Online Cloud Resource Allocation and Pricing with Server Speed Scaling. - Ziyue Luo; Zongpeng Li; Chuan Wu 001 (ICC, 2018)

Scaling Geo-Distributed Network Function Chains: A Prediction and Learning Framework. - Ziyue Luo; Chuan Wu 001; Zongpeng Li; Wei Zhou (IEEE J. Sel. Areas Commun., 2019)

Optimizing distributed training deployment in heterogeneous GPU clusters. - Xiaodong Yi 001; Shiwei Zhang 002; Ziyue Luo; Guoping Long; Lansong Diao; Chuan Wu 001; Zhen Zheng; Jun Yang 052; Wei Lin 016 (CoNEXT, 2020)

Fast Training of Deep Learning Models over Multiple GPUs. - Xiaodong Yi 001; Ziyue Luo; Chen Meng; Mengdi Wang; Guoping Long; Chuan Wu 001; Jun Yang 052; Wei Lin 016 (Middleware, 2020)

An Online Algorithm for VNF Service Chain Scaling in Datacenters. - Ziyue Luo; Chuan Wu 001 (IEEE/ACM Trans. Netw., 2020)

Joint Model and Data Adaptation for Cloud Inference Serving. - Jingyan Jiang; Ziyue Luo; Chenghao Hu; Zhaoliang He; Zhi Wang 001; Shutao Xia; Chuan Wu 001 (RTSS, 2021)

Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration. - Ziyue Luo; Yixin Bao; Chuan Wu 001 (INFOCOM, 2022)

Efficient Pipeline Planning for Expedited Distributed DNN Training. - Ziyue Luo; Xiaodong Yi 001; Guoping Long; Shiqing Fan; Chuan Wu 001; Jun Yang 052; Wei Lin 016 (INFOCOM, 2022)

Two-level Graph Caching for Expediting Distributed GNN Training. - Zhe Zhang; Ziyue Luo; Chuan Wu 001 (INFOCOM, 2023)

A2FWPO: Anti-aliasing filter based on whale parameter optimization method for feature extraction and recognition of dance motor imagery EEG. - Tianliang Huang; Ziyue Luo; Yin Lyu (Comput. Sci. Inf. Syst., 2023)

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning. - Bingqian Du; Jun Liu 002; Ziyue Luo; Chuan Wu 001; Qiankun Zhang; Hai Jin 001 (INFOCOM, 2024)

DiffusionPipe: Training Large Diffusion Models with Efficient Pipelines. - Ye Tian; Zhen Jia 001; Ziyue Luo; Yida Wang 003; Chuan Wu 001 (MLSys, 2024)

Optimizing Task Placement and Online Scheduling for Distributed GNN Training Acceleration in Heterogeneous Systems. - Ziyue Luo; Yixin Bao; Chuan Wu 001 (IEEE/ACM Trans. Netw., 2024)

Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters. - Ziyue Luo; Jia Liu 002; Myungjin Lee; Ness B. Shroff (INFOCOM, 2025)

PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization. - Jun Liu 002; Bingqian Du; Ziyue Luo; Sitian Lu; Qiankun Zhang; Hai Jin 001 (Proc. VLDB Endow., 2025)

Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning. - Zhiyao Zhang; Myeung Suk Oh; Hairi; Ziyue Luo; Alvaro Velasquez; Jia Liu 002 (CoRR, 2025)

On Path to Multimodal Historical Reasoning: HistBench and HistAgent. - Jiahao Qiu; Fulian Xiao; Yimin Wang; Yuchen Mao; Yijia Chen; Xinzhe Juan; Siran Wang; Xuan Qi; Tongcheng Zhang; Zixin Yao; Jiacheng Guo; Yifu Lu; et al. (CoRR, 2025)