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Hongyan Li 0002
Person information
- affiliation: Peking University, School of Electronics Engineering and Computer Science, Beijing, China
- affiliation: Peking University, Key Laboratory of Machine Perception (Ministry of Education), Beijing, China
Other persons with the same name
- Hongyan Li — disambiguation page
- Hongyan Li 0001
— Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Hongyan Li 0003
- Hongyan Li 0004
- Hongyan Li 0005
- Hongyan Li 0006
- Hongyan Li 0007 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Hongyan Li 0008 — Shandong University of Technology, Department of Transport Engineering, Zibo, China
- Hongyan Li 0009 — Changsha Medical University, School of Information Engineering, Changsha, China
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2020 – today
- 2024
- [j16]Chenxi Sun
Time pattern reconstruction for classification of irregularly sampled time series. Pattern Recognit. 147: 110075 (2024) - [j15]Chenxi Sun
A Systematic Review of Echo State Networks From Design to Application. IEEE Trans. Artif. Intell. 5(1): 23-37 (2024) - [j14]Chenxi Sun
A Ranking-Based Cross-Entropy Loss for Early Classification of Time Series. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11194-11203 (2024) - [c66]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR 2024 - [c65]Jingwei Liu, Hongyan Li, Shenda Hong:
Synthesis of Standard 12-Lead ECG from Single-Lead ECG Using Shifted Diffusion Models. ECML/PKDD (9) 2024: 271-286 - [i14]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curriculum Design Helps Spiking Neural Networks to Classify Time Series. CoRR abs/2401.10257 (2024) - [i13]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR abs/2404.16886 (2024) - 2023
- [j13]Chenxi Sun
Adaptive model training strategy for continuous classification of time series. Appl. Intell. 53(15): 18821-18839 (2023) - [j12]Moxian Song
SPL-LDP: a label distribution propagation method for semi-supervised partial label learning. Appl. Intell. 53(18): 20785-20796 (2023) - [j11]Chenxi Sun
Continuous diagnosis and prognosis by controlling the update process of deep neural networks. Patterns 4(2): 100687 (2023) - [i12]Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR abs/2308.08241 (2023) - [i11]Chenxi Sun, Hongyan Li, Moxian Song, Derun Cai, Shenda Hong:
Curricular and Cyclical Loss for Time Series Learning Strategy. CoRR abs/2312.15853 (2023) - 2022
- [j10]Moxian Song, Chenxi Sun
Classifying vaguely labeled data based on evidential fusion. Inf. Sci. 583: 159-173 (2022) - [j9]Moxian Song, Hongyan Li, Chenxi Sun
Dlsa: Semi-supervised partial label learning via dependence-maximized label set assignment. Inf. Sci. 609: 1169-1180 (2022) - [c64]Derun Cai, Moxian Song, Chenxi Sun
Deep Ordinal Neural Network for Length of Stay Estimation in the Intensive Care Units. CIKM 2022: 3843-3847 - [c63]Chenxi Sun
Confidence-Guided Learning Process for Continuous Classification of Time Series. CIKM 2022: 4525-4529 - [c62]Derun Cai, Moxian Song, Chenxi Sun
Hypergraph Structure Learning for Hypergraph Neural Networks. IJCAI 2022: 1923-1929 - [c61]Derun Cai, Chenxi Sun, Moxian Song, Baofeng Zhang, Shenda Hong, Hongyan Li:
Hypergraph Contrastive Learning for Electronic Health Records. SDM 2022: 127-135 - [c60]Yen-hsiu Chou, Shenda Hong, Chenxi Sun
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. SDM 2022: 451-458 - [i10]Chenxi Sun, Moxian Song, Derun Cai, Baofeng Zhang, Shenda Hong, Hongyan Li:
Confidence-Guided Learning Process for Continuous Classification of Time Series. CoRR abs/2208.06883 (2022) - [i9]Chenxi Sun
Continuous Diagnosis and Prognosis by Controlling the Update Process of Deep Neural Networks. CoRR abs/2210.02719 (2022) - 2021
- [j8]Chenxi Sun
Personalized vital signs control based on continuous action-space reinforcement learning with supervised experience. Biomed. Signal Process. Control. 69: 102847 (2021) - [j7]Chenxi Sun
Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning. BMC Medical Informatics Decis. Mak. 21(1): 45 (2021) - [j6]Chenxi Sun
Interpretable time-aware and co-occurrence-aware network for medical prediction. BMC Medical Informatics Decis. Mak. 21(1): 305 (2021) - [c59]Chenxi Sun
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. IJCAI 2021: 3010-3016 - [i8]Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li:
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data. CoRR abs/2105.00412 (2021) - [i7]Yen-hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li:
GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization. CoRR abs/2108.13858 (2021) - 2020
- [j5]Yen-hsiu Chou, Shenda Hong, Yuxi Zhou
Knowledge-shot learning: An interpretable deep model for classifying imbalanced electrocardiography data. Neurocomputing 417: 64-73 (2020) - [j4]Yipeng Chen, Qiang Qu
Semantics-aware influence maximization in social networks. Inf. Sci. 513: 442-464 (2020) - [j3]Yuxi Zhou
Addressing Noise and Skewness in Interpretable Health-Condition Assessment by Learning Model Confidence. Sensors 20(24): 7307 (2020) - [i6]Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li:
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data. CoRR abs/2010.12493 (2020) - [i5]Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li:
A Review of Designs and Applications of Echo State Networks. CoRR abs/2012.02974 (2020)
2010 – 2019
- 2019
- [j2]Yongyue Sun, Hongyan Li, Jinbo Zhang:
RAISE: 一种高效的社交网络影响成本最小化算法 (RAISE: Efficient Influence Cost Minimizing Algorithm in Social Network). 计算机科学 46(9): 59-65 (2019) - [c58]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. AAAI 2019: 1126-1133 - [c57]Yongyue Sun, Qingyun Wang, Hongyan Li:
AERIAL: An Efficient Randomized Incentive-Based Influence Maximization Algorithm. APWeb/WAIM (1) 2019: 240-254 - [c56]Shenda Hong, Cao Xiao, Tengfei Ma
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. IJCAI 2019: 5888-5894 - [c55]Shenda Hong, Cao Xiao, Trong Nghia Hoang, Tengfei Ma
RDPD: Rich Data Helps Poor Data via Imitation. IJCAI 2019: 5895-5901 - [c54]Yuxi Zhou
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection. IJCAI 2019: 6057-6063 - [i4]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals. CoRR abs/1905.11333 (2019) - 2018
- [c53]Yipeng Chen, Hongyan Li, Qiang Qu:
Negative-Aware Influence Maximization on Social Networks. AAAI 2018: 8063-8064 - [c52]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. AAAI 2018: 8109-8110 - [c51]Junyuan Shang, Shenda Hong, Yuxi Zhou
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. ACML 2018: 831-846 - [i3]Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination. CoRR abs/1809.01852 (2018) - [i2]Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun:
RDPD: Rich Data Helps Poor Data via Imitation. CoRR abs/1809.01921 (2018) - 2017
- [c50]Ning Yin, Hongyan Li, Hanchen Su:
CLR: coupled logistic regression model for CTR prediction. ACM TUR-C 2017: 21:1-21:9 - [c49]Shenda Hong, Meng Wu, Hongyan Li, Zhengwu Wu:
Event2vec: Learning Representations of Events on Temporal Sequences. APWeb/WAIM (2) 2017: 33-47 - [c48]Shenda Hong, Meng Wu, Yuxi Zhou
ENCASE: an ENsemble ClASsifiEr for ECG Classification Using Expert Features and Deep Neural Networks. CinC 2017 - [c47]Jinbo Zhang, Shenda Hong, Yiyong Lin, Yanchao Mou, Hongyan Li:
Finding the Typical Communication Black Hole in Big Data Environment. DMBD 2017: 255-262 - [c46]Jinbo Zhang, Yipeng Chen, Shenda Hong, Hongyan Li:
REBUILD: Graph Embedding Based Method for User Social Role Identity on Mobile Communication Network. DMBD 2017: 326-333 - [c45]Shenda Hong, Meng Wu, Jinbo Zhang, Hongyan Li:
Assessing Death Risk of Patients with Cardiovascular Disease from Long-Term Electrocardiogram Streams Summarization. PAKDD (1) 2017: 671-682 - [i1]Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li:
Generative Adversarial Network for Abstractive Text Summarization. CoRR abs/1711.09357 (2017) - 2016
- [c44]Shenda Hong, Zhen Qiu, Jinbo Zhang, Hongyan Li:
Combining Multiple Concurrent Physiological Streams to Assessing Patients Condition. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c43]Zhen Qiu, Feifei Li, Shenda Hong, Hongyan Li:
A Novel Method for Mining Semantics from Patterns over ECG Data. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI 2016 - [c42]Meng Wu, Zhen Qiu, Shenda Hong, Hongyan Li:
Real-Time Anomaly Detection over ECG Data Stream Based on Component Spectrum. APWeb (2) 2016: 56-67 - [c41]Yiyong Lin, Jinbo Zhang, Yuanxiang Ying, Shenda Hong, Hongyan Li:
FVBM: A Filter-Verification-Based Method for Finding Top-k Closeness Centrality on Dynamic Social Networks. APWeb (2) 2016: 389-392 - [c40]Biwei Liang, Tengjiao Wang, Shun Li, Wei Chen, Hongyan Li, Kai Lei:
Online Learning for Accurate Real-Time Map Matching. PAKDD (2) 2016: 67-78 - [c39]Ning Yin, Shanshan Wang, Hongyan Li, Lilue Fan:
Detecting Data-model-oriented Anomalies in Parallel Business Process. WAIM (2) 2016: 65-77 - [c38]Yipeng Chen, Hongyan Li, Jinbo Zhang, Gaoshan Miao:
Inferring Social Roles of Mobile Users Based on Communication Behaviors. WAIM (1) 2016: 402-414 - 2015
- [c37]Di Wu, Tengjiao Wang, Yuxin Chen, Shun Li, Hongyan Li, Kai Lei:
An Adaptive Skew Handling Join Algorithm for Large-scale Data Analysis. WAIM 2015: 433-437 - 2014
- [c36]Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li:
A Segment-Wise Method for Pseudo Periodic Time Series Prediction. ADMA 2014: 461-474 - [c35]Wenjing Liao, Tengjiao Wang, Hongyan Li, Dongqing Yang, Zhen Qiu, Kai Lei:
An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. APWeb 2014: 494-502 - [c34]Xu Cheng, Hongyan Li, Yue Wang, Tengjiao Wang, Dongqing Yang:
BF-Matrix: A Secondary Index for the Cloud Storage. WAIM 2014: 384-396 - [c33]Zhen Qiu, Hongyan Li, Shenda Hong, Yiyong Lin, Nana Fan, Gaoyan Ou, Tengjiao Wang, Lilue Fan:
Finding Vacant Taxis Using Large Scale GPS Traces. WAIM 2014: 793-804 - 2013
- [c32]Zhen Qiu, Hongyan Li, Hanchen Su, Gaoyan Ou, Tengjiao Wang:
Logistic Regression Bias Correction for Large Scale Data with Rare Events. ADMA (2) 2013: 133-144 - [c31]Yan Tang, Hongyan Li, Feifei Li, Lilue Fan:
An effective method to analyze variations of high-dimensional patterns over medical streams. BIBM 2013: 33-39 - [c30]Hanchen Su, Hongyan Li, Xu Cheng, Zhiqiang Liu:
Dynamic Table: A Scalable Storage Structure in the Cloud. WAIM Workshops 2013: 327-338 - 2012
- [c29]Cheng Ju, Hongyan Li, Feifei Li:
PCG: An Efficient Method for Composite Pattern Matching over Data Streams. ADMA 2012: 488-501 - [c28]Yan Tang, Hongyan Li, Feifei Li, Gaoshan Miao:
VS-Cube: Analyzing Variations of Multi-dimensional Patterns over Data Streams. ADMA 2012: 779-792 - [c27]Yan Tang, Feifei Li, Hongyan Li:
Mining scalable pattern based on temporal logic over data streams. FSKD 2012: 1150-1154 - [c26]Chunyang Wei, Hongyan Li, Kai Lei, Tengjiao Wang:
Efficient cube computing on an extended multidimensional model over uncertain data. FSKD 2012: 1372-1376 - [c25]Linqing Wang, Jun Gao, Tengjiao Wang, Hongyan Li:
A cost aware adaptive multiple table join evaluation in MapReduce. FSKD 2012: 2437-2441 - [c24]Xu Cheng, Biping Meng, Yuxin Chen, Peng Zhao, Hongyan Li, Tengjiao Wang, Dongqing Yang:
Dynamic Table: A Layered and Configurable Storage Structure in the Cloud. WAIM Workshops 2012: 204-215 - 2011
- [c23]Qiang Qu, Feida Zhu
Efficient Topological OLAP on Information Networks. DASFAA (1) 2011: 389-403 - 2010
- [c22]Miao Zou, Tengjiao Wang, Hongyan Li, Dongqing Yang:
A General Multi-relational Classification Approach Using Feature Generation and Selection. ADMA (2) 2010: 21-33 - [c21]Gaoshan Miao, Hongyan Li, Tengjiao Wang:
A Heuristic Method for Unstructured Pattern Management over Data Streams. APWeb 2010: 468-471 - [c20]Xueqiang Wang, Jing Wang, Tengjiao Wang, Hongyan Li, Dongqing Yang:
Parallel sequential pattern mining by transaction decomposition. FSKD 2010: 1746-1750 - [c19]Xu Cheng, Qingjie Lu, Lian He, Hongyan Li, Tengjiao Wang, Dongqing Yang:
Communities discovery in mobile call records. FSKD 2010: 2541-2545 - [c18]Zhiqiang Liu, Hongyan Li, Gaoshan Miao:
MapReduce-based Backpropagation Neural Network over large scale mobile data. ICNC 2010: 1726-1730
2000 – 2009
- 2009
- [c17]Feifei Li, Hongyan Li, Qiang Qu:
Composite Pattern Query Expression over Medical Data Streams. BMEI 2009: 1-5 - [c16]Qiang Qu, Hongyan Li, Lei Wang, Gaoshan Miao, Xin Wei:
Online Constrained Pattern Detection over Streams. FSKD (5) 2009: 66-70 - [c15]Lei Wang, Hongyan Li, Qiang Qu, Huaqiang Zhang, Bin Zhou:
Verifying the Consistency between Business Process Model and Data Model. JCAI 2009: 171-174 - 2008
- [j1]Lu-An Tang, Bin Cui
PGG: An Online Pattern Based Approach for Stream Variation Management. J. Comput. Sci. Technol. 23(4): 497-515 (2008) - [c14]Xin Wei, Hongyan Li, Gaoshan Miao, Xinbiao Zhou:
Diversity-Based Load Shedding Strategy over Pattern Streams. CSSE (4) 2008: 635-638 - [c13]Xinbiao Zhou, Gaoshan Miao, Hongyan Li, Xin Wei, Lv-an Tang:
PEDS-VM: A Variation Management Prototype for Pattern Evolving Data Streams. WAIM 2008: 469-470 - 2007
- [c12]Lv-an Tang, Bin Cui
Effective variation management for pseudo periodical streams. SIGMOD Conference 2007: 257-268 - 2006
- [c11]Lv-an Tang, Hongyan Li, Baojun Qiu, Meimei Li, Jianjun Wang, Lei Wang, Bin Zhou, Dongqing Yang, Shiwei Tang:
WISE: A Prototype for Ontology Driven Development of Web Information Systems. APWeb 2006: 1163-1167 - [c10]Yu Fan, Hongyan Li, Zijing Hu, Jianlong Gao, Haibin Liu, Shiwei Tang, Xinbiao Zhou:
DSEC: A Data Stream Engine Based Clinical Information System. APWeb 2006: 1168-1172 - [c9]Xinbiao Zhou, Hongyan Li, Haibin Liu, Meimei Li, Lv-an Tang, Yu Fan, Zijing Hu:
Monitoring Abnormal Patterns with Complex Semantics over ICU Data Streams. IWICPAS 2006: 185-194 - [c8]Meimei Li, Hongyan Li, Lv-an Tang, Baojun Qiu:
DOPA: A Data-Driven and Ontology-Based Method for Ad Hoc Process Awareness in Web Information Systems. WISE 2006: 114-125 - 2005
- [c7]Lv-an Tang, Hongyan Li, Zhiyong Pan, Shaohua Tan, Baojun Qiu, Shiwei Tang, Jianjun Wang:
PODWIS: A Personalized Tool for Ontology Development in Domain Specific Web Information System. APWeb 2005: 680-694 - [c6]Zijing Hu, Hongyan Li, Baojun Qiu, Lv-an Tang, Yu Fan, Haibin Liu, Jianlong Gao, Xinbiao Zhou:
Using Control Theory to Guide Load Shedding in Medical Data Stream Management System. ASIAN 2005: 236-248 - [c5]Ting Yin, Hongyan Li, Zijing Hu, Yu Fan, Jianlong Gao, Shiwei Tang:
A Hybrid Method for Detecting Data Stream Changes with Complex Semantics in Intensive Care Unit. ASIAN 2005: 284-285 - [c4]Baojun Qiu, Hongyan Li, Zijing Hu, Dongqing Yang, Lv-an Tang, Jianjun Wang, Meimei Li, Shiwei Tang:
General Consistency Management Within the Development of Ontology-Driven Web Information System. ASIAN 2005: 290-291 - [c3]Lv-an Tang, Hongyan Li, Zhiyong Pan, Dongqing Yang, Meimei Li, Shiwei Tang, Ying Ying:
An Ontology Based Approach to Construct Behaviors in Web Information Systems. WAIM 2005: 194-208 - [c2]Hongyan Li, Ming Xue, Jianjun Wang, Shiwei Tang, Dongqing Yang:
Understanding User Operations on Web Page in WISE. WAIM 2005: 846-851 - 2001
- [c1]Hongyan Li, Shiwei Tang, Dongqing Yang, Yi Yu:
An XML Based Electronic Medical Record Integration System. WAIM 2001: 160-167
Coauthor Index
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last updated on 2024-11-15 19:25 CET by the dblp team
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