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Rongjian Liang
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2020 – today
- 2024
- [c18]Wei Li, Rongjian Liang, Anthony Agnesina, Haoyu Yang, Chia-Tung Ho, Anand Rajaram, Haoxing Ren:
DGR: Differentiable Global Router. DAC 2024: 303:1-303:6 - [c17]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: 1-6 - [c16]Rongjian Liang, Anthony Agnesina, Haoxing Ren:
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner. ISPD 2024: 3-11 - [c15]Rongjian Liang, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren:
GPU/ML-Enhanced Large Scale Global Routing Contest. ISPD 2024: 269-274 - [c14]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. MLCAD 2024: 2:1-2:7 - [c13]Rongjian Liang, Chia-Tung Ho, Anthony Agnesina, Wen-Hao Liu, Haoxing Ren:
ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis. MLCAD 2024: 8:1-8:7 - [c12]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: 1-4 - [i5]Anthony Agnesina, Rongjian Liang, Geraldo Pradipta, Anand Rajaram, Haoxing Ren:
GOALPlace: Begin with the End in Mind. CoRR abs/2407.04579 (2024) - [i4]Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong:
Learning to Compare Hardware Designs for High-Level Synthesis. CoRR abs/2409.13138 (2024) - 2023
- [c11]Rongjian Liang, Siddhartha Nath, Anand Rajaram, Jiang Hu, Haoxing Ren:
BufFormer: A Generative ML Framework for Scalable Buffering. ASP-DAC 2023: 264-270 - [c10]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: 1-2 - [c9]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: 1-6 - [i3]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 abs/2311.00176 (2023) - 2022
- [j3]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): 3503-3514 (2022) - [j2]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): 4667-4680 (2022) - [c8]Yishuang Lin, Rongjian Liang, Yaguang Li, Hailiang Hu, Jiang Hu:
Mapping Large Scale Finite Element Computing on to Wafer-Scale Engines. ASP-DAC 2022: 147-153 - [c7]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: 64:1-64:8 - [c6]Rongjian Liang, Jianfeng Song, Bo Yuan, Jiang Hu:
Deep Learning Toolkit-Accelerated Analytical Co-Optimization of CNN Hardware and Dataflow. ICCAD 2022: 82:1-82:9 - 2021
- [c5]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: 671-677 - [c4]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: 1-9 - [c3]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: 1-9 - 2020
- [j1]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: 103412 (2020) - [c2]Rongjian Liang, Zhiyao Xie, Jinwook Jung, Vishnavi Chauha, Yiran Chen, Jiang Hu, Hua Xiang, Gi-Joon Nam:
Routing-Free Crosstalk Prediction. ICCAD 2020: 163:1-163:9 - [c1]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: 135-142 - [i2]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 abs/2011.13522 (2020) - [i1]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 abs/2012.01737 (2020)
Coauthor Index
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last updated on 2024-12-02 21:32 CET by the dblp team
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