Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. - Ying Sun 006; Hengshu Zhu; Fuzhen Zhuang; Jingjing Gu; Qing He 003 (KDD, 2018)

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (KDD, 2019)

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. - Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Deqing Wang; Xiangliang Zhang 001; Qing He 003 (ICDM, 2020)

Talent Demand Forecasting with Attentive Neural Sequential Model. - Qi Zhang 053; Hengshu Zhu; Ying Sun 006; Hao Liu 026; Fuzhen Zhuang; Hui Xiong 001 (KDD, 2021)

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. - Ying Sun 006; Hengshu Zhu; Chuan Qin 002; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (NeurIPS, 2021)

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. - Yongchun Zhu; Ruobing Xie; Fuzhen Zhuang; Kaikai Ge; Ying Sun 006; Xu Zhang 028; Leyu Lin; Juan Cao 001 (SIGIR, 2021)

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Qing He 003; Hui Xiong 001 (WWW, 2021)

Adaptively sharing multi-levels of distributed representations in multi-task learning. - Tianxin Wang; Fuzhen Zhuang; Ying Sun 006; Xiangliang Zhang 001; Leyu Lin; Feng Xia 006; Lei He; Qing He 003 (Inf. Sci., 2022)

Exploring the Risky Travel Area and Behavior of Car-hailing Service. - Hongting Niu; Hengshu Zhu; Ying Sun 006; Xinjiang Lu; Jing Sun; Zhiyuan Zhao; Hui Xiong 001; Bo Lang (ACM Trans. Intell. Syst. Technol., 2022)

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification. - Zheng Gong 001; Guifeng Wang; Ying Sun 006; Qi Liu 003; Yuting Ning; Hui Xiong 001; Jingyu Peng (IJCAI, 2023)

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning. - He Zhang; Ying Sun 006; Weiyu Guo; Yafei Liu; Haonan Lu; Xiaodong Lin 004; Hui Xiong 001 (ACM Multimedia, 2023)

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach. - Zhi Zheng 008; Ying Sun 006; Xin Song; Hengshu Zhu; Hui Xiong 001 (RecSys, 2023)

Large-Scale Assessment of Labour Market Dynamics in China during the COVID-19 Pandemic. - Ying Sun 006; Hengshu Zhu; Hui Xiong 001 (CoRR, 2023)

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. - Chuan Qin 002; Le Zhang 010; Rui Zha; Dazhong Shen; Qi Zhang 053; Ying Sun 006; Chen Zhu 003; Hengshu Zhu; Hui Xiong 001 (CoRR, 2023)

Towards Faithful Neural Network Intrinsic Interpretation with Shapley Additive Self-Attribution. - Ying Sun 006; Hengshu Zhu; Hui Xiong 001 (CoRR, 2023)

Exploring the tidal effect of urban business district with large-scale human mobility data. - Hongting Niu; Ying Sun 006; Hengshu Zhu; Cong Geng; Jiuchun Yang; Hui Xiong 001; Bo Lang (Frontiers Comput. Sci., 2023)

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

SeqSHAP: Subsequence Level Shapley Value Explanations for Sequential Predictions. - Guanyu Jiang; Fuzhen Zhuang; Bowen Song; Yongchun Zhu; Ying Sun 006; Weiqiang Wang; Deqing Wang (DASFAA (4), 2024)

An Energy-centric Framework for Category-free Out-of-distribution Node Detection in Graphs. - Zheng Gong 001; Ying Sun 006 (KDD, 2024)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Yuting Zhang; Yiqing Wu; Ruidong Han; Ying Sun 006; Yongchun Zhu; Xiang Li 067; Wei Lin 022; Fuzhen Zhuang; Zhulin An; Yongjun Xu 001 (KDD, 2024)

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. - Yuting Zhang; Zhao Zhang 011; Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Wenhui Yu; Lantao Hu; Han Li 005; Kun Gai; Zhulin An; Yongjun Xu 001 (ACM Multimedia, 2024)

Tackling Uncertain Correspondences for Multi-Modal Entity Alignment. - Liyi Chen 001; Ying Sun 006; Shengzhe Zhang; Yuyang Ye 002; Wei Wu 045; Hui Xiong 001 (NeurIPS, 2024)

Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs. - Liyi Chen 001; Panrong Tong; Zhongming Jin 001; Ying Sun 006; Jieping Ye; Hui Xiong 001 (NeurIPS, 2024)

SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network. - Weiyu Guo; Ying Sun 006; Yijie Xu; Ziyue Qiao; Yongkui Yang; Hui Xiong 001 (NeurIPS, 2024)

Graph Reasoning Enhanced Language Models for Text-to-SQL. - Zheng Gong 001; Ying Sun 006 (SIGIR, 2024)

Collaboration-Aware Hybrid Learning for Knowledge Development Prediction. - Liyi Chen 001; Chuan Qin 002; Ying Sun 006; Xin Song; Tong Xu 001; Hengshu Zhu; Hui Xiong 001 (WWW, 2024)

Multi-round Counterfactual Generation: Interpreting and Improving Models of Text Classification. - Huajie Zhang; Yuxin Ying; Fuzhen Zhuang; Haiqin Weng; Ying Sun 006; Zhao Zhang 011; Yiqi Tong; Yan Liu 069 (WWW (Companion Volume), 2024)

Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in Surface Electromyographic Signal Analysis. - Weiyu Guo; Ziyue Qiao; Ying Sun 006; Hui Xiong 001 (CoRR, 2024)

Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. - Chuan Qin 002; Hengshu Zhu; Dazhong Shen; Ying Sun 006; Kaichun Yao; Peng Wang 173; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

Triple Dual Learning for Opinion-based Explainable Recommendation. - Yuting Zhang; Ying Sun 006; Fuzhen Zhuang; Yongchun Zhu; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2024)

Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph. - Rui Zha; Ying Sun 006; Chuan Qin 002; Le Zhang 010; Tong Xu 001; Hengshu Zhu; Enhong Chen (ACM Trans. Inf. Syst., 2024)

Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration. - Zheng Gong 001; Shuheng Shen; Changhua Meng; Ying Sun 006 (WWW, 2025)

A Comprehensive Survey on Self-Interpretable Neural Networks. - Yang Ji 004; Ying Sun 006; Yuting Zhang; Zhigaoyuan Wang; Yuanxin Zhuang; Zheng Gong 001; Dazhong Shen; Chuan Qin 002; Hengshu Zhu; Hui Xiong 001 (CoRR, 2025)

A Survey of fMRI to Image Reconstruction. - Weiyu Guo; Guoying Sun; JianXiang He; Tong Shao; Shaoguang Wang; Ziyang Chen; Meisheng Hong; Ying Sun 006; Hui Xiong 001 (CoRR, 2025)

A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. - Chuan Qin 002; Le Zhang 010; Yihang Cheng 001; Rui Zha; Dazhong Shen; Qi Zhang 053; Xi Chen 073; Ying Sun 006; Chen Zhu 003; Hengshu Zhu; Hui Xiong 001 (Proc. IEEE, 2025)

Enhancing Job Salary Prediction with Disentangled Composition Effect Modeling: A Neural Prototyping Approach. - Yang Ji 004; Ying Sun 006; Hengshu Zhu (CoRR, 2025)

Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding. - Weiyu Guo; Ziyang Chen; Shaoguang Wang; JianXiang He; Yijie Xu; Jinhui Ye; Ying Sun 006; Hui Xiong 001 (CoRR, 2025)

Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. - Ying Sun 006; Yang Ji 004; Hengshu Zhu; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ACM Trans. Inf. Syst., 2025)

MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning. - Yuanxin Zhuang; Dazhong Shen; Ying Sun 006 (CoRR, 2025)

Efficient Skill Discovery via Regret-Aware Optimization. - He Zhang; Ming Zhou; Shaopeng Zhai; Ying Sun 006; Hui Xiong 001 (CoRR, 2025)

NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation. - Yuanxin Zhuang; Dazhong Shen; Ying Sun 006 (CoRR, 2025)

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models. - Haoran Xin 001; Ying Sun 006; Chao Wang 086; Hui Xiong 001 (ACM Trans. Inf. Syst., 2025)