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Ruizhong Qiu
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2020 – today
- 2024
- [c10]Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong:
On the Sensitivity of Individual Fairness: Measures and Robust Algorithms. CIKM 2024: 829-838 - [c9]Eunice Chan
, Zhining Liu
Group Fairness via Group Consensus. FAccT 2024: 1788-1808 - [c8]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Class-Imbalanced Graph Learning without Class Rebalancing. ICML 2024 - [c7]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. ICML 2024 - [c6]Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong:
Graph Mixup on Approximate Gromov-Wasserstein Geodesics. ICML 2024 - [c5]Zhining Liu
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD 2024: 2014-2025 - [c4]Hyunsik Yoo
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW 2024: 3667-3678 - [i12]Lihui Liu, Zihao Wang, Ruizhong Qiu, Yikun Ban, Eunice Chan, Yangqiu Song, Jingrui He, Hanghang Tong:
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. CoRR abs/2404.04264 (2024) - [i11]Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong:
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR abs/2405.11416 (2024) - [i10]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR abs/2405.16805 (2024) - [i9]Ruizhong Qiu, Weiliang Will Zeng, Hanghang Tong, James Ezick, Christopher Lott:
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark. CoRR abs/2406.06647 (2024) - [i8]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR abs/2406.08819 (2024) - [i7]Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John R. Birge, Jingrui He:
Fair Anomaly Detection For Imbalanced Groups. CoRR abs/2409.10951 (2024) - [i6]Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR abs/2410.02195 (2024) - [i5]Lingjie Chen, Ruizhong Qiu, Siyu Yuan, Zhining Liu, Tianxin Wei, Hyunsik Yoo, Zhichen Zeng, Deqing Yang, Hanghang Tong:
WAPITI: A Watermark for Finetuned Open-Source LLMs. CoRR abs/2410.06467 (2024) - 2023
- [c3]Ruizhong Qiu
Reconstructing Graph Diffusion History from a Single Snapshot. KDD 2023: 1978-1988 - [c2]Dingsu Wang
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD 2023: 2256-2268 - [i4]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew J. Margenot, Hanghang Tong:
Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. CoRR abs/2305.18612 (2023) - [i3]Ruizhong Qiu, Dingsu Wang, Lei Ying
Reconstructing Graph Diffusion History from a Single Snapshot. CoRR abs/2306.00488 (2023) - [i2]Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong:
Topological Augmentation for Class-Imbalanced Node Classification. CoRR abs/2308.14181 (2023) - 2022
- [c1]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. NeurIPS 2022 - [i1]Ruizhong Qiu, Zhiqing Sun, Yiming Yang:
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems. CoRR abs/2210.04123 (2022)
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