DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. - Ruizhong Qiu; Zhiqing Sun; Yiming Yang (NeurIPS, 2022)

Reconstructing Graph Diffusion History from a Single Snapshot. - Ruizhong Qiu; Dingsu Wang; Lei Ying 001; H. Vincent Poor; Yifang Zhang; Hanghang Tong (KDD, 2023)

Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. - Dingsu Wang; Yuchen Yan; Ruizhong Qiu; Yada Zhu; Kaiyu Guan; Andrew Margenot; Hanghang Tong (KDD, 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)

On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. - Xinyu He 003; Jian Kang 008; Ruizhong Qiu; Fei Wang 065; Jose Sepulveda; Hanghang Tong (CIKM, 2024)

Group Fairness via Group Consensus. - Eunice Chan; Zhining Liu 002; Ruizhong Qiu; Yuheng Zhang; Ross Maciejewski; Hanghang Tong (FAccT, 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)

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. - Ruizhong Qiu; 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)

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. - Xiao Lin; Zhining Liu 002; Dongqi Fu; Ruizhong Qiu; Hanghang Tong (NeurIPS, 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)

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. - Lihui Liu; Zihao Wang 001; Ruizhong Qiu; Yikun Ban; Eunice Chan; Yangqiu Song; Jingrui He; Hanghang Tong (CoRR, 2024)

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

TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. - Ruizhong Qiu; Jun-Gi Jang; Xiao Lin; Lihui Liu; Hanghang Tong (Proc. VLDB Endow., 2024)

Ask, and it shall be given: On the Turing completeness of prompting. - Ruizhong Qiu; Zhe Xu 007; Wenxuan Bao; Hanghang Tong (ICLR, 2025)

How efficient is LLM-generated code? A rigorous & high-standard benchmark. - Ruizhong Qiu; Weiliang Will Zeng; James Ezick; Christopher Lott; Hanghang Tong (ICLR, 2025)

Generalizable Recommender System During Temporal Popularity Distribution Shifts. - Hyunsik Yoo; Ruizhong Qiu; Charlie Xu; Fei Wang 065; Hanghang Tong (KDD (1), 2025)

Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. - Hyunsik Yoo; SeongKu Kang; Ruizhong Qiu; Charlie Xu; Fei Wang 065; Hanghang Tong (SIGIR, 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)

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. - Xiao Lin; Zhining Liu 002; Ze Yang; Gaotang Li; Ruizhong Qiu; Shuke Wang; Hui Liu; Haotian Li; Sumit Keswani; Vishwa Pardeshi; Huijun Zhao; Wei Fan 001; et al. (CoRR, 2025)

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. - Jiaru Zou; Yikun Ban; Zihao Li 006; Yunzhe Qi; Ruizhong Qiu; Ling Yang; Jingrui He (CoRR, 2025)

Model-Free Graph Data Selection under Distribution Shift. - Ting-Wei Li; Ruizhong Qiu; Hanghang Tong (CoRR, 2025)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. - Zhining Liu 002; Ze Yang; Xiao Lin; Ruizhong Qiu; Tianxin Wei; Yada Zhu; Hendrik F. Hamann; Jingrui He; 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)

Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. - Ruizhong Qiu; Gaotang Li; Tianxin Wei; Jingrui He; Hanghang Tong (CoRR, 2025)

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. - Wenxuan Bao; Ruxi Deng; Ruizhong Qiu; Tianxin Wei; Hanghang Tong; Jingrui He (CoRR, 2025)