| 2026 | AAAI | Detecting Unobserved Confounders: A Kernelized Regression Approach. | Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang |
| 2026 | AAAI | Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents. | Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang |
| 2026 | AAAI | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2026 | AAAI | Generating Risky Samples with Conformity Constraints via Diffusion Models. | Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui |
| 2026 | WWW | Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference. | Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng, Shixuan Liu |
| 2025 | CVPR | COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. | Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui |
| 2025 | ECAI | GEA: Generation-Enhanced Alignment for Text-to-Image Person Retrieval. | Hao Zou, Runqing Zhang, Xue Zhou, Jianxiao Zou |
| 2025 | EMNLP | FacLens: Transferable Probe for Foreseeing Non-Factuality in Fact-Seeking Question Answering of Large Language Models. | Yanling Wang, Haoyang Li, Hao Zou, Jing Zhang, Xinlei He, Qi Li, Ke Xu |
| 2025 | ICASSP | Gaze-GZ: Generalized Gaze Estimation with Multi-scale Gaze Zone Prediction. | Zheng Gao, Puneet Kumar, Hao Zou, Xiaobai Li |
| 2025 | ICCV | AirCache: Activating Inter-Modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference. | Kai Huang, Hao Zou, Bochen Wang, Ye Xi, Zhen Xie, Hao Wang |
| 2025 | ICICS | Social-Aware and Quality-Driven Incentives for Mobile Crowd-Sensing with Two-Stage Game. | Jun Tao, Hao Zou |
| 2025 | ICLR | Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. | Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang |
| 2025 | ICLR | Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study. | Xingxuan Zhang, Haoran Wang, Jiansheng Li, Yuan Xue, Shikai Guan, Renzhe Xu, Hao Zou, Han Yu, Peng Cui |
| 2025 | IJCNN | Behavior-prompted Learning with Tree Attention for Advanced Facial Action Unit Detection. | Hao Zou, Zheng Gao, Yante Li, Ce Li, Xiaobai Li |
| 2025 | KDD | PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint. | Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui |
| 2025 | WWW | Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. | Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Wenjing Yang, Peng Cui |
| 2025 | TrustCom | Exploring Subtle Manipulation Vulnerabilities in Federated Distillation. | Peiyan Chen, Changsheng Wan, Hao Zou, Tian Wen, Zhiyuan Wu |
| 2024 | ECCV | IVTP: Instruction-Guided Visual Token Pruning for Large Vision-Language Models. | Kai Huang, Hao Zou, Ye Xi, Bochen Wang, Zhen Xie, Liang Yu |
| 2024 | EMNLP | You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions. | Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan L. Boyd-Graber |
| 2024 | ICDM | Learning Feasible Causal Algorithmic Recourse without Prior Structure. | Haotian Wang, Hao Zou, Xueguang Zhou, Shangwen Wang, Long Lan, Wenjing Yang, Peng Cui |
| 2024 | ICML | Domain-wise Data Acquisition to Improve Performance under Distribution Shift. | Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui |
| 2024 | ICML | Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. | Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui |
| 2024 | KDD | Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. | Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui |
| 2023 | CVPR | Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization. | Xingxuan Zhang, Renzhe Xu, Han Yu, Hao Zou, Peng Cui |
| 2023 | ICRA | TransRSS: Transformer-based Radar Semantic Segmentation. | Hao Zou, Zhen Xie, Jiarong Ou, Yutao Gao |
| 2023 | WWW | Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. | Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui |
| 2022 | ECCV | Learning to Train a Point Cloud Reconstruction Network Without Matching. | Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu |
| 2022 | ICML | Counterfactual Prediction for Outcome-Oriented Treatments. | Hao Zou, Bo Li, Jiangang Han, Shuiping Chen, Xuetao Ding, Peng Cui |
| 2022 | WWW | CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. | Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang |
| 2021 | ICCV | RFNet: Recurrent Forward Network for Dense Point Cloud Completion. | Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu |
| 2021 | ICRA | PocoNet: SLAM-oriented 3D LiDAR Point Cloud Online Compression Network. | Jinhao Cui, Hao Zou, Xin Kong, Xuemeng Yang, Xiangrui Zhao, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang |
| 2021 | IROS | Semantic Segmentation-assisted Scene Completion for LiDAR Point Clouds. | Xuemeng Yang, Hao Zou, Xin Kong, Tianxin Huang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang |
| 2021 | IROS | Up-to-Down Network: Fusing Multi-Scale Context for 3D Semantic Scene Completion. | Hao Zou, Xuemeng Yang, Tianxin Huang, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang |
| 2021 | IROS | PointSiamRCNN: Target-aware Voxel-based Siamese Tracker for Point Clouds. | Hao Zou, Chujuan Zhang, Yong Liu, Wanlong Li, Feng Wen, Hongbo Zhang |
| 2020 | IROS | F-Siamese Tracker: A Frustum-based Double Siamese Network for 3D Single Object Tracking. | Hao Zou, Jinhao Cui, Xin Kong, Chujuan Zhang, Yong Liu, Feng Wen, Wanlong Li |
| 2020 | KDD | Learning Stable Graphs from Multiple Environments with Selection Bias. | Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu |
| 2019 | KDD | Focused Context Balancing for Robust Offline Policy Evaluation. | Hao Zou, Kun Kuang, Boqi Chen, Peixuan Chen, Peng Cui |
| 2016 | DATE | Towards automatic diagnosis of minority carriers propagation problems in HV/HT automotive smart power ICs. | Yasser Moursy, Hao Zou, Ramy Iskander, Pierre Tisserand, Dieu-My Ton, Giuseppe Pasetti, Ehrenfried Seebacher, Alexander Steinmair, Thomas Gneiting, Heidrun Alius |
| 2016 | ISCAS | An adaptive mesh refinement strategy of substrate modeling for smart power ICs. | Hao Zou, Yasser Moursy, Ramy Iskander, Jean-Paul Chaput, Marie-Minerve Lourat |
| 2015 | ISCAS | Substrate noise modeling with dedicated CAD framework for smart power ICs. | Hao Zou, Yasser Moursy, Ramy Iskander, Camillo Stefanucci, Pietro Buccella, Maher Kayal, Jean-Michel Sallese |
| 2010 | IWCMC | Low complexity multi-user rate region maximization for frequency-selective interference channel. | Rajatha Raghavendra, Hao Zou, Mohamad Charafeddine, Zhu Han, John M. Cioffi |
| 2008 | ACSSC | Optimal constellation distortion for PAR reduction in MIMO-OFDM systems. | Moshe Malkin, Hao Zou, Alan Malek, John M. Cioffi, Brian S. Krongold |
| 2008 | GLOBECOM | Greener Copper with Dynamic Spectrum Management. | John M. Cioffi, Hao Zou, Aakanksha Chowdhery, Wooyul Lee, Sumanth Jagannathan |
| 2008 | GLOBECOM | Multiuser OFDMA Resource Allocation Algorithms for In-Home Power-Line Communications. | Hao Zou, Sumanth Jagannathan, John M. Cioffi |