Intermittent Inference with Nonuniformly Compressed Multi-Exit Neural Network for Energy Harvesting Powered Devices. - Yawen Wu; Zhepeng Wang 001; Zhenge Jia; Yiyu Shi 001; Jingtong Hu (DAC, 2020)

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical loT Systems. - Zhenge Jia; Zhepeng Wang 001; Feng Hong; Lichuan Ping; Yiyu Shi 001; Jingtong Hu (ICCAD, 2020)

Personalized Deep Learning for Ventricular Arrhythmias Detection on Medical IoT Systems. - Zhenge Jia; Zhepeng Wang 001; Feng Hong; Lichuan Ping; Yiyu Shi 001; Jingtong Hu (CoRR, 2020)

Enabling On-Device CNN Training by Self-Supervised Instance Filtering and Error Map Pruning. - Yawen Wu; Zhepeng Wang 001; Yiyu Shi 001; Jingtong Hu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Lightweight Run-Time Working Memory Compression for Deployment of Deep Neural Networks on Resource-Constrained MCUs. - Zhepeng Wang 001; Yawen Wu; Zhenge Jia; Yiyu Shi 001; Jingtong Hu (ASP-DAC, 2021)

Enabling On-Device Self-Supervised Contrastive Learning with Selective Data Contrast. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Yiyu Shi 001; Jingtong Hu (DAC, 2021)

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)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (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)

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper). - Yawen Wu; Dewen Zeng; Zhepeng Wang 001; Yi Sheng; Lei Yang 018; Alaina J. James; Yiyu Shi 001; Jingtong Hu (ICCAD, 2021)

Learning to Learn Personalized Neural Network for Ventricular Arrhythmias Detection on Intracardiac EGMs. - Zhenge Jia; Zhepeng Wang 001; Feng Hong; Lichuan Ping; Yiyu Shi 001; Jingtong Hu (IJCAI, 2021)

Federated Contrastive Learning for Volumetric Medical Image Segmentation. - Yawen Wu; Dewen Zeng; Zhepeng Wang 001; Yiyu Shi 001; Jingtong Hu (MICCAI (3), 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)

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. - Hongwu Peng; Shiyang Chen 004; Zhepeng Wang 001; Junhuan Yang; Scott A. Weitze; Tong Geng; Ang Li 006; Jinbo Bi; Minghu Song; Weiwen Jiang; Hang Liu 001; Caiwen Ding (CoRR, 2021)

Distributed Unsupervised Visual Representation Learning with Fused Features. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Meng Li 004; Yiyu Shi 001; Jingtong Hu (CoRR, 2021)

Quantum Neural Network Compression. - Zhirui Hu; Peiyan Dong; Zhepeng Wang 001; Youzuo Lin; Yanzhi Wang; Weiwen Jiang (ICCAD, 2022)

Decentralized Unsupervised Learning of Visual Representations. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Meng Li 004; Yiyu Shi 001; Jingtong Hu (IJCAI, 2022)

Learn by Challenging Yourself: Contrastive Visual Representation Learning with Hard Sample Generation. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Yiyu Shi 001; Jingtong Hu (CoRR, 2022)

Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning. - Yawen Wu; Dewen Zeng; Zhepeng Wang 001; Yi Sheng; Lei Yang 018; Alaina J. James; Yiyu Shi 001; Jingtong Hu (CoRR, 2022)

Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis. - Yawen Wu; Dewen Zeng; Zhepeng Wang 001; Yi Sheng; Lei Yang 018; Alaina J. James; Yiyu Shi 001; Jingtong Hu (CoRR, 2022)

Distributed contrastive learning for medical image segmentation. - Yawen Wu; Dewen Zeng; Zhepeng Wang 001; Yiyu Shi 001; Jingtong Hu (Medical Image Anal., 2022)

Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning. - Yawen Wu; Zhepeng Wang 001; Dewen Zeng; Yiyu Shi 001; Jingtong Hu (AAAI, 2023)

A Novel Spatial-Temporal Variational Quantum Circuit to Enable Deep Learning on NISQ Devices. - Jinyang Li 001; Zhepeng Wang 001; Zhirui Hu; Prasanna Date; Ang Li 006; Weiwen Jiang (QCE, 2023)

Towards Redefining the Reproducibility in Quantum Computing: A Data Analysis Approach on NISQ Devices. - Priyabrata Senapati; Zhepeng Wang 001; Weiwen Jiang; Travis S. Humble; Bo Fang 002; Shuai Xu; Qiang Guan (QCE, 2023)

QuMoS: A Framework for Preserving Security of Quantum Machine Learning Model. - Zhepeng Wang 001; Jinyang Li 001; Zhirui Hu; Blake Gage; Elizabeth Iwasawa; Weiwen Jiang (QCE, 2023)

VENUS: A Geometrical Representation for Quantum State Visualization. - Shaolun Ruan; Ribo Yuan; Yong Wang 021; Yanna Lin; Ying Mao 001; Weiwen Jiang; Zhepeng Wang 001; Wei Xu 020; Qiang Guan (CoRR, 2023)

Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices. - Zhepeng Wang 001; Isaacshubhanand Putla; Weiwen Jiang; Youzuo Lin (CoRR, 2023)

VENUS: A Geometrical Representation for Quantum State Visualization. - Shaolun Ruan; Ribo Yuan; Qiang Guan; Yanna Lin; Ying Mao 001; Weiwen Jiang; Zhepeng Wang 001; Wei Xu 020; Yong Wang 021 (Comput. Graph. Forum, 2023)

Unlocking Memorization in Large Language Models with Dynamic Soft Prompting. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Jackson Taylor; Cao Xiao; Feng Zheng; Weiwen Jiang; Shangqian Gao; Yanfu Zhang (EMNLP, 2024)

PristiQ: A Co-Design Framework for Preserving Data Security of Quantum Learning in the Cloud. - Zhepeng Wang 001; Yi Sheng; Nirajan Koirala; Kanad Basu; Taeho Jung; Cheng-Chang Lu; Weiwen Jiang (ISVLSI, 2024)

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (MICCAI (2), 2024)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (CoRR, 2024)

All-in-One Tuning and Structural Pruning for Domain-Specific LLMs. - Lei Lu; Zhepeng Wang 001; Runxue Bao; Mengbing Wang; Fangyi Li; Yawen Wu; Weiwen Jiang; Jie Xu; Yanzhi Wang; Shangqian Gao (CoRR, 2024)