Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. - Qihua Zhou; Kun Wang 005; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun (ICDCS, 2019)

QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV. - Xiaoming He; Haodong Lu 001; Yingchi Mao; Kun Wang 005 (GLOBECOM, 2020)

Towards Mitigating Straggler with Deep Reinforcement Learning in Parameter Server. - Haodong Lu 001; Kun Wang 005 (ICCC, 2020)

Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things. - Haodong Lu 001; Xiaoming He; Miao Du; Xiukai Ruan; Yanfei Sun; Kun Wang 005 (IEEE Internet Things J., 2020)

Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning. - Xiaoming He; Kun Wang 005; Haodong Lu 001; Wenyao Xu; Song Guo 001 (IEEE Netw., 2020)

QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks. - Xiaoming He; Haodong Lu 001; Huawei Huang; Yingchi Mao; Kun Wang 005; Song Guo 001 (IEEE Wirel. Commun., 2020)

Distributed Machine Learning based Mitigating Straggler in Big Data Environment. - Haodong Lu 001; Kun Wang 005 (ICC, 2021)

A Comprehensive Inspection of the Straggler Problem. - Qihua Zhou; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun; Kun Wang 005 (Computer, 2021)

An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing. - Haodong Lu 001; Miao Du; Xiaoming He; Kai Qian; Jianli Chen; Yanfei Sun; Kun Wang 005 (IEEE Netw., 2021)

Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. - Qihua Zhou; Song Guo 001; Haodong Lu 001; Li Li 012; Minyi Guo; Yanfei Sun; Kun Wang 005 (IEEE Trans. Computers, 2021)

QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles. - Xiaoming He; Haodong Lu 001; Miao Du; Yingchi Mao; Kun Wang 005 (IEEE Trans. Intell. Transp. Syst., 2021)

Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. - Qihua Zhou; Kun Wang 005; Haodong Lu 001; Wenyao Xu; Yanfei Sun; Song Guo 001 (IEEE Trans. Parallel Distributed Syst., 2021)

An Efficient Piecewise Linear Approximation of Non-linear Operations for Transformer Inference. - Haodong Lu 001; Qichang Mei; Kun Wang 005 (FCCM, 2023)

microGEMM: An Effective CNN-Based Inference Acceleration for Edge Computing. - Zheng Liu; Wei Chen; Kai Qian; Haodong Lu 001; Yinqiu Liu; Siguang Chen; Kun Wang 005 (ICC, 2023)

Auto-LUT: Auto Approximation of Non-Linear Operations for Neural Networks on FPGA. - Haodong Lu 001; Qichang Mei; Kun Wang 005 (ISCAS, 2023)

TrafficHD: Efficient Hyperdimensional Computing for Real-Time Network Traffic Analytics. - Haodong Lu 001; Zhiyuan Ma; Xinran Li; Shiyan Bi; Xiaoming He; Kun Wang 005 (DAC, 2024)

AutoHammer: Breaking the Compilation Wall Between Deep Neural Network and Overlay-based FPGA Accelerator. - Kai Qian; Zheng Liu; Yinqiu Liu; Haodong Lu 001; Zexu Zhang; Ruiqiu Chen; Kun Wang 005 (FPGA, 2024)

End-to-end Compilation is All FPGAs Need: A Unified Overlay-based FPGA Compiler for Deep Learning. - Kai Qian; Haodong Lu 001; Yinqiu Liu; Zexu Zhang; Kun Wang 005 (ASP-DAC, 2025)