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ORCIDRuizhong Qiu
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2020 – today
- 2025
[c16]Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong:
Ask, and it shall be given: On the Turing completeness of prompting. ICLR 2025- [c15]Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong:
How efficient is LLM-generated code? A rigorous & high-standard benchmark. ICLR 2025 - [c14]Hyunsik Yoo
, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong:
Generalizable Recommender System During Temporal Popularity Distribution Shifts. KDD (1) 2025: 1833-1843 - [c13]Hyunsik Yoo, SeongKu Kang, Ruizhong Qiu, Charlie Xu, Fei Wang, Hanghang Tong:
Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems. SIGIR 2025: 2092-2101 - [i28]Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong:
TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. CoRR abs/2501.06647 (2025) - [i27]Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong:
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics. CoRR abs/2505.12709 (2025) - [i26]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:
MORALISE: A Structured Benchmark for Moral Alignment in Visual Language Models. CoRR abs/2505.14728 (2025) - [i25]Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He:
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning. CoRR abs/2505.16270 (2025) - [i24]Ting-Wei Li, Ruizhong Qiu, Hanghang Tong:
Model-Free Graph Data Selection under Distribution Shift. CoRR abs/2505.17293 (2025) - [i23]Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong:
Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting. CoRR abs/2505.18442 (2025) - [i22]Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong:
PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment. CoRR abs/2505.21366 (2025) - [i21]Ruizhong Qiu, Gaotang Li, Tianxin Wei, Jingrui He, Hanghang Tong:
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance. CoRR abs/2506.06444 (2025) - [i20]Wenxuan Bao, Ruxi Deng, Ruizhong Qiu, Tianxin Wei, Hanghang Tong, Jingrui He:
Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning. CoRR abs/2507.21494 (2025) - [i19]Xinyu He, Chenhan Xiao, Haoran Li, Ruizhong Qiu, Zhe Xu, Yang Weng, Jingrui He, Hanghang Tong:
PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis. CoRR abs/2509.12212 (2025) - [i18]Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong:
Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs. CoRR abs/2509.12530 (2025) - [i17]Gaotang Li, Ruizhong Qiu, Xiusi Chen, Heng Ji, Hanghang Tong:
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum. CoRR abs/2510.00526 (2025) - [i16]Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li:
Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation. CoRR abs/2510.07414 (2025) - [i15]Zhichen Zeng, Mengyue Hang, Xiaolong Liu, Xiaoyi Liu, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Zhining Liu, Siyang Yuan, Chaofei Yang, Yiqun Liu, Hang Yin, Jiyan Yang, Hanghang Tong:
Hierarchical LoRA MoE for Efficient CTR Model Scaling. CoRR abs/2510.10432 (2025) - [i14]Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong:
Harnessing Consistency for Robust Test-Time LLM Ensemble. CoRR abs/2510.13855 (2025) - 2024
- [j1]Ruizhong Qiu, Jun-Gi Jang, Xiao Lin, Lihui Liu, Hanghang Tong:
TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges. Proc. VLDB Endow. 17(13): 4746-4759 (2024) - [c12]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 - [c11]Eunice Chan, Zhining Liu, Ruizhong Qiu, Yuheng Zhang, Ross Maciejewski, Hanghang Tong:
Group Fairness via Group Consensus. FAccT 2024: 1788-1808 - [c10]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 - [c9]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. ICML 2024 - [c8]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 - [c7]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. KDD 2024: 2014-2025 - [c6]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. NeurIPS 2024 - [c5]Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. NeurIPS 2024 - [c4]Hyunsik Yoo, Zhichen Zeng, Jian Kang, Ruizhong Qiu, David Zhou, Zhining Liu, Fei Wang, Charlie Xu, Eunice Chan, Hanghang Tong:
Ensuring User-side Fairness in Dynamic Recommender Systems. WWW 2024: 3667-3678 - [i13]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) - [i12]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) - [i11]Ruizhong Qiu, Hanghang Tong:
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization. CoRR abs/2405.16805 (2024) - [i10]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) - [i9]Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik F. Hamann, Hanghang Tong:
AIM: Attributing, Interpreting, Mitigating Data Unfairness. CoRR abs/2406.08819 (2024) - [i8]Ziwei Wu, Lecheng Zheng, Yuancheng Yu, Ruizhong Qiu, John R. Birge, Jingrui He:
Fair Anomaly Detection For Imbalanced Groups. CoRR abs/2409.10951 (2024) - [i7]Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong:
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR abs/2410.02195 (2024) - [i6]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) - [i5]Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong:
Ask, and it shall be given: Turing completeness of prompting. CoRR abs/2411.01992 (2024) - 2023
- [c3]Ruizhong Qiu, Dingsu Wang, Lei Ying, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
Reconstructing Graph Diffusion History from a Single Snapshot. KDD 2023: 1978-1988 - [c2]Dingsu Wang, Yuchen Yan, Ruizhong Qiu, Yada Zhu, Kaiyu Guan, Andrew Margenot, Hanghang Tong:
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, H. Vincent Poor, Yifang Zhang, Hanghang Tong:
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)
Coauthor Index
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