Yu Zhang

According to our database, Yu Zhang authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MixPE: Quantization and Hardware Co-design for Efficient LLM Inference.

Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu

CoRR, 2024

SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning.

Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu

CoRR, 2024

Towards Real-world Deployment of NILM Systems: Challenges and Practices.

Junyu Xue, Yu Zhang, Xudong Wang, Yi Wang, Guoming Tang

Proceedings of the IEEE International Conference on Sustainable Computing and Communications, 2024

Multi-Electrostatics Based Placement for Non-Integer Multiple-Height Cells.

Yu Zhang, Yuan Pu, Fangzhou Liu, Peiyu Liao, Kai-Yuan Chao, Keren Zhu, Yibo Lin, Bei Yu

Proceedings of the 2024 International Symposium on Physical Design, 2024

Fed2Com: Towards Efficient Compression in Federated Learning.

Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu

Proceedings of the International Conference on Computing, Networking and Communications, 2024

DiffSAT: Differential MaxSAT Layer for SAT Solving.

Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Lesyn: Placement-aware Logic Resynthesis for Non-Integer Multiple-Cell-Height Designs.

Yuan Pu, Fangzhou Liu, Yu Zhang, Zhuolun He, Yibo Lin, Kai-Yuan Chao, Bei Yu

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

FedNILM: Applying Federated Learning to NILM Applications at the Edge.

Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Kui Wu, Keping Yu, Xun Shao

IEEE Trans. Green Commun. Netw., June, 2023

LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition.

Yu Zhang, Yifan Chen, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, Bei Yu

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring.

Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu, Xudong Wang

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Investigating Low-Battery Anxiety of Mobile Users.

Yu Zhang, Guoming Tang, Qianyi Huang, Kui Wu, Yangjing Wu, Yi Wang

Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

EVSense: a robust and scalable approach to non-intrusive EV charging detection.

Xudong Wang, Guoming Tang, Yi Wang, Srinivasan Keshav, Yu Zhang

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

2021

FedNILM: Applying Federated Learning to NILM Applications at the Edge.

Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Xudong Wang, Jiadong Lou

CoRR, 2021

More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring.

Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu

CoRR, 2021