2026

RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation

Zijia Tang*, Ganlong Zhao*, Xingping Chen, Junye Chen, Zihao Mo, Zedi Wang, Guanbin Li (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS), Evaluations & Datasets track 2026

RecoverBench: A Systematic Benchmark for Error Recovery in Robotic Manipulation

Zijia Tang*, Ganlong Zhao*, Xingping Chen, Junye Chen, Zihao Mo, Zedi Wang, Guanbin Li (* equal contribution)

Advances in Neural Information Processing Systems (NeurIPS), Evaluations & Datasets track 2026

ACE-Ego-Hand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion Recovery

Yufei Liu, Xixi Wang, Hao Li, Ganlong Zhao, Kaitong Cai, Chengkai Jin, Chunxiao Liu, Jianbo Liu, Siyuan Huang, Xingang Pan, Hongsheng Li

arXiv preprint 2026

[Paper] [Project]

ACE-Ego-Hand: Repurposing Video Diffusion Models for Occlusion-Robust Egocentric 3D Hand Motion Recovery

Yufei Liu, Xixi Wang, Hao Li, Ganlong Zhao, Kaitong Cai, Chengkai Jin, Chunxiao Liu, Jianbo Liu, Siyuan Huang, Xingang Pan, Hongsheng Li

arXiv preprint 2026

[Paper] [Project]

3DGS-HPC: Distractor-Free 3D Gaussian Splatting with Hybrid Patch-Wise Classification

Jiahao Chen, Yipeng Qin, Ganlong Zhao, Xin Li, Wenping Wang, Guanbin Li

International Conference on Machine Learning (ICML) 2026

3DGS-HPC: Distractor-Free 3D Gaussian Splatting with Hybrid Patch-Wise Classification

Jiahao Chen, Yipeng Qin, Ganlong Zhao, Xin Li, Wenping Wang, Guanbin Li

International Conference on Machine Learning (ICML) 2026

NavGemini: A Multi-Modal LLM Agent for Vision-and-Language Navigation

Ganlong Zhao, Guanbin Li, Yizhou Yu

Visual Intelligence 2026

[Paper]

NavGemini: A Multi-Modal LLM Agent for Vision-and-Language Navigation

Ganlong Zhao, Guanbin Li, Yizhou Yu

Visual Intelligence 2026

[Paper]

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning*, Ganlong Zhao*, Yipeng Qin, Si Liu, Yang Liu, Liang Lin, Guanbin Li (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

LookasideVLN: Direction-Aware Aerial Vision-and-Language Navigation

Yuwei Ning*, Ganlong Zhao*, Yipeng Qin, Si Liu, Yang Liu, Liang Lin, Guanbin Li (* equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation

Ganlong Zhao, Zijia Tang, Xingping Chen, Zhanghui Kuang, Ye Tian, Guanbin Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

FLARE: A Failure-Aware Framework for Autonomous Correction and Recovery in Visual-Language Robotic Manipulation

Ganlong Zhao, Zijia Tang, Xingping Chen, Zhanghui Kuang, Ye Tian, Guanbin Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2026

ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

Hao Li*, Ganlong Zhao*#, Yufei Liu*, Haotian Hou*, Guoquan Ye, Tongyan Fang, Chunxiao Liu, Siyuan Huang#, Jianbo Liu, Xiaogang Wang, Hongsheng Li (* equal contribution, # project lead)

Conference on Robot Learning (CoRL) 2026

[Paper] [Code] [Project]

ACE-Ego-0: Unifying Egocentric Human and Robotic Data for VLA Pretraining

Hao Li*, Ganlong Zhao*#, Yufei Liu*, Haotian Hou*, Guoquan Ye, Tongyan Fang, Chunxiao Liu, Siyuan Huang#, Jianbo Liu, Xiaogang Wang, Hongsheng Li (* equal contribution, # project lead)

Conference on Robot Learning (CoRL) 2026

[Paper] [Code] [Project]

Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes

Tongyan Fang, Siyuan Huang, Naiyu Fang, Ganlong Zhao, Zhongjin Luo, Jianbo Liu, Xiaogang Wang, Ying Dong, Hongsheng Li

arXiv preprint 2026

[Paper]

Hierarchical Advantage Weighting for Online RL Fine-Tuning of VLAs from Sparse Episode Outcomes

Tongyan Fang, Siyuan Huang, Naiyu Fang, Ganlong Zhao, Zhongjin Luo, Jianbo Liu, Xiaogang Wang, Ying Dong, Hongsheng Li

arXiv preprint 2026

[Paper]

Bridging the Agent-World Gap: Text World Models for LLM-based Agents

Yixia Li, Hongru Wang, Peng Lai, Zhiwen Ruan, He Zhu, Youxin Zhu, Ganlong Zhao, Minda Hu, Yun Chen, Sibei Yang, Peng Li, Jeff Z. Pan, Jia Pan, Guanhua Chen, Yang Liu, Guanbin Li

arXiv preprint 2026

[Paper]

Bridging the Agent-World Gap: Text World Models for LLM-based Agents

Yixia Li, Hongru Wang, Peng Lai, Zhiwen Ruan, He Zhu, Youxin Zhu, Ganlong Zhao, Minda Hu, Yun Chen, Sibei Yang, Peng Li, Jeff Z. Pan, Jia Pan, Guanhua Chen, Yang Liu, Guanbin Li

arXiv preprint 2026

[Paper]

2025

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction

Ganlong Zhao, Guanbin Li, Jia Pan, Yizhou Yu

arXiv preprint 2025

[Paper]

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction

Ganlong Zhao, Guanbin Li, Jia Pan, Yizhou Yu

arXiv preprint 2025

[Paper]

Enhancing Out-of-Distribution Detection via Diversified Multi-Prototype Contrastive Learning
Enhancing Out-of-Distribution Detection via Diversified Multi-Prototype Contrastive Learning

Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li

Pattern Recognition 2025

[Paper]

Enhancing Out-of-Distribution Detection via Diversified Multi-Prototype Contrastive Learning

Yulong Jia, Jiaming Li, Ganlong Zhao, Shuangyin Liu, Weijun Sun, Liang Lin, Guanbin Li

Pattern Recognition 2025

[Paper]

2024

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation

Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and Structured Representation

Ganlong Zhao, Guanbin Li, Weikai Chen, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024

[Paper] [Code]

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

International Journal of Computer Vision (IJCV) 2024

[Paper]

Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning

Ganlong Zhao, Guanbin Li, Yipeng Qin, Jinjin Zhang, Zhenhua Chai, Xiaolin Wei, Liang Lin, Yizhou Yu

International Journal of Computer Vision (IJCV) 2024

[Paper]

GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-Based Factor Modeling
GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-Based Factor Modeling

Yulong Jia, Guanxing Li, Ganlong Zhao, Xiangru Lin, Guanbin Li

ACM International Conference on Information and Knowledge Management (CIKM) 2024 Short Paper

[Paper]

GraphVAE: Unveiling Dynamic Stock Relationships with Variational Autoencoder-Based Factor Modeling

Yulong Jia, Guanxing Li, Ganlong Zhao, Xiangru Lin, Guanbin Li

ACM International Conference on Information and Knowledge Management (CIKM) 2024 Short Paper

[Paper]

2023

Improved Distribution Matching for Dataset Condensation
Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[Paper] [Code]

Improved Distribution Matching for Dataset Condensation

Ganlong Zhao, Guanbin Li, Yipeng Qin, Yizhou Yu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023

[Paper] [Code]

2022

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

European Conference on Computer Vision (ECCV) 2022

[Paper] [Code]

Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels

Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu

European Conference on Computer Vision (ECCV) 2022

[Paper] [Code]

2020

Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]

Collaborative Training Between Region Proposal Localization and Classification for Domain Adaptive Object Detection

Ganlong Zhao, Guanbin Li, Ruijia Xu, Liang Lin

European Conference on Computer Vision (ECCV) 2020

[Paper] [Code]