| index | Title |
| 31 | Fairness-guided federated training for generalization and personalization in cross-silo federated learning Author(s):Ruipeng ZHANG, Ziqing FAN, Jiangchao YAO, Ya ZHANG, Yanfeng WANG Clicked:4094 Download:7106 Cited:0 <Full Text> <PPT> 1025 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.1 P.42-61 DOI:10.1631/FITEE.2400279 |
| 32 | SRIS-Net: a robust image steganography algorithm based on feature score maps Author(s):Ai XIAO, Zhi LI, Guomei WANG, Long ZHENG, Haoyuan SUN Clicked:3545 Download:5912 Cited:0 <Full Text> <PPT> 929 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.6 P.930-945 DOI:10.1631/FITEE.2400069 |
| 33 | Neural mesh refinement Author(s):Zhiwei ZHU, Xiang GAO, Lu YU, Yiyi LIAO Clicked:3020 Download:5075 Cited:0 <Full Text> <PPT> 1001 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.5 P.695-712 DOI:10.1631/FITEE.2400344 |
| 34 | Prototype-guided cross-task knowledge distillation Author(s):Deng LI, Peng LI, Aming WU, Yahong HAN Clicked:2221 Download:5803 Cited:0 <Full Text> <PPT> 820 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.6 P.912-929 DOI:10.1631/FITEE.2400383 |
| 35 | A power optimization approach for mixed polarity Reed–Muller logic circuits based on multi-strategy fusion memetic algorithm Author(s):Mengyu ZHANG, Zhenxue HE, Yijin WANG, Xiaojun ZHAO, Xiaodan ZHANG, Limin XIAO, Xiang WANG Clicked:2045 Download:4760 Cited:0 <Full Text> <PPT> 935 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.3 P.415-426 DOI:10.1631/FITEE.2400513 |
| 36 | FedMcon: an adaptive aggregation method for federated learning via meta controller Author(s):Tao SHEN, Zexi LI, Ziyu ZHAO, Didi ZHU, Zheqi LV, Kun KUANG, Shengyu ZHANG, Chao WU, Fei WU Clicked:3135 Download:3852 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.8 P.1378-1393 DOI:10.1631/FITEE.2400530 |
| 37 | Federated model with contrastive learning and adaptive control variates for human activity recognition Author(s):Ignatius IWAN, Bernardo Nugroho YAHYA, Seok-Lyong LEE Clicked:1582 Download:2003 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.6 P.896-911 DOI:10.1631/FITEE.2400797 |
| 38 | Prototypical clustered federated learning for heart rate prediction Author(s):Yongjie YIN, Hui RUAN, Yang CHEN, Jiong CHEN, Ziyue LI, Xiang SU, Yipeng ZHOU, Qingyuan GONG Clicked:1509 Download:2187 Cited:0 <Full Text> <PPT> 287 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.10 P.1896-1912 DOI:10.1631/FITEE.2500062 |
| 39 | HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows Author(s):Yunfei LIU, Xinhai CHEN, Gen ZHANG, Qingyang ZHANG, Qinglin WANG, Jie LIU Clicked:648 Download:368 Cited:0 <Full Text> <PPT> 439 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.11 P.2159-2175 DOI:10.1631/FITEE.2500419 |
| 40 | PL-HLANet: a semi-supervised approach for tunnel boring machine disc cutter wear prediction Author(s):Zhaoyang LI, Wei TANG, Xinyuan WANG, Huxiu XU, Huayong YANG, Jun ZOU Clicked:3029 Download:2352 Cited:0 <Full Text> <PPT> 135 Journal of Zhejiang University Science A 2026 Vol.27 No.4 P.317-333 DOI:10.1631/jzus.A2500300 |
| 41 | E2MN: human-inspired end-to-end mapless navigation with oscillation suppression and short-term memory Author(s):Yinan YANG, Zhiye WANG, Xuan KONG, Peng ZHI, Dapeng ZHANG, Rui ZHOU, Qingguo ZHOU Clicked:636 Download:287 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.11 P.2254-2281 DOI:10.1631/FITEE.2500348 |
| 42 | Hierarchical learning method for array flow field prediction integrated with deep neural network Author(s):Shanxun SUN1, Zijiang XU1, Zhuoheng WANG1, Shuangshuang CUI2, Ting HE1, Yang CAI1 Clicked:755 Download:364 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI: |
| 43 | Integrative graph deep learning with directional decoding for robust gene regulatory network inference from single-cell transcriptomics Author(s):Binhua TANG1,2, Yingying FENG1, Xinyu GAO1, Mengyao MAO1, and Yujia ZHANG1 Clicked:682 Download:400 Cited:0 <Full Text> Journal of Zhejiang University Science B In Press DOI: |
