Jinze Wu

According to our database, Jinze Wu authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unified Uncertainty Estimation for Cognitive Diagnosis Models.

Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang

CoRR, 2024

Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits.

Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue

CoRR, 2024

2023

Federated User Modeling from Hierarchical Information.

Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou

ACM Trans. Inf. Syst., April, 2023

Learning Robust and Agile Legged Locomotion Using Adversarial Motion Priors.

Jinze Wu, Guiyang Xin, Chenkun Qi, Yufei Xue

IEEE Robotics Autom. Lett., 2023

Cooperative pointing control of collinear double-integrators without angular velocity.

Jinze Wu, Shuai Yuan, Qingqing Dang, Fan Zhang, Wenwu Yu

J. Frankl. Inst., 2023

Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks.

Jinze Wu, Lorenzo Zino, Zhiyun Lin, Alessandro Rizzo

CoRR, 2023

Learning Multiple Gaits within Latent Space for Quadruped Robots.

Jinze Wu, Yufei Xue, Chenkun Qi

CoRR, 2023

A Novel Approach for Auto-Formulation of Optimization Problems.

Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu

CoRR, 2023

A Bounded Ability Estimation for Computerized Adaptive Testing.

Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Behavior-oriented Knowledge Tracing.

Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization.

Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.

Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning.

Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Language-Driven Robot Manipulation With Perspective Disambiguation and Placement Optimization.

Kaixiang Huang, Yuxuan Han, Jinze Wu, Fangzhou Qiu, Qing Tang

IEEE Robotics Autom. Lett., 2022

ConnectorX: Accelerating Data Loading From Databases to Dataframes.

Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou

Proc. VLDB Endow., 2022

Graph-based cognitive diagnosis for intelligent tutoring systems.

Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie

Knowl. Based Syst., 2022

Cooperative Guidance Strategy for Active Defense Spacecraft with Imperfect Information via Deep Reinforcement Learning.

Li Zhi, Haizhao Liang, Jinze Wu, Jianying Wang, Yu Zheng

CoRR, 2022

Dynamic Clustering Federated Learning for Non-IID Data.

Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing.

Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang

Knowl. Based Syst., 2021

Hierarchical Personalized Federated Learning for User Modeling.

Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou

Proceedings of the WWW '21: The Web Conference 2021, 2021

Federated Deep Knowledge Tracing.

Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang

Proceedings of the WSDM '21, 2021

Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.

Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.

Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma

CoRR, 2020

Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device.

Tianhao Guo, John A. Schormans, Lexi Xu, Jinze Wu, Yue Cao

IEEE Access, 2020

Neural Mathematical Solver with Enhanced Formula Structure.

Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Distributed Concurrent Targeting of Point Source Queues.

Jinze Wu, Fan Zhang, Weihua Pu, Guanghui Wen, Wenwu Yu

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020

2019

Edge-Cloud Collaborative Computation Offloading Model Based on Improved Partical Swarm Optimization in MEC.

Jinze Wu, Zhiying Cao, Yingjun Zhang, Xiuguo Zhang

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019