Dazhong Shen

68 papers A* 17A 3Journal 44Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI-driven skill keyword suggestion for multi-round interviews: A graph-based topic approach.
Inf. Process. Manag.
Yuhan Su, Hongke Zhao, Chuan Qin, Dazhong Shen, Hengshu Zhu
2026 J jnl
CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT.
CoRR
Chengyi Du, Yazhe Niu, Dazhong Shen, Luxin Xu
2026 J jnl
Efficient Instruction Vulnerability Prediction With Heterogeneous SDC Propagation Knowledge Graph.
IEEE Trans. Dependable Secur. Comput.
Bao Wen, Jingjing Gu, Dazhong Shen, Qiang Zhou, Fuzhen Zhuang, Yang Liu, Haocheng Song, Xinyi Huang
2026 A* conf
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models.
AAAI
Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2026 A* conf
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation.
AAAI
Yuanxin Zhuang, Dazhong Shen, Ying Sun
2026 — conf
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition.
KDD (1)
Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2025 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
Proc. IEEE
Chuan Qin, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2025 J jnl
A Comprehensive Survey on Self-Interpretable Neural Networks.
CoRR
Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025 J jnl
A Comprehensive Survey on Self-Interpretable Neural Networks.
Proc. IEEE
Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong
2025 J jnl
ADT: Tuning Diffusion Models with Adversarial Supervision.
CoRR
Dazhong Shen, Guanglu Song, Yi Zhang, Bingqi Ma, Lujundong Li, Dongzhi Jiang, Zhuofan Zong, Yu Liu
2025 J jnl
AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure-Property Associations.
CoRR
Mingxu Zhang, Dazhong Shen, Ying Sun
2025 J jnl
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models.
CoRR
Rui Cai, Chao Wang, Qianyi Cai, Dazhong Shen, Hui Xiong
2025 A* conf
Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach.
SIGIR
Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu
2025 J jnl
ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models.
CoRR
Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun
2025 A* conf
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.
ICML
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li
2025 J jnl
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models.
CoRR
Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2025 A conf
Exploring and Mitigating Failure Behavior of Large Language Model Training Workloads in HPC Systems.
SC
Pengfei Yu, Jingjing Gu, Hao Han, Dazhong Shen, Bao Wen, Yang Liu
2025 J jnl
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens.
CoRR
Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang
2025 J jnl
Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation.
IEEE Trans. Neural Networks Learn. Syst.
Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong
2025 A* conf
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation.
WWW
Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
2025 J jnl
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation.
CoRR
Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
2025 A conf
I-Lora: Iterative Merging of Routing-Tuned Low-Rank Adapters for Multi-Task Learning.
ICME
Guoqing Zhao, Qi Zhang, Shaopeng Zhai, Dazhong Shen, Tianyi Zhang, Yu Qiao, Tong Xu
2025 — conf
Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction.
KDD (1)
Pengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong, Yang Liu, Hui Xiong
2025 J jnl
Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach.
ACM Trans. Manag. Inf. Syst.
Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong
2025 — conf
Killing Two Birds with One Stone: A Spatio-temporal Prompt for the Inductive Traffic Extrapolation.
DASFAA (2)
Leilei Ding, Zhipeng Tang, Le Zhang, Dazhong Shen, Chao Wang, Ziyang Tao, Jingbo Zhou, Yanyong Zhang, Hui Xiong
2025 J jnl
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning.
CoRR
Yuanxin Zhuang, Dazhong Shen, Ying Sun
2025 J jnl
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation.
CoRR
Yuanxin Zhuang, Dazhong Shen, Ying Sun
2025 J jnl
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition.
CoRR
Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Yunhao Liu, Yanyong Zhang, Chao Wang
2024 A* conf
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.
SIGIR
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024 J jnl
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.
CoRR
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024 J jnl
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews.
ACM Trans. Inf. Syst.
Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong
2024 — conf
Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation.
ECCV (44)
Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
2024 J jnl
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation.
CoRR
Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li
2024 J jnl
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation.
ACM Trans. Inf. Syst.
Hanzhe Li, Jingjing Gu, Xinjiang Lu, Dazhong Shen, Yuting Liu, YaNan Deng, Guoliang Shi, Hui Xiong
2024 J jnl
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective.
IEEE Trans. Comput. Soc. Syst.
Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen
2024 A* conf
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.
NeurIPS
Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
2024 J jnl
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching.
CoRR
Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li
2024 A* conf
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.
IJCAI
Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang
2024 J jnl
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.
CoRR
Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang
2024 J jnl
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM.
CoRR
Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li
2024 A* conf
MoVA: Adapting Mixture of Vision Experts to Multimodal Context.
NeurIPS
Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
2024 J jnl
MoVA: Adapting Mixture of Vision Experts to Multimodal Context.
CoRR
Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu
2024 J jnl
Phased Consistency Model.
CoRR
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li, Xiaogang Wang
2024 A* conf
Phased Consistency Models.
NeurIPS
Fu-Yun Wang, Zhaoyang Huang, Alexander William Bergman, Dazhong Shen, Peng Gao, Michael Lingelbach, Keqiang Sun, Weikang Bian, Guanglu Song, Yu Liu, Xiaogang Wang, Hongsheng Li
2024 J jnl
Pretrained Reversible Generation as Unsupervised Visual Representation Learning.
CoRR
Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang
2024 J jnl
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer.
IEEE Trans. Knowl. Data Eng.
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong
2024 A* conf
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
KDD
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes.
CoRR
Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang
2024 J jnl
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
CoRR
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2024 A* conf
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.
CVPR
Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu
2024 J jnl
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance.
CoRR
Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu
2024 A conf
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
ICME
Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2024 J jnl
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach.
CoRR
Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong
2023 J jnl
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics.
CoRR
Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong
2023 J jnl
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning.
ACM Trans. Manag. Inf. Syst.
Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong
2023 J jnl
Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst.
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen
2023 J jnl
Preference or Intent? Double Disentangled Collaborative Filtering.
CoRR
Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong
2023 A* conf
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness.
ICDM
Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu
2023 J jnl
Towards Automatic Job Description Generation With Capability-Aware Neural Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong
2022 J jnl
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model.
INFORMS J. Comput.
Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, Hui Xiong
2022 J jnl
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment.
ACM Trans. Inf. Syst.
Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong
2021 A* conf
Drug Package Recommendation via Interaction-aware Graph Induction.
WWW
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
2021 J jnl
Drug Package Recommendation via Interaction-aware Graph Induction.
CoRR
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
2021 A* conf
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
IJCAI
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021 J jnl
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.
CoRR
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021 A* conf
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.
NeurIPS
Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
2019 J jnl
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest.
CoRR
Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong
2018 A* conf
A Joint Learning Approach to Intelligent Job Interview Assessment.
IJCAI
Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong