Selected Publications

(✉︎) Corresponding author;  (‡) Equal contribution; (α-β order) alphabetical authorship ordering

• Online Experimental Design With Estimation–Regret Trade-off Under Network Interference
  Zhiheng Zhang ^{✉︎ ‡}, Zichen Wang ^‡.
  NeurIPS, 2025. Invited talk at POMSHK2026.
• Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
  Zichen Wang ^‡, Haoyang Hong ^‡, Chuanhao Li, Haoxuan Li, Zhiheng Zhang ^✉︎, Huazheng Wang.
  NeurIPS, 2025. Invited talk at POMSHK2026.
• Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization
  Xinyan Su, Zhiheng Zhang ^✉︎, Jiyan Qiu, Zhaojuan Yue, Jun Li ^✉︎.
  NeurIPS, 2025.
• Active Treatment Effect Estimation via Limited Samples
  Zhiheng Zhang, Haoxiang Wang, Haoxuan Li ^✉︎, Zhouchen Lin ^✉︎.
  ICML, 2025.
• Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders
  Zhiheng Zhang ^✉︎.
  ICML, 2024 (Spotlight, <2%).
• Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming
  Zhiheng Zhang ^✉︎, Xinyan Su.
  UAI, 2024.
• Robust Causal Inference for Recommender System to Overcome Noisy Confounders
  Zhiheng Zhang, Quanyu Dai ^✉︎, Xu Chen, Zhenhua Dong, Ruiming Tang.
  SIGIR, 2023.

• Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming: Extended
  Zhiheng Zhang ^✉︎.
  Informs Journal on Optimization (IJOO), 2026.
• Adjusting Auxiliary Variables Under Approximate Neighborhood Interference
  Xin Lu ^✉︎, Yuhao Wang, Zhiheng Zhang (α-β order).
  Journal of the American Statistical Association (JASA), 2026 (minor revision).
• A Minimax Learning Approach for Causal Inference Under Unmeasured Confounding with Negative Controls
  Nathan Kallus, Xiaojie Mao, Masatoshi Uehara, Zhiheng Zhang (α-β order).
  Journal of Machine Learning Research (JMLR), 2026 (Reject with encouragement to resubmit).

• Group Permutation Testing for Linear Models: Sharp Validity, Power Improvement, and Extension Beyond Exchangeability
  Zonghan Li ^{‡ ✉︎}, Hongyi Zhou ^‡, Zhiheng Zhang ^✉︎.
  Preprint, 2026.
• Budgeted Active Experimentation for Treatment Effect Estimation from Observational and Randomized Data
  Jiacan Gao ^‡, Xinyan Su ^‡, Mingyuan Ma, Yiyan Huang, Xiao Xu, Xinrui Wan, Tianqi Gu, Enyun Yu, Jiecheng Guo, Zhiheng Zhang ^✉︎.
  Preprint, 2026.
• Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments
  Xinyan Su ^‡, Jiacan Gao ^‡, Mingyuan Ma, Xiao Xu, Xinrui Wan, Tianqi Gu, Enyun Yu, Jiecheng Guo, Zhiheng Zhang ^✉︎.
  Preprint, 2026.
• Individualized Causal Effects under Network Interference with Combinatorial Treatments
  Yunping Lu, Haoang Chi, Qirui Hu, Zhiheng Zhang ^✉︎.
  Preprint, 2026.
• Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
  Yuxi Du, Zhiheng Zhang ^✉︎, Haoxuan Li, Cong Fang, Jixing Xu, Peng Zhen, Jiecheng Guo.
  Preprint, 2026.
  
• Bounding the Largest Intersection Number of Regular Simplicial Partitions
  Zhiheng Zhang ^✉︎.
  Working paper, 2025.
• Dynamic Window-level Granger Causality of Multi-channel Time Series
  Zhiheng Zhang, Wenbo Hu ^✉︎, Tian Tian, Jun Zhu.
  Working paper, 2025.

• Causal Inference under Real-world Constraints: Privacy, Robustness, and Pareto Balance
  Zhiheng Zhang, 2025.