Rongjian Liang

According to our database, Rongjian Liang authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GOALPlace: Begin with the End in Mind.

Anthony Agnesina, Rongjian Liang, Geraldo Pradipta, Anand Rajaram, Haoxing Ren

CoRR, 2024

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

Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis.

Rongjian Liang, Chia-Tung Ho, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Learning to Compare Hardware Designs for High-Level Synthesis.

Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner.

Rongjian Liang, Anthony Agnesina, Haoxing Ren

Proceedings of the 2024 International Symposium on Physical Design, 2024

GPU/ML-Enhanced Large Scale Global Routing Contest.

Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren

Proceedings of the 2024 International Symposium on Physical Design, 2024

DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture.

Jianfeng Song, Rongjian Liang, Yu Gong, Bo Yuan, Jiang Hu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

DGR: Differentiable Global Router.

Wei Li, Rongjian Liang, Anthony Agnesina, Haoyu Yang, Chia-Tung Ho, Anand Rajaram, Haoxing Ren

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

ChipNeMo: Domain-Adapted LLMs for Chip Design.

Mingjie Liu, Teodor-Dumitru Ene, Robert Kirby, Chris Cheng, Nathaniel Ross Pinckney, Rongjian Liang, Jonah Alben, Himyanshu Anand, Sanmitra Banerjee, Ismet Bayraktaroglu, Bonita Bhaskaran, Bryan Catanzaro, Arjun Chaudhuri, Sharon Clay, Bill Dally, Laura Dang, Parikshit Deshpande, Siddhanth Dhodhi, Sameer Halepete, Eric Hill, Jiashang Hu, Sumit Jain, Brucek Khailany, Kishor Kunal, Xiaowei Li, Hao Liu, Stuart F. Oberman, Sujeet Omar, Sreedhar Pratty, Jonathan Raiman, Ambar Sarkar, Zhengjiang Shao, Hanfei Sun, Pratik P. Suthar, Varun Tej, Kaizhe Xu, Haoxing Ren

CoRR, 2023

Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization.

Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation.

Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

BufFormer: A Generative ML Framework for Scalable Buffering.

Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Haoxing Ren

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

2022

Preplacement Net Length and Timing Estimation by Customized Graph Neural Network.

Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Design Rule Violation Prediction at Sub-10-nm Process Nodes Using Customized Convolutional Networks.

Rongjian Liang, Hua Xiang, Diwesh Pandey, Lakshmi N. Reddy, Shyam Ramji, Gi-Joon Nam, Jiang Hu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Stochastic Approach to Handle Non-Determinism in Deep Learning-Based Design Rule Violation Predictions.

Rongjian Liang, Hua Xiang, Jinwook Jung, Jiang Hu, Gi-Joon Nam

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Deep Learning Toolkit-Accelerated Analytical Co-Optimization of CNN Hardware and Dataflow.

Rongjian Liang, Jianfeng Song, Bo Yuan, Jiang Hu

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Mapping Large Scale Finite Element Computing on to Wafer-Scale Engines.

Yishuang Lin, Rongjian Liang, Yaguang Li, Hailiang Hu, Jiang Hu

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021

FlowTuner: A Multi-Stage EDA Flow Tuner Exploiting Parameter Knowledge Transfer.

Rongjian Liang, Jinwook Jung, Hua Xiang, Lakshmi N. Reddy, Alexey Lvov, Jiang Hu, Gi-Joon Nam

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Automatic Routability Predictor Development Using Neural Architecture Search.

Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation.

Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

Virtual-joint based motion similarity criteria for human-robot kinematics mapping.

Zhang Chen, Ziwei Wang, Rongjian Liang, Bin Liang, Tao Zhang

Robotics Auton. Syst., 2020

DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network.

Rongjian Liang, Hua Xiang, Diwesh Pandey, Lakshmi N. Reddy, Shyam Ramji, Gi-Joon Nam, Jiang Hu

Proceedings of the ISPD 2020: International Symposium on Physical Design, Taipei, Taiwan, March 29, 2020

Routing-Free Crosstalk Prediction.

Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, Gi-Joon Nam

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020