| Jan 22, 2025 | Our paper RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs has been accepted by ICLR 25. |
| Aug 02, 2024 | I received the Eversource Fellowship. Thanks Uconn Eversource Energy Center! |
| Jul 22, 2024 | I gave a talk at the Artificial Intelligence Hardware (AIHW) Annual Review about my work on MaxK-GNN (ASPLOS 24). |
| Jun 25, 2024 | Our paper AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing has been accepted by ICCAD 24. |
| Apr 15, 2024 | I was invited to be a program committee member of the Great Lakes Symposium on VLSI 2024. |
| Nov 07, 2023 | Our paper MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training has been accepted by ASPLOS 24. |
| Jul 20, 2023 | Our paper Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks has been accepted by ICCAD 23. |
| Jul 14, 2023 | Our paper AutoReP: Automatic ReLU Replacement for Fast Private Network Inference has been accepted by ICCV 23. |
| Jan 18, 2023 | Our paper RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference has been accepted by AAAI workshop 23. |
| Nov 07, 2022 | Our team won first place in accuracy and fourth place overall at the 2022 ACM/IEEE TinyML Design Contest at ICCAD. Congratulations! |
| Aug 23, 2022 | I received the Cigna Fellowship. Thanks UConn School of Engineering! |