Yue Bai Ph.D. Candidate Email : bai.yue [at] northeastern.edu Github    
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About Me
I am a final-year Ph.D. student in SmileLab at Northeastern University supervised by Prof. Yun Raymond Fu. My research interests lie in multi-modal learning and sparse network training.
I spent time at Adobe Research and AI2 as a research intern.
News
2025.02: One paper is accpeted by ICLR 2025 for model distillation.
2024.08: One paper is accpeted by EMNLP 2024 for efficient vision-language models.
2024.06: Start my internship at Adobe, Seattle, WA.
2024.02: One paper is accpeted by ICLR 2024 for video representation learning.
2024.01: One paper is accpeted by CVPR 2024 for efficient transformers.
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.
Professonal Activities
Reviewer for ICML, NeurIPS, ICLR, CVPR, ECCV, ICCV, EMNLP, AAAI, IJCAI, TPAMI, TNNLS, TIP, TKDD, etc.