CV

Education

• Ph.D. Candidate in Information and Communication Engineering, Southwest Jiaotong University, Chengdu, China, 2017 - 2025
  • Advisors: Prof. Turgay Celik, Prof. Hengchao Li
• B.S. in Electronic Information Engineering, Wuhan University of Science and Technology, Wuhan, China, 2012 - 2016

Research Experience

• Feb 2023 - Aug 2024: Research Intern
  • Infocomm Research (I2R), A*STAR, Singapore
  • Advisor: Dr. Xun Xu
  • Projects:
    • Open-set semi-supervised object detection
    • Source-free domain adaptation for object detection
    • Weakly-supervised Segment Anything Model
• Aug 2024 - Dec 2024: Research Intern
  • Centre for Frontier AI Research (CFAR), A*STAR, Singapore
  • Advisor: Dr. Foo Chuan Sheng
  • Projects:
    • Improving robustness of object detection against common perturbations and adversarial attacks

Skills

• Deep Learning & Computer Vision
  • PyTorch, TensorFlow
  • Object Detection (Faster R-CNN, YOLO, DETR)
  • Image Segmentation (SAM, U-Net)
• Remote Sensing Image Analysis
• Programming: Python, MATLAB, C++

Honors & Awards

• 2024: IEEE GRSS Travel Grant, IGARSS 2024, Athens, Greece
• 2020: Huawei Second-Class Scholarship, Chengdu, China

Academic Service

• Guest Editor: Future Internet
• Journal Reviewer: TIP, TCSVT, GRSM, TGRS, ISPRS, TIM, JSTARS, GRSL
• Conference Reviewer: NeurIPS 2026, ECCV 2026, CVPR 2026, IGARSS 2025/2026, ACM MM 2024/2025/2026, ICONIP 2023
• Membership: IEEE Member

Publications

Reference and Attention Guided Few-Shot Adaptation of Segment Anything Model for Remote Sensing Images

On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning

M2S-DETR: A Mixed Receptive Field and Multi-Position Encoding for Scale-Sensitive SAR Ship Detection with Transformer

Exploring Generalizable Pre-training for Real-world Change Detection via Geometric Estimation

PointSAM: Pointly-Supervised Segment Anything Model for Remote Sensing Images

Memory-Augmented Differential Network for Infrared Small Target Detection

Few-Shot Object Detection With Contrastive Enhancement Loss Guided by Object Association Graph in Remote Sensing Images

PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection

Toward distortion-aware change detection in realistic scenarios

CLIP-guided Source-free Object Detection in Aerial Images

A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection

SSLChange: A Self-Supervised Change Detection Framework Based on Domain Adaptation

COUD: Continual Urbanization Detector for Time Series Building Change Detection

IDA-SiamNet: Interactive- and Dynamic-Aware Siamese Network for Building Change Detection

Semi-supervised object detection with uncurated unlabeled data for remote sensing images

Cascade Meta-RCNN for Few-shot Object Detection

Transformation-Invariant Network for Few-Shot Object Detection in Remote-Sensing Images

Break Through the Border Restriction of Horizontal Bounding Box for Arbitrary-Oriented Ship Detection in SAR Images

Masked Second-Order Pooling for Few-Shot Remote-Sensing Scene Classification

A Comparative Analysis of GAN-Based Methods for SAR-to-Optical Image Translation

Gated Ladder-Shaped Feature Pyramid Network for Object Detection in Optical Remote Sensing Images

An Arbitrary-Oriented Object Detector Based on Variant Gaussian Label in Remote Sensing Images

AFDet: Toward More Accurate and Faster Object Detection in Remote Sensing Images

MSNet: A Multiple Supervision Network for Remote Sensing Scene Classification

Talks

Conference Proceeding talk 3 on Relevant Topic in Your Field

March 01, 2014

Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA

Talk 2 on Relevant Topic in Your Field

February 01, 2014

Talk at London School of Testing, London, UK

Tutorial 1 on Relevant Topic in Your Field

March 01, 2013

Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA

Talk 1 on Relevant Topic in Your Field

March 01, 2012

Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA

Teaching

Teaching experience 2

Teaching experience 1