6 citations · 25 across the 12 of their papers we have counts for
14 papers
Learning Temporal Causal Structure via Smooth Differentiable Optimization
Tong Zhao, Ce Guo, Wayne Luk +2
Causal discovery with instantaneous effects in multivariate time series is challenging, as the instantaneous structure must be acyclic. Prior methods enforce this by either separat…
SPAC: Automating FPGA-based Network Switches with Protocol Adaptive Customization
Guoyu Li, Yang Cao, Lucas H L Ng +9
With network requirements diverging across emerging applications, latency-critical services demand minimal logic delay, while hyperscale training and collectives require sustained…
ASPO: Constraint-Aware Bayesian Optimization for FPGA-based Soft Processors
Haoran Wu, Ce Guo, Wayne Luk +1
Bayesian Optimization (BO) has shown promise in tuning processor design parameters. However, standard BO does not support constraints involving categorical parameters such as types…
Versatile Cross-platform Compilation Toolchain for Schrödinger-style Quantum Circuit Simulation
Yuncheng Lu, Shuang Liang, Hongxiang Fan +3
While existing quantum hardware resources have limited availability and reliability, there is a growing demand for exploring and verifying quantum algorithms. Efficient classical s…
ResBench: Benchmarking LLM-Generated FPGA Designs with Resource Awareness
Ce Guo, Tong Zhao
Field-Programmable Gate Arrays (FPGAs) are widely used in modern hardware design, yet writing Hardware Description Language (HDL) code for FPGA implementation remains a complex and…
MetaML-Pro: Cross-Stage Design Flow Automation for Efficient Deep Learning Acceleration
Zhiqiang Que, Jose G. F. Coutinho, Ce Guo +2
This paper presents a unified framework for codifying and automating optimization strategies to efficiently deploy deep neural networks (DNNs) on resource-constrained hardware, suc…