CoRR (2019)
Han Li, Chonglin Gu, Yi Chen, Wenye Li
An Efficient, Secure and Reliable Search Scheme for Dynamic Updates with Blockchain. ICCNS (2019)
Wenye Li, Senyue Hao
Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. CoRR (2019)
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)
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)
Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. IJCAI (2018)
Wenye Li
Network Community Detection with A Successive Spectral Relaxation Method. CoRR (2018)
Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui
Fast Similarity Search via Optimal Sparse Lifting. NeurIPS (2018)
Wenye Li
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. NIPS (2015)
Wenye Li
Highlighting data clusters by graph embedding. Neurocomputing 165 (2015)
Wenye Li
Visualizing network communities with a semi-definite programming method. Inf. Sci. 321 (2015)
Jiaqi Tan, Wenye Li, Haoming Li
Automated text categorization by generalized kernel machines. ICIA (2014)
Wenye Li
Gaussian Process Learning: A Divide-and-Conquer Approach. ISNN (2014)
Wenye Li
Early-Stopping Regularized Least-Squares Classification. ISNN (2014)
Wenye Li
Privacy Preserving Clustering: A k-Means Type Extension. ICONIP (2) (2014)
Haoming Li, Wenye Li, Jiaqi Tan
Modularity-based community detection in large networks: An empirical evaluation. ICIA (2014)
Wenye Li
A Unified Framework for Privacy Preserving Data Clustering. ICONIP (1) (2014)
Wenye Li
Modularity Segmentation. ICONIP (2) (2013)
Wenye Li
Revealing network communities with a nonlinear programming method. Inf. Sci. 229 (2013)
Wenye Li
Modularity Embedding. ICONIP (2) (2013)
Zhao Liang, Wenye Li, Yuxi Li
A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform. ICIA (2013)
Wenye Li
r-Anonymized Clustering. ICONIP (1) (2012)
Wenye Li
Clustering with Uncertainties: An Affinity Propagation-Based Approach. ICONIP (5) (2012)
Yu Wang, Wenye Li, Yan Sun
Wireless sensor network cluster locations: A probabilistic inference approach. ICAL (2011)
Wenye Li, Dale Schuurmans
Modular Community Detection in Networks. IJCAI (2011)
Linli Xu, Wenye Li, Dale Schuurmans
Fast normalized cut with linear constraints. CVPR (2009)
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) (2008)
Wenye Li, Kwong-Sak Leung, Kin-Hong Lee
Generalizing the Bias Term of Support Vector Machines. IJCAI (2007)
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
Large-scale RLSC learning without agony. ICML (2007)
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
Clustering with a Semantic Criterion Based on Dimensionality Analysis. ICONIP (2) (2006)
Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. NIPS (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wenye Li