刘智勇｜中国科学院大学｜学者主页

2026

Fine-Grained Multimodal Alignment for Image-Text Retrieval via Graph Learning

Mao Chen, Xiangkai Zhang, Lu Qi, Xiangtai Li, Xu Yang, Steven C. H. Hoi, Zhiyong Liu, Ming–Hsuan Yang

International Journal of Computer Vision

DOI

2026

DGSeg: Dynamic Gating of Semantic–Spatial Guided Predictions for Reasoning Segmentation

Ruizhe Zeng, Siyu Cao, Lu Zhang, Zhiyong Liu

Lecture notes in computer science

DOI

2025

Zero-Shot Adaptation at Task-Level via Coarse-to-Fine Policy Refinement and Holistic-Local Contrastive Representation

Zhengwei Li, Zhenyang Lin, Yurou Chen, Lu Zhang, Zhiyong Liu

IEEE Robotics and Automation Letters

DOI

2025

AutoSkill: Hierarchical Open-Ended Skill Acquisition for Long-Horizon Manipulation Tasks via Language-Modulated Rewards

Zhenyang Lin, Yurou Chen, Zhiyong Liu

IEEE Transactions on Cognitive and Developmental Systems

DOI

2025

Adaptive Video-Conditioned Imitation Learning via Bidirectional Cross-Domain Skill Transfer

Zhenyang Lin, Yurou Chen, Zhengwei Li, Xianxiang Zhang, Bin Liang, Zhiyong Liu

IEEE Transactions on Automation Science and Engineering

DOI

2025

Boosting Open-Vocabulary Object Detection by Handling Background Samples

Ruizhe Zeng, Lu Zhang, Xu Yang, Zhiyong Liu

Communications in computer and information science

DOI

2024

Outlier Robust Feature Correspondence by Learning Based Matching Process

Xu Yang, Shaofeng Zeng, Zhiyong Liu

Journal of Systems Science and Complexity

DOI

2024

Hierarchical Human-to-Robot Imitation Learning for Long-Horizon Tasks via Cross-Domain Skill Alignment

Zhenyang Lin, Yurou Chen, Zhiyong Liu

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2024

Enhancing class-incremental object detection in remote sensing through instance-aware distillation

Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu

Neurocomputing

DOI

2024

Active domain adaptation for semantic segmentation via dynamically balancing domainness and uncertainty

Siqi Zhang, Lu Zhang, Zhiyong Liu

Image and Vision Computing

DOI

2023

基于共轴双旋翼无人机的目标检测与薄弱位置定位系统设计

冯航涛，曾少锋，张璐，杨旭，刘智勇

《中国科学院大学学报(中英文)》

2023

Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning

Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming–Hsuan Yang, Zhiyong Liu

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2023

Sketch RL: Interactive Sketch Generation for Long-Horizon Tasks via Vision-Based Skill Predictor

Zhenyang Lin, Yurou Chen, Zhiyong Liu

IEEE Robotics and Automation Letters

DOI

2023

Multi-Prototype Guided Source-Free Domain Adaptive Object Detection for Autonomous Driving

Siqi Zhang, Lu Zhang, Guangsen Li, Pengcheng Li, Zhiyong Liu

IEEE Transactions on Intelligent Vehicles

DOI

2023

RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs

Hangtao Feng, Lu Zhang, Siqi Zhang, Dong Wang, Xu Yang, Zhiyong Liu

Image and Vision Computing

DOI

2023

Adaptive bias-variance trade-off in advantage estimator for actor–critic algorithms

Yurou Chen, Fengyi Zhang, Zhiyong Liu

Neural Networks

DOI

2023

Semantic Policy Network for Zero-Shot Object Goal Visual Navigation

Qianfan Zhao, Lu Zhang, Bin He, Zhiyong Liu

IEEE Robotics and Automation Letters

DOI

2023

Policy generation network for zero‐shot policy learning

Yiming Qian, Fengyi Zhang, Zhiyong Liu

Computational Intelligence

DOI

2023

Zero-Shot Object Goal Visual Navigation

Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2023

Efficient push-grasping for multiple target objects in clutter environments

Liangdong Wu, Yurou Chen, Zhengwei Li, Zhiyong Liu

Frontiers in Neurorobotics

DOI

2023

Refined Pseudo Labeling for Source-Free Domain Adaptive Object Detection

Siqi Zhang, Lu Zhang, Zhiyong Liu

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2023

FIT: Frequency-Based Image Translation for Domain Adaptive Object Detection

Siqi Zhang, Lu Zhang, Zhiyong Liu, Hangtao Feng

Lecture notes in computer science

DOI

2023

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation

Lu Zhang, Siqi Zhang, Yang Xu, Hong Qiao, Zhiyong Liu

Proceedings - IEEE International Conference on Robotics and Automation/Proceedings

DOI

2023

Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation

Lu Zhang, Xu Yang, Lu Qi, Shaofeng Zeng, Zhiyong Liu

Computer Vision and Image Understanding

DOI

2022

Markovian policy network for efficient robot learning

Fengyi Zhang, Yurou Chen, Zhiyong Liu

Neurocomputing

DOI

2022

A Learning Method for Feature Correspondence with Outliers

Xu Yang, Shaofeng Zeng, Yu Han, Yu-Chen Lu, Zhiyong Liu

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2022

SURRL: Structural Unsupervised Representations for Robot Learning

Fengyi Zhang, Yurou Chen, Hong Qiao, Zhiyong Liu

IEEE Transactions on Cognitive and Developmental Systems

DOI

2022

A Survey of Multifingered Robotic Manipulation: Biological Results, Structural Evolvements, and Learning Methods

Yinlin Li, Peng Wang, Rui Li, Mo Tao, Zhiyong Liu, Hong Qiao

Frontiers in Neurorobotics

DOI

2022

A Real 3D Embodied Dataset for Robotic Active Visual Learning

Qianfan Zhao, Lu Zhang, Lingxi Wu, Hong Qiao, Zhiyong Liu

IEEE Robotics and Automation Letters

DOI

2022

Incremental few-shot object detection via knowledge transfer

Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu

Pattern Recognition Letters

DOI

2021

Weakly Aligned Feature Fusion for Multimodal Object Detection

Lu Zhang, Zhiyong Liu, Xiangyu Zhu, Zhan Ping Song, Xu Yang, Zhen Lei, Hong Qiao

IEEE Transactions on Neural Networks and Learning Systems

DOI

2021

Graph matching based on fast normalized cut and multiplicative update mapping

Jing Yang, Xu Yang, Zhangbing Zhou, Zhiyong Liu

Pattern Recognition

DOI

2021

Adaptive Advantage Estimation for Actor-Critic Algorithms

Yurou Chen, Fengyi Zhang, Zhiyong Liu

DOI

2021

Probabilistic Graph Matching with Multiplicative Updating Algorithm for Correspondence between Remote Sensing Images

Jing Yang, Xu Yang, Zhangbing Zhou, Zhiyong Liu

DOI

2020

WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning

Fengyi Zhang, Zhiyong Liu, Fangzhou Xiong, Jianhua Su, Hong Qiao

Robotics and Autonomous Systems

DOI

2020

State Primitive Learning to Overcome Catastrophic Forgetting in Robotics

Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Hong Qiao

Cognitive Computation

DOI

2020

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning

Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Hong Qiao, Amir Hussain

Neural Networks

DOI

2020

Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning

Yiming Qian, Fangzhou Xiong, Zhiyong Liu

Communications in computer and information science

DOI

2019

Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation

Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang, Amir Hussain

IEEE ... International Conference on Data Mining workshops

DOI

2019

Integrated thermal assembly using hierarchical kernel regression method

Jianhua Su, Bin Chen, Chuankai Liu, Xu Yang, Zhiyong Liu, Hong Qiao

Advanced Robotics

DOI

2019

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, Zhiyong Liu

IEEE/CVF International Conference on Computer Vision (ICCV)

DOI

2019

Sub-hypergraph matching based on adjacency tensor

Jing Yang, Xu Yang, Zhangbing Zhou, Zhiyong Liu

Computer Vision and Image Understanding

DOI

2019

Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure

Fengyi Zhang, Fangzhou Xiong, Xu Yang, Zhiyong Liu

Lecture notes in computer science

DOI

2018

Cross-modality interactive attention network for multispectral pedestrian detection

Lu Zhang, Zhiyong Liu, Shifeng Zhang, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain

Information Fusion

DOI

2018

Single Shot Feature Aggregation Network for Underwater Object Detection

Lu Zhang, Xu Yang, Zhiyong Liu, Lu Qi, Hao Zhou, Charles Chiu

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2018

Graph Matching Based on Fast Normalized Cut

Jing Yang, Xu Yang, Zhangbing Zhou, Zhiyong Liu

Lecture notes in computer science

DOI

2017

Probabilistic hypergraph matching based on affinity tensor updating

Xu Yang, Zhiyong Liu, Hong Qiao, Jianhua Su

Neurocomputing

DOI

2017

Adaptive Graph Matching

Xu Yang, Zhiyong Liu

IEEE Transactions on Cybernetics

DOI

2017

Incorporating Discrete Constraints Into Random Walk-Based Graph Matching

Xu Yang, Zhiyong Liu, Hong Qiaoxu

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2017

An Algorithm for Finding the Most Similar Given Sized Subgraphs in Two Weighted Graphs

Xu Yang, Hong Qiao, Zhiyong Liu

IEEE Transactions on Neural Networks and Learning Systems

DOI

2017

A Linear Online Guided Policy Search Algorithm

Biao Sun, Fangzhou Xiong, Zhiyong Liu, Xu Yang, Hong Qiao

Lecture notes in computer science

DOI

2017

A Bayesian Posterior Updating Algorithm in Reinforcement Learning

Fangzhou Xiong, Zhiyong Liu, Xu Yang, Biao Sun, Charles Chiu, Hong Qiao

Lecture notes in computer science

DOI

2016

Point correspondence by a new third order graph matching algorithm

Xu Yang, Hong Qiao, Zhiyong Liu

Pattern Recognition

DOI

2016

LibCoopt: A library for combinatorial optimization on partial permutation matrices

Zhiyong Liu, Jing-Jing Wang, Xu Yang, Shihao Feng

Neurocomputing

DOI

2016

Stitching contaminated images

Chuan Li, Zhiyong Liu, Xu Yang, Hong Qiao, Jianhua Su

Neurocomputing

DOI

精选作品

期刊论文

Fine-Grained Multimodal Alignment for Image-Text Retrieval via Graph Learning

DGSeg: Dynamic Gating of Semantic–Spatial Guided Predictions for Reasoning Segmentation

Zero-Shot Adaptation at Task-Level via Coarse-to-Fine Policy Refinement and Holistic-Local Contrastive Representation

AutoSkill: Hierarchical Open-Ended Skill Acquisition for Long-Horizon Manipulation Tasks via Language-Modulated Rewards

Adaptive Video-Conditioned Imitation Learning via Bidirectional Cross-Domain Skill Transfer

Boosting Open-Vocabulary Object Detection by Handling Background Samples

Outlier Robust Feature Correspondence by Learning Based Matching Process

Hierarchical Human-to-Robot Imitation Learning for Long-Horizon Tasks via Cross-Domain Skill Alignment

Enhancing class-incremental object detection in remote sensing through instance-aware distillation

Active domain adaptation for semantic segmentation via dynamically balancing domainness and uncertainty

基于共轴双旋翼无人机的目标检测与薄弱位置定位系统设计

Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning

Sketch RL: Interactive Sketch Generation for Long-Horizon Tasks via Vision-Based Skill Predictor

Multi-Prototype Guided Source-Free Domain Adaptive Object Detection for Autonomous Driving

RTDOD: A large-scale RGB-thermal domain-incremental object detection dataset for UAVs

Adaptive bias-variance trade-off in advantage estimator for actor–critic algorithms

Semantic Policy Network for Zero-Shot Object Goal Visual Navigation

Policy generation network for zero‐shot policy learning

Zero-Shot Object Goal Visual Navigation

Efficient push-grasping for multiple target objects in clutter environments

Refined Pseudo Labeling for Source-Free Domain Adaptive Object Detection

FIT: Frequency-Based Image Translation for Domain Adaptive Object Detection

Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation

Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation

Markovian policy network for efficient robot learning

A Learning Method for Feature Correspondence with Outliers

SURRL: Structural Unsupervised Representations for Robot Learning

A Survey of Multifingered Robotic Manipulation: Biological Results, Structural Evolvements, and Learning Methods

A Real 3D Embodied Dataset for Robotic Active Visual Learning

Incremental few-shot object detection via knowledge transfer

Weakly Aligned Feature Fusion for Multimodal Object Detection

Graph matching based on fast normalized cut and multiplicative update mapping

Adaptive Advantage Estimation for Actor-Critic Algorithms

Probabilistic Graph Matching with Multiplicative Updating Algorithm for Correspondence between Remote Sensing Images

WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning

State Primitive Learning to Overcome Catastrophic Forgetting in Robotics

Encoding primitives generation policy learning for robotic arm to overcome catastrophic forgetting in sequential multi-tasks learning

Intra-domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning

Primitives Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation

Integrated thermal assembly using hierarchical kernel regression method

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Sub-hypergraph matching based on adjacency tensor

Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure

Cross-modality interactive attention network for multispectral pedestrian detection

Single Shot Feature Aggregation Network for Underwater Object Detection

Graph Matching Based on Fast Normalized Cut

Probabilistic hypergraph matching based on affinity tensor updating

Adaptive Graph Matching

Incorporating Discrete Constraints Into Random Walk-Based Graph Matching

An Algorithm for Finding the Most Similar Given Sized Subgraphs in Two Weighted Graphs

A Linear Online Guided Policy Search Algorithm

A Bayesian Posterior Updating Algorithm in Reinforcement Learning

Point correspondence by a new third order graph matching algorithm

LibCoopt: A library for combinatorial optimization on partial permutation matrices

Stitching contaminated images

会议论文

Learning Individual Features to Decompose State Space for Robotic Skill Learning

研究方向