Alfie: Neural-Reinforced Adaptive Prefetching for Short Videos. - Jingzong Li; Hong Xu 001; Ming Ma; Haopeng Yan; Chun Jason Xue (ICME, 2022)

ScaleFlux: Efficient Stateful Scaling in NFV. - Libin Liu 001; Hong Xu 001; Zhixiong Niu; Jingzong Li; Wei Zhang 049; Peng Wang 037; Jiamin Li 002; Chun Jason Xue; Cong Wang 001 (IEEE Trans. Parallel Distributed Syst., 2022)

Faster and Stronger Lossless Compression with Optimized Autoregressive Framework. - Yu Mao 001; Jingzong Li; Yufei Cui; Chun Jason Xue (DAC, 2023)

Cross-Camera Inference on the Constrained Edge. - Jingzong Li; Libin Liu 001; Hong Xu 001; Shudeng Wu; Chun Jason Xue (INFOCOM, 2023)

Moby: Empowering 2D Models for Efficient Point Cloud Analytics on the Edge. - Jingzong Li; Yik Hong Cai; Libin Liu 001; Yu Mao 001; Chun Jason Xue; Hong Xu 001 (ACM Multimedia, 2023)

2D-Empowered 3D Object Detection on the Edge. - Jingzong Li; Yik Hong Cai; Libin Liu 001; Yu Mao 001; Chun Jason Xue; Hong Xu 001 (CoRR, 2023)

Efficient Real-time Video Conferencing with Adaptive Frame Delivery. - Libin Liu 001; Jingzong Li; Hong Xu 001; Kaiwen Xue; Chun Jason Xue (Comput. Networks, 2023)

Arlo: Serving Transformer-based Language Models with Dynamic Input Lengths. - Xin Tan 004; Jiamin Li 002; Yitao Yang; Jingzong Li; Hong Xu 001 (ICPP, 2024)

A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization. - Qingyu Song 002; Juncheng Wang 001; Jingzong Li; Guochen Liu; Hong Xu 001 (INFOCOM, 2024)

Echo: Simulating Distributed Training At Scale. - Yicheng Feng; Yuetao Chen; Kaiwen Chen; Jingzong Li; Tianyuan Wu; Peng Cheng 005; Chuan Wu 001; Wei Wang 002; Tsung-Yi Ho; Hong Xu 001 (CoRR, 2024)

Efficient Time-Series Data Delivery in IoT With Xender. - Libin Liu 001; Jingzong Li; Zhixiong Niu; Wei Zhang 049; Chun Jason Xue; Hong Xu 001 (IEEE Trans. Mob. Comput., 2024)

Accelerating point cloud analytics on resource-constrained edge devices. - Jingzong Li; Yik Hong Cai; Libin Liu 001; Yu Mao 001; Chun Jason Xue; Hong Xu 001 (Comput. Networks, 2025)

Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs. - Yu Mao 001; Jingzong Li; Jun Wang; Hong Xu 001; Tei-Wei Kuo; Nan Guan; Chun Jason Xue (CoRR, 2025)