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Ming Zhang

96 papers · 2011–2026 · 16 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (23) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird
🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (23) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (23) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (14) ❓ The Questioner πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer πŸ’Ž Century Club (86) πŸ—ƒοΈ Keyword Collector (61) ⚑ Prolific Year (5)

Conferences

ACL (17) EMNLP (14) AAAI (13) IJCAI (12) ICML (11) NAACL (5) CVPR (4) ICLR (4) COLING (3) ICCV (3) NIPS (3) NSDI (3) IJCNLP (1) INTERSPEECH (1) OSDI (1) SEMEVAL (1)

Research topics

Papers

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study AAAI 2026 VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training ACL 2026 A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions ACL 2026 CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026 SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models ACL 2026 LLMEval-Fair: A Large-Scale Longitudinal Study on Robust and Fair Evaluation of Large Language Models ACL 2026 Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4 ACL 2026 MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026 Beyond Scaling: Measuring and Predicting the Upper Bound of Knowledge Retention in Language Model Pre-Training ACL 2026 Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination AAAI 2026 ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models ICML 2025 Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes ICML 2025 Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification ACL 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation ACL 2025 A Survey on Efficient Large Language Model Training: From Data-centric Perspectives ACL 2025 PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025 Embracing Large Language Models in Traffic Flow Forecasting ACL 2025 DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation ICML 2025 Cluster-guided Contrastive Class-imbalanced Graph Classification AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Semi-supervised Fine-tuning for Large Language Models NAACL 2025 How Do Large Language Models Perform in Dynamical System Modeling NAACL 2025 MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025 GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model AAAI 2025 Attention Bootstrapping for Multi-Modal Test-Time Adaptation AAAI 2025 TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025 Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025 HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning EMNLP 2025 A Survey of RAG-Reasoning Systems in Large Language Models EMNLP 2025 Physical Adversarial Camouflage Through Gradient Calibration and Regularization IJCAI 2025 3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation ICCV 2025 Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion ICCV 2025 SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision ICLR 2025 Preparing Lessons for Progressive Training on Language Models AAAI 2024 PGODE: Towards High-quality System Dynamics Modeling ICML 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective ICML 2024 ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling ICML 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024 Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment COLING 2024 CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition CVPR 2024 All in One Framework for Multimodal Re-identification in the Wild CVPR 2024 Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory OSDI 2024 Measuring Social Norms of Large Language Models NAACL 2024 EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics NIPS 2024 TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 A Survey of Data-Efficient Graph Learning IJCAI 2024 Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024 Measuring Vision-Language STEM Skills of Neural Models ICLR 2024 Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024 GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation ICLR 2023 A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NIPS 2023 GLCC: A General Framework for Graph-Level Clustering AAAI 2023 MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023 TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models EMNLP 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation AAAI 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients IJCAI 2022 TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022 Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation NAACL 2022 PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022 MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks EMNLP 2022 Buffer-based End-to-end Request Event Monitoring in the Cloud NSDI 2022 Focus-Driven Contrastive Learning for Medical Question Summarization COLING 2022 UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference EMNLP 2021 Graphine: A Dataset for Graph-aware Terminology Definition Generation EMNLP 2021 RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union CVPR 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation CVPR 2021 Generate & Rank: A Multi-task Framework for Math Word Problems EMNLP 2021 Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 2020 A Graph to Graphs Framework for Retrosynthesis Prediction ICML 2020 Multi-agent Trajectory Prediction with Fuzzy Query Attention NIPS 2020 GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020 PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction COLING 2020 Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision ICCV 2019 An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems IJCAI 2018 Socialized Word Embeddings IJCAI 2017 Diversifying Neural Conversation Model with Maximal Marginal Relevance IJCNLP 2017 CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017 NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017 Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017 Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017 Dialogue Session Segmentation by Embedding-Enhanced TextTiling INTERSPEECH 2016 Chinese Couplet Generation with Neural Network Structures ACL 2016 StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation IJCAI 2016 Efficiently Delivering Online Services over Integrated Infrastructure NSDI 2016 Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction IJCAI 2016 Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations IJCAI 2015 Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost versus Quality via a PageRank-HITS Hybrid Model IJCAI 2015 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis ICML 2014 Paraphrasing Adaptation for Web Search Ranking ACL 2013 A Fast and Accurate Method for Approximate String Search ACL 2011