Generative Graph Dictionary Learning. - Zhichen Zeng 001; Ruike Zhu; Yinglong Xia; Hanqing Zeng; Hanghang Tong (ICML, 2023)

PARROT: Position-Aware Regularized Optimal Transport for Network Alignment. - Zhichen Zeng 001; Si Zhang; Yinglong Xia; Hanghang Tong (WWW, 2023)

Topological Augmentation for Class-Imbalanced Node Classification. - Zhining Liu 002; Zhichen Zeng 001; Ruizhong Qiu; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (CoRR, 2023)

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Zhining Liu 002; David Zhou; Fei Wang 065; Eunice Chan; Hanghang Tong (CoRR, 2023)

Hierarchical Multi-Marginal Optimal Transport for Network Alignment. - Zhichen Zeng 001; Boxin Du; Si Zhang; Yinglong Xia; Zhining Liu 002; Hanghang Tong (AAAI, 2024)

Class-Imbalanced Graph Learning without Class Rebalancing. - Zhining Liu 002; Ruizhong Qiu; Zhichen Zeng 001; Hyunsik Yoo; David Zhou; Zhe Xu 007; Yada Zhu; Kommy Weldemariam; Jingrui He; Hanghang Tong (ICML, 2024)

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter. - Haobo Xu; Yuchen Yan; Dingsu Wang; Zhe Xu 007; Zhichen Zeng 001; Tarek F. Abdelzaher; Jiawei Han 001; Hanghang Tong (ICML, 2024)

Graph Mixup on Approximate Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Zhe Xu 007; Zhining Liu 002; Yuchen Yan; Tianxin Wei; Lei Ying 001; Jingrui He; Hanghang Tong (ICML, 2024)

AIM: Attributing, Interpreting, Mitigating Data Unfairness. - Zhining Liu 002; Ruizhong Qiu; Zhichen Zeng 001; Yada Zhu; Hendrik F. Hamann; Hanghang Tong (KDD, 2024)

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

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

Ensuring User-side Fairness in Dynamic Recommender Systems. - Hyunsik Yoo; Zhichen Zeng 001; Jian Kang 008; Ruizhong Qiu; David Zhou; Zhining Liu 002; Fei Wang 065; Charlie Xu; Eunice Chan; Hanghang Tong (WWW, 2024)

WAPITI: A Watermark for Finetuned Open-Source LLMs. - Lingjie Chen; Ruizhong Qiu; Siyu Yuan; Zhining Liu 002; Tianxin Wei; Hyunsik Yoo; Zhichen Zeng 001; Deqing Yang; Hanghang Tong (CoRR, 2024)

AdaRC: Mitigating Graph Structure Shifts during Test-Time. - Wenxuan Bao; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong; Jingrui He (CoRR, 2024)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

A Collaborative Ensemble Framework for CTR Prediction. - Xiaolong Liu; Zhichen Zeng 001; Xiaoyi Liu; Siyang Yuan; Weinan Song; Mengyue Hang; Yiqun Liu; Chaofei Yang; Donghyun Kim; Wen-Yen Chen; Jiyan Yang; Yiping Han; et al. (CoRR, 2024)

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

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation. - Wenxuan Bao; Zhichen Zeng 001; Zhining Liu 002; Hanghang Tong; Jingrui He (ICLR, 2025)

ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. - Mengting Ai; Tianxin Wei; Yifan Chen 004; Zhichen Zeng 001; Ritchie Zhao; Girish Varatkar; Bita Darvish Rouhani; Xianfeng Tang; Hanghang Tong; Jingrui He (KDD (1), 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (WWW (Companion Volume), 2025)

Joint Optimal Transport and Embedding for Network Alignment. - Qi Yu; Zhichen Zeng 001; Yuchen Yan; Lei Ying 001; R. Srikant 001; Hanghang Tong (WWW, 2025)

Improving LLM General Preference Alignment via Optimistic Online Mirror Descent. - Yuheng Zhang; Dian Yu 001; Tao Ge 005; Linfeng Song; Zhichen Zeng 001; Haitao Mi; Nan Jiang 008; Dong Yu 001 (CoRR, 2025)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation. - Mingfu Liang; Xi Liu; Rong Jin 001; Boyang Liu; Qiuling Suo; Qinghai Zhou; Song Zhou; Laming Chen; Hua Zheng; Zhiyuan Li; Shali Jiang 003; Jiyan Yang; et al. (CoRR, 2025)

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

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. - Zhichen Zeng 001; Ruizhong Qiu; Wenxuan Bao; Tianxin Wei; Xiao Lin; Yuchen Yan; Tarek F. Abdelzaher; Jiawei Han 001; Hanghang Tong (CoRR, 2025)

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. - Qi Yu; Zhichen Zeng 001; Yuchen Yan; Zhining Liu 002; Baoyu Jing; Ruizhong Qiu; Ariful Azad; Hanghang Tong (CoRR, 2025)

Flow Matching Meets Biology and Life Science: A Survey. - Zihao Li 006; Zhichen Zeng 001; Xiao Lin; Feihao Fang; Yanru Qu; Zhe Xu 007; Zhining Liu 002; Xuying Ning; Tianxin Wei; Ge Liu; Hanghang Tong; Jingrui He (CoRR, 2025)