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Publication search results
found 392 matches
- 2024
- Bin Liu, Changfeng Yan, Yaofeng Liu, Ming Lv, Yuan Huang, Lixiao Wu:
ISEANet: An interpretable subdomain enhanced adaptive network for unsupervised cross-domain fault diagnosis of rolling bearing. Adv. Eng. Informatics 62: 102610 (2024) - Hang Zhang, Guanpeng Dong, Bing Li, Zunyi Xie, Changhong Miao, Fan Yang, Yang Gao, Xiaoyu Meng, Dongyang Yang, Yong Liu, Hongjuan Zhang, Leying Wu, Fanglin Shi, Yulong Chen, Wenjie Wu, Edyta Laszkiewicz, Yutian Liang, Binbin Lu, Jing Yao, Xuecao Li:
Developing an annual global Sub-National scale economic data from 1992 to 2021 using nighttime lights and deep learning. Int. J. Appl. Earth Obs. Geoinformation 133: 104086 (2024) - Yan Zhu, Jinfeng Xi, Yuanyuan Yao, Hongwei Xu, Caiguo Tang, Lifang Wu:
Characterizing the dynamic linkages between environmental changes and wheat Fusarium head blight epidemics. Ecol. Informatics 80: 102524 (2024) - Wei-Wen Chen, Ling Kuo, Yi-Xun Lin, Wen-Chung Yu, Chien-Chao Tseng, Yenn-Jiang Lin, Ching-Chun Huang, Shih-Lin Chang, Jacky Chung-Hao Wu, Chun-Ku Chen, Ching-Yao Weng, Siwa Chan, Wei-Wen Lin, Yu-Cheng Hsieh, Ming-Chih Lin, Yun-Ching Fu, Tsung Chen, Shih-Ann Chen, Henry Horng-Shing Lu:
A Deep Learning Approach to Classify Fabry Cardiomyopathy from Hypertrophic Cardiomyopathy Using Cine Imaging on Cardiac Magnetic Resonance. Int. J. Biomed. Imaging 2024: 6114826:1-6114826:9 (2024) - Mingyang Wang, Zhengjian Wu, Jike Wang, Gaoqi Weng, Yu Kang, Peichen Pan, Dan Li, Yafeng Deng, Xiaojun Yao, Zhitong Bing, Chang-Yu Hsieh, Tingjun Hou:
Genetic Algorithm-Based Receptor Ligand: A Genetic Algorithm-Guided Generative Model to Boost the Novelty and Drug-Likeness of Molecules in a Sampling Chemical Space. J. Chem. Inf. Model. 64(4): 1213-1228 (2024) - Kun Zhu, Jianchao Chang, Siya Zhang, Yan Li, Junxun Zuo, Haoyu Ni, Bingyong Xie, Jiyuan Yao, Zhibin Xu, Sicheng Bian, Tingfei Yan, Xianyong Wu, Senlin Chen, Weiming Jin, Ying Wang, Peng Xu, Peiwen Song, Yuanyuan Wu, Cailiang Shen, Jiajia Zhu, Yongqiang Yu, Fulong Dong:
The enhanced connectivity between the frontoparietal, somatomotor network and thalamus as the most significant network changes of chronic low back pain. NeuroImage 290: 120558 (2024) - Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El-Saddik:
Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 543-560 (2024) - Xinhao Min, Kai Lu, Pengyu Liu, Jiguang Wan, Changsheng Xie, Daohui Wang, Ting Yao, Huatao Wu:
SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure. Proc. VLDB Endow. 17(5): 1091-1104 (2024) - Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu:
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. IEEE Robotics Autom. Lett. 9(9): 7389-7396 (2024) - Jianyuan Wang, Wen Yi, Na Li, Xianghui Xue, Jianfei Wu, Hailun Ye, Jian Li, Tingdi Chen, Yaoyu Tian, Boyuan Chang, Zonghua Ding, Jinsong Chen:
The Climatology of Gravity Waves over the Low-Latitude Region Estimated by Multiple Meteor Radars. Remote. Sens. 16(16): 2870 (2024) - Yunyang Zhu, Linlin Lu, Zilu Li, Shiqing Wang, Yu Yao, Wenjin Wu, Rajiv Pandey, Aqil Tariq, Ke Luo, Qingting Li:
Monitoring Land Use Changes in the Yellow River Delta Using Multi-Temporal Remote Sensing Data and Machine Learning from 2000 to 2020. Remote. Sens. 16(11): 1946 (2024) - Lin He, Yibin Yao, Chaoqian Xu, Huan Zhang, Feifei Tang, Changquan Ji, Zhuoya Liu, Wentan Wu:
A New Global ZTD Forecast Model Based on Improved LSTM Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 9606-9614 (2024) - Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang:
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23(8): 8077-8091 (2024) - Yuli Sun, Lin Lei, Dongdong Guan, Junzheng Wu, Gangyao Kuang, Li Liu:
Image Regression With Structure Cycle Consistency for Heterogeneous Change Detection. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1613-1627 (2024) - Jialun Li, Jieqian Yao, Danyang Xiao, Diying Yang, Weigang Wu:
EvoGWP: Predicting Long-Term Changes in Cloud Workloads Using Deep Graph-Evolution Learning. IEEE Trans. Parallel Distributed Syst. 35(3): 499-516 (2024) - Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu:
Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI 2024: 12145-12154 - Han Gao, Pengying Wu, Yao Su, Kangjie Zhou, Ji Ma, Hangxin Liu, Chang Liu:
Probabilistic Visibility-Aware Trajectory Planning for Target Tracking in Cluttered Environments. ACC 2024: 594-600 - Yao-Hsin Chou, Yun-Ting Lai, Yong Feng Tong, Alvin Young, Ming-Ho Chang, Kun-Min Wu, Yu-Chi Jiang, Shu-Yu Kuo:
A Quantum-Inspired Multi-objective Portfolio Strategy Based on Trend Ratio Model in Global Financial Network. CEC 2024: 1-8 - Yao-Hsin Chou, Ching-Hsuan Wu, Pei-Shin Huang, Shu-Yu Kuo, Yu-Chi Jiang, Sy-Yen Kuo, Ching-Ray Chang:
Hybrid Quantum Annealing with Innovative Trend Ratio Model for Portfolio Optimization. CEC 2024: 1-8 - Xin Jin, Chunle Guo, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun, Xiangyu Kong, Xiaoxia Xing, Jinlong Wu, Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan, Wenhan Luo, Zikun Liu, Mingde Qiao, Junjun Jiang, Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu, Weijian Ruan, Yubo Dong, Kai Chen, Hyejeong Jo, Jiahao Qin, Bingjie Han, Pinle Qin, Rui Chai, Pengyuan Wang:
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. CVPR Workshops 2024: 1153-1161 - Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Pranamesh Chakraborty, Sanjita Prajapati, Quan Kong, Norimasa Kobori, Munkhjargal Gochoo, Munkh-Erdene Otgonbold, Fady Alnajjar, Ganzorig Batnasan, Ping-Yang Chen, Jun-Wei Hsieh, Xunlei Wu, Sameer Satish Pusegaonkar, Yizhou Wang, Sujit Biswas, Rama Chellappa:
The 8th AI City Challenge. CVPR Workshops 2024: 7261-7272 - Wuqian Tang, Yi-Ting Li, Kai-Po Hsu, Kuan-Ling Chou, You-Cheng Lin, Chia-Feng Chien, Tzu-Li Hsu, Yung-Chih Chen, Ting-Chi Wang, Shih-Chieh Chang, TingTing Hwang, Chun-Yao Wang:
A Hybrid Approach to Reverse Engineering on Combinational Circuits. DATE 2024: 1-2 - Yao-Chung Chang, Yu-Shan Lin, Arun Kumar Sangaiah, Hsin-Te Wu:
A Private Blockchain System based on Zero Trust Architecture. ICACT 2024: 143-146 - Yao Guo, Yongliang Wu, Changsheng Wan:
A Multi-scale Patch Approach with Diffusion Model for Image Dehazing. ICIC (6) 2024: 392-402 - Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu:
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. ICML 2024 - Kangjie Zhou, Pengying Wu, Yao Su, Han Gao, Ji Ma, Hangxin Liu, Chang Liu:
ASPIRe: An Informative Trajectory Planner with Mutual Information Approximation for Target Search and Tracking. ICRA 2024: 4626-4632 - Yuhan Yao, Jiawei Feng, Ancong Wu, Jiangqun Ni, Wei-Shi Zheng:
Fine-Grained Depth Knowledge Distillation for Cloth-Changing Person Re-identification. IJCNN 2024: 1-8 - Jianxin Xue, Husheng Chen, Yaohua Hu, Minyu Chen, Ling-I Wu, Xi Chang:
Reduce Detection Latency of YOLOv5 to Prevent Real-Time Tracking Failures for Lightweight Robots. Internetware 2024 - Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen:
CoMAL: Contrastive Active Learning for Multi-Label Text Classification. KDD 2024: 2364-2375
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