A Joint Learning Approach to Intelligent Job Interview Assessment. - Dazhong Shen; Hengshu Zhu; Chen Zhu 003; Tong Xu 001; Chao Ma 022; Hui Xiong 001 (IJCAI, 2018)

Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. - Dazhong Shen; Qi Zhang 053; Tong Xu 001; Hengshu Zhu; Wenjia Zhao; Zikai Yin; Peilun Zhou; Lihua Fang; Enhong Chen; Hui Xiong 001 (CoRR, 2019)

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. - Dazhong Shen; Chuan Qin 002; Chao Wang 086; Hengshu Zhu; Enhong Chen; Hui Xiong 001 (IJCAI, 2021)

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. - Dazhong Shen; Chuan Qin 002; Chao Wang 086; Zheng Dong; Hengshu Zhu; Hui Xiong 001 (NeurIPS, 2021)

Drug Package Recommendation via Interaction-aware Graph Induction. - Zhi Zheng 008; Chao Wang 086; Tong Xu 001; Dazhong Shen; Penggang Qin; Baoxing Huai; Tongzhu Liu; Enhong Chen (WWW, 2021)

Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model. - Qingxin Meng 002; Keli Xiao; Dazhong Shen; Hengshu Zhu; Hui Xiong 001 (INFORMS J. Comput., 2022)

Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. - Dazhong Shen; Chuan Qin 002; Hengshu Zhu; Tong Xu 001; Enhong Chen; Hui Xiong 001 (ACM Trans. Inf. Syst., 2022)

ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. - Yunfei Zhang; Chuan Qin 002; Dazhong Shen; Haiping Ma; Le Zhang 010; Xingyi Zhang 001; Hengshu Zhu (ICDM, 2023)

Preference or Intent? Double Disentangled Collaborative Filtering. - Chao Wang 086; Hengshu Zhu; Dazhong Shen; Wei Wu 045; 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)

Interaction-aware Drug Package Recommendation via Policy Gradient. - Zhi Zheng 008; Chao Wang 086; Tong Xu 001; Dazhong Shen; Penggang Qin; Xiangyu Zhao 001; Baoxing Huai; Xian Wu 001; Enhong Chen (ACM Trans. Inf. Syst., 2023)

Towards Automatic Job Description Generation With Capability-Aware Neural Networks. - Chuan Qin 002; Kaichun Yao; Hengshu Zhu; Tong Xu 001; Dazhong Shen; Enhong Chen; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning. - Dazhong Shen; Hengshu Zhu; Keli Xiao; Xi Zhang 009; Hui Xiong 001 (ACM Trans. Manag. Inf. Syst., 2023)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. - Dazhong Shen; Guanglu Song; Zeyue Xue; Fu-Yun Wang; Yu Liu 015 (CVPR, 2024)

Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. - Fu-Yun Wang; Xiaoshi Wu; Zhaoyang Huang; Xiaoyu Shi 002; Dazhong Shen; Guanglu Song; Yu Liu 015; Hongsheng Li 001 (ECCV (44), 2024)

Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. - Feihu Jiang; Chuan Qin 002; Jingshuai Zhang; Kaichun Yao; Xi Chen 073; Dazhong Shen; Chen Zhu 003; Hengshu Zhu; Hui Xiong 001 (ICME, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Yanyong Zhang (IJCAI, 2024)

RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Shangshang Yang; Haiping Ma; Hengshu Zhu; Xingyi Zhang 001 (KDD, 2024)

CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. - Dongzhi Jiang; Guanglu Song; Xiaoshi Wu; Renrui Zhang; Dazhong Shen; Zhuofan Zong; Yu Liu 015; Hongsheng Li 001 (NeurIPS, 2024)

Phased Consistency Models. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Xiaogang Wang 001; Hongsheng Li 001 (NeurIPS, 2024)

MoVA: Adapting Mixture of Vision Experts to Multimodal Context. - Zhuofan Zong; Bingqi Ma; Dazhong Shen; Guanglu Song; Hao Shao; Dongzhi Jiang; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2024)

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. - Wei Wu 045; Chao Wang 086; Dazhong Shen; Chuan Qin 002; Liyi Chen 001; Hui Xiong 001 (SIGIR, 2024)

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. - Leilei Ding; Dazhong Shen; Chao Wang 086; Tianfu Wang 002; Le Zhang 010; Hui Xiong 001; Yanyong Zhang (CoRR, 2024)

Phased Consistency Model. - Fu-Yun Wang; Zhaoyang Huang; Alexander William Bergman; Dazhong Shen; Peng Gao 007; Michael Lingelbach; Keqiang Sun; Weikang Bian; Guanglu Song; Yu Liu 015; Hongsheng Li 001; Xiaogang Wang 001 (CoRR, 2024)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning. - Rongkun Xue; Jinouwen Zhang; Yazhe Niu; Dazhong Shen; Bingqi Ma; Yu Liu 015; Jing Yang (CoRR, 2024)

EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. - Zhuofan Zong; Dongzhi Jiang; Bingqi Ma; Guanglu Song; Hao Shao; Dazhong Shen; Yu Liu 015; Hongsheng Li 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)

Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. - Rui Zha; Chuan Qin 002; Le Zhang 010; Dazhong Shen; Tong Xu 001; Hengshu Zhu; Enhong Chen (IEEE Trans. Comput. Soc. Syst., 2024)

RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. - Xiaoshan Yu 002; Chuan Qin 002; Dazhong Shen; Haiping Ma; Le Zhang 010; Xingyi Zhang 001; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2024)

Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation. - Hanzhe Li 001; Jingjing Gu; Xinjiang Lu; Dazhong Shen; Yuting Liu 001; YaNan Deng; Guoliang Shi; Hui Xiong 001 (ACM Trans. Inf. Syst., 2024)

Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction. - Pengfei Yu; Jingjing Gu; Dazhong Shen; Xin Dong 010; Yang Liu 390; Hui Xiong 001 (KDD (1), 2025)

Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. - Hanzhe Li 001; Dazhong Shen; Chao Wang 086; Yuting Liu 001; Jingjing Gu (SIGIR, 2025)

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. - Shengzhe Zhang; Liyi Chen 001; Dazhong Shen; Chao Wang 086; Hui Xiong 001 (WWW, 2025)

Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. - Haiping Ma; Manwei Li; Chuan Qin 002; Dazhong Shen; Hengshu Zhu; Xingyi Zhang 001; Hui Xiong 001 (ACM Trans. Manag. Inf. Syst., 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)

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models. - Rui Cai 006; Chao Wang 086; Qianyi Cai; Dazhong Shen; 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)

ADT: Tuning Diffusion Models with Adversarial Supervision. - Dazhong Shen; Guanglu Song; Yi Zhang 108; Bingqi Ma; Lujundong Li; Dongzhi Jiang; Zhuofan Zong; Yu Liu 015 (CoRR, 2025)

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

Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation. - Dazhong Shen; Chuan Qin 002; Qi Zhang 053; Hengshu Zhu; Hui Xiong 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

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