Multiple CNN-based Tasks Scheduling across Shared GPU Platform in Research and Development Scenarios. - Zhaoyun Chen; Lei Luo 002; Wei Quan 004; Yang Shi 008; Jie Yu 008; Mei Wen; Chunyuan Zhang (HPCC/SmartCity/DSS, 2018)

SWAP: a sliding window algorithm for in-network packet measurement. - Zijun Hang; Yang Shi 008; Mei Wen; Wei Quan 004; Chunyuan Zhang (HP3C, 2019)

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)

TBSW: Time-Based Sliding Window Algorithm for Network Traffic Measurement. - Zijun Hang; 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)

Interleaved Sketch: Toward Consistent Network Telemetry for Commodity Programmable Switches. - Zijun Hang; Mei Wen; Yang Shi 008; Chunyuan Zhang (IEEE Access, 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)

Towards High-Efficiency Data Centers via Job-Aware Network Scheduling. - Yang Shi 008; Mei Wen; Chunyuan Zhang (ICPP, 2020)

Incremental Deployment of Programmable Switches for Sketch-based Network Measurement. - Yang Shi 008; Mei Wen; Chunyuan Zhang (ISCC, 2020)

sRouting: Towards a Better Flow Size Estimation Performance through Routing and Sketch Configuration. - Yang Shi 008; Mei Wen (ICPP, 2021)

Automatic mapping and code optimization for OpenCL kernels on FT-matrix architecture (WIP paper). - Xiaolei Zhao; Mei Wen; Zhaoyun Chen; Yang Shi 008; Chunyuan Zhang (LCTES, 2021)

Exploring ILP for VLIW Architecture by Quantified Modeling and Dynamic Programming-Based Instruction Scheduling. - Can Deng; Zhaoyun Chen; Yang Shi 008; Xichang Kong; Mei Wen (ASP-DAC, 2022)

CORF: Bridging the Gap of Complex Operator Fusion for Faster DNN Inference. - Jianan Wang; Yang Shi 008; Zhaoyun Chen; Mei Wen (HPCC/DSS/SmartCity/DependSys, 2022)

Light: A Component Enhances Faster and More Accurate Traffic Measurement*. - Jianchao Yang; Mei Wen; Xiaolei Zhao; Yang Shi 008 (ICC, 2022)

Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs. - Xiaolei Zhao; Zhaoyun Chen; Yang Shi 008; Mei Wen; Chunyun Zhang (DAC, 2023)

Releasing the Potential of Tensor Core for Unstructured SpMM using Tiled-CSR Format. - Zeyu Xue; Mei Wen; Zhaoyun Chen; Yang Shi 008; Minjin Tang; Jianchao Yang; Zhongdi Luo (ICCD, 2023)

MAP-SIM: A Performance Model for Shared-Memory Heterogeneous Systems with Mapping Awareness. - Yuhang Li; Mei Wen; Junzhong Shen; Zhaoyun Chen; Yang Shi 008 (ICA3PP (1), 2024)

HyFiSS: A Hybrid Fidelity Stall-Aware Simulator for GPGPUs. - Jianchao Yang; Mei Wen; Dong Chen 015; Zhaoyun Chen; Zeyu Xue; Yuhang Li; Junzhong Shen; Yang Shi 008 (MICRO, 2024)

ESEN: Efficient GPU sharing of Ensemble Neural Networks. - Jianan Wang; Yang Shi 008; Zhaoyun Chen; Mei Wen (Neurocomputing, 2024)

Optimizing VLIW Instruction Scheduling via a Two-Dimensional Constrained Dynamic Programming. - Can Deng; Zhaoyun Chen; Yang Shi 008; Yimin Ma; Mei Wen; Lei Luo 002 (ACM Trans. Design Autom. Electr. Syst., 2024)

WinAcc: Window-based Acceleration of Neural Networks Using Block Floating Point. - Xin Ju 005; Jun He; Mei Wen; Jing Feng; Yasong Cao; Junzhong Shen; Zhaoyun Chen; Yang Shi 008 (DATE, 2025)

SparSynergy: Unlocking Flexible and Efficient DNN Acceleration Through Multi-Level Sparsity. - Jingkui Yang; Mei Wen; Junzhong Shen; Jianchao Yang; Yasong Cao; Jun He; Minjin Tang; Zhaoyun Chen; Yang Shi 008 (DATE, 2025)

ESCAN: Efficient GPU sharing for cascade neural network inference. - Jianan Wang; Yang Shi 008; Zhaoyun Chen; Mei Wen (Neural Networks, 2025)

HWPQ: Hessian-free Weight Pruning-Quantization For LLM Compression And Acceleration. - Yuhan Kang; Zhongdi Luo; Mei Wen; Yang Shi 008; Jun He; Jianchao Yang; Zeyu Xue; Jing Feng; Xinwang Liu (CoRR, 2025)

FAMS: A FrAmework of Memory-Centric Mapping for DNNs on Systolic Array Accelerators. - Hao Sun; Junzhong Shen; Tian Zhang; Zhongyi Tang; Changwu Zhang; Yuhang Li; Yang Shi 008; Hengzhu Liu (IEEE Trans. Very Large Scale Integr. Syst., 2025)