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Chen-yi Lu

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


About Me

I am a 3rd-year Ph.D. student at Purdue University, advised by Prof. Somali Chaterji.

My research focuses on adversarially robust and data-efficient learning algorithms for computer vision and multimodal tasks. I have worked on problems spanning image semantic segmentation, video understanding, text-to-image diffusion models, and video coherence metrics, with broader interests in generative modeling and robust multimodal learning.

In the summers of 2023 and 2024, I interned at Adobe Research, collaborating with Mehrab Tanjim. At Adobe, I developed methods for retrieval-augmented diffusion to improve inference efficiency, and designed a learned metric for multi-shot video coherence.

Before joining Purdue, I was a Research Assistant at National Taiwan University (NTU) with Prof. Ta-Te Lin. My work focused on precision agriculture, where I built embedded systems and ML algorithms for interpretable decision support, robust edge deployment, and real-world agricultural monitoring.

Selected Publications (Full list on Google Scholar)

  1. ICCV
    SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation
    Chen-Yi Lu, Md Mehrab Tanjim, Ishita Dasgupta, Somdeb Sarkhel, Gang Wu, Saayan Mitra, Somali Chaterji
    International Conference on Computer Vision, 2025.
  2. 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.
  3. 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.
  4. 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
  5. Pest Management Science
    Towards intelligent and integrated pest management through an AIoT‐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
  6. 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
  7. 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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