Sidi Lu

According to our database, Sidi Lu authored at least 49 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data.

Zhenwen Liang, Yujun Zhou, Sidi Lu, Xiangliang Zhang, Haitao Mi, Dong Yu

CoRR, April, 2026

Turbo Connection: Reasoning as Information Flow from Higher to Lower Layers.

Mohan Tang, Sidi Lu

CoRR, February, 2026

Locas: Your Models are Principled Initializers of Locally-Supported Parametric Memories.

Sidi Lu, Zhenwen Liang, Dongyang Ma, Yan Wang, Haitao Mi, Dong Yu

CoRR, February, 2026

Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning.

Haolin Liu, Dian Yu, Sidi Lu, Yujun Zhou, Rui Liu, Zhenwen Liang, Haitao Mi, Chen-Yu Wei, Dong Yu

CoRR, January, 2026

2025

Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning.

Zhenwen Liang, Sidi Lu, Wenhao Yu, Kishan Panaganti, Yujun Zhou, Haitao Mi, Dong Yu

CoRR, December, 2025

Toward Real-Time and Efficient Perception Workflows in Software-Defined Vehicles.

Sumaiya, Reza Jafarpourmarzouni, Yichen Luo, Sidi Lu, Zheng Dong

IEEE Internet Things J., March, 2025

Incremental Over-the-Air Update for Software-Defined Vehicles with C-V2X.

Yichen Luo, Sidi Lu

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Mitigating In-Transit Vision Noise for Enhanced Vehicle Safety.

Yichen Luo, Junzhou Chen, Xinyu Chen, Sidi Lu

Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

From Preventive to Predictive: Advancing Timely and Accurate Aircraft Prognostics.

Philippa Scroggins, Sidi Lu

Proceedings of the 3rd IEEE International Conference on Mobility, 2025

EAA: Emotion-Aware Audio Large Language Models with Dual Cross-Attention and Context-Aware Instruction Tuning.

Hongfei Du, Sidi Lu, Gang Zhou, Ye Gao

Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

Training-Free Late Fusion across Geometry and BEV for Edge-Deployable LiDAR-Camera 3D Perception.

Yixuan Zhang, Sidi Lu

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

Context-Aware Perception: VLM-Augmented All-Weather Detection for Autonomous Driving.

Johora Akter Polin, Yichen Luo, Sidi Lu

Proceedings of the Tenth ACM/IEEE Symposium on Edge Computing, 2025

Role-Guided Annotation and Prototype-Aligned Representation Learning for Historical Literature Sentiment Classification.

Hongfei Du, Jiacheng Shi, Jacobo Myerston, Sidi Lu, Gang Zhou, Ashley Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Vehicle as a Mobile Computing Platform: Opportunities and Challenges.

Sidi Lu, Weisong Shi

IEEE Netw., November, 2024

Enhancing Real-time Inference Performance for Time-Critical Software-Defined Vehicles.

Sumaiya, Reza Jafarpourmarzouni, Sidi Lu, Zheng Dong

Proceedings of the IEEE International Conference on Mobility, 2024

Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles.

Yichen Luo, Daoxuan Xu, Gang Zhou, Yifan Sun, Sidi Lu

Proceedings of the IEEE International Conference on Mobility, 2024

An Advanced Driving Agent with the Multimodal Large Language Model for Autonomous Vehicles.

Junzhou Chen, Sidi Lu

Proceedings of the IEEE International Conference on Mobility, 2024

Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines.

Philippa Scroggins, Sidi Lu

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024

An Efficient Data Transmission Framework for Connected Vehicles.

Yichen Luo, Yongtao Yao, Junzhou Chen, Sidi Lu, Weisong Shi

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024

Edge-Aware Dual Branch Network for Nucleus Instance Segmentation.

Junzhou Chen, Yanfu Zhang, Sidi Lu

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2024

Open-Domain Text Evaluation via Contrastive Distribution Methods.

Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models.

Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Vehicle Computing - From Traditional Transportation to Computing on Wheels

Sidi Lu, Weisong Shi

Springer, ISBN: 978-3-031-59962-0, 2024

2023

Reinforcement Learning for Adaptive Video Compressive Sensing.

Sidi Lu, Xin Yuan, Aggelos K. Katsaggelos, Weisong Shi

ACM Trans. Intell. Syst. Technol., October, 2023

Open-Domain Text Evaluation via Meta Distribution Modeling.

Sidi Lu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng

CoRR, 2023

On Compositionality and Improved Training of NADO.

Sidi Lu, Wenbo Zhao, Chenyang Tao, Arpit Gupta, Shanchan Wu, Tagyoung Chung, Nanyun Peng

CoRR, 2023

Poster: Edge-Assisted Over-the-Air Software Updates.

Arpan Bhattacharjee, Hamza Mahmood, Sidi Lu, Nejib Ammar, Akila Ganlath, Weisong Shi

Proceedings of the IEEE/ACM Symposium on Edge Computing, 2023

Edge-Assisted Over-the-Air Software Updates.

Arpan Bhattacharjee, Hamza Mahmood, Sidi Lu, Nejib Ammar, Akila Ganlath, Weisong Shi

Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

2022

SafeCampus: Multimodal-Based Campus-Wide Pandemic Forecasting.

Sidi Lu, Baofu Wu, Xiaoda Cong, Yongtao Yao, Weisong Shi

IEEE Internet Comput., 2022

EdgeWare: toward extensible and flexible middleware for connected vehicle services.

Sidi Lu, Yongtao Yao, Bing Luo, Zhifeng Yu, Dalong Li, Weisong Shi

CCF Trans. High Perform. Comput., 2022

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, Xiang Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Controllable Text Generation with Neurally-Decomposed Oracle.

Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model.

Sidi Lu, Tao Meng, Nanyun Peng

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Poster: Towards Efficient Multilayer Collaboration for CAV Applications.

Sidi Lu, Weisong Shi

Proceedings of the 7th IEEE/ACM Symposium on Edge Computing, 2022

2021

CLONE: Collaborative Learning on the Edges.

Sidi Lu, Yongtao Yao, Weisong Shi

IEEE Internet Things J., 2021

Computing Systems for Autonomous Driving: State of the Art and Challenges.

Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi

IEEE Internet Things J., 2021

The Emergence of Vehicle Computing.

Sidi Lu, Weisong Shi, Qun Li

IEEE Internet Comput., 2021

On Efficient Training, Controllability and Compositional Generalization of Insertion-based Language Generators.

Sidi Lu, Nanyun Peng

CoRR, 2021

2020

A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks.

Bodong Shang, Shiya Liu, Sidi Lu, Yang Yi, Weisong Shi, Lingjia Liu

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Edge Compression: An Integrated Framework for Compressive Imaging Processing on CAVs.

Sidi Lu, Xin Yuan, Weisong Shi

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

Making Disk Failure Predictions SMARTer!

Sidi Lu, Bing Luo, Tirthak Patel, Yongtao Yao, Devesh Tiwari, Weisong Shi

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

2019

CoT: Cooperative Training for Generative Modeling of Discrete Data.

Sidi Lu, Lantao Yu, Siyuan Feng, Yaoming Zhu, Weinan Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

Neurally-Guided Structure Inference.

Sidi Lu, Jiayuan Mao, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 36th International Conference on Machine Learning, 2019

OpenEI: An Open Framework for Edge Intelligence.

Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Collaborative Learning on the Edges: A Case Study on Connected Vehicles.

Sidi Lu, Yongtao Yao, Weisong Shi

Proceedings of the 2nd USENIX Workshop on Hot Topics in Edge Computing, 2019

2018

CoT: Cooperative Training for Generative Modeling.

Sidi Lu, Lantao Yu, Weinan Zhang, Yong Yu

CoRR, 2018

Neural Text Generation: Past, Present and Beyond.

Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, Yong Yu

CoRR, 2018

Texygen: A Benchmarking Platform for Text Generation Models.

Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Long Text Generation via Adversarial Training with Leaked Information.

Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018