Haodong Lu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Keypoint Detection

Pipeline Architecture

Decision Stumps

Reinforcement Learning

Top Venues

IEEE Trans. Inf. Theory

Publications

Yanming Fu, Weigeng Han, Jingsang Yang, Haodong Lu, Xin Yu
Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training. IEEE Access 12 (2024)
Xiaoxiao Li, Minjia Shi, Shukai Wang, Haodong Lu, Yuxuan Zheng
²-Linear Codes. IEEE Trans. Inf. Theory 70 (5) (2024)
Xilang Zhou, Shuyang Li, Haodong Lu, Kun Wang
PipeFuser: Building Flexible Pipeline Architecture for DNN Accelerators via Layer Fusion. ASPDAC (2024)
Minjia Shi, Haodong Lu, Jon-Lark Kim, Patrick Solé
Triorthogonal codes and self-dual codes. Quantum Inf. Process. 23 (7) (2024)
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR (2024)
Shuyang Li, Xilang Zhou, Haodong Lu, Kun Wang
DNNMapper: An Elastic Framework for Mapping DNNs to Multi-die FPGAs. ISCAS (2024)
Minjia Shi, Haodong Lu, Shuang Zhou, Jiarui Xu, Yuhang Zhu
Equivalence and duality of polycyclic codes associated with trinomials over finite fields. Finite Fields Their Appl. 91 (2023)
Minjia Shi, Haodong Lu, Shuang Zhou, Jiarui Xu
Equivalence and Duality of Polycyclic Codes Associated with Trinomials over Finite Fields. CoRR (2022)
Haodong Lu, Yue Huang, Xiaoshan Zhu, William R. Heineman
Sensitive Detection of Adrenaline using Electrochemically Surface-Treated rGO-AuNPs Electrode. IEEE SENSORS (2022)
Qihua Zhou, Kun Wang, Haodong Lu, Wenyao Xu, Yanfei Sun, Song Guo
Canary: Decentralized Distributed Deep Learning Via Gradient Sketch and Partition in Multi-Interface Networks. IEEE Trans. Parallel Distributed Syst. 32 (4) (2021)
Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
A Comprehensive Inspection of the Straggler Problem. Computer 54 (10) (2021)
Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun, Kun Wang
Falcon: Addressing Stragglers in Heterogeneous Parameter Server Via Multiple Parallelism. IEEE Trans. Computers 70 (1) (2021)
Haodong Lu, Kun Wang
Distributed Machine Learning based Mitigating Straggler in Big Data Environment. ICC (2021)
Haodong Lu, Miao Du, Xiaoming He, Kai Qian, Jianli Chen, Yanfei Sun, Kun Wang
An Adaptive Neural Architecture Search Design for Collaborative Edge-Cloud Computing. IEEE Netw. 35 (5) (2021)
Xiaoming He, Haodong Lu, Miao Du, Yingchi Mao, Kun Wang
QoE-Based Task Offloading With Deep Reinforcement Learning in Edge-Enabled Internet of Vehicles. IEEE Trans. Intell. Transp. Syst. 22 (4) (2021)
Xiaoming He, Haodong Lu, Huawei Huang, Yingchi Mao, Kun Wang, Song Guo
QoE-Based Cooperative Task Offloading with Deep Reinforcement Learning in Mobile Edge Networks. IEEE Wirel. Commun. 27 (3) (2020)
Renhao Huang, Jiqing Wang, Haowei Lou, Haodong Lu, Bofei Wang
Miss Yoga: A Yoga Assistant Mobile Application Based on Keypoint Detection. DICTA (2020)
Haodong Lu, Kun Wang
Towards Mitigating Straggler with Deep Reinforcement Learning in Parameter Server. ICCC (2020)
Xiaoming He, Kun Wang, Haodong Lu, Wenyao Xu, Song Guo
Edge QoE: Intelligent Big Data Caching via Deep Reinforcement Learning. IEEE Netw. 34 (4) (2020)
Xiaoming He, Haodong Lu, Yingchi Mao, Kun Wang
QoE-driven Task Offloading with Deep Reinforcement Learning in Edge intelligent IoV. GLOBECOM (2020)
Haodong Lu, Xiaoming He, Miao Du, Xiukai Ruan, Yanfei Sun, Kun Wang
Edge QoE: Computation Offloading With Deep Reinforcement Learning for Internet of Things. IEEE Internet Things J. 7 (10) (2020)
Qihua Zhou, Kun Wang, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun
Falcon: Towards Computation-Parallel Deep Learning in Heterogeneous Parameter Server. ICDCS (2019)