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2020 – today
- 2024
[j13]Jie Zuo
, Bo Yang, Xiling Xiao, Chengcheng Sun, Jian Huang:
Online Monitoring for Human Sit-to-Stand Movement Based on Karush-Kuhn-Tucker Optimized Zonotope Set-Membership Filter. IEEE Trans. Biomed. Eng. 71(3): 758-771 (2024)- [c33]Yang Wang, Xinye Wang, Chengxin He, Xiaocong Chen, Zhaohang Luo, Lei Duan, Jie Zuo:
Community-Guided Contrastive Learning with Anomaly-Aware Reconstruction for Anomaly Detection on Attributed Networks. DASFAA (7) 2024: 199-209 - [i2]Dengchun Li, Yingzi Ma, Naizheng Wang, Zhiyuan Cheng, Lei Duan, Jie Zuo, Cal Yang, Mingjie Tang:
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA based Mixture of Experts. CoRR abs/2404.15159 (2024) - 2023
- [j12]Yong Yang, Chengrui Gao, Zhangqiang Ming, Jixiang Guo, Edou Leopold, Junlong Cheng, Jie Zuo, Min Zhu:
LatLRR-CNN: an infrared and visible image fusion method combining latent low-rank representation and CNN. Multim. Tools Appl. 82(23): 36303-36323 (2023) - [j11]Jie Zuo, Quan Liu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Event-Triggered Adaptive Hybrid Torque-Position Control (ET-AHTPC) for Robot-Assisted Ankle Rehabilitation. IEEE Trans. Ind. Electron. 70(5): 4993-5003 (2023) - [c32]Yuanhao Zhang, Chengxin He, Longhai Li, Bingzhe Zhang, Lei Duan, Jie Zuo:
Hypergraph-Enhanced Self-supervised Heterogeneous Graph Representation Learning. APWeb/WAIM (3) 2023: 280-295 - [c31]Zhenjiang Zhao, Chengxin He, Yuening Qu, Huiru Zheng, Lei Duan, Jie Zuo:
MGDTI: Graph Transformer with Meta-Learning for Drug-Target Interaction Prediction. BIBM 2023: 801-806 - [c30]Yujia Liao, Quan Liu, Jie Zuo, Wei Meng, Qingsong Ai:
The Application of Hybrid Dynamic Recurrent Fuzzy Neural Network in Lower Limb Rehabilitation Function Evaluation. ICIRA (2) 2023: 173-184 - [i1]Zhengmao Ye, Dengchun Li, Jingqi Tian, Tingfeng Lan, Jie Zuo, Lei Duan, Hui Lu, Yexi Jiang, Jian Sha, Ke Zhang, Mingjie Tang:
ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU. CoRR abs/2312.02515 (2023) - 2022
- [j10]Quan Liu, Jie Zuo, Chengxiang Zhu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Design and Hierarchical Force-Position Control of Redundant Pneumatic Muscles-Cable-Driven Ankle Rehabilitation Robot. IEEE Robotics Autom. Lett. 7(1): 502-509 (2022) - [c29]Xing-Rong Fan, Jie Zuo, Wen-Ting He, Wei Liu:
Stacking based prediction of COVID-19 Pandemic by integrating infectious disease dynamics model and traditional machine learning. BDIOT 2022: 20-26 - [c28]Junjie Zhang, Xinye Wang, Zhenyang Yu, Menglin Huang, Lei Duan, Jie Zuo:
STEAM: SVDD-based Anomaly Detection on Attributed Networks via Multi-Autoencoders. HPCC/DSS/SmartCity/DependSys 2022: 595-602 - 2020
- [j9]Quan Liu, Jie Zuo, Chang Zhu, Sheng Quan Xie:
Design and control of soft rehabilitation robots actuated by pneumatic muscles: State of the art. Future Gener. Comput. Syst. 113: 620-634 (2020) - [j8]Qingsong Ai, Da Ke, Jie Zuo, Wei Meng, Quan Liu, Zhiqiang Zhang, Sheng Quan Xie:
High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence. IEEE Trans. Ind. Electron. 67(11): 9548-9559 (2020) - [c27]Bangjun He, Jie Zuo, Qiaoyan Feng, Guicai Xie, Ruiqi Qin, Zihao Chen, Lei Duan:
EvsJSON: An Efficient Validator for Split JSON Documents. DASFAA (3) 2020: 775-779
2010 – 2019
- 2019
- [j7]Qingsong Ai, Yuan Peng, Jie Zuo, Wei Meng, Quan Liu:
Hammerstein model for hysteresis characteristics of pneumatic muscle actuators. Int. J. Intell. Robotics Appl. 3(1): 33-44 (2019) - [c26]Kaiwen Song, Xinao Wang, Yidan Zhang, Jie Zuo:
Representation learning for heterogeneous network with multiple link attributes. ACM TUR-C 2019: 56:1-56:5 - [c25]Jie Liu, Jie Zuo, Ruiqi Qin:
Mining top-k distinguishing periodic patterns in temporal databases. ACM TUR-C 2019: 57:1-57:5 - [c24]Xiaohui Zhang, Jie Zuo:
Measuring similarity between sequential datasets. ACM TUR-C 2019: 58:1-58:5 - [c23]Geng Deng, Licheng Liu, Jie Zuo:
Scoring framework of soccer matches using possession trajectory data. ACM TUR-C 2019: 59:1-59:2 - [c22]Chengxin He, Yidan Zhang, Jie Zuo:
Construction of a heterogeneous information network by fusing multi-source biomedical data. ACM TUR-C 2019: 60:1-60:2 - [c21]Zemin Liu, Qingsong Ai, Yaojie Liu, Jie Zuo, Xiong Zhang, Wei Meng, Shane S. Q. Xie:
An Optimal Motion Planning Method of 7-DOF Robotic Arm for Upper Limb Movement Assistance. AIM 2019: 277-282 - [c20]Wei Meng, Chengxiang Zhu, Jie Zuo, Qingsong Ai, Quan Liu, Sheng Quan Xie:
Design and Modelling of a Compliant Ankle Rehabilitation Robot Redundantly Driven by Pneumatic Muscles. AIM 2019: 459-464 - [c19]Weifeng Wu, Da Li, Wei Meng, Jie Zuo, Quan Liu, Qingsong Ai:
Iterative Feedback Tuning-based Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle. AIM 2019: 954-959 - [c18]Jie Zuo, Wei Meng, Quan Liu, Qingsong Ai, Sheng Quan Xie, Zude Zhou:
Coupling Disturbance Compensated MIMO Control of Parallel Ankle Rehabilitation Robot Actuated by Pneumatic Muscles. IROS 2019: 6608-6613 - 2018
- [j6]Lei Duan, Tinghai Pang, Jyrki Nummenmaa, Jie Zuo, Peng Zhang, Changjie Tang:
Bus-OLAP: A Data Management Model for Non-on-Time Events Query Over Bus Journey Data. Data Sci. Eng. 3(1): 52-67 (2018) - [j5]Naqash Rehmat, Jie Zuo, Wei Meng, Quan Liu, Sheng Quan Xie, Hui Liang:
Upper limb rehabilitation using robotic exoskeleton systems: a systematic review. Int. J. Intell. Robotics Appl. 2(3): 283-295 (2018) - [j4]Qingsong Ai, Chengxiang Zhu, Jie Zuo, Wei Meng, Quan Liu, Sheng Quan Xie, Ming Yang:
Disturbance-Estimated Adaptive Backstepping Sliding Mode Control of a Pneumatic Muscles-Driven Ankle Rehabilitation Robot. Sensors 18(1): 66 (2018) - [c17]Xingxing Guo, Quan Liu, Jie Zuo, Wei Meng, Qingsong Ai, Zude Zhou, Wenjun Xu:
A Novel Pneumatic Artificial Muscle -driven Robot for Multi-joint Progressive Rehabilitation. ICDL-EPIROB 2018: 78-83 - 2017
- [c16]Tinghai Pang, Lei Duan, Jyrki Nummenmaa, Jie Zuo, Peng Zhang:
Bus-OLAP: A Bus Journey Data Management Model for Non-on-time Events Query. APWeb/WAIM (2) 2017: 185-200 - 2013
- [j3]Lei Duan, Changjie Tang, Xiaosong Li, Guozhu Dong, Xianming Wang, Jie Zuo, Min Jiang, Zhongqi Li, Yongqing Zhang:
Mining effective multi-segment sliding window for pathogen incidence rate prediction. Data Knowl. Eng. 87: 425-444 (2013) - 2011
- [c15]Lei Duan, Changjie Tang, Chi Gou, Min Jiang, Jie Zuo:
Mining Good Sliding Window for Positive Pathogens Prediction in Pathogenic Spectrum Analysis. ADMA (2) 2011: 152-165 - 2010
- [c14]Lei Duan, Jie Zuo, Tianqing Zhang, Jing Peng, Jie Gong:
Mining Contrast Inequalities in Numeric Dataset. WAIM 2010: 194-205 - [c13]Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Hong-Jun Li, Jun Zhu:
An Efficient Approach for Mining Segment-Wise Intervention Rules in Time-Series Streams. WAIM 2010: 238-249
2000 – 2009
- 2009
- [j2]Kaikuo Xu, Yintian Liu, Rong Tang, Jie Zuo, Jun Zhu, Changjie Tang:
A novel method for real parameter optimization based on Gene Expression Programming. Appl. Soft Comput. 9(2): 725-737 (2009) - [c12]Lei Duan, Changjie Tang, Liang Tang, Tianqing Zhang, Jie Zuo:
Mining Class Contrast Functions by Gene Expression Programming. ADMA 2009: 116-127 - [c11]Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, Jun Zhu:
Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. APWeb/WAIM Workshops 2009: 234-244 - [c10]Lei Duan, Changjie Tang, Liang Tang, Jie Zuo, Tianqing Zhang:
An Effective Microarray Data Classifier Based on Gene Expression Programming. ICNC (4) 2009: 523-527 - [c9]Liang Tang, Changjie Tang, Lei Duan, Yexi Jiang, Jie Zuo, Jun Zhu:
SLICE: A Novel Method to Find Local Linear Correlations by Constructing Hyperplanes. APWeb/WAIM 2009: 635-640 - 2008
- [c8]Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengqiao Ni, Liang Tang, Yue Zhang, Shaojie Qiao:
MPSQAR: Mining Quantitative Association Rules Preserving Semantics. ADMA 2008: 572-580 - [c7]Taiyong Li, Changjie Tang, Jiang Wu, Qian Luo, Shengzhi Li, Xun Lin, Jie Zuo:
k-Anonymity via Clustering Domain Knowledge for Privacy Preservation. FSKD (4) 2008: 697-701 - [c6]Kaikuo Xu, Changjie Tang, Rong Tang, Yintian Liu, Jie Zuo, Jun Zhu:
Application of Gene Expression Programming to Real Parameter Optimization. ICNC (6) 2008: 273-277 - [c5]Jiang Wu, Changjie Tang, Taiyong Li, Yue Jiang, Shangyu Ye, Xun Lin, Jie Zuo:
A Multiple Evolutionary Neural Network Classifier Based on Niche Genetic Algorithm. ICNC (3) 2008: 405-409 - 2007
- [c4]Jiangtao Qiu, Changjie Tang, Tao Zeng, Shaojie Qiao, Jie Zuo, Peng Chen, Jun Zhu:
A Novel Text Classification Approach Based on Enhanced Association Rule. ADMA 2007: 252-263 - [c3]Lei Duan, Changjie Tang, Jun Zhu, Jie Zuo, Yintian Liu, Jiang Wu, Li Dai:
The Strategies of Initial Diversity and Dynamic Mutation Rate for Gene Expression Programming. ICNC (4) 2007: 265-269 - 2004
- [c2]Jie Zuo, Changjie Tang, Chuan Li, Chang-an Yuan, An-long Chen:
Time Series Prediction Based on Gene Expression Programming. WAIM 2004: 55-64 - 2002
- [c1]Jie Zuo, Changjie Tang, Tianqing Zhang:
Mining Predicate Association Rule by Gene Expression Programming. WAIM 2002: 92-103 - 2001
- [j1]Tong Li, Changjie Tang, Jie Zuo, Tianqing Zhang:
Web Document Filtering Technique Based on Natural Language Understanding. Int. J. Comput. Process. Orient. Lang. 14(3): 279-291 (2001)
Coauthor Index
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