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Journal Articles
- 2024
[j12]Xingjian Chen
, Jiecong Lin, Yuchen Wang, Weitong Zhang, Weidun Xie, Zetian Zheng, Ka-Chun Wong:
HE2Gene: image-to-RNA translation via multi-task learning for spatial transcriptomics data. Bioinform. 40(6) (2024)- [j11]Zhe Liu, Hiu-Man Wong, Xingjian Chen, Jiecong Lin, Shixiong Zhang, Shankai Yan, Fuzhou Wang, Xiangtao Li, Ka-Chun Wong:
MotifHub: Detection of trans-acting DNA motif group with probabilistic modeling algorithm. Comput. Biol. Medicine 168: 107753 (2024) - [j10]Weidun Xie, Jixiang Yu, Lei Huang, Lek Shyuen For, Zetian Zheng, Xingjian Chen, Yuchen Wang, Zhichao Liu, Chengbin Peng, Ka-Chun Wong:
DeepSeq2Drug: An expandable ensemble end-to-end anti-viral drug repurposing benchmark framework by multi-modal embeddings and transfer learning. Comput. Biol. Medicine 175: 108487 (2024) - [j9]Enkai Wang, Xingjian Chen, Yuge Li, Zhongzheng Fu, Jian Huang:
Lower Limb Motion Intent Recognition Based on Sensor Fusion and Fuzzy Multitask Learning. IEEE Trans. Fuzzy Syst. 32(5): 2903-2914 (2024) - [j8]Jun Huo, Hongge Ru, Bo Yang, Xingjian Chen, Xi Li, Jian Huang:
Air-Chamber-Based Soft Six-Axis Force/Torque Sensor for Human-Robot Interaction. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j7]Gaofei Jiang, Jiaxuan Zhang, Yaozhong Zhang, Xinrun Yang, Tingting Li, Ningqi Wang, Xingjian Chen, Fang-Jie Zhao, Zhong Wei, Yangchun Xu, Qirong Shen, Wei Xue:
DCiPatho: deep cross-fusion networks for genome scale identification of pathogens. Briefings Bioinform. 24(4) (2023) - 2022
- [j6]Jiecong Lin, Lei Huang, Xingjian Chen, Shixiong Zhang, Ka-Chun Wong:
DeepMotifSyn: a deep learning approach to synthesize heterodimeric DNA motifs. Briefings Bioinform. 23(1) (2022) - [j5]Lei Huang, Jiecong Lin, Rui Liu, Zetian Zheng, Lingkuan Meng, Xingjian Chen, Xiangtao Li, Ka-Chun Wong:
CoaDTI: multi-modal co-attention based framework for drug-target interaction annotation. Briefings Bioinform. 23(6) (2022) - [j4]Zetian Zheng, Weidun Xie, Xingjian Chen, Fuzhou Wang, Lei Huang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong:
Subclass-Specific Prognosis and Treatment Efficacy Inference in Head and Neck Squamous Carcinoma. IEEE J. Biomed. Health Informatics 26(8): 4303-4313 (2022) - [j3]Junyang Shi, Xingjian Chen, Mo Sha:
Enabling Cross-technology Communication from LoRa to ZigBee in the 2.4 GHz Band. ACM Trans. Sens. Networks 18(2): 21:1-21:23 (2022) - 2021
- [j2]Xingjian Chen, Lingjing Liu, Weitong Zhang, Jianyi Yang, Ka-Chun Wong:
Human host status inference from temporal microbiome changes via recurrent neural networks. Briefings Bioinform. 22(6) (2021) - [j1]Linjing Liu, Xingjian Chen, Ka-Chun Wong:
Early cancer detection from genome-wide cell-free DNA fragmentation via shuffled frog leaping algorithm and support vector machine. Bioinform. 37(19): 3099-3105 (2021)
Conference and Workshop Papers
- 2023
- [c8]Xingjian Chen, Paul Siqueira, Kyle McDonald, Michael H. Cosh, Andreas Colliander, Mark Vanscoy:
L-Band Radar for Forest Temporal Dynamics. IGARSS 2023: 2637-2640 - [c7]Di Mu, Yitian Chen, Xingjian Chen, Junyang Shi, Mo Sha:
Enabling Direct Message Dissemination in Industrial Wireless Networks via Cross-Technology Communication. INFOCOM 2023: 1-10 - [c6]Huafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du:
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering. SDM 2023: 658-666 - 2021
- [c5]Hiu-Man Wong, Xingjian Chen, Hiu-Hin Tam, Jiecong Lin, Shixiong Zhang, Shankai Yan, Xiangtao Li, Ka-Chun Wong:
Feature Selection and Feature Extraction: Highlights. ISMSI 2021: 49-53 - 2019
- [c4]Junyang Shi, Xingjian Chen, Mo Sha:
Enabling Direct Messaging from LoRa to ZigBee in the 2.4 GHz Band for Industrial Wireless Networks. ICII 2019: 180-189 - [c3]Xingjian Chen, Jianbo Su, Jun Zhang:
A Two-Teacher Framework for Knowledge Distillation. ISNN (1) 2019: 58-66 - 2017
- [c2]Xingjian Chen, Paul Siqueira:
A ground-based L-band synthetic aperture radar system for forest temporal dynamics monitoring. IGARSS 2017: 3429-3432 - 2016
- [c1]Paul Siqueira, Xingjian Chen:
An above canopy radar monitoring system at the Harvard Forest. IGARSS 2016: 1738-1740
Informal and Other Publications
- 2021
- [i1]Huafeng Yang, Xingjian Chen, Fangyi Zhang, Guangyue Hei, Yunjie Wang, Rong Du:
GCN-Based Linkage Prediction for Face Clustering on Imbalanced Datasets: An Empirical Study. CoRR abs/2107.02477 (2021)
Coauthor Index
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