Li Li

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 74

Top Venues

Publications

Guochuan Xian, Siyuan Du, Xi Tang, Yuan Shi, Bofang Jia, Banghao Tang, Zhefu Leng, Li Li
DLEE: a dataset for Chinese document-level legal event extraction. Neural Comput. Appl. 36 (25) (2024)
Haoran Zhang, Li Li
Fusing semantic information for syntax-guided paraphrase generation. Neurocomputing 597 (2024)
Wei Li, Shiyu Zhu, Li Li
Leveraging Knowledge-Aware Method for Charge Prediction. CSCWD (2023)
Li Li, Yong Wang, Shuming Cheng, Lijun Liu
Learning Quantum Distributions Based on Normalizing Flow. SMC (2023)
Wei Li, Li Li
Leveraging Task Dependencies and Label Constraints for Legal Judgment Prediction. IJCNN (2023)
Pengju Shuai, Li Li, Sishun Liu, Jun Shen
QDG: A unified model for automatic question-distractor pairs generation. Appl. Intell. 53 (7) (2023)
Haoran Zhang, Li Li
HCPG: a highlighted contrastive learning framework for exemplar-guided paraphrase generation. Neural Comput. Appl. 35 (23) (2023)
Hanyue Zhang, Li Li, Jun Shen
PGLR: Pseudo Graph and Label Reuse for Entity Relation Extraction. IJCNN (2023)
Shuaishuai Zu, Li Li, Jun Shen
CAKT: Coupling contrastive learning with attention networks for interpretable knowledge tracing. IJCNN (2023)
Shuaishuai Zu, Chuyu Wang, Yafei Liu, Jun Shen, Li Li
Contrastive Learning Augmented Graph Auto-Encoder. ICONIP (11) (2023)
Geng Sun, Wei Wei, Tingru Cui, Dongming Xu, Shiping Chen, Alex Shvonski, Li Li, Jun Shen, Soheila Garshasbi
Adapting New Learners and New Resources to Micro Open Learning via Online Computation. IEEE Trans. Comput. Soc. Syst. 9 (6) (2022)
Deng-Bao Wang, Min-Ling Zhang, Li Li
Adaptive Graph Guided Disambiguation for Partial Label Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Jiayin Lin, Geng Sun, Jun Shen, David E. Pritchard, Ping Yu, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun
From computer vision to short text understanding: Applying similar approaches into different disciplines. Intell. Converged Networks 3 (2) (2022)
Senlin Shu, Fengmao Lv, Yan Yan, Li Li, Shuo He, Jun He
Incorporating multiple cluster centers for multi-label learning. Inf. Sci. 590 (2022)
Sishun Liu, Li Li
Learning general temporal point processes based on dynamic weight generation. Appl. Intell. 52 (4) (2022)
Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Ping Yu, Tingru Cui, Li Li, Ghassan Beydoun
MOOC Student Dropout Rate Prediction via Separating and Conquering Micro and Macro Information. ICONIP (6) (2021)
Pengju Shuai, Zixi Wei, Sishun Liu, Xiaofei Xu, Li Li
Topic Enhanced Multi-head Co-Attention: Generating Distractors for Reading Comprehension. IJCNN (2021)
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
Can Cross Entropy Loss Be Robust to Label Noise? IJCAI (2020)
Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, David Pritchard, Dongming Xu, Li Li, Wei Wei, Ghassan Beydoun, Shiping Chen
Attention-Based High-Order Feature Interactions to Enhance the Recommender System for Web-Based Knowledge-Sharing Service. WISE (1) (2020)
Jiayin Lin, Geng Sun, Tingru Cui, Jun Shen, Dongming Xu, Ghassan Beydoun, Ping Yu, David Pritchard, Li Li, Shiping Chen
From ideal to reality: segmentation, annotation, and recommendation, the vital trajectory of intelligent micro learning. World Wide Web 23 (3) (2020)
Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun
Deep Sequence Labelling Model for Information Extraction in Micro Learning Service. IJCNN (2020)
Nan Zhang, Ye Du, Ke Deng, Li Li, Jun Shen, Geng Sun
Attention-Based Knowledge Tracing with Heterogeneous Information Network Embedding. KSEM (1) (2020)
Sishun Liu, Pengju Shuai, Xiaowu Zhang, Shuang Chen, Li Li, Ming Liu
Fine-Tuned Transformer Model for Sentiment Analysis. KSEM (2) (2020)
Kexin Huang, Ye Du, Li Li, Jun Shen, Geng Sun
Pairwise-Based Hierarchical Gating Networks for Sequential Recommendation. KSEM (2) (2020)
Senlin Shu, Fengmao Lv, Lei Feng, Jun Huang, Shuo He, Jun He, Li Li
Incorporating Multiple Cluster Centers for Multi-Label Learning. CoRR (2020)
Jiayin Lin, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun, Shiping Chen
Deep-Cross-Attention Recommendation Model for Knowledge Sharing Micro Learning Service. AIED (2) (2020)
Senlin Shu, Zhuoyi Lin, Yan Yan, Li Li
Learning from Multi-Class Positive and Unlabeled Data. ICDM (2020)
Zhanbo Yang, Li Li, Jun He, Zixi Wei, Li Liu, Jun Liao
Multimodal Learning with Triplet Ranking Loss for Visual Semantic Embedding Learning. KSEM (1) (2019)
Xiaofei Xu, Ke Deng, Fei Hu, Li Li
An Improved Historical Embedding without Alignment. CoRR (2019)
Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li
A Survey of Segmentation, Annotation, and Recommendation Techniques in Micro Learning for Next Generation of OER. CSCWD (2019)
Fei Hu, Xiaofei Xu, Li Li
Identifying word evolution by incorporating PoS and avoiding alignment of temporal words. Appl. Soft Comput. 85 (2019)
Deng-Bao Wang, Li Li, Min-Ling Zhang
Adaptive Graph Guided Disambiguation for Partial Label Learning. KDD (2019)
Kexin Huang, Yukun Cao, Ye Du, Li Li, Li Liu, Jun Liao
Social-Aware and Sequential Embedding for Cold-Start Recommendation. KSEM (1) (2019)
Jiayin Lin, Geng Sun, Jun Shen, Tingru Cui, Ping Yu, Dongming Xu, Li Li, Ghassan Beydoun
Towards the Readiness of Learning Analytics Data for Micro Learning. SCC (2019)
Xiaofei Xu, Yukun Cao, Li Li
Exploring Semantic Change of Chinese Word Using Crawled Web Data. ICWE (2019)
Jingyuan Wang, Yukun Cao, Ye Du, Li Li
DST: A Deep Urban Traffic Flow Prediction Framework Based on Spatial-Temporal Features. KSEM (1) (2019)
Fei Hu, Li Li, Xiaofei Xu, Jingyuan Wang, Jinjing Zhang
Opinion extraction by distinguishing term dependencies and digging deep text features. Neural Comput. Appl. 31 (9) (2019)
Fei Hu, Wei Liu, Ajmal Saeed Mian, Li Li
Diversifying Topic-Coherent Response Generation for Natural Multi-turn Conversations. CoRR (2019)
Shuo He, Ke Deng, Li Li, Senlin Shu, Li Liu
Discriminatively Relabel for Partial Multi-label Learning. ICDM (2019)
Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang, Yanbin Chen
An adaptive mechanism to achieve learning rate dynamically. Neural Comput. Appl. 31 (10) (2019)
Fei Hu, Xiaofei Xu, Tao Peng, Changjiu Pu, Li Li
A fast pseudo-stochastic sequential cipher generator based on RBMs. Neural Comput. Appl. 30 (4) (2018)
Yong Wang, Jingyuan Wang, Li Li
Enhancing Long Tail Recommendation Based on User's Experience Evolution. CSCWD (2018)
Jinjing Zhang, Fei Hu, Xiaofei Xu, Li Li
Stochastic gradient descent with variance reduction technique. Web Intell. 16 (3) (2018)
Dengbao Wang, Li Li, Jingyuan Wang, Fei Hu, Xiuzhen Zhang
Extracting Label Importance Information for Multi-label Classification. DASFAA (2) (2018)
Jingyuan Wang, Xiaofei Xu, Jun He, Li Li
P-DBL: A Deep Traffic Flow Prediction Architecture Based on Trajectory Data. KSEM (2) (2018)
Shuo He, Lei Feng, Li Li
Estimating Latent Relative Labeling Importances for Multi-label Learning. ICDM (2018)
Dengbao Wang, Jingyuan Wang, Fei Hu, Li Li, Xiuzhen Zhang
A Locally Adaptive Multi-Label k-Nearest Neighbor Algorithm. PAKDD (1) (2018)
Xiaofei Xu, Li Li, Jinjing Zhang, Jing Wang, Shuo He
Content tracking by leveraging hashtag and time information in Twitter social media. Web Intell. 16 (2) (2018)
Yukun Cao, Xiaofei Xu, Ye Du, Jun He, Li Li
Hybrid Decision Based Chinese News Headline Classification. APWeb/WAIM Workshops (2018)
Jingyuan Wang, Fei Hu, Xiaofei Xu, Dengbao Wang, Li Li
A Deep Prediction Model of Traffic Flow Considering Precipitation Impact. IJCNN (2018)
Jingyuan Wang, Fei Hu, Li Li
Deep Bi-directional Long Short-Term Memory Model for Short-Term Traffic Flow Prediction. ICONIP (5) (2017)
Yan Hu, Xiaofei Xu, Li Li
Weakly Supervised Feature Compression Based Topic Model for Sentiment Classification. KSEM (2017)
Peiwen Du, Siding Chen, Xiaofei Xu, Li Li
Word Similarity Computation with Extreme-Similar Method. APWeb/WAIM Workshops (2017)
Dengbao Wang, Fei Hu, Li Li
Exploiting Label Correlations Using DBN Chains for Multi-Label Classification. ChineseCSCW (2017)
Jingyuan Wang, Li Li
A Joint Model for Water Scarcity Evaluation. APWeb/WAIM Workshops (2017)
Jinjing Zhang, Fei Hu, Li Li, Xiaofei Xu, Zhanbo Yang
AEDR: An Adaptive Mechanism to Achieve Online Learning Rate Dynamically. ICTAI (2017)
Zhanbo Yang, Fei Hu, Jingyuan Wang, Jinjing Zhang, Li Li
Learning Image Representation Based on Convolutional Neural Networks. ICONIP (2) (2017)
Wenli Yu, Li Li, Xiaofei Xu, Dengbao Wang, Jingyuan Wang, Shiping Chen
ProductRec: Product Bundle Recommendation Based on User's Sequential Patterns in Social Networking Service Environment. ICWS (2017)
Wenli Yu, Li Li, Fan Li, Jinjing Zhang, Fei Hu
Exploring Latent Bundles from Social Behaviors for Personalized Ranking. KSEM (2017)
Wenli Yu, Li Li, Jingyuan Wang, Dengbao Wang, Yong Wang, Zhanbo Yang, Min Huang
Learning Intermediary Category Labels for Personal Recommendation. APWeb/WAIM (2) (2017)
Xiaofei Xu, Fei Hu, Peiwen Du, Jingyuan Wang, Li Li
Efficient Stance Detection with Latent Feature. APWeb/WAIM Workshops (2017)
Mengzi Tang, Li Li
Role-aware Conformity Influence Analysis in Recommender Systems. WebDB (2017)
Yong Wang, Li Li, Xiaofei Xu
A Piecewise Hybrid of ARIMA and SVMs for Short-Term Traffic Flow Prediction. ICONIP (5) (2017)
Fei Hu, Xiaofei Xu, Jingyuan Wang, Zhanbo Yang, Li Li
Memory-Enhanced Latent Semantic Model: Short Text Understanding for Sentiment Analysis. DASFAA (1) (2017)
Fei Hu, Li Li, Zili Zhang, Jingyuan Wang, Xiaofei Xu
Emphasizing Essential Words for Sentiment Classification Based on Recurrent Neural Networks. J. Comput. Sci. Technol. 32 (4) (2017)
Fan Li, Zili Zhang, Li Li, Xiaofei Xu, Shuo He
IIRank: Co-Ranking Scientific Articles by Characterizing their Innovativeness and Importance. ChineseCSCW (2017)
Wenli Yu, Li Li, Fei Hu, Fan Li, Jinjing Zhang
Modeling Complementary Relationships of Cross-Category Products for Personal Ranking. WISE (2) (2017)
Rongwei Song, Siding Chen, Bailong Deng, Li Li
eXtreme Gradient Boosting for Identifying Individual Users Across Different Digital Devices. WAIM (1) (2016)
Guolong Liu, Xiaofei Xu, Bailong Deng, Siding Chen, Li Li
A hybrid method for bilingual text sentiment classification based on deep learning. SNPD (2016)
Fei Hu, Xiaofei Xu, Tao Peng, Changjiu Pu, Li Li
A Fast Pseudo-Stochastic Sequential Cipher Generator Based on RBMs. CoRR (2016)
Zeyu Zhang, Bailong Deng, Siding Chen, Li Li
An Improved HMM Model for Sensing Data Predicting in WSN. WAIM (1) (2016)
Fan Li, Wenli Yu, Jinjing Zhang, Li Li
Quantitative Analysis Academic Evaluation Based on Attenuation-Mechanism. KSEM (2016)
Fei Hu, Changjiu Pu, Haowei Gao, Mengzi Tang, Li Li
An image compression and encryption scheme based on deep learning. CoRR (2016)
Yan Hu, Xiaofei Xu, Li Li
Analyzing Topic-Sentiment and Topic Evolution over Time from Social Media. KSEM (2016)
Guolong Liu, Xiaofei Xu, Ying Zhu, Li Li
An Improved Latent Dirichlet Allocation Model for Hot Topic Extraction. BDCloud (2014)
Le Luo, Li Li, Ying Wang
Learning to Classify Service Data with Latent Semantics. RSKT (2012)
Li Li, Dongxi Liu, Athman Bouguettaya
Semantic based aspect-oriented programming for context-aware Web service composition. Inf. Syst. 36 (3) (2011)
Li Li, Kerry L. Taylor
Generating an Efficient Sensor Network Program by Partial Deduction. PRICAI (2010)
Li Li, Pengyi Yang, Ling Ou, Zili Zhang, Peng Cheng
Genetic Algorithm-Based Multi-objective Optimisation for QoS-Aware Web Services Composition. KSEM (2010)
Hongbing Wang, Zuling Kang, Ning Zhou, Li Li
A model checker for WS-CDL. J. Syst. Softw. 83 (10) (2010)
Li Li, Peng Cheng, Ling Ou, Zili Zhang
Applying Multi-objective Evolutionary Algorithms to QoS-Aware Web Service Composition. ADMA (2) (2010)
Hongbing Wang, Li Li, Chen Wang, Zuling Kang, Dongxi Liu, Jemma Wu, Athman Bouguettaya
Logic-based verification for Web services composition with TLA. SOCA (2009)
Li Li, Dongxi Liu, Athman Bouguettaya
Semantic Weaving for Context-Aware Web Service Composition. WISE (2009)
Li Li, Yun Yang
Agent-based ontology mapping and integration towards interoperability. Expert Syst. J. Knowl. Eng. 25 (3) (2008)
Li Li, Yun Yang
Agent negotiation based ontology refinement process and mechanisms for service applications. Serv. Oriented Comput. Appl. 2 (1) (2008)
Li Li, Yun Yang
E-Business Process Modelling with Finite State Machine Based Service Agents. CSCWD (Selected Papers) (2007)
Li Li, Chengfei Liu, Junhu Wang
Deriving Transactional Properties of CompositeWeb Services. ICWS (2007)
Li Li, Yun Yang
Ontological Approach for E-Services. CSCWD (2007)
Li Li, Yun Yang
An Agent-Based Ontological Approach for Information Reorganisation. Australian Conference on Artificial Intelligence (2006)
Li Li, Baolin Wu, Yun Yang
Formulating Agent Interaction for Ontology Evolution. AMT (2006)
Baolin Wu, Li Li, Yun Yang
Ontological Approach Towards E-business Process Automation. ICEBE (2006)
Li Li, Yun Yang, Baolin Wu
Implementation of Agent-based Ontology Mapping and Integration. ICEBE (2006)
Li Li, Baolin Wu, Yun Yang
Semantic Mapping with Multi-Agent Systems. EEE (2005)
Li Li, Yun Yang, Baolin Wu
Agent-based approach towards ontology refinement in virtual enterprises. AMT (2005)
Li Li, Yun Yang, Baolin Wu
Agent-Based Ontology Mapping Towards Ontology Interoperability. Australian Conference on Artificial Intelligence (2005)
Li Li, Yun Yang, Baolin Wu
Ontology-Based Matchmaking in e-Marketplace with Web Services. APWeb (2005)
Baolin Wu, Mohammed N. Dewan, Li Li, Yun Yang
Supply Chain Protocolling. CEC (2005)
Li Li, Baolin Wu, Yun Yang
Agent-Based Approach for Dynamic Ontology Management. KES (3) (2005)
Li Li, Baolin Wu, Yun Yang
An Ontology-Oriented Approach for Virtual Enterprises. APWeb (2004)
Li Li, Baolin Wu, Yun Yang
Refinement for Ontology Evolution in Virtual Enterprises. ICEB (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Li Li