Modeling Semantic Web Service using Semantic Templates. - Liang Hu 004; Jian Cao 001; Zhiping Gu (SKG, 2008)

Service Discovery and Recommendation in Rough Hierarchical Granular Computing. - Liang Hu 004; Jian Cao 001; Zhiping Gu (APSCC, 2010)

A Service Intermediary Agent Framework for Web Service Integration. - Jian Cao 001; Jie Wang 006; Liang Hu 004; Rujie Lai (APSCC, 2012)

Book Recommendation Based on Joint Multi-relational Model. - Qiuzi Shangguan; Liang Hu 004; Jian Cao 001; Guandong Xu (CGC, 2012)

Latent Informative Links Detection. - Liang Hu 004; Jian Cao 001; Guandong Xu; Zhiping Gu (KES, 2012)

Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. - Liang Hu 004; Jian Cao 001; Guandong Xu; Jie Wang 006; Zhiping Gu; Longbing Cao (IJCAI, 2013)

GEAM: A General and Event-Related Aspects Model for Twitter Event Detection. - Yue You; Guangyan Huang; Jian Cao 001; Enhong Chen; Jing He 004; Yanchun Zhang; Liang Hu 004 (WISE (2), 2013)

Personalized recommendation via cross-domain triadic factorization. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Can Zhu (WWW, 2013)

A Social-Aware Service Recommendation Approach for Mashup Creation. - Jian Cao 001; Wenxing Xu; Liang Hu 004; Jie Wang 006; Minglu Li 001 (Int. J. Web Serv. Res., 2013)

Deep Modeling of Group Preferences for Group-Based Recommendation. - Liang Hu 004; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu; Wei Cao 012 (AAAI, 2014)

Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. - Liang Hu 004; Wei Cao 012; Jian Cao 001; Guandong Xu; Longbing Cao; Zhiping Gu (ICDM, 2014)

Deep Modeling Complex Couplings within Financial Markets. - Wei Cao 012; Liang Hu 004; Longbing Cao (AAAI, 2015)

Document similarity analysis via involving both explicit and implicit semantic couplings. - Qianqian Chen; Liang Hu 004; Jia Xu; Wei Liu 007; Longbing Cao (DSAA, 2015)

Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Dingyu Yang (ACM Trans. Inf. Syst., 2016)

Diversifying Personalized Recommendation with User-session Context. - Liang Hu 004; Longbing Cao; Shoujin Wang; Guandong Xu; Jian Cao 001; Zhiping Gu (IJCAI, 2017)

Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao (ECML/PKDD (2), 2017)

Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. - Liang Hu 004; Longbing Cao; Jian Cao 001; Zhiping Gu; Guandong Xu; Jie Wang 006 (ACM Trans. Inf. Syst., 2017)

Metric-Based Auto-Instructor for Learning Mixed Data Representation. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2018)

Attention-Based Transactional Context Embedding for Next-Item Recommendation. - Shoujin Wang; Liang Hu 004; Longbing Cao; Xiaoshui Huang; Defu Lian; Wei Liu 007 (AAAI, 2018)

Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. - Liang Hu 004; Songlei Jian; Longbing Cao; Qingkui Chen (IJCAI, 2018)

Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. - Liang Hu 004; Qingkui Chen; Haiyan Zhao 002; Songlei Jian; Longbing Cao; Jian Cao 001 (IEEE Intell. Syst., 2018)

FastPM: An approach to pattern matching via distributed stream processing. - Dingyu Yang; Jianmei Guo; Zhi-Jie Wang 009; Yuan Wang 003; Jingsong Zhang; Liang Hu 004; Jian Yin 001; Jian Cao 001 (Inf. Sci., 2018)

Non-IID recommender systems: a machine learning approach - Liang Hu 004 (2018)

HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. - Liang Hu 004; Songlei Jian; Longbing Cao; Zhiping Gu; Qingkui Chen; Artak Amirbekyan (AAAI, 2019)

Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001; Hang Gao (AAAI, 2019)

Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2019)

Sequential Recommender Systems: Challenges, Progress and Prospects. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Longbing Cao; Quan Z. Sheng; Mehmet A. Orgun (IJCAI, 2019)

Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. - Liang Hu 004; Qingkui Chen; Longbing Cao; Songlei Jian; Haiyan Zhao 002; Jian Cao 001 (IEEE Access, 2019)

Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. - Songlei Jian; Liang Hu 004; Longbing Cao; Kai Lu 001 (AAAI, 2020)

Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (AAAI, 2020)

Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao (IJCAI, 2020)

Graph Learning Approaches to Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Nan Wang 009; Francesco Ricci 001; Philip S. Yu (CoRR, 2020)

Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (CoRR, 2020)

The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. - Shoujin Wang; Gabriella Pasi; Liang Hu 004; Longbing Cao (IEEE Intell. Syst., 2020)

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Liang Hu 004 (AAAI, 2021)

Graph Learning based Recommender Systems: A Review. - Shoujin Wang; Liang Hu 004; Yan Wang 002; Xiangnan He 001; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Francesco Ricci 001; Philip S. Yu (IJCAI, 2021)

Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. - Shoujin Wang; Longbing Cao; Liang Hu 004; Shlomo Berkovsky; Xiaoshui Huang; Lin Xiao 002; Wenpeng Lu (IEEE Intell. Syst., 2021)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001; Kaiying Jiang; Liang Hu 004; Shoujin Wang (ECML/PKDD (2), 2022)

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. - Shoujin Wang; Qi Zhang 020; Liang Hu 004; Xiuzhen Zhang 001; Yan Wang 002; Charu Aggarwal 001 (SIGIR, 2022)

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. - Qi Zhang 020; Liang Hu 004; Chongyang Shi 001; Ke Liu; Longbing Cao (CoRR, 2022)

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Liang Hu 004; Hui He; Ning An 001; Longbing Cao; Zhendong Niu (CoRR, 2022)

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. - Yuan Sui; Shanshan Feng; Huaxiang Zhang 001; Jian Cao 001; Liang Hu 004; Nengjun Zhu (Knowl. Based Syst., 2022)

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. - Liang Hu 004; Dora D. Liu; Qi Zhang 020; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. - Dora D. Liu; Liang Hu 004; Qi Zhang 020; Tangwei Ye; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Anum Masood; Mehwish Nasim (ClinicalNLP@ACL, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Liang Hu 004; Ivor W. Tsang (EMNLP (Findings), 2023)

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. - Chongyang Shi 001; Yijun Yin; Qi Zhang 020; Liang Xiao 010; Usman Naseem; Shoujin Wang; Liang Hu 004 (EMNLP (Findings), 2023)

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. - Ran Miao; Xueyu Chen; Liang Hu 004; Zhifei Zhang; Minghua Wan; Qi Zhang 020; Cairong Zhao (ICDM, 2023)

Syntax Tree Constrained Graph Network for Visual Question Answering. - Xiangrui Su; Qi Zhang 020; Chongyang Shi 001; Jiachang Liu 004; Liang Hu 004 (ICONIP (5), 2023)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Hui He; Liang Hu 004; Pengyang Wang; Ning An 001; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers. - Yu Zhang 133; Yepeng Liu; Duoqian Miao 001; Qi Zhang 020; Yiwei Shi; Liang Hu 004 (NeurIPS, 2023)

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Mehwish Nasim (SIGIR, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. - Tangwei Ye; Liang Hu 004; Qi Zhang 020; Zhongyuan Lai; Usman Naseem; Dora D. Liu (WWW, 2023)

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 004; Shoujin Wang; Usman Naseem (CoRR, 2023)

Lite-Mind: Towards Efficient and Versatile Brain Representation Network. - Zixuan Gong; Qi Zhang 020; Duoqian Miao 001; Guangyin Bao; Liang Hu 004 (CoRR, 2023)

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast. - Guangyin Bao; Qi Zhang 020; Duoqian Miao 001; Zixuan Gong; Liang Hu 004 (CoRR, 2023)

PFEMed: Few-shot medical image classification using prior guided feature enhancement. - Zhiyong Dai; Jianjun Yi; Lei Yan; Qingwen Xu; Liang Hu 004; Qi Zhang 020; Jiahui Li; Guoqiang Wang (Pattern Recognit., 2023)

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. - Simeng Bai; Qi Zhang 020; Hui He; Liang Hu 004; Shoujin Wang; Zhendong Niu (Neurocomputing, 2023)

Modeling User Demand Evolution for Next-Basket Prediction. - Shoujin Wang; Yan Wang 002; Liang Hu 004; Xiuzhen Zhang 001; Qi Zhang 020; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Defu Lian (IEEE Trans. Knowl. Data Eng., 2023)

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. - An Lao; Qi Zhang 020; Chongyang Shi 001; Longbing Cao; Kun Yi 001; Liang Hu 004; Duoqian Miao 001 (AAAI, 2024)

Graph Reasoning Transformers for Knowledge-Aware Question Answering. - Ruilin Zhao; Feng Zhao 003; Liang Hu 004; Guandong Xu (AAAI, 2024)

THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Shuvam Shiwakoti; Qi Zhang 020; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Qi Zhang 020; Junaid Rashid; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Yu Zhang 133; Qi Zhang 020; Zixuan Gong; Yiwei Shi; Yepeng Liu; Duoqian Miao 001; Yang Liu; Ke Liu; Kun Yi 001; Wei Fan 010; Liang Hu 004; Changwei Wang 001 (ICML, 2024)

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Wei Fan 010; Liang Hu 004 (IJCAI, 2024)

R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. - Nengjun Zhu; Jieyun Huang; Jian Cao 001; Liang Hu 004; Zixuan Yuan; Huanjing Gao (IJCAI, 2024)

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. - Shouyu Chen; Liang Hu 004; Tangwei Ye; Zhongyuan Lai; Qi Zhang 020; Ke Liu; Usman Naseem; Ke Sun; Nengjun Zhu (ACM Multimedia, 2024)

Lite-Mind: Towards Efficient and Robust Brain Representation Learning. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Yu Zhang 133; Ke Liu; Liang Hu 004; Duoqian Miao 001 (ACM Multimedia, 2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. - Zixuan Gong; Guangyin Bao; Qi Zhang 020; Zhongwei Wan; Duoqian Miao 001; Shoujin Wang; Lei Zhu 003; Changwei Wang 001; Rongtao Xu; Liang Hu 004; Ke Liu; Yu Zhang 133 (NeurIPS, 2024)

MSynFD: Multi-hop Syntax Aware Fake News Detection. - Liang Xiao 010; Qi Zhang 020; Chongyang Shi 001; Shoujin Wang; Usman Naseem; Liang Hu 004 (WWW, 2024)

DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. - Jianing He; Qi Zhang 020; Weiping Ding 001; Duoqian Miao 001; Jun Zhao; Liang Hu 004; Longbing Cao (CoRR, 2024)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Ke Liu; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. - Hui He; Qi Zhang 020; Kun Yi 001; Xiaojun Xue; Shoujin Wang; Liang Hu 004; Longbing Cao (CoRR, 2024)

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. - Jiaxing Miao; Liang Hu 004; Qi Zhang 020; Longbing Cao (CoRR, 2024)

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Shoujin Wang; Junaid Rashid; Liang Hu 004; Amir Hussain 001 (Neurocomputing, 2024)

Deep Coupling Network for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Hui He; Kaize Shi; Liang Hu 004; Ning An 001; Zhendong Niu (ACM Trans. Inf. Syst., 2024)

Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Junaid Rashid; Mehwish Nasim (Soc. Netw. Anal. Min., 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu; Rongtao Xu; Ke Liu; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes. - Surendrabikram Thapa; Hariram Veeramani; Liang Hu 004; Qi Zhang 020; Wei Wang 077; Usman Naseem (ICWSM, 2025)

Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. - Yishuo Li; Qi Zhang 020; Wenpeng Lu; Xueping Peng; Weiyu Zhang 001; Jiasheng Si; Yongshun Gong; Liang Hu 004 (WWW, 2025)

CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning. - Yinghan Cheng; Qi Zhang 020; Chongyang Shi 001; Liang Xiao 010; Shufeng Hao; Liang Hu 004 (Knowl. Based Syst., 2025)

Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection. - Kehua Yuan; Duoqian Miao 001; Witold Pedrycz; Hongyun Zhang; Liang Hu 004 (IEEE Trans. Cybern., 2025)

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Dora D. Liu; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Junaid Rashid; Liang Hu 004 (IEEE Trans. Comput. Soc. Syst., 2025)

Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xuerong Zhao; Guangyin Bao; Liang Hu 004; Kun Yi 001; Yu Zhou (Inf. Fusion, 2026)