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2020 – today
- 2025
[j13]Chuan Qin
, Le Zhang, Yihang Cheng, Rui Zha, Dazhong Shen, Qi Zhang, Xi Chen, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. Proc. IEEE 113(2): 125-171 (2025)- [j12]Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey on Self-Interpretable Neural Networks. Proc. IEEE 113(8): 783-813 (2025) - [j11]Haiping Ma, Manwei Li, Chuan Qin, Dazhong Shen, Hengshu Zhu, Xingyi Zhang, Hui Xiong:
Joint Ability Assessment for Talent Recruitment: A Neural Cognitive Diagnosis Approach. ACM Trans. Manag. Inf. Syst. 16(2): 1-25 (2025) - [j10]Dazhong Shen, Chuan Qin, Qi Zhang, Hengshu Zhu, Hui Xiong:
Handling Over-Smoothing and Over-Squashing in Graph Convolution With Maximization Operation. IEEE Trans. Neural Networks Learn. Syst. 36(5): 8743-8756 (2025) - [c21]Leilei Ding, Zhipeng Tang, Le Zhang, Dazhong Shen, Chao Wang, Ziyang Tao, Jingbo Zhou, Yanyong Zhang, Hui Xiong:
Killing Two Birds with One Stone: A Spatio-temporal Prompt for the Inductive Traffic Extrapolation. DASFAA (2) 2025: 181-190 - [c20]Guoqing Zhao, Qi Zhang, Shaopeng Zhai, Dazhong Shen, Tianyi Zhang, Yu Qiao, Tong Xu:
I-Lora: Iterative Merging of Routing-Tuned Low-Rank Adapters for Multi-Task Learning. ICME 2025: 1-6 - [c19]Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li:
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. ICML 2025 - [c18]Pengfei Yu, Jingjing Gu, Dazhong Shen, Xin Dong, Yang Liu, Hui Xiong:
Instruction Semantics Enhanced Dual-Flow Graph Model for GPU Error Resilience Prediction. KDD (1) 2025: 2803-2814 - [c17]Pengfei Yu, Jingjing Gu, Hao Han, Dazhong Shen, Bao Wen, Yang Liu:
Exploring and Mitigating Failure Behavior of Large Language Model Training Workloads in HPC Systems. SC 2025: 1165-1179 - [c16]Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu:
Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. SIGIR 2025: 570-580 - [c15]Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong:
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. WWW 2025: 3672-3682 - [i28]Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong:
Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. CoRR abs/2501.14269 (2025) - [i27]Yang Ji, Ying Sun, Yuting Zhang, Zhigaoyuan Wang, Yuanxin Zhuang, Zheng Gong, Dazhong Shen, Chuan Qin, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey on Self-Interpretable Neural Networks. CoRR abs/2501.15638 (2025) - [i26]Rui Cai, Chao Wang, Qianyi Cai, Dazhong Shen, Hui Xiong:
Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models. CoRR abs/2502.03715 (2025) - [i25]Dazhong Shen, Guanglu Song, Yi Zhang, Bingqi Ma, Lujundong Li, Dongzhi Jiang, Zhuofan Zong, Yu Liu:
ADT: Tuning Diffusion Models with Adversarial Supervision. CoRR abs/2504.11423 (2025) - [i24]Yuanxin Zhuang, Dazhong Shen, Ying Sun:
MolEditRL: Structure-Preserving Molecular Editing via Discrete Diffusion and Reinforcement Learning. CoRR abs/2505.20131 (2025) - [i23]Yuanxin Zhuang, Dazhong Shen, Ying Sun:
NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation. CoRR abs/2507.13133 (2025) - [i22]Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang:
FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens. CoRR abs/2510.15729 (2025) - [i21]Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong:
Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. CoRR abs/2511.12579 (2025) - [i20]Mingxu Zhang, Dazhong Shen, Ying Sun:
AtomDisc: An Atom-level Tokenizer that Boosts Molecular LLMs and Reveals Structure-Property Associations. CoRR abs/2512.03080 (2025) - [i19]Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Yunhao Liu, Yanyong Zhang, Chao Wang:
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition. CoRR abs/2512.10688 (2025) - [i18]Mingxu Zhang, Dazhong Shen, Qi Zhang, Ying Sun:
ChemATP: A Training-Free Chemical Reasoning Framework for Large Language Models. CoRR abs/2512.19240 (2025) - 2024
- [j9]Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen:
Career Mobility Analysis With Uncertainty-Aware Graph Autoencoders: A Job Title Transition Perspective. IEEE Trans. Comput. Soc. Syst. 11(1): 1205-1215 (2024) - [j8]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu, Hui Xiong:
RDGT: Enhancing Group Cognitive Diagnosis With Relation-Guided Dual-Side Graph Transformer. IEEE Trans. Knowl. Data Eng. 36(7): 3429-3442 (2024) - [j7]Chuan Qin, Hengshu Zhu, Dazhong Shen, Ying Sun, Kaichun Yao, Peng Wang, Hui Xiong:
Automatic Skill-Oriented Question Generation and Recommendation for Intelligent Job Interviews. ACM Trans. Inf. Syst. 42(1): 27:1-27:32 (2024) - [j6]Hanzhe Li, Jingjing Gu, Xinjiang Lu, Dazhong Shen, Yuting Liu, YaNan Deng, Guoliang Shi, Hui Xiong:
Beyond Relevance: Factor-level Causal Explanation for User Travel Decisions with Counterfactual Data Augmentation. ACM Trans. Inf. Syst. 42(5): 128:1-128:31 (2024) - [c14]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CVPR 2024: 9370-9379 - [c13]Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li:
Be-Your-Outpainter: Mastering Video Outpainting Through Input-Specific Adaptation. ECCV (44) 2024: 153-168 - [c12]Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong:
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. ICME 2024: 1-6 - [c11]Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang:
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. IJCAI 2024: 2027-2035 - [c10]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. KDD 2024: 4047-4058 - [c9]Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. NeurIPS 2024 - [c8]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:
Phased Consistency Models. NeurIPS 2024 - [c7]Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu:
MoVA: Adapting Mixture of Vision Experts to Multimodal Context. NeurIPS 2024 - [c6]Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong:
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. SIGIR 2024: 1242-1252 - [i17]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. CoRR abs/2401.10749 (2024) - [i16]Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang:
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. CoRR abs/2403.04287 (2024) - [i15]Fu-Yun Wang, Xiaoshi Wu, Zhaoyang Huang, Xiaoyu Shi, Dazhong Shen, Guanglu Song, Yu Liu, Hongsheng Li:
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation. CoRR abs/2403.13745 (2024) - [i14]Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong:
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. CoRR abs/2403.17416 (2024) - [i13]Dongzhi Jiang, Guanglu Song, Xiaoshi Wu, Renrui Zhang, Dazhong Shen, Zhuofan Zong, Yu Liu, Hongsheng Li:
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching. CoRR abs/2404.03653 (2024) - [i12]Dazhong Shen, Guanglu Song, Zeyue Xue, Fu-Yun Wang, Yu Liu:
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance. CoRR abs/2404.05384 (2024) - [i11]Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao, Dongzhi Jiang, Hongsheng Li, Yu Liu:
MoVA: Adapting Mixture of Vision Experts to Multimodal Context. CoRR abs/2404.13046 (2024) - [i10]Feihu Jiang, Chuan Qin, Jingshuai Zhang, Kaichun Yao, Xi Chen, Dazhong Shen, Chen Zhu, Hengshu Zhu, Hui Xiong:
Towards Efficient Resume Understanding: A Multi-Granularity Multi-Modal Pre-Training Approach. CoRR abs/2404.13067 (2024) - [i9]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:
Phased Consistency Model. CoRR abs/2405.18407 (2024) - [i8]Xiaoshan Yu, Chuan Qin, Dazhong Shen, Shangshang Yang, Haiping Ma, Hengshu Zhu, Xingyi Zhang:
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes. CoRR abs/2406.12465 (2024) - [i7]Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang:
Pretrained Reversible Generation as Unsupervised Visual Representation Learning. CoRR abs/2412.01787 (2024) - [i6]Zhuofan Zong, Dongzhi Jiang, Bingqi Ma, Guanglu Song, Hao Shao, Dazhong Shen, Yu Liu, Hongsheng Li:
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM. CoRR abs/2412.09618 (2024) - 2023
- [j5]Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [j4]Dazhong Shen, Hengshu Zhu, Keli Xiao, Xi Zhang, Hui Xiong:
Exploiting Connections among Personality, Job Position, and Work Behavior: Evidence from Joint Bayesian Learning. ACM Trans. Manag. Inf. Syst. 14(3): 26:1-26:20 (2023) - [j3]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41(1): 3:1-3:32 (2023) - [c5]Yunfei Zhang, Chuan Qin, Dazhong Shen, Haiping Ma, Le Zhang, Xingyi Zhang, Hengshu Zhu:
ReliCD: A Reliable Cognitive Diagnosis Framework with Confidence Awareness. ICDM 2023: 858-867 - [i5]Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong:
Preference or Intent? Double Disentangled Collaborative Filtering. CoRR abs/2305.11084 (2023) - [i4]Chuan Qin, Le Zhang, Rui Zha, Dazhong Shen, Qi Zhang, Ying Sun, Chen Zhu, Hengshu Zhu, Hui Xiong:
A Comprehensive Survey of Artificial Intelligence Techniques for Talent Analytics. CoRR abs/2307.03195 (2023) - 2022
- [j2]Qingxin Meng, Keli Xiao, Dazhong Shen, Hengshu Zhu, Hui Xiong:
Fine-Grained Job Salary Benchmarking with a Nonparametric Dirichlet Process-Based Latent Factor Model. INFORMS J. Comput. 34(5): 2443-2463 (2022) - [j1]Dazhong Shen, Chuan Qin, Hengshu Zhu, Tong Xu, Enhong Chen, Hui Xiong:
Joint Representation Learning with Relation-Enhanced Topic Models for Intelligent Job Interview Assessment. ACM Trans. Inf. Syst. 40(1): 15:1-15:36 (2022) - 2021
- [c4]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI 2021: 2964-2970 - [c3]Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong:
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS 2021: 14681-14693 - [c2]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. WWW 2021: 1284-1295 - [i3]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen:
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR abs/2102.03577 (2021) - [i2]Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong:
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR abs/2110.12381 (2021)
2010 – 2019
- 2019
- [i1]Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong:
Machine Learning-enhanced Realistic Framework for Real-time Seismic Monitoring - The Winning Solution of the 2017 International Aftershock Detection Contest. CoRR abs/1911.09275 (2019) - 2018
- [c1]Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong:
A Joint Learning Approach to Intelligent Job Interview Assessment. IJCAI 2018: 3542-3548
Coauthor Index
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