Wenye Li - RankMe

66 papers A* 11A 4B 1C 6Misc 2Journal 15Unranked 26

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Theory-Driven Approach to Inner Product Matrix Estimation for Incomplete Data: An Eigenvalue Perspective. WWW Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li
2025	J	`jnl`	KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning. CoRR Fangchen Yu, Ruilizhen Hu, Yidong Lin, Yuqi Ma, Zhenghao Huang, Wenye Li
2025	A*	`conf`	UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance. ICML Fangchen Yu, Yanzhen Chen, Jiaxing Wei, Jianfeng Mao, Wenye Li, Qiang Sun
2024	A	`conf`	DocReal: Robust Document Dewarping of Real-Life Images via Attention-Enhanced Control Point Prediction. WACV Fangchen Yu, Yina Xie, Lei Wu, Yafei Wen, Guozhi Wang, Shuai Ren, Xiaoxin Chen, Jianfeng Mao, Wenye Li
2023	A*	`conf`	Boosting Spectral Clustering on Incomplete Data via Kernel Correction and Affinity Learning. NeurIPS Fangchen Yu, Runze Zhao, Zhan Shi, Yiwen Lu, Jicong Fan, Yicheng Zeng, Jianfeng Mao, Wenye Li
2023	—	`conf`	From Incompleteness to Unity: A Framework for Multi-view Clustering with Missing Values. ICONIP (11) Fangchen Yu, Zhan Shi, Yuqi Ma, Jianfeng Mao, Wenye Li
2023	A	`conf`	Highly-Efficient Robinson-Foulds Distance Estimation with Matrix Correction. ECAI Fangchen Yu, Rui Bao, Jianfeng Mao, Wenye Li
2023	A*	`conf`	Metric Nearness Made Practical. AAAI Wenye Li, Fangchen Yu, Zichen Ma
2023	—	`conf`	MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. ACL (Findings) Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He
2023	A	`conf`	Online estimation of similarity matrices with incomplete data. UAI Fangchen Yu, Yicheng Zeng, Jianfeng Mao, Wenye Li
2022	C	`conf`	Asynchronous Personalized Federated Learning with Irregular Clients. ACML Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
2022	—	`conf`	Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning. ECML/PKDD (4) Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
2022	—	`conf`	CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. AACL/IJCNLP (2) Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui
2022	J	`jnl`	CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking. CoRR Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui
2022	—	`conf`	Calibrating Distance Metrics Under Uncertainty. ECML/PKDD (3) Wenye Li, Fangchen Yu
2022	—	`conf`	EFL: Elastic Federated Learning on Non-IID Data. CoLLAs Zichen Ma, Yu Lu, Wenye Li, Shuguang Cui
2022	J	`jnl`	MoNET: Tackle State Momentum via Noise-Enhanced Training for Dialogue State Tracking. CoRR Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He
2021	—	`conf`	Evaluation of Sparse Binary Word Vectors in Chinese-English Machine Translations. ISCMI Changyi Ma, Wenye Li
2021	J	`jnl`	Federated Two-stage Learning with Sign-based Voting. CoRR Zichen Ma, Zihan Lu, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	A	`conf`	Learning Sparse Binary Code for Maximum Inner Product Search. CIKM Changyi Ma, Fangchen Yu, Yueyao Yu, Wenye Li
2021	C	`conf`	PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients. ACML Zichen Ma, Yu Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2021	J	`jnl`	Towards Heterogeneous Clients with Elastic Federated Learning. CoRR Zichen Ma, Yu Lu, Zihan Lu, Wenye Li, Jinfeng Yi, Shuguang Cui
2020	J	`jnl`	Binary Random Projections with Controllable Sparsity Patterns. CoRR Wenye Li, Shuzhong Zhang
2020	Misc	`conf`	Functional Regions Discovery and Evaluation using Spatial and Semantic Data. ICMLC Changyi Ma, Boyun Tan, Wenye Li
2020	A*	`conf`	Large-scale Image Retrieval with Sparse Binary Projections. SIGIR Changyi Ma, Chonglin Gu, Wenye Li, Shuguang Cui
2020	—	`conf`	Modeling Winner-Take-All Competition in Sparse Binary Projections. ECML/PKDD (1) Wenye Li
2020	C	`conf`	Scalable Calibration of Affinity Matrices from Incomplete Observations. ACML Wenye Li
2020	Misc	`conf`	Sparse Binary Optimization for Text Classification via Frank Wolfe Algorithm. ICMLC Changyi Ma, Wenye Li
2020	—	`conf`	Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations. ICONIP (4) Senyue Hao, Wenye Li
2019	—	`conf`	An Augmented Transformer Architecture for Natural Language Generation Tasks. ICDM Workshops Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li
2019	J	`jnl`	An Augmented Transformer Architecture for Natural Language Generation Tasks. CoRR Hailiang Li, Adele Y. C. Wang, Yang Liu, Du Tang, Zhibin Lei, Wenye Li
2019	—	`conf`	An Efficient, Secure and Reliable Search Scheme for Dynamic Updates with Blockchain. ICCNS Han Li, Chonglin Gu, Yi Chen, Wenye Li
2019	J	`jnl`	AuxBlocks: Defense Adversarial Example via Auxiliary Blocks. CoRR Yueyao Yu, Pengfei Yu, Wenye Li
2019	B	`conf`	AuxBlocks: Defense Adversarial Examples via Auxiliary Blocks. IJCNN Yueyao Yu, Pengfei Yu, Wenye Li
2019	—	`conf`	Discovering Functional Regions in Modern Cities by Using User Check-in Records and POIs. ROBIO Changyi Ma, Wenye Li
2019	C	`conf`	GreenFlowing: A Green Way of Reducing Electricity Cost for Cloud Data Center Using Heterogeneous ESDs. ISCC Chonglin Gu, Wenye Li, Cong Shen, Shuguang Cui
2019	J	`jnl`	Modeling Winner-Take-All Competition in Sparse Binary Projections. CoRR Wenye Li
2019	J	`jnl`	Sparse Lifting of Dense Vectors: Unifying Word and Sentence Representations. CoRR Wenye Li, Senyue Hao
2019	—	`conf`	To Shift Tasks or To Shift Energy by ESDs? An Economical Scheduling for Cloud Data Center. ISPA/BDCloud/SocialCom/SustainCom Chonglin Gu, Yi Chen, Wenye Li, Chunyan Liu
2018	A*	`conf`	Fast Similarity Search via Optimal Sparse Lifting. NeurIPS Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui
2018	A*	`conf`	Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. IJCAI Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui
2018	J	`jnl`	Network Community Detection with A Successive Spectral Relaxation Method. CoRR Wenye Li
2015	—	`conf`	Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. NIPS Wenye Li
2015	J	`jnl`	Highlighting data clusters by graph embedding. Neurocomputing Wenye Li
2015	J	`jnl`	Visualizing network communities with a semi-definite programming method. Inf. Sci. Wenye Li
2014	—	`conf`	A Unified Framework for Privacy Preserving Data Clustering. ICONIP (1) Wenye Li
2014	—	`conf`	Automated text categorization by generalized kernel machines. ICIA Jiaqi Tan, Wenye Li, Haoming Li
2014	C	`conf`	Early-Stopping Regularized Least-Squares Classification. ISNN Wenye Li
2014	C	`conf`	Gaussian Process Learning: A Divide-and-Conquer Approach. ISNN Wenye Li
2014	—	`conf`	Modularity-based community detection in large networks: An empirical evaluation. ICIA Haoming Li, Wenye Li, Jiaqi Tan
2014	—	`conf`	Privacy Preserving Clustering: A k-Means Type Extension. ICONIP (2) Wenye Li
2013	—	`conf`	A parallel Probabilistic Latent Semantic Analysis method on MapReduce platform. ICIA Zhao Liang, Wenye Li, Yuxi Li
2013	—	`conf`	Modularity Embedding. ICONIP (2) Wenye Li
2013	—	`conf`	Modularity Segmentation. ICONIP (2) Wenye Li
2013	J	`jnl`	Revealing network communities with a nonlinear programming method. Inf. Sci. Wenye Li
2012	—	`conf`	Clustering with Uncertainties: An Affinity Propagation-Based Approach. ICONIP (5) Wenye Li
2012	—	`conf`	r-Anonymized Clustering. ICONIP (1) Wenye Li
2011	A*	`conf`	Modular Community Detection in Networks. IJCAI Wenye Li, Dale Schuurmans
2011	—	`conf`	Wireless sensor network cluster locations: A probabilistic inference approach. ICAL Yu Wang, Wenye Li, Yan Sun
2009	A*	`conf`	Fast normalized cut with linear constraints. CVPR Linli Xu, Wenye Li, Dale Schuurmans
2008	J	`jnl`	Lower integrals and upper integrals with respect to nonadditive set functions. Fuzzy Sets Syst. Zhenyuan Wang, Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
2007	—	`—`	Generalized regularized learning. Wenye Li
2007	A*	`conf`	Generalizing the Bias Term of Support Vector Machines. IJCAI Wenye Li, Kwong-Sak Leung, Kin-Hong Lee
2007	A*	`conf`	Large-scale RLSC learning without agony. ICML Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
2006	—	`conf`	Clustering with a Semantic Criterion Based on Dimensionality Analysis. ICONIP (2) Wenye Li, Kin-Hong Lee, Kwong-Sak Leung
2006	—	`conf`	Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. NIPS Wenye Li, Kin-Hong Lee, Kwong-Sak Leung