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ORCIDJian Yang 0001
Person information
- affiliation: Macquarie University, Sydney, Australia
- affiliation (former): Tilburg University, The Netherlands
Other persons with the same name
- Jian Yang — disambiguation page
- Jian Yang 0002 — Yahoo Labs, Santa Clara, CA, USA
- Jian Yang 0003
![[0000-0003-4800-832X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4800-832X")
— Nanjing University of Science and Technology, School of Computer Science and Engineering, China (and 4 more) - Jian Yang 0004 — University of Toronto, Department of Geography, Canada
- Jian Yang 0005 — University of Queensland, Brisbane, QLD, Australia (and 1 more)
- Jian Yang 0006 — University of Colorado Denver, Business School, CO, USA (and 2 more)
- Jian Yang 0007 — Chinese Academy Medical Sciences and Peking Union Medical College, Beijing, China
- Jian Yang 0008 — Guangdong University of Technology, Faculty of Automation, China
- Jian Yang 0009 — Beijing Institute of Technology, School of Optics and Electronics, Key Laboratory of Photoelectronic Imaging Technology and System, China
- Jian Yang 0010 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China
- Jian Yang 0011 — Tsinghua University, Department of Electronic Engineering, Beijing, China (and 1 more)
- Jian Yang 0012 — Rutgers University, Department of Management Science and Information Systems, Business School, Newark, NJ, USA
- Jian Yang 0013 — Chinese Academy of Sciences, Institute of Applied Ecology, Shenyang, China (and 1 more)
- Jian Yang 0014 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- Jian Yang 0015 — ZheJiang University, Institute of VLSI Design, Hangzhou, China
- Jian Yang 0016 — Beijing University of Technology, International WIC Institute, China
- Jian Yang 0017 — Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Jian Yang 0018 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA
- Jian Yang 0019 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 1 more)
- Jian Yang 0020 — National University of Defense Technology, Nanjing, China (and 1 more)
- Jian Yang 0021 — Harbin Institute of Technology, School of Electronics and Information Engineering, Underwater Acoustics, China
- Jian Yang 0022 — Chinese Academy of Sciences, Institute of Intelligent Machines, Research Center for Information Technology of Sports and Health, Hefei, China
- Jian Yang 0023 — Central South University, School of Information Science and Engineering, Changsha, China (and 2 more)
- Jian Yang 0024 — National University of Defense Technology, Changsha, China
- Jian Yang 0025 — Chinese Academy of Sciences, Institute of Semiconductors, Beijing, China
- Jian Yang 0026 — Arizona State University, Tempe, USA
- Jian Yang 0027 — Xidian University, School of Telecommunications Engineering, China
- Jian Yang 0028 — Xidian University, School of Electronic Engineering, China (and 1 more)
- Jian Yang 0029 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Jian Yang 0030 — Beihang University, State Key Lab of Software Development Environment, Beijing, China
- Jian Yang 0031 — Southern University of Science and Technology, SUSTech, Department of Computer Science and Engineering, ShenZhen, China
- Jian Yang 0032 — Yangzhou University, College of Mechanical Engineering, China (and 1 more)
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2020 – today
- 2024
[j63]Danfeng Sun, Junjie Hu, Huifeng Wu, Jia Wu, Jian Yang, Quan Z. Sheng, Schahram Dustdar:
A Comprehensive Survey on Collaborative Data-access Enablers in the IIoT. ACM Comput. Surv. 56(2): 50:1-50:37 (2024)- [j62]Malik Khizar Hayat, Shan Xue, Jia Wu, Jian Yang:
Heterogeneous Hypergraph Embedding for Node Classification in Dynamic Networks. IEEE Trans. Artif. Intell. 5(11): 5465-5477 (2024) - [j61]Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan:
Knowledge Graph Enhanced Heterogeneous Graph Neural Network for Fake News Detection. IEEE Trans. Consumer Electron. 70(1): 2826-2837 (2024) - [j60]Jia Wu, Jian Yang, Philip S. Yu, Carlo Condo:
Special Section on Community Detection in Time-Varying Information and Computing Networks: Theory, Models, and Applications. IEEE Trans. Emerg. Top. Comput. 12(2): 402 (2024) - [j59]Taotao Cai, Qi Lei, Quan Z. Sheng, Ningning Cui, Shuiqiao Yang, Jian Yang, Wei Emma Zhang, Adnan Mahmood:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. IEEE Trans. Knowl. Data Eng. 36(5): 2151-2165 (2024) - [j58]Xuexiong Luo, Sheng Zhang, Jia Wu, Hongyang Chen, Hao Peng, Chuan Zhou, Zhao Li, Shan Xue, Jian Yang:
ReiPool: Reinforced Pooling Graph Neural Networks for Graph-Level Representation Learning. IEEE Trans. Knowl. Data Eng. 36(12): 9109-9122 (2024) - [j57]Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection With Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4682-4702 (2024) - [j56]Hao Peng, Jian Yang, Jia Wu, Philip S. Yu:
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 2. ACM Trans. Web 18(2): 16:1-16:2 (2024) - [c179]Haojie Zhuang, Wei Emma Zhang, Jian Yang, Weitong Chen, Quan Z. Sheng:
Not All Negatives are Equally Negative: Soft Contrastive Learning for Unsupervised Sentence Representations. CIKM 2024: 3591-3601 - [c178]Haojie Zhuang, Wei Emma Zhang, Chang Dong, Jian Yang, Quan Sheng:
Trainable Hard Negative Examples in Contrastive Learning for Unsupervised Abstractive Summarization. EACL (Findings) 2024: 1589-1600 - [c177]Xiaoxiao Ma, Yuchen Zhang, Kaize Ding, Jian Yang, Jia Wu, Hao Fan:
On Fake News Detection with LLM Enhanced Semantics Mining. EMNLP 2024: 508-521 - [c176]Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks (Extended Abstract). ICDE 2024: 5723-5724 - [c175]Yutong Qu, Jian Yang, Wei Emma Zhang, Weitong Chen, Hong Qing Yu:
Data-Product Catalogues: Envisioning with Knowledge-aware Natural Language Processing. ICWS 2024: 45-54 - [c174]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. IJCAI 2024: 8170-8178 - [c173]Xiaoxiao Ma, Ruikun Li, Fanzhen Liu, Kaize Ding, Jian Yang, Jia Wu:
Graph Anomaly Detection with Few Labels: A Data-Centric Approach. KDD 2024: 2153-2164 - [c172]Jing Du, Guangwei Dong, Congbo Ma, Shan Xue, Jia Wu, Jian Yang, Amin Beheshti, Quan Z. Sheng, Alexis Giral:
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification. MICCAI (10) 2024: 229-239 - [c171]Haojie Zhuang, Wei Emma Zhang, Leon Xie, Weitong Chen, Jian Yang, Quan Sheng:
Automatic, Meta and Human Evaluation for Multimodal Summarization with Multimodal Output. NAACL-HLT 2024: 7768-7790 - [c170]Xuexiong Luo, Guangwei Dong, Jia Wu, Amin Beheshti, Jian Yang, Shan Xue:
An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis. WSDM 2024: 1074-1077 - [c169]Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan:
Heterogeneous Subgraph Transformer for Fake News Detection. WWW 2024: 1272-1282 - [c168]Zitai Qiu, Congbo Ma, Jia Wu, Jian Yang:
An Efficient Automatic Meta-Path Selection for Social Event Detection via Hyperbolic Space. WWW 2024: 2519-2529 - [i20]Yuchen Zhang, Xiaoxiao Ma, Jia Wu, Jian Yang, Hao Fan:
Heterogeneous Subgraph Transformer for Fake News Detection. CoRR abs/2404.13192 (2024) - [i19]Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Quan Z. Sheng, David McAlpine, Paul F. Sowman, Alexis Giral, Philip S. Yu:
Graph Neural Networks for Brain Graph Learning: A Survey. CoRR abs/2406.02594 (2024) - 2023
- [j55]Naime Ranjbar Kermany, Weiliang Zhao, Tseesuren Batsuuri, Jian Yang, Jia Wu:
Incorporating user rating credibility in recommender systems. Future Gener. Comput. Syst. 147: 30-43 (2023) - [j54]Huanyu Zhao, Tongliang Li, Jian Yang, Chaoyi Pang:
An error-bounded median filter for correcting ECG baseline wander. Health Inf. Sci. Syst. 11(1): 45 (2023) - [j53]Tarique Anwar, Surya Nepal, Cécile Paris, Jian Yang, Jia Wu, Quan Z. Sheng:
Tracking the Evolution of Clusters in Social Media Streams. IEEE Trans. Big Data 9(2): 701-715 (2023) - [j52]Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. IEEE Trans. Knowl. Data Eng. 35(7): 7030-7044 (2023) - [j51]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu:
A Comprehensive Survey on Graph Anomaly Detection With Deep Learning. IEEE Trans. Knowl. Data Eng. 35(12): 12012-12038 (2023) - [j50]Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao:
Online Active Learning for Drifting Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(1): 186-200 (2023) - [j49]Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Shan Xue, Qianli Xing, Philip S. Yu:
C-DeepTrust: A Context-Aware Deep Trust Prediction Model in Online Social Networks. IEEE Trans. Neural Networks Learn. Syst. 34(6): 2767-2780 (2023) - [j48]Hao Peng, Jian Yang, Jia Wu, Philip S. Yu:
Introduction to the Special Issue on Advanced Graph Mining on the Web: Theory, Algorithms, and Applications: Part 1. ACM Trans. Web 17(3): 14:1-14:2 (2023) - [c167]Wei He, Guohao Sun, Jinhu Lu, Xiu Fang, Guanfeng Liu, Jian Yang:
Refined Node Type Graph Convolutional Network for Recommendation. ADMA (1) 2023: 91-106 - [c166]Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong:
Discriminative Graph-Level Anomaly Detection via Dual-Students-Teacher Model. ADMA (3) 2023: 261-276 - [c165]Yuchen Zhang, Xing Su, Jia Wu, Jian Yang, Hao Fan, Xiaochuan Zheng:
EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection. ADMA (1) 2023: 352-367 - [c164]Yongsheng Yu, Jia Wu, Jian Yang:
Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network. IEEE Big Data 2023: 463-472 - [c163]Jinhu Lu, Guohao Sun, Xiu Fang, Jian Yang, Wei He:
A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation. DASFAA (2) 2023: 297-313 - [c162]Wei Zhang, Perry Chen, Jian Yang, Yongping Tang, Jianwen Su:
A Capability Description Language Design for Data Products. DEC@SIGMOD 2023: 21-26 - [c161]Huanyu Zhao, Chaoyi Pang, Kotagiri Ramamohanarao, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-connected PLA Algorithm with Maximum Error Bound (Extended Abstract). ICDE 2023: 3789-3790 - [c160]Malik Khizar Hayat, Shan Xue, Jian Yang:
Self-supervised Heterogeneous Hypergraph Learning with Context-aware Pooling for Graph-level Classification. ICDM 2023: 140-149 - [c159]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. ICWS 2023: 731-739 - [c158]Wei Emma Zhang, Perry Chen, Jian Yang, Jianwen Su, Quan Z. Sheng:
Data Product-Oriented Services for Data Ecosystem. ICWS 2023: 755-762 - [c157]Xiu Susie Fang, Quan Z. Sheng, Guohao Sun, Shan Chang, Hongya Wang, Jian Yang:
Multi-Truth Discovery While Being Aware of Unbalanced Data Distribution. IJCNN 2023: 1-10 - [c156]Xiaoxiao Ma, Jia Wu, Jian Yang, Quan Z. Sheng:
Towards Graph-level Anomaly Detection via Deep Evolutionary Mapping. KDD 2023: 1631-1642 - [c155]Jinhu Lu, Guohao Sun, Xiu Fang, Jian Yang, Wei He:
A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation. ACM Multimedia 2023: 6332-6339 - [c154]Bingbing Xie, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Hao Fan:
Heterogeneous Graph Neural Network via Knowledge Relations for Fake News Detection. SSDBM 2023: 15:1-15:11 - [c153]Wei Huang, Guohao Sun, Mei Wang, Weiliang Zhao, Jian Yang:
Influence Embedding from Incomplete Observations in Sina Weibo. WISE 2023: 111-121 - [c152]Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu:
Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. WISE 2023: 160-175 - [c151]Xing Su, Jian Yang, Jia Wu, Yuchen Zhang:
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. WSDM 2023: 51-59 - [c150]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su:
Minimum Entropy Principle Guided Graph Neural Networks. WSDM 2023: 114-122 - [e7]Claudio A. Ardagna, Boualem Benatallah, Hongyi Bian, Carl K. Chang, Rong N. Chang, Jing Fan, Geoffrey C. Fox, Zhi Jin, Xuanzhe Liu, Heiko Ludwig, Michael Sheng, Jian Yang:
IEEE International Conference on Web Services, ICWS 2023, Chicago, IL, USA, July 2-8, 2023. IEEE 2023, ISBN 979-8-3503-0485-5 [contents] - [i18]Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023) - [i17]Zitai Qiu, Jia Wu, Jian Yang, Xing Su, Charu C. Aggarwal:
Heterogeneous Social Event Detection via Hyperbolic Graph Representations. CoRR abs/2302.10362 (2023) - [i16]Amin Beheshti, Jian Yang, Quan Z. Sheng, Boualem Benatallah, Fabio Casati, Schahram Dustdar, Hamid Reza Motahari-Nezhad, Xuyun Zhang, Shan Xue:
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence. CoRR abs/2306.01771 (2023) - [i15]Fu Lin, Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Zitong Wang, Haonan Gong:
Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model. CoRR abs/2308.01947 (2023) - [i14]Xing Su, Jian Yang, Jia Wu, Zitai Qiu:
Hy-DeFake: Hypergraph Neural Networks for Detecting Fake News in Online Social Networks. CoRR abs/2309.02692 (2023) - 2022
- [j47]Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu:
Knowledge-aware document summarization: A survey of knowledge, embedding methods and architectures. Knowl. Based Syst. 257: 109882 (2022) - [j46]Huanyu Zhao, Chaoyi Pang, Ramamohanarao Kotagiri, Christopher Kuo Pang, Ke Deng, Jian Yang, Tongliang Li:
An Optimal Online Semi-Connected PLA Algorithm With Maximum Error Bound. IEEE Trans. Knowl. Data Eng. 34(1): 164-177 (2022) - [j45]Xiaoxiao Ma, Shan Xue, Jia Wu, Jian Yang, Cécile Paris, Surya Nepal, Quan Z. Sheng:
Deep Multi-Attributed-View Graph Representation Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3762-3774 (2022) - [j44]Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao:
eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks. ACM Trans. Inf. Syst. 40(3): 47:1-47:29 (2022) - [j43]Bin Cao, Jiaxing Wang, Jing Fan, Shuiguang Deng, Jian Yang, Weiliang Zhao, Jianwei Yin, Mengchu Zhou:
ProDiff: A Process Difference Detection Method Based on Hierarchical Decomposition. IEEE Trans. Serv. Comput. 15(1): 513-526 (2022) - [j42]Fanzhen Liu, Zhao Li, Baokun Wang, Jia Wu, Jian Yang, Jiaming Huang, Yiqing Zhang, Weiqiang Wang, Shan Xue, Surya Nepal, Quan Z. Sheng:
eRiskCom: an e-commerce risky community detection platform. VLDB J. 31(5): 1085-1101 (2022) - [c149]Haojie Zhuang, Wei Emma Zhang, Jian Yang, Congbo Ma, Yutong Qu, Quan Z. Sheng:
Learning From the Source Document: Unsupervised Abstractive Summarization. EMNLP (Findings) 2022: 4194-4205 - [c148]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. ICDM 2022: 259-268 - [c147]Naime Ranjbar Kermany, Luiz Pizzato, Jian Yang, Shan Xue, Jia Wu:
PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System. ICSOC 2022: 331-339 - [c146]Xiaolin Wang, Guohao Sun, Xiu Fang, Jian Yang, Shoujin Wang:
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation. IJCAI 2022: 3530-3536 - [c145]Xiu Susie Fang, Quan Z. Sheng, Jian Yang, Guohao Sun, Xianzhi Wang, Yihong Zhang:
Resolving Conflicts among Unbalanced Multi-Source Data When Multi-Value Objects Exist. INFOCOM Workshops 2022: 1-2 - [c144]Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu C. Aggarwal:
Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection. NeurIPS 2022 - [c143]Xuexiong Luo, Jia Wu, Amin Beheshti, Jian Yang, Xiankun Zhang, Yuan Wang, Shan Xue:
ComGA: Community-Aware Attributed Graph Anomaly Detection. WSDM 2022: 657-665 - [c142]Naime Ranjbar Kermany, Jian Yang, Jia Wu, Luiz Pizzato:
Fair-SRS: A Fair Session-based Recommendation System. WSDM 2022: 1601-1604 - [i13]Taotao Cai, Quan Z. Sheng, Xiangyu Song, Jian Yang, Wei Emma Zhang, Jia Wu, Philip S. Yu:
A Survey on Location-Driven Influence Maximization. CoRR abs/2204.08005 (2022) - [i12]Yutong Qu, Wei Emma Zhang, Jian Yang, Lingfei Wu, Jia Wu, Xindong Wu:
Embedding Knowledge for Document Summarization: A Survey. CoRR abs/2204.11190 (2022) - [i11]Taotao Cai, Qi Lei, Quan Z. Sheng, Shuiqiao Yang, Jian Yang, Wei Emma Zhang:
Reconnecting the Estranged Relationships: Optimizing the Influence Propagation in Evolving Networks. CoRR abs/2205.05236 (2022) - [i10]Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Wenbin Hu, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu Aggarwal:
Graph-level Neural Networks: Current Progress and Future Directions. CoRR abs/2205.15555 (2022) - [i9]Venus Haghighi, Behnaz Soltani, Adnan Mahmood, Quan Z. Sheng, Jian Yang:
GCN-based Multi-task Representation Learning for Anomaly Detection in Attributed Networks. CoRR abs/2207.03688 (2022) - [i8]Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal:
DAGAD: Data Augmentation for Graph Anomaly Detection. CoRR abs/2210.09766 (2022) - [i7]Xing Su, Jian Yang, Jia Wu, Yuchen Zhang:
Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks. CoRR abs/2212.10778 (2022) - 2021
- [j41]Peiyao Li, Weiliang Zhao, Jian Yang, Jia Wu:
CoTrRank: Trust Ranking on Twitter. IEEE Intell. Syst. 36(1): 35-45 (2021) - [j40]Wei Emma Zhang, Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Xiujuan Xu, Jian Yang:
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data. IEEE Trans. Big Data 7(2): 327-340 (2021) - [j39]Zhenchang Xia, Jia Wu, Libing Wu, Yanjiao Chen, Jian Yang, Philip S. Yu:
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks. ACM Trans. Intell. Syst. Technol. 12(4): 37:1-37:30 (2021) - [j38]Danfeng Sun, Jia Wu, Jian Yang, Huifeng Wu:
Intelligent Data Collaboration in Heterogeneous-device IoT Platforms. ACM Trans. Sens. Networks 17(3): 22:1-22:17 (2021) - [j37]Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu, Luiz Pizzato:
A fairness-aware multi-stakeholder recommender system. World Wide Web 24(6): 1995-2018 (2021) - [c141]Jian Yang, Yongping Tang, Amin Beheshti:
Design Methodology for Service-Based Data Product Sharing and Trading. Next-Gen Digital Services 2021: 221-235 - [c140]Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng:
FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance. ICDM 2021: 867-876 - [c139]Amin Beheshti, Boualem Benatallah, Quan Z. Sheng, Fabio Casati, Hamid Reza Motahari-Nezhad, Jian Yang, Aditya Ghose:
AI-Enabled Processes: The Age of Artificial Intelligence and Big Data. ICSOC Workshops 2021: 321-335 - [c138]Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang:
TWLR: A Novel Truth Inference Approach based on Worker Representations for Crowdsourcing in the Low Redundancy Situation. ICWS 2021: 79-86 - [c137]Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang:
WorP: A Novel Worker Performance Prediction Model for General Tasks on Crowdsourcing Platforms. ICWS 2021: 161-166 - [i6]Taotao Cai, Shuiqiao Yang, Jianxin Li, Quan Z. Sheng, Jian Yang, Xin Wang, Wei Emma Zhang, Longxiang Gao:
Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. CoRR abs/2105.04742 (2021) - [i5]Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu:
A Comprehensive Survey on Community Detection with Deep Learning. CoRR abs/2105.12584 (2021) - [i4]Yang Guo, Tarique Anwar, Jian Yang, Jia Wu:
dFDA-VeD: A Dynamic Future Demand Aware Vehicle Dispatching System. CoRR abs/2106.05737 (2021) - [i3]Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Quan Z. Sheng, Hui Xiong:
A Comprehensive Survey on Graph Anomaly Detection with Deep Learning. CoRR abs/2106.07178 (2021) - 2020
- [j36]Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng:
MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. 35(5): 7-17 (2020) - [j35]Robertus Nugroho, Cécile Paris, Surya Nepal, Jian Yang, Weiliang Zhao:
A survey of recent methods on deriving topics from Twitter: algorithm to evaluation. Knowl. Inf. Syst. 62(7): 2485-2519 (2020) - [j34]Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Anne H. H. Ngu, Jian Yang:
From Appearance to Essence: Comparing Truth Discovery Methods without Using Ground Truth. ACM Trans. Intell. Syst. Technol. 11(6): 74:1-74:24 (2020) - [j33]Lei Han, Jian Yang, Weiliang Zhao, Quan Z. Sheng:
User Interface Derivation for Business Processes. IEEE Trans. Knowl. Data Eng. 32(3): 560-573 (2020) - [j32]Robertus Nugroho, Jian Yang, Weiliang Zhao, Cécile Paris, Surya Nepal:
What and With Whom? Identifying Topics in Twitter Through Both Interactions and Text. IEEE Trans. Serv. Comput. 13(3): 584-596 (2020) - [j31]Fanzhen Liu, Jia Wu, Shan Xue, Chuan Zhou, Jian Yang, Quanzheng Sheng:
Detecting the evolving community structure in dynamic social networks. World Wide Web 23(2): 715-733 (2020) - [j30]Peiyao Li, Weiliang Zhao, Jian Yang, Quan Z. Sheng, Jia Wu:
Let's CoRank: trust of users and tweets on social networks. World Wide Web 23(5): 2877-2901 (2020) - [c136]Yang Guo, Weiliang Zhao, Jian Yang, Zizhu Zhang, Jia Wu, Tarique Anwar:
FDA-VeD: A Future-Demand-Aware Vehicle Dispatching Service. SCC 2020: 345-352 - [c135]Naime Ranjbar Kermany, Weiliang Zhao, Jian Yang, Jia Wu, Luiz Pizzato:
An Ethical Multi-Stakeholder Recommender System Based on Evolutionary Multi-Objective Optimization. SCC 2020: 478-480 - [c134]Haiqin Lu, Mei Wang, Weiliang Zhao, Tingwei Su, Jian Yang:
Hyperthyroidism Progress Prediction with Enhanced LSTM. APWeb/WAIM (2) 2020: 209-217 - [c133]Qi Wang, Weiliang Zhao, Jian Yang, Jia Wu, Chuan Zhou, Qianli Xing:
AtNE-Trust: Attributed Trust Network Embedding for Trust Prediction in Online Social Networks. ICDM 2020: 601-610 - [c132]Min Fu, Jiwei Guan, James Xi Zheng, Jie Zhou, Jianchao Lu, Tianyi Zhang, Shoujie Zhuo, Lijun Zhan, Jian Yang:
ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses. ICSOC 2020: 370-385 - [c131]Qianli Xing, Weiliang Zhao, Jian Yang, Jia Wu, Qi Wang:
PB-Worker: A Novel Participating Behavior-based Worker Ability Model for General Tasks on Crowdsourcing Platforms. ICWS 2020: 37-44 - [c130]Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu:
Deep Learning for