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Publication search results
found 222 matches
- 2024
- Su Han, Fan Li, Ching-Hung Lee, Tengfei Wang, Mihai A. Diaconeasa:
Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin. Adv. Eng. Informatics 62: 102746 (2024) - Wei Liang, Jiahong Xiao, Yuxiang Chen, Chaoyi Yang, Kun Xie, Kuan-Ching Li, Beniamino Di Martino:
TMHD: Twin-Bridge Scheduling of Multi-Heterogeneous Dependent Tasks for Edge Computing. Future Gener. Comput. Syst. 158: 60-72 (2024) - Pei-Xuan Li, Hsun-Ping Hsieh, Yang Fan Chiang, Ding-You Wu, Ching-Chung Ko:
Enhancing Robust Liver Cancer Diagnosis: A Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation. ACM Trans. Comput. Heal. 5(2): 6:1-6:13 (2024) - Shiwen Zhang, Ziwei Yan, Wei Liang, Kuan-Ching Li, Beniamino Di Martino:
BCAE: A Blockchain-Based Cross Domain Authentication Scheme for Edge Computing. IEEE Internet Things J. 11(13): 24035-24048 (2024) - Chang-Keng Lin, Ding-Bing Lin, Han-Chang Lin, Chang-Ching Lin:
Design of a Compact Multiband Monopole Antenna with MIMO Mutual Coupling Reduction. Sensors 24(17): 5495 (2024) - Yong Ching Lim, Zhiyou Wu, Qinglai Liu, Paulo S. R. Diniz, Tapio Saramäki:
An Efficient Method With Guaranteed Convergence for Window Sidelobe Magnitude Reduction. IEEE Signal Process. Lett. 31: 1516-1519 (2024) - Chenxing Xia, Difeng Chen, Xiuju Gao, Bin Ge, Kuan-Ching Li, Xianjin Fang, Yan Zhang, Ke Yang:
MFCINet: multi-level feature and context information fusion network for RGB-D salient object detection. J. Supercomput. 80(2): 2487-2513 (2024) - Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. AAAI 2024: 22401-22409 - Cheng-Wei Ching, Xin Chen, Taehwan Kim, Bo Ji, Qingyang Wang, Dilma Da Silva, Liting Hu:
Totoro: A Scalable Federated Learning Engine for the Edge. EuroSys 2024: 182-199 - Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large Scale Recommendation. MLSys 2024 - Anirudh Prabhakaran, YeKun Xiao, Ching-Yu Cheng, Dianbo Liu:
Improve Robustness of Eye Disease Detection by including Learnable Probabilistic Discrete Latent Variables into Machine Learning Models. CoRR abs/2402.16865 (2024) - Liang Luo, Buyun Zhang, Michael Tsang, Yinbin Ma, Ching-Hsiang Chu, Yuxin Chen, Shen Li, Yuchen Hao, Yanli Zhao, Guna Lakshminarayanan, Ellie Dingqiao Wen, Jongsoo Park, Dheevatsa Mudigere, Maxim Naumov:
Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation. CoRR abs/2403.00877 (2024) - Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu:
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. CoRR abs/2403.05112 (2024) - Ching-Kai Lin, Di-Chun Wei, Yun-Chien Cheng:
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures. CoRR abs/2404.06080 (2024) - Mucong Ding, Yuancheng Xu, Tahseen Rabbani, Xiaoyu Liu, Brian J. Gravelle, Teresa M. Ranadive, Tai-Ching Tuan, Furong Huang:
Calibrated Dataset Condensation for Faster Hyperparameter Search. CoRR abs/2405.17535 (2024) - Meng Wang, Tian Lin, Aidi Lin, Kai Yu, Yuanyuan Peng, Lianyu Wang, Cheng Chen, Ke Zou, Huiyu Liang, Man Chen, Xue Yao, Meiqin Zhang, Binwei Huang, Chaoxin Zheng, Peixin Zhang, Wei Chen, Yilong Luo, Yifan Chen, Honghe Xia, Tingkun Shi, Qi Zhang, Jinming Guo, Xiaolin Chen, Jingcheng Wang, Yih Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Danqi Fang, Siying Liu, Qingyun Liu, Yuqiang Huang, Hongqiang Zeng, Yanda Meng, Yukun Zhou, Zehua Jiang, Minghui Qiu, Changqing Zhang, Xinjian Chen, Sophia Y. Wang, Cecilia S. Lee, Lucia Sobrin, Carol Y. Cheung, Chi Pui Pang, Pearse A Keane, Ching-Yu Cheng, Haoyu Chen, Huazhu Fu:
Common and Rare Fundus Diseases Identification Using Vision-Language Foundation Model with Knowledge of Over 400 Diseases. CoRR abs/2406.09317 (2024) - Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng:
Apple Intelligence Foundation Language Models. CoRR abs/2407.21075 (2024) - 2023
- Ching-Hung Lee, Dianni Wang, Shupeng Lyu, Richard David Evans, Li Li:
A digital transformation-enabled framework and strategies for public health risk response and governance: China's experience. Ind. Manag. Data Syst. 123(1): 133-154 (2023) - Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Özlem Uzuner:
Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes. J. Biomed. Informatics 144: 104432 (2023) - Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139: 104302 (2023) - Dean G. Jarrett, Ching-Chen Yeh, Shamith U. Payagala, Alireza R. Panna, Yanfei Yang, Linli Meng, Swapnil M. Mhatre, Ngoc Thanh Mai Tran, Heather M. Hill, Dipanjan Saha, Randolph E. Elmquist, David B. Newell, Albert F. Rigosi:
Graphene-Based Star-Mesh Resistance Networks. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - Chunyan Diao, Dafang Zhang, Wei Liang, Kuan-Ching Li, Yujie Hong, Jean-Luc Gaudiot:
A Novel Spatial-Temporal Multi-Scale Alignment Graph Neural Network Security Model for Vehicles Prediction. IEEE Trans. Intell. Transp. Syst. 24(1): 904-914 (2023) - Diya Li, Mohammed J. Zaki, Ching-Hua Chen:
Health-guided recipe recommendation over knowledge graphs. J. Web Semant. 75: 100743 (2023) - Yang Fan Chiang, Pei-Xuan Li, Ding-You Wu, Hsun-Ping Hsieh, Ching-Chung Ko:
Exploring Feature Fusion from A Contrastive Multi-Modality Learner for Liver Cancer Diagnosis. MMAsia 2023: 14:1-14:7 - Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng:
Survival Instinct in Offline Reinforcement Learning. NeurIPS 2023 - Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng:
Survival Instinct in Offline Reinforcement Learning. CoRR abs/2306.03286 (2023) - Vladimir Belov, Tracy Erwin-Grabner, Ling-Li Zeng, Christopher R. K. Ching, André Aleman, Alyssa R. Amod, Zeynep Basgoze, Francesco Benedetti, Bianca Besteher, Katharina Brosch, Robin Bülow, Romain Colle, Colm G. Connolly, Emmanuelle Corruble, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher G. Davey, Annemiek Dols, Jan Ernsting, Jennifer W. Evans, Lukas Fisch, Paola Fuentes-Claramonte, Ali Saffet Gonul, Ian H. Gotlib, Hans Jörgen Grabe, Nynke A. Groenewold, Dominik Grotegerd, Tim Hahn, J. Paul Hamilton, Laura K. M. Han, Ben J. Harrison, Tiffany C. Ho, Neda Jahanshad, Alec J. Jamieson, Andriana Karuk, Tilo Kircher, Bonnie Klimes-Dougan, Sheri-Michelle Koopowitz, Thomas M. Lancaster, Ramona Leenings, Meng Li, David E. J. Linden, Frank P. MacMaster, David M. A. Mehler, Susanne Meinert, Elisa Melloni, Bryon A. Mueller, Benson Mwangi, Igor Nenadic, Amar Ojha, Yasumasa Okamoto, Mardien L. Oudega, Brenda W. J. H. Penninx, Sara Poletti, Edith Pomarol-Clotet, Maria J. Portella, Elena Pozzi, Joaquim Radua, Elena Rodríguez-Cano, Matthew D. Sacchet, Raymond Salvador, Anouk Schrantee, Kang Sim, Jair C. Soares, Aleix Solanes, Dan J. Stein, Frederike Stein, Aleks Stolicyn, Sophia I. Thomopoulos, Yara J. Toenders, Aslihan Uyar-Demir, Eduard Vieta, Yolanda Vives-Gilabert, Henry Völzke, Martin Walter, Heather C. Whalley, Sarah Whittle, Nils R. Winter, Katharina Wittfeld, Margaret J. Wright, Mon-Ju Wu, Tony T. Yang, Carlos Zarate, Dick J. Veltman, Lianne Schmaal, Paul M. Thompson, Roberto Goya-Maldonado:
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features. CoRR abs/2311.11046 (2023) - 2022
- Ching-Hung Lee, Li Li, Dianni Wang, Hong Jie Wee:
Strategic servitization design method for Industry 4.0-based smart intralogistics and production. Expert Syst. Appl. 204: 117480 (2022) - Ying-Dar Lin, Jehoshua-Hanky Pratama, Didik Sudyana, Yuan-Cheng Lai, Ren-Hung Hwang, Po-Ching Lin, Hsuan-Yu Lin, Wei-Bin Lee, Chen-Kuo Chiang:
ELAT: Ensemble Learning with Adversarial Training in defending against evaded intrusions. J. Inf. Secur. Appl. 71: 103348 (2022) - Na Hu, Dafang Zhang, Kun Xie, Wei Liang, Chunyan Diao, Kuan-Ching Li:
Multi-range bidirectional mask graph convolution based GRU networks for traffic prediction. J. Syst. Archit. 133: 102775 (2022)
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