Postdoctoral Fellow

Xiaojie Li 李潇婕

I am a Postdoctoral Fellow in the Department of Computing at The Hong Kong Polytechnic University, working with Prof. Changwen Chen. I received my Ph.D. in Computer Science and Technology from Harbin Institute of Technology (Shenzhen), supervised by Prof. Min Zhang and Prof. Liqiang Nie, and collaborate closely with Prof. Jianlong Wu and Prof. Yue Yu. Before my Ph.D., I was a Research Manager at SenseTime from 2019 to 2022.

Portrait of Xiaojie Li
Research Interests:
Embodied IntelligenceVision-Language NavigationComputer VisionMultimodal LearningContinual LearningSelf-supervised LearningKnowledge Distillation
xiaojieli0903@gmail.com Google Scholar xiaojieli0903

Career & Education

Selected News

2026/07Two papers accepted by ACM MM 2026.
2026/07Joined the Department of Computing at The Hong Kong Polytechnic University as a Postdoctoral Fellow.
2025One paper accepted by CVPR 2025.
2024Papers accepted by NeurIPS, ECCV, and ICML 2024.
2023Two first-author papers accepted by ACM MM 2023.

Publications

* Equal contribution    ^ Corresponding author

2026

Continuous Knowledge-Preserving Decomposition with Adaptive Layer Selection for Few-Shot Class-Incremental Learning

Xiaojie Li, Wei Liu, Bei Wang, Jianlong Wu^, Yue Yu, Min Zhang

ACM MM 2026 PDF Code

AirForesight: Current-to-Future Spatial Map Imagination with Cross-Space Planning Consistency for UAV-VLN

Yutong Liu*, Xiaojie Li*^, Mingzhu Xu, Jianlong Wu^

ACM MM 2026

Preprint

Multi-Source Adaptive Generative Augmentation for Quality-Driven Contrastive Representation Learning

Xiaojie Li, Bei Wang, Wei Liu, Jianlong Wu^, Yue Yu, Liqiang Nie, Min Zhang

Preprint PDF Code

Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning

Xiaojie Li, Yibo Yang, Jianlong Wu^, Yue Yu, Ming-Hsuan Yang, Liqiang Nie, Min Zhang

Preprint PDF Code

2025

Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization

Sihao Liu, Yibo Yang^, Xiaojie Li, David A. Clifton, Bernard Ghanem

CVPR 2025 PDF

2024

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning

Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie^, Bernard Ghanem^

NeurIPS 2024 PDF Code

GenView: Enhancing View Quality with a Pretrained Generative Model for Self-Supervised Learning

Xiaojie Li, Yibo Yang^, Xiangtai Li, Jianlong Wu^, Yue Yu, Bernard Ghanem, Min Zhang

ECCV 2024 PDF Code

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem

ICML 2024 PDF

2023

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning

Xiaojie Li, Jianlong Wu^, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang

ACM MM 2023 PDF Code

Mask Again: Masked Knowledge Distillation for Masked Video Modeling

Xiaojie Li, Shaowei He, Jianlong Wu^, Yue Yu, Liqiang Nie^, Min Zhang

ACM MM 2023 PDF Code

2022

HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors

Luting Wang, Xiaojie Li, Yue Liao^, Zeren Jiang, Jianlong Wu, Fei Wang, Chen Qian, Si Liu

ECCV 2022 PDF Code

2020

Local Correlation Consistency for Knowledge Distillation

Xiaojie Li, Jianlong Wu^, Hongyu Fang, Yue Liao, Fei Wang, Chen Qian

ECCV 2020 PDF

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space

Shangchen Du*, Shan You*^, Xiaojie Li, Jianlong Wu^, Fei Wang, Chen Qian, Changshui Zhang

NeurIPS 2020 PDF

2018

Detector-in-Detector: Multi-level Analysis for Human-Parts

Xiaojie Li, Lu Yang, Qing Song, Fuqiang Zhou

ACCV 2018 PDF

High-Frequency Details Enhancing DenseNet for Super-Resolution

Fuqiang Zhou, Xiaojie Li, Zuoxin Li

Neurocomputing 2018 PDF

Academic Service

  Journal Reviewer

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Pattern Recognition (PR)

  Conference Reviewer

  • Neural Information Processing Systems (NeurIPS)
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • International Conference on Machine Learning (ICML)
  • ACM International Conference on Multimedia (ACM MM)
  • International Conference on Learning Representations (ICLR)

Awards

2024China National Scholarship
2019Excellent Graduate of Beijing
2019Excellent Graduate Thesis of Beihang University
2018China National Scholarship