Chen Zhu

According to our database, Chen Zhu authored at least 44 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A survey on large language models for recommendation.

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen

World Wide Web (WWW), September, 2024

InteractNet: Social Interaction Recognition for Semantic-rich Videos.

Yuanjie Lyu, Penggang Qin, Tong Xu, Chen Zhu, Enhong Chen

ACM Trans. Multim. Comput. Commun. Appl., August, 2024

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN.

Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.

Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen

IEEE Trans. Circuits Syst. Video Technol., April, 2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., March, 2024

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

CoRR, 2024

Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective.

Chen Zhu, Yihang Cheng, Jingshuai Zhang, Yusheng Qiu, Sitao Xia, Hengshu Zhu

CoRR, 2024

Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework.

Xiao Han, Chen Zhu, Xiangyu Zhao, Hengshu Zhu

CoRR, 2024

Mixture of In-Context Experts Enhance LLMs' Long Context Awareness.

Hongzhan Lin, Ang Lv, Yuhan Chen, Chen Zhu, Yang Song, Hengshu Zhu, Rui Yan

CoRR, 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

CoRR, 2024

Facilitating Multi-Role and Multi-Behavior Collaboration of Large Language Models for Online Job Seeking and Recruiting.

Hongda Sun, Hongzhan Lin, Haiyu Yan, Chen Zhu, Yang Song, Xin Gao, Shuo Shang, Rui Yan

CoRR, 2024

KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph.

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yang Song, Chen Zhu, Hengshu Zhu, Ji-Rong Wen

CoRR, 2024

Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning.

Xiao Han, Chen Zhu, Xiao Hu, Chuan Qin, Xiangyu Zhao, Hengshu Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.

Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.

Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.

Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023

Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues.

Zheyong Xie, Weidong He, Tong Xu, Shiwei Wu, Chen Zhu, Ping Yang, Enhong Chen

ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2023

Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation.

Wenxuan Zhang, Hongzhi Liu, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu

CoRR, 2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.

Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong

CoRR, 2023

Multi-Grained Multimodal Interaction Network for Entity Linking.

Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Social Context-aware GCN for Video Character Search via Scene-prior Enhancement.

Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Exploiting Time-Aware Spectral Neural Networks for Employee Turnover Analysis: An Organizational Change Perspective.

Chen Zhu, Hengshu Zhu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.

Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., 2022

Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer.

Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2020

Matching of social events and users: a two-way selection perspective.

Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong

World Wide Web, 2020

An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment.

Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., 2020

Enhancing Employer Brand Evaluation with Collaborative Topic Regression Models.

Hao Lin, Hengshu Zhu, Junjie Wu, Yuan Zuo, Chen Zhu, Hui Xiong

ACM Trans. Inf. Syst., 2020

Personalized Employee Training Course Recommendation with Career Development Awareness.

Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model?

Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen

Proceedings of the World Wide Web Conference, 2019

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

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Exploiting the Contagious Effect for Employee Turnover Prediction.

Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning.

Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li

ACM Trans. Manag. Inf. Syst., 2018

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

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Joint Learning Approach to Intelligent Job Interview Assessment.

Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach.

Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach.

Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Social User Profiling: A Social-Aware Topic Modeling Perspective.

Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2017

Collaborative Company Profiling: Insights from an Employee's Perspective.

Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Tracking the evolution of social emotions with topic models.

Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong

Knowl. Inf. Syst., 2016

Recruitment Market Trend Analysis with Sequential Latent Variable Models.

Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

Real Estate Ranking via Mixed Land-use Latent Models.

Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.

Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014