Zhiyuan Xu
17 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(12)
Deep Learning
(9)
Artificial Intelligence
(7)
Computer Vision
(7)
Application Areas
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Core AI
(7)
Learning Types Β· Machine Learning
(7)
Reinforcement Learning
(5)
Analysis
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Optimization & Theory
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Keywords
model compression
(4)
robot manipulation
(3)
knowledge distillation
(3)
multi-task learning
(2)
student model
(2)
deep reinforcement learning
(2)
teacher model
(2)
depth estimation
(2)
neural network
(2)
visual question answering
(1)
hyperparameter optimization
(1)
policy gradient
(1)
adversarial learning
(1)
self-supervised learning
(1)
computer vision
(1)
imitation learning
(1)
reinforcement learning
(1)
image captioning
(1)
autonomous driving
(1)
multimodal learning
(1)
Papers
TSPE-GS: Probabilistic Depth Extraction for Semi-Transparent Surface Reconstruction via 3D Gaussian Splatting
AAAI 2026
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
AAAI 2025
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
EMNLP 2025
Diffusion-Based Visual Anagram as Multi-Task Learning
WACV 2025
Positive2Negative: Breaking the Information-Lossy Barrier in Self-Supervised Single Image Denoising
CVPR 2025
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective
AAAI 2024
CP3: Channel Pruning Plug-In for Point-Based Networks
CVPR 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023
CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving
AAAI 2022
Label-Guided Auxiliary Training Improves 3D Object Detector
ECCV 2022
RGB-Depth Fusion GAN for Indoor Depth Completion
CVPR 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
NeurIPS 2022
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
ICCV 2021
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
AAAI 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NeurIPS 2020