Grad: Learning for Overhead-aware Adaptive Video Streaming with Scalable Video Coding. - Yunzhuo Liu; Bo Jiang 003; Tian Guo 001; Ramesh K. Sitaraman; Don Towsley; Xinbing Wang (ACM Multimedia, 2020)

Underwater hyperspectral image recovery based on a single chromatic aberration blur image using deep learning. - Jiarui Zhao; Yunzhuo Liu; Shuyue Zhan (CISP-BMEI, 2021)

TROD: Evolving From Electrical Data Center to Optical Data Center. - Peirui Cao; Shizhen Zhao; Min Yee Teh; Yunzhuo Liu; Xinbing Wang (ICNP, 2021)

FuncPipe: A Pipelined Serverless Framework for Fast and Cost-Efficient Training of Deep Learning Models. - Yunzhuo Liu; Bo Jiang 003; Tian Guo 001; Zimeng Huang; Wenhao Ma; Xinbing Wang; Chenghu Zhou (Proc. ACM Meas. Anal. Comput. Syst., 2021)

Measuring the Impact of Gradient Accumulation on Cloud-based Distributed Training. - Zimeng Huang; Bo Jiang 003; Tian Guo 001; Yunzhuo Liu (CCGrid, 2023)

Libra: Contention-Aware GPU Thread Allocation for Data Parallel Training in High Speed Networks. - Yunzhuo Liu; Bo Jiang 003; Shizhen Zhao; Tao Lin 001; Xinbing Wang; Chenghu Zhou (INFOCOM, 2023)

X-Plane: A High-Throughput Large-Capacity 5G UPF. - Yunzhuo Liu; Hao Nie; Hui Cai; Bo Jiang 003; Pengyu Zhang; Yirui Liu; Yidong Yao; Xionglie Wei; Biao Lyu; Chenren Xu; Shunmin Zhu; Xinbing Wang (MobiCom, 2023)

Isolated Scheduling for Distributed Training Tasks in GPU Clusters. - Xinchi Han; Weihao Jiang; Peirui Cao; Qinwei Yang; Yunzhuo Liu; Shuyao Qi; Shengkai Lin; Shizhen Zhao (CoRR, 2023)

Mobile Payment Protocol with Deniably Authenticated Property. - Yunzhuo Liu; Wen Huang 002; Ming Zhuo; Shijie Zhou 002; Mengshi Li (Sensors, 2023)

Local Cluster-Aware Attention for Non-Euclidean Structure Data. - Ming Zhuo; Yunzhuo Liu; Leyuan Liu 002; Shijie Zhou 002 (Symmetry, 2023)

Threshold-Based Routing-Topology Co-Design for Optical Data Center. - Peirui Cao; Shizhen Zhao; Dai Zhang; Zhuotao Liu; Mingwei Xu; Min Yee Teh; Yunzhuo Liu; Xinbing Wang; Chenghu Zhou (IEEE/ACM Trans. Netw., 2023)

Understanding Network Startup for Secure Containers in Multi-Tenant Clouds: Performance, Bottleneck and Optimization. - Yunzhuo Liu; Junchen Guo; Bo Jiang 003; Pengyu Zhang; Xiaoqing Sun; Yang Song 022; Wei Ren; Zhiyuan Hou; Biao Lyu; Rong Wen; Shunmin Zhu; Xinbing Wang (IMC, 2024)

CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework. - Yiyang Zhao; Yunzhuo Liu; Bo Jiang 003; Tian Guo 001 (NeurIPS, 2024)

Agile Flights Through a Moving Narrow Gap for Quadrotors Using Adaptive Curriculum Learning. - Mengyun Wang; Shengde Jia; Yifeng Niu; Yunzhuo Liu; Chao Yan; Chang Wang 005 (IEEE Trans. Intell. Veh., 2024)

FastIOV: Fast Startup of Passthrough Network I/O Virtualization for Secure Containers. - Yunzhuo Liu; Junchen Guo; Bo Jiang 003; Yang Song 022; Pengyu Zhang; Rong Wen; Biao Lyu; Shunmin Zhu; Xinbing Wang (EuroSys, 2025)

vClos: Network contention aware scheduling for distributed machine learning tasks in multi-tenant GPU clusters. - Xinchi Han; Shizhen Zhao; Yongxi Lv; Peirui Cao; Weihao Jiang; Qinwei Yang; Yunzhuo Liu; Shengkai Lin; Bo Jiang 003; Ximeng Liu; Yong Cui 001; Chenghu Zhou; et al. (Comput. Networks, 2025)