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Jinze Wu
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2020 – today
- 2024
- [j9]Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu:
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning. Expert Syst. Appl. 252: 124259 (2024) - [c16]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. IJCAI 2024: 6559-6568 - [c15]Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang:
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. KDD 2024: 4167-4178 - [c14]Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang:
Graph-based Student Knowledge Profile for Online Intelligent Education. SDM 2024: 379-387 - [c13]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. WWW 2024: 3545-3554 - [i9]Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue:
Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits. CoRR abs/2401.12389 (2024) - [i8]Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang:
Unified Uncertainty Estimation for Cognitive Diagnosis Models. CoRR abs/2403.14676 (2024) - [i7]Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen:
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. CoRR abs/2405.06232 (2024) - [i6]Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang:
End-to-End Graph Flattening Method for Large Language Models. CoRR abs/2409.14880 (2024) - 2023
- [j8]Jinze Wu, Shuai Yuan, Qingqing Dang, Fan Zhang, Wenwu Yu:
Cooperative pointing control of collinear double-integrators without angular velocity. J. Frankl. Inst. 360(12): 9050-9064 (2023) - [j7]Jinze Wu, Guiyang Xin, Chenkun Qi, Yufei Xue:
Learning Robust and Agile Legged Locomotion Using Adversarial Motion Priors. IEEE Robotics Autom. Lett. 8(8): 4975-4982 (2023) - [j6]Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [c12]Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. AAAI 2023: 5018-5026 - [c11]Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM 2023: 3423-3432 - [c10]Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu:
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization. IJCAI 2023: 1676-1685 - [c9]Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang:
Learning Behavior-oriented Knowledge Tracing. KDD 2023: 2789-2800 - [c8]Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li:
A Bounded Ability Estimation for Computerized Adaptive Testing. NeurIPS 2023 - [i5]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i4]Jinze Wu, Yufei Xue, Chenkun Qi:
Learning Multiple Gaits within Latent Space for Quadruped Robots. CoRR abs/2308.03014 (2023) - [i3]Jinze Wu, Lorenzo Zino, Zhiyun Lin, Alessandro Rizzo:
Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks. CoRR abs/2309.11411 (2023) - 2022
- [j5]Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie:
Graph-based cognitive diagnosis for intelligent tutoring systems. Knowl. Based Syst. 253: 109547 (2022) - [j4]Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou:
ConnectorX: Accelerating Data Loading From Databases to Dataframes. Proc. VLDB Endow. 15(11): 2994-3003 (2022) - [j3]Kaixiang Huang, Yuxuan Han, Jinze Wu, Fangzhou Qiu, Qing Tang:
Language-Driven Robot Manipulation With Perspective Disambiguation and Placement Optimization. IEEE Robotics Autom. Lett. 7(2): 4188-4195 (2022) - [c7]Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen:
Dynamic Clustering Federated Learning for Non-IID Data. CICAI (3) 2022: 119-131 - [i2]Li Zhi, Haizhao Liang, Jinze Wu, Jianying Wang, Yu Zheng:
Cooperative Guidance Strategy for Active Defense Spacecraft with Imperfect Information via Deep Reinforcement Learning. CoRR abs/2212.03093 (2022) - 2021
- [j2]Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang:
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing. Knowl. Based Syst. 218: 106819 (2021) - [c6]Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma:
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. KDD 2021: 2420-2428 - [c5]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c4]Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Hierarchical Personalized Federated Learning for User Modeling. WWW 2021: 957-968 - 2020
- [j1]Tianhao Guo, John A. Schormans, Lexi Xu, Jinze Wu, Yue Cao:
Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device. IEEE Access 8: 31562-31573 (2020) - [c3]Jinze Wu, Fan Zhang, Weihua Pu, Guanghui Wen, Wenwu Yu:
Distributed Concurrent Targeting of Point Source Queues. ICCA 2020: 648-653 - [c2]Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen:
Neural Mathematical Solver with Enhanced Formula Structure. SIGIR 2020: 1729-1732 - [i1]Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR abs/2012.03292 (2020)
2010 – 2019
- 2019
- [c1]Jinze Wu, Zhiying Cao, Yingjun Zhang, Xiuguo Zhang:
Edge-Cloud Collaborative Computation Offloading Model Based on Improved Partical Swarm Optimization in MEC. ICPADS 2019: 959-962
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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