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Cheng Chen
I am a fourth-year Ph.D. student at the Elmore Family School of Electrical and Computer Engineering, Purdue University, advised by Prof. Saurabh Bagchi at Dependable Computing Systems Lab (DCSL).
Before that, I received my Bachelor's degree in Computer Science at Nanjing University in 2020 and a Master's degree in Computer Engineering at New York University in 2022.
I spent a wonderful Spring semester at University of California, Berkeley as an exchange student in 2019.
My research focuses on intelligent computer vision systems.
3D Computer Vision --- Broad interest in multi-modal 3D scene understanding; current focus on collaborative perception for 3D/4D semantic occupancy prediction/forecasting among connected autonomous agents, integrating foundation models and generative 3D representations such as Gaussian Splatting.
Intelligent Vision Systems --- Research on resource-efficient deep learning for edge perception, emphasizing performance–resource trade-offs, energy and compute efficiency, communication limits, and real-time coordination across distributed platforms.
Email  / 
Instagram  / 
Github  / 
Google Scholar
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- [12/2025]: One paper is acceped by JSAC!
- [11/2025]: One paper is acceped by AAAI 2026 (Oral)!
- [11/2022]: One paper is accepted to ECCV 2022!
- [01/2022]: One paper is accepted to ICIP 2022!
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Publications
(* indicates equal contribution)
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Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy Prediction
Cheng Chen,
Hao Huang,
Saurabh Bagchi
AAAI 2026 (Oral Presentation)  
Paper / Project page / Code
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AD-VRAN: DRL-based Adaptive Deployment of Virtualized RAN in an Open Telco Edge Cloud
Yuan-Yao Lou,
Cheng Chen,
Ying-Hui Huang,
Mung Chiang,
Kwang Taik Kim
JSAC 2026  
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E2D2: Energy-Efficient and Deadline-Driven Ensemble Inference at the Communication-Constrained Edge
Cheng Chen,
Xiang Li,
Li-Heng Su,
Saurabh Bagchi,
Kwang Taik Kim
In submission 2025  
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HopTrack: A Real-time Multi-Object Tracking System for Embedded Device
Xiang Li,
Cheng Chen,
Yuan-Yao Lou,
Mustafa Abdallah,
Kwang Taik Kim,
Saurabh Bagchi
Arxiv 2024  
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Manifold Adversarial Learning for Cross-domain 3D Shape Representation
Hao Huang,
Cheng Chen,
Yi Fang
ECCV 2022  
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Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture
Hao Huang,
Cheng Chen,
Yi Fang
ICIP 2022  
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Teaching and Services
- Teaching Assistant: ECE 20001 Electrical Engineering Fundamentals, PurdueSU 2025
- Reviewer: AAAI 2026, IEEE VNC 2025, IEEE Networking Letters 2024
- Teaching Assistant: CS-GY 6953 / ECE-GY 7123 Deep Learning, NYUSP 2022
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Selected Awards
- Phi Kappa Phi Honor Society, Purdue University2025
- Graduate School of Engineering Scholarship, New York University2020
- People’s Award, Nanjing University2017 & 2018
- National Elite Program Scholarship, Nanjing University2018
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Thank Dr. Jon Barron for sharing the source code of his personal page.
Last edited: Dec, 2025
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