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ORCIDXiaoli Li 0001
Xiao-Li Li 0001 – 李晓黎
Person information
- unicode name: 李晓黎
- affiliation: A*Star, Institute for Infocomm Research, Singapore
Other persons with the same name
- Xiaoli Li — disambiguation page
- Xiaoli Li 0002
![[0000-0003-1359-5130]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1359-5130")
— Beijing Normal University, State Key Laboratory of Cognitive Neuroscience and Learning, China (and 2 more) - Xiaoli Li 0003 — Shanghai University of Finance and Economics
- Xiaoli Li 0004 — Ryerson University, Toronto, Canada
- Xiaoli Li 0005 — Nangjing University of Technology, China
- Xiaoli Li 0006 — Donghua University, Shanghai, China
- Xiaoli Li 0007 — Municipal Electric Power Company, Shanghai, China
- Xiaoli Li 0008 — Shandong University, Jinan, China
- Xiaoli Li 0009 — Beijing Jiaotong University, Institute of Information Science, China
- Xiaoli Li 0010 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Xiaoli Li 0011 — Beijing University of Technology, School of Automation, Faculty of Information Technology, China (and 4 more)
- Xiaoli Li 0012 — University of Missouri, Columbia, MO, USA
- Xiaoli Li 0013 — The University of Kansas, Lawrence, KS, USA
- Xiaoli Li 0014 — Liaoning Technical University, School of Geomatics, Fuxin, China
- Xiaoli Li 0015 — University of Southampton, UK
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Journal Articles
- 2024
[j100]Yuecong Xu, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu, Jianfei Yang:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. Int. J. Comput. Vis. 132(4): 1292-1309 (2024)- [j99]Ziyang Wang, Wei Wei, Ding Zou, Yifan Liu, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Exploring global information for session-based recommendation. Pattern Recognit. 145: 109911 (2024) - [j98]Yucheng Wang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Multivariate Time-Series Representation Learning via Hierarchical Correlation Pooling Boosted Graph Neural Network. IEEE Trans. Artif. Intell. 5(1): 321-333 (2024) - [j97]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Contrastive Domain Adaptation for Time-Series Via Temporal Mixup. IEEE Trans. Artif. Intell. 5(3): 1185-1194 (2024) - [j96]Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen:
An Adaptive and Dynamical Neural Network for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 20(2): 1093-1102 (2024) - [j95]Xiaojun Ning, Jing Wang, Youfang Lin, Xiyang Cai, Haobin Chen, Haijun Gou, Xiaoli Li, Ziyu Jia:
MetaEmotionNet: Spatial-Spectral-Temporal-Based Attention 3-D Dense Network With Meta-Learning for EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j94]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-Supervised Autoregressive Domain Adaptation for Time Series Data. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1341-1351 (2024) - 2023
- [j93]Youlin Zhan, Jiahan Liu, Min Wu, Chris Soon Heng Tan, Xiaoli Li, Le Ou-Yang:
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks. Comput. Biol. Medicine 159: 106936 (2023) - [j92]Xiaolei Yu, Zhibin Zhao, Xingwu Zhang, Shaohua Tian, Chee-Keong Kwoh, Xiaoli Li, Xuefeng Chen:
A universal transfer network for machinery fault diagnosis. Comput. Ind. 151: 103976 (2023) - [j91]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j90]Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu:
PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. 215: 119414 (2023) - [j89]Qing Xu, Min Wu, Edwin Khoo, Zhenghua Chen, Xiaoli Li:
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life. IEEE CAA J. Autom. Sinica 10(1): 177-187 (2023) - [j88]Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack:
A decentralized learning strategy to restore connectivity during multi-agent formation control. Neurocomputing 520: 33-45 (2023) - [j87]Yujie Fu, Suge Wang, Xiaoli Li, Deyu Li, Yang Li, Jian Liao, Jianxing Zheng:
Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classification. Inf. Sci. 624: 796-810 (2023) - [j86]Xin Li, Xiaoli Li, Kang Wang, Shengxiang Yang:
A strength pareto evolutionary algorithm based on adaptive reference points for solving irregular fronts. Inf. Sci. 626: 658-693 (2023) - [j85]Xiaoqi Han, Ru Li, Xiaoli Li, Jeff Z. Pan:
A divide and conquer framework for Knowledge Editing. Knowl. Based Syst. 279: 110826 (2023) - [j84]Xin Chen, Suge Wang, Xiaoli Li, Zhen Hai, Yang Li, Deyu Li, Jianghui Cai:
Identifying implicit emotions via hierarchical structure and rhetorical correlation. Int. J. Mach. Learn. Cybern. 14(11): 3753-3764 (2023) - [j83]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-Supervised Contrastive Representation Learning for Semi-Supervised Time-Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15604-15618 (2023) - [j82]Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan:
A Span-based Target-aware Relation Model for Frame-semantic Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 90:1-90:24 (2023) - [j81]Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li:
Reinforced Adaptation Network for Partial Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2370-2380 (2023) - [j80]Yan Qin, Chau Yuen, Yimin Shao, Bo Qin, Xiaoli Li:
Slow-Varying Dynamics-Assisted Temporal Capsule Network for Machinery Remaining Useful Life Estimation. IEEE Trans. Cybern. 53(1): 592-606 (2023) - [j79]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li, Cuntai Guan:
ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 210-221 (2023) - [j78]Zeng Zeng, Ziyuan Zhao, Kaixin Xu, Yangfan Li, Cen Chen, Xiaofeng Zou, Yulan Wang, Wei Wei, Pierce K. H. Chow, Xiao-Li Li:
CoIn: Correlation Induced Clustering for Cognition of High Dimensional Bioinformatics Data. IEEE J. Biomed. Health Informatics 27(2): 598-607 (2023) - [j77]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. ACM Trans. Knowl. Discov. Data 17(8): 106:1-106:18 (2023) - [j76]Devki Nandan Jha, Zhenghua Chen, Shudong Liu, Min Wu, Jiahan Zhang, Graham Morgan, Rajiv Ranjan, Xiaoli Li:
A Hybrid Accuracy- and Energy-Aware Human Activity Recognition Model in IoT Environment. IEEE Trans. Sustain. Comput. 8(1): 1-14 (2023) - 2022
- [j75]Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li:
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38(8): 2254-2262 (2022) - [j74]Ruibing Jin, Min Wu, Keyu Wu, Kaizhou Gao, Zhenghua Chen, Xiaoli Li:
Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction. IEEE CAA J. Autom. Sinica 9(8): 1427-1439 (2022) - [j73]Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An:
Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing 481: 182-192 (2022) - [j72]Qing Xu, Zhenghua Chen, Mohamed Ragab, Chao Wang, Min Wu, Xiaoli Li:
Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks. Neurocomputing 485: 242-251 (2022) - [j71]Xin Li, Xiaoli Li, Kang Wang:
A multi-objective evolutionary algorithm based on niche selection in solving irregular Pareto fronts. J. Intell. Fuzzy Syst. 42(6): 5863-5883 (2022) - [j70]Yujie Fu, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Incorporate opinion-towards for stance detection. Knowl. Based Syst. 246: 108657 (2022) - [j69]Md Meftahul Ferdaus, Bangjian Zhou, Ji Wei Yoon, Kain Lu Low, Jieming Pan, Joydeep Ghosh, Min Wu, Xiaoli Li, Aaron Voon-Yew Thean, J. Senthilnath:
Significance of activation functions in developing an online classifier for semiconductor defect detection. Knowl. Based Syst. 248: 108818 (2022) - [j68]Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph. IEEE Trans. Big Data 8(3): 616-629 (2022) - [j67]Xiaoli Li, Huanhuan Chen, Thomas Ploetz, Min Wu, Zhenghua Chen:
Guest Editorial Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 6(4): 725-727 (2022) - [j66]Qing Xu, Zhenghua Chen, Keyu Wu, Chao Wang, Min Wu, Xiaoli Li:
KDnet-RUL: A Knowledge Distillation Framework to Compress Deep Neural Networks for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Electron. 69(2): 2022-2032 (2022) - [j65]Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan:
Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j64]Mohamed Ragab, Zhenghua Chen, Wenyu Zhang, Emadeldeen Eldele, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Conditional Contrastive Domain Generalization for Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j63]Wei Cui, Le Zhang, Bing Li, Zhenghua Chen, Min Wu, Xiaoli Li, Jiawen Kang:
Semi-Supervised Deep Adversarial Forest for Cross-Environment Localization. IEEE Trans. Veh. Technol. 71(9): 10215-10219 (2022) - 2021
- [j62]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent advances in network-based methods for disease gene prediction. Briefings Bioinform. 22(4) (2021) - [j61]Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37(16): 2432-2440 (2021) - [j60]Chuan Shi, Jiayu Ding, Xiaohuan Cao, Linmei Hu, Bin Wu, Xiaoli Li:
Entity set expansion in knowledge graph: a heterogeneous information network perspective. Frontiers Comput. Sci. 15(1): 151307 (2021) - [j59]Yujie Fu, Jian Liao, Yang Li, Suge Wang, Deyu Li, Xiaoli Li:
Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract. Neurocomputing 438: 302-311 (2021) - [j58]Xiaoli Li, Peilin Zhao, Min Wu, Zhenghua Chen, Le Zhang:
Deep learning for human activity recognition. Neurocomputing 444: 214-216 (2021) - [j57]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention-based sequence to sequence model for machine remaining useful life prediction. Neurocomputing 466: 58-68 (2021) - [j56]Xin Li, Xiaoli Li, Kang Wang:
A many-objective evolutionary algorithm based on vector angle distance scaling. J. Intell. Fuzzy Syst. 40(5): 10285-10306 (2021) - [j55]Shaoru Guo, Yong Guan, Hongye Tan, Ru Li, Xiaoli Li:
Frame-based Neural Network for Machine Reading Comprehension. Knowl. Based Syst. 219: 106889 (2021) - [j54]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang:
Frame Semantics guided network for Abstractive Sentence Summarization. Knowl. Based Syst. 221: 106973 (2021) - [j53]Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan:
Frame-based Multi-level Semantics Representation for text matching. Knowl. Based Syst. 232: 107454 (2021) - [j52]Zhenghua Chen, Min Wu, Kaizhou Gao, Jiyan Wu, Jie Ding, Zeng Zeng, Xiaoli Li:
A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration. IEEE Trans. Emerg. Top. Comput. Intell. 5(5): 803-812 (2021) - [j51]Zhenghua Chen, Min Wu, Rui Zhao, Feri Guretno, Ruqiang Yan, Xiaoli Li:
Machine Remaining Useful Life Prediction via an Attention-Based Deep Learning Approach. IEEE Trans. Ind. Electron. 68(3): 2521-2531 (2021) - [j50]Mohamed Ragab, Zhenghua Chen, Min Wu, Chuan Sheng Foo, Chee Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction. IEEE Trans. Ind. Informatics 17(8): 5239-5249 (2021) - [j49]Mohamed Ragab, Zhenghua Chen, Min Wu, Haoliang Li, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Adversarial Multiple-Target Domain Adaptation for Fault Classification. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j48]Jiyan Wu, Min Wu, Zhenghua Chen, Xiaoli Li, Ruqiang Yan:
Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - [j47]Zhenghua Chen, Min Wu, Wei Cui, Chengyu Liu, Xiaoli Li:
An Attention Based CNN-LSTM Approach for Sleep-Wake Detection With Heterogeneous Sensors. IEEE J. Biomed. Health Informatics 25(9): 3270-3277 (2021) - [j46]Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li:
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25(10): 4041-4051 (2021) - [j45]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. ACM Trans. Knowl. Discov. Data 15(3): 39:1-39:18 (2021) - [j44]Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li:
Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 33(1): 154-168 (2021) - [j43]Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie:
HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021) - 2020
- [j42]Zhuojia Wu, Yang Li, Jian Liao, Deyu Li, Xiaoli Li, Suge Wang:
Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification. IEEE Access 8: 29238-29248 (2020) - [j41]Zi-Chao Zhang, Xiao-Fei Zhang, Min Wu, Le Ou-Yang, Xing-Ming Zhao, Xiaoli Li:
A graph regularized generalized matrix factorization model for predicting links in biomedical bipartite networks. Bioinform. 36(11): 3474-3481 (2020) - [j40]Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36(19): 4918-4927 (2020) - [j39]Hongyun Cai, Thanh Tung Nguyen, Yan Li, Vincent W. Zheng, Binbin Chen, Gao Cong, Xiaoli Li:
Modeling Marked Temporal Point Process Using Multi-relation Structure RNN. Cogn. Comput. 12(3): 499-512 (2020) - [j38]Linmei Hu, Shuqi Yu, Bin Wu, Chao Shao, Xiaoli Li:
A neural model for joint event detection and prediction. Neurocomputing 407: 376-384 (2020) - [j37]Xiaoli Li, Shan Zhang, Kang Wang:
PM2.5 Estimation Based on Image Analysis. KSII Trans. Internet Inf. Syst. 14(2): 907-923 (2020) - [j36]Hongyan Zhao, Ru Li, Xiaoli Li, Hongye Tan:
CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction. Knowl. Based Syst. 210: 106480 (2020) - [j35]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 748-757 (2020) - [j34]Zhenghua Chen, Chaoyang Jiang, Shili Xiang, Jie Ding, Min Wu, Xiaoli Li:
Smartphone Sensor-Based Human Activity Recognition Using Feature Fusion and Maximum Full a Posteriori. IEEE Trans. Instrum. Meas. 69(7): 3992-4001 (2020) - [j33]Peng Zhang, Suge Wang, Deyu Li, Xiaoli Li, Zhikang Xu:
Combine Topic Modeling with Semantic Embedding: Embedding Enhanced Topic Model. IEEE Trans. Knowl. Data Eng. 32(12): 2322-2335 (2020) - 2019
- [j32]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Computational prediction of drug-target interactions using chemogenomic approaches: an empirical survey. Briefings Bioinform. 20(4): 1337-1357 (2019) - [j31]Yang Li, Ying Lv, Suge Wang, Jiye Liang, Juanzi Li, Xiaoli Li:
Cooperative Hybrid Semi-Supervised Learning for Text Sentiment Classification. Symmetry 11(2): 133 (2019) - 2018
- [j30]Bo Zhang, Wei Li, Xiao-Li Li, See-Kiong Ng:
Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks. IEEE Access 6: 66367-66384 (2018) - 2017
- [j29]Liang Lan, Kai Zhang, Hancheng Ge, Wei Cheng, Jun Liu, Andreas Rauber, Xiaoli Li, Jun Wang, Hongyuan Zha:
Low-rank decomposition meets kernel learning: A generalized Nyström method. Artif. Intell. 250: 1-15 (2017) - [j28]Jian Liao, Suge Wang, Deyu Li, Xiaoli Li:
FREERL: Fusion relation embedded representation learning framework for aspect extraction. Knowl. Based Syst. 135: 9-17 (2017) - [j27]Fei Wang, Xiaoli Li, Jason T. L. Wang, See-Kiong Ng:
Guest Editorial: Special Section on Biological Data Mining and Its Applications in Healthcare. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 501-502 (2017) - [j26]Ali Ezzat, Peilin Zhao, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-Target Interaction Prediction with Graph Regularized Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 646-656 (2017) - [j25]Min Wu, Le Ou-Yang, Xiaoli Li:
Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 733-739 (2017) - [j24]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network Motif Discovery: A GPU Approach. IEEE Trans. Knowl. Data Eng. 29(3): 513-528 (2017) - [j23]Lei Hou, Juanzi Li, Xiaoli Li, Jie Tang, Xiaofei Guo:
Learning to Align Comments to News Topics. ACM Trans. Inf. Syst. 36(1): 9:1-9:31 (2017) - 2016
- [j22]Le Ou-Yang, Min Wu, Xiao-Fei Zhang, Dao-Qing Dai, Xiaoli Li, Hong Yan:
A two-layer integration framework for protein complex detection. BMC Bioinform. 17: 100 (2016) - [j21]Ali Ezzat, Min Wu, Xiaoli Li, Chee Keong Kwoh:
Drug-target interaction prediction via class imbalance-aware ensemble learning. BMC Bioinform. 17(S-19): 267-276 (2016) - [j20]Yong Liu, Min Wu, Chunyan Miao, Peilin Zhao, Xiaoli Li:
Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. PLoS Comput. Biol. 12(2) (2016) - 2015
- [j19]Xiaoli Li, Jie Zheng:
Introduction to the CSBio2014 special issue. J. Bioinform. Comput. Biol. 13(3): 1502002:1-1502002:4 (2015) - [j18]Fan Zhang, Min Wu, Xuejuan Li, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates. J. Bioinform. Comput. Biol. 13(3): 1541002:1-1541002:14 (2015) - 2014
- [j17]Le Ou-Yang, Dao-Qing Dai, Xiaoli Li, Min Wu, Xiao-Fei Zhang, Peng Yang:
Detecting temporal protein complexes from dynamic protein-protein interaction networks. BMC Bioinform. 15: 335 (2014) - [j16]Min Wu, Chee Keong Kwoh, Xiaoli Li, Jie Zheng:
Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast. BMC Syst. Biol. 8: 107 (2014) - [j15]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning:
Microbial community pattern detection in human body habitats via ensemble clustering framework. BMC Syst. Biol. 8(S-4): S7 (2014) - 2013
- [j14]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng:
Drug-target interaction prediction by learning from local information and neighbors. Bioinform. 29(2): 238-245 (2013) - [j13]Henry Han, Xiaoli Li, See-Kiong Ng, Zhou Ji:
Multi-Resolution-Test for Consistent phenotype Discrimination and biomarker Discovery in Translational Bioinformatics. J. Bioinform. Comput. Biol. 11(6) (2013) - [j12]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
Integrated Oversampling for Imbalanced Time Series Classification. IEEE Trans. Knowl. Data Eng. 25(12): 2809-2822 (2013) - 2012
- [j11]Peng Yang, Xiaoli Li, Jian-Ping Mei, Chee Keong Kwoh, See-Kiong Ng:
Positive-unlabeled learning for disease gene identification. Bioinform. 28(20): 2640-2647 (2012) - [j10]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng, Limsoon Wong:
Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data. J. Comput. Biol. 19(9): 1027-1042 (2012) - [j9]Minh Nhut Nguyen, Chunyu Bao, Kar Leong Tew, Sintiani Dewi Teddy, Xiaoli Li:
Ensemble Based Real-Time Adaptive Classification System for Intelligent Sensing Machine Diagnostics. IEEE Trans. Reliab. 61(2): 303-313 (2012) - 2011
- [j8]Zhipeng Xie, Chee Keong Kwoh, Xiaoli Li, Min Wu:
Construction of co-complex score matrix for protein complex prediction from AP-MS data. Bioinform. 27(13): 159-166 (2011) - [j7]Henry Han, Xiaoli Li:
Multi-resolution independent component analysis for high-performance tumor classification and biomarker discovery. BMC Bioinform. 12(S-1): S7 (2011) - 2010
- [j6]Min Wu, Xiaoli Li, Hon Nian Chua, Chee Keong Kwoh, See-Kiong Ng:
Integrating diverse biological and computational sources for reliable protein-protein interactions. BMC Bioinform. 11(S-7): S8 (2010) - 2009
- [j5]Min Wu, Xiaoli Li, Chee Keong Kwoh, See-Kiong Ng:
A core-attachment based method to detect protein complexes in PPI networks. BMC Bioinform. 10 (2009) - 2008
- [j4]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
Inferring Transcription Factor interactions using a novel HV-SVM classifier. Int. J. Comput. Biol. Drug Des. 1(1): 59-73 (2008) - 2006
- [j3]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method. BMC Bioinform. 7(S-4) (2006) - [j2]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Improving domain-based protein interaction prediction using biologically-significant negative dataset. Int. J. Data Min. Bioinform. 1(2): 138-149 (2006) - 2002
- [j1]Xiaoli Li, Zhongzhi Shi:
Innovating Web Page Classification Through Reducing Noise. J. Comput. Sci. Technol. 17(1): 9-17 (2002)
Conference and Workshop Papers
- 2023
- [c137]Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie:
SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. AAAI 2023: 10253-10261 - [c136]Yujie Fu, Yang Li, Suge Wang, Xiaoli Li, Deyu Li, Jian Liao, Jianxing Zheng:
Hierarchical Enhancement Framework for Aspect-based Argument Mining. EMNLP (Findings) 2023: 1423-1433 - [c135]Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. EMNLP 2023: 5754-5765 - [c134]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
From Speculation Detection to Trustworthy Relational Tuples in Information Extraction. EMNLP (Findings) 2023: 13287-13299 - [c133]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. EMNLP 2023: 15390-15404 - [c132]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. ICCV 2023: 13399-13410 - [c131]Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. ICCV 2023: 17401-17411 - [c130]Zhongyao Cheng, Cen Chen, Ziyuan Zhao, Peisheng Qian, Xiaoli Li, Xulei Yang:
COCO-TEACH: A Contrastive Co-Teaching Network For Incremental 3D Object Detection. ICIP 2023: 1990-1994 - [c129]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. IJCAI 2023: 4460-4468 - [c128]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. IJCAI 2023: 4984-4992 - [c127]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. KDD 2023: 1989-1998 - 2022
- [c126]Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li:
Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation. AAAI 2022: 8683-8690 - [c125]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - [c124]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. EMNLP 2022: 4072-4083 - [c123]Chenyang Li, Chee Keong Kwoh, Xiaoli Li, Lingfei Mo, Ruqiang Yan:
Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network. ICARCV 2022: 678-683 - [c122]Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. IJCAI 2022: 3078-3084 - [c121]Yuxiang Zhang, Tianyu Yang, Tao Jiang, Xiaoli Li, Suge Wang:
Hyperbolic Deep Keyphrase Generation. ECML/PKDD (2) 2022: 521-536 - [c120]Yuxiang Zhang, Tao Jiang, Tianyu Yang, Xiaoli Li, Suge Wang:
HTKG: Deep Keyphrase Generation with Neural Hierarchical Topic Guidance. SIGIR 2022: 1044-1054 - 2021
- [c119]Hongye Tan, Xiaoyue Wang, Yu Ji, Ru Li, Xiaoli Li, Zhiwei Hu, Yunxiao Zhao, Xiaoqi Han:
GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation. ACL/IJCNLP (Findings) 2021: 1319-1330 - [c118]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. ACL/IJCNLP (Findings) 2021: 2377-2389 - [c117]Xuefeng Su, Ru Li, Xiaoli Li, Jeff Z. Pan, Hu Zhang, Qinghua Chai, Xiaoqi Han:
A Knowledge-Guided Framework for Frame Identification. ACL/IJCNLP (1) 2021: 5230-5240 - [c116]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
A Conditional Splitting Framework for Efficient Constituency Parsing. ACL/IJCNLP (1) 2021: 5795-5807 - [c115]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. EMBC 2021: 2115-2118 - [c114]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hu Zhang:
Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization. EMNLP (1) 2021: 2522-2529 - [c113]Yong Guan, Shaoru Guo, Ru Li, Xiaoli Li, Hongye Tan:
Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization. EMNLP (1) 2021: 4045-4052 - [c112]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. IJCAI 2021: 2352-2359 - [c111]Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li:
Deep Reinforcement Learning Boosted Partial Domain Adaptation. IJCAI 2021: 3192-3199 - [c110]Deeksha Aggarwal, J. Senthilnath, Uttam Kumar, Vivek Yadav, Sushant Kulkarni, Md Meftahul Ferdaus, Xiaoli Li:
SGDOL: Self-evolving Generative and Discriminative Online Learning for Data Stream Classification. ICDM (Workshops) 2021: 322-330 - [c109]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
RST Parsing from Scratch. NAACL-HLT 2021: 1613-1625 - 2020
- [c108]Shaoru Guo, Ru Li, Hongye Tan, Xiaoli Li, Yong Guan, Hongyan Zhao, Yueping Zhang:
A Frame-based Sentence Representation for Machine Reading Comprehension. ACL 2020: 891-896 - [c107]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Efficient Constituency Parsing by Pointing. ACL 2020: 3284-3294 - [c106]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Differentiable Window for Dynamic Local Attention. ACL 2020: 6589-6599 - [c105]Aye Phyu Phyu Aung, Xinrun Wang, Bo An, Xiaoli Li:
We Mind Your Well-Being: Preventing Depression in Uncertain Social Networks by Sequential Interventions. ICAPS 2020: 499-507 - [c104]Yuxiang Zhang, Huan Liu, Bei Shi, Xiaoli Li, Suge Wang:
WEKE: Learning Word Embeddings for Keyphrase Extraction. APWeb/WAIM (2) 2020: 245-260 - [c103]Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li:
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM 2020: 455-459 - [c102]Shaoru Guo, Yong Guan, Ru Li, Xiaoli Li, Hongye Tan:
Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension. COLING 2020: 2635-2641 - [c101]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Deep learning with long short-term memory networks for classification of dementia related travel patterns. EMBC 2020: 5563-5566 - [c100]Wenyue Zhang, Xiaoli Li, Yang Li, Suge Wang, Deyu Li, Jian Liao, Jianxing Zheng:
Public Sentiment Drift Analysis Based on Hierarchical Variational Auto-encoder. EMNLP (1) 2020: 3762-3767 - [c99]Yubo Hou, Zhenghua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Raed M. Shubair:
Mahalanobis Distance Based Adversarial Network for Anomaly Detection. ICASSP 2020: 3192-3196 - [c98]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. ICIP 2020: 2496-2500 - [c97]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Adversarial Transfer Learning for Machine Remaining Useful Life Prediction. ICPHM 2020: 1-7 - [c96]Xuefeng Su, Ru Li, Xiaoli Li:
Multi-domain Transfer Learning for Text Classification. NLPCC (1) 2020: 457-469 - [c95]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xianling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 169-178 - [c94]Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li:
HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM 2020: 609-617 - 2019
- [c93]Zhenghua Chen, Min Wu, Jiyan Wu, Jie Ding, Zeng Zeng, Karl Surmacz, Xiaoli Li:
A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data. BHI 2019: 1-4 - [c92]Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, Xiaoli Li:
Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. EMNLP/IJCNLP (1) 2019: 4820-4829 - [c91]Shudong Liu, Xiaoli Li, Shili Xiang, Min Wu:
Mobile Robot Routing with Energy Consumption Optimization. ICRAI 2019: 30-35 - [c90]Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li:
Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR 2019: 255-264 - 2018
- [c89]Jiangtao Zhang, Juanzi Li, Xiao-Li Li, Yixin Cao, Lei Hou, Shuai Wang:
Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition. DASFAA (1) 2018: 830-846 - [c88]Sujatha Das Gollapalli, Xiaoli Li:
Using PageRank for Characterizing Topic Quality in LDA. ICTIR 2018: 115-122 - [c87]Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiao-Li Li, Zhihui Jin:
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback. IJCAI 2018: 3463-3469 - [c86]Ali Zonoozi, Jung-Jae Kim, Xiao-Li Li, Gao Cong:
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns. IJCAI 2018: 3732-3738 - [c85]Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou, Xiao-Li Li:
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. PAKDD (2) 2018: 275-287 - [c84]Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li, Bin Wu:
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph. PAKDD (2) 2018: 288-299 - [c83]Shili Xiang, Dong Huang, Xiaoli Li:
A Generalized Predictive Framework for Data Driven Prognostics and Diagnostics using Machine Logs. TENCON 2018: 695-700 - 2017
- [c82]Sujatha Das Gollapalli, Xiaoli Li, Peng Yang:
Incorporating Expert Knowledge into Keyphrase Extraction. AAAI 2017: 3180-3187 - [c81]Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao:
What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456 - [c80]Shili Xiang, Lu Li, Si Min Lo, Xiaoli Li:
People-Centric Mobile Crowdsensing Platform for Urban Design. ADMA 2017: 569-581 - [c79]Shudong Liu, Huayu Wu, Shili Xiang, Xiaoli Li:
Mobile Robot Scheduling with Multiple Trips and Time Windows. ADMA 2017: 608-620 - [c78]Yuxiang Zhang, Yaocheng Chang, Xiaoqing Liu, Sujatha Das Gollapalli, Xiaoli Li, Chunjing Xiao:
MIKE: Keyphrase Extraction by Integrating Multidimensional Information. CIKM 2017: 1349-1358 - [c77]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li:
Learning User Dependencies for Recommendation. IJCAI 2017: 2379-2385 - [c76]Yangtao Wang, Lihui Chen, Xiaoli Li:
Multiple Medoids based Multi-view Relational Fuzzy Clustering with Minimax Optimization. IJCAI 2017: 2971-2977 - [c75]Yuyan Zheng, Chuan Shi, Xiaohuan Cao, Xiaoli Li, Bin Wu:
Entity Set Expansion with Meta Path in Knowledge Graph. PAKDD (1) 2017: 317-329 - 2016
- [c74]Jiangtao Zhang, Juanzi Li, Xiaoli Li, Yao Shi, Junpeng Li, Zhigang Wang:
Domain-Specific Entity Linking via Fake Named Entity Detection. DASFAA (1) 2016: 101-116 - [c73]Giduthuri Sateesh Babu, Peilin Zhao, Xiaoli Li:
Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life. DASFAA (1) 2016: 214-228 - [c72]Zhen Hai, Peilin Zhao, Peng Cheng, Peng Yang, Xiaoli Li, Guangxia Li:
Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data. EMNLP 2016: 1817-1826 - [c71]Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li:
Semantic proximity search on graphs with metagraph-based learning. ICDE 2016: 277-288 - [c70]Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li:
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization. ICML 2016: 1660-1669 - [c69]Xin Liu, Yong Liu, Xiaoli Li:
Exploring the Context of Locations for Personalized Location Recommendations. IJCAI 2016: 1188-1194 - [c68]G. Sateesh Babu, Xiaoli Li, Suresh Sundaram:
Meta-cognitive Regression Neural Network for function approximation: Application to Remaining Useful Life estimation. IJCNN 2016: 4803-4810 - [c67]Yuxiang Zhang, Lulu Wang, Xiaoli Li, Chunjing Xiao:
Social Identity Link Across Incomplete Social Information Sources Using Anchor Link Expansion. PAKDD (1) 2016: 395-408 - [c66]Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin:
Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test. ECML/PKDD (2) 2016: 331-346 - [c65]Eran Shaham, Honghai Yu, Xiaoli Li:
On finding the maximum edge biclique in a bipartite graph: a subspace clustering approach. SDM 2016: 315-323 - [c64]Peng Yang, Guangxia Li, Peilin Zhao, Xiaoli Li, Sujatha Das Gollapalli:
Learning Correlative and Personalized Structure for Online Multi-Task Classification. SDM 2016: 666-674 - [c63]Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li:
Efficient Multi-Class Selective Sampling on Graphs. UAI 2016 - 2015
- [c62]Lei Liao, Fei Xue, Miao Lin, Xiaoli Li, Shonali Priyadarsini Krishnaswamy:
Human activity classification in people centric sensing exploiting sparseness measurement. ICICS 2015: 1-5 - [c61]Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juan-Zi Li, Xiaoli Li, Chao Shao, Jie Tang, Yongbin Liu:
Learning Topic Hierarchies for Wikipedia Categories. ACL (2) 2015: 346-351 - [c60]Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiaoli Li, Shonali Krishnaswamy:
Where you Instagram?: Associating Your Instagram Photos with Points of Interest. CIKM 2015: 1231-1240 - [c59]Zhipeng Xie, Liyang Jiang, Tengju Ye, Xiaoli Li:
A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning. DASFAA (2) 2015: 3-18 - [c58]Lei Hou, Juanzi Li, Xiaoli Li, Yu Su:
Measuring the Influence from User-Generated Content to News via Cross-dependence Topic Modeling. DASFAA (1) 2015: 125-141 - [c57]Linmei Hu, Juanzi Li, Xiaoli Li, Chao Shao, Xuzhong Wang:
TSDPMM: Incorporating Prior Topic Knowledge into Dirichlet Process Mixture Models for Text Clustering. EMNLP 2015: 787-792 - [c56]Sujatha Das Gollapalli, Xiaoli Li:
EMNLP versus ACL: Analyzing NLP research over time. EMNLP 2015: 2002-2006 - [c55]Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li:
Network motif discovery: A GPU approach. ICDE 2015: 831-842 - [c54]Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li:
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. ICDE 2015: 1452-1455 - [c53]Peng Yang, Peilin Zhao, Vincent W. Zheng, Xiaoli Li:
An Aggressive Graph-Based Selective Sampling Algorithm for Classification. ICDM 2015: 509-518 - [c52]Peilin Zhao, Furen Zhuang, Min Wu, Xiaoli Li, Steven C. H. Hoi:
Cost-Sensitive Online Classification with Adaptive Regularization and Its Applications. ICDM 2015: 649-658 - [c51]Lei Liao, Xiaoli Li, Andy W. H. Khong, Xin Liu:
Analysis of the noise robustness problem and a new blind channel identification algorithm. DSP 2015: 838-842 - [c50]Shukai Li, Xiaoli Li, Whye Loon Tung, Kelvin Sim:
Behaviors and Profit Based Sales Campaign Design. ICTAI 2015: 353-360 - [c49]Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, Shonali Krishnaswamy:
Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition. IJCAI 2015: 3995-4001 - [c48]Girish Kumar, Jian Min Sim, Eng Yeow Cheu, Xiaoli Li:
Stochastic least squares learning for deep architectures. IJCNN 2015: 1-7 - [c47]Dong Huang, Shuguo Han, Xiaoli Li:
Achieving Accuracy Guarantee for Answering Batch Queries with Differential Privacy. PAKDD (2) 2015: 305-316 - [c46]Xutao Li, Gao Cong, Xiaoli Li, Tuan-Anh Nguyen Pham, Shonali Krishnaswamy:
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation. SIGIR 2015: 433-442 - [c45]Dong Huang, Shuguo Han, Xiaoli Li, Philip S. Yu:
Orthogonal mechanism for answering batch queries with differential privacy. SSDBM 2015: 24:1-24:10 - 2014
- [c44]Vijay Chandrasekhar, Cheston Tan, Wu Min, Liyuan Li, Xiaoli Li, Joo-Hwee Lim:
Incremental Graph Clustering for Efficient Retrieval from Streaming Egocentric Video Data. ICPR 2014: 2631-2636 - [c43]Manoranjan Dash, Hai-Long Nguyen, Hong Cao, Ghim-Eng Yap, Minh Nhut Nguyen, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Spiros Antonatos, Yue Wang, Dang The Anh, Amy Shi Nash:
Home and Work Place Prediction for Urban Planning Using Mobile Network Data. MDM (2) 2014: 37-42 - [c42]Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash:
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling. MDM (1) 2014: 321-328 - [c41]Manoranjan Dash, Gim Guan Chua, Hai-Long Nguyen, Ghim-Eng Yap, Hong Cao, Xiaoli Li, Shonali Priyadarsini Krishnaswamy, James Decraene, Amy Shi Nash:
An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data. MDM (1) 2014: 345-348 - [c40]Heidar Davoudi, Xiaoli Li, Minh Nhut Nguyen, Shonali Priyadarsini Krishnaswamy:
Activity Recognition Using a Few Label Samples. PAKDD (1) 2014: 521-532 - [c39]Sujatha Das Gollapalli, Cornelia Caragea, Xiaoli Li, C. Lee Giles:
Document Analysis and Retrieval Tasks in Scientific Digital Libraries. RuSSIR 2014: 3-20 - [c38]Hong Cao, Chunyu Bao, Xiaoli Li, David Yew-Kwong Woon:
Class Augmented Active Learning. SDM 2014: 1-9 - 2013
- [c37]Min Wu, Xuejuan Li, Fan Zhang, Xiaoli Li, Chee Keong Kwoh, Jie Zheng:
Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer. BCB 2013: 384 - [c36]Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang:
What Users Care About: A Framework for Social Content Alignment. IJCAI 2013: 1401-1407 - 2012
- [c35]Min Wu, Chee Keong Kwoh, Jie Zheng, Xiaoli Li:
NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots. BCB 2012: 20-27 - [c34]Ghim-Eng Yap, Xiaoli Li, Philip S. Yu:
Effective Next-Items Recommendation via Personalized Sequential Pattern Mining. DASFAA (2) 2012: 48-64 - [c33]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Ensemble Based Positive Unlabeled Learning for Time Series Classification. DASFAA (1) 2012: 243-257 - [c32]Kar Leong Tew, Minh Nhut Nguyen, Sintiani Dewi Teddy, Xiaoli Li:
Real-time adaptive classification system for intelligent sensing in manufacturing environment A feasibility study. GrC 2012: 761-766 - [c31]Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li:
An integrated framework for human activity classification. UbiComp 2012: 331-340 - [c30]Hong Cao, Minh Nhut Nguyen, Clifton Phua, Shonali Krishnaswamy, Xiaoli Li:
An integrated framework for human activity recognition. UbiComp 2012: 621-622 - [c29]Zhiqiang Toh, Wenting Wang, Man Lan, Xiaoli Li:
An NER-based Product Identification and Lucene-based Product Linking Approach to CPROD1 Challenge: Description of Submission System to CPROD1 Challenge. ICDM Workshops 2012: 869-871 - [c28]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li, Jie Zheng:
Globalized bipartite local model for drug-target interaction prediction. BIOKDD 2012: 8-14 - 2011
- [c27]Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li:
Integrating Community Question and Answer Archives. AAAI 2011: 1255-1260 - [c26]Xiaoli Li, Aloysius Tan, Philip S. Yu, See-Kiong Ng:
ECODE: Event-Based Community Detection from Social Networks. DASFAA (1) 2011: 22-37 - [c25]Hong Cao, Xiaoli Li, David Yew-Kwong Woon, See-Kiong Ng:
SPO: Structure Preserving Oversampling for Imbalanced Time Series Classification. ICDM 2011: 1008-1013 - [c24]Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng:
Positive Unlabeled Leaning for Time Series Classification. IJCAI 2011: 1421-1426 - 2010
- [c23]Xiaoli Li, Lei Zhang, Bing Liu, See-Kiong Ng:
Distributional Similarity vs. PU Learning for Entity Set Expansion. ACL (2) 2010: 359-364 - [c22]Chinh T. T. Su, Stephanus Daniel Handoko, Chee Keong Kwoh, Christian Schönbach, Xiaoli Li:
A possible mutation that enables H1N1 influenza a virus to escape antibody recognition. BIBM 2010: 81-84 - [c21]Xiaoli Li, Bing Liu, See-Kiong Ng:
Negative Training Data Can be Harmful to Text Classification. EMNLP 2010: 218-228 - 2009
- [c20]Xiaoli Li, Chuan Sheng Foo, Kar Leong Tew, See-Kiong Ng:
Searching for Rising Stars in Bibliography Networks. DASFAA 2009: 288-292 - [c19]Xiaoli Li, Philip S. Yu, Bing Liu, See-Kiong Ng:
Positive Unlabeled Learning for Data Stream Classification. SDM 2009: 259-270 - 2008
- [c18]Hon Nian Chua, Kar Leong Tew, Xiaoli Li, See-Kiong Ng:
A Unified Scoring Scheme for Detecting Essential Proteins in Protein Interaction Networks. ICTAI (2) 2008: 66-73 - 2007
- [c17]Xiaoli Li, Jun-Xiang Lee, Bharadwaj Veeravalli, See-Kiong Ng:
An HV-SVM Classifier to Infer TF-TF Interactions Using Protein Domains and GO Annotations. BIBE 2007: 1360-1364 - [c16]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Classify Documents with Only a Small Positive Training Set. ECML 2007: 201-213 - [c15]Rui Xu, Xiaoli Li, Xiaomin Song, Gang Liu:
The Analysis of Bullwhip Effect in Supply Chain Based on Strategic Alliance. I3E (1) 2007: 452-458 - [c14]Xiaoli Li, Bing Liu, See-Kiong Ng:
Learning to Identify Unexpected Instances in the Test Set. IJCAI 2007: 2802-2807 - 2006
- [c13]Xiaoli Li, Cheston Yin Chet Tan, See-Kiong Ng:
Systematic Gene Function Prediction Using a Fuzzy Nearest-Cluster Method on Gene Expression Data. IMSCCS (1) 2006: 171-178 - 2005
- [c12]Xiaoli Li, Bing Liu:
Learning from Positive and Unlabeled Examples with Different Data Distributions. ECML 2005: 218-229 - [c11]Xiaoli Li, Soon-Heng Tan, See-Kiong Ng:
Protein Interaction Prediction Using Inferred Domain Interactions and Biologically-Significant Negative Dataset. ICCSA (3) 2005: 318-326 - 2004
- [c10]Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Text Classification by Labeling Words. AAAI 2004: 425-430 - [c9]Xiaoli Li, Rohit Joshi, Sreeram Ramachandaran, Tze-Yun Leong:
Classifying Biomedical Citations without Labeled Training Examples. ICDM 2004: 455-458 - [c8]Xiaoli Li, Bing Liu:
Dealing with different distributions in learning from. WWW (Alternate Track Papers & Posters) 2004: 440-441 - 2003
- [c7]Bing Liu, Yang Dai, Xiaoli Li, Wee Sun Lee, Philip S. Yu:
Building Text Classifiers Using Positive and Unlabeled Examples. ICDM 2003: 179-188 - [c6]Xiaoli Li, Bing Liu:
Learning to Classify Texts Using Positive and Unlabeled Data. IJCAI 2003: 587-594 - [c5]Lan Yi, Bing Liu, Xiaoli Li:
Eliminating noisy information in Web pages for data mining. KDD 2003: 296-305 - 2002
- [c4]Xiaoli Li, Tong-Heng Phang, Minqing Hu, Bing Liu:
Using micro information units for internet search. CIKM 2002: 566-573 - [c3]Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - [c2]Haoran Wu, Tong-Heng Phang, Bing Liu, Xiaoli Li:
A refinement approach to handling model misfit in text categorization. KDD 2002: 207-216 - 2000
- [c1]Xiaoli Li, Jimin Liu, Zhongzhi Shi:
A Document Classifier Based on Word Semantic Association. PRICAI 2000: 824
Parts in Books or Collections
- 2021
- [p2]Nhu Khue Vuong, Yong Liu, Syin Chan, Chiew Tong Lau, Zhenghua Chen, Min Wu, Xiaoli Li:
Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks. Generalization with Deep Learning 2021: 279-301 - 2014
- [p1]Xiaoli Li, Bing Liu:
Rule-Based Classification. Data Classification: Algorithms and Applications 2014: 121-156
Editorship
- 2021
- [e2]Zhenghua Chen, Min Wu, Xiaoli Li:
Generalization with Deep Learning: For Improvement on Sensing Capability. WorldScientific 2021, ISBN 9789811218835 [contents] - 2015
- [e1]Xiaoli Li, Tru H. Cao, Ee-Peng Lim, Zhi-Hua Zhou, Tu Bao Ho, David Wai-Lok Cheung, Hiroshi Motoda:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH, Ho Chi Minh City, Vietnam, May 19-21, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9441, Springer 2015, ISBN 978-3-319-25659-7 [contents]
Reference Works
- 2009
- [r1]Xiaoli Li:
Positive Unlabelled Learning for Document Classification. Encyclopedia of Data Warehousing and Mining 2009: 1552-1557
Informal and Other Publications
- 2024
- [i57]Quang Pham, Giang Do, Huy Nguyen, TrungTin Nguyen, Chenghao Liu, Mina Sartipi, Binh T. Nguyen, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi, Nhat Ho:
CompeteSMoE - Effective Training of Sparse Mixture of Experts via Competition. CoRR abs/2402.02526 (2024) - [i56]J. Senthilnath, Adithya Bhattiprolu, Ankur Singh, Bangjian Zhou, Min Wu, Jón Atli Benediktsson, Xiaoli Li:
Evolving Restricted Boltzmann Machine-Kohonen Network for Online Clustering. CoRR abs/2402.09167 (2024) - [i55]J. Senthilnath, Bangjian Zhou, Zhen Wei Ng, Deeksha Aggarwal, Rajdeep Dutta, Ji Wei Yoon, Aye Phyu Phyu Aung, Keyu Wu, Min Wu, Xiaoli Li:
Self-evolving Autoencoder Embedded Q-Network. CoRR abs/2402.11604 (2024) - [i54]Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang:
Generative Semi-supervised Graph Anomaly Detection. CoRR abs/2402.11887 (2024) - 2023
- [i53]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Label-efficient Time Series Representation Learning: A Review. CoRR abs/2302.06433 (2023) - [i52]Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li:
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. CoRR abs/2303.10451 (2023) - [i51]Xiyu Wang, Yuecong Xu, Jianfei Yang, Kezhi Mao, Xiaoli Li, Zhenghua Chen:
Confidence Attention and Generalization Enhanced Distillation for Continuous Video Domain Adaptation. CoRR abs/2303.10452 (2023) - [i50]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. CoRR abs/2305.03299 (2023) - [i49]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection. CoRR abs/2305.04181 (2023) - [i48]Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu:
S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. CoRR abs/2305.07367 (2023) - [i47]Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li:
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction. CoRR abs/2305.08316 (2023) - [i46]Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen:
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data. CoRR abs/2307.03347 (2023) - [i45]Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen:
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data. CoRR abs/2307.07542 (2023) - [i44]Ruibing Jin, Guosheng Lin, Min Wu, Jie Lin, Zhengguo Li, Xiaoli Li, Zhenghua Chen:
Unlimited Knowledge Distillation for Action Recognition in the Dark. CoRR abs/2308.09327 (2023) - [i43]Kaixin Xu, Zhe Wang, Xue Geng, Jie Lin, Min Wu, Xiaoli Li, Weisi Lin:
Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. CoRR abs/2308.10438 (2023) - [i42]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Graph Contextual Contrasting for Multivariate Time Series Classification. CoRR abs/2309.05202 (2023) - [i41]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data. CoRR abs/2309.05305 (2023) - [i40]Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation. CoRR abs/2311.10806 (2023) - [i39]Giang Do, Khiem Le, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Bint T. Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi:
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. CoRR abs/2312.07035 (2023) - 2022
- [i38]Yuecong Xu, Jianfei Yang, Haozhi Cao, Jianxiong Yin, Zhenghua Chen, Xiaoli Li, Zhengguo Li, Qianwen Xu:
Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study. CoRR abs/2202.09545 (2022) - [i37]Mohamed Ragab, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data. CoRR abs/2203.08321 (2022) - [i36]Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan:
Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs. CoRR abs/2205.00782 (2022) - [i35]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i34]Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen:
EXTERN: Leveraging Endo-Temporal Regularization for Black-box Video Domain Adaptation. CoRR abs/2208.05187 (2022) - [i33]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification. CoRR abs/2208.06616 (2022) - [i32]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation. CoRR abs/2210.06286 (2022) - [i31]Yuecong Xu, Haozhi Cao, Zhenghua Chen, Xiaoli Li, Lihua Xie, Jianfei Yang:
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey. CoRR abs/2211.10412 (2022) - [i30]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li:
CoTMix: Contrastive Domain Adaptation for Time-Series via Temporal Mixup. CoRR abs/2212.01555 (2022) - [i29]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. CoRR abs/2212.02068 (2022) - 2021
- [i28]Yuxiao Lu, Jie Lin, Chao Jin, Zhe Wang, Khin Mi Mi Aung, Xiaoli Li:
FFConv: Fast Factorized Neural Network Inference on Encrypted Data. CoRR abs/2102.03494 (2021) - [i27]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR abs/2102.08577 (2021) - [i26]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. CoRR abs/2105.04271 (2021) - [i25]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
RST Parsing from Scratch. CoRR abs/2105.10861 (2021) - [i24]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu:
Global Context Enhanced Graph Neural Networks for Session-based Recommendation. CoRR abs/2106.05081 (2021) - [i23]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Time-Series Representation Learning via Temporal and Contextual Contrasting. CoRR abs/2106.14112 (2021) - [i22]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
A Conditional Splitting Framework for Efficient Constituency Parsing. CoRR abs/2106.15760 (2021) - [i21]Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan:
Adversarial Domain Adaptation with Self-Training for EEG-based Sleep Stage Classification. CoRR abs/2107.04470 (2021) - [i20]Peisheng Qian, Ziyuan Zhao, Cong Chen, Zeng Zeng, Xiaoli Li:
Two Eyes Are Better Than One: Exploiting Binocular Correlation for Diabetic Retinopathy Severity Grading. CoRR abs/2108.06763 (2021) - [i19]Mohamed Ragab, Emadeldeen Eldele, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Xiaoli Li:
Self-supervised Autoregressive Domain Adaptation for Time Series Data. CoRR abs/2111.14834 (2021) - 2020
- [i18]Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li:
Multi-View Collaborative Network Embedding. CoRR abs/2005.08189 (2020) - [i17]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Efficient Constituency Parsing by Pointing. CoRR abs/2006.13557 (2020) - [i16]Thanh-Tung Nguyen, Xuan-Phi Nguyen, Shafiq R. Joty, Xiaoli Li:
Differentiable Window for Dynamic Local Attention. CoRR abs/2006.13561 (2020) - [i15]Mohamed Ragab, Zhenghua Chen, Min Wu, Chee-Keong Kwoh, Ruqiang Yan, Xiaoli Li:
Attention Sequence to Sequence Model for Machine Remaining Useful Life Prediction. CoRR abs/2007.09868 (2020) - [i14]Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li:
Recent Advances in Network-based Methods for Disease Gene Prediction. CoRR abs/2007.10848 (2020) - [i13]Ziyuan Zhao, Kartik Chopra, Zeng Zeng, Xiaoli Li:
Sea-Net: Squeeze-And-Excitation Attention Net For Diabetic Retinopathy Grading. CoRR abs/2010.15344 (2020) - [i12]Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng:
Exploring Global Information for Session-based Recommendation. CoRR abs/2011.10173 (2020) - [i11]Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng:
Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation. CoRR abs/2012.05422 (2020) - 2018
- [i10]Tran Dang Quang Vinh, Tuan-Anh Nguyen Pham, Gao Cong, Xiao-Li Li:
Attention-based Group Recommendation. CoRR abs/1804.04327 (2018) - [i9]Bo Zhang, Wei Li, Jie Hao, Xiao-Li Li, Meng Zhang:
Adversarial adaptive 1-D convolutional neural networks for bearing fault diagnosis under varying working condition. CoRR abs/1805.00778 (2018) - [i8]Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li:
Hyperbolic Recommender Systems. CoRR abs/1809.01703 (2018) - [i7]Yong Liu, Min Wu, Chenghao Liu, Xiaoli Li, Jie Zheng:
SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. CoRR abs/1810.08726 (2018) - 2016
- [i6]Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Xiaoli Li:
Learning Optimal Social Dependency for Recommendation. CoRR abs/1603.04522 (2016) - [i5]Honghai Yu, Pierre Moulin, Hong Wei Ng, Xiaoli Li:
Variable-Length Hashing. CoRR abs/1603.05414 (2016) - [i4]Sujatha Das Gollapalli, Xiaoli Li:
Keyphrase Extraction using Sequential Labeling. CoRR abs/1608.00329 (2016) - [i3]Yangtao Wang, Lihui Chen, Xiaoli Li:
Incremental Minimax Optimization based Fuzzy Clustering for Large Multi-view Data. CoRR abs/1608.07001 (2016) - 2015
- [i2]Jian-Ping Mei, Chee Keong Kwoh, Peng Yang, Xiaoli Li:
Classification and its application to drug-target interaction prediction. CoRR abs/1502.04469 (2015) - 2014
- [i1]Peng Yang, Xiaoquan Su, Le Ou-Yang, Hon Nian Chua, Xiaoli Li, Kang Ning:
Microbial community pattern detection in human body habitats via ensemble clustering framework. CoRR abs/1412.7384 (2014)
Coauthor Index
[j100] [j98] [j97] [j96] [j94] [j91] [j89] [j83] [j81] [j79] [j77] [j76] [j74] [j72] [j67] [j66] [j65] [j64] [j63] [j58] [j57] [j52] [j51] [j50] [j49] [j48] [j47] [j34] [c137] [c132] [c129] [c127] [c126] [c112] [c111] [c101] [c99] [c97] [c93] [p2] [e2] [i53] [i52] [i51] [i46] [i45] [i44] [i42] [i41] [i40] [i38] [i37] [i35] [i34] [i33] [i32] [i31] [i30] [i23] [i21] [i19] [i15]
Shonali Krishnaswamy
aka: Shonali Priyadarsini Krishnaswamy
aka: Shonali Priyadarsini Krishnaswamy
J. Senthilnath 0001
aka: Senthilnath Jayavelu
aka: Senthilnath Jayavelu
[j98] [j97] [j96] [j94] [j93] [j91] [j89] [j83] [j81] [j79] [j77] [j76] [j75] [j74] [j72] [j69] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j58] [j57] [j52] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j41] [j40] [j35] [j34] [j32] [j26] [j25] [j22] [j21] [j20] [j18] [j17] [j16] [j10] [j8] [j6] [j5] [c137] [c132] [c131] [c129] [c127] [c126] [c112] [c111] [c103] [c101] [c99] [c97] [c93] [c91] [c77] [c71] [c52] [c37] [c35] [p2] [e2] [i56] [i55] [i53] [i52] [i46] [i45] [i44] [i43] [i42] [i41] [i40] [i37] [i35] [i34] [i33] [i32] [i30] [i23] [i21] [i19] [i18] [i15] [i14] [i7] [i6]
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