A feature selection method for document clustering based on part-of-speech and word co-occurrence. - Zitao Liu; Wenchao Yu; Yalan Deng; Yongtao Wang; Zhiqi Bian (FSKD, 2010)

Embedding with Autoencoder Regularization. - Wenchao Yu; Guangxiang Zeng; Ping Luo 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2013)

A route planning strategy for the automatic garment cutter based on genetic algorithm. - Wenchao Yu; Linji Lu (IEEE Congress on Evolutionary Computation, 2014)

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Sinno Jialin Pan; Wenchao Yu; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2014)

Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. - Wenchao Yu; Ariyam Das; Justin Wood; Wei Wang 010; Carlo Zaniolo; Ping Luo 001 (ICDM, 2015)

Learning deep representations via extreme learning machines. - Wenchao Yu; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Neurocomputing, 2015)

Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Haifeng Chen; Wei Wang 010 (IJCAI, 2017)

Event Detection and Summarization Using Phrase Network. - Sara Melvin; Wenchao Yu; Peng Ju; Sean D. Young; Wei Wang 010 (ECML/PKDD (3), 2017)

Temporally Factorized Network Modeling for Evolutionary Network Analysis. - Wenchao Yu; Charu C. Aggarwal; Wei Wang 010 (WSDM, 2017)

Ground moving target motion parameter estimation using Radon modified Lv's distribution. - Wenchao Yu; Weimin Su; Hong Gu (Digit. Signal Process., 2017)

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Kai Zhang 001; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Learning Deep Network Representations with Adversarially Regularized Autoencoders. - Wenchao Yu; Cheng Zheng 004; Wei Cheng 002; Charu C. Aggarwal; Dongjin Song; Bo Zong; Haifeng Chen; Wei Wang 010 (KDD, 2018)

Modeling Co-Evolution Across Multiple Networks. - Wenchao Yu; Charu C. Aggarwal; Wei Wang 010 (SDM, 2018)

Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding. - Yao Li 015; Martin Renqiang Min; Wenchao Yu; Cho-Jui Hsieh; Thomas C. M. Lee; Erik Kruus (CoRR, 2018)

Fast method for radar maneuvering target detection and motion parameter estimation. - Wenchao Yu; Weimin Su; Hong Gu (Multidimens. Syst. Signal Process., 2018)

Ground maneuvering target detection based on discrete polynomial-phase transform and Lv's distribution. - Wenchao Yu; Weimin Su; Hong Gu (Signal Process., 2018)

Radio Frequency Interference Suppression for SAR via Block Sparse Bayesian Learning. - Xingyu Lu; Weimin Su; Jianchao Yang; Hong Gu; Hailong Zhang; Wenchao Yu; Tat Soon Yeo (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Learning Robust Representations with Graph Denoising Policy Network. - Lu Wang 029; Wenchao Yu; Wei Wang 010; Wei Cheng 002; Wei Zhang 056; Hongyuan Zha; Xiaofeng He; Haifeng Chen (ICDM, 2019)

Self-Attentive Attributed Network Embedding Through Adversarial Learning. - Wenchao Yu; Wei Cheng 002; Charu C. Aggarwal; Bo Zong; Haifeng Chen; Wei Wang 010 (ICDM, 2019)

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. - Junheng Hao; Muhao Chen 001; Wenchao Yu; Yizhou Sun; Wei Wang 010 (KDD, 2019)

Deep Co-Clustering. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Jingchao Ni; Dongjin Song; Wenchao Yu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (SDM, 2019)

Fast implementation of ground maneuvering target focusing. - Wenchao Yu; Weimin Su; Hong Gu; Jianchao Yang; Xingyu Lu (Digit. Signal Process., 2019)

Practical and Scalable Methods for Information Network Analysis and Mining. - Wenchao Yu (2019)

Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. - Dongkuan Xu; Wei Cheng 002; Bo Zong; Dongjin Song; Jingchao Ni; Wenchao Yu; Yanchi Liu; Haifeng Chen; Xiang Zhang 001 (AAAI, 2020)

Inductive and Unsupervised Representation Learning on Graph Structured Objects. - Lichen Wang; Bo Zong; Qianqian Ma; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Yanchi Liu; Dongjin Song; Haifeng Chen; Yun Fu 001 (ICLR, 2020)

Robust Graph Representation Learning via Neural Sparsification. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ICML, 2020)

Parameterized Explainer for Graph Neural Network. - Dongsheng Luo; Wei Cheng 002; Dongkuan Xu; Wenchao Yu; Bo Zong; Haifeng Chen; Xiang Zhang 001 (NeurIPS, 2020)

Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution. - Cheng Zheng 004; Bo Zong; Wei Cheng 002; Dongjin Song; Jingchao Ni; Wenchao Yu; Haifeng Chen; Wei Wang 010 (ECML/PKDD (3), 2020)

Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. - Lu Wang 029; Wenchao Yu; Xiaofeng He; Wei Cheng 002; Martin Renqiang Ren; Wei Wang 010; Bo Zong; Haifeng Chen; Hongyuan Zha (WWW, 2020)

Weak maneuvering target detection in random pulse repetition interval radar. - Wenchao Yu; Weimin Su; Hong Gu; Jianchao Yang; Xingyu Lu (Signal Process., 2020)

Multi-Task Recurrent Modular Networks. - Dongkuan Xu; Wei Cheng 002; Xin Dong 010; Bo Zong; Wenchao Yu; Jingchao Ni; Dongjin Song; Xuchao Zhang; Haifeng Chen; Xiang Zhang 001 (AAAI, 2021)

You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. - Zeyu Li 001; Wei Cheng 002; Haiqi Xiao; Wenchao Yu; Haifeng Chen; Wei Wang 010 (CIKM, 2021)

Towards Robustness of Deep Neural Networks via Regularization. - Yao Li 015; Martin Renqiang Min; Thomas C. M. Lee; Wenchao Yu; Erik Kruus; Wei Wang 010; Cho-Jui Hsieh (ICCV, 2021)

Aspect-based Sentiment Classification via Reinforcement Learning. - Lichen Wang; Bo Zong; Yunyu Liu; Can Qin; Wei Cheng 002; Wenchao Yu; Xuchao Zhang; Haifeng Chen; Yun Fu 001 (ICDM, 2021)

Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization. - Jianchao Yang; Xingyu Lu; Zheng Dai; Ke Tan 007; Wenchao Yu (IGARSS, 2021)

Learning to Drop: Robust Graph Neural Network via Topological Denoising. - Dongsheng Luo; Wei Cheng 002; Wenchao Yu; Bo Zong; Jingchao Ni; Haifeng Chen; Xiang Zhang 001 (WSDM, 2021)

The Green Product's Pricing Strategy in a Dual Channel considering Manufacturer's Risk Attitude. - Junjie Ma; Wenchao Yu; Shuxia Li; Linghong Zhang; Shaobin Zang (Complex., 2021)

Unsupervised Document Embedding via Contrastive Augmentation. - Dongsheng Luo; Wei Cheng 002; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Bo Zong; Yanchi Liu; Zhengzhang Chen; Dongjin Song; Haifeng Chen; Xiang Zhang 001 (CoRR, 2021)

Enhanced LRR-Based RFI Suppression for SAR Imaging Using the Common Sparsity of Range Profiles for Accurate Signal Recovery. - Xingyu Lu; Jianchao Yang; Wenchao Yu; Weimin Su; Hong Gu; Tat Soon Yeo (IEEE Trans. Geosci. Remote. Sens., 2021)

Seed: Sound Event Early Detection Via Evidential Uncertainty. - Xujiang Zhao; Xuchao Zhang; Wei Cheng 002; Wenchao Yu; Yuncong Chen; Haifeng Chen; Feng Chen 001 (ICASSP, 2022)

Personalized Federated Learning via Heterogeneous Modular Networks. - Tianchun Wang; Wei Cheng 002; Dongsheng Luo; Wenchao Yu; Jingchao Ni; Liang Tong; Haifeng Chen; Xiang Zhang 001 (ICDM, 2022)

Complex migration correction and coherent integration algorithm for radar target with arbitrary moving direction. - Wenchao Yu; Xingyu Lu; Weimin Su; Hong Gu; Jianchao Yang (Digit. Signal Process., 2022)

Accurate SAR Image Recovery From RFI Contaminated Raw Data by Using Image Domain Mixed Regularizations. - Xingyu Lu; Jianchao Yang; Tat Soon Yeo; Weimin Su; Hong Gu; Wenchao Yu (IEEE Trans. Geosci. Remote. Sens., 2022)

Real-Time One-Stream Semantic-Guided Refinement Network for RGB-Thermal Salient Object Detection. - Fushuo Huo; Xuegui Zhu; Qian Zhang 028; Ziming Liu; Wenchao Yu (IEEE Trans. Instrum. Meas., 2022)

Time Series Contrastive Learning with Information-Aware Augmentations. - Dongsheng Luo; Wei Cheng 002; Yingheng Wang; Dongkuan Xu; Jingchao Ni; Wenchao Yu; Xuchao Zhang; Yanchi Liu; Yuncong Chen; Haifeng Chen; Xiang Zhang 001 (AAAI, 2023)

Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. - Yushan Jiang; Wenchao Yu; Dongjin Song; Wei Cheng 002; Haifeng Chen (CISS, 2023)

GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. - Yufei Li 001; Yanchi Liu; Haoyu Wang; Zhengzhang Chen; Wei Cheng 002; Yuncong Chen; Wenchao Yu; Haifeng Chen; Cong Liu 005 (ICKG, 2023)

Personalized Federated Learning under Mixture of Distributions. - Yue Wu; Shuaicheng Zhang; Wenchao Yu; Yanchi Liu; Quanquan Gu; Dawei Zhou 003; Haifeng Chen; Wei Cheng 002 (ICML, 2023)

FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. - Yushan Jiang; Wenchao Yu; Dongjin Song; Lu Wang 029; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (KDD, 2023)

Dynamic DAG Discovery for Interpretable Imitation Learning. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (CoRR, 2023)

Large Language Models Can Be Good Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Haifeng Chen; Wei Wang 010; Wei Cheng 002 (CoRR, 2023)

Maneuvering target detection method based on Keystone transform and Radon local mapping sparse-modified Lv's Distribution. - Wenchao Yu; Weimin Su; Hong Gu; Jianchao Yang; Xingyu Lu (Signal Image Video Process., 2023)

InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. - Fali Wang; Runxue Bao; Suhang Wang; Wenchao Yu; Yanchi Liu; Wei Cheng 002; Haifeng Chen (EMNLP (Findings), 2024)

Large Language Models Can Be Contextual Privacy Protection Learners. - Yijia Xiao; Yiqiao Jin; Yushi Bai; Yue Wu; Xianjun Yang; Xiao Luo 001; Wenchao Yu; Xujiang Zhao; Yanchi Liu; Quanquan Gu; Haifeng Chen; Wei Wang 010; et al. (EMNLP, 2024)

A New Method of Noise Frequency Modulated Interference Suppression for SAR. - Lunhao Duan; Xingyu Lu; Shengqi Zhou; Jianchao Yang; Ke Tan 007; Zheng Dai; Wenchao Yu; Wenbin Zhu; Hong Gu (IGARSS, 2024)

PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. - Yuyang Ye 002; Lu-An Tang; Haoyu Wang 003; Runlong Yu; Wenchao Yu; Erhu He; Haifeng Chen; Hui Xiong 001 (KDD, 2024)

Interpretable Imitation Learning with Dynamic Causal Relations. - Tianxiang Zhao 001; Wenchao Yu; Suhang Wang; Lu Wang 029; Xiang Zhang 001; Yuncong Chen; Yanchi Liu; Wei Cheng 002; Haifeng Chen (WSDM, 2024)

Mix-Key: graph mixup with key structures for molecular property prediction. - Tianyi Jiang; Zeyu Wang; Wenchao Yu; Jinhuan Wang; Shanqing Yu; Xiaoze Bao; Bin Wei; Qi Xuan 001 (Briefings Bioinform., 2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (CoRR, 2024)

Efficient Long-Time Coherent Integration and Detection Algorithm for Radar High-Speed Target Based on the Azimuth Resampling Technology. - Wenchao Yu; Xingyu Lu; Weimin Su; Hong Gu; Jianchao Yang (IEEE Trans. Aerosp. Electron. Syst., 2024)

A Sparse Recovery Algorithm for Suppressing Multiple Linear Frequency Modulation Interference in the Synthetic Aperture Radar Image Domain. - Guanqi Tong; Xingyu Lu; Jianchao Yang; Wenchao Yu; Hong Gu; Weimin Su (Sensors, 2024)

Towards Inductive and Efficient Explanations for Graph Neural Networks. - Dongsheng Luo; Tianxiang Zhao 001; Wei Cheng 002; Dongkuan Xu; Feng Han; Wenchao Yu; Xiao Liu 039; Haifeng Chen; Xiang Zhang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents. - Geon Lee; Wenchao Yu; Kijung Shin; Wei Cheng 002; Haifeng Chen (AAAI, 2025)

TSLA: A Multi-Task Time Series Language Model. - Liri Fang; Yuncong Chen; Wenchao Yu; Yanchi Liu; Lu-An Tang; Vetle I. Torvik; Haifeng Chen (ICASSP, 2025)

SFS: Smarter Code Space Search improves LLM Inference Scaling. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (ICLR, 2025)

MixLLM: Dynamic Routing in Mixed Large Language Models. - Xinyuan Wang 011; Yanchi Liu; Wei Cheng 002; Xujiang Zhao; Zhengzhang Chen; Wenchao Yu; Yanjie Fu; Haifeng Chen (NAACL (Long Papers), 2025)

Position Really Matters: Towards a Holistic Approach for Prompt Tuning. - Xianjun Yang; Wei Cheng 002; Xujiang Zhao; Wenchao Yu; Linda Ruth Petzold; Haifeng Chen (NAACL (Findings), 2025)

Localization of Ground-Based Periodic Pulse Interferers Using Time Difference of Arrival Estimation in SAR Satellite Systems. - Shengqi Zhou; Xingyu Lu; Jianchao Yang; Huizhang Yang; Junpeng Du; Lunhao Duan; Wenchao Yu; Ke Tan 007; Shaojia Ge; Weimin Su; Hong Gu (IEEE Trans. Geosci. Remote. Sens., 2025)

Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. - Yushan Jiang; Wenchao Yu; Geon Lee; Dongjin Song; Kijung Shin; Wei Cheng 002; Yanchi Liu; Haifeng Chen (CoRR, 2025)

Multi-modal Time Series Analysis: A Tutorial and Survey. - Yushan Jiang; Kanghui Ning; Zijie Pan; Xuyang Shen; Jingchao Ni; Wenchao Yu; Anderson Schneider; Haifeng Chen; Yuriy Nevmyvaka; Dongjin Song (CoRR, 2025)

Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting. - ChengAo Shen; Wenchao Yu; Ziming Zhao 016; Dongjin Song; Wei Cheng 002; Haifeng Chen; Jingchao Ni (CoRR, 2025)

DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. - Minghao Guo; Qingcheng Zeng; Xujiang Zhao; Yanchi Liu; Wenchao Yu; Mengnan Du; Haifeng Chen; Wei Cheng 002 (CoRR, 2025)