Routing-Free Crosstalk Prediction. - Rongjian Liang; Zhiyao Xie; Jinwook Jung; Vishnavi Chauha; Yiran Chen 001; Jiang Hu; Hua Xiang 001; Gi-Joon Nam (ICCAD, 2020)

DRC Hotspot Prediction at Sub-10nm Process Nodes Using Customized Convolutional Network. - Rongjian Liang; Hua Xiang 001; Diwesh Pandey; Lakshmi N. Reddy; Shyam Ramji; Gi-Joon Nam; Jiang Hu (ISPD, 2020)

Virtual-joint based motion similarity criteria for human-robot kinematics mapping. - Zhang Chen; Ziwei Wang 001; Rongjian Liang; Bin Liang 001; Tao Zhang 006 (Robotics Auton. Syst., 2020)

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 001 (ASP-DAC, 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 001 (ICCAD, 2021)

FlowTuner: A Multi-Stage EDA Flow Tuner Exploiting Parameter Knowledge Transfer. - Rongjian Liang; Jinwook Jung; Hua Xiang 001; Lakshmi N. Reddy; Alexey Lvov; Jiang Hu; Gi-Joon Nam (ICCAD, 2021)

Mapping Large Scale Finite Element Computing on to Wafer-Scale Engines. - Yishuang Lin; Rongjian Liang; Yaguang Li; Hailiang Hu; Jiang Hu (ASP-DAC, 2022)

Deep Learning Toolkit-Accelerated Analytical Co-Optimization of CNN Hardware and Dataflow. - Rongjian Liang; Jianfeng Song; Bo Yuan 001; Jiang Hu (ICCAD, 2022)

A Stochastic Approach to Handle Non-Determinism in Deep Learning-Based Design Rule Violation Predictions. - Rongjian Liang; Hua Xiang 001; Jinwook Jung; Jiang Hu; Gi-Joon Nam (ICCAD, 2022)

Design Rule Violation Prediction at Sub-10-nm Process Nodes Using Customized Convolutional Networks. - Rongjian Liang; Hua Xiang 001; Diwesh Pandey; Lakshmi N. Reddy; Shyam Ramji; Gi-Joon Nam; Jiang Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

BufFormer: A Generative ML Framework for Scalable Buffering. - Rongjian Liang; Siddhartha Nath; Anand Rajaram; Jiang Hu; Haoxing Ren (ASP-DAC, 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 (DAC, 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 (ICCAD, 2023)

ChipNeMo: Domain-Adapted LLMs for Chip Design. - Mingjie Liu; Teodor-Dumitru Ene; Robert Kirby 001; Chris Cheng; Nathaniel Ross Pinckney; Rongjian Liang; Jonah Alben; Himyanshu Anand; Sanmitra Banerjee; Ismet Bayraktaroglu; Bonita Bhaskaran; Bryan Catanzaro; et al. (CoRR, 2023)

DGR: Differentiable Global Router. - Wei Li 159; Rongjian Liang; Anthony Agnesina; Haoyu Yang; Chia-Tung Ho; Anand Rajaram; Haoxing Ren (DAC, 2024)

DiMO-Sparse: Differentiable Modeling and Optimization of Sparse CNN Dataflow and Hardware Architecture. - Jianfeng Song; Rongjian Liang; Yu Gong; Bo Yuan 001; Jiang Hu (DATE, 2024)

2024 ICCAD CAD Contest Problem C: Scalable Logic Gate Sizing Using ML Techniques and GPU Acceleration. - Bing-Yue Wu; Rongjian Liang; Geraldo Pradipta; Anthony Agnesina; Haoxing Ren; Vidya A. Chhabria (ICCAD, 2024)

Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. - Zhongzhi Yu; Chaojian Li; Yongan Zhang; Mingjie Liu; Nathaniel Ross Pinckney; Wenfei Zhou; Haoyu Yang; Rongjian Liang; Haoxing Ren; Yingyan Celine Lin (ICCAD, 2024)

GPU/ML-Enhanced Large Scale Global Routing Contest. - Rongjian Liang; Anthony Agnesina; Wen-Hao Liu 001; Haoxing Ren (ISPD, 2024)

MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner. - Rongjian Liang; Anthony Agnesina; Haoxing Ren (ISPD, 2024)

Learning to Compare Hardware Designs for High-Level Synthesis. - Yunsheng Bai; Atefeh Sohrabizadeh; Zijian Ding; Rongjian Liang; Weikai Li 002; Ding Wang; Haoxing Ren; Yizhou Sun; Jason Cong (MLCAD, 2024)

ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis. - Rongjian Liang; Chia-Tung Ho; Anthony Agnesina; Wen-Hao Liu 001; Haoxing Ren (MLCAD, 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 (VTS, 2024)

Hybrid Exact and Heuristic Efficient Transistor Network Optimization for Multi-Output Logic. - Lang Feng 001; Rongjian Liang; Hongxin Kong (DATE, 2025)

GOALPlace: Begin with the End in Mind. - Anthony Agnesina; Rongjian Liang; Geraldo Pradipta; Anand Rajaram; Haoxing Ren (ISPD, 2025)

Invited: ISPD 2025 Performance-Driven Large Scale Global Routing Contest. - Rongjian Liang; Anthony Agnesina; Wen-Hao Liu 001; Matt Liberty; Hsin-Tzu Chang; Haoxing Ren (ISPD, 2025)

LEGO-Size: LLM-Enhanced GPU-Optimized Signoff-Accurate Differentiable VLSI Gate Sizing in Advanced Nodes. - Yi-Chen Lu; Kishor Kunal; Geraldo Pradipta; Rongjian Liang; Ravikishore Gandikota; Haoxing Ren (ISPD, 2025)

DiMO-CNN: Deep Learning Toolkit-Accelerated Analytical Modeling and Optimization of CNN Hardware and Dataflow. - Jianfeng Song; Rongjian Liang; Bo Yuan 001; Jiang Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Learning Library Cell Representations in Vector Space. - Rongjian Liang; Yi-Chen Lu; Wen-Hao Liu; Haoxing Ren (CoRR, 2025)

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. - Hongzheng Chen; Yingheng Wang; Yaohui Cai; Hins Hu; Jiajie Li; Shirley Huang; Chenhui Deng; Rongjian Liang; Shufeng Kong; Haoxing Ren; Samitha Samaranayake; Carla P. Gomes; et al. (CoRR, 2025)