● Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities
Qian Xu, Juan Yang, Feng Zhang*, Junda Pan, Kang Chen, Youren Shen, Amelie Chi Zhou, Xiaoyong Du.
International Conference on Management of Data (SIGMOD), 2025
● Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
Zichen Tang, Junlin Huang, Rudan Yan, Yuxin Wang, Zhenheng Tang*, Shaohuai Shi, Amelie Chi Zhou and Xiaowen Chu*.
Proceedings of International Conference on Parallel Processing (ICPP), 2024
● Boosting Write Performance of KV Stores: An NVM-Enabled Storage Collaboration Approach
Yi Wang, Jiajian He, Kaoyi Sun, Yunhao Dong, Jiaxian Chen, Chenlin Ma*, Amelie Chi Zhou and Rui Mao.
Proceedings of International Conference on Data Engineering (ICDE), 2024
● UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture
Sitian Chen, Haobin Tan, Amelie Chi Zhou*, Yusen Li and Pavan Balaji.
Proceedings of Design Automation Conference (DAC), 2024
● Tackling Cold Start in Serverless Computing with Multi-Layer Container Reuse
Amelie Chi Zhou, Rongzheng Huang, Zhoubin Ke, Yusen Li, Yi Wang, Rui Mao.
Proceedings of International Parallel and Distributed Processing Symposium (IPDPS), 2024
● Low-Latency Video Conferencing via Optimized Packet Routing and Reordering
Yao Xiao, Amelie Chi Zhou*, Sitian Chen, Shuhao Zhang, Yi Wang, Rui Mao, Xuan Yang.
IEEE/ACM International Workshop on Quality of Service (IWQoS), 2024
● Adaptive Key Partitioning in Distributed Stream Processing
Gang Liu, Zeting Wang, Amelie Chi Zhou*, and Rui Mao.
CCF Transactions on High Performance Computing (CCF THPC), 2024
● DyVer: Dynamic Version Handling for Array Databases
Amelie Chi Zhou, Zhoubin Ke, and Jianmin Lao.
Proceedings of International Conference on Supercomputing (ICS), 2023
● Privacy-preserving Workflow Scheduling in Geo-distributed Data Centers
Yao Xiao, Amelie Chi Zhou*, Xuan Yang, and Bingsheng He.
Future Generation Computer Systems (FGCS), 2022
● Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach
Amelie Chi Zhou, Weilin Xue, Yao Xiao, Bingsheng He, Shadi Ibrahim, and Reynold Cheng.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
● FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market
Amelie Chi Zhou, Jianmin Lao, Zhoubin Ke, Yi Wang, and Rui Mao.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
● PGPregel: An End-to-End System for Privacy-preserving Graph Processing in Geo-distributed Data Centers
Amelie Chi Zhou, Ruibo Qiu, Thomas Lambert, Tristan Allard, Shadi Ibrahim, and Amr El Abbadi.
Proceedings of ACM Symposium on Cloud Computing (SoCC), 2022
● Adaptive Partitioning for Large-Scale Graph Analytics in Geo-Distributed Data Centers
Amelie Chi Zhou, Juanyun Luo, Ruibo Qiu, Haobin Tan, Bingsheng He, and Rui Mao.
Proceedings of IEEE International Conference on Data Engineering (ICDE), 2022
● An Efficient Parallel Secure Machine Learning Framework on GPUs
Feng Zhang, Zheng Chen, Chenyang Zhang, Amelie Chi Zhou, Jidong Zhai, and Xiaoyong Du.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
● Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters
Amelie Chi Zhou, B. Shen, Y. Xiao, S. Ibrahim, and B. He.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2020
● ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs
Zheng Chen, Feng Zhang, Amelie Chi Zhou, Jidong Zhai, Chenyang Zhang, and Xiaoyong Du.
Proceedings of International Conference on Parallel Processing (ICPP), 2020
● Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers
Amelie Chi Zhou, Yao Xiao, Yifan Gong, Bingsheng He, Jidong Zhai, and Rui Mao.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019
● Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows
Amelie Chi Zhou, Yao Xiao, Bingsheng He, Shadi Ibrahim, and Reynold Cheng.
Proceedings of International Conference on Parallel Processing (ICPP), 2019
● BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures
Shuhao Zhang, Jiong He, Amelie Chi Zhou, and Bingsheng He.
Proceedings of ACM SIGMOD International Conference on Management of Data (SIGMOD), 2019
● Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley
Orcun Yildiz, Amelie Chi Zhou, and Shadi Ibrahim.
Future Generation Computer Systems (FGCS), 2018
● Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds
Jad Darrous, Shadi Ibrahim, Amelie Chi Zhou, and Christian Perez.
Proceedings of IEEE International Symposium on Cluster Computing and the Grid (CCGRID), 2018
● Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters
Amelie Chi Zhou, Tien-Dat Phan, Shadi Ibrahim, Bingsheng He.
Proceedings of International Conference on Parallel Processing (ICPP), 2018
● A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in Geo-Distributed Clouds
Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017
● Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems
Orcun Yildiz, Amelie Chi Zhou, Shadi Ibrahim.
Proceedings of IEEE International Conference on Cluster Computing (CLUSTER), 2017
● Energy-Driven Straggler Mitigation in MapReduce
Tien-Dat Phan, Shadi Ibrahim, Amelie Chi Zhou, Guillaume Aupy, Gabriel Antoniu.
Proceedings of European Conference on Parallel Processing (Euro-Par), 2017
● On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters
Amelie Chi Zhou, Shadi Ibrahim, Bingsheng He.
Proceedings of International Conference on Distributed Computing Systems (ICDCS), 2017
● Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors
Shuhao Zhang, Bingsheng He, Daniel Dahlmeier, Amelie Chi Zhou, Thomas Heinze.
Proceedings of International Conference on Data Engineering (ICDE), 2017
● Multi-objective Optimizations in Geo-Distributed Data Analytics Systems
Zhaojie Niu, Bingsheng He, Amelie Chi Zhou, Chiew Tong Lau.
Proceedings of International Conference on Parallel and Distributed Systems (ICPADS), 2017
● Efficient Process Mapping in Geo-Distributed Cloud Data Centers
Amelie Chi Zhou, Yifan Gong, Bingsheng He, Jidong Zhai.
Proceedings of International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2017
● Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds
Amelie Chi Zhou, Bingsheng He, Cheng Liu.
IEEE Transactions on Cloud Computing (TCC), 2016
● Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism
Bingsheng He, Jeffrey Xu Yu, Amelie Chi Zhou.
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2015
● A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds
Amelie Chi Zhou, Bingsheng He, Xuntao Cheng, Chiew Tong Lau.
Proceedings of ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2015