Ming Zhang
96 papers · 2011–2026 · 16 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (23) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) π£ Hot Topic Early Bird
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Dynamic Duo
(23)
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Mega-Team
(20)
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(14)
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The Questioner
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Conference Pioneer
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Century Club
(86)
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Keyword Collector
(61)
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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)
Top co-authors
Research topics
Keywords
large language model
(18)
graph neural network
(14)
contrastive learning
(6)
language model
(5)
reinforcement learning
(5)
representation learning
(4)
question answering
(4)
zero-shot learning
(4)
word embedding
(4)
mathematical reasoning
(4)
attention mechanism
(4)
transfer learning
(4)
text generation
(3)
few-shot learning
(3)
semi-supervised learning
(3)
autonomous driving
(3)
ensemble learning
(3)
graph classification
(3)
dialogue system
(3)
neural network
(3)
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