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2020 – today
- 2023
[j47]Hongting Niu, Ying Sun, Hengshu Zhu
, Cong Geng, Jiuchun Yang, Hui Xiong, Bo Lang:
Exploring the tidal effect of urban business district with large-scale human mobility data. Frontiers Comput. Sci. 17(3): 173319 (2023)- [j46]Qi Zhang, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong:
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 82:1-82:21 (2023) - [j45]Junji Jiang, Likang Wu, Hongke Zhao, Hengshu Zhu, Wei Zhang:
Forecasting movements of stock time series based on hidden state guided deep learning approach. Inf. Process. Manag. 60(3): 103328 (2023) - [j44]Hao Liu, Qingyu Guo, Hengshu Zhu, Yanjie Fu, Fuzhen Zhuang, Xiaojuan Ma, Hui Xiong:
Characterizing and Forecasting Urban Vibrancy Evolution: A Multi-View Graph Mining Perspective. ACM Trans. Knowl. Discov. Data 17(5): 68:1-68:24 (2023) - [j43]Yang Yang, Jia-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiaoru Gao, Hui Xiong, Jian Yang:
Corporate Relative Valuation Using Heterogeneous Multi-Modal Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(1): 211-224 (2023) - [j42]Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Yuanchun Zhou, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. IEEE Trans. Knowl. Data Eng. 35(3): 2736-2749 (2023) - [j41]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2809-2822 (2023) - [j40]Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong:
MANE: Organizational Network Embedding With Multiplex Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(4): 4047-4061 (2023) - [j39]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [j38]Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [j37]Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang:
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising. IEEE Trans. Knowl. Data Eng. 35(6): 6489-6503 (2023) - [c86]Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu:
Towards a Better Characterization of IT Career Development Patterns. AMCIS 2023 - [c85]Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu:
Towards a Better Characterization of IT Career Development Patterns. AMCIS 2023 - [c84]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. ICDE 2023: 736-748 - [c83]Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong:
ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. ICDE 2023: 3154-3167 - [c82]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c81]Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong:
RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. KDD 2023: 3991-4002 - [c80]Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu:
BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment. KDD 2023: 4146-4155 - [c79]Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim:
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD 2023: 5909-5910 - [c78]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. RecSys 2023: 89-100 - [c77]Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong:
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach. RecSys 2023: 443-454 - [c76]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR 2023: 1721-1730 - [i34]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i33]Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, Hengshu Zhu:
The Future of ChatGPT-enabled Labor Market: A Preliminary Study. CoRR abs/2304.09823 (2023) - [i32]Ying Sun, Hengshu Zhu, Hui Xiong:
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic. CoRR abs/2305.00199 (2023) - [i31]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR abs/2305.10771 (2023) - [i30]Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong:
Preference or Intent? Double Disentangled Collaborative Filtering. CoRR abs/2305.11084 (2023) - [i29]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i28]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. CoRR abs/2306.14712 (2023) - [i27]Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong:
Generative Job Recommendations with Large Language Model. CoRR abs/2307.02157 (2023) - [i26]Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. CoRR abs/2307.03195 (2023) - [i25]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR abs/2307.05722 (2023) - [i24]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR abs/2307.07134 (2023) - [i23]Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang:
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR abs/2307.10747 (2023) - 2022
- [j36]Yiqi Tong, Fuzhen Zhuang, Huajie Zhang, Chuyu Fang, Yu Zhao, Deqing Wang, Hengshu Zhu, Bin Ni:
Improving biomedical named entity recognition by dynamic caching inter-sentence information. Bioinform. 38(16): 3976-3983 (2022) - [j35]Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, Hui Xiong:
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model. INFORMS J. Comput. 34(5): 2443-2463 (2022) - [j34]Xi Zhang, Xin Wei, Carol X. J. Ou, Emiel Caron, Hengshu Zhu, Hui Xiong:
From Human-AI Confrontation to Human-AI Symbiosis in Society 5.0: Transformation Challenges and Mechanisms. IT Prof. 24(3): 43-51 (2022) - [j33]Hongting Niu, Hengshu Zhu, Ying Sun, Xinjiang Lu, Jing Sun, Zhiyuan Zhao, Hui Xiong, Bo Lang:
Exploring the Risky Travel Area and Behavior of Car-hailing Service. ACM Trans. Intell. Syst. Technol. 13(1): 9:1-9:22 (2022) - [j32]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [j31]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [j30]Renjun Hu, Jingbo Zhou, Xinjiang Lu, Hengshu Zhu, Shuai Ma, Hui Xiong:
$\mathsf{NCF}$NCF: A Neural Context Fusion Approach to Raw Mobility Annotation. IEEE Trans. Mob. Comput. 21(1): 226-238 (2022) - [j29]Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - [j28]Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. 40(4): 70:1-70:32 (2022) - [c75]Xin Wei, Xi Zhang, Carol Ou, Hengshu Zhu:
Identifying Turnover Contagion in Enterprise Social Networks. AMCIS 2022 - [c74]Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong:
Knowledge Enhanced Person-Job Fit for Talent Recruitment. ICDE 2022: 3467-3480 - [c73]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI 2022: 2016-2022 - [c72]Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang:
Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. IJCAI 2022: 2174-2181 - [c71]Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong:
Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. KDD 2022: 2957-2967 - [c70]Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, Hengshu Zhu:
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment. ACM Multimedia 2022: 1612-1620 - [c69]Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu:
Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. WSDM 2022: 353-362 - [i22]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i21]Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu:
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. CoRR abs/2205.07867 (2022) - [i20]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR abs/2211.10615 (2022) - [i19]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. CoRR abs/2211.14633 (2022) - 2021
- [j27]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109(1): 43-76 (2021) - [j26]Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong:
Butterfly-Core Community Search over Labeled Graphs. Proc. VLDB Endow. 14(11): 2006-2018 (2021) - [j25]Mingfei Teng, Hengshu Zhu, Chuanren Liu, Hui Xiong:
Exploiting Network Fusion for Organizational Turnover Prediction. ACM Trans. Manag. Inf. Syst. 12(2): 16:1-16:18 (2021) - [j24]Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong:
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results. ACM Trans. Inf. Syst. 39(3): 37:1-37:32 (2021) - [j23]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(5): 3068-3079 (2021) - [c68]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI 2021: 4081-4089 - [c67]Yihang Cheng, Xi Zhang, Xinlin Tang, Hengshu Zhu:
Is AI Better Than Human in Identifying High-Potential Talents: A Quasi-Field Experiment. AMCIS 2021 - [c66]Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong:
An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. CIKM 2021: 2383-2393 - [c65]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c64]Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong:
Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. KDD 2021: 2192-2201 - [c63]Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong:
Talent Demand Forecasting with Attentive Neural Sequential Model. KDD 2021: 3906-3916 - [c62]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. KDD 2021: 3937-3947 - [c61]Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang:
TMC 2021: 2021 International Workshop on Talent and Management Computing. KDD 2021: 4169-4170 - [c60]Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong:
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS 2021: 14681-14693 - [c59]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c58]Yuqing Zhao, Xi Zhang, Xinlin Tang, Chuan Qin, Hengshu Zhu:
Embedding Fairness into the AI-Based Talent Recruitment Systems：The Perspective of Environment Cycle and Knowledge Cycle. PACIS 2021: 15 - [c57]Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong:
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. WWW 2021: 612-623 - [c56]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021: 3827-3838 - [i18]Zheng Dong, Xin Huang, Guorui Yuan, Hengshu Zhu, Hui Xiong:
Butterfly-Core Community Search over Labeled Graphs. CoRR abs/2105.08628 (2021) - [i17]Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong:
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. CoRR abs/2107.05180 (2021) - [i16]Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang:
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning. CoRR abs/2110.11767 (2021) - [i15]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR abs/2110.12381 (2021) - [i14]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - 2020
- [j22]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [j21]Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen:
Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Networks. IEEE Trans. Mob. Comput. 19(8): 1804-1817 (2020) - [j20]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong:
An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment. ACM Trans. Inf. Syst. 38(2): 15:1-15:33 (2020) - [j19]Hao Lin, Hengshu Zhu, Junjie Wu, Yuan Zuo, Chen Zhu, Hui Xiong:
Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models. ACM Trans. Inf. Syst. 38(4): 32:1-32:33 (2020) - [j18]Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong:
Matching of social events and users: a two-way selection perspective. World Wide Web 23(2): 853-871 (2020) - [c55]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. AAAI 2020: 6127-6136 - [c54]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619 - [c53]Xi Zhang, Yuqing Zhao, Xinlin Tang, Hengshu Zhu, Hui Xiong:
Developing Fairness Rules for Talent Intelligence Management System. HICSS 2020: 1-10 - [c52]Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong:
Personalized Employee Training Course Recommendation with Career Development Awareness. WWW 2020: 1648-1659 - [c51]Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Embedding for Company Competitive Analysis. WWW 2020: 2354-2364 - [i13]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. CoRR abs/2002.09841 (2020) - [i12]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i11]Yang Yang, Zhen-Qiang Sun, Hengshu Zhu, Yanjie Fu, Hui Xiong, Jian Yang:
Learning Adaptive Embedding Considering Incremental Class. CoRR abs/2008.13351 (2020) - [i10]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR abs/2009.07429 (2020) - [i9]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. CoRR abs/2012.15037 (2020)
2010 – 2019
- 2019
- [j17]Yanjie Fu, Guannan Liu, Yong Ge, Pengyang Wang, Hengshu Zhu, Chunxiao Li, Hui Xiong:
Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data. IEEE Trans. Knowl. Data Eng. 31(3): 535-548 (2019) - [j16]Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen:
Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation. IEEE Trans. Knowl. Data Eng. 31(6): 1122-1135 (2019) - [j15]Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu:
Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling. IEEE Trans. Knowl. Data Eng. 31(10): 1926-1939 (2019) - [c50]Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong:
Exploiting the Contagious Effect for Employee Turnover Prediction. AAAI 2019: 1166-1173 - [c49]Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen:
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2019: 5773-5780 - [c48]Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong:
Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM 2019: 2763-2771 - [c47]Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong:
Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. ICDM 2019: 718-727 - [c46]Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu:
Aftershock Detection with Multi-scale Description Based Neural Network. ICDM 2019: 886-895 - [c45]Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong:
Trend-Aware Tensor Factorization for Job Skill Demand Analysis. IJCAI 2019: 3891-3897 - [c44]Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong:
A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. KDD 2019: 14-24 - [c43]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633 - [c42]Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong:
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. KDD 2019: 2165-2173 - [c41]Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen:
Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? WWW 2019: 2312-2322 - [i8]Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. CoRR abs/1906.00156 (2019) - [i7]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. CoRR abs/1911.02685 (2019) - [i6]Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong:
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. CoRR abs/1911.09275 (2019) - 2018
- [j14]Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li:
Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning. ACM Trans. Manag. Inf. Syst. 9(3): 12:1-12:17 (2018) - [j13]Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du:
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending. IEEE Trans. Syst. Man Cybern. Syst. 48(1): 21-33 (2018) - [c40]Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong:
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. AAAI 2018: 2572-2579 - [c39]Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong:
Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach. ICDM 2018: 337-346 - [c38]Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin:
CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. ICDM 2018: 757-766 - [c37]