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Chen-yi Lu

Ph.D. Student
Purdue University
lu842 (at) purdue.edu


About Me

I am a 2nd-year Ph.D. student at Purdue University, advised by Prof. Somali Chaterji.

My research focuses on data-efficient learning algorithms and deep representation learning for computer vision tasks, such as image semantic segmentation, video classification, and image generation. Additionally, my research interests include multimodal learning, particularly text-to-image diffusion models and video grounding.

Prior to joining Purdue, I was a research assistant at National Taiwan University (NTU), working with Prof. Ta-Te Lin. At NTU, I focused on developing embedded devices and machine learning algorithms for precision agriculture. This work involved addressing real-life challenges such as developing interpretable algorithms to assist decision-making, designing user-friendly interfaces for decision support systems, and creating robust machine learning algorithms and edge devices capable of handling outliers and withstanding harsh environments.

In the summers of 2023 and 2024, I interned at Adobe Research, working with Mehrab Tanjim. We focused on improving the inference efficiency of text-to-image diffusion models through concept trajectory retrieval.

Selected Publications (Full list on Google Scholar)

  1. CVPR
    Improving Semi-supervised Semantic Segmentation with Sliced-Wasserstein Feature Alignment and Uniformity
    Chen-yi Lu, Kasra Derakhshandeh, Somali Chaterji
    The IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025.
  2. ECCV
    ReCon: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories
    Chen-yi Lu, Shubham Agarwal, Md Mehrab Tanjim, Kanak Mahadik, Anup Rao, Subrata Mitra, Shiv Kumar Saini, Saurabh Bagchi, Somali Chaterji
    European Conference on Computer Vision (ECCV), 2024.
  3. Biosystems Engineering
    Online semi-supervised learning applied to an automated insect pest monitoring system
    DJA Rustia, CY Lu, JJ Chao, YF Wu, JY Chung, JC Hsu, TT Lin
    Biosystems Engineering, 2021, 208, 28-44
  4. Pest Management Science
    Towards intelligent and integrated pest management through an AIoTā€based monitoring system
    DJA Rustia, LY Chiu, CY Lu, YF Wu, SK Chen, JY Chung, JC Hsu, TT Lin
    Pest Management Science, 2022, 78 (10), 4288-4302
  5. Computers & Electronics in Ag.
    Edge-based wireless imaging system for continuous monitoring of insect pests in a remote outdoor mango orchard
    DJA Rustia, WC Lee, CY Lu, YF Wu, PY Shih, SK Chen, JY Chung, TT Lin
    Computers and Electronics in Agriculture, 2023, 211, 108019
  6. IFAC-PapersOnLine
    Generative adversarial network based image augmentation for insect pest classification enhancement
    CY Lu, DJA Rustia, TT Lin
    IFAC-PapersOnLine, 2019, 52 (30), 1-5

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