Yichen Zhu
26 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (12)
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Academic Marathon
(7)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(12)
🔥
Unstoppable
(5)
💎
Century Club
(26)
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Prolific Year
(10)
🗃️
Keyword Collector
(110)
Conferences
NIPS (5)
ICML (4)
IJCAI (4)
AAAI (3)
ICCV (3)
CVPR (2)
ECCV (2)
EMNLP (2)
CORL (1)
Top co-authors
Keywords
knowledge distillation
(6)
model compression
(4)
3d visual grounding
(2)
vision-language-action model
(2)
few-shot learning
(2)
point cloud
(2)
multimodal large language model
(2)
multimodal learning
(2)
multi-task learning
(2)
retrieval-augmented generation
(2)
embodied agent
(2)
teacher model
(2)
multi-modal 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
DiffusionVLA: Scaling Robot Foundation Models via Unified Diffusion and Autoregression
ICML 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
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
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
Safety of Multimodal Large Language Models on Images and Text
IJCAI 2024
Action Imitation in Common Action Space for Customized Action Image Synthesis
NIPS 2024
Retrieval-Augmented Embodied Agents
CVPR 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NIPS 2024
Non-confusing Generation of Customized Concepts in Diffusion Models
ICML 2024
Any2Policy: Learning Visuomotor Policy with Any-Modality
NIPS 2024
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
NIPS 2024
MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models
ECCV 2024
3DRP-Net: 3D Relative Position-aware Network for 3D Visual Grounding
EMNLP 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 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
Label-Guided Auxiliary Training Improves 3D Object Detector
ECCV 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
NIPS 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
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
ICML 2018
Nonoverlap-Promoting Variable Selection
ICML 2018