| Apr, 2025 | Our papers Graph Convolutional Network Acceleration Using Adiabatic Superconductor Josephson Devices and DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs have been accepted by ICS 2025. |
| Jan, 2025 | Our paper RANKFLOW: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models has been accepted by WWW-RelWeb 2025. |
| Jan, 2025 | Our paper RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs has been accepted by ICLR 2025. |
| Aug, 2024 | I received the Eversource Fellowship. Thanks Uconn Eversource Energy Center! |
| Jul, 2024 | I gave a talk at the Artificial Intelligence Hardware (AIHW) Annual Review about my work on MaxK-GNN (ASPLOS 2024). |
| Jun, 2024 | Our paper AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing has been accepted by ICCAD 2024. |
| Apr, 2024 | I was invited to be a program committee member of the Great Lakes Symposium on VLSI 2024. |
| Nov, 2023 | Our paper MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training has been accepted by ASPLOS 2024. |
| Jul, 2023 | Our paper Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks has been accepted by ICCAD 2023. |
| Jul, 2023 | Our paper AutoReP: Automatic ReLU Replacement for Fast Private Network Inference has been accepted by ICCV 2023. |
| Jan, 2023 | Our paper RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference has been accepted by AAAI workshop 2023. |
| Nov, 2022 | Our team won first place in accuracy and fourth place overall at the 2022 ACM/IEEE TinyML Design Contest at ICCAD. Congratulations! |
| Aug, 2022 | I received the Cigna Fellowship. Thanks UConn School of Engineering! |