Scholar
Ruizhong Qiu
Google Scholar ID: REKarmcAAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
512
H-index
11
i10-index
14
Publications
20
Co-authors
13
list available
Contact
Publications
Resume (English only)
Academic Achievements
- [{'Title': 'Ask, and it shall be given: On the Turing completeness of prompting', 'Conference': 'ICLR 2025', 'Authors': 'Ruizhong Qiu, Zhe Xu, Wenxuan Bao, Hanghang Tong', 'Links': '[Paper] [GitHub] [Poster] [arXiv]'}, {'Title': 'How efficient is LLM-generated code? A rigorous & high-standard benchmark', 'Conference': 'ICLR 2025', 'Authors': 'Ruizhong Qiu, Weiliang Will Zeng, James Ezick, Christopher Lott, Hanghang Tong', 'Links': '[GitHub] [HuggingFace] [PyPI] [Paper] [Poster] [arXiv]'}, {'Title': 'Model-free graph data selection under distribution shift', 'Conference': 'NeurIPS 2025', 'Authors': 'Ting-Wei Li, Ruizhong Qiu, Hanghang Tong', 'Links': '[arXiv]'}, {'Title': 'Transformer copilot: Learning from the mistake log in LLM fine-tuning', 'Conference': 'NeurIPS 2025 Spotlight', 'Authors': 'Jiaru Zou, Yikun Ban, Zihao Li, Yunzhe Qi, Ruizhong Qiu, Ling Yang, Jingrui He', 'Links': '[arXiv]'}, {'Title': 'Discrete-state continuous-time diffusion for graph generation', 'Conference': 'NeurIPS 2024', 'Authors': 'Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong', 'Links': '[Code] [Paper] [arXiv]'}, {'Title': 'BackTime: Backdoor attacks on multivariate time series forecasting', 'Conference': 'NeurIPS 2024 Spotlight', 'Authors': 'Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong', 'Links': '[Code] [Paper] [arXiv]'}, {'Title': 'DIMES: A differentiable meta solver for combinatorial optimization problems', 'Conference': 'NeurIPS 2022', 'Authors': 'Ruizhong Qiu*, Zhiqing Sun*, Yiming Yang', 'Links': '[Code] [Paper] [Slides] [Poster] [arXiv]'}, {'Title': 'Breaking silos: Adaptive model fusion unlocks better time series forecasting', 'Conference': 'ICML 2025', 'Authors': 'Zhining Liu, Ze Yang, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong', 'Links': '[Code] [Paper] [arXiv]'}, {'Title': 'Gradient compressed sensing: A query-efficient gradient estimator for high-dimensional zeroth-order optimization', 'Conference': 'ICML 2024', 'Authors': 'Ruizhong Qiu, Hanghang Tong', 'Links': '[Code] [Paper] [Poster] [arXiv]'}, {'Title': 'Graph mixup on approximate Gromov–Wasserstein geodesics', 'Conference': 'ICML 2024', 'Authors': 'Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong', 'Links': '[Code] [Paper]'}, {'Title': 'Class-imbalanced graph learning without class rebalancing', 'Conference': 'ICML 2024', 'Authors': 'Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, Hanghang Tong', 'Links': '[Code] [Paper] [arXiv]'}, {'Title': 'TUCKET: A tensor time series data structure for efficient and accurate factor analysis over time ranges', 'Conference': 'VLDB 2025', 'Authors': 'Ruizhong Qiu', 'Links': ''}]
Research Experience
- No detailed information provided
Background
- Research interests: Machine Learning (ML), with a current emphasis on theoretical foundations and methodological advances of language models and generative models.
Miscellany
- No detailed information provided
