Jiaqi Ma
27 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Conference Polyglot (13) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Academic Marathon
(6)
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(40)
π§¬
Topic Evolution
π
Triple Crown
π
Keyword Champion
(2)
π
Grand Slam
ποΈ
Keyword Collector
(112)
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Century Club
(26)
π₯
Unstoppable
(7)
β
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
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 Birdβs 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