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2020 – today
- 2024
[j64]Rui Chang, Xin Wei
, Xi Zhang, Hui Xiong, Hengshu Zhu:
How recommendation letters affect career Mobility：Evidence from a social networking sites LinkedIn. Comput. Hum. Behav. 152: 108084 (2024)- [j63]Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong:
Mining technology trends in scientific publications: a graph propagated neural topic modeling approach. Knowl. Inf. Syst. 66(5): 3085-3114 (2024) - [j62]Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong:
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction. IEEE Trans. Big Data 10(1): 35-54 (2024) - [j61]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j60]Yang Yang, Hongchen Wei, Hengshu Zhu, Dianhai Yu, Hui Xiong, Jian Yang:
Exploiting Cross-Modal Prediction and Relation Consistency for Semisupervised Image Captioning. IEEE Trans. Cybern. 54(2): 890-902 (2024) - [j59]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong:
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. 36(7): 3429-3442 (2024) - [j58]Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong:
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment. IEEE Trans. Knowl. Data Eng. 36(11): 5681-5694 (2024) - [j57]Yuyang Ye, Hengshu Zhu, Tianyi Cui, Runlong Yu, Le Zhang, Hui Xiong:
University Evaluation Through Graduate Employment Prediction: An Influence Based Graph Autoencoder Approach. IEEE Trans. Knowl. Data Eng. 36(11): 7255-7267 (2024) - [j56]Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong:
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. ACM Trans. Inf. Syst. 42(1): 27:1-27:32 (2024) - [j55]Yang Yang, Chubing Zhang, Xin Song, Zheng Dong, Hengshu Zhu, Wenjie Li:
Contextualized Knowledge Graph Embedding for Explainable Talent Training Course Recommendation. ACM Trans. Inf. Syst. 42(2): 33:1-33:27 (2024) - [j54]Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong:
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42(2): 56:1-56:32 (2024) - [j53]Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu, Hengshu Zhu, Enhong Chen:
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. ACM Trans. Inf. Syst. 42(4): 110:1-110:28 (2024) - [j52]Chuang Zhao, Hongke Zhao, Hengshu Zhu, Zhenya Huang, Nan Feng, Enhong Chen, Hui Xiong:
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment. IEEE Trans. Syst. Man Cybern. Syst. 54(9): 5283-5295 (2024) - [j51]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. World Wide Web (WWW) 27(5): 60 (2024) - [c108]Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang:
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. AAAI 2024: 8363-8371 - [c107]Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang:
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. AAAI 2024: 8877-8885 - [c106]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI 2024: 9178-9186 - [c105]Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu:
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. AAAI 2024: 19813-19822 - [c104]Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu:
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. APWeb/WAIM (1) 2024: 280-294 - [c103]Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. DASFAA (4) 2024: 273-290 - [c102]Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong:
Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. DASFAA (6) 2024: 353-363 - [c101]Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu:
Make Large Language Model a Better Ranker. EMNLP (Findings) 2024: 918-929 - [c100]Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong:
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. ICME 2024: 1-6 - [c99]Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong:
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. IJCAI 2024: 2009-2017 - [c98]Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu:
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. IJCAI 2024: 2261-2269 - [c97]Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. KDD 2024: 1004-1015 - [c96]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. KDD 2024: 3714-3723 - [c95]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD 2024: 4047-4058 - [c94]Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim:
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD 2024: 6759-6760 - [c93]Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong:
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment. SIGIR 2024: 543-552 - [c92]Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong:
Harnessing Large Language Models for Text-Rich Sequential Recommendation. WWW 2024: 3207-3216 - [c91]Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong:
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. WWW 2024: 3976-3985 - [c90]Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu:
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. WWW 2024: 4479-4488 - [i57]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR abs/2401.10749 (2024) - [i56]Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu:
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. CoRR abs/2401.17838 (2024) - [i55]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen:
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. CoRR abs/2402.11163 (2024) - [i54]Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong:
Harnessing Large Language Models for Text-Rich Sequential Recommendation. CoRR abs/2403.13325 (2024) - [i53]Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu:
Make Large Language Model a Better Ranker. CoRR abs/2403.19181 (2024) - [i52]Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong:
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer. CoRR abs/2404.04313 (2024) - [i51]Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. CoRR abs/2404.08695 (2024) - [i50]Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong:
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. CoRR abs/2404.13067 (2024) - [i49]Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong:
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR abs/2406.11920 (2024) - [i48]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR abs/2406.12465 (2024) - [i47]Lan Chen, Yufei Ji, Xichen Yao, Hengshu Zhu:
Occupation Life Cycle. CoRR abs/2406.15373 (2024) - [i46]Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan:
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness. CoRR abs/2406.19598 (2024) - [i45]Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu:
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. CoRR abs/2407.00082 (2024) - [i44]Meng Hua, Yuan Cheng, Hengshu Zhu:
The Career Interests of Large Language Models. CoRR abs/2407.08564 (2024) - [i43]Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu:
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. CoRR abs/2408.09748 (2024) - [i42]Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu:
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. CoRR abs/2408.11312 (2024) - [i41]Chen Zhu, Yihang Cheng, Jingshuai Zhang, Yusheng Qiu, Sitao Xia, Hengshu Zhu:
Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective. CoRR abs/2408.11826 (2024) - [i40]Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong:
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting. CoRR abs/2409.19545 (2024) - [i39]Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu:
Labor Migration Modeling through Large-scale Job Query Data. CoRR abs/2410.02639 (2024) - 2023
- [j50]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) - [j49]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) - [j48]Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong:
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems. INFORMS J. Comput. 35(4): 747-763 (2023) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong:
Kill Two Birds With One Stone: A Multi-View Multi-Adversarial Learning Approach for Joint Air Quality and Weather Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11515-11528 (2023) - [j37]Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong:
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning. ACM Trans. Manag. Inf. Syst. 14(3): 26:1-26:20 (2023) - [c89]Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu:
Towards a Better Characterization of IT Career Development Patterns. AMCIS 2023 - [c88]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 - [c87]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 - [c86]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 - [c85]Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng:
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model. ICDM 2023: 120-129 - [c84]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM 2023: 858-867 - [c83]Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu:
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. ICDM (Workshops) 2023: 1453-1462 - [c82]Chen Zhu, Hengshu Zhu:
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective. ICDM (Workshops) 2023: 1477-1483 - [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 - [i38]Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang:
A Survey on Causal Inference for Recommendation. CoRR abs/2303.11666 (2023) - [i37]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) - [i36]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) - [i35]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) - [i34]Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong:
Preference or Intent? Double Disentangled Collaborative Filtering. CoRR abs/2305.11084 (2023) - [i33]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) - [i32]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. CoRR abs/2306.14712 (2023) - [i31]Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong:
Generative Job Recommendations with Large Language Model. CoRR abs/2307.02157 (2023) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]Ying Sun, Hengshu Zhu, Hui Xiong:
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution. CoRR abs/2309.15559 (2023) - [i25]Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu:
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. CoRR abs/2311.03778 (2023) - [i24]Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang:
Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach. CoRR abs/2312.10110 (2023) - [i23]Tianhui Ma, Yuan Cheng, Hengshu Zhu, Hui Xiong:
Large Language Models are Not Stable Recommender Systems. CoRR abs/2312.15746 (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]Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong:
A Joint Learning Approach to Intelligent Job Interview Assessment. IJCAI 2018: 3542-3548 - [c36]Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018: 2269-2278 - [c35]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. SIGIR 2018: 25-34 - [i5]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. CoRR abs/1810.04040 (2018) - [i4]Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong:
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. CoRR abs/1812.08947 (2018) - 2017
- [j12]Enhong Chen, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong:
Discerning individual interests and shared interests for social user profiling. World Wide Web 20(2): 417-435 (2017) - [c34]Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong:
Collaborative Company Profiling: Insights from an Employee's Perspective. AAAI 2017: 1417-1423 - [c33]Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen:
Social User Profiling: A Social-Aware Topic Modeling Perspective. DASFAA (2) 2017: 610-622 - [c32]Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang:
Incremental Matrix Factorization: A Linear Feature Transformation Perspective. IJCAI 2017: 1901-1908 - [c31]Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao:
Prospecting the Career Development of Talents: A Survival Analysis Perspective. KDD 2017: 917-925 - [c30]Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong:
Point-of-Interest Demand Modeling with Human Mobility Patterns. KDD 2017: 947-955 - [i3]Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie:
Recruitment Market Trend Analysis with Sequential Latent Variable Models. CoRR abs/1712.02975 (2017) - [i2]Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong:
Collaborative Company Profiling: Insights from an Employee's Perspective. CoRR abs/1712.02987 (2017) - [i1]Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong:
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. CoRR abs/1712.03087 (2017) - 2016
- [j11]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong:
Tracking the evolution of social emotions with topic models. Knowl. Inf. Syst. 47(3): 517-544 (2016) - [c29]Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao:
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. DASFAA (1) 2016: 258-273 - [c28]Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie:
Recruitment Market Trend Analysis with Sequential Latent Variable Models. KDD 2016: 383-392 - [c27]Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu:
Days on Market: Measuring Liquidity in Real Estate Markets. KDD 2016: 393-402 - [c26]Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu:
Talent Circle Detection in Job Transition Networks. KDD 2016: 655-664 - [c25]Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu:
Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. KDD 2016: 975-984 - [c24]Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong:
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. KDD 2016: 1285-1294 - 2015
- [j10]Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen:
Popularity Modeling for Mobile Apps: A Sequential Approach. IEEE Trans. Cybern. 45(7): 1303-1314 (2015) - [j9]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Discovery of Ranking Fraud for Mobile Apps. IEEE Trans. Knowl. Data Eng. 27(1): 74-87 (2015) - [j8]Liyang Tang, Zhiwei Ni, Hui Xiong, Hengshu Zhu:
Locating targets through mention in Twitter. World Wide Web 18(4): 1019-1049 (2015) - [c23]Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie:
Mining Indecisiveness in Customer Behaviors. ICDM 2015: 281-290 - [c22]Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu:
Learning Career Mobility and Human Activity Patterns for Job Change Analysis. ICDM 2015: 1057-1062 - [c21]Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang:
Matrix Factorization with Scale-Invariant Parameters. IJCAI 2015: 4017-4024 - [c20]Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu:
Real Estate Ranking via Mixed Land-use Latent Models. KDD 2015: 299-308 - [c19]Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao:
Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. KDD 2015: 2197-2206 - [c18]Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu:
Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. SDM 2015: 262-270 - [c17]Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu:
Convex Matrix Completion: A Trace-Ball Optimization Perspective. SDM 2015: 334-342 - [c16]Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge:
Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. SDM 2015: 352-360 - [c15]Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li:
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation. WI-IAT (1) 2015: 244-251 - 2014
- [j7]Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao:
Learning to detect subway arrivals for passengers on a train. Frontiers Comput. Sci. 8(2): 316-329 (2014) - [j6]Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian:
Learning to annotate via social interaction analytics. Knowl. Inf. Syst. 41(2): 251-276 (2014) - [j5]Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian:
Mining Mobile User Preferences for Personalized Context-Aware Recommendation. ACM Trans. Intell. Syst. Technol. 5(4): 58:1-58:27 (2014) - [j4]Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian:
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach. ACM Trans. Knowl. Discov. Data 9(2): 10:1-10:29 (2014) - [j3]Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian:
Mobile App Classification with Enriched Contextual Information. IEEE Trans. Mob. Comput. 13(7): 1550-1563 (2014) - [j2]Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian:
Ranking user authority with relevant knowledge categories for expert finding. World Wide Web 17(5): 1081-1107 (2014) - [c14]Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu:
Diversified social influence maximization. ASONAM 2014: 455-459 - [c13]Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan:
Predicting the Popularity of Online Serials with Autoregressive Models. CIKM 2014: 1339-1348 - [c12]Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang:
Technology Prospecting for High Tech Companies through Patent Mining. ICDM 2014: 220-229 - [c11]Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu:
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. ICDM 2014: 697-706 - [c10]Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong:
A cost-effective recommender system for taxi drivers. KDD 2014: 45-54 - [c9]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Mobile app recommendations with security and privacy awareness. KDD 2014: 951-960 - 2013
- [c8]Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen:
Ranking fraud detection for mobile apps: a holistic view. CIKM 2013: 619-628 - [c7]Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao:
Learning to Detect the Subway Station Arrival for Mobile Users. IDEAL 2013: 49-57 - [c6]Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu:
Time Series Representation: A Random Shifting Perspective. WAIM 2013: 37-50 - 2012
- [j1]Hengshu Zhu, Enhong Chen, Huanhuan Cao, Jilei Tian:
Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities. Int. J. Knowl. Syst. Sci. 3(1): 48-63 (2012) - [c5]Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian:
Exploiting enriched contextual information for mobile app classification. CIKM 2012: 1617-1621 - [c4]Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian:
Mining Personal Context-Aware Preferences for Mobile Users. ICDM 2012: 1212-1217 - [c3]Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian:
Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models. PAKDD (1) 2012: 431-443 - 2011
- [c2]Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian:
Towards expert finding by leveraging relevant categories in authority ranking. CIKM 2011: 2221-2224 - [c1]Hengshu Zhu, Enhong Chen, Huanhuan Cao:
Finding Experts in Tag Based Knowledge Sharing Communities. KSEM 2011: 183-195
Coauthor Index
[j62] [j61] [j54] [j53] [j52] [j51] [c106] [j49] [j40] [i33] [i29] [i28] [j29] [j28] [j24] [j23] [c65] [c64] [i15] [j21] [j20] [j18] [c52] [c51] [j16] [c49] [c46] [c45] [c41] [i8] [i6] [j13] [c35] [i4] [j12] [c33] [c32] [j11] [c29] [c27] [c24] [j10] [j9] [c23] [c21] [c18] [c17] [c15] [j7] [j6] [j5] [j4] [j3] [j2] [c14] [c13] [c11] [c9] [c8] [c7] [j1] [c5] [c4] [c2] [c1]
[j64] [j63] [j62] [j60] [j59] [j58] [j57] [j56] [j54] [j52] [j51] [c103] [c102] [c100] [c99] [c94] [c93] [c92] [c91] [i54] [i52] [i51] [i50] [i49] [i40] [i39] [j50] [j49] [j48] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [c88] [c87] [c86] [c81] [c79] [c77] [c76] [i36] [i35] [i34] [i33] [i31] [i30] [i28] [i26] [i23] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [c74] [c73] [c71] [i21] [i19] [j27] [j26] [j25] [j24] [c68] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [i18] [i17] [i16] [i15] [i14] [j21] [j20] [j19] [j18] [c55] [c54] [c53] [c52] [c51] [i13] [i12] [i11] [i10] [i9] [j17] [j16] [j15] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [i7] [i6] [j14] [c40] [c39] [c37] [c35] [i5] [i4] [j12] [c34] [c31] [c30] [i3] [i2] [i1] [j11] [c28] [c27] [c26] [c24] [j10] [j9] [j8] [c23] [c22] [c20] [c18] [c17] [j6] [j5] [j4] [j3] [j2] [c13] [c12] [c10] [c9] [c8] [c5] [c4] [c2]
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last updated on 2024-11-15 20:37 CET by the dblp team
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