Contents
Conference Service
- TPC @ DAC 2022 (AI/ML Design: System and Platform)
- Publicity Chair @ FCCM 2022
- TPC @ DATE 2021
- TPC @ ICCAD 2021
- TPC @ ICCD 2021
- TPC @ ASAP 2021
- TPC @ DAC 2021 (AI/ML System Design)
- TPC @ ICCD 2020 (EDA Track)
- TPC @ DATE 2020 (Design Methodologies for Machine Learning Architectures)
- TPC @ ICCAD 2020 (Student Research Competition)
- TPC @ CENICS 2020
- TPC @ CENICS 2019
- Session Chair @ GLSVLSI (Special Sessions: “New Trends in Hardware Security”, and “Towards Energy-efficient Machine Learning”)
- Session Chair @ ICCD 2020 (Novel Architectures)
- Session Chair @ DATE 2020 (Hardware-aware Training)
Editor & Reviewer
Journal Editor
- Associate Editor, Neural Processing Letters (Springer)
Journal Reviewer
- Microelectronics Journal
- IEEE Journal on Selected Areas in Communications
- Engineering Optimization
- IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI)
- IEEE Design & Test (D&T)
- Multidimensional Systems & Signal Process (MULT)
- ACM Transactions on Design Automation of Electronic Systems (TODAES)
- IEEE Internet of Things Journal
- ACM Journal on Emerging Technologies in Computing Systems (JETC)
- Journal of Ambient Intelligence and Humanized Computing
- ACM Transactions on Embedded Computing Systems (TECS)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Conference Reviewer
- FCCM, ICCAD, DAC, ASP-DAC, FPGA, ICCD, DATE, ICML
Talks
Scholarly Presentations
- DAC’2021, paper presentation
- TECHCON’2020, paper presentation
- DAC’2020, paper presentation
Invited Talks
- Rutgers EFficient AI (REFAI) Seminar: “How Powerful are Graph Neural Networks and Reinforcement Learning in EDA: a Case Study in High-Level Synthesis”. [Youtube Link]
- GLSVLSI’2021, invited paper presentation “3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration”
- AICAS’2021, invited paper presentation “Software/Hardware Co-design for Multi-modal Multi-task Learning in Autonomous System”
- ICCAD’2019, invited paper presentation “NAIS: Neural Architecture and Implementation Search and its Applications in Autonomous Driving”