| 2026 | ACL | GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery. | Xi Chen, Chuan Qin, Jinpeng Li, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong |
| 2026 | ACL | BOLT: Benchmarking Open-World Learning for Text Classification. | Chuan Qin, Xi Chen, Jinpeng Li, Hengshu Zhu |
| 2026 | ACL | TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery. | Wenxi Xu, Chuan Qin, Xi Chen, Chuyu Fang, Yuanchun Zhou, Hengshu Zhu |
| 2026 | WWW | ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map. | Fuling Wang, Le Zhang, Jingbo Zhou, Jindong Han, Ying Sun, Chuan Qin, Hengshu Zhu, Hui Xiong |
| 2025 | ACL | KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. | Jinhao Jiang, Kun Zhou, Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen |
| 2025 | DASFAA | Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method. | Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu |
| 2025 | ICML | Towards Lifelong Model Editing via Simulating Ideal Editor. | Yaming Guo, Siyang Guo, Hengshu Zhu, Ying Sun |
| 2025 | ICML | Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach. | Zhigaoyuan Wang, Ying Sun, Hengshu Zhu |
| 2025 | KDD | SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. | Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu |
| 2025 | KDD | Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework. | Xiao Han, Chen Zhu, Hengshu Zhu, Xiangyu Zhao |
| 2025 | KDD | From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation. | Zhenyu Tong, Chuan Qin, Chuyu Fang, Kaichun Yao, Xi Chen, Jingshuai Zhang, Chen Zhu, Hengshu Zhu |
| 2025 | KDD | The 6th International Workshop on Talent and Management Computing (TMC 2025). | Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim |
| 2025 | KSEM | Large Language Models Are Not Stable Recommender Systems: A Position Bias Perspective. | Tianhui Ma, Yuan Cheng, Zhi Zheng, Hengshu Zhu, Hui Xiong |
| 2025 | PAKDD | Labor Migration Modeling Through Large-Scale Job Query Data. | Zhuoning Guo, Le Zhang, Hengshu Zhu, Weijia Zhang, Hui Xiong, Hao Liu |
| 2024 | AAAI | A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction. | Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu |
| 2024 | AAAI | Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. | Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang |
| 2024 | AAAI | Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach. | Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang, Xingyi Zhang |
| 2024 | AAAI | Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. | Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen |
| 2024 | APWEB | Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. | Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu |
| 2024 | DASFAA | Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. | Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong |
| 2024 | DASFAA | Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models. | Feihu Jiang, Chuan Qin, Kaichun Yao, Chuyu Fang, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong |
| 2024 | EMNLP | Make Large Language Model a Better Ranker. | Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu |
| 2024 | ICDM | DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation. | Xiaoshan Yu, Chuan Qin, Qi Zhang, Chen Zhu, Haiping Ma, Xingyi Zhang, Hengshu Zhu |
| 2024 | IJCAI | Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. | Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong |
| 2024 | IJCAI | DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis. | Haiping Ma, Siyu Song, Chuan Qin, Xiaoshan Yu, Limiao Zhang, Xingyi Zhang, Hengshu Zhu |
| 2024 | KDD | Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning. | Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu |
| 2024 | KDD | Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method. | Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu |
| 2024 | KDD | RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. | Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang |
| 2024 | KDD | The 5th International Workshop on Talent and Management Computing (TMC'2024). | Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim |
| 2024 | WWW | Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. | Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong |
| 2024 | WWW | HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection. | Haiping Ma, Yong Yang, Chuan Qin, Xiaoshan Yu, Shangshang Yang, Xingyi Zhang, Hengshu Zhu |
| 2024 | WWW | Harnessing Large Language Models for Text-Rich Sequential Recommendation. | Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong |
| 2024 | SIGIR | MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment. | Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong |
| 2023 | ICDE | A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. | Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He |
| 2023 | ICDE | A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. | Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong |
| 2023 | ICDE | ResuFormer: Semantic Structure Understanding for Resumes via Multi-Modal Pre-training. | Kaichun Yao, Jingshuai Zhang, Chuan Qin, Xin Song, Peng Wang, Hengshu Zhu, Hui Xiong |
| 2023 | ICDM | Exploring the Confounding Factors of Academic Career Success: An Empirical Study with Deep Predictive Modeling. | Chenguang Du, Deqing Wang, Fuzhen Zhuang, Hengshu Zhu |
| 2023 | ICDM | Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model. | Pengzhan Guo, Keli Xiao, Hengshu Zhu, Qingxin Meng |
| 2023 | ICDM | ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. | Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu |
| 2023 | ICDM | Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective. | Chen Zhu, Hengshu Zhu |
| 2023 | KDD | RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment. | Chuyu Fang, Chuan Qin, Qi Zhang, Kaichun Yao, Jingshuai Zhang, Hengshu Zhu, Fuzhen Zhuang, Hui Xiong |
| 2023 | KDD | BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment. | Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu |
| 2023 | KDD | The 4th International Workshop on Talent and Management Computing (TMC'2023). | Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim |
| 2023 | RecSys | Reciprocal Sequential Recommendation. | Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu |
| 2023 | RecSys | Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach. | Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong |
| 2023 | SIGIR | Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph. | Chenguang Du, Kaichun Yao, Hengshu Zhu, Deqing Wang, Fuzhen Zhuang, Hui Xiong |
| 2022 | ICDE | Knowledge Enhanced Person-Job Fit for Talent Recruitment. | Kaichun Yao, Jingshuai Zhang, Chuan Qin, Peng Wang, Hengshu Zhu, Hui Xiong |
| 2022 | IJCAI | Feature and Instance Joint Selection: A Reinforcement Learning Perspective. | Wei Fan, Kunpeng Liu, Hao Liu, Hengshu Zhu, Hui Xiong, Yanjie Fu |
| 2022 | IJCAI | Reconciling Cognitive Modeling with Knowledge Forgetting: A Continuous Time-aware Neural Network Approach. | Haiping Ma, Jingyuan Wang, Hengshu Zhu, Xin Xia, Haifeng Zhang, Xingyi Zhang, Lei Zhang |
| 2022 | KDD | Talent Demand-Supply Joint Prediction with Dynamic Heterogeneous Graph Enhanced Meta-Learning. | Zhuoning Guo, Hao Liu, Le Zhang, Qi Zhang, Hengshu Zhu, Hui Xiong |
| 2022 | WSDM | Outside In: Market-aware Heterogeneous Graph Neural Network for Employee Turnover Prediction. | Jinquan Hang, Zheng Dong, Hongke Zhao, Xin Song, Peng Wang, Hengshu Zhu |
| 2021 | AAAI | Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. | Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou |
| 2021 | CIKM | An Interactive Neural Network Approach to Keyphrase Extraction in Talent Recruitment. | Kaichun Yao, Chuan Qin, Hengshu Zhu, Chao Ma, Jingshuai Zhang, Yi Du, Hui Xiong |
| 2021 | IJCAI | Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. | Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong |
| 2021 | KDD | TMC 2021: 2021 International Workshop on Talent and Management Computing. | Hui Xiong, Hengshu Zhu, Tong Xu, Xi Zhang |
| 2021 | KDD | MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal. | Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong |
| 2021 | KDD | Talent Demand Forecasting with Attentive Neural Sequential Model. | Qi Zhang, Hengshu Zhu, Ying Sun, Hao Liu, Fuzhen Zhuang, Hui Xiong |
| 2021 | KDD | Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. | Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong |
| 2021 | WWW | Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong |
| 2021 | WWW | Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. | Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong |
| 2020 | AAAI | SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. | Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong |
| 2020 | AAAI | Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. | Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He |
| 2020 | WWW | Personalized Employee Training Course Recommendation with Career Development Awareness. | Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong |
| 2020 | WWW | Large-Scale Talent Flow Embedding for Company Competitive Analysis. | Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen |
| 2019 | AAAI | Exploiting the Contagious Effect for Employee Turnover Prediction. | Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong |
| 2019 | AAAI | Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. | Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen |
| 2019 | CIKM | Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. | Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong |
| 2019 | ICDM | Identifying High Potential Talent: A Neural Network Based Dynamic Social Profiling Approach. | Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong |
| 2019 | ICDM | Aftershock Detection with Multi-scale Description Based Neural Network. | Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu |
| 2019 | IJCAI | Trend-Aware Tensor Factorization for Job Skill Demand Analysis. | Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong |
| 2019 | KDD | A Hierarchical Career-Path-Aware Neural Network for Job Mobility Prediction. | Qingxin Meng, Hengshu Zhu, Keli Xiao, Le Zhang, Hui Xiong |
| 2019 | KDD | DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview. | Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong |
| 2019 | KDD | The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. | Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong |
| 2019 | WWW | Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? | Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen |
| 2018 | AAAI | Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach. | Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong |
| 2018 | ICDM | Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach. | Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong |
| 2018 | ICDM | CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining. | Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin |
| 2018 | IJCAI | A Joint Learning Approach to Intelligent Job Interview Assessment. | Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong |
| 2018 | KDD | Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. | Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He |
| 2018 | SIGIR | Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. | Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong |
| 2017 | AAAI | Collaborative Company Profiling: Insights from an Employee's Perspective. | Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong |
| 2017 | DASFAA | Social User Profiling: A Social-Aware Topic Modeling Perspective. | Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen |
| 2017 | IJCAI | Incremental Matrix Factorization: A Linear Feature Transformation Perspective. | Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang |
| 2017 | KDD | Prospecting the Career Development of Talents: A Survival Analysis Perspective. | Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao |
| 2017 | KDD | Point-of-Interest Demand Modeling with Human Mobility Patterns. | Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong |
| 2016 | DASFAA | Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. | Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao |
| 2016 | KDD | Point-of-Interest Recommendations: Learning Potential Check-ins from Friends. | Huayu Li, Yong Ge, Richang Hong, Hengshu Zhu |
| 2016 | KDD | Talent Circle Detection in Job Transition Networks. | Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu |
| 2016 | KDD | Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective. | Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong |
| 2016 | KDD | Days on Market: Measuring Liquidity in Real Estate Markets. | Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu |
| 2016 | KDD | Recruitment Market Trend Analysis with Sequential Latent Variable Models. | Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie |
| 2015 | ICDM | Mining Indecisiveness in Customer Behaviors. | Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie |
| 2015 | ICDM | Learning Career Mobility and Human Activity Patterns for Job Change Analysis. | Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu |
| 2015 | IJCAI | Matrix Factorization with Scale-Invariant Parameters. | Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang |
| 2015 | KDD | Real Estate Ranking via Mixed Land-use Latent Models. | Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu |
| 2015 | KDD | Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications. | Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao |
| 2015 | SDM | Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization. | Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge |
| 2015 | SDM | Exploring the Impact of Dynamic Mutual Influence on Social Event Participation. | Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu |
| 2015 | SDM | Convex Matrix Completion: A Trace-Ball Optimization Perspective. | Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu |
| 2014 | CIKM | Predicting the Popularity of Online Serials with Autoregressive Models. | Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen, Hui Xiong, Chang Tan |
| 2014 | ICDM | Technology Prospecting for High Tech Companies through Patent Mining. | Bo Jin, Yong Ge, Hengshu Zhu, Li Guo, Hui Xiong, Chao Zhang |
| 2014 | ICDM | Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. | Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu |
| 2014 | KDD | A cost-effective recommender system for taxi drivers. | Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong |
| 2014 | KDD | Mobile app recommendations with security and privacy awareness. | Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen |
| 2013 | CIKM | Ranking fraud detection for mobile apps: a holistic view. | Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen |
| 2013 | IDEAL | Learning to Detect the Subway Station Arrival for Mobile Users. | Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao |
| 2012 | CIKM | Exploiting enriched contextual information for mobile app classification. | Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian |
| 2012 | ICDM | Mining Personal Context-Aware Preferences for Mobile Users. | Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian |
| 2012 | PAKDD | Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models. | Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian |
| 2011 | CIKM | Towards expert finding by leveraging relevant categories in authority ranking. | Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian |
| 2011 | KSEM | Finding Experts in Tag Based Knowledge Sharing Communities. | Hengshu Zhu, Enhong Chen, Huanhuan Cao |