Clustering with a Semantic Criterion Based on Dimensionality Analysis. - Wenye Li 001; Kin-Hong Lee; Kwong-Sak Leung (ICONIP (2), 2006)

Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. - Wenye Li 001; Kin-Hong Lee; Kwong-Sak Leung (NIPS, 2006)

Large-scale RLSC learning without agony. - Wenye Li 001; Kin-Hong Lee; Kwong-Sak Leung (ICML, 2007)

Generalizing the Bias Term of Support Vector Machines. - Wenye Li 001; Kwong-Sak Leung; Kin-Hong Lee (IJCAI, 2007)

Generalized regularized learning. - Wenye Li 001 (2007)

Lower integrals and upper integrals with respect to nonadditive set functions. - Zhenyuan Wang; Wenye Li 001; Kin-Hong Lee; Kwong-Sak Leung (Fuzzy Sets Syst., 2008)

Fast normalized cut with linear constraints. - Linli Xu; Wenye Li 001; Dale Schuurmans (CVPR, 2009)

Wireless sensor network cluster locations: A probabilistic inference approach. - Yu Wang; Wenye Li 001; Yan Sun 005 (ICAL, 2011)

Modular Community Detection in Networks. - Wenye Li 001; Dale Schuurmans (IJCAI, 2011)

r-Anonymized Clustering. - Wenye Li 001 (ICONIP (1), 2012)

Clustering with Uncertainties: An Affinity Propagation-Based Approach. - Wenye Li 001 (ICONIP (5), 2012)

A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform. - Zhao Liang; Wenye Li 001; Yuxi Li (ICIA, 2013)

Modularity Embedding. - Wenye Li 001 (ICONIP (2), 2013)

Modularity Segmentation. - Wenye Li 001 (ICONIP (2), 2013)

Revealing network communities with a nonlinear programming method. - Wenye Li 001 (Inf. Sci., 2013)

Modularity-based community detection in large networks: An empirical evaluation. - Haoming Li 007; Wenye Li 001; Jiaqi Tan 003 (ICIA, 2014)

Automated text categorization by generalized kernel machines. - Jiaqi Tan 003; Wenye Li 001; Haoming Li 007 (ICIA, 2014)

A Unified Framework for Privacy Preserving Data Clustering. - Wenye Li 001 (ICONIP (1), 2014)

Privacy Preserving Clustering: A k-Means Type Extension. - Wenye Li 001 (ICONIP (2), 2014)

Gaussian Process Learning: A Divide-and-Conquer Approach. - Wenye Li 001 (ISNN, 2014)

Early-Stopping Regularized Least-Squares Classification. - Wenye Li 001 (ISNN, 2014)

Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. - Wenye Li 001 (NIPS, 2015)

Highlighting data clusters by graph embedding. - Wenye Li 001 (Neurocomputing, 2015)

Visualizing network communities with a semi-definite programming method. - Wenye Li 001 (Inf. Sci., 2015)

Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. - Wenye Li 001; Jiawei Zhang; Jianjun Zhou; Laizhong Cui (IJCAI, 2018)

Fast Similarity Search via Optimal Sparse Lifting. - Wenye Li 001; Jingwei Mao; Yin Zhang; Shuguang Cui (NeurIPS, 2018)

Network Community Detection with A Successive Spectral Relaxation Method. - Wenye Li 001 (CoRR, 2018)

An Efficient, Secure and Reliable Search Scheme for Dynamic Updates with Blockchain. - Han Li; Chonglin Gu; Yi Chen 013; Wenye Li 001 (ICCNS, 2019)

An Augmented Transformer Architecture for Natural Language Generation Tasks. - Hailiang Li; Adele Y. C. Wang; Yang Liu; Du Tang; Zhibin Lei; Wenye Li 001 (ICDM Workshops, 2019)

AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. - Yueyao Yu; Pengfei Yu; Wenye Li 001 (IJCNN, 2019)

GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs. - Chonglin Gu; Wenye Li 001; Cong Shen; Shuguang Cui (ISCC, 2019)

To Shift Tasks or To Shift Energy by ESDs? An Economical Scheduling for Cloud Data Center. - Chonglin Gu; Yi Chen 013; Wenye Li 001; Chunyan Liu (ISPA/BDCloud/SocialCom/SustainCom, 2019)

Discovering Functional Regions in Modern Cities by Using User Check-in Records and POIs. - Changyi Ma; Wenye Li 001 (ROBIO, 2019)

AuxBlocks: Defense Adversarial Example via Auxiliary Blocks. - Yueyao Yu; Pengfei Yu; Wenye Li 001 (CoRR, 2019)

Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. - Wenye Li 001; Senyue Hao (CoRR, 2019)

Scalable Calibration of Affinity Matrices from Incomplete Observations. - Wenye Li 001 (ACML, 2020)

Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm. - Changyi Ma; Wenye Li 001 (ICMLC, 2020)

Functional Regions Discovery and Evaluation using Spatial and Semantic Data. - Changyi Ma; Boyun Tan; Wenye Li 001 (ICMLC, 2020)

Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. - Senyue Hao; Wenye Li 001 (ICONIP (4), 2020)

Modeling Winner-Take-All Competition in Sparse Binary Projections. - Wenye Li 001 (ECML/PKDD (1), 2020)

Large-scale Image Retrieval with Sparse Binary Projections. - Changyi Ma; Chonglin Gu; Wenye Li 001; Shuguang Cui (SIGIR, 2020)

Binary Random Projections with Controllable Sparsity Patterns. - Wenye Li 001; Shuzhong Zhang (CoRR, 2020)

PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. - Zichen Ma; Yu Lu; Wenye Li 001; Jinfeng Yi; Shuguang Cui (ACML, 2021)

Learning Sparse Binary Code for Maximum Inner Product Search. - Changyi Ma; Fangchen Yu; Yueyao Yu; Wenye Li 001 (CIKM, 2021)

Evaluation of Sparse Binary Word Vectors in Chinese-English Machine Translations. - Changyi Ma; Wenye Li 001 (ISCMI, 2021)

Towards Heterogeneous Clients with Elastic Federated Learning. - Zichen Ma; Yu Lu; Zihan Lu; Wenye Li 001; Jinfeng Yi; Shuguang Cui (CoRR, 2021)

Federated Two-stage Learning with Sign-based Voting. - Zichen Ma; Zihan Lu; Yu Lu; Wenye Li 001; Jinfeng Yi; Shuguang Cui (CoRR, 2021)

Asynchronous Personalized Federated Learning with Irregular Clients. - Zichen Ma; Yu Lu; Wenye Li 001; Shuguang Cui (ACML, 2022)

EFL: Elastic Federated Learning on Non-IID Data. - Zichen Ma; Yu Lu; Wenye Li 001; Shuguang Cui (CoLLAs, 2022)

CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. - Haoning Zhang; Junwei Bao 001; Haipeng Sun; Huaishao Luo; Wenye Li 001; Shuguang Cui (AACL/IJCNLP (2), 2022)

Calibrating Distance Metrics Under Uncertainty. - Wenye Li 001; Fangchen Yu (ECML/PKDD (3), 2022)

Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning. - Zichen Ma; Yu Lu; Wenye Li 001; Shuguang Cui (ECML/PKDD (4), 2022)

Metric Nearness Made Practical. - Wenye Li 001; Fangchen Yu; Zichen Ma (AAAI, 2023)

MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. - Haoning Zhang; Junwei Bao 001; Haipeng Sun; Youzheng Wu; Wenye Li 001; Shuguang Cui; Xiaodong He 001 (ACL (Findings), 2023)

Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. - Fangchen Yu; Rui Bao; Jianfeng Mao; Wenye Li 001 (ECAI, 2023)

From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. - Fangchen Yu; Zhan Shi; Yuqi Ma; Jianfeng Mao; Wenye Li 001 (ICONIP (11), 2023)

Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. - Fangchen Yu; Runze Zhao; Zhan Shi; Yiwen Lu; Jicong Fan 001; Yicheng Zeng; Jianfeng Mao; Wenye Li 001 (NeurIPS, 2023)

Online estimation of similarity matrices with incomplete data. - Fangchen Yu; Yicheng Zeng; Jianfeng Mao; Wenye Li 001 (UAI, 2023)

DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. - Fangchen Yu; Yina Xie; Lei Wu; Yafei Wen; Guozhi Wang; Shuai Ren; Xiaoxin Chen 001; Jianfeng Mao; Wenye Li 001 (WACV, 2024)

A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. - Fangchen Yu; Yicheng Zeng; Jianfeng Mao; Wenye Li 001 (WWW, 2025)

KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. - Fangchen Yu; Ruilizhen Hu; Yidong Lin; Yuqi Ma; Zhenghao Huang; Wenye Li 001 (CoRR, 2025)