Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). - Zhiding Liang; Zhepeng Wang 001; Junhuan Yang; Lei Yang 018; Yiyu Shi 001; Weiwen Jiang (ICCAD, 2021)

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs: (Invited Paper). - Zhepeng Wang 001; Zhiding Liang; Shanglin Zhou; Caiwen Ding; Yiyu Shi 001; Weiwen Jiang (ICCAD, 2021)

Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. - Zhiding Liang; Zhepeng Wang 001; Junhuan Yang; Lei Yang 018; Jinjun Xiong; Yiyu Shi 001; Weiwen Jiang (CoRR, 2021)

Exploration of Quantum Neural Architecture by Mixing Quantum Neuron Designs. - Zhepeng Wang 001; Zhiding Liang; Shanglin Zhou; Caiwen Ding; Jinjun Xiong; Yiyu Shi 001; Weiwen Jiang (CoRR, 2021)

TorchQuantum Case Study for Robust Quantum Circuits. - Hanrui Wang 002; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; Song Han 003 (ICCAD, 2022)

Variational Quantum Pulse Learning. - Zhiding Liang; Hanrui Wang 002; Jinglei Cheng; Yongshan Ding 001; Hang Ren; Zhengqi Gao; Zhirui Hu; Duane S. Boning; Xuehai Qian; Song Han 003; Weiwen Jiang; Yiyu Shi 001 (QCE, 2022)

PAN: Pulse Ansatz on NISQ Machines. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Yongshan Ding 001; Fred Chong; Song Han 003; Yiyu Shi 001; Xuehai Qian (CoRR, 2022)

Improving Quantum Classifier Performance in NISQ Computers by Voting Strategy from Ensemble Learning. - Ruiyang Qin; Zhiding Liang; Jinglei Cheng; Peter M. Kogge; Yiyu Shi 001 (CoRR, 2022)

TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits. - Jinglei Cheng; Hanrui Wang 002; Zhiding Liang; Yiyu Shi 001; Song Han 003; Xuehai Qian (CoRR, 2022)

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation. - Hanrui Wang 002; Pengyu Liu; Jinglei Cheng; Zhiding Liang; Jiaqi Gu 002; Zirui Li; Yongshan Ding 001; Weiwen Jiang; Yiyu Shi 001; Xuehai Qian; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2022)

Hybrid Gate-Pulse Model for Variational Quantum Algorithms. - Zhiding Liang; Zhixin Song; Jinglei Cheng; Zichang He; Ji Liu 007; Hanrui Wang 002; Ruiyang Qin; Yiru Wang; Song Han 003; Xuehai Qian; Yiyu Shi 001 (DAC, 2023)

QuCS: A Lecture Series on Quantum Computer Software and System. - Zhiding Liang; Hanrui Wang 002 (QCE, 2023)

RobustState: Boosting Fidelity of Quantum State Preparation via Noise-Aware Variational Training. - Hanrui Wang 002; Yilian Liu; Pengyu Liu; Jiaqi Gu 002; Zirui Li; Zhiding Liang; Jinglei Cheng; Yongshan Ding 001; Xuehai Qian; Yiyu Shi 001; David Z. Pan; Frederic T. Chong; et al. (CoRR, 2023)

Invited: Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. - Zhiding Liang; Gang Liu 025; Zheyuan Liu 010; Jinglei Cheng; Tianyi Hao 003; Kecheng Liu; Hang Ren; Zhixin Song; Ji Liu 007; Fanny Ye; Yiyu Shi 001 (DAC, 2024)

Combining Parameterized Pulses and Contextual Subspace for More Practical VQE. - Zhiding Liang; Zhixin Song; Jinglei Cheng; Hang Ren; Tianyi Hao 003; Rui Yang; Yiyu Shi 001; Tongyang Li (DAC, 2024)

Compiler Optimizations for QAOA. - Yuchen Zhu; Yidong Zhou; Jinglei Cheng; Yuwei Jin; Boxi Li; Siyuan Niu; Zhiding Liang (ICCAD, 2024)

Graph Learning for Parameter Prediction of Quantum Approximate Optimization Algorithm. - Zhiding Liang; Gang Liu 025; Zheyuan Liu 010; Jinglei Cheng; Tianyi Hao 003; Kecheng Liu; Hang Ren; Zhixin Song; Ji Liu 007; Fanny Ye; Yiyu Shi 001 (CoRR, 2024)

Quantum-machine-assisted Drug Discovery: Survey and Perspective. - Yidong Zhou; Jintai Chen; Jinglei Cheng; Gopal Karemore; Marinka Zitnik; Frederic T. Chong; Junyu Liu; Tianfan Fu; Zhiding Liang (CoRR, 2024)

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design. - Dannong Wang; Jintai Chen; Zhiding Liang; Tianfan Fu; Xiao-Yang Liu (CoRR, 2024)

Tackling Coherent Noise in Quantum Computing via Cross-Layer Compiler Optimization. - Xiangyu Ren; Junjie Wan; Zhiding Liang; Antonio Barbalace (CoRR, 2024)

Efficient Circuit Cutting and Scheduling in a Multi-Node Quantum System with Dynamic EPR Pairs. - Zefan Du; Wenrui Zhang; Wenqi Wei 001; Juntao Chen; Tao Han 002; Zhiding Liang; Ying Mao 001 (CoRR, 2024)

NAPA: Intermediate-Level Variational Native-Pulse Ansatz for Variational Quantum Algorithms. - Zhiding Liang; Jinglei Cheng; Hang Ren; Hanrui Wang 002; Fei Hua; Zhixin Song; Yongshan Ding 001; Frederic T. Chong; Song Han 003; Xuehai Qian; Yiyu Shi 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

VIOLET: Visual Analytics for Explainable Quantum Neural Networks. - Shaolun Ruan; Zhiding Liang; Qiang Guan; Paul Griffin; Xiaolin Wen; Yanna Lin; Yong Wang 021 (IEEE Trans. Vis. Comput. Graph., 2024)

Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly Detection. - Yifeng Peng; Xinyi Li; Zhiding Liang; Ying Wang (AAAI, 2025)

Intuit: Explain Quantum Computing Concepts via AR-based Analogy. - Manusha Karunathilaka; Shaolun Ruan; Lin-Ping Yuan; Jiannan Li; Zhiding Liang; Kavinda Athapaththu; Qiang Guan; Yong Wang 021 (CHI Extended Abstracts, 2025)

CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction. - Xiang Fang; Keyi Yin; Yuchen Zhu; Jixuan Ruan; Dean Tullsen; Zhiding Liang; Andrew Sornborger; Ang Li 006; Travis S. Humble; Yufei Ding 001; Yunong Shi (ISCA, 2025)

Hardware-aware Calibration Protocol for Quantum Computers. - Yuchen Zhu; Jinglei Cheng; Boxi Li; Kecheng Liu; Yidong Zhou; Hanrui Wang 002; Yufei Ding 001; Zhiding Liang (ISCA, 2025)

Introduction to Quantum Machine Learning and Quantum Architecture Search. - Samuel Yen-Chi Chen; Zhiding Liang (ISCAS, 2025)

ECDQC: Efficient Compilation for Distributed Quantum Computing with Linear Layout. - Kecheng Liu; Yidong Zhou; Haochen Luo; Lingjun Xiong; Yuchen Zhu; Eilis Casey; Jinglei Cheng; Samuel Yen-Chi Chen; Zhiding Liang (ISCAS, 2025)

Peer-to-Peer Distribution of Graph States Across Spacetime Quantum Networks of Arbitrary Topology. - Yuexun Huang; Xiangyu Ren; Bikun Li; Yat Wong; Zhiding Liang; Liang Jiang (Proc. ACM Meas. Anal. Comput. Syst., 2025)

Quantum-Inspired Fidelity-based Divergence. - Yifeng Peng; Dantong Li; Xinyi Li; Zhiding Liang; Yongshan Ding 001; Ying Wang (CoRR, 2025)

QCS-ADME: Quantum Circuit Search for Drug Property Prediction with Imbalanced Data and Regression Adaptation. - Kangyu Zheng; Tianfan Fu; Zhiding Liang (CoRR, 2025)

A Scalable and Robust Compilation Framework for Emitter-Photonic Graph State. - Xiangyu Ren; Yuexun Huang; Zhiding Liang; Antonio Barbalace (CoRR, 2025)

HybridQ: Hybrid Classical-Quantum Generative Adversarial Network for Skin Disease Image Generation. - Qingyue Jiao; Kangyu Zheng; Yiyu Shi 001; Zhiding Liang (CoRR, 2025)

Optimal PMU Placement via Quantum Optimization. - Yuqi Jiang; Zhiding Liang; Yan Li 105; Thomas Morstyn (IEEE Trans. Smart Grid, 2025)