← Authors

Jiaqi Ma

27 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (6) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (40) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (112) ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ’Ž Century Club (26) πŸ”₯ Unstoppable (7) ❓ The Questioner

Conferences

NIPS (5) ICCV (4) AAAI (3) AISTATS (2) CVPR (2) ECCV (2) ICLR (2) WACV (2) CORL (1) ICML (1) IJCAI (1) JMLR (1) NAACL (1)

Top co-authors

Runsheng Xu (8) Qiaozhu Mei (8) Hao Xiang (7) Xin Xia (4) Zewei Zhou (4) Zhengzhong Tu (4) Himabindu Lakkaraju (4) Bolei Zhou (4) Hongkai Yu (3) Zhiyu Huang (3)

Keywords

graph neural network (5) cooperative perception (5) domain adaptation (3) multi-agent perception (3) autonomous driving (3) 3d object detection (2) multi-task learning (2) data deletion (2) large language model (2) vehicle-to-vehicle communication (2) semi-supervised learning (2) right to be forgotten (2) neural network (2) object detection (1) subspace learning (1) image generation (1) label propagation (1) manifold regularization (1) adversarial learning (1) image restoration (1)

Papers

Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning AAAI 2026
Data Attribution: A Data-Centric Approach for Trustworthy AI Development AAAI 2025
TurboTrain: Towards Efficient and Balanced Multi-Task Learning for Multi-Agent Perception and Prediction ICCV 2025
V2XPnP: Vehicle-to-Everything Spatio-Temporal Fusion for Multi-Agent Perception and Prediction ICCV 2025
V2X-Real: a Largs-Scale Dataset for Vehicle-to-Everything Cooperative Perception ECCV 2024
Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications NAACL 2024
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules ICLR 2023
Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten ICML 2023
Domain Adaptive Object Detection for Autonomous Driving Under Foggy Weather WACV 2023
A Metadata-Driven Approach to Understand Graph Neural Networks NIPS 2023
Post Hoc Explanations of Language Models Can Improve Language Models NIPS 2023
Pik-Fix: Restoring and Colorizing Old Photos WACV 2023
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception CVPR 2023
HM-ViT: Hetero-Modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer ICCV 2023
Optimizing the Placement of Roadside LiDARs for Autonomous Driving ICCV 2023
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks JMLR 2022
CoBEVT: Cooperative Bird’s Eye View Semantic Segmentation with Sparse Transformers CORL 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer ECCV 2022
Subgroup Generalization and Fairness of Graph Neural Networks NIPS 2021
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model AISTATS 2021
Pseudo Facial Generation With Extreme Poses for Face Recognition CVPR 2021
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks ICLR 2021
Towards More Practical Adversarial Attacks on Graph Neural Networks NIPS 2020
Pseudo Supervised Matrix Factorization in Discriminative Subspace IJCAI 2019
A Flexible Generative Framework for Graph-based Semi-supervised Learning NIPS 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019