Ming Zhang

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

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🏃 Academic Marathon (14) 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (23) 🌟 Keyword Trendsetter Combo (4) 🤝 Dynamic Duo (23) 🏆 Grand Slam 👑 Triple Crown 👥 Mega-Team (20) 🔬 Deep Specialist (14) ❓ The Questioner 🔥 Unstoppable (13) 🚀 Conference Pioneer 💎 Century Club (86) 🗃️ Keyword Collector (61) ⚡ Prolific Year (5)

Conferences

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

Top co-authors

Wei Ju (24) Zhiping Xiao (24) Xiao Luo (21) Junyu Luo (14) Yichun Yin (9) Qi Zhang (8) Yusheng Zhao (8) Yifan Wang (8) Tao Gui (7) Ye Yuan (7)

Research topics

Keywords

large language model (14) graph neural network (14) contrastive learning (6) language model (5) representation learning (4) zero-shot learning (4) transfer learning (4) mathematical reasoning (4) attention mechanism (4) word embedding (4) text generation (3) few-shot learning (3) question answering (3) reinforcement learning (3) ensemble learning (3) semi-supervised learning (3) autonomous driving (3) graph classification (3) dialogue system (3) neural network (3)

Papers

CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 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

What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study AAAI 2026

Embracing Large Language Models in Traffic Flow Forecasting ACL 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification AAAI 2025

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model AAAI 2025

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs AAAI 2025

Attention Bootstrapping for Multi-Modal Test-Time Adaptation AAAI 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

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

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

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation ICML 2025

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025

Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes ICML 2025

ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models ICML 2025

Physical Adversarial Camouflage Through Gradient Calibration and Regularization IJCAI 2025

MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation NAACL 2025

How Do Large Language Models Perform in Dynamical System Modeling NAACL 2025

Semi-supervised Fine-tuning for Large Language Models NAACL 2025

Multi-modal Semantic Understanding with Contrastive Cross-modal Feature Alignment COLING 2024

Measuring Vision-Language STEM Skills of Neural Models ICLR 2024

PGODE: Towards High-quality System Dynamics Modeling ICML 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification ICML 2024

A Survey of Data-Efficient Graph Learning IJCAI 2024

All in One Framework for Multimodal Re-identification in the Wild CVPR 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

Rank and Align: Towards Effective Source-free Graph Domain Adaptation IJCAI 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024

Preparing Lessons for Progressive Training on Language Models AAAI 2024

Measuring Social Norms of Large Language Models NAACL 2024

Motor: Enabling Multi-Versioning for Distributed Transactions on Disaggregated Memory OSDI 2024

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling ICML 2024

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics NIPS 2024

CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition CVPR 2024

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective ICML 2024

HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models EMNLP 2023

A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs NIPS 2023

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation ICLR 2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training ACL 2023

GLCC: A General Framework for Graph-Level Clustering AAAI 2023

Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation NAACL 2022

MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks EMNLP 2022

Focus-Driven Contrastive Learning for Medical Question Summarization COLING 2022

PALT: Parameter-Lite Transfer of Language Models for Knowledge Graph Completion EMNLP 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification IJCAI 2022

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

Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients 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

UniKER: A Unified Framework for Combining Embedding and Definite Horn Rule Reasoning for Knowledge Graph Inference 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

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation ICLR 2020

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction COLING 2020

A Graph to Graphs Framework for Retrosynthesis Prediction ICML 2020

Multi-agent Trajectory Prediction with Fuzzy Query Attention NIPS 2020

Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks ACL 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

Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks IJCAI 2017

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension EMNLP 2017

Socialized Word Embeddings IJCAI 2017

NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings SEMEVAL 2017

CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics NSDI 2017

Diversifying Neural Conversation Model with Maximal Marginal Relevance IJCNLP 2017

StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation IJCAI 2016

Chinese Couplet Generation with Neural Network Structures ACL 2016

Efficiently Delivering Online Services over Integrated Infrastructure NSDI 2016

Dialogue Session Segmentation by Embedding-Enhanced TextTiling INTERSPEECH 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