| 2026 | AAAI | Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning. | Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Xu Han, Zhiyu Huang, Jiaqi Ma |
| 2026 | ISCAS | Adaptive-Fusion Particle Filter with Distributed Resampling and Dynamic Particle Scaling. | Shuanglong Liu, Xiaowei Wang, Botong Zhou, Wenjun Luo, Jia Liu, Jiaqi Ma |
| 2026 | KSEM | M | Fuji Fu, Jinfu Yang, Jiaqi Ma |
| 2025 | AAAI | Data Attribution: A Data-Centric Approach for Trustworthy AI Development. | Jiaqi Ma |
| 2025 | ICCV | 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 |
| 2025 | ICCV | 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 |
| 2025 | ICRA | Traffic Regulation-aware Path Planning with Regulation Databases and Vision-Language Models. | Xu Han, Zhiwen Wu, Xin Xia, Jiaqi Ma |
| 2025 | IROS | CooperRisk: A Driving Risk Quantification Pipeline with Multi-Agent Cooperative Perception and Prediction. | Mingyue Lei, Zewei Zhou, Hongchen Li, Jia Hu, Jiaqi Ma |
| 2025 | IROS | CooPre: Cooperative Pretraining for V2X Cooperative Perception. | Seth Z. Zhao, Hao Xiang, Chenfeng Xu, Xin Xia, Bolei Zhou, Jiaqi Ma |
| 2025 | TrustCom | TLSA: Transfer Learning Enhanced Link Stealing Attacks on Graph Neural Networks. | Zhenkun Jin, Jiaqi Ma, Yuanyuan He, Wei Xiang, Qiankun Zhang, Tao Zhang |
| 2024 | AISTATS | Fair Machine Unlearning: Data Removal while Mitigating Disparities. | Alex Oesterling, Jiaqi Ma, Flvio P. Calmon, Himabindu Lakkaraju |
| 2024 | ANT | Multi-Agent Multimodal Transportation Simulation for Mega-cities: Application of Los Angeles. | Brian Yueshuai He, Qinhua Jiang, Haoxuan Ma, Jiaqi Ma |
| 2024 | ECCV | V2X-Real: A Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception. | Hao Xiang, Zhaoliang Zheng, Xin Xia, 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 |
| 2024 | HPCC | Multi-View Tri-Alignment Multi-Expert for Multi-Domain Fake News Detection. | Ruolei Yi, Zhenkun Jin, Kai Cui, Xinlei Zhou, Jiaqi Ma |
| 2024 | ICRA | Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources. | Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu |
| 2024 | ICRA | S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality. | Jinlong Li, Runsheng Xu, Xinyu Liu, Baolu Li, Qin Zou, Jiaqi Ma, Hongkai Yu |
| 2024 | ISPA | AcVerifier: Cross-Domain Access Control Verification via Hybrid Static and Dynamic Analysis. | Jie Zhang, Yuanyuan He, Miao Hu, Xinwei Yu, Tingting Guo, Xiangyu Gao, Jiaqi Ma |
| 2024 | NAACL | Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications. | Yanchen Liu, Srishti Gautam, Jiaqi Ma, Himabindu Lakkaraju |
| 2023 | CVPR | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer. | Hao Xiang, Runsheng Xu, Jiaqi Ma |
| 2023 | ICLR | 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 |
| 2023 | ICML | Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten. | Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju |
| 2023 | ICONIP | Multi-scale Structural Asymmetric Convolution for Wireframe Parsing. | Jiahui Zhang, Jinfu Yang, Fuji Fu, Jiaqi Ma |
| 2023 | ICRA | Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library. | Xinyu Cai, Wentao Jiang, Runsheng Xu, Wenquan Zhao, Jiaqi Ma, Si Liu, Yikang Li |
| 2023 | ICRA | V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perception. | Hao Xiang, Runsheng Xu, Xin Xia, Zhaoliang Zheng, Bolei Zhou, Jiaqi Ma |
| 2023 | ICRA | Model-Agnostic Multi-Agent Perception Framework. | Runsheng Xu, Weizhe Chen, Hao Xiang, Xin Xia, Lantao Liu, Jiaqi Ma |
| 2023 | ICRA | Bridging the Domain Gap for Multi-Agent Perception. | Runsheng Xu, Jinlong Li, Xiaoyu Dong, Hongkai Yu, Jiaqi Ma |
| 2023 | KDD | The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). | Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik |
| 2023 | WACV | Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather. | Jinlong Li, Runsheng Xu, Jin Ma, Qin Zou, Jiaqi Ma, Hongkai Yu |
| 2023 | WACV | Pik-Fix: Restoring and Colorizing Old Photos. | Runsheng Xu, Zhengzhong Tu, Yuanqi Du, Xiaoyu Dong, Jinlong Li, Zibo Meng, Jiaqi Ma, Alan C. Bovik, Hongkai Yu |
| 2022 | CoRL | CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers. | Runsheng Xu, Zhengzhong Tu, Hao Xiang, Wei Shao, Bolei Zhou, Jiaqi Ma |
| 2022 | ECCV | V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer. | Runsheng Xu, Hao Xiang, Zhengzhong Tu, Xin Xia, Ming-Hsuan Yang, Jiaqi Ma |
| 2022 | ICRA | OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication. | Runsheng Xu, Hao Xiang, Xin Xia, Xu Han, Jinlong Li, Jiaqi Ma |
| 2022 | NDSS | Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks. | Ziwen Wan, Junjie Shen, Jalen Chuang, Xin Xia, Joshua Garcia, Jiaqi Ma, Qi Alfred Chen |
| 2022 | WSDM | Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. | Jiaqi Ma, Junwei Deng, Qiaozhu Mei |
| 2022 | WSDM | Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. | Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei |
| 2021 | AISTATS | Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. | Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei |
| 2021 | CVPR | Pseudo Facial Generation With Extreme Poses for Face Recognition. | Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou |
| 2021 | ICLR | CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. | Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei |
| 2021 | RecSys | GReS: Workshop on Graph Neural Networks for Recommendation and Search. | Thibaut Thonet, Stphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
| 2020 | WWW | Off-policy Learning in Two-stage Recommender Systems. | Jiaqi Ma, Zhe Zhao, Xinyang Yi, Ji Yang, Minmin Chen, Jiaxi Tang, Lichan Hong, Ed H. Chi |
| 2019 | AAAI | 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 |
| 2019 | IJCAI | Pseudo Supervised Matrix Factorization in Discriminative Subspace. | Jiaqi Ma, Yipeng Zhang, Lefei Zhang, Bo Du, Dapeng Tao |
| 2018 | KDD | Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts. | Jiaqi Ma, Zhe Zhao, Xinyang Yi, Jilin Chen, Lichan Hong, Ed H. Chi |
| 2017 | WWW | DeepCas: An End-to-end Predictor of Information Cascades. | Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei |
| 2016 | KDD | Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. | Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu |
| 2014 | HIC | Description and analysis of design and intended use for Epidemiologic Dynamic Data Collection Platform in China. | Xiaopeng Qi, Nilva Egana, Yujie Meng, Qianqian Chen, Zhiyong Peng, Jiaqi Ma |