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Jie Ma

37 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (6) 🌍 Conference Polyglot (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9)
🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (89) πŸ† Grand Slam 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable (7) ❓ The Questioner πŸ’Ž Century Club (35) πŸ—ƒοΈ Keyword Collector (167) ⚑ 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)

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