Deep Multimodality Model for Multi-task Multi-view Learning. - Lecheng Zheng; Yu Cheng; Jingrui He (SDM, 2019)

Misc-GAN: A Multi-scale Generative Model for Graphs. - Dawei Zhou 003; Lecheng Zheng; Jiejun Xu; Jingrui He (Frontiers Big Data, 2019)

A Data-Driven Graph Generative Model for Temporal Interaction Networks. - Dawei Zhou 003; Lecheng Zheng; Jiawei Han 001; Jingrui He (KDD, 2020)

Domain Adaptive Multi-Modality Neural Attention Network for Financial Forecasting. - Dawei Zhou 003; Lecheng Zheng; Yada Zhu; Jianbo Li; Jingrui He (WWW, 2020)

Outlier Impact Characterization for Time Series Data. - Jianbo Li; Lecheng Zheng; Yada Zhu; Jingrui He (AAAI, 2021)

Deep Co-Attention Network for Multi-View Subspace Learning. - Lecheng Zheng; Yu Cheng; Hongxia Yang; Nan Cao 001; Jingrui He (WWW, 2021)

Heterogeneous Contrastive Learning. - Lecheng Zheng; Yada Zhu; Jingrui He; Jinjun Xiong (CoRR, 2021)

Tackling Oversmoothing of GNNs with Contrastive Learning. - Lecheng Zheng; Dongqi Fu; Jingrui He (CoRR, 2021)

MentorGNN: Deriving Curriculum for Pre-Training GNNs. - Dawei Zhou 003; Lecheng Zheng; Dongqi Fu; Jiawei Han 001; Jingrui He (CIKM, 2022)

Contrastive Learning with Complex Heterogeneity. - Lecheng Zheng; Jinjun Xiong; Yada Zhu; Jingrui He (KDD, 2022)

Fairness-aware Multi-view Clustering. - Lecheng Zheng; Yada Zhu; Jingrui He (SDM, 2023)

Multi-label Sequential Sentence Classification via Large Language Model. - Mengfei Lan; Lecheng Zheng; Shufan Ming; Halil Kilicoglu (EMNLP (Findings), 2024)

Fairgen: Towards Fair Graph Generation. - Lecheng Zheng; Dawei Zhou 003; Hanghang Tong; Jiejun Xu; Yada Zhu; Jingrui He (ICDE, 2024)

Heterogeneous Contrastive Learning for Foundation Models and Beyond. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Hanghang Tong; Jingrui He (KDD, 2024)

MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. - Lecheng Zheng; Zhengzhang Chen; Jingrui He; Haifeng Chen (WWW, 2024)

Multi-modal Causal Structure Learning and Root Cause Analysis. - Lecheng Zheng; Zhengzhang Chen; Jingrui He; Haifeng Chen (CoRR, 2024)

LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis. - Lecheng Zheng; Zhengzhang Chen; Dongjie Wang; Chengyuan Deng; Reon Matsuoka; Haifeng Chen (CoRR, 2024)

Towards Multi-view Graph Anomaly Detection with Similarity-Guided Contrastive Clustering. - Lecheng Zheng; John R. Birge; Yifang Zhang; Jingrui He (CoRR, 2024)

Fair Anomaly Detection For Imbalanced Groups. - Ziwei Wu; Lecheng Zheng; Yuancheng Yu; Ruizhong Qiu; John R. Birge; Jingrui He (CoRR, 2024)

Online Multi-modal Root Cause Analysis. - Lecheng Zheng; Zhengzhang Chen; Haifeng Chen; Jingrui He (CoRR, 2024)

PyG-SSL: A Graph Self-Supervised Learning Toolkit. - Lecheng Zheng; Baoyu Jing; Zihao Li 006; Zhichen Zeng 001; Tianxin Wei; Mengting Ai; Xinrui He; Lihui Liu; Dongqi Fu; Jiaxuan You; Hanghang Tong; Jingrui He (CoRR, 2024)

DrGNN: Deep Residual Graph Neural Network with Contrastive Learning. - Lecheng Zheng; Dongqi Fu; Ross Maciejewski; Jingrui He (Trans. Mach. Learn. Res., 2024)

Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? - Zihao Li 006; Lecheng Zheng; Bowen Jin; Dongqi Fu; Baoyu Jing; Yikun Ban; Jingrui He; Jiawei Han 001 (ACL (1), 2025)

Cluster Aware Graph Anomaly Detection. - Lecheng Zheng; John R. Birge; Haiyue Wu; Yifang Zhang; Jingrui He (WWW, 2025)

Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. - Zihao Li 006; Xiao Lin; Zhining Liu 002; Jiaru Zou; Ziwei Wu; Lecheng Zheng; Dongqi Fu; Yada Zhu; Hendrik F. Hamann; Hanghang Tong; Jingrui He (CoRR, 2025)

ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. - Dongqi Fu; Yada Zhu; Zhining Liu 002; Lecheng Zheng; Xiao Lin; Zihao Li 006; Liri Fang; Katherine Tieu; Onkar Bhardwaj; Kommy Weldemariam; Hanghang Tong; Hendrik F. Hamann; et al. (CoRR, 2025)