Hengshu Zhu

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 183

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

AAAI

Publications

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 (2024)
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) (2024)
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)
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. AAAI (2024)
Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
Harnessing Large Language Models for Text-Rich Sequential Recommendation. CoRR (2024)
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) (2024)
Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment. SIGIR (2024)
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) (2024)
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)
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 (2024)
Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD (2024)
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 (2024)
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) (2024)
Meng Hua, Yuan Cheng, Hengshu Zhu
The Career Interests of Large Language Models. CoRR (2024)
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 (2024)
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 (2024)
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) (2024)
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 (2024)
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)
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) (2024)
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 (2024)
Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer. CoRR (2024)
Lan Chen, Yufei Ji, Xichen Yao, Hengshu Zhu
Occupation Life Cycle. CoRR (2024)
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 (2024)
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)
Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong
Harnessing Large Language Models for Text-Rich Sequential Recommendation. WWW (2024)
Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. WWW (2024)
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) (2024)
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) (2024)
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)
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) (2024)
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR (2024)
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)
Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu
Make Large Language Model a Better Ranker. CoRR (2024)
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) (2024)
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)
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 (2024)
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 (2023)
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) (2023)
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) (2023)
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) (2023)
Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong
Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach. RecSys (2023)
Chen Zhu, Hengshu Zhu
Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective. ICDM (Workshops) (2023)
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) (2023)
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)
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 (2023)
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 (2023)
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
Reciprocal Sequential Recommendation. CoRR (2023)
Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu
Towards a Better Characterization of IT Career Development Patterns. AMCIS (2023)
Yingpeng Du, Di Luo, Rui Yan, Hongzhi Liu, Yang Song, Hengshu Zhu, Jie Zhang
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks. CoRR (2023)
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) (2023)
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)
Yiwei Wang, Qingxin Meng, Alain Chong, Hengshu Zhu
Towards a Better Characterization of IT Career Development Patterns. AMCIS (2023)
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) (2023)
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 (2023)
Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong
Preference or Intent? Double Disentangled Collaborative Filtering. CoRR (2023)
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 (2023)
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
A Survey on Causal Inference for Recommendation. CoRR (2023)
Tianhui Ma, Yuan Cheng, Hengshu Zhu, Hui Xiong
Large Language Models are Not Stable Recommender Systems. CoRR (2023)
Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu
Reciprocal Sequential Recommendation. RecSys (2023)
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) (2023)
Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong
Generative Job Recommendations with Large Language Model. CoRR (2023)
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)
Ying Sun, Hengshu Zhu, Hui Xiong
Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution. CoRR (2023)
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) (2023)
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)
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) (2023)
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)
Lan Chen, Xi Chen, Shiyu Wu, Yaqi Yang, Meng Chang, Hengshu Zhu
The Future of ChatGPT-enabled Labor Market: A Preliminary Study. CoRR (2023)
Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng
Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model. ICDM (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. CoRR (2023)
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) (2023)
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) (2023)
Ying Sun, Hengshu Zhu, Hui Xiong
Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic. CoRR (2023)
Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD (2023)
Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong
Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. SIGIR (2023)
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)
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) (2023)
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. CoRR (2023)
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) (2023)
Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR (2023)
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)
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) (2023)
Xin Wei, Xi Zhang, Carol Ou, Hengshu Zhu
Identifying Turnover Contagion in Enterprise Social Networks. AMCIS (2022)
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)
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) (2022)
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 (2022)
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 (2022)
Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu
Feature and Instance Joint Selection: A Reinforcement Learning Perspective. IJCAI (2022)
Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong
Knowledge Enhanced Person-Job Fit for Talent Recruitment. ICDE (2022)
Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu
Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. CoRR (2022)
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) (2022)
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)
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) (2022)
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)
Yang Yang, Jingshuai Zhang, Fan Gao, Xiaoru Gao, Hengshu Zhu
DOMFN: A Divergence-Orientated Multi-Modal Fusion Network for Resume Assessment. ACM Multimedia (2022)
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) (2022)
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) (2022)
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) (2022)
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) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hengshu Zhu