Probabilistic Scheduling of Scientific Workflows in Dynamic Cloud Environments. - Amelie Chi Zhou; Bingsheng He; Cheng Liu 008 (CoRR, 2013)

Simplified Resource Provisioning for Workflows in IaaS Clouds. - Amelie Chi Zhou; Bingsheng He (CloudCom, 2014)

A Taxonomy and Survey on eScience as a Service in the Cloud. - Amelie Chi Zhou; Bingsheng He; Shadi Ibrahim (CoRR, 2014)

Transformation-Based Monetary CostOptimizations for Workflows in the Cloud. - Amelie Chi Zhou; Bingsheng He (IEEE Trans. Cloud Comput., 2014)

A Declarative Optimization Engine for Resource Provisioning of Scientific Workflows in IaaS Clouds. - Amelie Chi Zhou; Bingsheng He; Xuntao Cheng; Chiew Tong Lau (HPDC, 2015)

Monetary cost optimizations for MPI-based HPC applications on Amazon clouds: checkpoints and replicated execution. - Yifan Gong 003; Bingsheng He; Amelie Chi Zhou (SC, 2015)

Improving Update-Intensive Workloads on Flash Disks through Exploiting Multi-Chip Parallelism. - Bingsheng He; Jeffrey Xu Yu; Amelie Chi Zhou (IEEE Trans. Parallel Distributed Syst., 2015)

Monetary Cost Optimizations for Hosting Workflow-as-a-Service in IaaS Clouds. - Amelie Chi Zhou; Bingsheng He; Cheng Liu 008 (IEEE Trans. Cloud Comput., 2016)

Eley: On the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems. - Orcun Yildiz; Amelie Chi Zhou; Shadi Ibrahim (CLUSTER, 2017)

Energy-Driven Straggler Mitigation in MapReduce. - Tien-Dat Phan; Shadi Ibrahim; Amelie Chi Zhou; Guillaume Aupy; Gabriel Antoniu (Euro-Par, 2017)

On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters. - Amelie Chi Zhou; Shadi Ibrahim; Bingsheng He (ICDCS, 2017)

Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors. - Shuhao Zhang 001; Bingsheng He; Daniel Dahlmeier; Amelie Chi Zhou; Thomas Heinze 001 (ICDE, 2017)

Multi-objective Optimizations in Geo-Distributed Data Analytics Systems. - Zhaojie Niu; Bingsheng He; Amelie Chi Zhou; Chiew Tong Lau (ICPADS, 2017)

Efficient process mapping in geo-distributed cloud data centers. - Amelie Chi Zhou; Yifan Gong 003; Bingsheng He; Jidong Zhai (SC, 2017)

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 Trans. Parallel Distributed Syst., 2017)

Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds. - Jad Darrous; Shadi Ibrahim; Amelie Chi Zhou; Christian Pérez (CCGrid, 2018)

Energy-Efficient Speculative Execution using Advanced Reservation for Heterogeneous Clusters. - Amelie Chi Zhou; Tien-Dat Phan; Shadi Ibrahim; Bingsheng He (ICPP, 2018)

Improving the Effectiveness of Burst Buffers for Big Data Processing in HPC Systems with Eley. - Orcun Yildiz; Amelie Chi Zhou; Shadi Ibrahim (Future Gener. Comput. Syst., 2018)

PATCH: Process-Variation-Resilient Space Allocation for Open-Channel SSD with 3D Flash. - Jing Chen; Yi Wang 003; Amelie Chi Zhou; Rui Mao 001; Tao Li 006 (DATE, 2019)

Towards Cross-Platform Inference on Edge Devices with Emerging Neuromorphic Architecture. - Shangyu Wu; Yi Wang 003; Amelie Chi Zhou; Rui Mao 001; Zili Shao; Tao Li 006 (DATE, 2019)

Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows. - Amelie Chi Zhou; Yao Xiao; Bingsheng He; Shadi Ibrahim; Reynold Cheng (ICPP, 2019)

BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures. - Shuhao Zhang 001; Jiong He; Amelie Chi Zhou; Bingsheng He (SIGMOD Conference, 2019)

Privacy Regulation Aware Process Mapping in Geo-Distributed Cloud Data Centers. - Amelie Chi Zhou; Yao Xiao; Yifan Gong 003; Bingsheng He; Jidong Zhai; Rui Mao 001 (IEEE Trans. Parallel Distributed Syst., 2019)

Big Data and Exascale Computing. - Amelie Chi Zhou; Bingsheng He (Encyclopedia of Big Data Technologies, 2019)

ParSecureML: An Efficient Parallel Secure Machine Learning Framework on GPUs. - Zheng Chen 001; Feng Zhang 007; Amelie Chi Zhou; Jidong Zhai; Chenyang Zhang 005; Xiaoyong Du 001 (ICPP, 2020)

Cost-Aware Partitioning for Efficient Large Graph Processing in Geo-Distributed Datacenters. - Amelie Chi Zhou; Bingkun Shen; Yao Xiao; Shadi Ibrahim; Bingsheng He (IEEE Trans. Parallel Distributed Syst., 2020)

An Efficient Parallel Secure Machine Learning Framework on GPUs. - Feng Zhang 007; Zheng Chen 001; Chenyang Zhang 005; Amelie Chi Zhou; Jidong Zhai; Xiaoyong Du 001 (IEEE Trans. Parallel Distributed Syst., 2021)

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; Amr El Abbadi (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; Rui Mao 001 (ICDE, 2022)

Privacy-preserving workflow scheduling in geo-distributed data centers. - Yao Xiao; Amelie Chi Zhou; Xuan Yang; Bingsheng He (Future Gener. Comput. Syst., 2022)

FarSpot: Optimizing Monetary Cost for HPC Applications in the Cloud Spot Market. - Amelie Chi Zhou; Jianming Lao; Zhoubin Ke; Yi Wang 003; Rui Mao 001 (IEEE Trans. Parallel Distributed Syst., 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; Reynold Cheng (IEEE Trans. Parallel Distributed Syst., 2022)

DyVer: Dynamic Version Handling for Array Databases. - Amelie Chi Zhou; Zhoubin Ke; Jianming Lao (ICS, 2023)

Low-Latency Video Conferencing System for Geo-Distributed Data Centers. - Yao Xiao; Sitian Chen; Amelie Chi Zhou; Shuhao Zhang 001; Yi Wang 003; Rui Mao 001; Xuan Yang (CoRR, 2023)

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. - Yuxin Wang 003; Shaohuai Shi; Xin He; Zhenheng Tang; Xinglin Pan; Yang Zheng; Xiaoyu Wu; Amelie Chi Zhou; Bingsheng He; Xiaowen Chu 001 (CoRR, 2023)

UpDLRM: Accelerating Personalized Recommendation using Real-World PIM Architecture. - Sitian Chen; Haobin Tan; Amelie Chi Zhou; Yusen Li; Pavan Balaji (DAC, 2024)

Boosting Write Performance of KV Stores: An NVM - Enabled Storage Collaboration Approach. - Yi Wang 003; Jiajian He; Kaoyi Sun; Yunhao Dong; Jiaxian Chen; Chenlin Ma; Amelie Chi Zhou; Rui Mao 001 (ICDE, 2024)

Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning. - Zichen Tang; Junlin Huang; Rudan Yan; Yuxin Wang 003; Zhenheng Tang; Shaohuai Shi; Amelie Chi Zhou; Xiaowen Chu 001 (ICPP, 2024)

Tackling Cold Start in Serverless Computing with Multi-Level Container Reuse. - Amelie Chi Zhou; Rongzheng Huang; Zhoubin Ke; Yusen Li; Yi Wang 003; Rui Mao 001 (IPDPS, 2024)

Low-Latency Video Conferencing via Optimized Packet Routing and Reordering. - Yao Xiao; Sitian Chen; Amelie Chi Zhou; Shuhao Zhang 001; Yi Wang 003; Rui Mao 001; Xuan Yang (IWQoS, 2024)

FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. - Zhenheng Tang; Yonggang Zhang 003; Peijie Dong; Yiu-ming Cheung; Amelie Chi Zhou; Bo Han 003; Xiaowen Chu 001 (NeurIPS, 2024)

Towards Efficient and Reliable LLM Serving: A Real-World Workload Study. - Yuxin Wang 003; Yuhan Chen; Zeyu Li; Zhenheng Tang; Rui Guo; Xin Wang; Qiang Wang 022; Amelie Chi Zhou; Xiaowen Chu 001 (CoRR, 2024)

FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression. - Zhenheng Tang; Xueze Kang; Yiming Yin; Xinglin Pan; Yuxin Wang 003; Xin He; Qiang Wang 022; Rongfei Zeng; Kaiyong Zhao; Shaohuai Shi; Amelie Chi Zhou; Bo Li 001; et al. (CoRR, 2024)

MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware. - Sitian Chen; Amelie Chi Zhou; Yucheng Shi; Yusen Li; Xin Yao (CoRR, 2024)

Adaptive key partitioning in distributed stream processing. - Gang Liu 028; Zeting Wang; Amelie Chi Zhou; Rui Mao 001 (CCF Trans. High Perform. Comput., 2024)

ParaCoder: Parallel Code Generation with Large Language Model. - Xiaowen Huang; Xu Zhang; Lvfang Tao; Renjie Mao; Nan Zhou; Wenxi Zhu; Minwen Deng; Jintao Meng 001; Yanjie Wei; Amelie Chi Zhou; Bingqiang Wang; Shengzhong Feng (FCPC@PPOPP, 2025)

NM-SpMM: Accelerating Matrix Multiplication Using N: M Sparsity with GPGPU. - Cong Ma; Du Wu; Zhelang Deng; Jiang Chen; Xiaowen Huang; Jintao Meng 001; Wenxi Zhu; Bingqiang Wang; Amelie Chi Zhou; Peng Chen 035; Minwen Deng; Yanjie Wei; et al. (IPDPS, 2025)

DreamDDP: Accelerating Data Parallel Distributed LLM Training with Layer-wise Scheduled Partial Synchronization. - Zhenheng Tang; Zichen Tang; Junlin Huang; Xinglin Pan; Rudan Yan; Yuxin Wang 003; Amelie Chi Zhou; Shaohuai Shi; Xiaowen Chu 001; Bo Li 001 (CoRR, 2025)

Tribase: A Vector Data Query Engine for Reliable and Lossless Pruning Compression using Triangle Inequalities. - Qian Xu; Juan Yang 018; Feng Zhang 007; Junda Pan; Kang Chen; Youren Shen; Amelie Chi Zhou; Xiaoyong Du 001 (Proc. ACM Manag. Data, 2025)

NM-SpMM: Accelerating Matrix Multiplication Using N:M Sparsity with GPGPU. - Cong Ma; Du Wu; Zhelang Deng; Jiang Chen; Xiaowen Huang; Jintao Meng 001; Wenxi Zhu; Bingqiang Wang; Amelie Chi Zhou; Peng Chen 035; Minwen Deng; Yanjie Wei; et al. (CoRR, 2025)

Distributed and Adaptive Partitioning for Large Graphs in Geo-Distributed Data Centers. - Haobin Tan; Yao Xiao; Amelie Chi Zhou; Kezhong Lu; Xuan Yang (IEEE Trans. Parallel Distributed Syst., 2025)