Selected Publications

✉︎ Corresponding author;  ‡ Equal contribution.

• 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.
• 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), 2025.
• Adjusting Auxiliary Variables Under Approximate Neighborhood Interference
  Xin Lu ^✉︎, Yuhao Wang, Zhiheng Zhang (α-β order). Journal of the American Statistical Association (JASA), 2025 (major 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). Working paper, 2025.
• 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.