2024
Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph.
ACM Trans. Inf. Syst., July, 2024

Triple Dual Learning for Opinion-based Explainable Recommendation.
ACM Trans. Inf. Syst., May, 2024

Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst., January, 2024

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network.
CoRR, 2024

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis.
CoRR, 2024

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Collaboration-Aware Hybrid Learning for Knowledge Development Prediction.
Proceedings of the ACM on Web Conference 2024, 2024

Graph Reasoning Enhanced Language Models for Text-to-SQL.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Exploring the tidal effect of urban business district with large-scale human mobility data.
Frontiers Comput. Sci., 2023

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution.
CoRR, 2023

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR, 2023

Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic.
CoRR, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022
Exploring the Risky Travel Area and Behavior of Car-hailing Service.
ACM Trans. Intell. Syst. Technol., 2022

Adaptively sharing multi-levels of distributed representations in multi-task learning.
Inf. Sci., 2022

2021
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Talent Demand Forecasting with Attentive Neural Sequential Model.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018