Aggregating User-Centered Rankings to Improve Web Search. - Lin Li 001; Zhenglu Yang; Masaru Kitsuregawa (AAAI, 2007)

User-assisted similarity estimation for searching related web pages. - Lin Li 001; Zhenglu Yang; Kulwadee Somboonviwat; Masaru Kitsuregawa (Hypertext, 2007)

Dynamic Adaptation Strategies for Long-Term and Short-Term User Profile to Personalize Search. - Lin Li 001; Zhenglu Yang; Botao Wang; Masaru Kitsuregawa (APWeb/WAIM, 2007)

Towards efficient dominant relationship exploration of the product items on the web. - Zhenglu Yang; Lin Li 001; Botao Wang; Masaru Kitsuregawa (WWW, 2007)

Query-URL Bipartite Based Approach to Personalized Query Recommendation. - Lin Li 001; Zhenglu Yang; Ling Liu 001; Masaru Kitsuregawa (AAAI, 2008)

Efficient Querying Relaxed Dominant Relationship between Product Items Based on Rank Aggregation. - Zhenglu Yang; Lin Li 001; Masaru Kitsuregawa (AAAI, 2008)

Query Recommendation Using Large-Scale Web Access Logs and Web Page Archive. - Lin Li 001; Shingo Otsuka; Masaru Kitsuregawa (DEXA, 2008)

Using Ontology-Based User Preferences to Aggregate Rank Lists in Web Search. - Lin Li 001; Zhenglu Yang; Masaru Kitsuregawa (PAKDD, 2008)

Enhancing Web Search by Aggregating Results of Related Web Queries. - Lin Li 001; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (WISE, 2009)

Rank Optimization of Personalized Search. - Lin Li 001; Zhenglu Yang; Masaru Kitsuregawa (Inf. Media Technol., 2009)

Efficient Analyzing General Dominant Relationship Based on Partial Order Models. - Zhenglu Yang; Lin Li 001; Masaru Kitsuregawa (IEICE Trans. Inf. Syst., 2010)

Finding Related Search Engine Queries by Web Community Based Query Enrichment. - Lin Li 001; Shingo Otsuka; Masaru Kitsuregawa (World Wide Web, 2010)

A Feature-Free Flexible Approach to Topical Classification of Web Queries. - Lin Li 001; Guandong Xu; Zhenglu Yang; Yanchun Zhang; Masaru Kitsuregawa (SKG, 2011)

Random walk based rank aggregation to improving web search. - Lin Li 001; Guandong Xu; Yanchun Zhang; Masaru Kitsuregawa (Knowl. Based Syst., 2011)

Modeling user hidden navigational behavior for Web recommendation. - Guandong Xu; Lin Li 001; Yanchun Zhang; Xun Yi; Masaru Kitsuregawa (Web Intell. Agent Syst., 2011)

Recommending Related Microblogs: A Comparison Between Topic and WordNet based Approaches. - Xing Chen; Lin Li 001; Guandong Xu; Zhenglu Yang; Masaru Kitsuregawa (AAAI, 2012)

Extraction and Analysis of Chinese Microblog Topics from Sina. - Lin Li 001; Xing Chen (CGC, 2012)

Finding Related Micro-blogs Based on WordNet. - Lin Li 001; Huifan Xiao; Guandong Xu (DASFAA Workshops, 2012)

A feature-free search query classification approach using semantic distance. - Lin Li 001; Luo Zhong; Guandong Xu; Masaru Kitsuregawa (Expert Syst. Appl., 2012)

The Media Feature Analysis of Microblog Topics. - Xing Chen; Lin Li 001; Shili Xiong (DASFAA Workshops, 2013)

Training Data of City Tunnel Traffic Situation Awareness. - Lin Li 001; Weiguo Wu; Luo Zhong (ICICA (2), 2013)

Video Key Frame Extraction for Semantic Retrieval. - Xian Zhong; Yansheng Lu; Lin Li 001 (ICICA (1), 2013)

Suggestions for Fresh Search Queries by Mining Mircoblog Topics. - Lin Li 001; Xing Chen; Guandong Xu (BSI@PAKDD/BSIC@IJCAI, 2013)

QUBiC: An adaptive approach to query-based recommendation. - Lin Li 001; Luo Zhong; Zhenglu Yang; Masaru Kitsuregawa (J. Intell. Inf. Syst., 2013)

An Online Energy Saving Resource Optimization Methodology for Data Center. - Jingling Yuan; Xuyang Miao; Lin Li 001; Xing Jiang (J. Softw., 2013)

An efficient approach to suggesting topically related web queries using hidden topic model. - Lin Li 001; Guandong Xu; Zhenglu Yang; Peter Dolog; Yanchun Zhang; Masaru Kitsuregawa (World Wide Web, 2013)

Identifying Domain-Dependent Influential Microblog Users: A Post-Feature Based Approach. - Nian Liu; Lin Li 001; Guandong Xu; Zhenglu Yang (AAAI, 2014)

A Rule-Based Recommendation for Personalization in Social Networks. - Rui Zhang 066; Yueqi Zhou; Lin Li 001; Chengming Zou (APSCC, 2014)

The Large-scale Dynamic Data Rapid Reduction Algorithm Based on Map-Reduce. - Jingling Yuan; Jing Xie; Yan Yuan; Lin Li 001 (J. Softw., 2014)

Learning to rank domain experts in microblogging by combining text and non-text features. - Lu Qi; Yanyi Huang; Lin Li 001; Guandong Xu (BESC, 2015)

MARS: A multi-aspect Recommender system for Point-of-Interest. - Xin Li 064; Guandong Xu; Enhong Chen; Lin Li 001 (ICDE, 2015)

Learning User Preferences across Multiple Aspects for Merchant Recommendation. - Xin Li 064; Guandong Xu; Enhong Chen; Lin Li 001 (ICDM, 2015)

Hashtag Biased Ranking for Keyword Extraction from Microblog Posts. - Lin Li 001; Chang Su; Yueqing Sun; Shengwu Xiong 001; Guandong Xu (KSEM, 2015)

Mining User's Location Intention from Mobile Search Log. - Yifan Sun; Xin Li 064; Lin Li 001; Qi Liu 003; Enhong Chen; Haiping Ma (KSEM, 2015)

Factorization Machine Based Business Credit Scoring by Leveraging Internet Data. - Ge Zhu; Lin Li 001 (APWeb (2), 2016)

A comparison study of semi-supervised SVM algorithms for small business credit prediction. - Jie Zhang 036; Lin Li 001; Ge Zhu; Xiangfu Meng; Qing Xie 002 (BESC, 2016)

Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation. - Yan Chen; Xin Li 064; Lin Li 001; Guiquan Liu; Guandong Xu (DASFAA (1), 2016)

A Decision Tree-Based Approach for Categorizing Spatial Database Query Results. - Xiangfu Meng; Xiaoyan Zhang 005; Jinguang Sun; Lin Li 001; Changzheng Xing; Chongchun Bi (DSAA, 2016)

A comparison study of clustering algorithms for microblog posts. - Lin Li 001; Jingjing Ye; Fang Deng; Shengwu Xiong 001; Luo Zhong (Clust. Comput., 2016)

Enhancing Keyword Suggestion of Web Search by Leveraging Microblog Data. - Lin Li 001; Lu Qi; Fang Deng; Shengwu Xiong 001; Jingling Yuan (J. Web Eng., 2016)

Translation Language Model Enhancement for Community Question Retrieval Using User Adoption Answer. - Ming Chen; Lin Li 001; Qing Xie 002 (APWeb/WAIM (1), 2017)

Urban emergency shelter site selection. - Yang Liu; Lin Li 001; Zhongwei Xie; Ge Zhu; Guiming Xu (BESC, 2017)

Urban emergency evacuation strategy. - Zhongwei Xie; Lin Li 001; Yueqing Sun; Wangping Li; Guiming Xu (BESC, 2017)

Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition. - Yueqing Sun; Lin Li 001; Zhongwei Xie; Qing Xie 002; Xin Li 064; Guandong Xu (DASFAA (2), 2017)

A Fast Heuristic Attribute Reduction Algorithm Using Spark. - Mincheng Chen; Jingling Yuan; Lin Li 001; Dongling Liu; Tao Li 006 (ICDCS, 2017)

Erler at the NTCIR-13 OpenLiveQ Task. - Ming Chen; Lin Li 001; Yueqing Sun; Jie Zhang 036 (NTCIR, 2017)

Multi-modal Multimedia Big Data Analyzing Architecture and Resource Allocation on Cloud Platform. - K. P. N. Jayasena; Lin Li 001; Qing Xie 002 (Neurocomputing, 2017)

基于主题模型和情感分析的垃圾评论识别方法研究 (Review Spam Detection Approach Based on Topic Model and Sentiment Analysis). - Xianghong Jin; Lin Li 001; Luo Zhong (计算机科学, 2017)

融合隐性特征的群体推荐方法研究 (Research on Method of Group Recommendation for Fusion of Hidden Features). - Yi Liu 065; Xian Zhong; Lin Li 001 (计算机科学, 2017)

Enhancing RNN Based OCR by Transductive Transfer Learning From Text to Images. - Yang He 003; Jingling Yuan; Lin Li 001 (AAAI, 2018)

PBR: A Personalized Book Resource Recommendation System. - Yajie Zhu; Feng Xiong; Qing Xie 002; Lin Li 001; Yongjian Liu (APWeb/WAIM (1), 2018)

The Combination of Context Information to Enhance Simple Question Answering. - Zhaohui Chao; Lin Li 001 (BESC, 2018)

A Novel Algorithm for Group Recommendation Based on Combination of Recessive Characteristics. - Yi Liu 065; Xian Zhong; Lin Li 001; Jingling Yuan (BESC, 2018)

Optimizing the Energy Efficient VM consolidation by a Multi-Objective Algorithm. - K. P. N. Jayasena; Lin Li 001; Mohamed Abd El-Aziz 001; Shengwu Xiong 001; Jianwen Xiang (CSCWD, 2018)

Using Clustering Labels to Supervise Mashup Service Classification. - Yang Liu; Lin Li 001; Jianwen Xiang (ER Workshops, 2018)

Multi-objective Energy Efficient Resource Allocation Using Virus Colony Search (VCS) Algorithm. - Kudamaduwage Pubudu Nuwanthika Jayasena; Lin Li 001; Mohamed E. Abd Elaziz; Shengwu Xiong 001 (HPCC/SmartCity/DSS, 2018)

A New Software Rejuvenation Model for Android. - Jianwen Xiang; Caisheng Weng; Dongdong Zhao 001; Jing Tian; Shengwu Xiong 001; Lin Li 001; Artur Andrzejak 001 (ISSRE Workshops, 2018)

Extracting Typical Domain Keywords from Annual Reports of Listed Company. - Zhaohui Chao; Lin Li 001 (MIPR, 2018)

A Hybrid Model Reuse Training Approach for Multilingual OCR. - Zhongwei Xie; Lin Li 001; Xian Zhong; Luo Zhong; Qing Xie 002; Jianwen Xiang (WISE (1), 2018)

A gene-phenotype relationship extraction pipeline from the biomedical literature using a representation learning approach. - Wenhui Xing; Junsheng Qi; Xiaohui Yuan; Lin Li 001; Xiaoyu Zhang; Yuhua Fu; Shengwu Xiong 001; Lun Hu; Jing Peng (Bioinform., 2018)

Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings. - Zhongwei Xie; Lin Li 001; Xian Zhong; Luo Zhong (CoRR, 2018)

An Instance Transfer based Approach Using Enhanced Recurrent Neural Network for Domain Named Entity Recognition. - Lin Li 001; Yueqing Sun (CoRR, 2018)

Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling. - Yunpei Zheng; Lin Li 001; Luo Zhong; Jianwei Zhang 002; Jinghang Liu (CoRR, 2018)

Unsupervised Keyword Extraction from Microblog Posts via Hashtags. - Lin Li 001; Jinghang Liu; Yueqing Sun; Guandong Xu; Jingling Yuan; Luo Zhong (J. Web Eng., 2018)

A potential-based clustering method with hierarchical optimization. - Xin Liu; Yongjian Liu; Qing Xie 002; Lin Li 001; Zhixu Li (World Wide Web, 2018)

Interactive resource recommendation algorithm based on tag information. - Qing Xie 002; Feng Xiong; Tian Han 002; Yongjian Liu; Lin Li 001; Zhifeng Bao (World Wide Web, 2018)

Streaming Recommendation Algorithm with User Interest Drift Analysis. - Jianzong Chen; Hanlu Li; Qing Xie 002; Lin Li 001; Yongjian Liu (APWeb/WAIM (2), 2019)

Using Sentiment Representation Learning to Enhance Gender Classification for User Profiling. - Yunpei Zheng; Lin Li 001; Jianwei Zhang 002; Qing Xie 002; Luo Zhong (APWeb/WAIM (2), 2019)

An Extraction-Abstraction Hybrid Approach for Long Document Summarization. - Si Huang; Rui Wang; Qing Xie 002; Lin Li 001; Yongjian Liu (BESC, 2019)

Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval. - Dong Li; Lin Li 001; Dong Zhou 001 (BESC, 2019)

An Item Recommendation Approach by Fusing Images based on Neural Networks. - Weibin Lin; Lin Li 001; Dong Li (BESC, 2019)

Kubestorage: A Cloud Native Storage Engine for Massive Small Files. - Fuxin Liu; Jingwei Li; Yihong Wang; Lin Li 001 (BESC, 2019)

Deep neural network-based classification model for Sentiment Analysis. - Donghang Pan; Jingling Yuan; Lin Li 001; Deming Sheng (BESC, 2019)

Micro-blog User Profiling: A Supervised Clustering based Approach for Age and Gender Classification. - Jing Qiu; Lin Li 001; Yunpei Zheng (BESC, 2019)

Twitter Analysis for Depression on Social Networks based on Sentiment and Stress. - Xiaohui Tao 001; Ravi Dharmalingam; Ji Zhang 001; Xujuan Zhou; Lin Li 001; Raj Gururajan (BESC, 2019)

Top-k Spatial Keyword Quer with Typicality and Semantics. - Xiangfu Meng; Xiaoyan Zhang 005; Lin Li 001; Quangui Zhang; Pan Li 013 (DASFAA (3), 2019)

Research on Adoption of Gene-Disease Identification and Recognition Phenotype Process in High-Performance Computing and Applications (HPCA) Research. - Abed Alshreef; Jingling Yuan; Lin Li 001; Mesmin Junior Mbyamm K. (HPCC/SmartCity/DSS, 2019)

Cyberbullying Detection on Twitter using Multiple Textual Features. - Jianwei Zhang 002; Taiga Otomo; Lin Li 001; Shinsuke Nakajima (iCAST, 2019)

A Group Recommendation Approach Based on Neural Network Collaborative Filtering. - Jia Du; Lin Li 001; Peng Gu; Qing Xie 002 (ICDE Workshops, 2019)

Squeeze-and-Excitation Wide Residual Networks in Image Classification. - Xian Zhong; Oubo Gong; Wenxin Huang; Lin Li 001; Hongxia Xia (ICIP, 2019)

An Efficient Semantic Segmentation Method using Pyramid ShuffleNet V2 with Vortex Pooling. - Jiansheng Dong; Jingling Yuan; Lin Li 001; Xian Zhong; Weiru Liu (ICTAI, 2019)

Automatic Generation of Chinese Couplets with Attention Based Encoder-Decoder Model. - Shengqiong Yuan; Luo Zhong; Lin Li 001; Rui Zhang 066 (MIPR, 2019)

Combining Q&A Pair Quality and Question Relevance Features on Community-based Question Retrieval. - Dong Li; Lin Li 001 (CoRR, 2019)

An Item Recommendation Approach by Fusing Images based on Neural Networks. - Weibin Lin; Lin Li 001 (CoRR, 2019)

Social Influence-based Attentive Mavens Mining and Aggregative Representation Learning for Group Recommendation. - Peipei Wang; Lin Li 001; Yi Yu; Guandong Xu (CoRR, 2019)

Heuristic attribute reduction and resource-saving algorithm for energy data of data centers. - Mincheng Chen; Jingling Yuan; Lin Li 001; Dongling Liu; Yang He 003 (Knowl. Inf. Syst., 2019)

Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution. - Mohamed Abd El-Aziz 001; Shengwu Xiong 001; K. P. N. Jayasena; Lin Li 001 (Knowl. Based Syst., 2019)

CNN-feature based automatic image annotation method. - Yanchun Ma; Yongjian Liu; Qing Xie 002; Lin Li 001 (Multim. Tools Appl., 2019)

Enhancing multimodal deep representation learning by fixed model reuse. - Zhongwei Xie; Lin Li 001; Xian Zhong; Yang He 003; Luo Zhong (Multim. Tools Appl., 2019)

An Attentive Deep Supervision based Semantic Matching Framework For Tag Recommendation in Software Information Sites. - Xinhao Zheng; Lin Li 001; Dong Zhou 001 (APSEC, 2020)

meanNet: A Multi-layer Label Mean Based Semi-supervised Neural Network Approach for Credit Prediction. - Guowei Wang; Lin Li 001; Jianwei Zhang 002 (APWeb/WAIM (1), 2020)

A Deep Learning Model for Early Detection of Fake News on Social Media*. - Pakindessama M. Konkobo; Rui Zhang 066; Siyuan Huang 002; Toussida T. Minoungou; Jose A. Ouedraogo; Lin Li 001 (BESC, 2020)

A Joint Model of Entity Recognition and Predicate Mapping for Chinese Knowledge Base Question Answering. - Hongjing Li; Lin Li 001 (BESC, 2020)

WhatFits- Deep Learning for Clothing Collocation. - Shengqiong Yuan; Luo Zhong; Lin Li 001 (BESC, 2020)

An Empirical Study on Ensemble Learning of Multimodal Machine Translation. - Liang Tan; Lin Li 001; Yifeng Han; Dong Li; Kaixi Hu; Dong Zhou 001; Peipei Wang (BigMM, 2020)

Cross-Modal Joint Embedding with Diverse Semantics. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Lin Li 001; Luo Zhong (CogMI, 2020)

Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information. - Wenyu Zhao; Dong Zhou 001; Lin Li 001; Jinjun Chen (COLING, 2020)

A Lightweight High-Resolution Representation Backbone For Real-Time Keypoint-Based Object Detection. - Jiansheng Dong; Jingling Yuan; Lin Li 001; Xian Zhong (ICME, 2020)

Feature-aware unsupervised learning with joint variational attention and automatic clustering. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (ICPR, 2020)

Complementing Representation Deficiency in Few-shot Image Classification: A Meta-Learning Approach. - Xian Zhong; Cheng Gu; Wenxin Huang; Lin Li 001; Shuqin Chen; Chia-Wen Lin (ICPR, 2020)

A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting. - Zhaoyang Li; Lin Li 001; Yuquan Peng; Xiaohui Tao 001 (ICTAI, 2020)

Visual Collaborative Maintenance Method for Urban Rail Vehicle Bogie Based on Operation State Prediction. - Yi Liu 065; Qi Chang; Qinghai Gan; Guili Huang; Dehong Chen; Lin Li 001 (ICPCSEE (2), 2020)

Early Automatic Detection of False Information in Twitter Event Considering Occurrence Scale and Time Series. - Jianwei Zhang 002; Jinto Yamanaka; Lin Li 001 (iiWAS, 2020)

Video Review Analysis via Transformer-Based Sentiment Change Detection. - Zilong Wu; Siyuan Huang 002; Rui Zhang 066; Lin Li 001 (MIPR, 2020)

Optimizing Queries over Video via Lightweight Keypoint-based Object Detection. - Jiansheng Dong; Jingling Yuan; Lin Li 001; Xian Zhong; Weiru Liu (ICMR, 2020)

A Coordinated Representation Learning Enhanced Multimodal Machine Translation Approach with Multi-Attention. - Yifeng Han; Lin Li 001; Jianwei Zhang 002 (ICMR, 2020)

Sentence-based and Noise-robust Cross-modal Retrieval on Cooking Recipes and Food Images. - Zichen Zan; Lin Li 001; Jianquan Liu; Dong Zhou 001 (ICMR, 2020)

A Cross-Layer Connection Based Approach for Cross-Lingual Open Question Answering. - Lin Li 001; Miao Kong; Dong Li; Dong Zhou 001 (NLPCC (1), 2020)

A Densely Connected Encoder Stack Approach for Multi-type Legal Machine Reading Comprehension. - Peiran Nai; Lin Li 001; Xiaohui Tao 001 (WISE (2), 2020)

A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts. - Lingyun Zhao 002; Lin Li 001; Xinhao Zheng (CoRR, 2020)

Detecting Disaster-Related Tweets Via Multimodal Adversarial Neural Network. - Wang Gao 002; Lin Li 001; Xun Zhu; Yuwei Wang (IEEE Multim., 2020)

Interactive resource recommendation with optimization by tag association and significance analysis. - Qing Xie 002; Yajie Zhu; Feng Xiong; Lin Li 001; Zhifeng Bao; Yongjian Liu (Neurocomputing, 2020)

An emotion classification algorithm based on SPT-CapsNet. - Xian Zhong; Jinhang Liu; Lin Li 001; Shuqin Chen; Wei Lu; Yuyu Dong; Bingqing Wu; Luo Zhong (Neural Comput. Appl., 2020)

Adaptively Converting Auxiliary Attributes and Textual Embedding for Video Captioning Based on BiLSTM. - Shuqin Chen; Xian Zhong; Lin Li 001; Wenxuan Liu; Cheng Gu; Luo Zhong (Neural Process. Lett., 2020)

GPU based parallel optimization for real time panoramic video stitching. - Chengyao Du; Jingling Yuan; Jiansheng Dong; Lin Li 001; Mincheng Chen; Tao Li 006 (Pattern Recognit. Lett., 2020)

Image-to-video person re-identification with cross-modal embeddings. - Zhongwei Xie; Lin Li 001; Xian Zhong; Luo Zhong; Jianwen Xiang (Pattern Recognit. Lett., 2020)

Software aging and rejuvenation in android: new models and metrics. - Jianwen Xiang; Caisheng Weng; Dongdong Zhao 001; Artur Andrzejak 001; Shengwu Xiong 001; Lin Li 001; Jing Tian (Softw. Qual. J., 2020)

Image inspired Chinese couplet generation. - Shengqiong Yuan; Luo Zhong; Lin Li 001 (Web Intell., 2020)

Automatic Cyberbullying Detection on Twitter Using Bullying Expression Dictionary. - Jianwei Zhang 002; Taiga Otomo; Lin Li 001; Shinsuke Nakajima (ACIIDS, 2021)

Text Description Generation from Videos via Deep Semantic Models. - Lin Li 001; Kaixi Hu (APSIPA ASC, 2021)

Multimodal Encoders for Food-Oriented Cross-Modal Retrieval. - Ying Chen; Dong Zhou 001; Lin Li 001; Junmei Han (APWeb/WAIM (2), 2021)

Learning Cooperative Max-Pressure Control by Leveraging Downstream Intersections Information for Traffic Signal Control. - Yuquan Peng; Lin Li 001; Qing Xie 002; Xiaohui Tao 001 (APWeb/WAIM (2), 2021)

BERT-based Aggregative Group Representation for Group Recommendation. - Peipei Wang; Lin Li 001 (BESC, 2021)

Hyperbolic Hypergraphs for Sequential Recommendation. - Yicong Li 001; Hongxu Chen 002; Xiangguo Sun; Zhenchao Sun; Lin Li 001; Lizhen Cui; Philip S. Yu; Guandong Xu (CIKM, 2021)

What is Next when Sequential Prediction Meets Implicitly Hard Interaction? - Kaixi Hu; Lin Li 001; Qing Xie 002; Jianquan Liu; Xiaohui Tao 001 (CIKM, 2021)

Multi-subspace Implicit Alignment for Cross-modal Retrieval on Cooking Recipes and Food Images. - Lin Li 001; Ming Li 072; Zichen Zan; Qing Xie 002; Jianquan Liu (CIKM, 2021)

Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. - Zhongwei Xie; Ling Liu 001; Lin Li 001; Luo Zhong (CIKM, 2021)

A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts. - Lingyun Zhao 002; Lin Li 001; Xinhao Zheng; Jianwei Zhang 002 (CSCWD, 2021)

An End-to-end Hierarchical Multi-task Learning Framework of Sentiment Analysis and Key Entity Identification for Online Financial Texts. - Xinhao Zheng; Lin Li 001; Weijian Zhang (CSCWD, 2021)

Sarcasm Detection for Japanese Text Using BERT and Emoji. - Yoshio Okimoto; Kosuke Suwa; Jianwei Zhang 002; Lin Li 001 (DEXA (1), 2021)

Utilizing Local Tangent Information for Word Re-embedding. - Wenyu Zhao; Dong Zhou 001; Lin Li 001; Jinjun Chen (ECIR (1), 2021)

Japanese Election Prediction Based on Sentiment Analysis of Twitter Replies to Candidates. - Yoshio Okimoto; Yuki Hosokawa; Jianwei Zhang 002; Lin Li 001 (IALP, 2021)

COOPNet: Multi-Modal Cooperative Gender Prediction in Social Media User Profiling. - Lin Li 001; Kaixi Hu; Yunpei Zheng; Jianquan Liu; Kong Aik Lee (ICASSP, 2021)

Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. - Haoran Yang; Hongxu Chen 002; Lin Li 001; Philip S. Yu; Guandong Xu (ICDM, 2021)

Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. - Zhongwei Xie; Ling Liu 001; Lin Li 001; Luo Zhong (ICMI, 2021)

An Empirical Study on Effect of Semantic Measures in Cross-Domain Recommender System in User Cold-Start Scenario. - Yuhan Wang; Qing Xie 002; Lin Li 001; Yongjian Liu (KSEM, 2021)

Multimodal Machine Translation Enhancement by Fusing Multimodal-attention and Fine-grained Image Features. - Lin Li 001; Turghun Tayir (MIPR, 2021)

Clustering Trajectories via Sparse Auto-encoders. - Xiaofeng Wu; Rui Zhang 066; Lin Li 001 (MIPR, 2021)

Visible-infrared Person Re-identification with Human Body Parts Assistance. - Huangpeng Dai; Qing Xie 002; Jiachen Li 002; Yanchun Ma; Lin Li 001; Yongjian Liu (ICMR, 2021)

C2-Guard: A Cross-Correlation Gaining Framework for Urban Air Quality Prediction. - Yu Chu; Lin Li 001; Qing Xie 002; Guandong Xu (PAKDD (1), 2021)

Multi-modal and Multi-perspective Machine Translation by Collecting Diverse Alignments. - Lin Li 001; Turghun Tayir; Kaixi Hu; Dong Zhou 001 (PRICAI (2), 2021)

Event Detection in Social Media via Graph Neural Network. - Wang Gao 002; Yuan Fang; Lin Li 001; Xiaohui Tao 001 (WISE (1), 2021)

Detecting depression using an ensemble classifier based on Quality of Life scales. - Xiaohui Tao 001; Oliver Chi; Patrick J. Delaney; Lin Li 001; Jiajin Huang (Brain Informatics, 2021)

Compacting Deep Neural Networks for Internet of Things: Methods and Applications. - Ke Zhang 022; Hanbo Ying; Hong-Ning Dai; Lin Li 001; Yuangyuang Peng; Keyi Guo; Hongfang Yu (CoRR, 2021)

Using back-and-forth translation to create artificial augmented textual data for sentiment analysis models. - Thomas Body; Xiaohui Tao 001; Yuefeng Li; Lin Li 001; Ning Zhong 001 (Expert Syst. Appl., 2021)

An Empirical Study of Learning Based Happiness Prediction Approaches. - Miao Kong; Lin Li 001; Renwei Wu; Xiaohui Tao 001 (Hum. Centric Intell. Syst., 2021)

Compacting Deep Neural Networks for Internet of Things: Methods and Applications. - Ke Zhang 022; Hanbo Ying; Hong-Ning Dai; Lin Li 001; Yuanyuan Peng; Keyi Guo; Hongfang Yu (IEEE Internet Things J., 2021)

Trio-based collaborative multi-view graph clustering with multiple constraints. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Xiao Dong; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2021)

Socially-driven multi-interaction attentive group representation learning for group recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Guandong Xu; Jianwei Zhang 002 (Pattern Recognit. Lett., 2021)

DuroNet: A Dual-robust Enhanced Spatial-temporal Learning Network for Urban Crime Prediction. - Kaixi Hu; Lin Li 001; Jianquan Liu; Daniel Sun 004 (ACM Trans. Internet Techn., 2021)

A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean. - Lin Li 001; Sijie Long; Jianxiu Bi; Guowei Wang; Jianwei Zhang 002; Xiaohui Tao 001 (Web Intell., 2021)

A prison term prediction model based on fact descriptions by capturing long historical information. - Xuetao Mao; Wei Duan; Lin Li 001; Jianwei Zhang 002 (Web Intell., 2021)

A multi-granularity semantic space learning approach for cross-lingual open domain question answering. - Lin Li 001; Miao Kong; Dong Li; Dong Zhou 001 (World Wide Web, 2021)

Using context information to enhance simple question answering. - Lin Li 001; Mengjing Zhang; Zhaohui Chao; Jianwen Xiang (World Wide Web, 2021)

Modeling Sequential Representation with Interaction Dynamics for Social Prediction. - Kaixi Hu; Lin Li 001 (BESC, 2022)

Feature Fusion Network for Personalized Online Advertising Systems. - Weijie Zhao 001; Peng Yang 013; Dong Li; Xing Shen; Lin Li 001; Ping Li 001 (IEEE Big Data, 2022)

Cooperative Max-Pressure Enhanced Traffic Signal Control. - Lin Li 001; Renbo Li; Yuquan Peng; Chuanming Huang; Jingling Yuan (CIKM, 2022)

MomNet: Gender Prediction using Mechanism of Working Memory. - Sijie Long; Lin Li 001; Jingling Yuan; Jianquan Liu (CIKM, 2022)

Cross-Modal Attention Networks with Modality Disentanglement for Scene-Text VQA. - Zeqin Fang; Lin Li 001; Zhongwei Xie; Jingling Yuan (ICME, 2022)

Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction. - Lin Li 001; Xiaohua Wu; Miao Kong; Dong Zhou 001; Xiaohui Tao 001 (IJCAI, 2022)

Cross-Modal Retrieval between Event-Dense Text and Image. - Zhongwei Xie; Lin Li 001; Luo Zhong; Jianquan Liu; Ling Liu 001 (ICMR, 2022)

WUT21 at the NTCIR-16 Data Search 2 Task. - Lin Li 001; Xinyu Chen; Sijie Long (NTCIR, 2022)

A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. - Yansong Shen; Lin Li 001; Qing Xie 002; Xin Li 064; Guandong Xu (PAKDD (1), 2022)

Noise-Robust Semi-supervised Multi-modal Machine Translation. - Lin Li 001; Kaixi Hu; Turghun Tayir; Jianquan Liu; Kong Aik Lee (PRICAI (2), 2022)

Dual Space Graph Contrastive Learning. - Haoran Yang; Hongxu Chen 002; Shirui Pan; Lin Li 001; Philip S. Yu; Guandong Xu (WWW, 2022)

Data Analytics on Online Student Engagement Data for Academic Performance Modeling. - Xiaohui Tao 001; Aaron Shannon-Honson; Patrick J. Delaney; Lin Li 001; Christopher Dann; Yan Li 002; Haoran Xie 001 (IEEE Access, 2022)

MealRec: A Meal Recommendation Dataset. - Ming Li 072; Lin Li 001; Qing Xie 002; Jingling Yuan; Xiaohui Tao 001 (CoRR, 2022)

Complexity-based attentive interactive student performance prediction for personalized course study planning. - Peipei Wang; Lin Li 001; Ru Wang 001; Yifan Xie; Jianwei Zhang 002 (Educ. Inf. Technol., 2022)

Learning persona-driven personalized sentimental representation for review-based recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Xinhao Zheng; Jiaxi He; Guandong Xu (Expert Syst. Appl., 2022)

Cross-lingual embeddings with auxiliary topic models. - Dong Zhou 001; Xiaoya Peng; Lin Li 001; Jun-mei Han (Expert Syst. Appl., 2022)

ACMF: An Attention Collaborative Extended Matrix Factorization Based Model for MOOC course service via a heterogeneous view. - Deming Sheng; Jingling Yuan; Qing Xie 002; Lin Li 001 (Future Gener. Comput. Syst., 2022)

Social dual-effect driven group modeling for neural group recommendation. - Peipei Wang; Lin Li 001; Qing Xie 002; Ru Wang 001; Guandong Xu (Neurocomputing, 2022)

Contrastive and attentive graph learning for multi-view clustering. - Ru Wang 001; Lin Li 001; Xiaohui Tao 001; Peipei Wang; Peiyu Liu 001 (Inf. Process. Manag., 2022)

Neural topic-enhanced cross-lingual word embeddings for CLIR. - Dong Zhou 001; Wei Qu; Lin Li 001; Mingdong Tang; Aimin Yang 002 (Inf. Sci., 2022)

Intelligent Diagnosis Model of Traction Seat of Urban Rail Vehicle Based on Harris Hawks Optimization. - Qi Chang; Minglei Zheng; Jiaxin Luo; Lin Li 001; Junfeng Man; Yiping Shen; Yi Liu 065 (J. Sensors, 2022)

Deep boundary-aware clustering by jointly optimizing unsupervised representation learning. - Ru Wang 001; Lin Li 001; Peipei Wang; Xiaohui Tao 001; Peiyu Liu 001 (Multim. Tools Appl., 2022)

Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Luo Zhong; Lin Li 001 (ACM Trans. Inf. Syst., 2022)

Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. - Zhongwei Xie; Ling Liu 001; Yanzhao Wu 001; Lin Li 001; Luo Zhong (IEEE Trans. Serv. Comput., 2022)

A data cube modeling method for longitudinal cohort study. - Xin Li 064; Huadong Liang; Lin Li 001 (Web Intell., 2022)

Charge prediction modeling with interpretation enhancement driven by double-layer criminal system. - Lin Li 001; Lingyun Zhao 002; Peiran Nai; Xiaohui Tao 001 (World Wide Web, 2022)

MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract). - Xuan Liu 001; Siqi Cai 001; Lin Li 001; Rui Zhang 080; Song Guo 001 (AAAI, 2023)

Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract). - Shugui Xie; Lin Li 001; Jingling Yuan; Qing Xie 002; Xiaohui Tao 001 (AAAI, 2023)

HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform. - Zilong Jiang; Xiang Zuo; Kaifu Yuan; Lin Li 001; Dali Wang; Xiaohui Tao 001 (ADMA (4), 2023)

Community Detection with Graph Convolutional Auto-Encoder and Deep Clustering. - Ru Wang 001; Peipei Wang; Lin Li 001; Peiyu Liu 001 (CSCWD, 2023)

Hyperbolic Mutual Learning for Bundle Recommendation. - Haole Ke; Lin Li 001; Peipei Wang; Jingling Yuan; Xiaohui Tao 001 (DASFAA (2), 2023)

Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation. - Peipei Wang; Lin Li 001; Ru Wang 001; Xiaohui Tao 001 (DASFAA (2), 2023)

L2QA: Long Legal Article Question Answering with Cascaded Key Segment Learning. - Shugui Xie; Lin Li 001; Jingling Yuan; Qing Xie 002; Xiaohui Tao 001 (DASFAA (3), 2023)

Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification. - Dan Liu; Lin Li 001; Xiaohui Tao 001; Jian Cui; Qing Xie 002 (EMNLP (Findings), 2023)

A Mutual Implicit Sentiment Analysis Model with Bundle-Aware Contrastive Learning. - Siqi Cai 001; Jingling Yuan; Lin Li 001 (ICASSP, 2023)

Multimodal Propaganda Detection Via Anti-Persuasion Prompt enhanced contrastive learning. - Jian Cui; Lin Li 001; Xin Zhang; Jingling Yuan (ICASSP, 2023)

Tree-Like Interaction Learning for Bundle Recommendation. - Haole Ke; Lin Li 001; Peipei Wang; Jingling Yuan; Xiaohui Tao 001 (ICASSP, 2023)

Code-Enhanced Fine-Grained Semantic Matching For Tag Recommendation In Software Information Sites. - Lin Li 001; Peipei Wang; Xinhao Zheng; Qing Xie 002 (ICASSP, 2023)

Background Disturbance Mitigation for Video Captioning Via Entity-Action Relocation. - Zipeng Li; Xian Zhong; Shuqin Chen; Wenxuan Liu; Wenxin Huang; Lin Li 001 (ICASSP, 2023)

Be-or-Not Prompt Enhanced Hard Negatives Generating For Memes Category Detection. - Jian Cui; Lin Li 001; Xiaohui Tao 001 (ICME, 2023)

Category-Wise Meal Recommendation. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Qing Xie 002; Jingling Yuan (ICONIP (14), 2023)

An Empirical Study of Multilingual Scene-Text Visual Question Answering. - Lin Li 001; Haohan Zhang; Zeqin Fang (NarSUM@MM, 2023)

IDEA at the NTCIR-17 FinArg-1 Task: Argument-based Sentiment Analysis. - Shaopeng Tang; Lin Li 001 (NTCIR, 2023)

User-Meal Interaction Learning for Meal Recommendation: A Reproducibility Study. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Ning Zhong 001 (SIGIR-AP, 2023)

AutoBloom: AI-Based Classification of Cognitive Levels in Educational Content. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Yuan Sun; Yan Li 002; Ji Zhang 001; Christopher Dann (WI/IAT, 2023)

Reducing the Bias of Visual Objects in Multimodal Named Entity Recognition. - Xin Zhang; Jingling Yuan; Lin Li 001; Jianquan Liu (WSDM, 2023)

Multimodality Fusion for Smart Healthcare: a Journey from Data, Information, Knowledge to Wisdom. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Juan D. Velásquez 001 (CoRR, 2023)

QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Juan D. Velásquez 001; Niall Higgins (CoRR, 2023)

PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (CoRR, 2023)

AI-Driven Patient Monitoring with Multi-Agent Deep Reinforcement Learning. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Hong-Ning Dai (CoRR, 2023)

Multimodality information fusion for automated machine translation. - Lin Li 001; Turghun Tayir; Yifeng Han; Xiaohui Tao 001; Juan D. Velásquez 001 (Inf. Fusion, 2023)

Knowledge-guided multi-granularity GCN for ABSA. - Zhenfang Zhu; Dianyuan Zhang; Lin Li 001; Kefeng Li; Jiangtao Qi; Wenling Wang; Guangyuan Zhang; Peiyu Liu 001 (Inf. Process. Manag., 2023)

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges. - Thanveer Shaik; Xiaohui Tao 001; Niall Higgins; Lin Li 001; Raj Gururajan; Xujuan Zhou; U. Rajendra Acharya (WIREs Data. Mining. Knowl. Discov., 2023)

Identifying informative tweets during a pandemic via a topic-aware neural language model. - Wang Gao 002; Lin Li 001; Xiaohui Tao 001; Jing Zhou; Jun Tao (World Wide Web (WWW), 2023)

Constructing Japanese Bullying Expression Dictionary for Automated Cyberbullying Detection on Twitter. - Jianwei Zhang 002; Lin Li 001; Shinsuke Nakajima (Vietnam. J. Comput. Sci., 2023)

Dual-interactive fusion for code-mixed deep representation learning in tag recommendation. - Lin Li 001; Peipei Wang; Xinhao Zheng; Qing Xie 002; Xiaohui Tao 001; Juan D. Velásquez 001 (Inf. Fusion, 2023)

Reinforcement Learning Based Path Exploration for Sequential Explainable Recommendation. - Yicong Li 001; Hongxu Chen 002; Yile Li; Lin Li 001; Philip S. Yu; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Information fusion in crime event analysis: A decade survey on data, features and models. - Kaixi Hu; Lin Li 001; Xiaohui Tao 001; Juan D. Velásquez 001; Patrick J. Delaney (Inf. Fusion, 2023)

Topic Integrated Opinion-Based Drug Recommendation With Transformers. - Simi Job; Xiaohui Tao 001; Yuefeng Li; Lin Li 001; Jianming Yong (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Aligning Bytes with Bliss: Integrating Happiness Computing with Sociological Insight. - Xiaojun Wu 001; Lin Li 001; Xiaohui Tao 001; Yuefeng Li (ADMA (1), 2024)

Differential Privacy with Data Removal for Online Happiness Assessment. - Yanjie Luo; Lin Li 001; Xiaohua Wu; Xiaohui Tao 001 (APWeb/WAIM (4), 2024)

Speed Prediction of Multiple Traffic Scenarios with Local Fluctuation. - Tianyu Zhang; Lin Li 001; Rui Zhang 066; Xiaohui Tao 001 (APWeb/WAIM (2), 2024)

Dual Clustering Based Collaborative Filtering for Robust Recommendation. - Lei Fu; Jianwei Zhang 002; Lin Li 001 (BESC, 2024)

Sentiment Analysis for Detection of Depressive Users on Social Networks. - Christopher Wigell; Xiaohui Tao 001; Lin Li 001; Grace Y. Wang; Ji Zhang 001; Yuan Sun (BESC, 2024)

Facilitating the Explanation Consistency of Computational Models for Subjective Well-Being. - Xiaohua Wu; Lin Li 001; Xiaohui Tao 001 (BESC, 2024)

Refined Question Reading for Multi-Type Legal Question Answering. - Yu Yin; Lin Li 001; Shugui Xie; Xiaohui Tao 001; Jianwei Zhang 002 (BESC, 2024)

Commonsense Selection and Performance Evaluation for Sarcasm Detection. - Jianwei Zhang 002; Shoya Minakawa; Yuta Sasaki; Lin Li 001 (BigCom, 2024)

Majority Rules Guided Aspect-Category Based Sentiment Analysis via Label Prior Knowledge. - Lin Li 001; Shaopeng Tang; Renwei Wu (LREC/COLING, 2024)

An Urban Air Quality Prediction Model based on Dynamic Correlation of Influencing Factors. - Lin Li 001; Yunqi Mai; Yu Chu; Xiaohui Tao 001; Jianming Yong (CSCWD, 2024)

Computational Personality Analysis with Interpretability Empowered Prediction. - Ahmed R. Elmahalawy; Lin Li 001; Xiaohua Wu; Xiaohui Tao 001; Jianming Yong (CSCWD, 2024)

Debiased Contrastive Learning For Graph Collaborative Filtering. - Zhijun Zhou; Qing Xie 002; Yuhan Wang; Lin Li 001; Yongjian Liu; Mengzi Tang (CSCWD, 2024)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-Grained Crime Prediction. - Kaixi Hu; Lin Li 001; Qing Xie 002; Xiaohui Tao 001; Guandong Xu (DASFAA (7), 2024)

Key Substructure Learning with Chemical Intuition for Material Property Prediction. - Peiliang Zhang; Jingling Yuan; Lin Li 001; Wen Luo; Jiwei Hu; Xin Li 064 (DASFAA (7), 2024)

Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs. - Turghun Tayir; Lin Li 001; Xiaohui Tao 001; Mieradilijiang Maimaiti; Ming Li 072; Jianquan Liu (EMNLP (Findings), 2024)

MealRec+: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Jimmy Xiangji Huang (SIGIR, 2024)

Amazon-KG: A Knowledge Graph Enhanced Cross-Domain Recommendation Dataset. - Yuhan Wang; Qing Xie 002; Mengzi Tang; Lin Li 001; Jingling Yuan; Yongjian Liu (SIGIR, 2024)

Persona-centric Metamorphic Relation guided Robustness Evaluation for Multi-turn Dialogue Modelling. - Yanbing Chen; Lin Li 001; Xiaohui Tao 001; Dong Zhou 001 (CoRR, 2024)

Towards Causal Classification: A Comprehensive Study on Graph Neural Networks. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Haoran Xie 001; Jianming Yong (CoRR, 2024)

Primary and Secondary Factor Consistency as Domain Knowledge to Guide Happiness Computing in Online Assessment. - Xiaohua Wu; Lin Li 001; Xiaohui Tao 001; Frank Xing; Jingling Yuan (CoRR, 2024)

A Survey on Bundle Recommendation: Methods, Applications, and Challenges. - Meng Sun; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Dong Zhang; Peipei Wang; Jimmy Xiangji Huang (CoRR, 2024)

Semantics and Geography Aware Hierarchical Learning for Sequential Crime Prediction. - Kaixi Hu; Lin Li 001; Xiaohui Tao 001; Jianwei Zhang 002 (IEEE Signal Process. Lett., 2024)

Cross-Modal Interaction via Reinforcement Feedback for Audio-Lyrics Retrieval. - Dong Zhou 001; Fang Lei; Lin Li 001; Yongmei Zhou; Aimin Yang 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Niall Higgins; Raj Gururajan; Xujuan Zhou; Jianming Yong (Pattern Recognit. Lett., 2024)

A survey of multimodal information fusion for smart healthcare: Mapping the journey from data to wisdom. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Juan D. Velásquez 001 (Inf. Fusion, 2024)

Quantitatively Interpreting Residents Happiness Prediction by Considering Factor-Factor Interactions. - Lin Li 001; Xiaohua Wu; Miao Kong; Jinhang Liu; Jianwei Zhang 002 (IEEE Trans. Comput. Soc. Syst., 2024)

The Linguistic Feature Relation Analysis of Premise and Hypothesis for Interpreting Nature Language Inference. - Xinyu Chen; Lin Li 001; Mengjing Zhang; Rui Zhang 066 (Hum. Centric Intell. Syst., 2024)

Legal Judgment Prediction via graph boosting with constraints. - Suxin Tong; Jingling Yuan; Peiliang Zhang; Lin Li 001 (Inf. Process. Manag., 2024)

Unsupervised Multimodal Machine Translation for Low-resource Distant Language Pairs. - Turghun Tayir; Lin Li 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Optimal Treatment Strategies for Critical Patients with Deep Reinforcement Learning. - Simi Job; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Taotao Cai; Jianming Yong; Qing Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

Decoupled Progressive Distillation for Sequential Prediction with Interaction Dynamics. - Kaixi Hu; Lin Li 001; Qing Xie 002; Jianquan Liu; Xiaohui Tao 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)

A Dual Perspective Framework of Knowledge-correlation for Cross-domain Recommendation. - Yuhan Wang; Qing Xie 002; Mengzi Tang; Lin Li 001; Jingling Yuan; Yongjian Liu (ACM Trans. Knowl. Discov. Data, 2024)

Encoder-Decoder Calibration for Multimodal Machine Translation. - Turghun Tayir; Lin Li 001; Bei Li; Jianquan Liu; Kong Aik Lee (IEEE Trans. Artif. Intell., 2024)

Evidence Mining for Interpretable Charge Prediction via Prompt Learning. - Lin Li 001; Dan Liu; Lingyun Zhao 002; Jianwei Zhang 002; Jinhang Liu (IEEE Trans. Comput. Soc. Syst., 2024)

Graph-Enabled Reinforcement Learning for Time Series Forecasting With Adaptive Intelligence. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Yuefeng Li (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Zhongwei Xie; Qing Xie 002; Jingling Yuan (ACM Trans. Intell. Syst. Technol., 2024)

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Taotao Cai; Xiaofeng Zhu 001; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles. - Xin Zhang; Peiliang Zhang; Jingling Yuan; Lin Li 001 (AAAI, 2025)

Step-wise Soft Alignment Enhanced Procedural Text Generation from Long Instructional Videos. - Zhihao Wang; Lin Li 001; Xian Zhong; Xiaohui Tao 001; Jianquan Liu (ICMR, 2025)

MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction. - Shaopeng Tang; Lin Li 001; Xiaohui Tao 001; Leqi Zhong; Qing Xie 002 (NAACL (Long Papers), 2025)

Enhancing Interpretability for Computational Personality Analysis in Education. - Ahmed R. Elmahalawy; Lin Li 001; Xiaohua Wu; Xiaohui Tao 001 (PAKDD (2), 2025)

HebCGNN: Hebbian-enabled causal classification integrating dynamic impact valuing. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Haoran Xie 001; Cai Xu; Jianming Yong (Knowl. Based Syst., 2025)

Predictive deep reinforcement learning with multi-agent systems for adaptive time series forecasting. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; U. Rajendra Acharya; Raj Gururajan; Xujuan Zhou (Knowl. Based Syst., 2025)

Knowledge Memory Graph convolution network for cross-domain recommendation. - Yuhan Wang; Qing Xie 002; Mengzi Tang; Zhifeng Bao; Lin Li 001; Yongjian Liu (Knowl. Based Syst., 2025)

A multi-label legal charge prediction method based on summarization generation. - Beilin Qiu; Lingdong Meng; Xuejing Li; Qiongxin Liu; Jun Ge; Lin Li 001 (Web Intell., 2025)

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning. - Peiliang Zhang; Jingling Yuan; Qing Xie 002; Yongjun Zhu; Lin Li 001 (CoRR, 2025)

Exploring Incremental Unlearning: Techniques, Challenges, and Future Directions. - Sadia Qureshi; Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Jianming Yong; Xiaohua Jia (CoRR, 2025)

Random Forest-of-Thoughts: Uncertainty-aware Reasoning for Computational Social Science. - Xiaohua Wu; Xiaohui Tao 001; Wenjie Wu; Yuefeng Li; Lin Li 001 (CoRR, 2025)

Enhanced question understanding for multi-type legal question answering. - Yu Yin; Lin Li 001; Shugui Xie; Xiaohui Tao 001; Jianwei Zhang 002 (CCF Trans. Pervasive Comput. Interact., 2025)

Towards the Explanation Consistency of Citizen Groups in Happiness Prediction via Factor Decorrelation. - Xiaohua Wu; Lin Li 001; Xiaohui Tao 001; Jingling Yuan; Haoran Xie 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts. - Ming Li 072; Lin Li 001; Xiaohui Tao 001; Dong Zhang; Jimmy Xiangji Huang (CoRR, 2025)

Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance. - Simi Job; Xiaohui Tao 001; Taotao Cai; Lin Li 001; Quan Z. Sheng; Haoran Xie 001; Jianming Yong (World Wide Web (WWW), 2025)

Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Niall Higgins; Juan D. Velásquez 001 (Hum. Centric Intell. Syst., 2025)

Exploring Causal Learning Through Graph Neural Networks: An In-Depth Review. - Simi Job; Xiaohui Tao 001; Taotao Cai; Haoran Xie 001; Lin Li 001; Qing Li 001; Jianming Yong (WIREs Data. Mining. Knowl. Discov., 2025)

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation. - Dong Zhang; Lin Li 001; Ming Li 072; Xiaohui Tao 001; Meng Sun; Jimmy Xiangji Huang (CoRR, 2025)

Enhancing Transferability and Consistency in Cross-Domain Recommendations via Supervised Disentanglement. - Yuhan Wang; Qing Xie 002; Zhifeng Bao; Mengzi Tang; Lin Li 001; Yongjian Liu (CoRR, 2025)

Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy. - Thanveer Shaik; Xiaohui Tao 001; Haoran Xie 001; Lin Li 001; Xiaofeng Zhu 001; Qing Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

AI-driven multi-agent reinforcement learning framework for real-time monitoring of physiological signals in stress and depression contexts. - Thanveer Shaik; Xiaohui Tao 001; Lin Li 001; Haoran Xie 001; Hong-Ning Dai; Feng Zhao 003; Jianming Yong (Brain Informatics, 2025)

Dual-state feature importance perception and adaptive interaction importance modeling for CTR prediction. - Gang Hua 007; Qing Xie 002; Yuhan Wang; Lin Li 001; Mengzi Tang; Yongjian Liu (Expert Syst. Appl., 2026)