A Model Description Transformation Tool: From Platform-Specific to Platform-Independent. - Jiawei Fei; Yiping Yao; Feng Zhu 009 (ICMSS, 2017)

Performance Exploration for high Performance Simulation in Lightweight-Virtualization-Based Cloud. - Feng Yao; Yiping Yao; Sirui Bao; Dong Meng; Jiawei Fei; Tianlin Li (ISCID (2), 2017)

OTR: A Fine-Grained Dynamic Power Scaling Pipeline Based on Trace. - Sijiang Fan; Jiawei Fei; Ximing He; Li Shen 007; Zhiying Wang 003 (ISPA/IUCC, 2017)

Parallel Computing in DNNs Using CPU and MIC. - Sijiang Fan; Shiqing Zhang; Ximing He; Jiawei Fei; Li Shen 007; Zhiying Wang 003 (ISPA/IUCC, 2017)

An incremental face recognition system based on deep learning. - Lufan Li; Jun Zhang 003; Jiawei Fei; Shuohao Li (MVA, 2017)

A Reusable Behavior Modeling Method Based on Atom Action and Atom Condition. - Yingqian Bao; Qingjun Qu; Yiping Yao; Jiawei Fei; Miao Zhang (SimuTools, 2017)

A Fine-grained Parallel Approach for one Logical Process on Multi-core Machines. - Jiawei Fei; Yiping Yao; Jing Luan; Lufan Li; Yingqian Bao (SimuTools, 2017)

Accelerating Deep Learning with a Parallel Mechanism Using CPU + MIC. - Sijiang Fan; Jiawei Fei; Li Shen 007 (Int. J. Parallel Program., 2018)

SACC: Configuring Application-Level Cache Intelligently for In-Memory Database Based on Long Short-Term Memory. - Jiawei Fei; Yang Shi 008; Mei Wen; Chunyuan Zhang (HPCC/SmartCity/DSS, 2019)

Metaflow: A Better Traffic Abstraction for Distributed Applications. - Yang Shi 008; Jiawei Fei; Mei Wen; Qun Huang 001; Nan Wu 003 (HPCC/SmartCity/DSS, 2019)

KVSwitch: An In-network Load Balancer for Key-Value Stores. - Yang Shi 008; Jiawei Fei; Mei Wen; Chunyuan Zhang (ISCC, 2019)

Application-Oriented Network Scheduling With Metaflow. - Yang Shi 008; Jiawei Fei; Mei Wen; Chunyuan Zhang (IEEE Access, 2019)

Metaflow: A DAG-Based Network Abstraction for Distributed Applications. - Jiawei Fei; Yang Shi 008; Qun Huang 001; Mei Wen (CoRR, 2019)

CNN+LSTM Accelerated Turbulent Flow Simulation with Link-Wise Artificial Compressibility Method. - Sijiang Fan; Jiawei Fei; Xiaowei Guo; Canqun Yang; Alistair Revell (ICPP, 2021)

Efficient sparse collective communication and its application to accelerate distributed deep learning. - Jiawei Fei; Chen-Yu Ho 001; Atal Narayan Sahu; Marco Canini; Amedeo Sapio (SIGCOMM, 2021)

MZ Core: An Enhanced Matrix Acceleration Engine for HPC/ AI Applications. - Yasong Cao; Mei Wen; Junzhong Shen; Sheng Liu 001; Zhi Wang; Minjin Tang; Yahao Fang; Jianchao Yang; Renyu Yang; Yuhan Kang; Jiawei Fei (HPCC/DSS/SmartCity/DependSys, 2022)

BP-Im2col: Implicit Im2col Supporting AI Backpropagation on Systolic Arrays. - Jianchao Yang; Mei Wen; Junzhong Shen; Yasong Cao; Minjin Tang; Renyu Yang; Jiawei Fei; Chunyuan Zhang (ICCD, 2022)

A Smartnic-Based Secure Aggregation Scheme for Federated Learning. - Shengyin Zang; Jiawei Fei; Xiaodong Ren; Yan Wang; Zhuang Cao; Jiagui Wu (ICCEIC, 2022)

Mentha: Enabling Sparse-Packing Computation on Systolic Arrays. - Minjin Tang; Mei Wen; Yasong Cao; Junzhong Shen; Jianchao Yang; Jiawei Fei; Yang Guo 003; Sheng Liu 001 (ICPP, 2022)

TILE-SIM: A Systematic Approach to Systolic Array-based Accelerator Evaluation. - Yuhang Li; Mei Wen; Jiawei Fei; Junzhong Shen; Yasong Cao (ISPASS, 2022)

Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. - Yifan Yuan; Omar Alama; Jiawei Fei; Jacob Nelson 001; Dan R. K. Ports; Amedeo Sapio; Marco Canini; Nam Sung Kim (NSDI, 2022)

SLAMB: Accelerated Large Batch Training with Sparse Communication. - Hang Xu; Wenxuan Zhang 001; Jiawei Fei; Yuzhe Wu; Tingwen Xie; Jun Huang; Yuchen Xie; Mohamed Elhoseiny; Panos Kalnis (ICML, 2023)

OmNICCL: Zero-cost Sparse AllReduce with Direct Cache Access and SmartNICs. - Tongzhou Gu; Jiawei Fei; Marco Canini (NAIC, 2024)