Jie Ma
37 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(89)
π
Grand Slam
π§¬
Topic Evolution
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Conference Pioneer
π₯
Unstoppable
(7)
β
The Questioner
π
Century Club
(35)
ποΈ
Keyword Collector
(167)
β‘
Prolific Year
(5)
Conferences
AAAI (6)
EMNLP (5)
ACL (4)
CVPR (4)
IJCAI (4)
NIPS (4)
ICML (3)
EACL (2)
ICCV (2)
ICLR (2)
COLING (1)
Top co-authors
Keywords
representation learning
(5)
knowledge distillation
(4)
multimodal learning
(4)
unsupervised learning
(3)
transfer learning
(3)
semi-supervised learning
(3)
contrastive learning
(2)
federated learning
(2)
neural network
(2)
autonomous driving
(2)
3d object detection
(2)
soft label
(2)
few-shot learning
(2)
named entity recognition
(2)
natural language inference
(2)
deep neural network
(2)
temporal modeling
(1)
zero-shot learning
(1)
neural network training
(1)
multi-task learning
(1)
Papers
Detecting Training Data of Large Language Models via Expectation Maximization
EACL 2026
SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries
AAAI 2026
Active Evaluation Acquisition for Efficient LLM Benchmarking
ICML 2025
FASTer: Focal token Acquiring-and-Scaling Transformer for Long-term 3D Objection Detection
CVPR 2025
Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics
ICML 2025
Unraveling and Mitigating Safety Alignment Degradation of Vision-Language Models
ACL 2025
Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning
IJCAI 2025
Top-I2P: Explore Open-Domain Image-to-Point Cloud Registration Using Topology Relationship
IJCAI 2025
SDGOCC: Semantic and Depth-Guided Bird's-Eye View Transformation for 3D Multimodal Occupancy Prediction
CVPR 2025
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
AAAI 2025
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection
AAAI 2025
Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
AAAI 2025
Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
IJCAI 2025
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
ICML 2024
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning
CVPR 2024
Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
NIPS 2024
IR-CM: The Fast and General-purpose Image Restoration Method Based on Consistency Model
NIPS 2024
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
EACL 2023
Structured Federated Learning through Clustered Additive Modeling
NIPS 2023
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
ACL 2023
Benchmarking Diverse-Modal Entity Linking with Generative Models
ACL 2023
Taxonomy Expansion for Named Entity Recognition
EMNLP 2023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages
EMNLP 2023
Enhanced Soft Label for Semi-Supervised Semantic Segmentation
ICCV 2023
Distribution Aware VoteNet for 3D Object Detection
AAAI 2022
Pareto Policy Pool for Model-based Offline Reinforcement Learning
ICLR 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
NIPS 2022
Label Semantics for Few Shot Named Entity Recognition
ACL 2022
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
CVPR 2021
Feature Interactive Representation for Point Cloud Registration
ICCV 2021
Structured Prediction as Translation between Augmented Natural Languages
ICLR 2021
When and Who? Conversation Transition Based on Bot-Agent Symbiosis Learning Network
COLING 2020
Resource-Enhanced Neural Model for Event Argument Extraction
EMNLP 2020
Severing the Edge Between Before and After: Neural Architectures for Temporal Ordering of Events
EMNLP 2020
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
IJCAI 2020
To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging
EMNLP 2020
A General Planning-Based Framework for Goal-Driven Conversation Assistant
AAAI 2019