Ruizhong Qiu

According to our database, Ruizhong Qiu authored at least 29 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, July, 2025

Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance.

Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong

CoRR, June, 2025

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment.

Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong

CoRR, May, 2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting.

Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong

CoRR, May, 2025

Model-Free Graph Data Selection under Distribution Shift.

Ting-Wei Li, Ruizhong Qiu, Hanghang Tong

CoRR, May, 2025

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning.

Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He

CoRR, May, 2025

MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models.

Xiao Lin, Zhining Liu, Ze Yang, Gaotang Li, Ruizhong Qiu, Shuke Wang, Hui Liu, Haotian Li, Sumit Keswani, Vishwa Pardeshi, Huijun Zhao, Wei Fan, Hanghang Tong

CoRR, May, 2025

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

CoRR, May, 2025

Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems.

Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Generalizable Recommender System During Temporal Popularity Distribution Shifts.

Hyunsik Yoo, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

How efficient is LLM-generated code? A rigorous & high-standard benchmark.

Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Ask, and it shall be given: On the Turing completeness of prompting.

Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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., September, 2024

WAPITI: A Watermark for Finetuned Open-Source LLMs.

Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, 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

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs.

Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong

CoRR, 2024

Ensuring User-side Fairness in Dynamic Recommender Systems.

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong

Proceedings of the ACM on Web Conference 2024, 2024

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting.

Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Discrete-state Continuous-time Diffusion for Graph Generation.

Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AIM: Attributing, Interpreting, Mitigating Data Unfairness.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Mixup on Approximate Gromov-Wasserstein Geodesics.

Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Ruizhong Qiu, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Class-Imbalanced Graph Learning without Class Rebalancing.

Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Group Fairness via Group Consensus.

Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

On the Sensitivity of Individual Fairness: Measures and Robust Algorithms.

Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Topological Augmentation for Class-Imbalanced Node Classification.

Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong

CoRR, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Reconstructing Graph Diffusion History from a Single Snapshot.

Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems.

Ruizhong Qiu, Zhiqing Sun, Yiming Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022