Yue Wu
105 papers · 2013–2026 · 17 conferences · across top CS/AI conferences
Achievements
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(23)
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(27)
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(99)
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Conferences
CVPR (23)
AAAI (15)
ICML (11)
ICLR (11)
NIPS (10)
ICCV (7)
EMNLP (6)
ACL (5)
ECCV (4)
EACL (2)
CORL (2)
AISTATS (2)
IJCAI (2)
WACV (2)
COLT (1)
INTERSPEECH (1)
UAI (1)
Top co-authors
Keywords
large language model
(12)
image generation
(5)
diffusion model
(4)
point cloud
(4)
facial expression
(3)
object detection
(3)
domain adaptation
(3)
3d vision
(3)
facial landmark detection
(3)
image synthesis
(3)
representation learning
(3)
catastrophic forgetting
(3)
multimodal learning
(3)
neural network
(3)
point cloud registration
(3)
self-supervised learning
(3)
adversarial learning
(3)
knowledge distillation
(2)
unsupervised learning
(2)
in-context learning
(2)
Papers
Hybrid Vector-Occupancy Field for Robust Implicit 3D Surface Reconstruction
AAAI 2026
ART: Adaptive Reasoning Trees for Explainable Claim Verification
EACL 2026
Flora: Effortless Context Construction to Arbitrary Length and Scale
AAAI 2026
Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval
AAAI 2026
DeepInsert: Early Layer Bypass for Efficient and Performant Multimodal Understanding
EACL 2026
DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency
AAAI 2026
Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
ICML 2025
ROPO: Robust Preference Optimization for Large Language Models
ICML 2025
Granular loco-manipulation: Repositioning rocks through strategic sand avalanche
CORL 2025
Ranking with Multiple Oracles: From Weak to Strong Stochastic Transitivity
ICML 2025
MATH-Perturb: Benchmarking LLMsβ Math Reasoning Abilities against Hard Perturbations
ICML 2025
MUCD: Unsupervised Point Cloud Change Detection via Masked Consistency
AAAI 2025
Where Precision Meets Efficiency: Transformation Diffusion Model for Point Cloud Registration
AAAI 2025
Partial Point Cloud Registration with Multi-view 2D Image Learning
AAAI 2025
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
AAAI 2025
AdvDisplay: Adversarial Display Assembled by Thermoelectric Cooler for Fooling Thermal Infrared Detectors
AAAI 2025
Infer Humanβs Intentions Before Following Natural Language Instructions
AAAI 2025
Learning Fine-Grained Representations through Textual Token Disentanglement in Composed Video Retrieval
ICLR 2025
Structure-aware Domain Knowledge Injection for Large Language Models
ACL 2025
Should I Believe in What Medical AI Says? A Chinese Benchmark for Medication Based on Knowledge and Reasoning
ACL 2025
Detecting and Mitigating Challenges in Zero-Shot Video Summarization with Video LLMs
ACL 2025
Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
ACL 2025
Self-Play Preference Optimization for Language Model Alignment
ICLR 2025
SFS: Smarter Code Space Search improves LLM Inference Scaling
ICLR 2025
Instance-Dependent Regret Bounds for Learning Two-Player Zero-Sum Games with Bandit Feedback
COLT 2025
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
ICLR 2025
Temporal Consistency for LLM Reasoning Process Error Identification
EMNLP 2025
VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos
ICCV 2025
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
EMNLP 2025
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
EMNLP 2025
Disentangled Pose and Appearance Guidance for Multi-Pose Generation
CVPR 2025
Video Language Model Pretraining with Spatio-temporal Masking
CVPR 2025
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
CVPR 2025
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
AAAI 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NIPS 2024
Enhancing LLMβs Cognition via Structurization
NIPS 2024
M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking
AAAI 2024
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
AAAI 2024
Reliable Conflictive Multi-View Learning
AAAI 2024
Inlier Confidence Calibration for Point Cloud Registration
CVPR 2024
Automatic Controllable Colorization via Imagination
CVPR 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
CVPR 2024
PixArt-Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
ECCV 2024
HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation
ECCV 2024
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation
ECCV 2024
Large Language Models Can Be Contextual Privacy Protection Learners
EMNLP 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
EMNLP 2024
Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
ICLR 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
ICLR 2024
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
ICLR 2024
SmartPlay : A Benchmark for LLMs as Intelligent Agents
ICLR 2024
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
ICLR 2024
PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques
ICML 2024
Borda Regret Minimization for Generalized Linear Dueling Bandits
ICML 2024
Protein Conformation Generation via Force-Guided SE(3) Diffusion Models
ICML 2024
Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation
WACV 2024
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory
ICCV 2023
User-Controllable Arbitrary Style Transfer via Entropy Regularization
AAAI 2023
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
EMNLP 2023
SPRING: Studying Papers and Reasoning to play Games
NIPS 2023
Graph Generative Model for Benchmarking Graph Neural Networks
ICML 2023
Personalized Federated Learning under Mixture of Distributions
ICML 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
ACL 2023
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
NIPS 2023
Uniform-PAC Guarantees for Model-Based RL with Bounded Eluder Dimension
UAI 2023
Avoiding spurious correlations via logit correction
ICLR 2023
Prompt-aligned Gradient for Prompt Tuning
ICCV 2023
Towards Understanding the Mixture-of-Experts Layer in Deep Learning
NIPS 2022
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
NIPS 2022
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons
AISTATS 2022
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation
AISTATS 2022
Active Ranking without Strong Stochastic Transitivity
NIPS 2022
Optimizing Video Prediction via Video Frame Interpolation
CVPR 2022
FashionVLP: Vision Language Transformer for Fashion Retrieval With Feedback
CVPR 2022
Towards Understanding the Spectral Bias of Deep Learning
IJCAI 2021
Self-supervised Learning from a Multi-view Perspective
ICLR 2021
Embedding Novel Views in a Single JPEG Image
ICCV 2021
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature
CVPR 2021
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer
CVPR 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning
ICML 2021
Class-Agnostic Object Detection
WACV 2021
Demonstration-Guided Reinforcement Learning with Learned Skills
CORL 2021
Improving GAN Training with Probability Ratio Clipping and Sample Reweighting
NIPS 2020
Rethinking Classification and Localization for Object Detection
CVPR 2020
Future Video Synthesis With Object Motion Prediction
CVPR 2020
Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer
CVPR 2020
Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews
INTERSPEECH 2020
QATM: Quality-Aware Template Matching for Deep Learning
CVPR 2019
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features
CVPR 2019
Large Scale Incremental Learning
CVPR 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
CVPR 2019
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
NIPS 2018
BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization
ECCV 2018
Feature Hashing for Network Representation Learning
IJCAI 2018
Self-Organized Text Detection With Minimal Post-Processing via Border Learning
ICCV 2017
Simultaneous Facial Landmark Detection, Pose and Deformation Estimation Under Facial Occlusion
CVPR 2017
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis
CVPR 2016
Constrained Deep Transfer Feature Learning and Its Applications
CVPR 2016
Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection
CVPR 2016
Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging
ICCV 2015
Robust Facial Landmark Detection Under Significant Head Poses and Occlusion
ICCV 2015
A Hierarchical Probabilistic Model for Facial Feature Detection
CVPR 2014
Gaussian Process Volatility Model
NIPS 2014
Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines
CVPR 2013
Dynamic Covariance Models for Multivariate Financial Time Series
ICML 2013