Zhengping Che
13 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (43)
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(7)
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(10)
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(37)
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The Questioner
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Century Club
(13)
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Keyword Collector
(64)
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Unstoppable
(6)
Conferences
AAAI (4)
CVPR (2)
ICCV (2)
ICML (2)
ECCV (1)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
knowledge distillation
(2)
robot manipulation
(2)
deep reinforcement learning
(2)
model compression
(2)
deep generative model
(2)
adversarial learning
(1)
embedding learning
(1)
reinforcement learning
(1)
computer vision
(1)
imitation learning
(1)
lottery ticket hypothesis
(1)
visual question answering
(1)
attention mechanism
(1)
knowledge transfer
(1)
autonomous driving
(1)
few-shot learning
(1)
image captioning
(1)
point cloud
(1)
depth estimation
(1)
multi-task learning
(1)
Papers
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
Training-free Generation of Temporally Consistent Rewards from VLMs
ICCV 2025
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
CP3: Channel Pruning Plug-In for Point-Based Networks
CVPR 2023
I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding
AAAI 2022
RGB-Depth Fusion GAN for Indoor Depth Completion
CVPR 2022
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
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning
ICCV 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
Generative Attention Networks for Multi-Agent Behavioral Modeling
AAAI 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control
NIPS 2020
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
ICML 2018