← Authors

Zhen Wang

133 papers · 2014–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🏠 Conference Loyalist (21) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (10) πŸ”¬ Deep Specialist (20) πŸ† Keyword Champion (9) πŸš€ Conference Pioneer ⚑ Prolific Year (28) πŸ—ƒοΈ Keyword Collector (493) ❓ The Questioner (2) πŸ’Ž Century Club (129) πŸ”₯ Unstoppable (9)

Conferences

AAAI (25) IJCAI (21) ICLR (15) NIPS (14) EMNLP (12) CVPR (11) ICML (11) ACL (8) ECCV (6) COLING (3) ICCV (2) EACL (1) IJCNLP (1) NAACL (1) SEMEVAL (1) UAI (1)

Top co-authors

Xuelong Li (10) Liang Yang (10) Chao Gao (10) Chuan Wang (10) Di Jin (9) Xiaochun Cao (8) Jiaming Zhuo (8) Dacheng Tao (8) Dongxiao He (8) Shuyue Hu (8)

Keywords

graph neural network (21) large language model (11) contrastive learning (10) graph representation learning (9) multi-agent system (7) self-supervised learning (7) representation learning (6) mutual information (6) graph contrastive learning (6) semi-supervised learning (5) unsupervised learning (5) knowledge distillation (5) attention mechanism (4) message passing (4) reinforcement learning (4) language model (4) node classification (4) neural architecture search (3) continual learning (3) feature representation (3)

Papers

Adaptive Theory of Mind for LLM-based Multi-Agent Coordination AAAI 2026
MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026
Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding AAAI 2026
Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction AAAI 2026
Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 2025
Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective ICLR 2025
Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts ICLR 2025
DUALFormer: Dual Graph Transformer ICLR 2025
Erasing Concept Combination from Text-to-Image Diffusion Model ICLR 2025
CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing ICLR 2025
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark ICLR 2025
Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework EMNLP 2025
Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference AAAI 2025
Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer AAAI 2025
Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model AAAI 2025
LiON: Learning Point-Wise Abstaining Penalty for LiDAR Outlier DetectioN Using Diverse Synthetic Data AAAI 2025
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games AAAI 2025
Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025
Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation AAAI 2025
Graph Contrastive Learning with Joint Spectral Augmentation of Attribute and Topology AAAI 2025
Unified Molecule-Text Language Model with Discrete Token Representation IJCAI 2025
Universal Graph Self-Contrastive Learning IJCAI 2025
Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems IJCAI 2025
Good Advisor for Source Localization: Using Large Language Model to Guide the Source Inference Process IJCAI 2025
Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration ACL 2025
PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025
HyperIDP: Customizing Temporal Hypergraph Neural Networks for Multi-Scale Information Diffusion Prediction COLING 2025
OpenForecast: A Large-Scale Open-Ended Event Forecasting Dataset COLING 2025
HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion IJCAI 2025
SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs IJCAI 2025
IterIS: Iterative Inference-Solving Alignment for LoRA Merging CVPR 2025
Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025
Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields CVPR 2025
Do We Really Need Message Passing in Brain Network Modeling? ICML 2025
Disentangled Graph Spectral Domain Adaptation ICML 2025
Event-Customized Image Generation ICML 2025
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models ICML 2025
Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner ICML 2025
Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization EMNLP 2024
Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NIPS 2024
PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ICLR 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024
On the Role of General Function Approximation in Offline Reinforcement Learning ICLR 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE ICLR 2024
Exploring Molecular Pretraining Model at Scale NIPS 2024
S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search NIPS 2024
Learning Superconductivity from Ordered and Disordered Material Structures NIPS 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion AAAI 2024
GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking AAAI 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction NIPS 2024
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism ECCV 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024
ControversialQA: Exploring Controversy in Question Answering COLING 2024
MVDD: Multi-View Depth Diffusion Models ECCV 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024
A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024
A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma IJCAI 2024
Emergence of Social Norms in Generative Agent Societies: Principles and Architecture IJCAI 2024
Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NIPS 2024
Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics IJCAI 2024
A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NIPS 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement CVPR 2024
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction CVPR 2023
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation NIPS 2023
Self-supervised Graph Neural Networks via Low-Rank Decomposition NIPS 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings NIPS 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning NIPS 2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering NIPS 2023
Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023
A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games AAAI 2023
Local-Global Defense against Unsupervised Adversarial Attacks on Graphs AAAI 2023
Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023
Emergence of Punishment in Social Dilemma with Environmental Feedback AAAI 2023
ThinkSum: Probabilistic reasoning over sets using large language models ACL 2023
Delving Into Shape-Aware Zero-Shot Semantic Segmentation CVPR 2023
ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection CVPR 2023
Entity Tracking via Effective Use of Multi-Task Learning Model and Mention-guided Decoding EACL 2023
Reasoning with Language Model is Planning with World Model EMNLP 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations ICCV 2023
Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ICLR 2023
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023
Contrastive Learning Meets Homophily: Two Birds with One Stone ICML 2023
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023
Behavior Contrastive Learning for Unsupervised Skill Discovery ICML 2023
MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning IJCAI 2023
Sequential Attention Source Identification Based on Feature Representation IJCAI 2023
OPEN: Orthogonal Propagation with Ego-Network Modeling NIPS 2022
Online Continual Learning with Contrastive Vision Transformer ECCV 2022
Understanding the Dynamics of DNNs Using Graph Modularity ECCV 2022
Search to Pass Messages for Temporal Knowledge Graph Completion EMNLP 2022
Continual Learning through Retrieval and Imagination AAAI 2022
Answer Quality Aware Aggregation for Extractive QA Crowdsourcing EMNLP 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation ICLR 2022
iFlood: A Stable and Effective Regularizer ICLR 2022
D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat EMNLP 2022
Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering NAACL 2022
Explicit Image Caption Editing ECCV 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning ECCV 2022
Coherence boosting: When your pretrained language model is not paying enough attention ACL 2022
ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 2022
Synthetic Generation of Face Videos With Plethysmograph Physiology CVPR 2022
Continual Learning With Lifelong Vision Transformer CVPR 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022
A Formal Model for Multiagent Q-Learning Dynamics on Regular Graphs IJCAI 2022
Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection SEMEVAL 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation AAAI 2021
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection ACL 2021
MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection IJCNLP 2021
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020
Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020
Deep Streaming Label Learning ICML 2020
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020
A Dual Input-aware Factorization Machine for CTR Prediction IJCAI 2020
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020
An Input-aware Factorization Machine for Sparse Prediction IJCAI 2019
Fisher-Bures Adversary Graph Convolutional Networks UAI 2019
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension ACL 2018
Optimal Escape Interdiction on Transportation Networks IJCAI 2017
Least Squares Generative Adversarial Networks ICCV 2017
Aligning Knowledge and Text Embeddings by Entity Descriptions EMNLP 2015
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks EMNLP 2015
Knowledge Graph and Text Jointly Embedding EMNLP 2014