Hengtao Shen
13 papers · 2022–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (37) 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🗃️
Keyword Collector
(80)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Deep Learning
(7)
Learning Types · Machine Learning
(6)
Artificial Intelligence
(4)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Optimization & Theory · Machine Learning
(4)
Application Areas
(3)
Core AI
(3)
Techniques
(3)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Keywords
representation learning
(3)
low-rank adaptation
(2)
parameter-efficient fine-tuning
(2)
vision transformer
(2)
catastrophic forgetting
(1)
benchmark evaluation
(1)
contrastive learning
(1)
few-shot learning
(1)
continual learning
(1)
image generation
(1)
probabilistic modeling
(1)
robotic navigation
(1)
domain generalization
(1)
transfer learning
(1)
feature extraction
(1)
anomaly detection
(1)
domain adaptation
(1)
image retrieval
(1)
uncertainty quantification
(1)
metric learning
(1)
Papers
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
ICCV 2025
Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
CoRL 2025
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
CVPR 2025
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
CVPR 2024
Alleviating Hallucinations in Large Vision-Language Models through Hallucination-Induced Optimization
NeurIPS 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NeurIPS 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
NeurIPS 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
CoRL 2024
DETA: Denoised Task Adaptation for Few-Shot Learning
ICCV 2023
ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition
ICCV 2023
Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval
NeurIPS 2023
Self-Weighted Contrastive Learning among Multiple Views for Mitigating Representation Degeneration
NeurIPS 2023
A Lower Bound of Hash Codes' Performance
NeurIPS 2022