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ORCIDLiang Hu 0004
Person information
- affiliation: Tongji University, Department of Computer Science, Shanghai, China
- affiliation: University of Technology, Sydney, Australia
- affiliation: Shanghai Jiaotong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Liang Hu — disambiguation page
- Liang Hu 0001
![[0000-0002-6077-1873]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6077-1873")
— Jilin University, College of Computer Science and Technology, Changchun, China - Liang Hu 0002 — De Montfort University, School of Computer Science and Informatics, Leicester, UK (and 3 more)
- Liang Hu 0003 — Beijing Jiaotong University, School of Electronics and Information Engineering, China
- Liang Hu 0005 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China
- Liang Hu 0006 — Aalborg University, Department of Electronic Systems, Denmark
- Liang Hu 0007 — Iowa State University, Department of Civil, Construction, and Environmental Engineering, Ames, IA, USA
- Liang Hu 0008 — Shanghai Jiao Tong University, Department of Electronic Engineering, China (and 2 more)
- Liang Hu 0009 — Beihang University, School of Biological Science and Medical Engineering, Beijing, China
- Liang Hu 0010 — Zhejiang University, State Key Laboratory of CAD&CG, Hangzhou, China (and 1 more)
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2020 – today
- 2024
[j15]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain:
Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing 592: 127736 (2024)- [j14]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim:
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. Soc. Netw. Anal. Min. 14(1): 9 (2024) - [j13]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. 42(5): 127:1-127:28 (2024) - [c46]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434 - [c45]Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu:
Graph Reasoning Transformers for Knowledge-Aware Question Answering. AAAI 2024: 19652-19660 - [c44]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. ICML 2024 - [c43]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW 2024: 4128-4137 - [i25]Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao:
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. CoRR abs/2402.02158 (2024) - [i24]Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao:
DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR abs/2402.05948 (2024) - [i23]Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu:
MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR abs/2402.14834 (2024) - [i22]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR abs/2402.15134 (2024) - [i21]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. CoRR abs/2404.11938 (2024) - [i20]Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao:
MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. CoRR abs/2404.12630 (2024) - [i19]Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR abs/2404.13282 (2024) - [i18]Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu:
CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning. CoRR abs/2404.17609 (2024) - [i17]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. CoRR abs/2406.01460 (2024) - [i16]Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao:
Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR abs/2407.13194 (2024) - [i15]Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao:
Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. CoRR abs/2407.19183 (2024) - 2023
- [j12]Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu:
Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. Neurocomputing 558: 126701 (2023) - [j11]Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang, Jiahui Li, Guoqiang Wang:
PFEMed: Few-shot medical image classification using prior guided feature enhancement. Pattern Recognit. 134: 109108 (2023) - [j10]Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [c42]Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhong Yuan Lai:
Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. AAAI 2023: 844-853 - [c41]Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhong Yuan Lai:
A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. AAAI 2023: 12049-12057 - [c40]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim:
Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. ClinicalNLP@ACL 2023: 272-277 - [c39]Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang:
Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) 2023: 2148-2159 - [c38]Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu:
Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. EMNLP (Findings) 2023: 11807-11816 - [c37]Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao:
PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. ICDM 2023: 1229-1234 - [c36]Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu:
Syntax Tree Constrained Graph Network for Visual Question Answering. ICONIP (5) 2023: 122-136 - [c35]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023 - [c34]Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu:
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers. NeurIPS 2023 - [c33]Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim:
MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. SIGIR 2023: 2164-2168 - [c32]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [c31]Tangwei Ye, Liang Hu, Qi Zhang, Zhong Yuan Lai, Usman Naseem, Dora D. Liu:
Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. WWW 2023: 1172-1180 - [i14]Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem:
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. CoRR abs/2304.13895 (2023) - [i13]Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu:
Syntax Tree Constrained Graph Network for Visual Question Answering. CoRR abs/2309.09179 (2023) - [i12]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023) - [i11]Zixuan Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang Hu:
Lite-Mind: Towards Efficient and Versatile Brain Representation Network. CoRR abs/2312.03781 (2023) - [i10]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR abs/2312.11023 (2023) - [i9]Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu:
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast. CoRR abs/2312.13508 (2023) - 2022
- [j9]Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu:
Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. Knowl. Based Syst. 250: 108943 (2022) - [c30]Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu:
A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI 2022: 1651-1657 - [c29]Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang:
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. ECML/PKDD (2) 2022: 553-570 - [c28]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR 2022: 3425-3428 - [i8]Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal:
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR abs/2205.10759 (2022) - [i7]Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao:
Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. CoRR abs/2206.14523 (2022) - [i6]Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang:
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. CoRR abs/2209.00200 (2022) - [i5]Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu:
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR abs/2210.03093 (2022) - 2021
- [j8]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. 36(4): 56-64 (2021) - [c27]Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu:
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI 2021: 4671-4678 - [c26]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. IJCAI 2021: 4644-4652 - [i4]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu:
Graph Learning based Recommender Systems: A Review. CoRR abs/2105.06339 (2021) - 2020
- [j7]Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao:
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. 35(5): 3-6 (2020) - [c25]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI 2020: 4320-4327 - [c24]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI 2020: 6259-6266 - [c23]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI 2020: 2333-2339 - [i3]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR abs/2001.04830 (2020) - [i2]Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu:
Graph Learning Approaches to Recommender Systems: A Review. CoRR abs/2004.11718 (2020) - [i1]Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu:
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR abs/2006.04530 (2020)
2010 – 2019
- 2019
- [j6]Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao:
Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. IEEE Access 7: 98639-98651 (2019) - [c22]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao:
Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI 2019: 598-605 - [c21]Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan:
HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. AAAI 2019: 3830-3837 - [c20]Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao:
Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI 2019: 3771-3777 - [c19]Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun:
Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI 2019: 6332-6338 - 2018
- [b1]Liang Hu:
Non-IID recommender systems: a machine learning approach. University of Technology Sydney, Australia, 2018 - [j5]Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao:
Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. IEEE Intell. Syst. 33(6): 57-67 (2018) - [j4]Dingyu Yang, Jianmei Guo, Zhi-Jie Wang, Yuan Wang, Jingsong Zhang, Liang Hu, Jian Yin, Jian Cao:
FastPM: An approach to pattern matching via distributed stream processing. Inf. Sci. 453: 263-280 (2018) - [c18]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - [c17]Songlei Jian, Liang Hu, Longbing Cao, Kai Lu:
Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI 2018: 3318-3325 - [c16]Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen:
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI 2018: 3400-3406 - 2017
- [j3]Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang:
Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Inf. Syst. 35(3): 25:1-25:37 (2017) - [c15]Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu:
Diversifying Personalized Recommendation with User-session Context. IJCAI 2017: 1858-1864 - [c14]Shoujin Wang, Liang Hu, Longbing Cao:
Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2) 2017: 285-302 - 2016
- [j2]Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang:
Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Inf. Syst. 35(2): 13:1-13:37 (2016) - 2015
- [c13]Wei Cao, Liang Hu, Longbing Cao:
Deep Modeling Complex Couplings within Financial Markets. AAAI 2015: 2518-2524 - [c12]Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao:
Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA 2015: 1-10 - 2014
- [c11]Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao:
Deep Modeling of Group Preferences for Group-Based Recommendation. AAAI 2014: 1861-1867 - [c10]Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu:
Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. ICDM 2014: 851-856 - 2013
- [j1]Jian Cao, Wenxing Xu, Liang Hu, Jie Wang, Minglu Li:
A Social-Aware Service Recommendation Approach for Mashup Creation. Int. J. Web Serv. Res. 10(1): 53-72 (2013) - [c9]Wenxing Xu, Jian Cao, Liang Hu, Jie Wang, Minglu Li:
A Social-Aware Service Recommendation Approach for Mashup Creation. ICWS 2013: 107-114 - [c8]Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao:
Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. IJCAI 2013: 2626-2632 - [c7]Yue You, Guangyan Huang, Jian Cao, Enhong Chen, Jing He, Yanchun Zhang, Liang Hu:
GEAM: A General and Event-Related Aspects Model for Twitter Event Detection. WISE (2) 2013: 319-332 - [c6]Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu:
Personalized recommendation via cross-domain triadic factorization. WWW 2013: 595-606 - 2012
- [c5]Jian Cao, Jie Wang, Liang Hu, Rujie Lai:
A Service Intermediary Agent Framework for Web Service Integration. APSCC 2012: 14-21 - [c4]Qiuzi Shangguan, Liang Hu, Jian Cao, Guandong Xu:
Book Recommendation Based on Joint Multi-relational Model. CGC 2012: 523-530 - [c3]Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu:
Latent Informative Links Detection. KES 2012: 1233-1242 - 2010
- [c2]Liang Hu, Jian Cao, Zhiping Gu:
Service Discovery and Recommendation in Rough Hierarchical Granular Computing. APSCC 2010: 191-198
2000 – 2009
- 2008
- [c1]Liang Hu, Jian Cao, Zhiping Gu:
Modeling Semantic Web Service using Semantic Templates. SKG 2008: 165-172
Coauthor Index
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