Semi-supervised Context Discovery for Peer-Based Anomaly Detection in Multi-layer Networks. - Bo Dong; Yuhang Wu 002; Micheal Yeh; Yusan Lin; Yuzhong Chen 004; Hao Yang 007; Fei Wang 062; Wanxin Bai; Krupa Brahmkstri; Yimin Zhang 002; Chinna Kummitha; Verma Abhisar (ICICS, 2022)

Tackling Diverse Minorities in Imbalanced Classification. - Kwei-Herng Lai; Daochen Zha; Huiyuan Chen; Mangesh Bendre; Yuzhong Chen 004; Mahashweta Das; Hao Yang 007; Xia Hu 001 (CIKM, 2023)

Kernel Ridge Regression-Based Graph Dataset Distillation. - Zhe Xu 007; Yuzhong Chen 004; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hao Yang 007; Hanghang Tong (KDD, 2023)

Node Classification Beyond Homophily: Towards a General Solution. - Zhe Xu 007; Yuzhong Chen 004; Qinghai Zhou; Yuhang Wu 002; Menghai Pan; Hao Yang 007; Hanghang Tong (KDD, 2023)

From Trainable Negative Depth to Edge Heterophily in Graphs. - Yuchen Yan; Yuzhong Chen 004; Huiyuan Chen; Minghua Xu 003; Mahashweta Das; Hao Yang 007; Hanghang Tong (NeurIPS, 2023)

Knowledge Graph Question Answering with Ambiguous Query. - Lihui Liu; Yuzhong Chen 004; Mahashweta Das; Hao Yang 007; Hanghang Tong (WWW, 2023)

Invariant Graph Transformer. - Zhe Xu 007; Menghai Pan; Yuzhong Chen 004; Huiyuan Chen; Yuchen Yan; Mahashweta Das; Hanghang Tong (CoRR, 2023)

Enhancing Hyperbolic Knowledge Graph Embeddings via Lorentz Transformations. - Xiran Fan; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen 004; Mahashweta Das; Hao Yang 007 (ACL (Findings), 2024)

Graph Anomaly Detection with Adaptive Node Mixup. - Qinghai Zhou; Yuzhong Chen 004; Zhe Xu 007; Yuhang Wu 002; Menghai Pan; Mahashweta Das; Hao Yang 007; Hanghang Tong (CIKM, 2024)

Discrete-state Continuous-time Diffusion for Graph Generation. - Zhe Xu 007; Ruizhong Qiu; Yuzhong Chen 004; Huiyuan Chen; Xiran Fan; Menghai Pan; Zhichen Zeng 001; Mahashweta Das; Hanghang Tong (NeurIPS, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen 004; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)

PaCEr: Network Embedding From Positional to Structural. - Yuchen Yan; Yongyi Hu; Qinghai Zhou; Lihui Liu; Zhichen Zeng 001; Yuzhong Chen 004; Menghai Pan; Huiyuan Chen; Mahashweta Das; Hanghang Tong (WWW, 2024)

Can One Embedding Fit All? A Multi-Interest Learning Paradigm Towards Improving User Interest Diversity Fairness. - Yuying Zhao; Minghua Xu 003; Huiyuan Chen; Yuzhong Chen 004; Yiwei Cai; Rashidul Islam; Yu Wang 160; Tyler Derr (WWW, 2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network. - Yuchen Yan; Yuzhong Chen 004; Huiyuan Chen; Xiaoting Li 001; Zhe Xu 007; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong (CoRR, 2024)

Taming Knowledge Conflicts in Language Models. - Gaotang Li; Yuzhong Chen 004; Hanghang Tong (CoRR, 2025)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. - Xiao Lin 016; Zhichen Zeng 001; Tianxin Wei; Zhining Liu 002; Yuzhong Chen 004; Hanghang Tong (CoRR, 2025)

Advancing Table Understanding of Large Language Models via Feature Re-ordering. - Guanchu Wang; Yuzhong Chen 004; Huiyuan Chen; Xiran Fan; Junpeng Wang 001; Xiaoting Li 001; Mingzhi Hu; Chia-Yuan Chang 002; Xia Hu 001 (SIGKDD Explor., 2025)

Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement. - Junpeng Wang 001; Yuzhong Chen 004; Menghai Pan; Chin-Chia Michael Yeh; Mahashweta Das (CoRR, 2025)