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Lin Yue
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2020 – today
- 2024
- [j28]Yuanbo Xu, Tian Li, Yongjian Yang, Weitong Chen, Lin Yue:
An adaptive category-aware recommender based on dual knowledge graphs. Inf. Process. Manag. 61(2): 103636 (2024) - [j27]Xuming Han, Yali Chu, Eric Ke Wang, Limin Wang, Lin Yue, Weiping Ding:
TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. Inf. Sci. 665: 120229 (2024) - [j26]Cheuk Hang (Allen) Au, Wen Shou Hsu, Po-Hsu Shieh, Lin Yue:
Can Stablecoins Foster Cryptocurrencies Adoption? J. Comput. Inf. Syst. 64(3): 360-369 (2024) - [c38]Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen:
Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction. CIKM 2024: 3395-3404 - [c37]Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen:
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics. CIKM 2024: 3405-3414 - [e7]Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang:
AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14471, Springer 2024, ISBN 978-981-99-8387-2 [contents] - [e6]Tongliang Liu, Geoffrey I. Webb, Lin Yue, Dadong Wang:
AI 2023: Advances in Artificial Intelligence - 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, November 28 - December 1, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14472, Springer 2024, ISBN 978-981-99-8390-2 [contents] - 2023
- [j25]Zhenkun Shi, Sen Wang, Lin Yue, Yijia Zhang, Binod Kumar Adhikari, Shuai Xue, Wanli Zuo, Xue Li:
Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction. Inf. Sci. 637: 118984 (2023) - [j24]Kangjian Sun, Ju Huo, Heming Jia, Lin Yue:
Reinforcement learning guided Spearman dynamic opposite Gradient-based optimizer for numerical optimization and anchor clustering. J. Comput. Des. Eng. 11(1): 12-33 (2023) - [j23]Linliang Guo, Limin Wang, Xuming Han, Lin Yue, Yihang Zhang, Minghan Gao:
ROCM: A Rolling Iteration Clustering Model Via Extracting Data Features. Neural Process. Lett. 55(4): 3899-3922 (2023) - [j22]Weitong Chen, Wei Emma Zhang, Lin Yue:
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs. World Wide Web (WWW) 26(6): 4025-4045 (2023) - [c36]Yuanbo Xu, Yuanbo Zhang, Yongjian Yang, Hangtong Xu, Lin Yue:
Duet Representation Learning with Entity Multi-attribute Information in Knowledge Graphs. ADMA (2) 2023: 32-45 - [c35]Yuanbo Xu, Lin Yue, Hangtong Xu, Yongjian Yang:
Learning Knowledge Representation with Entity Concept Information. ADMA (4) 2023: 268-283 - [c34]Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue:
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. ICKG 2023: 117-125 - [e5]Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13421, Springer 2023, ISBN 978-3-031-25157-3 [contents] - [e4]Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13422, Springer 2023, ISBN 978-3-031-25197-9 [contents] - [e3]Bohan Li, Lin Yue, Chuanqi Tao, Xuming Han, Diego Calvanese, Toshiyuki Amagasa:
Web and Big Data - 6th International Joint Conference, APWeb-WAIM 2022, Nanjing, China, November 25-27, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13423, Springer 2023, ISBN 978-3-031-25200-6 [contents] - [i2]Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue:
SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series. CoRR abs/2309.02752 (2023) - 2022
- [j21]Yue Zhang, Tao Peng, Ridong Han, Jiayu Han, Lin Yue, Lu Liu:
Synchronously tracking entities and relations in a syntax-aware parallel architecture for aspect-opinion pair extraction. Appl. Intell. 52(13): 15210-15225 (2022) - [j20]Tao Peng, Ridong Han, Hai Cui, Lin Yue, Jiayu Han, Lu Liu:
Distantly Supervised Relation Extraction using Global Hierarchy Embeddings and Local Probability Constraints. Knowl. Based Syst. 235: 107637 (2022) - [c33]Mingzhe Zhang, Lin Yue, Miao Xu:
ESTD: Empathy Style Transformer with Discriminative Mechanism. ADMA (2) 2022: 58-72 - [c32]Yawen Zhao, Lin Yue, Miao Xu:
A Boosting Algorithm for Training from Only Unlabeled Data. ADMA (2) 2022: 459-473 - [c31]Shaofei Shen, Miao Xu, Lin Yue, Robert Boots, Weitong Chen:
Death Comes But Why: An Interpretable Illness Severity Predictions in ICU. APWeb/WAIM (1) 2022: 60-75 - [c30]Chengwei Wang, Tao Peng, Yue Zhang, Lin Yue, Lu Liu:
AOPSS: A Joint Learning Framework for Aspect-Opinion Pair Extraction as Semantic Segmentation. APWeb/WAIM (2) 2022: 101-113 - [c29]Lin Yue, Yuxuan Zhang, Xiaowei Zhao, Zhe Zhang, Weitong Chen:
Improving Motor Imagery Intention Recognition via Local Relation Networks. APWeb/WAIM (1) 2022: 345-356 - [c28]Yalei Zang, Yi Liu, Weitong Chen, Bohan Li, Aoran Li, Lin Yue, Weihua Ma:
GISDCN: A Graph-Based Interpolation Sequential Recommender with Deformable Convolutional Network. DASFAA (2) 2022: 289-297 - [c27]Chenhao Zhang, Yanjun Zhang, Jeff Mao, Weitong Chen, Lin Yue, Guangdong Bai, Miao Xu:
Towards Better Generalization for Neural Network-Based SAT Solvers. PAKDD (2) 2022: 199-210 - [c26]Xin Yang, Limin Wang, Zhiqi Zhang, Xuming Han, Lin Yue:
A Backbone Whale Optimization Algorithm Based on Cross-stage Evolution. ICSI (1) 2022: 95-104 - [c25]Zhiqi Zhang, Limin Wang, Xin Yang, Xuming Han, Lin Yue:
Multi-objective Evolutionary Algorithm with Adaptive Fitting Dominant Hyperplane. ICSI (1) 2022: 472-481 - [e2]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13087, Springer 2022, ISBN 978-3-030-95404-8 [contents] - [e1]Bohan Li, Lin Yue, Jing Jiang, Weitong Chen, Xue Li, Guodong Long, Fei Fang, Han Yu:
Advanced Data Mining and Applications - 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2-4, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13088, Springer 2022, ISBN 978-3-030-95407-9 [contents] - 2021
- [j19]Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu, Gang Xie, Xinying Xu:
State-transition simulated annealing algorithm for constrained and unconstrained multi-objective optimization problems. Appl. Intell. 51(2): 775-787 (2021) - [j18]Lin Yue, Yao-jun Qu, Yanxin Song, Shunshoku Kanae, Jing Bai:
Research of the micro grid renewable energy control system based on renewable related data mining and forecasting technology. Int. J. Comput. Sci. Eng. 24(4): 385-397 (2021) - [j17]Zhenkun Shi, Sen Wang, Lin Yue, Lixin Pang, Xianglin Zuo, Wanli Zuo, Xue Li:
Deep dynamic imputation of clinical time series for mortality prediction. Inf. Sci. 579: 607-622 (2021) - [j16]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue:
Adversarially regularized medication recommendation model with multi-hop memory network. Knowl. Inf. Syst. 63(1): 125-142 (2021) - [j15]Lin Yue, Hao Shen, Sen Wang, Robert Boots, Guodong Long, Weitong Chen, Xiaowei Zhao:
Exploring BCI Control in Smart Environments: Intention Recognition Via EEG Representation Enhancement Learning. ACM Trans. Knowl. Discov. Data 15(5): 90:1-90:20 (2021) - [c24]Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao:
Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC 2021: 1-12 - [c23]Yixuan Qiu, Weitong Chen, Lin Yue, Miao Xu, Baofeng Zhu:
STCT: Spatial-Temporal Conv-Transformer Network for Cardiac Arrhythmias Recognition. ADMA 2021: 86-100 - [c22]Lu Jiang, Wanfei Zhang, Yibin Wang, Na Luo, Lin Yue:
Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform. ADMA 2021: 103-117 - [c21]Chunyu Liu, Yongjian Yang, Zijun Yao, Yuanbo Xu, Weitong Chen, Lin Yue, Haomeng Wu:
Discovering Urban Functions of High-Definition Zoning with Continuous Human Traces. CIKM 2021: 1048-1057 - [c20]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Miao Xu, Xue Li:
Multi-hop Reading on Memory Neural Network with Selective Coverage for Medication Recommendation. CIKM 2021: 2020-2029 - [c19]Yanda Wang, Weitong Chen, Dechang Pi, Lin Yue, Sen Wang, Miao Xu:
Self-Supervised Adversarial Distribution Regularization for Medication Recommendation. IJCAI 2021: 3134-3140 - [i1]Ridong Han, Tao Peng, Jiayu Han, Lin Yue, Hai Cui, Lu Liu:
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception. CoRR abs/2105.08213 (2021) - 2020
- [j14]Zhenkun Shi, Wanli Zuo, Shining Liang, Xianglin Zuo, Lin Yue, Xue Li:
IDDSAM: An Integrated Disease Diagnosis and Severity Assessment Model for Intensive Care Units. IEEE Access 8: 15423-15435 (2020) - [j13]Xiaoxia Han, Quanxi Xu, Lin Yue, Yingchao Dong, Gang Xie, Xinying Xu:
An Improved Crow Search Algorithm Based on Spiral Search Mechanism for Solving Numerical and Engineering Optimization Problems. IEEE Access 8: 92363-92382 (2020) - [j12]Yijia Zhang, Zhenkun Shi, Wanli Zuo, Lin Yue, Shining Liang, Xue Li:
Joint Personalized Markov Chains with social network embedding for cold-start recommendation. Neurocomputing 386: 208-220 (2020) - [j11]Xiaoxia Han, Lin Yue, Yingchao Dong, Quanxi Xu, Gang Xie, Xinying Xu:
Efficient hybrid algorithm based on moth search and fireworks algorithm for solving numerical and constrained engineering optimization problems. J. Supercomput. 76(12): 9404-9429 (2020) - [j10]Lin Yue, Dongyuan Tian, Weitong Chen, Xuming Han, Minghao Yin:
Deep learning for heterogeneous medical data analysis. World Wide Web 23(5): 2715-2737 (2020)
2010 – 2019
- 2019
- [j9]Xiaoxia Han, Yingchao Dong, Lin Yue, Quanxi Xu:
State Transition Simulated Annealing Algorithm for Discrete-Continuous Optimization Problems. IEEE Access 7: 44391-44403 (2019) - [j8]Hezheng Li, Jing Bai, Shunshoku Kanae, Yanxi Li, Lin Yue:
Active disturbance rejection control of three-phase grid-connected photovoltaic systems. Int. J. Model. Identif. Control. 33(3): 225-236 (2019) - [j7]Lin Yue, Weitong Chen, Xue Li, Wanli Zuo, Minghao Yin:
A survey of sentiment analysis in social media. Knowl. Inf. Syst. 60(2): 617-663 (2019) - [c18]Weitong Chen, Lin Yue, Bohan Li, Can Wang, Quan Z. Sheng:
DAMTRNN: A Delta Attention-Based Multi-task RNN for Intention Recognition. ADMA 2019: 373-388 - [c17]Zhenkun Shi, Weitong Chen, Shining Liang, Wanli Zuo, Lin Yue, Sen Wang:
Deep Interpretable Mortality Model for Intensive Care Unit Risk Prediction. ADMA 2019: 617-631 - [c16]Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Yuwei Hao, Shining Liang:
DMMAM: Deep Multi-source Multi-task Attention Model for Intensive Care Unit Diagnosis. DASFAA (2) 2019: 53-69 - [c15]Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao Yin:
A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data. DASFAA (3) 2019: 392-396 - 2018
- [j6]Xiaowei Zhao, Jiagen Li, Rui Wang, Fei He, Lin Yue, Minghao Yin:
General and Species-Specific Lysine Acetylation Site Prediction Using a Bi-Modal Deep Architecture. IEEE Access 6: 63560-63569 (2018) - [j5]Lin Yue, Xiaoxin Sun, Wenzhu Gao, Guo-Zhong Feng, Bangzuo Zhang:
Multiple Auxiliary Information Based Deep Model for Collaborative Filtering. J. Comput. Sci. Technol. 33(4): 668-681 (2018) - [c14]Cheng Ling, Lin Yue, Jing-Yang Gao:
Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. BIBM 2018: 2262-2268 - [c13]Yijia Zhang, Wanli Zuo, Zhenkun Shi, Lin Yue, Shining Liang:
Social Bayesian Personal Ranking for Missing Data in Implicit Feedback Recommendation. KSEM (1) 2018: 299-310 - [c12]Yuwei Hao, Wanli Zuo, Zhenkun Shi, Lin Yue, Shuai Xue, Fengling He:
Prognosis of Thyroid Disease Using MS-Apriori Improved Decision Tree. KSEM (1) 2018: 452-460 - [c11]Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li:
EEG-based Motion Intention Recognition via Multi-task RNNs. SDM 2018: 279-287 - 2017
- [j4]Lin Yue, Zhenkun Shi, Jiayu Han, Sen Wang, Weitong Chen, Wanli Zuo:
Multi-factors based sentence ordering for cross-document fusion from multimodal content. Neurocomputing 253: 6-14 (2017) - [j3]Yongjian Yang, Yuanbo Xu, Jiayu Han, En Wang, Weitong Chen, Lin Yue:
Efficient traffic congestion estimation using multiple spatio-temporal properties. Neurocomputing 267: 344-353 (2017) - [c10]Lin Yue, Shan Ling Pan, Barney Tan:
The Social Implications of Information Systems: Case Studies of Digitally-Enabled Social Innovation. PACIS 2017: 276 - [c9]Zhenkun Shi, Wanli Zuo, Weitong Chen, Lin Yue, Jiayu Han, Lizhou Feng:
User Relation Prediction Based on Matrix Factorization and Hybrid Particle Swarm Optimization. WWW (Companion Volume) 2017: 1335-1341 - 2016
- [c8]Lin Yue, Barney Tan, Lili Cui:
The Development, Enactment and Social Implications of Digital Entrepreneurship: Insights from a Rural Chinese Village. ICIS 2016 - 2015
- [j2]Lin Yue, Wanli Zuo, Tao Peng, Ying Wang, Xuming Han:
A fuzzy document clustering approach based on domain-specified ontology. Data Knowl. Eng. 100: 148-166 (2015) - [c7]Lin Yue, Shan Ling Pan, Barney Tan, Lili Cui:
Digitally Enabled Social Innovation: A Case Study of Community Empowerment in Rural China. ICIS 2015 - 2014
- [c6]Jiasong Pan, Lin Yue:
A ridge extraction algorithm based on partial differential equations of the wavelet transform. CIMSIVP 2014: 137-141 - 2012
- [j1]Xiquan Yang, Caifeng Zou, Lin Yue, Rui Gao:
Research on Food Complains Document Classification Based-on Topic. J. Softw. 7(8): 1687-1693 (2012) - [c5]Xiquan Yang, Meijia Wang, Lin Fang, Lin Yue, Yinghua Lv:
Research on Domain-Specific Features Clustering Based Spectral Clustering. ICSI (2) 2012: 84-92
1990 – 1999
- 1998
- [c4]Lin Yue, Don H. Johnson:
Adaptive reception of wireless CDMA signals using empirical detection. ICASSP 1998: 3205-3208 - [c3]Lin Yue, Don H. Johnson:
Universal classification for CDMA communications: single-user receivers and multi-user receivers. ICC 1998: 748-752 - 1997
- [c2]Lin Yue, Don H. Johnson:
Type-based detection in macro-diversity reception for mobile radio signals. ICASSP 1997: 4013-4016 - [c1]Lin Yue, Haitao Guo:
Texture Image Retrieval by Universal Classification for Wavelet Transform Coefficients. ICIP (3) 1997: 220-223
Coauthor Index
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last updated on 2024-11-15 19:31 CET by the dblp team
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