Research Papers

(\(\alpha\)-\(\beta\) denotes alphabetical ordering.)

• Uncertainty Quantification for LLM-Based Survey Simulations
  Chengpiao Huang, Yuhang Wu, Kaizheng Wang
  International Conference on Machine Learning, 2025   [arXiv]  [Code]
  
  

• Distribution-Free Predictive Inference under Unknown Temporal Drift
  Elise Han, Chengpiao Huang, Kaizheng Wang (\(\alpha\)-\(\beta\))
  arXiv preprint arXiv:2406.06516, 2024   [arXiv]  [Code]
  
  

• Model Assessment and Selection under Temporal Distribution Shift
  Elise Han, Chengpiao Huang, Kaizheng Wang (\(\alpha\)-\(\beta\))
  International Conference on Machine Learning, 2024   [arXiv]  [Code]
  
  

• A Stability Principle for Learning under Non-Stationarity
  Chengpiao Huang, Kaizheng Wang (\(\alpha\)-\(\beta\))
  Operations Research, Forthcoming   [arXiv]   [Code]
  
  

• Relaxation-Free Min-\(k\)-Partition for PCI Assignment in 5G Networks
  Yeqing Qiu, Chengpiao Huang, Ye Xue, Zhipeng Jiang, Qingjiang Shi, Dong Zhang, Zhi-Quan Luo
  arXiv preprint arXiv:2506.10362, 2025   [arXiv]
  
  

Technical note:

• A Similarity Measure Between Functions with Applications to Statistical Learning and Optimization
  Chengpiao Huang, Kaizheng Wang (\(\alpha\)-\(\beta\))
  arXiv preprint arXiv:2501.08317, 2025   [arXiv]