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- Chih-Hung Liu 0001
ETH Zürich, Switzerland - Chih-Hung Liu 0002
National Pingtung University of Science and Technology, Department of Management Information Systems, Taiwan - Chih-Hung Liu 0003
National Chiayi University, Department of Foreign Languages, Taiwan
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Publication search results
found 425 matches
- 2024
- Kai-Yuan Liu, Te-Kang Hung, Chi-Hung Lin, Yen-Chen Liu:
Redundancy-Driven Multi-Task Adaptive Backstepping Tracking Control for Aerial Manipulators. IEEE Access 12: 47134-47145 (2024) - Chih-Yu Hsiao, Chien-Chi Chang, Chun-Ju Liu, Kang-Hung Liu:
Effects of the number of strokes, components and usage frequency on the legibility of Chinese characters for optical head-mounted display. Behav. Inf. Technol. 43(4): 749-763 (2024) - Hong Liu, Yuzhou Zhuang, Enmin Song, Yongde Liao, Guanchao Ye, Fan Yang, Xiangyang Xu, Xvhao Xiao, Chih-Cheng Hung:
A 3D boundary-guided hybrid network with convolutions and Transformers for lung tumor segmentation in CT images. Comput. Biol. Medicine 180: 109009 (2024) - Shuo-Chen Chien, Chia-Ming Yen, Yu-Hung Chang, Ying-Erh Chen, Chia-Chun Liu, Yu-Ping Hsiao, Ping-Yen Yang, Hong-Ming Lin, Tsung-En Yang, Xing-Hua Lu, I-Chien Wu, Chih-Cheng Hsu, Hung-Yi Chiou, Ren-Hua Chung:
Using large language model (LLM) to identify high-burden informal caregivers in long-term care. Comput. Methods Programs Biomed. 255: 108329 (2024) - Yun-Chien Tseng, Wei-Chen Liu, Wen-Chih Peng, Chih-Chieh Hung:
Predicting the Next Diseases Using Graph Neural Networks on Administrative Medical Datasets. J. Inf. Sci. Eng. 40(3): 631-648 (2024) - Hung-Hsi Hsu, Tai-Hao Wen, Wei-Hsing Huang, Win-San Khwa, Yun-Chen Lo, Chuan-Jia Jhang, Yu-Hsiang Chin, Yu-Chiao Chen, Chung-Chuan Lo, Ren-Shuo Liu, Kea-Tiong Tang, Chih-Cheng Hsieh, Yu-Der Chih, Tsung-Yung Jonathan Chang, Meng-Fan Chang:
A Nonvolatile AI-Edge Processor With SLC-MLC Hybrid ReRAM Compute-in-Memory Macro Using Current-Voltage-Hybrid Readout Scheme. IEEE J. Solid State Circuits 59(1): 116-127 (2024) - Dalong Zheng, Zebin Wu, Jia Liu, Yang Xu, Chih-Cheng Hung, Zhihui Wei:
Explicit Change-Relation Learning for Change Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - Chih-Chieh Hung, Xiaoyuan Gao, Zhen Liu, Yumei Chai, Tingting Liu, Cuijuan Liu:
CECM: A cognitive emotional contagion model in social networks. Multim. Tools Appl. 83(1): 1001-1023 (2024) - Dalong Zheng, Zebin Wu, Jia Liu, Chih-Cheng Hung, Zhihui Wei:
Detail Enhanced Change Detection in VHR Images Using a Self-Supervised Multiscale Hybrid Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3181-3196 (2024) - Jian-Wei Su, Pei-Jung Lu, Ping-Chun Wu, Yen-Chi Chou, Ta-Wei Liu, Yen-Lin Chung, Li-Yang Hung, Jin-Sheng Ren, Wei-Hsing Huang, Chih-Han Chien, Peng-I Mei, Sih-Han Li, Shyh-Shyuan Sheu, Wei-Chung Lo, Shih-Chieh Chang, Hao-Chiao Hong, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Meng-Fan Chang:
8-Bit Precision 6T SRAM Compute-in-Memory Macro Using Global Bitline-Combining Scheme for Edge AI Chips. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2304-2308 (2024) - Chiu-Han Hsiao, Frank Yeong-Sung Lin, Tzu-Lung Sun, Yen-Yen Liao, Chih-Horng Wu, Yu-Chun Lai, Hung-Pei Wu, Pin-Ruei Liu, Bo-Ren Xiao, Chien-Hung Chen, Yennun Huang:
Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images. IEEE J. Biomed. Health Informatics 28(8): 4674-4687 (2024) - Li-Wei Fu, Chih-Hao Liu, Manu Jain, Chih-Shan Jason Chen, Yu-Hung Wu, Sheng-Lung Huang, Homer H. Chen:
Training With Uncertain Annotations for Semantic Segmentation of Basal Cell Carcinoma From Full-Field OCT Images. IEEE Trans. Medical Imaging 43(3): 1060-1070 (2024) - Pei-Rong Huang, Chih-Hung Chang, Wen-Ching Chen, Che-Lun Hung, Po-Yu Liu, Ting-Kuang Yeh, Hsiu-Wen Wang, Yu-Chun Yen, William Cheng-Chung Chu:
By Machine Learning Techniques Predicting Post-COVID-19 Condition. COMPSAC 2024: 2260-2265 - Wen-Ting Lu, Cheng-Hung Huang, Chi-Huang Hung, Yao-Yun Hsiao, Xuan-Wei Liu:
Design and Implementation of a Virtual Assistant by Using 3D Modeling Techniques. ICCE 2024: 1-2 - Hidehiro Fujiwara, Haruki Mori, Wei-Chang Zhao, Kinshuk Khare, Cheng-En Lee, Xiaochen Peng, Vineet Joshi, Chao-Kai Chuang, Shu-Huan Hsu, Takeshi Hashizume, Toshiaki Naganuma, Chen-Hung Tien, Yao-Yi Liu, Yen-Chien Lai, Chia-Fu Lee, Tan-Li Chou, Kerem Akarvardar, Saman Adham, Yih Wang, Yu-Der Chih, Yen-Huei Chen, Hung-Jen Liao, Tsung-Yung Jonathan Chang:
34.4 A 3nm, 32.5TOPS/W, 55.0TOPS/mm2 and 3.78Mb/mm2 Fully-Digital Compute-in-Memory Macro Supporting INT12 × INT12 with a Parallel-MAC Architecture and Foundry 6T-SRAM Bit Cell. ISSCC 2024: 572-574 - Tai-Hao Wen, Hung-Hsi Hsu, Win-San Khwa, Wei-Hsing Huang, Zhao-En Ke, Yu-Hsiang Chin, Hua-Jin Wen, Yu-Chen Chang, Wei-Ting Hsu, Chung-Chuan Lo, Ren-Shuo Liu, Chih-Cheng Hsieh, Kea-Tiong Tang, Shih-Hsih Teng, Chung-Cheng Chou, Yu-Der Chih, Tsung-Yung Jonathan Chang, Meng-Fan Chang:
34.8 A 22nm 16Mb Floating-Point ReRAM Compute-in-Memory Macro with 31.2TFLOPS/W for AI Edge Devices. ISSCC 2024: 580-582 - Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer:
Private Graphon Estimation via Sum-of-Squares. STOC 2024: 172-182 - Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam:
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. WWW (Companion Volume) 2024: 943-946 - Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-fu Chen, Feng Liu, Fang-Ming Hung:
Large Language Multimodal Models for 5-Year Chronic Disease Cohort Prediction Using EHR Data. CoRR abs/2403.04785 (2024) - Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer:
Private graphon estimation via sum-of-squares. CoRR abs/2403.12213 (2024) - Jingyu Wang, Niantai Jing, Ziyao Liu, Jie Nie, Yuxin Qi, Chi-Hung Chi, Kwok-Yan Lam:
Object-level Copy-Move Forgery Image Detection based on Inconsistency Mining. CoRR abs/2404.00611 (2024) - Chun-Hung Wu, Shih-Hong Chen, Chih-Yao Hu, Hsin-Yu Wu, Kai-Hsin Chen, Yu-You Chen, Chih-Hai Su, Chih-Kuo Lee, Yu-Lun Liu:
DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation. CoRR abs/2406.01591 (2024) - Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng:
MEDFuse: Multimodal EHR Data Fusion with Masked Lab-Test Modeling and Large Language Models. CoRR abs/2407.12309 (2024) - 2023
- Zheng Fang, Zhen Liu, Chih-Chieh Hung, Yoones A. Sekhavat, Tingting Liu, Xun Wang:
Learning coordinated emotion representation between voice and face. Appl. Intell. 53(11): 14470-14492 (2023) - Yu-Shun Mao, Shie-Jue Lee, Chih-Hung Wu, Chun-Liang Hou, Chen-Sen Ouyang, Chih-Feng Liu:
A hybrid deep learning network for forecasting air pollutant concentrations. Appl. Intell. 53(10): 12792-12810 (2023) - Ming Fang, Siyu Peng, Yujia Liang, Chih-Cheng Hung, Shuhua Liu:
A multimodal fusion model with multi-level attention mechanism for depression detection. Biomed. Signal Process. Control. 82: 104561 (2023) - Enmin Song, Bangcheng Zhan, Hong Liu, Coskun Cetinkaya, Chih-Cheng Hung:
NMNet: Learning Multi-level semantic information from scale extension domain for improved medical image segmentation. Biomed. Signal Process. Control. 83: 104651 (2023) - Bangcheng Zhan, Enmin Song, Hong Liu, Zhenyu Gong, Guangzhi Ma, Chih-Cheng Hung:
CFNet: A medical image segmentation method using the multi-view attention mechanism and adaptive fusion strategy. Biomed. Signal Process. Control. 79(Part): 104112 (2023) - Chih-Wei Jen, Hung-Chih Liu, Zheng-Chun Huang, Nai-Cheng Xue, Shyh-Jye Jou:
A Digital Frequency-Dependent I/Q Imbalance and Group Delay Estimation and Compensation Modules for mmWave Single Carrier Baseband Transceivers. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(2): 461-475 (2023) - Chun-Te Huang, Tsai-Jung Wang, Li-Kuo Kuo, Ming-Ju Tsai, Cong-Tat Cia, Dung-Hung Chiang, Po-Jen Chang, Inn-Wen Chong, Yi-Shan Tsai, Yuan-Chia Chu, Chia-Jen Liu, Cheng-Hsu Chen, Kai-Chih Pai, Chieh-Liang Wu:
Federated machine learning for predicting acute kidney injury in critically ill patients: a multicenter study in Taiwan. Health Inf. Sci. Syst. 11(1): 48 (2023)
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