Zhen Wang

MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction AAAI 2026 Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models ACL 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 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 DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping ACL 2026 Adaptive Theory of Mind for LLM-based Multi-Agent Coordination AAAI 2026 DUALFormer: Dual Graph Transformer ICLR 2025 Beyond Inherent Cognition Biases in LLM-Based Event Forecasting: A Multi-Cognition Agentic Framework EMNLP 2025 Multi-Agent Autonomous Driving Systems with Large Language Models: A Survey of Recent Advances, Resources, and Future Directions EMNLP 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 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 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 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 HyperDet: Source Detection in Hypergraphs via Interactive Relationship Construction and Feature-rich Attention Fusion 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 SourceDetMamba: A Graph-aware State Space Model for Source Detection in Sequential Hypergraphs IJCAI 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 Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts ICLR 2025 Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective ICLR 2025 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 Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling ICLR 2024 MVDD: Multi-View Depth Diffusion Models ECCV 2024 DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism ECCV 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 ControversialQA: Exploring Controversy in Question Answering COLING 2024 A Successful Strategy for Multichannel Iterated Prisoner’s Dilemma IJCAI 2024 Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models EMNLP 2024 Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning ICML 2024 Emergence of Social Norms in Generative Agent Societies: Principles and Architecture IJCAI 2024 Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics IJCAI 2024 Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering NIPS 2024 A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm NIPS 2024 A General Black-box Adversarial Attack on Graph-based Fake News Detectors IJCAI 2024 PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization ICLR 2024 Unified Graph Augmentations for Generalized Contrastive Learning on Graphs NIPS 2024 Active Learning for Abstractive Text Summarization via LLM-Determined Curriculum and Certainty Gain Maximization EMNLP 2024 Improving Graph Contrastive Learning via Adaptive Positive Sampling CVPR 2024 AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement CVPR 2024 Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction NIPS 2024 ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection 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 ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction 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 Balancing Stability and Plasticity through Advanced Null Space in Continual Learning ECCV 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 Answer Quality Aware Aggregation for Extractive QA Crowdsourcing EMNLP 2022 D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat EMNLP 2022 PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022 HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation ICLR 2022 iFlood: A Stable and Effective Regularizer ICLR 2022 Knowledge Transfer between Structured and Unstructured Sources for Complex Question Answering NAACL 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 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 Continual Learning through Retrieval and Imagination AAAI 2022 OPEN: Orthogonal Propagation with Ego-Network Modeling NIPS 2022 EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022 Explicit Image Caption Editing ECCV 2022 MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection IJCNLP 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 SEMEVAL 2021 MedAI at SemEval-2021 Task 5: Start-to-end Tagging Framework for Toxic Spans Detection ACL 2021 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020 Deep Streaming Label Learning ICML 2020 Diversify Question Generation with Continuous Content Selectors and Question Type Modeling EMNLP 2020 Rationalizing Medical Relation Prediction from Corpus-level Statistics ACL 2020 A Dual Input-aware Factorization Machine for CTR Prediction IJCAI 2020 Fisher-Bures Adversary Graph Convolutional Networks UAI 2019 An Input-aware Factorization Machine for Sparse Prediction IJCAI 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