activity
20192022
most citedTrack-Assignment Detailed Routing Using Attention-based Policy Model With Supervision

13 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2022★ 1 cited

Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron

Haiguang Liao, Vinay Patil, Xuliang Dong +5

We present an automatic multilayer power plane generation method to accelerate the design of printed circuit boards (PCB). In PCB design, while automatic solvers have been develope…

cs.AI2020★ 4 cited

Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing

Dhruv Vashisht, Harshit Rampal, Haiguang Liao +4

Physical design and production of Integrated Circuits (IC) is becoming increasingly more challenging as the sophistication in IC technology is steadily increasing. Placement has be…

cs.LG2020★ 13 cited

Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision

Haiguang Liao, Qingyi Dong, Weiyi Qi +2

Detailed routing is one of the most critical steps in analog circuit design. Complete routing has become increasingly more challenging in advanced node analog circuits, making adva…

cs.LG2020★ 9 cited

Attention Routing: track-assignment detailed routing using attention-based reinforcement learning

Haiguang Liao, Qingyi Dong, Xuliang Dong +5

In the physical design of integrated circuits, global and detailed routing are critical stages involving the determination of the interconnected paths of each net on a circuit whil…

cs.LG2019★ 9 cited

A Deep Reinforcement Learning Approach for Global Routing

Haiguang Liao, Wentai Zhang, Xuliang Dong +3

Global routing has been a historically challenging problem in electronic circuit design, where the challenge is to connect a large and arbitrary number of circuit components with w…