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Liang, Rongjian
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1

GPU/ML-Enhanced Large Scale Global Routing Contest:

, In: Proceedings of the 2024 International Symposium on Physical Design,
Liang, Rongjian ; Agnesina, Anthony ; Liu, Wen-Hao. - p. 269-274 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

MedPart: A Multi-Level Evolutionary Differentiable Hypergra..:

, In: Proceedings of the 2024 International Symposium on Physical Design,
Liang, Rongjian ; Agnesina, Anthony ; Ren, Haoxing - p. 3-11 , 2024
Link: https://dl.acm.org/doi/1..
 
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3

OpenROAD and CircuitOps: Infrastructure for ML EDA Research..:

, In: 2024 IEEE 42nd VLSI Test Symposium (VTS),
Chhabria, Vidya A. ; Jiang, Wenjing ; Kahng, Andrew B.... - p. 1-4 , 2024
Link: https://doi.org/10.1109/..
 
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4

Late Breaking Results: Test Selection For RTL Coverage By U..:

, In: 2023 60th ACM/IEEE Design Automation Conference (DAC),
Liang, Rongjian ; Pinckney, Nathaniel ; Chai, Yuji.. - p. 1-2 , 2023
Link: https://doi.org/10.1109/..
 
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5

BufFormer : A Generative ML Framework for Scalable Buffe..:

, In: Proceedings of the 28th Asia and South Pacific Design Automation Conference,
Liang, Rongjian ; Nath, Siddhartha ; Rajaram, Anand.. - p. 264-270 , 2023
Link: https://dl.acm.org/doi/1..
 
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6

Invited Paper: CircuitOps: An ML Infrastructure Enabling Ge..:

, In: 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD),
Liang, Rongjian ; Agnesina, Anthony ; Pradipta, Geraldo.. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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7

Net-Based Machine Learning-Aided Approaches for Timing and ..:

, In: Machine Learning Applications in Electronic Design Automation,
Liang, Rongjian ; Xie, Zhiyao ; Barboza, Erick Carvajal. - p. 63-84 , 2022
Link: https://doi.org/10.1007/..
 
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8

Preplacement Net Length and Timing Estimation by Customized..:

Xie, Zhiyao ; Liang, Rongjian ; Xu, Xiaoqing...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  41 (2022)  11 - p. 4667-4680 , 2022
Link: https://doi.org/10.1109/..
 
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9

Deep Learning for Routability:

, In: Machine Learning Applications in Electronic Design Automation,
Xie, Zhiyao ; Pan, Jingyu ; Chang, Chen-Chia... - p. 35-61 , 2022
Link: https://doi.org/10.1007/..
 
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10

Design Rule Violation Prediction at Sub-10-nm Process Nodes..:

Liang, Rongjian ; Xiang, Hua ; Pandey, Diwesh...
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.  41 (2022)  10 - p. 3503-3514 , 2022
Link: https://doi.org/10.1109/..
 
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11

Deep Learning Toolkit-Accelerated Analytical Co-Optimizatio..:

, In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design,
Liang, Rongjian ; Song, Jianfeng ; Bo, Yuan. - p. 1-9 , 2022
Link: https://dl.acm.org/doi/1..
 
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12

A Stochastic Approach to Handle Non-Determinism in Deep Lea..:

, In: Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design,
Liang, Rongjian ; Xiang, Hua ; Jung, Jinwook.. - p. 1-8 , 2022
Link: https://dl.acm.org/doi/1..
 
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13

Mapping Large Scale Finite Element Computing on to Wafer-Sc..:

, In: 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC),
Lin, Yishuang ; Liang, Rongjian ; Li, Yaguang.. - p. 147-153 , 2022
Link: https://doi.org/10.1109/..
 
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14

Net2 : A Graph Attention Network Method Customized for P..:

, In: Proceedings of the 26th Asia and South Pacific Design Automation Conference,
Xie, Zhiyao ; Liang, Rongjian ; Xu, Xiaoqing... - p. 671-677 , 2021
Link: https://dl.acm.org/doi/1..
 
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15

DRC Hotspot Prediction at Sub-10nm Process Nodes Using Cust..:

, In: Proceedings of the 2020 International Symposium on Physical Design,
Liang, Rongjian ; Xiang, Hua ; Pandey, Diwesh... - p. 135-142 , 2020
Link: https://dl.acm.org/doi/1..
 
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