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ORCIDJi He
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ji He 0001
![[0000-0001-9811-6500]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9811-6500")
— Guangzhou Medical University, Guangzhou, China - Ji He 0002 — Xidian University, Xian, Shaanxi, China
- Ji He 0003 — Beijing University of Chemical Technology, Beijing, China
- Ji He 0004 — Xi'an University of Technology, China
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2020 – today
- 2026
[j9]Quankeng Huang, Honghua Bai, Haozheng Pan, Wenchao Jiang, Bo Liu, Yajuan Zhang, Ji He, Long Li:
Early pneumoconiosis recognition from CT via progressive lesion awareness and multi-axis denoising attention mechanisms. Pattern Recognit. 172: 112712 (2026)- 2025
- [j8]Xujian Wang, Shuo Zhang, Shenghua Teng, Jiashu Guo, Xiaoxuan Liu, Ji He, Dongsheng Fan, Yan Liu:
Domain adversarial wavelet convolutional neural network used for ALS and CSM identification with NEMG signal. Biomed. Signal Process. Control. 101: 107173 (2025) - 2024
- [j7]Wenqing Wang, Ji He, Han Liu:
EMOST: A dual-branch hybrid network for medical image fusion via efficient model module and sparse transformer. Comput. Biol. Medicine 179: 108771 (2024) - [j6]Wenqing Wang, Ji He, Han Liu, Wei Yuan:
MDC-RHT: Multi-Modal Medical Image Fusion via Multi-Dimensional Dynamic Convolution and Residual Hybrid Transformer. Sensors 24(13): 4056 (2024) - [c33]Jiashu Guo, Deyuan Chen, Xiangzhu Zeng, Xiaoxuan Liu, Xujian Wang, Shenghua Teng, Kai Ye, Xingwen Sun, Shuo Zhang, Ji He, Dongsheng Fan, Yan Liu:
A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data. EMBC 2024: 1-4 - [c32]Qifeng Miao, Yizhi Cao, Ranran Sun, Ji He, Xiaochen Li, Huihui Wu:
On Mobile Covert Communication in Wireless Networks with a Full-Duplex Receiver. NaNA 2024: 215-221 - [c31]Yizhi Cao, Zewei Guo, Qifeng Miao, Ranran Sun, Ji He, Xiaochen Li:
Minimization of Age of Information for Satellite-Terrestrial Covert Communication with a Full-Duplex Receiver. NaNA 2024: 242-246 - [c30]Wenhao Zhang, Ji He, Xiaohong Jiang:
Transmit Power and Flying Location Optimization for Time-Efficient Covert Multicast in UAV-Enabled Wireless Communication Systems. NaNA 2024: 459-464 - [i8]Wenhao Zhang, Ji He, Yuanyu Zhang:
Covert Multicast in UAV-Enabled Wireless Communication Systems With One-hop and Two-hop Strategies. CoRR abs/2410.12287 (2024) - [i7]Haoyue Wang, Sheng Li, Ji He, Zhenxing Qian, Xinpeng Zhang, Shaolin Fan:
Exploring Depth Information for Detecting Manipulated Face Videos. CoRR abs/2411.18572 (2024) - [i6]Yingchu Wang, Ji He, Shijie Yu:
Crack-EdgeSAM Self-Prompting Crack Segmentation System for Edge Devices. CoRR abs/2412.07205 (2024) - 2023
- [j5]Haoyu Zhang, Yan Liu, Zhongfei Qing, Ji He, Shenghua Teng, Xujian Wang, Chenxu Hao, Shuo Zhang, Dongsheng Fan, Guiping Su:
Domain Contrast Network for cross-muscle ALS disease identification with EMG signal. Biomed. Signal Process. Control. 82: 104582 (2023) - [c29]Wenhai Lu, Jieren Cheng, Xiulai Li, Ji He:
A Review of Solving Non-IID Data in Federated Learning: Current Status and Future Directions. IAIC (1) 2023: 58-72 - [c28]Haojun Liu, Xiangyan Tang, Taixing Xu, Ji He:
A Survey of Homogeneous and Heterogeneous Multi-source Information Fusion Based on Rough Set Theory. IAIC (1) 2023: 235-246 - [c27]Ji He, Xiaodan Zhang, Baoquan Ren, Hongjun Li, Tianzhu Hu, Xiangwu Gong, Xudong Zhong:
ML-Based Detection Approaches for Covert Communication with Multi-D Signal Features. NaNA 2023: 465-470 - 2022
- [c26]Xujian Wang, Shenghua Teng, Chenxu Hao, Yan Liu, Ji He, Shuo Zhang, Dongsheng Fan:
Selective ensemble learning for cross-muscle ALS disease identification with EMG signal. BIBM 2022: 3187-3192 - 2021
- [c25]Zhongfei Qing, Yan Liu, Ji He, Chenxu Hao, Shenghua Teng, Shuo Zhang, Dongsheng Fan:
Wavelet-based Multi-branch Convolutional Neural Network for Cross-individual ALS Disease Identification with EMG Signal. BIBM 2021: 1481-1484 - [c24]Chenxu Hao, Yali Qu, Xujian Wang, Shenghua Teng, Yan Liu, Ji He, Dongsheng Fan, Shuo Zhang:
Omics feature learning for cross individual ALS disease identification with EMG signal. BIBM 2021: 2700-2705 - 2020
- [c23]Long Guo, Lu Liang, Shi Zeng, Ji He, Gaoshang Dai:
Gray Scale Image Coloring Method Based on GAN. DSIT 2020: 71-75
2010 – 2019
- 2017
- [c22]Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng:
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS 2017: 4977-4986 - [i5]Ji He, Mari Ostendorf, Xiaodong He:
Reinforcement Learning with External Knowledge and Two-Stage Q-functions for Predicting Popular Reddit Threads. CoRR abs/1704.06217 (2017) - 2016
- [c21]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) 2016 - [c20]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP 2016: 1838-1848 - [c19]Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng:
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP 2016: 2429-2433 - [i4]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR abs/1606.03667 (2016) - 2015
- [c18]Long Zhao, Ji He, Yuhua Cheng:
A 6bit 4GS/s current-steering digital-to-analog converter in 40nm CMOS with adjustable bias and DfT block. ASICON 2015: 1-4 - [c17]Alex Marin, Mari Ostendorf, Ji He:
Learning phrase patterns for ASR name error detection using semantic similarity. INTERSPEECH 2015: 1423-1427 - [c16]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [i3]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - [i2]Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He:
Recurrent Reinforcement Learning: A Hybrid Approach. CoRR abs/1509.03044 (2015) - [i1]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with an Unbounded Action Space. CoRR abs/1511.04636 (2015) - 2014
- [c15]Ji He, Alex Marin, Mari Ostendorf:
Effective data-driven feature learning for detecting name errors in automatic speech recognition. SLT 2014: 230-235 - 2012
- [c14]Ji He, Yao Qian, Frank K. Soong, Sheng Zhao:
Turning a Monolingual Speaker into Multilingual for a Mixed-language TTS. INTERSPEECH 2012: 963-966 - 2011
- [c13]Mingyi Wang, Yinbeing Ge, Ji He:
Medicago truncatula gene regulatory network prediction server. BIBM Workshops 2011: 912-914 - 2010
- [c12]Ji He:
Improving Sequence Alignment Based Gene Functional Annotation with Natural Language Processing and Associative Clustering. ISNN (2) 2010: 312-321
2000 – 2009
- 2009
- [j4]Ji He, Vagner A. Benedito, Mingyi Wang, Jeremy D. Murray, Patrick Xuechun Zhao, Yuhong Tang, Michael K. Udvardi:
The Medicago truncatula gene expression atlas web server. BMC Bioinform. 10: 441 (2009) - 2008
- [c11]Ji He:
Improving feature representation of natural language gene functional annotations using automatic term expansion. CIBCB 2008: 173-179 - 2007
- [j3]Ji He, Xinbin Dai, Xuechun Zhao:
PLAN: a web platform for automating high-throughput BLAST searches and for managing and mining results. BMC Bioinform. 8 (2007) - [c10]Ji He, Xinbin Dai, Xuechun Zhao:
Associative Artificial Neural Network for Discovery of Highly Correlated Gene Groups Based on Gene Ontology and Gene Expression. CIBCB 2007: 17-24 - 2006
- [c9]Ji He, Xinbin Dai, Xuechun Zhao:
A Systematic Computational Approach for Transcription Factor Target Gene Prediction. CIBCB 2006: 1-7 - 2004
- [j2]Ji He, Ah-Hwee Tan, Chew Lim Tan:
Modified ART 2A growing network capable of generating a fixed number of nodes. IEEE Trans. Neural Networks 15(3): 728-737 (2004) - [c8]Ji He, Man Lan, Chew Lim Tan, Sam Yuan Sung, Hwee-Boon Low:
Initialization of cluster refinement algorithms: a review and comparative study. IJCNN 2004 - 2003
- [j1]Ji He, Ah-Hwee Tan, Chew Lim Tan:
On Machine Learning Methods for Chinese Document Categorization. Appl. Intell. 18(3): 311-322 (2003) - [c7]Ji He, Ah-Hwee Tan, Chew Lim Tan:
Self-organizing neural networks for efficient clustering of gene expression data. IJCNN 2003: 1684-1689 - [p1]Ji He, Ah-Hwee Tan, Chew Lim Tan, Sam Yuan Sung:
On Quantitative Evaluation of Clustering Systems. Clustering and Information Retrieval 2003: 105-134 - 2001
- [c6]Kenneth J. Turner, Ji He:
Formally-Based Design Evaluation. CHARME 2001: 104-109 - [c5]Ji He, Kenneth J. Turner:
Specifying Hardware Timing with ET-L OTOS. CHARME 2001: 161-166 - 2000
- [b1]Ji He:
Formal specification and analysis of digital hardware circuits in LOTOS. University of Stirling, UK, 2000 - [c4]Ji He, Kenneth J. Turner:
Verifying and Testing Asynchronous Circuits using LOTOS. FORTE 2000: 267-283 - [c3]Ji He, Ah-Hwee Tan, Chew Lim Tan:
A Comparative Study on Chinese Text Categorization Methods. PRICAI Workshop on Text and Web Mining 2000: 24-35
1990 – 1999
- 1999
- [c2]Ji He, Kenneth J. Turner:
Specification and Verification of Synchronous Hardware using LOTOS. FORTE 1999: 295-312 - [c1]Ji He, Kenneth J. Turner:
Protocol-Inspired Hardware Testing. IWTCS 1999: 131-148
Coauthor Index
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