Yue Wang

Lesion-Aware Reconstruction with Principal Network: Enhancing Pseudo-Label Reliability in Semi-Supervised Clinical Lesion Detection MIDL 2026 Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026 Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026 A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking EACL 2026 MobileWorld: Benchmarking Autonomous Mobile Agents in Agent-User Interactive and MCP-Augmented Environments ACL 2026 Enhancing Lexical Relation Mining with Structured Sememe Knowledge ACL 2026 AwarenessBench: Assessing Cognitive Capabilities of Language Models ACL 2026 BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs ACL 2026 SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026 ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026 CarPlanner: Consistent Auto-regressive Trajectory Planning for Large-Scale Reinforcement Learning in Autonomous Driving CVPR 2025 Learning Temporally Consistent Video Depth from Video Diffusion Priors CVPR 2025 EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis CVPR 2025 Spatiotemporal Decoupling for Efficient Vision-Based Occupancy Forecasting CVPR 2025 Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions CVPR 2025 Symbolic Representation for Any-to-Any Generative Tasks CVPR 2025 Learning an Implicit Physics Model for Image-based Fluid Simulation ICCV 2025 Extrapolated Urban View Synthesis Benchmark ICCV 2025 SOLAR: Serendipity Optimized Language Model Aligned for Recommendation EMNLP 2025 Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint IJCAI 2025 AKBR: Learning Adaptive Kernel-based Representations for Graph Classification IJCAI 2025 MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning IJCAI 2025 ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks ICML 2025 How Sememic Components Can Benefit Link Prediction for Lexico-Semantic Knowledge Graphs? EMNLP 2025 ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation CORL 2025 Robot Learning from Any Images CORL 2025 Pessimism Principle Can Be Effective: Towards a Framework for Zero-Shot Transfer Reinforcement Learning ICML 2025 GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs ICML 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025 A Selective Learning Method for Temporal Graph Continual Learning ICML 2025 RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning RSS 2025 How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation AAAI 2025 Adaptive Wavelet-Positional Encoding for High-Frequency Information Learning in Implicit Neural Representation AAAI 2025 Out-of-Distribution Detection with Prototypical Outlier Proxy AAAI 2025 Contradicted in Reliable, Replicated in Unreliable: Dual-Source Reference for Fake News Early Detection AAAI 2025 From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control ICML 2025 SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services ICML 2025 PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding ICLR 2025 STORM: Spatio-TempOral Reconstruction Model For Large-Scale Outdoor Scenes ICLR 2025 Wavelet Diffusion Neural Operator ICLR 2025 𝒜3: Automatic Alignment Framework for Attributed Text Generation ACL 2025 UrbanVideo-Bench: Benchmarking Vision-Language Models on Embodied Intelligence with Video Data in Urban Spaces ACL 2025 StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following ACL 2025 Aria-UI: Visual Grounding for GUI Instructions ACL 2025 Model-Free Offline Reinforcement Learning with Enhanced Robustness ICLR 2025 Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning ICLR 2025 LTRS: Improving Word Sense Disambiguation via Learning to Rank Senses COLING 2025 N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning ICLR 2025 OmniRe: Omni Urban Scene Reconstruction ICLR 2025 Neural Eulerian Scene Flow Fields ICLR 2025 Fantastic Copyrighted Beasts and How (Not) to Generate Them ICLR 2025 Language-Image Models with 3D Understanding ICLR 2025 HR-Extreme: A High-Resolution Dataset for Extreme Weather Forecasting ICLR 2025 LoRA3D: Low-Rank Self-Calibration of 3D Geometric Foundation models ICLR 2025 InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models ICCV 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025 Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control IJCAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection IJCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification IJCAI 2025 Driving Everywhere with Large Language Model Policy Adaptation CVPR 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NIPS 2024 A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NIPS 2024 Large Spatial Model: End-to-end Unposed Images to Semantic 3D NIPS 2024 DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse NIPS 2024 HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning NIPS 2024 RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation CORL 2024 Q-SLAM: Quadric Representations for Monocular SLAM CORL 2024 Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction CORL 2024 Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving CORL 2024 Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024 EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction AAAI 2024 Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation ACL 2024 Chinese Morpheme-informed Evaluation of Large Language Models COLING 2024 Morpheme Sense Disambiguation: A New Task Aiming for Understanding the Language at Character Level COLING 2024 Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model COLING 2024 HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting CVPR 2024 Semantics-aware Motion Retargeting with Vision-Language Models CVPR 2024 Towards Realistic Scene Generation with LiDAR Diffusion Models CVPR 2024 PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving CVPR 2024 Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning ECCV 2024 Learning 3D-aware GANs from Unposed Images with Template Feature Field ECCV 2024 PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors ECCV 2024 Denoising Vision Transformers ECCV 2024 Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024 EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 2024 QBMK: Quantum-based Matching Kernels for Un-attributed Graphs ICML 2024 Parallelized Spatiotemporal Slot Binding for Videos ICML 2024 Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation ICML 2024 Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation INTERSPEECH 2024 Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation MICCAI 2024 Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints RSS 2024 Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024 Removing the Quality Tax in Controllable Face Generation WACV 2024 StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction WACV 2024 Robust Average-Reward Markov Decision Processes AAAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow CVPR 2023 Neural Map Prior for Autonomous Driving CVPR 2023 Multimodal Industrial Anomaly Detection via Hybrid Fusion CVPR 2023 SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory CVPR 2023 GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training CVPR 2023 Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving NIPS 2023 An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots RSS 2023 Towards Better Hierarchical Text Classification with Data Generation ACL 2023 On Uni-Modal Feature Learning in Supervised Multi-Modal Learning ICML 2023 NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023 VectorMapNet: End-to-end Vectorized HD Map Learning ICML 2023 Model-Free Robust Average-Reward Reinforcement Learning ICML 2023 G-SPEED: General SParse Efficient Editing MoDel EMNLP 2023 Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable CORL 2023 Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models EMNLP 2023 ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries CVPR 2023 CodeT5+: Open Code Large Language Models for Code Understanding and Generation EMNLP 2023 UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields ICCV 2023 Making Better Decision by Directly Planning in Continuous Control ICLR 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023 FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization CVPR 2023 Learning Interpretable BEV Based VIO without Deep Neural Networks CORL 2022 Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception CORL 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning IJCNLP 2022 Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping CORL 2022 Policy Gradient Method For Robust Reinforcement Learning ICML 2022 CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning NIPS 2022 FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification EMNLP 2022 Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022 A Visual Navigation Perspective for Category-Level Object Pose Estimation ECCV 2022 Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022 Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022 Representation Learning for Object Detection from Unlabeled Point Cloud Sequences CORL 2022 Sentence-Level Resampling for Named Entity Recognition NAACL 2022 DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries CORL 2021 SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021 HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark ICLR 2021 Object DGCNN: 3D Object Detection using Dynamic Graphs NIPS 2021 R-Drop: Regularized Dropout for Neural Networks NIPS 2021 On Feature Decorrelation in Self-Supervised Learning ICCV 2021 Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation NIPS 2021 COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021 Online Robust Reinforcement Learning with Model Uncertainty NIPS 2021 Towards Modeling the Style of Translators in Neural Machine Translation NAACL 2021 CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation EMNLP 2021 VD-BERT: A Unified Vision and Dialog Transformer with BERT EMNLP 2020 From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement CVPR 2020 Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching CORL 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020 Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks ICLR 2020 Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020 PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention WACV 2020 Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings EMNLP 2020 Consistent Video Style Transfer via Compound Regularization AAAI 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis IJCAI 2020 Rethinking Few-shot Image Classification: A Good Embedding is All You Need? ECCV 2020 Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product EMNLP 2020 Pillar-based Object Detection for Autonomous Driving ECCV 2020 A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL 2020 Non-revisiting Coverage Task with Minimal Discontinuities for Non-redundant Manipulators RSS 2020 Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019 Microblog Hashtag Generation via Encoding Conversation Contexts NAACL 2019 The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019 E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NIPS 2019 PRNet: Self-Supervised Learning for Partial-to-Partial Registration NIPS 2019 Deep Closest Point: Learning Representations for Point Cloud Registration ICCV 2019 Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions ICML 2018 The APVA-TURBO Approach To Question Answering in Knowledge Base COLING 2018 Code Completion with Neural Attention and Pointer Networks IJCAI 2018 Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting NIPS 2017 Graphical Time Warping for Joint Alignment of Multiple Curves NIPS 2016 Regression Model Fitting under Differential Privacy and Model Inversion Attack IJCAI 2015 A Study of Concept-based Weighting Regularization for Medical Records Search ACL 2014 The CAM Software for Nonnegative Blind Source Separation in R-Java JMLR 2013 Matched Gene Selection and Committee Classifier for Molecular Classification of Heterogeneous Diseases JMLR 2010