| 2026 | ACL | Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text. | Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan |
| 2025 | ACL | MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency. | Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan |
| 2025 | ACL | ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs. | Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan |
| 2025 | CIKM | Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models. | Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan |
| 2025 | CIKM | C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation. | Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan |
| 2025 | EMNLP | Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models. | Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan |
| 2025 | ICML | Automatic Reward Shaping from Confounded Offline Data. | Mingxuan Li, Junzhe Zhang, Elias Bareinboim |
| 2025 | UAI | Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation. | Junzhe Zhang, Elias Bareinboim |
| 2025 | SP | PFortifier: Mitigating PHP Object Injection Through Automatic Patch Generation. | Bo Pang, Yiheng Zhang, Mingzhe Gao, Junzhe Zhang, Ligeng Chen, Mingxue Zhang, Gang Liang |
| 2024 | AAAI | Scores for Learning Discrete Causal Graphs with Unobserved Confounders. | Alexis Bellot, Junzhe Zhang, Elias Bareinboim |
| 2024 | AAAI | Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. | Shalmali Joshi, Junzhe Zhang, Elias Bareinboim |
| 2024 | ICLR | Causally Aligned Curriculum Learning. | Mingxuan Li, Junzhe Zhang, Elias Bareinboim |
| 2023 | ACL | Exploring the Impact of Vision Features in News Image Captioning. | Junzhe Zhang, Xiaojun Wan |
| 2023 | CVPR | Generative Diffusion Prior for Unified Image Restoration and Enhancement. | Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai |
| 2023 | ICCV | DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification. | Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy |
| 2023 | ICLR | Causal Imitation Learning via Inverse Reinforcement Learning. | Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim |
| 2022 | ECCV | ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing. | Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Junzhe Zhang |
| 2022 | ECCV | Monocular 3D Object Reconstruction with GAN Inversion. | Junzhe Zhang, Daxuan Ren, Zhongang Cai, Chai Kiat Yeo, Bo Dai, Chen Change Loy |
| 2022 | ICML | Partial Counterfactual Identification from Observational and Experimental Data. | Junzhe Zhang, Jin Tian, Elias Bareinboim |
| 2022 | IGARSS | Using a Decomposing Method to Analyze the Spatial-Temporal Relationship Between Vegetation Drought and Wildfire in California. | Junzhe Zhang |
| 2022 | IGARSS | Using Drone-Based Remote Sensing Products to Detect Land Surface Conditions in Drylands. | Junzhe Zhang |
| 2021 | AAAI | Bounding Causal Effects on Continuous Outcome. | Junzhe Zhang, Elias Bareinboim |
| 2021 | ACL | Crafting Adversarial Examples for Neural Machine Translation. | Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He |
| 2021 | CVPR | Variational Relational Point Completion Network. | Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu |
| 2021 | CVPR | Unsupervised 3D Shape Completion Through GAN Inversion. | Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy |
| 2021 | ICCV | CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing. | Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi |
| 2021 | IGARSS | Investigated the Cause of Snow Albedo Reduction in the Himalayan Mountains by Using Remotely Sensed Products. | Junzhe Zhang, Xu Xie, Bo Zhou |
| 2021 | WWW | It's Not Just the Site, It's the Contents: Intra-domain Fingerprinting Social Media Websites Through CDN Bursts. | Kailong Wang, Junzhe Zhang, Guangdong Bai, Ryan K. L. Ko, Jin Song Dong |
| 2020 | ECCV | MessyTable: Instance Association in Multiple Camera Views. | Zhongang Cai, Junzhe Zhang, Daxuan Ren, Cunjun Yu, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Chen Change Loy |
| 2020 | ICML | Designing Optimal Dynamic Treatment Regimes: A Causal Reinforcement Learning Approach. | Junzhe Zhang |
| 2018 | AAAI | Fairness in Decision-Making - The Causal Explanation Formula. | Junzhe Zhang, Elias Bareinboim |
| 2018 | UAI | Non-Parametric Path Analysis in Structural Causal Models. | Junzhe Zhang, Elias Bareinboim |
| 2017 | IJCAI | Transfer Learning in Multi-Armed Bandits: A Causal Approach. | Junzhe Zhang, Elias Bareinboim |
| 2012 | IGARSS | Evaluation of similarity measure methods for hyperspectral remote sensing data. | Junzhe Zhang, Wenquan Zhu, Lingli Wang, Nan Jiang |
| 2012 | IGARSS | A phenology-preserving filtering method to reduce noise in NDVI time series. | Nan Jiang, Wenquan Zhu, Minjie Mou, Lingli Wang, Junzhe Zhang |