Long Text Generation via Adversarial Training with Leaked Information. - Jiaxian Guo; Sidi Lu; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

Texygen: A Benchmarking Platform for Text Generation Models. - Yaoming Zhu; Sidi Lu; Lei Zheng; Jiaxian Guo; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2018)

Neural Text Generation: Past, Present and Beyond. - Sidi Lu; Yaoming Zhu; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (CoRR, 2018)

CoT: Cooperative Training for Generative Modeling. - Sidi Lu; Lantao Yu; Weinan Zhang 001; Yong Yu 001 (CoRR, 2018)

Collaborative Learning on the Edges: A Case Study on Connected Vehicles. - Sidi Lu; Yongtao Yao; Weisong Shi (HotEdge, 2019)

OpenEI: An Open Framework for Edge Intelligence. - Xingzhou Zhang; Yifan Wang 005; Sidi Lu; Liangkai Liu; Lanyu Xu; Weisong Shi (ICDCS, 2019)

Neurally-Guided Structure Inference. - Sidi Lu; Jiayuan Mao; Joshua B. Tenenbaum; Jiajun Wu 001 (ICML, 2019)

CoT: Cooperative Training for Generative Modeling of Discrete Data. - Sidi Lu; Lantao Yu; Siyuan Feng; Yaoming Zhu; Weinan Zhang 001 (ICML, 2019)

Making Disk Failure Predictions SMARTer! - Sidi Lu; Bing Luo; Tirthak Patel; Yongtao Yao; Devesh Tiwari; Weisong Shi (FAST, 2020)

Edge Compression: An Integrated Framework for Compressive Imaging Processing on CAVs. - Sidi Lu; Xin Yuan 002; Weisong Shi (SEC, 2020)

A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks. - Bodong Shang; Shiya Liu; Sidi Lu; Yang Yi 002; Weisong Shi; Lingjia Liu 001 (SEC, 2020)

On Efficient Training, Controllability and Compositional Generalization of Insertion-based Language Generators. - Sidi Lu; Nanyun Peng 001 (CoRR, 2021)

The Emergence of Vehicle Computing. - Sidi Lu; Weisong Shi; Qun Li 001 (IEEE Internet Comput., 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)

CLONE: Collaborative Learning on the Edges. - Sidi Lu; Yongtao Yao; Weisong Shi (IEEE Internet Things J., 2021)

Poster: Towards Efficient Multilayer Collaboration for CAV Applications. - Sidi Lu; Weisong Shi (SEC, 2022)

InsNet: An Efficient, Flexible, and Performant Insertion-based Text Generation Model. - Sidi Lu; Tao Meng; Nanyun Peng 001 (NeurIPS, 2022)

Controllable Text Generation with Neurally-Decomposed Oracle. - Tao Meng; Sidi Lu; Nanyun Peng 001; Kai-Wei Chang (NeurIPS, 2022)

SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. - Fuxun Yu; Di Wang 003; Yinpeng Chen; Nikolaos Karianakis; Tong Shen; Pei Yu; Dimitrios Lymberopoulos; Sidi Lu; Weisong Shi; Xiang Chen 010 (WACV, 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)

SafeCampus: Multimodal-Based Campus-Wide Pandemic Forecasting. - Sidi Lu; Baofu Wu; Xiaoda Cong; Yongtao Yao; Weisong Shi (IEEE Internet Comput., 2022)

Edge-Assisted Over-the-Air Software Updates. - Arpan Bhattacharjee; Hamza Mahmood; Sidi Lu; Nejib Ammar; Akila Ganlath; Weisong Shi (CIC, 2023)

Poster: Edge-Assisted Over-the-Air Software Updates. - Arpan Bhattacharjee; Hamza Mahmood; Sidi Lu; Nejib Ammar; Akila Ganlath; Weisong Shi (SEC, 2023)

On Compositionality and Improved Training of NADO. - Sidi Lu; Wenbo Zhao 006; Chenyang Tao; Arpit Gupta; Shanchan Wu; Tagyoung Chung; Nanyun Peng 001 (CoRR, 2023)

Open-Domain Text Evaluation via Meta Distribution Modeling. - Sidi Lu; Asli Celikyilmaz; Tianlu Wang; Nanyun Peng 001 (CoRR, 2023)

Reinforcement Learning for Adaptive Video Compressive Sensing. - Sidi Lu; Xin Yuan 002; Aggelos K. Katsaggelos; Weisong Shi (ACM Trans. Intell. Syst. Technol., 2023)

Vehicle Computing - From Traditional Transportation to Computing on Wheels - Sidi Lu; Weisong Shi (Springer, 2024)

DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models. - Sidi Lu; Wenbo Zhao 006; Chenyang Tao; Arpit Gupta; Shanchan Wu; Tagyoung Chung; Nanyun Peng 001 (ICML, 2024)

Open-Domain Text Evaluation via Contrastive Distribution Methods. - Sidi Lu; Hongyi Liu; Asli Celikyilmaz; Tianlu Wang; Nanyun Peng 001 (ICML, 2024)

Edge-Aware Dual Branch Network for Nucleus Instance Segmentation. - Junzhou Chen 002; Yanfu Zhang; Sidi Lu (SEC, 2024)

An Efficient Data Transmission Framework for Connected Vehicles. - Yichen Luo; Yongtao Yao; Junzhou Chen 002; Sidi Lu; Weisong Shi (SEC, 2024)

Enabling Accurate and Timely Prognostics for Aircraft Turbofan Engines. - Philippa Scroggins; Sidi Lu (SEC, 2024)

An Advanced Driving Agent with the Multimodal Large Language Model for Autonomous Vehicles. - Junzhou Chen 002; Sidi Lu (MOST, 2024)

Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles. - Yichen Luo; Daoxuan Xu; Gang Zhou; Yifan Sun; Sidi Lu (MOST, 2024)

Enhancing Real-time Inference Performance for Time-Critical Software-Defined Vehicles. - Sumaiya; Reza Jafarpourmarzouni; Sidi Lu; Zheng Dong 002 (MOST, 2024)

Vehicle as a Mobile Computing Platform: Opportunities and Challenges. - Sidi Lu; Weisong Shi (IEEE Netw., 2024)

From Preventive to Predictive: Advancing Timely and Accurate Aircraft Prognostics. - Philippa Scroggins; Sidi Lu (MOST, 2025)

Mitigating In-Transit Vision Noise for Enhanced Vehicle Safety. - Yichen Luo; Junzhou Chen 002; Xinyu Chen; Sidi Lu (SenSys, 2025)

Toward Real-Time and Efficient Perception Workflows in Software-Defined Vehicles. - Sumaiya; Reza Jafarpourmarzouni; Yichen Luo; Sidi Lu; Zheng Dong 002 (IEEE Internet Things J., 2025)