Research Papers

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

• The Nonstationarity-Complexity Tradeoff in Return Prediction
  Agostino Capponi, Chengpiao Huang, J. Antonio Sidaoui, Kaizheng Wang, Jiacheng Zou (\(\alpha\)-\(\beta\))
  Preprint, 2025   [SSRN]   [arXiv]
  
  

• How Many Human Survey Respondents is a Large Language Model Worth? An Uncertainty Quantification Perspective
  Chengpiao Huang, Yuhang Wu, Kaizheng Wang
  Preprint, 2025   [arXiv]  [Code]
  Preliminary version appeared in International Conference on Machine Learning, 2025
  
  

• Distribution-Free Predictive Inference under Unknown Temporal Drift
  Elise Han, Chengpiao Huang, Kaizheng Wang (\(\alpha\)-\(\beta\))
  Preprint, 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, 2025   [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
  IEEE Transactions on Signal Processing, 2025   [arXiv]
  
  

Technical note:

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