Hello, I'm

Xiaojie Li (李潇婕)

Ph.D. Candidate

School of Computer Science and Technology
Harbin Institute of Technology (Shenzhen)

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Xiaojie Li

About Me

I am a final-year Ph.D. candidate at the School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), supervised by Prof. Min Zhang and Prof. Liqiang Nie. I collaborate closely with Prof. Jianlong Wu and Prof. Yue Yu.

Prior to my Ph.D., I worked as an Assistant Research Manager at SenseTime from 2019 to 2022. I received my Bachelor's and Master's degrees from the School of Instrumentation and Optoelectronic Engineering at Beihang University in 2016 and 2019, under the supervision of Prof. Fuqiang Zhou.

My research interests include Computer Vision, Self-supervised Learning, Multi-modal Learning, Continual Learning, and Knowledge Distillation.

Education

Harbin Institute of Technology (Shenzhen) Ph.D. in Computer Science and Technology 2022 – Present
Beihang University M.E. in Instrumentation and Optoelectronic Engineering 2016 – 2019
Beihang University B.E. in Instrumentation and Optoelectronic Engineering 2012 – 2016

Experience

SenseTime Assistant Research Manager 2019 – 2022 · Shenzhen, China

News

2024/09 One paper accepted by CVPR 2025.
2024/09 One paper accepted by NeurIPS 2024.
2024/07 One first-author paper accepted by ECCV 2024.
2024/05 One paper accepted by ICML 2024.
2023/08 Two first-author papers accepted by ACM MM 2023.

Publications

Preprint

Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning

Xiaojie Li, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang

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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

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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

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2024

CVPR 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

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NeurIPS 2024

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models

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

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ECCV 2024

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

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ICML 2024

Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation

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

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2023

ACM MM 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

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ACM MM 2023

Mask Again: Masked Knowledge Distillation for Masked Video Modeling

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

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2022

ECCV 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

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2020

ECCV 2020

Local Correlation Consistency for Knowledge Distillation

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

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NeurIPS 2020

Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space

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

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2018

ACCV 2018

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

Xiaojie Li, Lu Yang, Qing Song, Fuqiang Zhou

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Neurocomputing 2018

High-Frequency Details Enhancing DenseNet for Super-Resolution

Fuqiang Zhou, Xiaojie Li, Zuoxin Li

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Academic Services

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)
  • Pattern Recognition (PR)

Conference Reviewer

  • Neural Information Processing Systems (NeurIPS)
  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • ACM Conference on Multimedia (ACM MM)
  • International Conference on Learning Representation (ICLR)

Awards & Honors

China National Scholarship

2024

Excellent Graduate of Beijing

2019

Excellent Graduate Thesis of Beihang University

2019

China National Scholarship

2018