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2020 – today
- 2025
[j13]Mi Wen, Zhehui Chen
, Yun Xiong, Yichuan Zhang:
LGAT: A novel model for multivariate time series anomaly detection with improved anomaly transformer and learning graph structures. Neurocomputing 617: 129024 (2025)- 2024
- [j12]Junkai Ren, Yixing Lan, Xin Xu, Yichuan Zhang, Qiang Fang, Yujun Zeng:
Deep reinforcement learning using least-squares truncated temporal-difference. CAAI Trans. Intell. Technol. 9(2): 425-439 (2024) - [j11]Ying Cui, Shangwei Ji, Yejun Zha, Xinhua Zhou, Yichuan Zhang, Tianfeng Zhou:
An Automatic Method for Elbow Joint Recognition, Segmentation and Reconstruction. Sensors 24(13): 4330 (2024) - [c19]Shiyao Zhang, Yuji Dong, Yichuan Zhang, Terry R. Payne, Jie Zhang:
Large Language Model Assissted Multi-Agent Dialogue for Ontology Alignment. AAMAS 2024: 2594-2596 - 2023
- [j10]Jun Liang, Jian-Ping Liu, Qing Sun, Yue-he Zhu, Yichuan Zhang, Jian-Guo Song, Bo-Yong He:
A Fast Approach to Satellite Range Rescheduling Using Deep Reinforcement Learning. IEEE Trans. Aerosp. Electron. Syst. 59(6): 9390-9403 (2023) - [c18]Yichuan Zhang, Weiming Li, Wenyu Lin:
Research on Optimization Allocation Technology of Rural Electric Power Use Based on Artificial Intelligence Algorithm. ICISCAE 2023: 869-874 - 2022
- [j9]Yichuan Zhang, Yadi Liu, Guangming Yang, Jie Song:
DFT: A deep feature-based semi-supervised collaborative training for vehicle recognition in smart cities. Expert Syst. J. Knowl. Eng. 39(5) (2022) - [j8]Yichuan Zhang, Yadi Liu, Guangming Yang, Jie Song:
SSIT: a sample selection-based incremental model training method for image recognition. Neural Comput. Appl. 34(4): 3117-3134 (2022) - 2021
- [j7]Shujun Yang, Yichuan Zhang, Lianbo Ma, Yan Song, Ping Zhou, Gang Shi, Hanning Chen:
A Novel Maximin-Based Multi-Objective Evolutionary Algorithm Using One-by-One Update Scheme for Multi-Robot Scheduling Optimization. IEEE Access 9: 121316-121328 (2021) - [j6]Yichuan Zhang, Yixing Lan, Qiang Fang, Xin Xu, Junxiang Li, Yujun Zeng:
Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction. Comput. Intell. Neurosci. 2021: 7588221:1-7588221:16 (2021) - [c17]Yichuan Zhang, Junkai Ren, Junxiang Li, Qiang Fang, Xin Xu:
Deep Q-learning with Explainable and Transferable Domain Rules. ICIC (2) 2021: 259-273 - [c16]Andrew Campbell, Wenlong Chen, Vincent Stimper, José Miguel Hernández-Lobato, Yichuan Zhang:
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization. ICML 2021: 1238-1248 - [c15]Chi Lin, Yongda Yu, Jie Xiong, Yichuan Zhang, Lei Wang, Guowei Wu, Zhongxuan Luo:
Shrimp: a robust underwater visible light communication system. MobiCom 2021: 134-146 - [c14]Junkai Ren, Yichuan Zhang, Yujun Zeng, Yixing Lan:
Data-efficient Deep Reinforcement Learning Method Toward Scaling Continuous Robotic Task with Sparse Rewards. RCAR 2021: 1425-1431 - [c13]Yichuan Zhang, Jiefeng Li, Hang Wang:
Indoor Seat Occupancy Classification with Wi-Fi Channel State Information and Machine Learning Methods. SSIP 2021: 72-81
2010 – 2019
- 2019
- [j5]Tiantian Li, Tianyu Zhang, Ge Yu, Yichuan Zhang, Jie Song:
TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System. J. Circuits Syst. Comput. 28(2): 1950029:1-1950029:19 (2019) - [c12]Lianbo Ma, Tao Zhang, Rui Wang, Guangming Yang, Yichuan Zhang:
PBAR: Parallelized Brain Storm Optimization for Association Rule Mining. CEC 2019: 1148-1156 - [i4]Jie Song, Yichuan Zhang, Yubin Bao, Ge Yu:
Probery: A Probability-based Incomplete Query Optimization for Big Data. CoRR abs/1901.00113 (2019) - 2018
- [j4]Jie Song, Han Wang, Yichuan Zhang, Yubing Bao, Ge Yu:
Mim: A Merge Iteration and Its Applications for Big Data. IEEE Access 6: 66984-66997 (2018) - [j3]Ke Ma, Yichuan Zhang, Zhongxuan Yang:
Research on Mass Real Estate Evaluation Mode Based on BP Neural Network Model. J. Adv. Comput. Intell. Intell. Informatics 22(7): 1099-1103 (2018) - [j2]Jie Song, Zhongyi Ma, Yichuan Zhang, Tiantian Li, Ge Yu:
Rim: A reusable iterative model for big data. Knowl. Based Syst. 153: 105-116 (2018) - [c11]Yishuo Liu, Yichuan Zhang, Shiliang Zuo, Wai-Tat Fu:
BoatAR: a multi-user augmented-reality platform for boat. VRST 2018: 74:1-74:2 - [i3]Yichuan Zhang, José Miguel Hernández-Lobato, Zoubin Ghahramani:
Variational Measure Preserving Flows. CoRR abs/1805.10377 (2018) - [i2]Yichuan Zhang:
The Theory and Algorithm of Ergodic Inference. CoRR abs/1811.07192 (2018) - 2015
- [j1]Li Zhang, Yichuan Zhang, Pooyan Jamshidi, Lei Xu, Claus Pahl:
Service workload patterns for Qos-driven cloud resource management. J. Cloud Comput. 4: 23 (2015) - [c10]Junhong Wu, Hong Xiao, Shuhong Sheng, Yan Zhang, Xiukun Sun, Yichuan Zhang:
The Research Purpose, Methods and Results of the "Annual Report for International Citations of China's Academic Journals". ISSI 2015 - 2014
- [c9]Yichuan Zhang, Charles Sutton:
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models. NIPS 2014: 10-18 - [c8]Li Zhang, Yichuan Zhang, Pooyan Jamshidi, Lei Xu, Claus Pahl:
Workload Patterns for Quality-Driven Dynamic Cloud Service Configuration and Auto-Scaling. UCC 2014: 156-165 - [i1]Yichuan Zhang, Charles Sutton:
Semi-Separable Hamiltonian Monte Carlo for Inference in Bayesian Hierarchical Models. CoRR abs/1406.3843 (2014) - 2012
- [c7]Yichuan Zhang, Charles Sutton, Amos J. Storkey, Zoubin Ghahramani:
Continuous Relaxations for Discrete Hamiltonian Monte Carlo. NIPS 2012: 3203-3211 - 2011
- [c6]Yichuan Zhang, Charles Sutton:
Quasi-Newton Methods for Markov Chain Monte Carlo. NIPS 2011: 2393-2401
2000 – 2009
- 2009
- [c5]Anguo Qi, Lifang Qiao, Yongdong Sun, Lianfang Yao, Yichuan Zhang, Weirong Luo:
Tackling River Pollution Ecologically: A Case Study on the Ji River of Gansu Province. ESIAT (2) 2009: 47-50 - [c4]Lifang Qiao, Yichuan Zhang, Xinzheng Li, Lili Song, Da Mao:
Researches of the Industrial Wasteland Tourism in China. ESIAT (1) 2009: 225-228 - [c3]Lifang Qiao, Yichuan Zhang, Wenjie Zhang, Da Mao, Lianfang Yao:
Application of GIS Technology in Chinese Tourism. ESIAT (1) 2009: 401-404 - [c2]Yichuan Zhang, Lifang Qiao, Lilei Zhang, Teng Chen:
Analytic Scoring of Landscape CAD Course Based on BP Neural Network. ICETC 2009: 13-16 - [c1]Yichuan Zhang, Anguo Qi, Jianwei Wang, Yao Wang:
Teacher Teaching Effectiveness Test on Landscape CAD Course. ICETC 2009: 17-19
Coauthor Index
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