HCL4QC: Incorporating Hierarchical Category Structures Into Contrastive Learning for E-commerce Query Classification. - Lvxing Zhu; Kexin Zhang 007; Hao Chen; Chao Wei; Weiru Zhang; Haihong Tang; Xiu Li 001 (CIKM, 2023)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (CoRR, 2023)

Expert demonstrations guide reward decomposition for multi-agent cooperation. - Weiwei Liu; Jing Wei; Shanqi Liu; Yudi Ruan; Kexin Zhang 007; Yang Jiang; Yong Liu 007 (Neural Comput. Appl., 2023)

DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification. - Rongyao Cai; Linpeng Peng; Zhengming Lu; Kexin Zhang 007; Yong Liu 007 (ICASSP, 2024)

Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yong Liu 007 (ICASSP, 2024)

Position: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (ICML, 2024)

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. - Kexin Zhang 007; Yichao Wang 002; Xiu Li 001; Ruiming Tang; Rui Zhang 003 (WSDM, 2024)

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis. - Ming Jin 005; Yifan Zhang 004; Wei Chen 070; Kexin Zhang 007; Yuxuan Liang; Bin Yang 002; Jindong Wang 001; Shirui Pan; Qingsong Wen (CoRR, 2024)

A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. - Kexin Zhang 007; Shuhan Liu; Song Wang 013; Weili Shi; Chen Chen 022; Pan Li; Sheng Li 001; Jundong Li; Kaize Ding (CoRR, 2024)

Debiased Contrastive Learning for Time-Series Representation Learning and Fault Detection. - Kexin Zhang 007; Rongyao Cai; Chunlin Zhou; Yong Liu 007 (IEEE Trans. Ind. Informatics, 2024)

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects. - Kexin Zhang 007; Qingsong Wen; Chaoli Zhang 001; Rongyao Cai; Ming Jin 005; Yong Liu 007; James Y. Zhang; Yuxuan Liang; Guansong Pang; Dongjin Song; Shirui Pan (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Debiased Contrastive Learning With Supervision Guidance for Industrial Fault Detection. - Rongyao Cai; Wang Gao 001; Linpeng Peng; Zhengming Lu; Kexin Zhang 007; Yong Liu 007 (IEEE Trans. Ind. Informatics, 2024)

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation. - Chenhao Zhai; Chang Meng; Yu Yang 015; Kexin Zhang 007; Xuhao Zhao; Xiu Li 001 (KDD (1), 2025)

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. - Kexin Zhang 007; Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Kaize Ding; Xiuqiang He 001; Xue Liu 001 (WSDM, 2025)

A Survey of Large Language Models for Text-Guided Molecular Discovery: from Molecule Generation to Optimization. - Ziqing Wang; Kexin Zhang 007; Zihan Zhao; Yibo Wen; Abhishek Pandey; Han Liu; Kaize Ding (CoRR, 2025)

Cross-Domain Conditional Diffusion Models for Time Series Imputation. - Kexin Zhang 007; Baoyu Jing; K. Selçuk Candan; Dawei Zhou 003; Qingsong Wen; Han Liu; Kaize Ding (CoRR, 2025)

From Entanglement to Alignment: Representation Space Decomposition for Unsupervised Time Series Domain Adaptation. - Rongyao Cai; Ming Jin 005; Qingsong Wen; Kexin Zhang 007 (CoRR, 2025)