Rongjian Liang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 22

Top Topics

Unsupervised Learning

Technical Aspects

Top Venues

Publications

Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Rongjian Liang, Haoxing Ren, Sachin S. Sapatnekar, Bing-Yue Wu
OpenROAD and CircuitOps: Infrastructure for ML EDA Research and Education. VTS (2024)
Jianfeng Song, Rongjian Liang, Yu Gong, Bo Yuan, Jiang Hu
DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture. DATE (2024)
Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren
GPU/ML-Enhanced Large Scale Global Routing Contest. ISPD (2024)
Anthony Agnesina, Rongjian Liang, Geraldo Pradipta, Anand Rajaram, Haoxing Ren
GOALPlace: Begin with the End in Mind. CoRR (2024)
Rongjian Liang, Anthony Agnesina, Haoxing Ren
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner. ISPD (2024)
Rongjian Liang, Anthony Agnesina, Geraldo Pradipta, Vidya A. Chhabria, Haoxing Ren
Invited Paper: CircuitOps: An ML Infrastructure Enabling Generative AI for VLSI Circuit Optimization. ICCAD (2023)
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
ChipNeMo: Domain-Adapted LLMs for Chip Design. CoRR (2023)
Rongjian Liang, Nathaniel Ross Pinckney, Yuji Chai, Haoxin Ren, Brucek Khailany
Late Breaking Results: Test Selection For RTL Coverage By Unsupervised Learning From Fast Functional Simulation. DAC (2023)
Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Haoxing Ren
BufFormer: A Generative ML Framework for Scalable Buffering. ASP-DAC (2023)
Rongjian Liang, Hua Xiang, Diwesh Pandey, Lakshmi N. Reddy, Shyam Ramji, Gi-Joon Nam, Jiang Hu
Design Rule Violation Prediction at Sub-10-nm Process Nodes Using Customized Convolutional Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (10) (2022)
Rongjian Liang, Hua Xiang, Jinwook Jung, Jiang Hu, Gi-Joon Nam
A Stochastic Approach to Handle Non-Determinism in Deep Learning-Based Design Rule Violation Predictions. ICCAD (2022)
Rongjian Liang, Jianfeng Song, Yuan Bo, Jiang Hu
Deep Learning Toolkit-Accelerated Analytical Co-Optimization of CNN Hardware and Dataflow. ICCAD (2022)
Yishuang Lin, Rongjian Liang, Yaguang Li, Hailiang Hu, Jiang Hu
Mapping Large Scale Finite Element Computing on to Wafer-Scale Engines. ASP-DAC (2022)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen
Preplacement Net Length and Timing Estimation by Customized Graph Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Rongjian Liang, Jinwook Jung, Hua Xiang, Lakshmi N. Reddy, Alexey Lvov, Jiang Hu, Gi-Joon Nam
FlowTuner: A Multi-Stage EDA Flow Tuner Exploiting Parameter Knowledge Transfer. ICCAD (2021)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. ASP-DAC (2021)
Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen
Automatic Routability Predictor Development Using Neural Architecture Search. ICCAD (2021)
Zhang Chen, Ziwei Wang, Rongjian Liang, Bin Liang, Tao Zhang
Virtual-joint based motion similarity criteria for human-robot kinematics mapping. Robotics Auton. Syst. 125 (2020)
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Yixiao Duan, Yiran Chen
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation. CoRR (2020)
Jingyu Pan, Chen-Chia Chang, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen
Automatic Routability Predictor Development Using Neural Architecture Search. CoRR (2020)
Rongjian Liang, Hua Xiang, Diwesh Pandey, Lakshmi N. Reddy, Shyam Ramji, Gi-Joon Nam, Jiang Hu
DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network. ISPD (2020)
Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, Gi-Joon Nam
Routing-Free Crosstalk Prediction. ICCAD (2020)