Yang Wang

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks ACL 2026 Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information WACV 2026 MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds AAAI 2026 FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning AAAI 2026 AlignTrack: Top-Down Spatiotemporal Resolution Alignment for RGB-Event Visual Tracking AAAI 2026 Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services AAAI 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing AAAI 2026 Agent-SAMA: State-Aware Mobile Assistant AAAI 2026 Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis AAAI 2026 U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions AAAI 2026 Aware Distillation for Robust Vision-Language Tracking Under Linguistic Sparsity AAAI 2026 Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning ACL 2026 ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning ACL 2026 AgentAsk: Multi-Agent Systems Need to Ask ACL 2026 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth EMNLP 2025 HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth EMNLP 2025 Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation ICCV 2025 FreeDance: Towards Harmonic Free-Number Group Dance Generation via a Unified Framework ICCV 2025 Unsupervised Domain Adaptive Person Search via Dual Self-Calibration AAAI 2025 BEV-TSR: Text-Scene Retrieval in BEV Space for Autonomous Driving AAAI 2025 SMamba: Sparse Mamba for Event-based Object Detection AAAI 2025 Anchor Learning with Potential Cluster Constraints for Multi-view Clustering AAAI 2025 Multi-label Self Knowledge Distillation AAAI 2025 Navigating Towards Fairness with Data Selection AAAI 2025 STEM-LTS: Integrating Semantic-Temporal Dynamics in LLM-driven Time Series Analysis AAAI 2025 DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning WACV 2025 PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025 G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems ACL 2025 NetSafe: Exploring the Topological Safety of Multi-agent System ACL 2025 Can We Verify Step by Step for Incorrect Answer Detection? IJCAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction IJCAI 2025 Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks COLING 2025 From Facts to Insights: A Study on the Generation and Evaluation of Analytical Reports for Deciphering Earnings Calls COLING 2025 Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning IJCAI 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models IJCAI 2025 Time-Frequency Disentanglement Boosted Pre-Training: A Universal Spatio-Temporal Modeling Framework IJCAI 2025 Revealing Concept Shift in Spatio-Temporal Graphs via State Learning IJCAI 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Representation Learning with Mutual Influence of Modalities for Node Classification in Multi-Modal Heterogeneous Networks IJCAI 2025 Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image Restoration IJCAI 2025 Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data ICML 2025 Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation ICML 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective ICML 2025 UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ICML 2025 Robust Spatio-Temporal Centralized Interaction for OOD Learning ICML 2025 SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation ICML 2025 TimeBase: The Power of Minimalism in Efficient Long-term Time Series Forecasting ICML 2025 Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation ICLR 2025 Can LLMs Solve Longer Math Word Problems Better? ICLR 2025 MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025 QMambaBSR: Burst Image Super-Resolution with Query State Space Model CVPR 2025 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Exploring Historical Information for RGBE Visual Tracking with Mamba CVPR 2025 Open-CK: A Large Multi-Physics Fields Coupling benchmarks in Combustion Kinetics ICLR 2025 Towards Realistic Data Generation for Real-World Super-Resolution ICLR 2025 Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck ICLR 2025 COFlowNet: Conservative Constraints on Flows Enable High-Quality Candidate Generation ICLR 2025 Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows ICLR 2025 Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study ICLR 2025 BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025 Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network AAAI 2025 Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025 Boosting Image De-Raining via Central-Surrounding Synergistic Convolution AAAI 2025 DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models CORL 2024 Get Rid of Isolation: A Continuous Multi-task Spatio-Temporal Learning Framework NIPS 2024 Improving Generalization of Dynamic Graph Learning via Environment Prompt NIPS 2024 Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning ICML 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NIPS 2024 LLM-AutoDA: Large Language Model-Driven Automatic Data Augmentation for Long-tailed Problems NIPS 2024 NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching AAAI 2024 Test-Time Personalization with Meta Prompt for Gaze Estimation AAAI 2024 OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution AAAI 2024 Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective AAAI 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization AAAI 2024 A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks AAAI 2024 Fair Graph Learning Using Constraint-Aware Priority Adjustment and Graph Masking in River Networks AAAI 2024 Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment ICML 2024 On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity ICML 2024 Adapting to Distribution Shift by Visual Domain Prompt Generation ICLR 2024 Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams ECCV 2024 VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models EMNLP 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024 LeRet: Language-Empowered Retentive Network for Time Series Forecasting IJCAI 2024 Apprenticeship-Inspired Elegance: Synergistic Knowledge Distillation Empowers Spiking Neural Networks for Efficient Single-Eye Emotion Recognition IJCAI 2024 Make Bricks with a Little Straw: Large-Scale Spatio-Temporal Graph Learning with Restricted GPU-Memory Capacity IJCAI 2024 ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation IJCAI 2024 Scene-Adaptive Person Search via Bilateral Modulations IJCAI 2024 Visually Guided Audio Source Separation With Meta Consistency Learning WACV 2024 Fast One-Stage Unsupervised Domain Adaptive Person Search IJCAI 2024 MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale OSDI 2024 ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing OSDI 2024 Both Matter: Enhancing the Emotional Intelligence of Large Language Models without Compromising the General Intelligence ACL 2024 Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024 Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting CVPR 2024 LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation INTERSPEECH 2024 Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts NIPS 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound under the Local Access Model AISTATS 2024 A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image ECCV 2024 Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning ICLR 2024 LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay EMNLP 2024 Graph Lottery Ticket Automated ICLR 2024 NuwaDynamics: Discovering and Updating in Causal Spatio-Temporal Modeling ICLR 2024 Decoupling-and-Aggregating for Image Exposure Correction CVPR 2023 CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement NIPS 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 MetaZSCIL: A Meta-Learning Approach for Generalized Zero-Shot Class Incremental Learning AAAI 2023 Fair Representation Learning with Unreliable Labels AISTATS 2023 Optimal Contextual Bandits with Knapsacks under Realizability via Regression Oracles AISTATS 2023 Adaptive Data-Free Quantization CVPR 2023 Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling CVPR 2023 Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning ICCV 2023 MetaGCD: Learning to Continually Learn in Generalized Category Discovery ICCV 2023 Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective ICLR 2023 GReTo: Remedying dynamic graph topology-task discordance via target homophily ICLR 2023 A Laplace-inspired Distribution on SO(3) for Probabilistic Rotation Estimation ICLR 2023 Image-driven Audio-visual Universal Source Separation INTERSPEECH 2023 Conveyor: One-Tool-Fits-All Continuous Software Deployment at Meta OSDI 2023 Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023 Few-Shot Learning of Compact Models via Task-Specific Meta Distillation WACV 2023 Domain Generalization by Learning and Removing Domain-specific Features NIPS 2022 WA-Transformer: Window Attention-based Transformer with Two-stage Strategy for Multi-task Audio Source Separation INTERSPEECH 2022 Conformer Space Neural Architecture Search for Multi-Task Audio Separation INTERSPEECH 2022 Improving Visual Speech Enhancement Network by Learning Audio-visual Affinity with Multi-head Attention INTERSPEECH 2022 GLD-Net: Improving Monaural Speech Enhancement by Learning Global and Local Dependency Features with GLD Block INTERSPEECH 2022 SparTA: Deep-Learning Model Sparsity via Tensor-with-Sparsity-Attribute OSDI 2022 Private Streaming SCO in $\ell_p$ geometry with Applications in High Dimensional Online Decision Making ICML 2022 Multi-Grained Spatio-Temporal Features Perceived Network for Event-Based Lip-Reading CVPR 2022 MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022 Contrastive Learning for Unsupervised Video Highlight Detection CVPR 2022 BigDL 2.0: Seamless Scaling of AI Pipelines From Laptops to Distributed Cluster CVPR 2022 DECORE: Deep Compression With Reinforcement Learning CVPR 2022 Dreaming To Prune Image Deraining Networks CVPR 2022 Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay ECCV 2022 Switchable Online Knowledge Distillation ECCV 2022 S2N: Suppression-Strengthen Network for Event-Based Recognition under Variant Illuminations ECCV 2022 An Error Analysis of Generative Adversarial Networks for Learning Distributions JMLR 2022 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NIPS 2022 Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities WACV 2022 Self-Supervised Spatiotemporal Representation Learning by Exploiting Video Continuity AAAI 2022 Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network IJCAI 2022 ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation AAAI 2022 Exposure Normalization and Compensation for Multiple-Exposure Correction CVPR 2022 Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts NIPS 2022 Multi-Stage Progressive Speech Enhancement Network INTERSPEECH 2021 Recognizing Reduplicated Forms: Finite-State Buffered Machines IJCNLP 2021 Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning CVPR 2021 NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset EMNLP 2021 A Sequence-to-Sequence Approach to Dialogue State Tracking IJCNLP 2021 Image Change Captioning by Learning From an Auxiliary Task CVPR 2021 Non-asymptotic Error Bounds for Bidirectional GANs NIPS 2021 Generalized Linear Bandits with Local Differential Privacy NIPS 2021 PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features CVPR 2021 Deep Generative Learning via Schrödinger Bridge ICML 2021 Supervoxel Attention Graphs for Long-Range Video Modeling WACV 2021 A Sequence-to-Sequence Approach to Dialogue State Tracking ACL 2021 Video Captioning of Future Frames WACV 2021 Bias-tolerant Fair Classification ACML 2021 Partial-Label and Structure-constrained Deep Coupled Factorization Network AAAI 2021 Joint Visual and Audio Learning for Video Highlight Detection ICCV 2021 Recognizing Reduplicated Forms: Finite-State Buffered Machines ACL 2021 Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning WACV 2020 Adaptive Video Highlight Detection by Learning from User History ECCV 2020 Cross-Modal Weighting Network for RGB-D Salient Object Detection ECCV 2020 Few-Shot Scene-Adaptive Anomaly Detection ECCV 2020 Deep Degradation Prior for Low-Quality Image Classification CVPR 2020 Unsupervised Vehicle Re-identification with Progressive Adaptation IJCAI 2020 Recurrent Relational Memory Network for Unsupervised Image Captioning IJCAI 2020 Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning IJCAI 2020 Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020 Don't Hit Me! Glass Detection in Real-World Scenes CVPR 2020 Composed Query Image Retrieval Using Locally Bounded Features CVPR 2020 Geometric Estimation via Robust Subspace Recovery ECCV 2020 LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression COLING 2020 Non-Parallel Many-to-Many Voice Conversion with PSR-StarGAN INTERSPEECH 2020 Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables JMLR 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020 When AWGN-Based Denoiser Meets Real Noises AAAI 2020 Unsupervised Learning of Camera Pose with Compositional Re-estimation WACV 2020 Convex Shape Prior for Multi-Object Segmentation Using a Single Level Set Function ICCV 2019 UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos CVPR 2019 Cross-Modal Self-Attention Network for Referring Image Segmentation CVPR 2019 Deep Generative Learning via Variational Gradient Flow ICML 2019 Region Mutual Information Loss for Semantic Segmentation NIPS 2019 Contextual Attention for Hand Detection in the Wild ICCV 2019 Discriminative Sample Generation for Deep Imbalanced Learning IJCAI 2019 GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images CVPR 2019 Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019 Video Summarization by Learning From Unpaired Data CVPR 2019 Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae ACL 2019 LEGO: Learning Edge With Geometry All at Once by Watching Videos CVPR 2018 Pulling Actions out of Context: Explicit Separation for Effective Combination CVPR 2018 Video Summarization Using Fully Convolutional Sequence Networks ECCV 2018 Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies IJCAI 2018 Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information IJCAI 2018 wPerf: Generic Off-CPU Analysis to Identify Bottleneck Waiting Events OSDI 2018 Occlusion Aware Unsupervised Learning of Optical Flow CVPR 2018 Gated Feedback Refinement Network for Dense Image Labeling CVPR 2017 The SUMMA Platform Prototype EACL 2017 Flexible and Creative Chinese Poetry Generation Using Neural Memory ACL 2017 Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter EMNLP 2016 Tri-Party Deep Network Representation IJCAI 2016 Iterative Views Agreement: An Iterative Low-Rank Based Structured Optimization Method to Multi-View Spectral Clustering IJCAI 2016 Bayesian Optimization of Partition Layouts for Mondrian Processes IJCAI 2016 Improving Human Action Recognition by Non-Action Classification CVPR 2016 Infinite Hidden Semi-Markov Modulated Interaction Point Process NIPS 2016 Weakly Supervised Localization of Novel Objects Using Appearance Transfer CVPR 2015 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 Salt: Combining ACID and BASE in a Distributed Database OSDI 2014 Exalt: Empowering Researchers to Evaluate Large-Scale Storage Systems NSDI 2014 Non-parametric Filtering for Geometric Detail Extraction and Material Representation CVPR 2013 Robustness in the Salus Scalable Block Store NSDI 2013 Discriminative Hierarchical Part-based Models for Human Parsing and Action Recognition JMLR 2012 All about Eve: Execute-Verify Replication for Multi-Core Servers OSDI 2012 Kernel Latent SVM for Visual Recognition NIPS 2012 Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010 Fusion of Multiple Features and Ranking SVM for Web-based English-Chinese OOV Term Translation COLING 2010 A Rate Distortion Approach for Semi-Supervised Conditional Random Fields NIPS 2009 English-Chinese Bi-Directional OOV Translation based on Web Mining and Supervised Learning IJCNLP 2009 English-Chinese Bi-Directional OOV Translation based on Web Mining and Supervised Learning ACL 2009 Learning a discriminative hidden part model for human action recognition NIPS 2008