Yang Wang

AgentAsk: Multi-Agent Systems Need to Ask ACL 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 FedMPT: Federated Multi-Label Prompt Tuning of Vision-Language Models CVPR 2026 LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation CVPR 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing AAAI 2026 U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026 Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks ACL 2026 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models IJCAI 2025 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems ACL 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows ICLR 2025 Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck ICLR 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 Multi-label Self Knowledge Distillation AAAI 2025 Navigating Towards Fairness with Data Selection AAAI 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025 PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025 Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks IJCAI 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation ICML 2025 Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025 TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NeurIPS 2024 Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence ACL 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NeurIPS 2024 Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NeurIPS 2024 Graph Lottery Ticket Automated ICLR 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NeurIPS 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NeurIPS 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NeurIPS 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023 Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network IJCAI 2022 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NeurIPS 2022 Domain Generalization by Learning and Removing Domain-specific Features NeurIPS 2022 SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute OSDI 2022 Bias-tolerant Fair Classification ACML 2021 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables JMLR 2020 LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression COLING 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 2019 UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos CVPR 2019 LEGO: Learning Edge With Geometry All at Once by Watching Videos CVPR 2018 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information IJCAI 2018 Bayesian Optimization of Partition Layouts for Mondrian Processes IJCAI 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NeurIPS 2016 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering IJCAI 2016 Tri-Party Deep Network Representation IJCAI 2016 Metadata Dependent Mondrian Processes ICML 2015 Stable Learning in Coding Space for Multi-Class Decoding and Its Extension for Multi-Class Hypothesis Transfer Learning CVPR 2014