| 2026 | ACL | Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement. | Zhenxin Qin, Qiang Li, Qingzhuo Wang, Ruiyang Qin, Zhihua Wei, Wen Shen |
| 2026 | ACL | ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging. | Junyao Yang, Chen Qian, Wen Shen, Yong Liu, Jing Shao, Dongrui Liu |
| 2025 | CVPR | A Unified Approach to Interpreting Self-supervised Pre-training Methods for 3D Point Clouds via Interactions. | Qiang Li, Jian Ruan, Fanghao Wu, Yuchi Chen, Zhihua Wei, Wen Shen |
| 2025 | ICCV | Leveraging Debiased Cross-Modal Attention Maps and Code-Based Reasoning for Zero-Shot Referring Expression Comprehension. | Juntao Chen, Wen Shen, Zhihua Wei, Lijun Sun, Hongyun Zhang |
| 2025 | IJCNN | EfficientHuman: Efficient Training and Reconstruction of Moving Human using Articulated 2D Gaussian. | Hao Tian, Rui Liu, Wen Shen, Yilong Hu, Zhihao Zheng, Xiaolin Qin |
| 2025 | IJCNN | StyleCSR: Style-controllable Sequential Recommendation with Prompt Tuning. | Leilei Wen, Qi Shen, Shixuan Zhu, Zhihua Wei, Wen Shen, Lijun Sun |
| 2024 | AAAI | Clarifying the Behavior and the Difficulty of Adversarial Training. | Xu Cheng, Hao Zhang, Yue Xin, Wen Shen, Quanshi Zhang |
| 2024 | AAAI | Batch Normalization Is Blind to the First and Second Derivatives of the Loss. | Zhanpeng Zhou, Wen Shen, Huixin Chen, Ling Tang, Yuefeng Chen, Quanshi Zhang |
| 2024 | AAAI | Explaining Generalization Power of a DNN Using Interactive Concepts. | Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang |
| 2024 | ICLR | Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs. | Qihan Ren, Jiayang Gao, Wen Shen, Quanshi Zhang |
| 2023 | ICML | Defects of Convolutional Decoder Networks in Frequency Representation. | Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang |
| 2021 | CVPR | Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing. | Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang |
| 2021 | IJCAI | Interpretable Compositional Convolutional Neural Networks. | Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Jiaqi Fan, Ping Zhao, Quanshi Zhang |
| 2020 | ECCV | 3D-Rotation-Equivariant Quaternion Neural Networks. | Wen Shen, Binbin Zhang, Shikun Huang, Zhihua Wei, Quanshi Zhang |
| 2019 | AAAI | Multi-Winner Contests for Strategic Diffusion in Social Networks. | Wen Shen, Yang Feng, Cristina V. Lopes |
| 2019 | CVPR | Explaining the PointNet: What Has Been Learned Inside the PointNet? | Binbin Zhang, Shikun Huang, Wen Shen, Zhihua Wei |
| 2019 | WSC | A Simulation Analysis of Large Contests with Thresholding Agents. | Wen Shen, Rohan Achar, Cristina V. Lopes |
| 2018 | WSC | Toward Understanding the Impact of User Participation in Autonomous Ridesharing Systems. | Wen Shen, Rohan Achar, Cristina V. Lopes |
| 2017 | HAI | Regulating Highly Automated Robot Ecologies: Insights from Three User Studies. | Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi, Wael Al Enezi, Iyad Rahwan, Jacob W. Crandall |
| 2016 | IJCAI | An Online Mechanism for Ridesharing in Autonomous Mobility-on-Demand Systems. | Wen Shen, Cristina V. Lopes, Jacob W. Crandall |
| 2015 | PRIMA | Managing Autonomous Mobility on Demand Systems for Better Passenger Experience. | Wen Shen, Cristina V. Lopes |
| 2015 | SMC | Multiple Granular Analysis of TCM Data with Applications on Diagnosis of Hepatitis B. | Wen Shen, Zhihua Wei, Yunyi Li, Hua Zhang, Ping Liu |