Yichen Zhu
26 papers · 2018–2025 · 9 venues · across top CS/AI venues
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Achievements
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Keyword Collector
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Top co-authors
Research topics
Machine Learning
(18)
Artificial Intelligence
(12)
Learning Types Β· Machine Learning
(11)
Deep Learning
(10)
Core AI
(9)
Application Areas
(8)
Learning Types Β· Deep Learning
(6)
Computer Vision
(5)
Models
(5)
Core Methods
(4)
Learning Paradigms
(4)
Robotics
(3)
Analysis
(3)
Capabilities
(3)
Optimization & Theory
(3)
Keywords
knowledge distillation
(6)
model compression
(4)
multimodal learning
(3)
3d visual grounding
(2)
few-shot learning
(2)
point cloud
(2)
vision-language-action model
(2)
diffusion model
(2)
embodied agent
(2)
retrieval-augmented generation
(2)
multimodal large language model
(2)
teacher model
(2)
multi-task learning
(2)
image synthesis
(2)
student model
(2)
weakly supervised learning
(1)
graph classification
(1)
action recognition
(1)
policy gradient
(1)
convex optimization
(1)
Papers
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
AAAI 2025
Active Multimodal Distillation for Few-shot Action Recognition
IJCAI 2025
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
EMNLP 2025
CoA-VLA: Improving Vision-Language-Action Models via Visual-Text Chain-of-Affordance
ICCV 2025
DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
CoRL 2025
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
ICML 2025
Action Imitation in Common Action Space for Customized Action Image Synthesis
NeurIPS 2024
Any2Policy: Learning Visuomotor Policy with Any-Modality
NeurIPS 2024
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
NeurIPS 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
ECCV 2024
Non-confusing Generation of Customized Concepts in Diffusion Models
ICML 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
Retrieval-Augmented Embodied Agents
CVPR 2024
Safety of Multimodal Large Language Models on Images and Text
IJCAI 2024
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
EMNLP 2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding
ICCV 2023
Prediction with Incomplete Data under Agnostic Mask Distribution Shift
IJCAI 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023
Label-Guided Auxiliary Training Improves 3D Object Detector
ECCV 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
NeurIPS 2022
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher
ICCV 2021
LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
IJCAI 2019
Nonoverlap-Promoting Variable Selection
ICML 2018
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
ICML 2018