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Ming Zhang

98 papers · 2011–2026 · 16 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+15 more ↓ πŸ—ΊοΈ Taxonomy Completionist (135) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Full πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
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Papers

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