近期期刊文章
面向绿色 6G 的通信与计算能耗折中机理研究
丁一，张秦铭，Nasya Khosasi，张四海，朱近康，刘俊宇，李建东，中国科学:信息科学, 2026.
SEM Image Denoising using Noise-Step Correlation based Reverse Difusion Process
Ruipeng Xu, Keye Wang, Kai Zhang, Yifei Wang, Sihai Zhang, IEEE Transactions on Semiconductor Manufacturing, DOI: 10.1109/TSM.2026.3740902, 2026.
Toward Green 6G: Communication Versus Computation Energy Trade-Offs
Nasya Khosasi, Yi Ding, Qinming Zhang, Sihai Zhang, Jinkang Zhu, IEEE Transactions on Green Communications and Networking, DOI: 10.1109/TGCN.2026.3713105, 2026.
Robust Time Series Explanations via Information-Theoretic Temporal Structural Priors
Yueshan Chen, Xinkai Kuang, Sihai Zhang, Pattern Recognition Letters, DOI: 10.1016/j.patrec.2026.04.017, 2026.
A Model-Data Dual-Driven Resource Allocation Scheme for IREE Oriented 6G Networks
Tao Yu, Simin Wang, Shunqing Zhang, Xiaojing Chen, Zi Xu, Xin Wang, Jiandong Li, Junyu Liu, Sihai Zhang, IEEE Internet of Things Journal, DOI: 10.1109/JIOT.2025.3577760, 2025.
Physics-Informed Machine Learning based Edge Detection for SEM Images
Yi Fang, Chu Wang, Sihai Zhang, IEEE Transactions on Semiconductor Manufacturing, DOI: 10.1109/TSM.2025.3576269, 2025.
WAE: An evaluation metric for attribution-based XAI on time series forecasting
Yueshan Chen, Sihai Zhang, Neurocomputing, DOI: 10.1016/j.neucom.2025.129379, 2025.
Why Contour Averaging Works for SEM Metrology: Analysis and Validation
Jingxian Wei, Chenyu Xu, Sihai Zhang, IEEE Transactions on Semiconductor Manufacturing, DOI: 10.1109/TSM.2024.3471635, 2024.
移动通信使能其他行业碳减排的定量评估:指标、 方法和案例
张四海，崔婵，孙宏宇，曾勇梅，朱江，朱近康，中国科学:信息科学，2024, 54(4): 777–787. DOI: 10.1360/SSI-2023-0295.
Optimal Two-Timescale Configuration of Mobile Edge Computing with Mixed Energy Supply
Xiaojing Chen, Si Chen, Wei Ni, Xin Wang, Sihai Zhang, Shunqing Zhang, Yanzan Sun, Shugong Xu, Abbas Jamalipour, IEEE Transactions on Smart Grid, DOI: 10.1109/TSG.2024.3390772, 2024.
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market
Yueshan Chen, Xingyu Xu, Tian Lan, Sihai Zhang, Big Data Research, 2024, 35: 100414.
DGL: Device Generic Latency Model for Neural Architecture Search on Mobile Devices
Qinsi Wang, Sihai Zhang, IEEE Transactions on Mobile Computing, 2023, 23(2): 1954-1967.
FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training
Zhikun Chen, Daofeng Li, Rui Ni, Jinkang Zhu, Sihai Zhang, IEEE Systems Journal, 2023, 17(3): 4038-4049.
无线知识驱动的大规模MIMO信道估计
张四海，林嘉树，徐亚梅，赵明，朱近康，中国科学:信息科学, 2023, 53(4), 758.
近期会议文章
Graph-Pruning-Assisted Reinforcement Learning forEnergy-Efffcient Resource Management inDistributed MEC Systems
Yi Ding, Nasya Khosasi, Qinming Zhang, Yuchi Xie, Sihai Zhang, 2026 International Conference on Future Communications and Networks (FCN)
From DRAM Architecture to Protocol State: A Resource-Grounded Executable Semantics for LPDDR5
Jie Tang, Yanfeng Li, Wang Zhan, Dandan Shi, Qin Chen, Hao Wang, Sihai Zhang, the 32nd Asia and South Pacific Design Automation Conference (ASP‑DAC 2027), Tokyo, Japan, 2027.
The Geometry of Fragility: Benchmarking Robustness of Time Series Explanations via Curvature Maximization
Yueshan Chen, Sihai Zhang, 2026 International Joint Conference on Neural Networks, Maastricht, Netherlands, 2026.
Divide and Conquer Strategy on Monocular Depth Estimation of Semiconductor SEM Images.
Hao Sun, Peijin Cai, Sihai Zhang.2026 International Joint Conference on Neural Networks, Maastricht, Netherlands, 2026.
Parsimony, Order and Balance: Principles for Compressing Mixture-of-Experts Models
Shuangyou Feng, Chenyu Xu, Yi Ding, Zhi Liang, Sihai Zhang, 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, 2026.
Energy Efficient Resource Allocation for Multi-UAV Assisted IoT Communication with Uplink RSMA
Kan Cao, Lizhou Liu, Zhen Wang, Sihai Zhang, Ling Qiu, 2025 International Conference on Future Communications and Networks (FCN), Belgrade, Serbia, 2025.
Knowledge-enhanced N2N: Learning SEM Images Denoising with No Clean Data
Yi Fang, Chun Wang, Tian Lan and Sihai Zhang, 2025 International Joint Conference on Neural Networks, Rome, Italy, 2025.
LoS Identifcation Based Transmit Power Minimization in Cell-free ISAC System
Jingwen Wu, Chao Hu, Sihai Zhang , Ling Qiu, 2025 IEEE 101st Vehicular Technology Conference (VTC2025-Spring), Oslo, Norway, 2025.
Two-timescale Transmit Power Minimization in Semi-Passive IRS-Aided ISAC Systems
Jingwen Wu, Qilue Huang, Sihai Zhang and Ling Qiu, 2024 the 10th International Conference on Computer and Communications (ICCC), Chengdu, China, 2024.
A User-driven Sleep and wake-up Technology for Energy-Efficient 5G-Advanced Base Stations
Xiangzhi Guo, Xiaohui Chen, Weidong Wang, Sihai Zhang, 2024 16th International Conference on Wireless Communications and Signal Processing, Hefei, China, 2024.
Performance Analysis of Machine Learning on Homomorphically Encrypted Data
Morogo Freshina Mahatho, Yueshan Chen, Sihai Zhang, 2024 16th International Conference on Wireless Communications and Signal Processing, Hefei, China, 2024.
Multi-Point Channel Charting Aided Resource Management in Cell-Free Networks
Yuanqing Ye, Chenyu Xu, Zhen Wang, Lie Shan, Sihai Zhang, International Conference on Future Communications and Networks, Valletta, Malta, November, 2024.
Feature Fusion based Hotspot Detection with R-EfficientNet
Chun Wang, Yi Fang, and Sihai Zhang, InProceedings of Great Lakes Symposiumon VLSI (GLSVLSI ’24).
MathNAS: If Blocks Have a Role in Mathematical Architecture Design
Qinsi Wang, Jinghan Ke, Zhi Liang and Sihai Zhang, NeurIPS, 2023.
Energy Consumption Constrained Resource Cell Optimization Based on Multipoint Channel Charting
Yuanqing Ye, Zhikun Chen, Ming Zhao, and Sihai Zhang, 2023 15th International Conference on Wireless Communications and Signal Processing, Hangzhou, China,2023.
Data Collaborative Federated Learning for Non-I.i.d Data in Wireless Networks
Jiaqi Pan, Zhikun Chen, Sihai Zhang, and Ming Zhao, International Conference on Future Communications and Networks, Queenstown, New Zealand, December, 2023.
Adaptive User Selection and Bandwidth Allocation for Fast Convergence of Federated Learning in Wireless Networks
Jiaqi Pan, Zhikun Chen, Ming Zhao, Sihai Zhang, and Jinkang Zhu, International Conference on Future Communications and Networks, Queenstown, New Zealand, December, 2023.