| index | Title |
| 46 | Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence Author(s):Jian GUO, Saizhuo WANG, Lionel M. NI, Heung-Yeung SHUM Clicked:6202 Download:1701 Cited:0 <Full Text> <PPT> 2019 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.11 P.1421-1445 DOI:10.1631/FITEE.2300720 |
| 47 | Q-space-coordinate-guided neural networks for high-fidelity diffusion tensor estimation from minimal diffusion-weighted images Author(s):Maokun ZHENG, Zhi LI, Long ZHENG, Weidong WANG, Dandan LI, Guomei WANG Clicked:2134 Download:3299 Cited:0 <Full Text> <PPT> 733 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.8 P.1305-1323 DOI:10.1631/FITEE.2400766 |
| 48 | Towards the first principles of explaining DNNs: interactions explain the learning dynamics Author(s):Huilin ZHOU, Qihan REN, Junpeng ZHANG, Quanshi ZHANG Clicked:1360 Download:2965 Cited:0 <Full Text> <PPT> 627 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.7 P.1017-1026 DOI:10.1631/FITEE.2401025 |
| 49 | Machine learning for soil parameter inversion enhanced with Bayesian optimization Author(s):Anfeng HU, Chi WANG, Senlin XIE, Zhirong XIAO, Tang LI, Ang XU Clicked:2474 Download:2410 Cited:0 <Full Text> Journal of Zhejiang University Science A 2025 Vol.26 No.11 P.1034-1051 DOI:10.1631/jzus.A2400568 |
| 50 | Port and radiation pattern decoupled metasurface-loaded patch antenna using deep-learning-assisted optimization for MIMO applications Author(s):Gu LIU, Jiajiang SHEN, Lei MA, Wei QIN, Wenwen YANG, Lei GUO, Jianxin CHEN Clicked:1581 Download:1154 Cited:0 <Full Text> <PPT> 466 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.10 P.2030-2040 DOI:10.1631/FITEE.2500119 |
| 51 | Improved lightweight convolutional neural network models for the detection and evaluation of Fusarium head blight in wheat Author(s):Wang ZHANG1,2, Yi REN1,2, Zidi GUO1,2, Han LI1,2, Man ZHANG1,2, Jie LIU3, Ruicheng QIU1,2 Clicked:1894 Download:888 Cited:0 <Full Text> Journal of Zhejiang University Science B In Press DOI: |
| 52 | 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:645 Download:364 Cited:0 <Full Text> <PPT> 436 Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.11 P.2159-2175 DOI:10.1631/FITEE.2500419 |
| 53 | Jiu fusion artificial intelligence (JFA): a two-stage reinforcement learning model with hierarchical neural networks and human knowledge for Tibetan Jiu chess Author(s):Xiali LI, Xiaoyu FAN, Junzhi YU, Zhicheng DONG, Xianmu CAIRANG, Ping LAN Clicked:1264 Download:753 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.10 P.1969-1983 DOI:10.1631/FITEE.2500287 |
| 54 | Time control entry guidance method for hypersonic glide vehicles based on deep reinforcement learning Author(s):Zhenyu LIU, Gang LEI, Yong XIAN, Leliang REN, Shaopeng LI, Daqiao ZHANG Clicked:942 Download:1695 Cited:0 <Full Text> <PPT> 97 Journal of Zhejiang University Science A 2026 Vol.27 No.4 P.365-383 DOI:10.1631/jzus.A2500144 |
| 55 | SPID: a deep reinforcement learning-based solution framework for siting low-altitude takeoff and landing facilities# Author(s):Xiaocheng LIU, Meilong LE, Yupu LIU, Minghua HU Clicked:1041 Download:724 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2025 Vol.26 No.12 P.2397-2420 DOI:10.1631/FITEE.2500534 |
| 56 | 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:748 Download:362 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI: |
| 57 | An attention mechanism-based multi-domain feature fusion approach for active sonar target recognition Author(s):Tongjing SUN, Haoran XU, Shishuo REN, Denghui ZHANG Clicked:595 Download:364 Cited:0 <Full Text> <PPT> 244 Journal of Zhejiang University Science 2026 Vol.27 No.2 P.1-12 DOI:10.1631/ENG.ITEE.2025.0177 |
| 58 | Physics-informed deep learning for data-efficient and robust PV power forecasting Author(s):Chang HUANG1, Xuanbin HUANG1, Jinmin GUO2, Zhuo CAO1, Ting HE1,Wentao SHANG1 Clicked:477 Download:420 Cited:0 <Full Text> Journal of Zhejiang University Science A In Press DOI: |
