Prof. Zhonghai Lu
PhD in Electronic Systems Design
KTH Royal Institute of Technology, 2007
Professor
Thrust of Microelectronics, HKUST(GZ)
Biography
Position
Professor with The Hong Kong University of Science and Technology (Guangzhou).
Previously, Professor of Electronic Systems Design, specializing in Dependable and Autonomous Systems, at the School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology. At KTH, he served as Program Director for the Embedded Systems master's programme and as Director of Studies in Electronics and Embedded Systems.
Research
My research spans Network-on-Chip and System-on-Chip, computer system architecture, electronic design automation, embedded systems, and prognostics and health management of electronic chips and systems.
My group works on in-network processing, embedded machine learning and AI accelerators, chiplet networks and architectures, and PHM of electronic chips and systems. We combine computation and communication for performance and power co-optimization, while using hardware acceleration and AI to address problems in computer architecture and embedded systems.
I received research gifts from Intel Corporation in 2011–2013 and secured individual grants from the Swedish Research Council in 2014 and 2020.
I have authored more than 240 scientific papers. Complete records are available through DBLP, Google Scholar, and ORCID.
Research Awards
- Best Paper Candidate nominations at HPCA 2018, NOCS 2013, and ICCAD 2009.
- Best Paper Award at NOCS 2015 and EU HiPEAC Paper Awards.
- IEEE Transactions on Computers Featured Paper of the Month, September 2020.
- Best Paper Award and Young Pioneer Award at PHMAP 2023.
- Academic Paper Award at IEEE ICPHM 2024.
Professional Services
- Prof. Lu has been appointed as Associate Editor for ACM Transactions on Architecture and Code Optimization (TACO) (CCF Class A) since 2019. Recently he was recommended to be Associate Editor for ACM Transactions on Design Automation of Electronic Systems (TODAES) (CCF Class B).
- I was honored to be a General Chair for HiPEAC’2017 held in Stockholm, TPC Chair for NOCS’2017 held in Seoul, South Korea, and General Chair for NOCS’2018 held in Turin, Italy.
Education
BSc in Radio-electronics, Beijing Normal University (1989); MSc in System-on-Chip Design and PhD in Electronic Systems Design, KTH Royal Institute of Technology (2002, 2007); MBA in Innovation and Growth, University of Turku (2012).
HKUST(GZ)
Selected Publications
Health Condition Prediction of Power Diodes Using Particle Filter
Chao Guo; Zhonghai Lu
Applying Reinforcement Learning to Protect Deep Neural Networks from Soft Errors
Peng Su; Yuhang Li; Zhonghai Lu; Dejiu Chen
Pooling On-the-go for NoC-based Convolutional Neural Network Accelerator
Wenyao Zhu; Yizhi Chen; Zhonghai Lu
Bit Transition Reduction by Data Transmission Ordering in NoC-Based DNN Accelerator
Yizhi Chen; Jingwei Li; Wenyao Zhu; Zhonghai Lu
NoCDAS: A Cycle-Accurate NoC-Based Deep Neural Network Accelerator Simulator
Wenyao Zhu; Yizhi Chen; Zhonghai Lu
AsLDPC: Improving Decoding Performance with Absorbing Set Characteristic Aware Low-Density Parity-Check Code
Lanlan Cui; Fei Wu; Xiaojian Liu; Meng Zhang; Zhonghai Lu; Miao Li; Changsheng Xie
High-Precision Low-Latency Method and Architecture for Computing Binary and Decimal Logarithms
Hui Chen; Lianghua Quan; Weiqiang Liu; Zhonghai Lu
Travel Time-Based Task Mapping for NoC-Based DNN Accelerator
Yizhi Chen; Wenyao Zhu; Zhonghai Lu
MCLB: Dynamic Load Balancing and Implications on GPU Memory Controllers
Vahid Geraeinejad; Kun-Chih Jimmy; Zhonghai Lu; Masoumeh Ebrahimi
Impact of Image Sensor Input Faults on Pruned Neural Networks for Object Detection
Yizhi Chen; Wenyao Zhu; Dejiu Chen; Omar Mohammed; Parthib Khound; Zhonghai Lu
Communication Synchronization Aware Arbitration Policy in NoC-Based DNN Accelerators
Wenjie Fan; Siyue Li; Lingxiao Zhu; Zhonghai Lu; Li Li; Yuxiang Fu
Amputee Gait Phase Recognition Using Multiple GMM-HMM
Wenyao Zhu; Zhenbang Liu; Yizhi Chen; Dejiu Chen; Zhonghai Lu
Heterogeneous Reconfigurable Accelerator for Homomorphic Evaluation on Encrypted Data
Wenqing Song; Sirui Shen; Congwei Xu; Yilin Wang; Xinyu Wang; Yuxiang Fu; Li Li; Zhonghai Lu
Automatic Generation and Optimization Framework of NoC-Based Neural Network Accelerator Through Reinforcement Learning
Yongqi Xue; Jinlun Ji; Xinming Yu; Shize Zhou; Siyue Li; Xinyi Li; Tong Cheng; Shiping Li; Kai Chen; Zhonghai Lu; Li Li; Yuxiang Fu
Integrating Self-Organizing Map and Graph Neural Networks to Detect Anomalies in Time-series Data
Peng Su; Hengzhen Yuan; Zhonghai Lu; Dejiu Chen
For the complete publication record, visit DBLP, Google Scholar, or ORCID.
RESEARCH INTEREST
Research Interests
Architecture | Network-on-Chip, chiplet networks, and computer architecture
Intelligence | Embedded machine learning and AI accelerators
Reliability | Prognostics and health management of electronic chips and systems
PhD
PhD Students
Chao Guo
Doctor of Philosophy
Microelectronics
Jingwei Li
Doctor of Philosophy
Microelectronics
Hongji Pei
Doctor of Philosophy
Microelectronics
Yizhe Xiong
Doctor of Philosophy
Microelectronics
Jinhuang Lin
Doctor of Philosophy
Microelectronics
Yang Chen
Doctor of Philosophy
Microelectronics
Yushang Jin
Doctor of Philosophy
Microelectronics
Ruichi Han
Doctor of Philosophy
Microelectronics
Kok Ee Syuen
Doctor of Philosophy
Microelectronics
Xiaotian Jiang
Doctor of Philosophy
Microelectronics