Min Yang
176 papers · 2010–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (31) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (14)
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Conference Polyglot
(14)
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Renaissance Researcher
(13)
πΊοΈ
Taxonomy Completionist
(31)
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Conference Loyalist
(32)
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Deep Specialist
(26)
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Topic Evolution
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Keyword Champion
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Grand Slam
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Mega-Team
(28)
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Dynamic Duo
(56)
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Trend Setter
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Conference Pioneer
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Unstoppable
(9)
β
The Questioner
(2)
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Century Club
(168)
ποΈ
Keyword Collector
(88)
β‘
Prolific Year
(15)
Conferences
ACL (50)
AAAI (35)
EMNLP (33)
COLING (18)
CVPR (8)
IJCNLP (8)
IJCAI (7)
ICCV (4)
NIPS (4)
NAACL (3)
ICLR (2)
ICML (2)
EACL (1)
ECCV (1)
Top co-authors
Research topics
Keywords
large language model
(34)
neural network
(12)
contrastive learning
(11)
attention mechanism
(11)
dialogue system
(9)
sentiment analysis
(8)
multi-task learning
(8)
knowledge distillation
(7)
knowledge base
(7)
reinforcement learning
(7)
benchmark evaluation
(7)
task-oriented dialogue
(7)
language model
(6)
representation learning
(6)
question answering
(6)
knowledge graph
(6)
text summarization
(6)
graph neural network
(6)
stance detection
(5)
deep neural network
(5)
Papers
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
ACL 2026
Reasoning While Asking: Transforming Reasoning Large Language Models from Passive Solvers to Proactive Inquirers
ACL 2026
Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning
ACL 2026
Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity
ACL 2026
Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates
AAAI 2026
ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments
ACL 2026
SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse
AAAI 2026
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
AAAI 2026
CLaSp: In-Context Layer Skip for Self-Speculative Decoding
ACL 2025
OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction
ACL 2025
Can MLLMs Understand the Deep Implication Behind Chinese Images?
ACL 2025
Learning First-Order Logic Rules for Argumentation Mining
ACL 2025
Quantification of Large Language Model Distillation
ACL 2025
Synthesizing Software Engineering Data in a Test-Driven Manner
ICML 2025
InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
ICML 2025
DEEM: Diffusion models serve as the eyes of large language models for image perception
ICLR 2025
MobileViCLIP: An Efficient Video-Text Model for Mobile Devices
ICCV 2025
FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
ICCV 2025
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
COLING 2025
PEToolLLM: Towards Personalized Tool Learning in Large Language Models
ACL 2025
STORYTELLER: An Enhanced Plot-Planning Framework for Coherent and Cohesive Story Generation
ACL 2025
Data Interpreter: An LLM Agent for Data Science
ACL 2025
MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct
ACL 2025
Detect-and-Guide: Self-regulation of Diffusion Models for Safe Text-to-Image Generation via Guideline Token Optimization
CVPR 2025
Training on the Benchmark Is Not All You Need
AAAI 2025
A New Formula for Sticker Retrieval: Reply with Stickers in Multi-Modal and Multi-Session Conversation
AAAI 2025
Fine-Tuning Language Models with Collaborative and Semantic Experts
AAAI 2025
Hierarchical Context Pruning: Optimizing Real-World Code Completion with Repository-Level Pretrained Code LLMs
AAAI 2025
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework
EMNLP 2025
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation
EMNLP 2025
Forget for Get: A Lightweight Two-phase Gradient Method for Knowledge Editing in Large Language Models
EMNLP 2025
Expanding before Inferring: Enhancing Factuality in Large Language Models through Premature Layers Interpolation
EMNLP 2025
CTR-Guided Generative Query Suggestion in Conversational Search
EMNLP 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
Exploring the Impact of Personality Traits on LLM Bias and Toxicity
EMNLP 2025
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
NAACL 2025
Unsupervised Speech-text word-level alignment with Dynamic Programming
NAACL 2025
CAN-ST: Clustering Adaptive Normalization for Spatio-temporal OOD Learning
IJCAI 2025
LIME: Less Is More for MLLM Evaluation
ACL 2025
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
ACL 2025
Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models
COLING 2024
PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference
CVPR 2024
Navigate Beyond Shortcuts: Debiased Learning Through the Lens of Neural Collapse
CVPR 2024
3D Geometry-Aware Deformable Gaussian Splatting for Dynamic View Synthesis
CVPR 2024
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification
CVPR 2024
Adapting Short-Term Transformers for Action Detection in Untrimmed Videos
CVPR 2024
CPPO: Continual Learning for Reinforcement Learning with Human Feedback
ICLR 2024
II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models
NIPS 2024
DiffusionTrack: Diffusion Model for Multi-Object Tracking
AAAI 2024
Urban Region Embedding via Multi-View Contrastive Prediction
AAAI 2024
RRL: Recommendation Reverse Learning
AAAI 2024
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis
AAAI 2024
DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment
EMNLP 2024
Multiple Knowledge-Enhanced Interactive Graph Network for Multimodal Conversational Emotion Recognition
EMNLP 2024
Ruler: A Model-Agnostic Method to Control Generated Length for Large Language Models
EMNLP 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models
ACL 2024
PITA: Prompting Task Interaction for Argumentation Mining
ACL 2024
Marathon: A Race Through the Realm of Long Context with Large Language Models
ACL 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models
ACL 2024
Synthesizing Text-to-SQL Data from Weak and Strong LLMs
ACL 2024
Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models
ACL 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training
ACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models
ACL 2024
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
ACL 2024
E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models
ACL 2024
Discourse Structure-Aware Prefix for Generation-Based End-to-End Argumentation Mining
ACL 2024
Decomposing Argumentative Essay Generation via Dialectical Planning of Complex Reasoning
ACL 2024
Multi-modal Stance Detection: New Datasets and Model
ACL 2024
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
ACL 2024
NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language Models
ACL 2024
Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA
EMNLP 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
EMNLP 2024
XinHai@CLPsych 2024 Shared Task: Prompting Healthcare-oriented LLMs for Evidence Highlighting in Posts with Suicide Risk
EACL 2024
A Challenge Dataset and Effective Models for Conversational Stance Detection
COLING 2024
CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment
COLING 2024
Layer-wise Regularized Dropout for Neural Language Models
COLING 2024
MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property
COLING 2024
TP-Link: Fine-grained Pre-Training for Text-to-SQL Parsing with Linking Information
COLING 2024
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning
AAAI 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems
AAAI 2023
Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary
AAAI 2023
CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision
ICCV 2023
Rethinking Feature-Based Knowledge Distillation for Face Recognition
CVPR 2023
In-context Learning for Few-shot Multimodal Named Entity Recognition
EMNLP 2023
Reducing Spurious Correlations in Aspect-based Sentiment Analysis with Explanation from Large Language Models
EMNLP 2023
Stance Detection on Social Media with Background Knowledge
EMNLP 2023
A Training-Free Debiasing Framework with Counterfactual Reasoning for Conversational Emotion Detection
EMNLP 2023
Black-Box Adversarial Attack on Time Series Classification
AAAI 2023
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
CVPR 2023
Context or Knowledge is Not Always Necessary: A Contrastive Learning Framework for Emotion Recognition in Conversations
ACL 2023
Probing Graph Decomposition for Argument Pair Extraction
ACL 2023
Topic-Guided Self-Introduction Generation for Social Media Users
ACL 2023
SlowBERT: Slow-down Attacks on Input-adaptive Multi-exit BERT
ACL 2023
Focal Training and Tagger Decouple for Grammatical Error Correction
ACL 2023
PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts
ACL 2023
Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment
ACL 2023
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)
AAAI 2023
Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing
COLING 2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
NIPS 2022
House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography
NIPS 2022
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection
AAAI 2022
JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection
ACL 2022
Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network
ACL 2022
SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding
COLING 2022
Dependency-aware Prototype Learning for Few-shot Relation Classification
COLING 2022
SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers
COLING 2022
Modeling Intra- and Inter-Modal Relations: Hierarchical Graph Contrastive Learning for Multimodal Sentiment Analysis
COLING 2022
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
ECCV 2022
Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction
EMNLP 2022
SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis
EMNLP 2022
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism
EMNLP 2022
STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing
EMNLP 2022
Self-Distillation with Meta Learning for Knowledge Graph Completion
EMNLP 2022
Probing Structural Knowledge from Pre-trained Language Model for Argumentation Relation Classification
EMNLP 2022
DOLG: Single-Stage Image Retrieval With Deep Orthogonal Fusion of Local and Global Features
ICCV 2021
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems
ACL 2021
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis
ACL 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
ACL 2021
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews
ACL 2021
Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph
EMNLP 2021
A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems
IJCNLP 2021
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis
IJCNLP 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking
IJCNLP 2021
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews
IJCNLP 2021
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning
AAAI 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021
Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge
EMNLP 2021
Progressive Self-Training with Discriminator for Aspect Term Extraction
EMNLP 2021
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing
EMNLP 2021
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement
AAAI 2021
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning
AAAI 2021
BERT-EMD: Many-to-Many Layer Mapping for BERT Compression with Earth Moverβs Distance
EMNLP 2020
Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training
EMNLP 2020
Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems
COLING 2020
Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning
COLING 2020
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation
COLING 2020
Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction
ACL 2020
Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge
ACL 2020
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
AAAI 2020
Interactive Dual Generative Adversarial Networks for Image Captioning
AAAI 2020
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization
AAAI 2020
AILA: A Question Answering System in the Legal Domain
IJCAI 2020
Attentive User-Engaged Adversarial Neural Network for Community Question Answering
AAAI 2020
Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering
AAAI 2020
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering
AAAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning
AAAI 2020
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
AAAI 2019
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
EMNLP 2019
Transductive Zero-Shot Learning via Visual Center Adaptation
AAAI 2019
Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning
IJCAI 2019
Reading Like HER: Human Reading Inspired Extractive Summarization
IJCNLP 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
IJCNLP 2019
A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis
IJCNLP 2019
Exploring Human-Like Reading Strategy for Abstractive Text Summarization
AAAI 2019
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
AAAI 2019
A Multi-Task Learning Framework for Abstractive Text Summarization
AAAI 2019
Learning Document Embeddings with Crossword Prediction
AAAI 2019
Reading Like HER: Human Reading Inspired Extractive Summarization
EMNLP 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis
EMNLP 2019
Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications
ACL 2019
A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification
AAAI 2019
Aspect and Sentiment Aware Abstractive Review Summarization
COLING 2018
A Multi-sentiment-resource Enhanced Attention Network for Sentiment Classification
ACL 2018
A Multi-task Learning Approach for Image Captioning
IJCAI 2018
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning
IJCAI 2018
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training
IJCAI 2018
Investigating Capsule Networks with Dynamic Routing for Text Classification
EMNLP 2018
Cooperative Denoising for Distantly Supervised Relation Extraction
COLING 2018
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge
COLING 2018
Scalable Normalized Cut with Improved Spectral Rotation
IJCAI 2017
Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters
EMNLP 2017
Deep Markov Neural Network for Sequential Data Classification
ACL 2015
Deep Markov Neural Network for Sequential Data Classification
IJCNLP 2015
LCCT: A Semi-supervised Model for Sentiment Classification
NAACL 2015
A Topic Model for Building Fine-grained Domain-specific Emotion Lexicon
ACL 2014
Relaxed Clipping: A Global Training Method for Robust Regression and Classification
NIPS 2010