activity
20182026
most citedStressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

145 citations · 339 across the 28 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

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.CV2020★ 145 cited

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

Haoliang Jiang, Zhenguo Nie, Roselyn Yeo +2

Using deep learning to analyze mechanical stress distributions has been gaining interest with the demand for fast stress analysis methods. Deep learning approaches have achieved ex…

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.CE2020★ 15 cited

TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain

Zhenguo Nie, Tong Lin, Haoliang Jiang +1

In topology optimization using deep learning, load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design…