I am a fourth-year Ph.D. student in SmileLab at Northeastern University supervised by Prof. Yun Raymond Fu. My current research interests lie in Machine Learning and Computer Vision, especially sparse network training, multi-view learning, time series analysis, etc. I have also spent time at Adobe Research as a research intern.

• 2023.09: One paper is accpeted by NeurIPS 2023 for graph sparse learning.
• 2023.09: One paper is accpeted by ICDM 2023 for deepfake detection.
• 2023.06: Start my internship at Allen AI (AI2), Seattle, WA.
• 2023.02: One paper is accpeted by CVPR 2023 for adaptive-inference video recognition.
• 2022.11: One paper is accepted by AAAI 2023 for layout representation learning.
• 2022.10: One paper is accepted by IEEE Transactions on Image Processing (TIP) for human motion segmentation.
• 2022.09: Two papers are accepted by NeurIPS 2022 .
• 2022.06: Start my internship at Adobe Research, San Jose, CA (remotely).
• 2022.01: One paper is accepted by ICLR 2022 .
• 2021.12: One paper is accepted by SDM 2022 .
• 2021.06: Start my internship at Adobe Research, San Jose, CA (remotely).
• 2021.03: Our team won the 1st Prize in both RGB and RGB-D tracks of CVPR21 Challenge on Large Scale Signer Independent Isolated Sign Language Recognition [code] [link] [news].
• 2021.01: One paper is accepted by AAAI 2021 .
• 2020.09: One paper is accepted by ICDM 2020 .
• 2020.05: One paper is accepted by ECCV 2020 .
• 2020.01: Begin my new journey at Northeastern University, Boston, MA.

• PC Member or Reviewer for CVPR, IJCAI, ICPR, TIP, TKDD