Full Publications

Welcome to find my full publications on Google Scholar.

After joining William & Mary (August, 2023):

Conference acceptance rates and journal impact factors are provided where available. An asterisk (*) denotes students who collaborated with me on the publication, and underlined names indicate W&M students for whom I intend to serve as the PhD dissertation advisor.

Papers:

  1. Log What Matters: Safety-Aware Adaptive Logging for CAVs in Dynamic Conditions
    Johora Akter Polin*, Yichen Luo*, Sumaiya*， Zheng Dong, and Sidi Lu.
    IEEE International Conference on Mobility: Operations, Services, and Technologies, May 4-6, 2026, Detroit, Michigan, USA | Paper (Johora and Yichen are W&M students, Sumaiya is advised by Dr. Zheng Dong at Wayne State University)

  2. Context-Aware Perception: VLM-Augmented All-Weather Detection for Autonomous Driving (Workshop Paper)
    Johora Akter Polin*, Yichen Luo* and Sidi Lu.
    ACM/IEEE Symposium on Edge Computing (SEC) / International Workshop on Edge Computing for Connected and Autonomous Vehicles, December 3-6, 2025, Washington, D.C., USA | Paper (This work stems from Johora's graduate course project in my CSCI 680 Autonomous Driving class at W&M)

  3. Training-Free Late Fusion across Geometry and BEV for Edge-Deployable LiDAR–Camera 3D Perception (Workshop Paper)
    Yixuan (Mona) Zhang* and Sidi Lu.
    ACM/IEEE Symposium on Edge Computing (SEC) / International Workshop on Edge Computing for Connected and Autonomous Vehicles, December 3-6, 2025, Washington, D.C., USA | Paper (This work stems from Mona's undergraduate course project in my CSCI 420/520 Edge Computing class at W&M)

  4. Role-Guided Annotation and Prototype-Aligned Representation Learning for Historical Literature Sentiment Classification
    Hongfei Du*, Jiacheng Shi*, Jacobo Myerston, Sidi Lu, Gang Zhou, and Ye Gao.
    The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 5-9, 2025, Suzhou, China. | Paper (Top conference in NLP; acceptance rate: 22.16%. Hongfei and Jiacheng are W&M students under the guidance of Dr. Ye Gao.)

  5. EAA: Emotion-Aware Audio LLMs with Dual Cross-Attention and Context-Aware Instruction Tuning
    Hongfei Du*, Sidi Lu, Gang Zhou, and Ye Gao.
    The 26th edition of the Interspeech Conference (Interspeech), August 17-21, 2025, Rotterdam, The Netherlands. | Paper (Hongfei is a W&M PhD student under the guidance of Dr. Ye Gao)

  6. Incremental Over-the-Air Update for Software-Defined Vehicles with C-V2X
    Yichen Luo* and Sidi Lu.
    IEEE 101st Vehicular Technology Conference (VTC), June 17-20, 2025, Oslo, Norway | Paper (Flagship Conference in Transportation)

  7. From Preventive to Predictive: Advancing Timely and Accurate Aircraft Prognostics
    Philippa Scroggins* and Sidi Lu.
    IEEE International Conference on Mobility: Operations, Services, and Technologies (MOST), May 4-6, 2025. Newark, DE, USA | Paper (This work stems from Pippa's undergrad course project in my CSCI 420/520 Edge Computing class)

  8. Mitigating In-Transit Vision Noise for Enhanced Vehicle Safety
    Yichen Luo*, Junzhou Chen*, Xinyu Chen*, and Sidi Lu.
    ACM Conference on Embedded Networked Sensor Systems (SenSys), May 6-9, 2025, Irvine, USA | Paper (Top conference in Mobile Computing; acceptance rate: 18.7%; Yichen and Junzhou are W&M grads, and Xinyu is a W&M undergrad)

  9. Vehicle Computing - An Emerging Computing Paradigm for the Autonomous Driving Era (车计算: 自动驾驶时代的新型计算范式)
    Sidi Lu, Yuankai He, and Weisong Shi.
    Journal of Computer Research and Developement (计算机研究与发展) | Paper (CCF A; selected as the " Research Hightlight Paper"; The journal also featured an invited commentary on our work by Dr. Guoliang Xing from CUHK)

  10. Towards Real-Time and Efficient Perception Workflows in Software-Defined Vehicles
    Sumaiya*, Reza Jafarpourmarzoun*, Yichen Luo*, Sidi Lu, and Zheng Dong.
    IEEE Internet of Things Journal | Paper (Leading journal in computer systems; acceptance rate is about 20%; impact factor: 11)

  11. Edge-Aware Dual Branch Network for Nucleus Instance Segmentation (Workshop Paper)
    Junzhou Chen*, Yanfu Zhang, and Sidi Lu.
    ACM/IEEE Symposium on Edge Computing (SEC) / International Workshop on Smart Moving, December 4-7, 2024, Rome, Italy | Paper (This work stems from Junzhou's undergrad project)

  12. Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines (Workshop Paper)
    Pippa Scroggins* and Sidi Lu.
    ACM/IEEE Symposium on Edge Computing (SEC) / International Workshop on Edge Intelligence, December 4-7, 2024, Rome, Italy | Paper (This work stems from Pippa's undergrad course project in my CSCI 420/520 Edge Computing class)

  13. An Efficient Data Transmission Framework for Connected Vehicles
    Yichen Luo*, Yongtao Yao*, Junzhou Chen*, Sidi Lu, and Weisong Shi.
    ACM/IEEE Symposium on Edge Computing (SEC), December 4-7, 2024, Rome, Italy | Paper | Poster (Top conference in Edge Computing, with a competitive acceptance rate of around 24% each year; Yichen and Junzhou are W&M grads)

  14. Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles
    Yichen Luo*, Daoxuan Xu*, Gang Zhou, Yifan Sun, and Sidi Lu.
    IEEE International Conference on Mobility, Operations, Services, and Technologies (MOST), May 1-3, 2024, Dallas, TX, USA | Paper | Poster (This work stems from Yichen's graduate course project in my CSCI 680 Autonomous Driving class)

  15. An Advanced Driving Agent with the Multimodal Large Language Model for Autonomous Vehicles
    Junzhou Chen* and Sidi Lu. (Full conference paper with the Best Poster Award @ 2024 Graudate Symposium)
    IEEE International Conference on Mobility, Operations, Services, and Technologies (MOST), May 1-3, 2024, Dallas, TX, USA | Paper | Poster (This work stems from Junzhou's intern project in my lab)

  16. Enhancing Real-time Inference Performance for Time-Critical Software-Defined Vehicles
    Sumaiya*, Reza Jafarpourmarzouni*, Sidi Lu, and Zheng Dong.
    IEEE International Conference on Mobility, Operations, Services, and Technologies (MOST), May 1-3, 2024, Dallas, TX, USA | Paper

  17. Edge-Assisted Over-the-Air Software Updates
    Arpan Bhattacharjee*, Hamza Mahmood*, Sidi Lu, Nejib Ammar, Akila Ganlath, and Weisong Shi.
    The 9th IEEE International Conference on Collaboration and Internet Computing (CIC), November 1-3, 2023, Atlanta, GA, USA | Paper (Collaborated with Toyota InfoTech Labs; Nejib and Akila are Toyota Experts).

  18. Vehicle as a Mobile Computing Platform: Opportunities and Challenges
    Sidi Lu and Weisong Shi.
    IEEE Network, 1(1), September 15, 2023 | Paper (Journal impact factor: 11.4)

  19. Reinforcement Learning for Adaptive Video Compressive Sensing
    Sidi Lu, Xin Yuan, Aggelos K Katsaggelos and Weisong Shi.
    ACM Transactions on Intelligent Systems and Technology, August 12, 2023 | Paper (Journal impact factor: 10.49)

Books:

  1. Vehicle Computing: From Traditional Transportation to Computing on Wheels | eBook
    Sidi Lu and Weisong Shi.
    Spinger, 242 pages, ISBN 978-3-031-59963-7, July 8, 2024

  2. Edge Computing: Systems and Applications | eBook
    Editor: Lanyu Xu, Weisong Shi, Wiley-IEEE Press, ISBN: 978-1-394-28583-9, 288 pages, July 2025.
    My role: penned and polished Chapter 5: Challenges and Solutions in Edge Computing (pp. 123-151).

  3. Autonomous Vehicle Systems: A Technical and Societal Perspective | eBook
    Editor: Ishwar K Sethi, River Publishers, 2023.
    My role: penned and polished Chapter 8: Teleoperation for Complementing and Enhancing Autonomous vehicles (pp. 219-245).

Students' Theses:

  1. Understanding and Mitigating Speed Effects on Onboard Perception in Autonomous Vehicles
    Student Name: Yichen Luo
    Advisor: Sidi Lu, Committee Members: Yanfu Zhang and Ashely Gao
    Master's Thesis, April 7, 2025, Chancellors Hall 132 | Thesis

  2. Multi-Sensor Fusion and V2V Collaboration in Autonomous Vehicles: A Comprehensive Framework for Self-Driving
    Student Name: Myra Cropper
    Advisor: Sidi Lu, Committee Members: Robert Michael Lewis and Yi He
    Undergraduate Honors Thesis, William & Mary. Paper 2243, Date Thesis Awarded: 12-2024 | Thesis

  3. Enabling Robust Path Planning for Autonomous Vehicles Using an Improved Ant Colony Algorithm
    Student Name: Nino (Jiufan) Wang
    Advisor: Sidi Lu, Committee Members: Rex Kincaid, Larry Leemis, and Anh Ninh
    Computational Operations Research Thesis (CSCI 708), April 22 2024, Jones 113 | Thesis

Before joining William & Mary:

Papers published during my PhD:: : Published and accepted 15 (12 first-author) peer-reviewed research articles in premium CS conferences and journals, such as USENIX FAST, ACM/IEEE SEC, ICDCS, WACV, ACM TIST, IEEE Internet of Things Journal, and IEEE Internet Computing.

Conference Papers:

  1. Teleoperation Technologies for Enhancing Connected and Autonomous Vehicles.
    Sidi Lu, Ren Zhong and Weisong Shi.
    The 19th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS'22), Oct 20-22, 2022, Denver, CO, USA | Paper

  2. A Comparison of End-to-End Architectures for Connected Vehicles.
    Sidi Lu, Nejib Ammar, Akila Ganlath, Haoxin Wang and Weisong Shi.
    The Fifth International Conference on Connected and Autonomous Driving (MetroCAD'22), Apr 28-29, 2022, Detroit, MI, USA | Paper

  3. Making Disk Failure Predictions SMARTer!
    Sidi Lu, Luo Bing, Tirthak Patel, Yongtao Yao, Devesh D Tiwari and Weisong Shi.
    The 18th USENIX Conference on File and Storage Technologies (FAST'20), Feb 24-27, 2020, Santa Clara, CA, USA | Paper (Acceptance rate: 16.7%, 23 out of 138)
    • * Invited as the only external speaker to present at Facebook Data Application for Better Infra (DABI) Summit, “Digital Infrastructure Smart Health Management”, 2020.
    • * Software and datasets are downloaded by researchers from 240+ institutions globally.

  4. EdgeCompression: An Integrated Framework for Compressive Imaging Processing on CAVs.
    Sidi Lu, Xin Yuan and Weisong Shi.
    The Fifth ACM/IEEE Symposium on Edge Computing (SEC'20), Nov 11-13, 2020, Seattle, WA, USA | Paper (Acceptance rate: 21.9%, 21 out of 96)

  5. Collaborative Learning on the Edges: A Case Study on Connected Vehicles.
    Sidi Lu, Yongtao Yao and Weisong Shi.
    The Second USENIX Workshop on Hot Topics in Edge Computing (HotEdge'19), Jul 9, 2019, Renton, WA, USA | Paper

  6. SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.
    Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi and Xiang Chen.
    The 22nd edition of the Winter Conference on Applications of Computer Vision (WACV'22), Jan 4-8, 2022, Waikoloa, HI, USA | Paper

  7. A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks.
    Bodong Shang, Shiya Liu, Sidi Lu, Yang Yi, Weisong Shi and Lingjia Liu.
    The Fifth ACM/IEEE Symposium on Edge Computing (EdgeComm'20), Nov 11-13, 2020, Virtual | Paper

  8. OpenEI: An Open Framework for Edge Intelligence.
    Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi.
    The 39th IEEE International Conference on Distributed Computing Systems (ICDCS'19), Jul 7-9, 2019, Dallas, TX, USA | Paper

Journal Papers:

  1. Vehicle as a Mobile Computing Platform: Opportunities and Challenges.
    Sidi Lu and Weisong Shi.
    IEEE Network, September, 2023 | Paper (Journal impact factor: 10.65)

  2. EdgeWare: Towards Extensible and Flexible Middleware for Connected Vehicle Service.
    Sidi Lu, Yongtao Yao, Luo Bing, Zhifeng Yu, Dalong Li and Weisong Shi.
    CCF Transactions on High Performance Computing, pp.1-18, May 2022 | Paper

  3. The Emergence of Vehicle Computing.
    Sidi Lu and Weisong Shi.
    IEEE Internet Computing, 25(3), pp.18-22, Jul 2021 | Paper (Journal impact factor: 4.23)
    • * Highlighted by the Global Auto Mobility weekly newsletter [News].

  4. CLONE: Collaborative Learning on the Edges.
    Sidi Lu, Yongtao Yao and Weisong Shi.
    IEEE Internet of Things Journal, 8(13), pp.10222-10236, Oct 2020 | Paper (Journal impact factor: 13.83)

  5. SafeCampus: Multimodal-based Campus-wide Pandemic Forecasting.
    Sidi Lu, Baofu Wu, Xiaoda Cong, Yongtao Yao and Weisong Shi.
    IEEE Internet Computing, 26(1), pp.60-67, Nov 2021 | Paper (Journal impact factor: 4.23)

  6. Computing Systems for Autonomous Driving: State-of-the-Art and Challenges.
    Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, and Weisong Shi.
    IEEE Internet of Things Journal, 8(8), pp.6469-6486, Dec 2020 | Paper (Journal impact factor: 13.83)

Posters:

  1. Poster: Towards Efficient Multilayer Collaboration for Connected Vehicle Applications.
    Sidi Lu and Weisong Shi.
    The Seventh ACM/IEEE Symposium on Edge Computing (SEC'22), 2022 | Poster

  2. Understanding Disk Failures: An Experience from Production Data Centers.
    Sidi Lu, Luo Bing, Devesh D Tiwari and Weisong Shi.
    The 17th USENIX Conference on File and Storage Technologies (FAST'19), 2019 | Poster