Ma, Jiaqi

36 publications

NeurIPS 2025 AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning Zewei Zhou, Tianhui Cai, Seth Z. Zhao, Yun Zhang, Zhiyu Huang, Bolei Zhou, Jiaqi Ma

AAAI 2025 Data Attribution: A Data-Centric Approach for Trustworthy AI Development Jiaqi Ma

ICCV 2025 TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction Zewei Zhou, Seth Z. Zhao, Tianhui Cai, Zhiyu Huang, Bolei Zhou, Jiaqi Ma

NeurIPS 2025 V2X-Radar: A Multi-Modal Dataset with 4D Radar for Cooperative Perception Lei Yang, Xinyu Zhang, Jun Li, Chen Wang, Jiaqi Ma, Zhiying Song, Tong Zhao, Ziying Song, Li Wang, Mo Zhou, Yang Shen, Kai Wu, Chen Lv

ICCV 2025 V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction Zewei Zhou, Hao Xiang, Zhaoliang Zheng, Seth Z. Zhao, Mingyue Lei, Yun Zhang, Tianhui Cai, Xinyi Liu, Johnson Liu, Maheswari Bajji, Xin Xia, Zhiyu Huang, Bolei Zhou, Jiaqi Ma

TMLR 2024 Can LLMs Effectively Leverage Graph Structural Information Through Prompts, and Why? Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

ICLRW 2024 Computational Copyright: Towards a Royalty Model for AI Music Generation Platforms Junwei Deng, Jiaqi Ma

AISTATS 2024 Fair Machine Unlearning: Data Removal While Mitigating Disparities Alex Oesterling, Jiaqi Ma, Flavio Calmon, Himabindu Lakkaraju

ECCV 2024 V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception Hao Xiang, Xin Xia, Zhaoliang Zheng, Runsheng Xu, Letian Gao, Zewei Zhou, Xu Han, Xinkai Ji, Mingxi Li, Zonglin Meng, Li Jin, Mingyue Lei, Zhaoyang Ma, Zihang He, Haoxuan Ma, Yunshuang Yuan, Yingqian Zhao, Jiaqi Ma

NeurIPS 2023 A Metadata-Driven Approach to Understand Graph Neural Networks Ting Wei Li, Qiaozhu Mei, Jiaqi Ma

ICMLW 2023 Accurate, Explainable, and Private Models: Providing Recourse While Minimizing Training Data Leakage Catherine Huang, Chelse Swoopes, Christina Xiao, Jiaqi Ma, Himabindu Lakkaraju

ICMLW 2023 Analyzing Chain-of-Thought Prompting in Large Language Models via Gradient-Based Feature Attributions Skyler Wu, Eric Meng Shen, Charumathi Badrinath, Jiaqi Ma, Himabindu Lakkaraju

NeurIPSW 2023 Can LLMs Effectively Leverage Graph Structural Information: When and Why Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma

WACV 2023 Domain Adaptive Object Detection for Autonomous Driving Under Foggy Weather Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu

ICCV 2023 HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer Hao Xiang, Runsheng Xu, Jiaqi Ma

ICLR 2023 How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

NeurIPSW 2023 Investigating the Fairness of Large Language Models for Predictions on Tabular Data Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju

ICCV 2023 Optimizing the Placement of Roadside LiDARs for Autonomous Driving Wentao Jiang, Hao Xiang, Xinyu Cai, Runsheng Xu, Jiaqi Ma, Yikang Li, Gim Hee Lee, Si Liu

TMLR 2023 Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei

WACV 2023 Pik-Fix: Restoring and Colorizing Old Photos Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan Bovik, Hongkai Yu

NeurIPS 2023 Post Hoc Explanations of Language Models Can Improve Language Models Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, Himabindu Lakkaraju

ICML 2023 Towards Bridging the Gaps Between the Right to Explanation and the Right to Be Forgotten Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju

CVPR 2023 V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception Runsheng Xu, Xin Xia, Jinlong Li, Hanzhao Li, Shuo Zhang, Zhengzhong Tu, Zonglin Meng, Hao Xiang, Xiaoyu Dong, Rui Song, Hongkai Yu, Bolei Zhou, Jiaqi Ma

CoRL 2022 CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma

LoG 2022 Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei

ICMLW 2022 How Much of the Chemical Space Has Been Explored? Selecting the Right Exploration Measure for Drug Discovery Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei

JMLR 2022 SODEN: A Scalable Continuous-Time Survival Model Through Ordinary Differential Equation Networks Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu

ECCV 2022 V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma

AISTATS 2021 Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed Chi, Qiaozhu Mei

ICLR 2021 CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei

CVPR 2021 Pseudo Facial Generation with Extreme Poses for Face Recognition Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou

NeurIPS 2021 Subgroup Generalization and Fairness of Graph Neural Networks Jiaqi Ma, Junwei Deng, Qiaozhu Mei

NeurIPS 2020 Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei

NeurIPS 2019 A Flexible Generative Framework for Graph-Based Semi-Supervised Learning Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei

IJCAI 2019 Pseudo Supervised Matrix Factorization in Discriminative Subspace Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao

AAAI 2019 SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning Jiaqi Ma, Zhe Zhao, Jilin Chen, Ang Li, Lichan Hong, Ed H. Chi