Invited Talk

  1. [2025] Revisiting CAM on FPGAs. Singapore, NUS-HUST international workshop, 2025.
  2. [2024] From Applications to Efficient Architectures on FPGAs. Shenzhen, China, CCF ESTC 2024
  3. [2024] Parallel Graph Processing on FPGAs. National Defence University, China, 2024.
  4. [2024] From Applications to Efficient Architectures. Wuhan University, China, 2024.
  5. [2024] Domain-specific architectures for modern data intensive applications. University of Electronic Science and Technology China, China, 2024.
  6. [2023] Efficient Graph Processing Architectures. National Defence University, China, 2023. (Virtual)
  7. [2021] Model, Accelerator and System for an Object Detection. Invited talk at Nankai University, 2021. (Virtual)
  8. [2021] DNN Acceleration on the Edge. Invited talk at Zhejiang University, 2021. (Virtual)
  9. [2021] Machine Learning Acceleration for Cyber Security. Invited talk at Create Webinar, Singapore, 2021. (Virtual)
  10. [2021] Deep Neural Networks on FPGAs. Invited talk at Leibniz AI Lab, Leibniz University Hannover, Hannover, Germany, 2021. (Virtual)
  11. [2020] DNN Acceleration: A Cloud to Edge Approach. Invited talk at College of Computer Science, Nankai University, Tianjin China, 2020

Workshop Presentation

  1. [2023] Efficient Architecture for Green Graph Processing on FPGAs. NRF-FRC Green Computing Workshop, Singapore, 2023.
  2. [2021] Low Loss DNN Model Quantization. ADSC workshop, Singapore, 2021. (Virtual)

Paper Presentation

  1. [2022] YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs. WACV Conference, 2022. (Virtual)
  2. [2022] HiKonv: High Throughput Quantized Convolution With Novel Bit-wise Management and Computation. ASP-DAC Conference, 2022. (Virtual)
  3. [2020] HaoCL: Harnessing Large-scale Heterogeneous Processors Made Easy. ICDCS Conference, Singapore, 2020. (Virtual)
  4. [2019] T-DLA: An Open-source Deep Learning Accelerator for Ternarized DNN Models on Embedded FPGA. ISVLSI Conference, Miami, Florida, USA, 2019
  5. [2019] Cloud-DNN: An Open Framework for Mapping DNN Models to Cloud FPGAs. FPGA Conference, Seaside, CA, US, 2019