Jinze Wu

49 papers A* 13A 5B 1Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
EduYOLO: A classroom behavior recognition framework based on high-resolution feature attention fusion.
Expert Syst. Appl.
Jun Yu, Shengzhao Li, Huijie Liu, Qi Liu, Chang Tan, Zhiyuan Cheng, Jinze Wu
2025 J jnl
A novel design technique for high-efficiency tri-band power amplifiers with enhanced out-of-band suppression.
Microelectron. J.
Hao Li, Cuiping Yu, Jinze Wu, Zehao Chen, Feifei Li, Jindong Zhang, Xunnan Zhang, Tao Yang, Yuanan Liu
2025 A* conf
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective.
ICML
Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen
2025 J jnl
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective.
CoRR
Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen
2025 J jnl
Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks.
IEEE Trans. Netw.
Jinze Wu, Lorenzo Zino, Zhiyun Lin, Alessandro Rizzo
2025 — conf
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation.
ACL (1)
Cheng Cheng, Zhenya Huang, Guanhao Zhao, Yuxiang Guo, Xin Lin, Jinze Wu, Xin Li, Shijin Wang
2025 J jnl
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation.
CoRR
Cheng Cheng, Zhenya Huang, Guanhao Zhao, Yuxiang Guo, Xin Lin, Jinze Wu, Xin Li, Shijin Wang
2025 A conf
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning.
IROS
Xin Liu, Jinze Wu, Yinghui Li, Chenkun Qi, Yufei Xue, Feng Gao
2025 J jnl
Learning Natural and Robust Hexapod Locomotion over Complex Terrains via Motion Priors based on Deep Reinforcement Learning.
CoRR
Xin Liu, Jinze Wu, Yinghui Li, Chenkun Qi, Yufei Xue, Feng Gao
2025 J jnl
Learning to Explore Efficiently: Heterogeneous Topological Graphs and Lightweight Global Reasoning for Robotic Exploration.
IEEE Robotics Autom. Lett.
Zhi Li, Kairao Zheng, Yiqing Yuan, Junlong Huang, Xiaoxun Zhang, Jinze Wu, Hui Cheng
2025 J jnl
Skill Latent Space Based Multigait Learning for a Legged Robot.
IEEE Trans. Ind. Electron.
Xin Liu, Jinze Wu, Yufei Xue, Chenkun Qi, Guiyang Xin, Feng Gao
2025 J jnl
XDen-1K: A Density Field Dataset of Real-World Objects.
CoRR
Jingxuan Zhang, Tianqi Yu, Yatu Zhang, Jinze Wu, Kaixin Yao, Jingyang Liu, Yuyao Zhang, Jiayuan Gu, Jingyi Yu
2024 A* conf
Computerized Adaptive Testing via Collaborative Ranking.
NeurIPS
Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang
2024 J jnl
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning.
Expert Syst. Appl.
Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu
2024 J jnl
End-to-End Graph Flattening Method for Large Language Models.
CoRR
Bin Hong, Jinze Wu, Jiayu Liu, Liang Ding, Jing Sha, Kai Zhang, Shijin Wang, Zhenya Huang
2024 A conf
Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits.
IROS
Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue
2024 J jnl
Experience-Learning Inspired Two-Step Reward Method for Efficient Legged Locomotion Learning Towards Natural and Robust Gaits.
CoRR
Yinghui Li, Jinze Wu, Xin Liu, Weizhong Guo, Yufei Xue
2024 A conf
Graph-based Student Knowledge Profile for Online Intelligent Education.
SDM
Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang
2024 A* conf
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective.
KDD
Haotian Zhang, Shuanghong Shen, Bihan Xu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang
2024 A* conf
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process.
IJCAI
Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen
2024 J jnl
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process.
CoRR
Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen
2024 A* conf
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models.
NeurIPS
Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen
2024 A* conf
Unified Uncertainty Estimation for Cognitive Diagnosis Models.
WWW
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
2024 J jnl
Unified Uncertainty Estimation for Cognitive Diagnosis Models.
CoRR
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
2023 A* conf
A Bounded Ability Estimation for Computerized Adaptive Testing.
NeurIPS
Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li
2023 J jnl
A Novel Approach for Auto-Formulation of Optimization Problems.
CoRR
Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu
2023 A* conf
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization.
IJCAI
Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu
2023 A* conf
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning.
AAAI
Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu
2023 J jnl
Cooperative pointing control of collinear double-integrators without angular velocity.
J. Frankl. Inst.
Jinze Wu, Shuai Yuan, Qingqing Dang, Fan Zhang, Wenwu Yu
2023 J jnl
Distributed Finite-Time Cooperative Localization for Three-Dimensional Sensor Networks.
CoRR
Jinze Wu, Lorenzo Zino, Zhiyun Lin, Alessandro Rizzo
2023 J jnl
Federated User Modeling from Hierarchical Information.
ACM Trans. Inf. Syst.
Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou
2023 A* conf
Learning Behavior-oriented Knowledge Tracing.
KDD
Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang
2023 J jnl
Learning Multiple Gaits within Latent Space for Quadruped Robots.
CoRR
Jinze Wu, Yufei Xue, Chenkun Qi
2023 J jnl
Learning Robust and Agile Legged Locomotion Using Adversarial Motion Priors.
IEEE Robotics Autom. Lett.
Jinze Wu, Guiyang Xin, Chenkun Qi, Yufei Xue
2023 A conf
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.
CIKM
Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen
2022 J jnl
ConnectorX: Accelerating Data Loading From Databases to Dataframes.
Proc. VLDB Endow.
Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou
2022 J jnl
Cooperative Guidance Strategy for Active Defense Spacecraft with Imperfect Information via Deep Reinforcement Learning.
CoRR
Li Zhi, Haizhao Liang, Jinze Wu, Jianying Wang, Yu Zheng
2022 — conf
Dynamic Clustering Federated Learning for Non-IID Data.
CICAI (3)
Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen
2022 J jnl
Graph-based cognitive diagnosis for intelligent tutoring systems.
Knowl. Based Syst.
Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie
2022 J jnl
Language-Driven Robot Manipulation With Perspective Disambiguation and Placement Optimization.
IEEE Robotics Autom. Lett.
Kaixiang Huang, Yuxuan Han, Jinze Wu, Fangzhou Qiu, Qing Tang
2021 A conf
Federated Deep Knowledge Tracing.
WSDM
Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
2021 A* conf
Hierarchical Personalized Federated Learning for User Modeling.
WWW
Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou
2021 A* conf
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.
KDD
Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma
2021 J jnl
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing.
Knowl. Based Syst.
Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang
2020 — conf
Distributed Concurrent Targeting of Point Source Queues.
ICCA
Jinze Wu, Fan Zhang, Weihua Pu, Guanghui Wen, Wenwu Yu
2020 J jnl
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.
CoRR
Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma
2020 A* conf
Neural Mathematical Solver with Enhanced Formula Structure.
SIGIR
Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen
2020 J jnl
Proximity as a Service for the Use Case of Access Enhancement Via Cellular Network-Assisted Mobile Device-to-Device.
IEEE Access
Tianhao Guo, John A. Schormans, Lexi Xu, Jinze Wu, Yue Cao
2019 B conf
Edge-Cloud Collaborative Computation Offloading Model Based on Improved Partical Swarm Optimization in MEC.
ICPADS
Jinze Wu, Zhiying Cao, Yingjun Zhang, Xiuguo Zhang