← Authors

Yue Wang

169 papers · 2010–2026 · 23 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (22) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (28) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (34) πŸ”¬ Deep Specialist (19) 🀝 Dynamic Duo (15) ⚑ Prolific Year (23) πŸ”₯ Unstoppable (13) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (70) πŸ’Ž Century Club (164) ❓ The Questioner (3) πŸš€ Conference Pioneer

Conferences

CVPR (19) NIPS (18) ICLR (18) ICML (16) AAAI (14) CORL (13) EMNLP (11) IJCAI (9) ACL (9) ICCV (8) ECCV (7) COLING (5) NAACL (4) RSS (4) JMLR (3) WACV (3) UAI (2) EACL (1) AACL (1) AISTATS (1) IJCNLP (1) INTERSPEECH (1) MICCAI (1)

Top co-authors

Marco Pavone (15) Rong Xiong (14) Boris Ivanovic (12) Hang Zhao (11) Lu Bai (9) Lixin Cui (9) Jiawei Yang (9) Shaofeng Zou (9) Yiyi Liao (8) Ming Li (8)

Research topics

Core AI (1) Computer Vision (1)

Keywords

autonomous driving (14) self-supervised learning (7) large language model (7) reinforcement learning (7) novel view synthesis (7) scene understanding (6) model compression (6) vision-language model (5) graph classification (5) 3d vision (5) neural network (5) 3d gaussian splatting (5) point cloud (5) code generation (5) 3d object detection (5) contrastive learning (4) representation learning (4) multimodal learning (4) end-to-end learning (4) diffusion model (4)

Papers

SSHPool: The Separated Subgraph-based Hierarchical Pooling AAAI 2026
ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning AAAI 2026
A Simple and Efficient Learning-Style Prompting for LLM Jailbreaking EACL 2026
Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning AAAI 2026
Stabilizing Policy Gradient Methods via Reward Profiling AAAI 2026
Fantastic Copyrighted Beasts and How (Not) to Generate Them ICLR 2025
Extrapolated Urban View Synthesis Benchmark ICCV 2025
Learning an Implicit Physics Model for Image-based Fluid Simulation ICCV 2025
COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025
InfiniCube: Unbounded and Controllable Dynamic 3D Driving Scene Generation with World-Guided Video Models ICCV 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
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection IJCAI 2025
How Sememic Components Can Benefit Link Prediction for Lexico-Semantic Knowledge Graphs? EMNLP 2025
SOLAR: Serendipity Optimized Language Model Aligned for Recommendation EMNLP 2025
Neural Eulerian Scene Flow Fields ICLR 2025
OmniRe: Omni Urban Scene Reconstruction ICLR 2025
Model-Based Closed-Loop Control Algorithm for Stochastic Partial Differential Equation Control IJCAI 2025
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification IJCAI 2025
ManipBench: Benchmarking Vision-Language Models for Low-Level Robot Manipulation CORL 2025
Robot Learning from Any Images CORL 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
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
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
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
π’œ3: 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
A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025
A Selective Learning Method for Temporal Graph Continual Learning ICML 2025
LTRS: Improving Word Sense Disambiguation via Learning to Rank Senses COLING 2025
From Uncertain to Safe: Conformal Adaptation of Diffusion Models for Safe PDE Control ICML 2025
RoboVerse: A Unified Platform, Benchmark and Dataset for Scalable and Generalizable Robot Learning RSS 2025
SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services ICML 2025
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
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
Model-Free Offline Reinforcement Learning with Enhanced Robustness ICLR 2025
Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning ICLR 2025
N-ForGOT: Towards Not-forgetting and Generalization of Open Temporal Graph Learning ICLR 2025
Optimal Non-Redundant Manipulator Surface Coverage with Rank-Deficient Manipulability Constraints RSS 2024
Hybrid-Structure-Oriented Transformer for Arm Musculoskeletal Ultrasound Segmentation MICCAI 2024
Mmm whatcha say? Uncovering distal and proximal context effects in first and second-language word perception using psychophysical reverse correlation INTERSPEECH 2024
Morpheme Sense Disambiguation: A New Task Aiming for Understanding the Language at Character Level COLING 2024
Large Spatial Model: End-to-end Unposed Images to Semantic 3D NIPS 2024
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model COLING 2024
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision ICLR 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
Denoising Vision Transformers ECCV 2024
A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch NIPS 2024
Removing the Quality Tax in Controllable Face Generation WACV 2024
Model-Free Robust Reinforcement Learning with Sample Complexity Analysis UAI 2024
Better Neural PDE Solvers Through Data-Free Mesh Movers ICLR 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning NIPS 2024
Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024
EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction AAAI 2024
Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation ICML 2024
Memorize What Matters: Emergent Scene Decomposition from Multitraverse NIPS 2024
DistillNeRF: Perceiving 3D Scenes from Single-Glance Images by Distilling Neural Fields and Foundation Model Features NIPS 2024
Parallelized Spatiotemporal Slot Binding for Videos ICML 2024
DiffPhyCon: A Generative Approach to Control Complex Physical Systems NIPS 2024
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting CVPR 2024
Driving Everywhere with Large Language Model Policy Adaptation CVPR 2024
Semantics-aware Motion Retargeting with Vision-Language Models CVPR 2024
StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction WACV 2024
Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation ACL 2024
Towards Realistic Scene Generation with LiDAR Diffusion Models CVPR 2024
PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving CVPR 2024
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs ICML 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
Chinese Morpheme-informed Evaluation of Large Language Models COLING 2024
FreeNeRF: Improving Few-Shot Neural Rendering With Free Frequency Regularization CVPR 2023
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NIPS 2023
Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving NIPS 2023
Cross-Dataset Sensor Alignment: Making Visual 3D Object Detector Generalizable CORL 2023
Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023
Robust Average-Reward Markov Decision Processes AAAI 2023
Towards Better Hierarchical Text Classification with Data Generation ACL 2023
GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training CVPR 2023
SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory CVPR 2023
Multimodal Industrial Anomaly Detection via Hybrid Fusion CVPR 2023
Neural Map Prior for Autonomous Driving CVPR 2023
PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow CVPR 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
Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models EMNLP 2023
G-SPEED: General SParse Efficient Editing MoDel 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
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
An Efficient Multi-solution Solver for the Inverse Kinematics of 3-Section Constant-Curvature Robots RSS 2023
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification EMNLP 2022
A Visual Navigation Perspective for Category-Level Object Pose Estimation ECCV 2022
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception CORL 2022
Learning Interpretable BEV Based VIO without Deep Neural Networks CORL 2022
Policy Gradient Method For Robust Reinforcement Learning ICML 2022
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences CORL 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning IJCNLP 2022
Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5 EMNLP 2022
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping CORL 2022
Sentence-Level Resampling for Named Entity Recognition NAACL 2022
Gradient Information Matters in Policy Optimization by Back-propagating through Model ICLR 2022
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning NIPS 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022
COKE: Communication-Censored Decentralized Kernel Learning JMLR 2021
R-Drop: Regularized Dropout for Neural Networks NIPS 2021
Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation NIPS 2021
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries CORL 2021
On Feature Decorrelation in Self-Supervised Learning ICCV 2021
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021
Towards Modeling the Style of Translators in Neural Machine Translation NAACL 2021
Online Robust Reinforcement Learning with Model Uncertainty NIPS 2021
Object DGCNN: 3D Object Detection using Dynamic Graphs NIPS 2021
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation EMNLP 2021
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark ICLR 2021
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis IJCAI 2020
Non-revisiting Coverage Task with Minimal Discontinuities for Non-redundant Manipulators RSS 2020
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching CORL 2020
Finite-sample Analysis of Greedy-GQ with Linear Function Approximation under Markovian Noise UAI 2020
Multimodal Joint Attribute Prediction and Value Extraction for E-commerce Product EMNLP 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NIPS 2020
Pillar-based Object Detection for Autonomous Driving ECCV 2020
Rethinking Few-shot Image Classification: A Good Embedding is All You Need? ECCV 2020
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement CVPR 2020
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks ICLR 2020
Causal inference in degenerate systems: An impossibility result AISTATS 2020
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL 2020
Consistent Video Style Transfer via Compound Regularization AAAI 2020
Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention WACV 2020
VD-BERT: A Unified Vision and Dialog Transformer with BERT EMNLP 2020
Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings EMNLP 2020
Topic-Aware Neural Keyphrase Generation for Social Media Language ACL 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration NIPS 2019
E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings NIPS 2019
Deep Closest Point: Learning Representations for Point Cloud Registration ICCV 2019
Microblog Hashtag Generation via Encoding Conversation Contexts NAACL 2019
The Strength of the Weakest Supervision: Topic Classification Using Class Labels NAACL 2019
Code Completion with Neural Attention and Pointer Networks IJCAI 2018
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
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