Multi-task Scheduling for PIM-based Heterogeneous Computing System. - Dawen Xu 002; Cheng Chu; Cheng Liu 008; Ying Wang 001; Xianzhong Zhou; Lei Zhang 008; Huaguo Liang; Huawei Li 001 (ACM Great Lakes Symposium on VLSI, 2020)

A Hybrid Computing Architecture for Fault-tolerant Deep Learning Accelerators. - Dawen Xu 002; Cheng Chu; Qianlong Wang; Cheng Liu 008; Ying Wang 001; Lei Zhang 008; Huaguo Liang; Kwang-Ting Cheng (ICCD, 2020)

RECOIN: A Low-Power Processing-in-ReRAM Architecture for Deformable Convolution. - Cheng Chu; Fan Chen 001; Dawen Xu 002; Ying Wang 001 (ACM Great Lakes Symposium on VLSI, 2021)

Energy-Efficient Accelerator Design for Deformable Convolution Networks. - Dawen Xu 002; Cheng Chu; Cheng Liu 008; Ying Wang 001; Huawei Li 001; Xiaowei Li 001; Kwang-Ting Cheng (CoRR, 2021)

MOCCA: A Process Variation Tolerant Systolic DNN Accelerator using CNFETs in Monolithic 3D. - Samuel J. Engers; Cheng Chu; Dawen Xu 002; Ying Wang 001; Fan Chen 001 (ACM Great Lakes Symposium on VLSI, 2022)

Canopy: A CNFET-based Process Variation Aware Systolic DNN Accelerator. - Cheng Chu; Dawen Xu 002; Ying Wang 001; Fan Chen 001 (ISLPED, 2022)

QMLP: An Error-Tolerant Nonlinear Quantum MLP Architecture using Parameterized Two-Qubit Gates. - Cheng Chu; Nai-Hui Chia; Lei Jiang 001; Fan Chen 001 (ISLPED, 2022)

HyCA: A Hybrid Computing Architecture for Fault-Tolerant Deep Learning. - Cheng Liu 008; Cheng Chu; Dawen Xu 002; Ying Wang 001; Qianlong Wang; Huawei Li 001; Xiaowei Li 001; Kwang-Ting Cheng (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

QTROJAN: A Circuit Backdoor Against Quantum Neural Networks. - Cheng Chu; Lei Jiang 001; Martin Swany; Fan Chen 001 (ICASSP, 2023)

IQGAN: Robust Quantum Generative Adversarial Network for Image Synthesis On NISQ Devices. - Cheng Chu; Grant Skipper; Martin Swany; Fan Chen 001 (ICASSP, 2023)

QDoor: Exploiting Approximate Synthesis for Backdoor Attacks in Quantum Neural Networks. - Cheng Chu; Fan Chen 001; Philip Richerme; Lei Jiang 001 (QCE, 2023)

CryptoQFL: Quantum Federated Learning on Encrypted Data. - Cheng Chu; Lei Jiang 001; Fan Chen 001 (QCE, 2023)

Accelerating Deformable Convolution Networks with Dynamic and Irregular Memory Accesses. - Cheng Chu; Cheng Liu 008; Dawen Xu 002; Ying Wang 001; Tao Luo 014; Huawei Li 001; Xiaowei Li 001 (ACM Trans. Design Autom. Electr. Syst., 2023)

TITAN: A Fast and Distributed Large-Scale Trapped-Ion NISQ Computer. - Cheng Chu; Zhenxiao Fu; Yilun Xu; Gang Huang; Hausi A. Müller; Fan Chen 001; Lei Jiang 001 (DAC, 2024)

QuantumLeak: Stealing Quantum Neural Networks from Cloud-based NISQ Machines. - Zhenxiao Fu; Min Yang; Cheng Chu; Yilun Xu; Gang Huang; Fan Chen 001 (IJCNN, 2024)

OFHE: An Electro-Optical Accelerator for Discretized TFHE. - Mengxin Zheng; Cheng Chu; Qian Lou; Nathan Youngblood; Mo Li; Sajjad Moazeni; Lei Jiang 001 (ISLPED, 2024)

Optimal harvest for predator-prey fishery models with variable price and marine protected area. - Cheng Chu; Wenjun Liu; Guangying Lv; Ali Moussaoui; Pierre Auger (Commun. Nonlinear Sci. Numer. Simul., 2024)

TITAN: A Distributed Large-Scale Trapped-Ion NISQ Computer. - Cheng Chu; Zhenxiao Fu; Yilun Xu; Gang Huang; Hausi A. Müller; Fan Chen 001; Lei Jiang 001 (CoRR, 2024)

OFHE: An Electro-Optical Accelerator for Discretized TFHE. - Mengxin Zheng; Cheng Chu; Qian Lou; Nathan Youngblood; Mo Li; Sajjad Moazeni; Lei Jiang (CoRR, 2024)

LSTM-QGAN: Scalable NISQ Generative Adversarial Network. - Cheng Chu; Aishwarya Hastak; Fan Chen 001 (ICASSP, 2025)

Bifurcation and stability analysis of cognitive populations in toxic environments. - Xinyu Bo; Cheng Chu; Wenjun Liu; Guangying Lv; Xuebing Zhang (Commun. Nonlinear Sci. Numer. Simul., 2025)

Selective KV-Cache Sharing to Mitigate Timing Side-Channels in LLM Inference. - Kexin Chu; Zecheng Lin; Dawei Xiang; Zixu Shen; Jianchang Su; Cheng Chu; Yiwei Yang; Wenhui Zhang; Wenfei Wu; Wei Zhang (CoRR, 2025)