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Publication search results
found 57 matches
- 2024
- Yajie Zhang, Chengming Wu, Ye Tian, Xingyi Zhang:
A co-evolutionary algorithm based on sparsity clustering for sparse large-scale multi-objective optimization. Eng. Appl. Artif. Intell. 133: 108194 (2024) - Yajie Bao, Tianwei Xing, Xun Chen:
Confidence-based interactable neural-symbolic visual question answering. Neurocomputing 564: 126991 (2024) - Xingang Du, Bing Zhao, Dehui Ge, Yajie Li:
Abnormal User Identification in Substation Area Based on Restricted Ridge Regression Model. J. Circuits Syst. Comput. 33(11): 2450070:1-2450070:13 (2024) - Ya-Jie Liu, Hui Alan Wang, Xiang-Ke Chang, Xing-Biao Hu, Ying-Nan Zhang:
Integrable Variants of the Toda Lattice. J. Nonlinear Sci. 34(5): 98 (2024) - Panpan Zhang, Ye Tian, Yajie Zhang, Xingyi Zhang:
A problem knowledge driven bi-population cooperative framework for time-varying ratio error estimation of voltage transformers. Swarm Evol. Comput. 89: 101628 (2024) - Xingyu Yan, Lixin Jia, Hui Cao, Yajie Yu, Tao Wang, Feng Zhang, Qingshu Guan:
Multitargets Joint Training Lightweight Model for Object Detection of Substation. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2413-2424 (2024) - Yajie Zhang, Hao Jiang, Ye Tian, Haiping Ma, Xingyi Zhang:
Multigranularity Surrogate Modeling for Evolutionary Multiobjective Optimization With Expensive Constraints. IEEE Trans. Neural Networks Learn. Syst. 35(3): 2956-2968 (2024) - Ye Tian, Lianjie Yao, Shuai Shao, Yajie Zhang, Xingyi Zhang:
Deep Reinforcement Learning Based Adaptive Environmental Selection for Evolutionary Multi-Objective Optimization. CEC 2024: 1-8 - Zhaolin Hong, Haitao Wang, Chengjie Qian, Wei Chen, Tianqi He, Yajie Zou, Qiang Liu, Xingxing Wang:
PRINT: Personalized Relevance Incentive Network for CTR Prediction in Sponsored Search. WWW (Companion Volume) 2024: 190-195 - Jingfeng Yao, Xinggang Wang, Yuehao Song, Huangxuan Zhao, Jun Ma, Yajie Chen, Wenyu Liu, Bo Wang:
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning. CoRR abs/2405.05237 (2024) - 2023
- Yucheng Long, Zuobin Ying, Hongyang Yan, Ranqing Fang, Xingyu Li, Yajie Wang, Zijie Pan:
Membership reconstruction attack in deep neural networks. Inf. Sci. 634: 27-41 (2023) - Yajie Zhang, Ye Tian, Hao Jiang, Xingyi Zhang, Yaochu Jin:
Design and analysis of helper-problem-assisted evolutionary algorithm for constrained multiobjective optimization. Inf. Sci. 648: 119547 (2023) - Hongfan Gu, Gaofei Yin, Yajie Yang, Aleixandre Verger, Adrià Descals, Iolanda Filella, Yelu Zeng, Dalei Hao, Qiaoyun Xie, Xing Li, Jingfeng Xiao, Josep Peñuelas:
Satellite-Detected Contrasting Responses of Canopy Structure and Leaf Physiology to Drought. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2427-2436 (2023) - Xingya Yan, Yajie Zhou:
Dementia Prediction Based on Random Forest Feature Selection and Gradient Boosting Decision Tree. AIPR 2023: 34-39 - Chengmin Wu, Ye Tian, Yajie Zhang, Hao Jiang, Xing-yi Zhang:
A Sparsity-Guided Elitism Co-Evolutionary Framework for Sparse Large-Scale Multi-Objective Optimization. CEC 2023: 1-8 - Zhenxing Li, Qiang Cao, Yajie Chen, Wenrui Yan:
CoTrain: Efficient Scheduling for Large-Model Training upon GPU and CPU in Parallel. ICPP 2023: 92-101 - Xiaokang Chen, Yajie Xing, Gang Zeng:
Real-time 3D Semantic Scene Completion Via Feature Aggregation and Conditioned Prediction. CoRR abs/2303.10967 (2023) - 2022
- Ye Tian, Yajie Zhang, Yansen Su, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
Balancing Objective Optimization and Constraint Satisfaction in Constrained Evolutionary Multiobjective Optimization. IEEE Trans. Cybern. 52(9): 9559-9572 (2022) - Xinguang Xiang, Yajie Zhang, Lu Jin, Zechao Li, Jinhui Tang:
Sub-Region Localized Hashing for Fine-Grained Image Retrieval. IEEE Trans. Image Process. 31: 314-326 (2022) - Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju:
Isometric Energies for Recovering Injectivity in Constrained Mapping. SIGGRAPH Asia 2022: 36:1-36:9 - 2021
- Ya-Jie Liu, Xiang-Ke Chang, Yi He, Xing-Biao Hu:
Generalizations of Shanks transformation and corresponding convergence acceleration algorithms via pfaffians. Numer. Algorithms 88(4): 1733-1756 (2021) - Hong-Jie Xing, Ya-Jie Liu, Zi-Chuan He:
Robust sparse coding for one-class classification based on correntropy and logarithmic penalty function. Pattern Recognit. 111: 107685 (2021) - Xingyi Du, Danny M. Kaufman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Noam Aigerman, Tao Ju:
Optimizing global injectivity for constrained parameterization. ACM Trans. Graph. 40(6): 260:1-260:18 (2021) - Yajie Zhang, Ye Tian, Xingyi Zhang:
A Comparison Study of Evolutionary Algorithms on Large-Scale Sparse Multi-objective Optimization Problems. EMO 2021: 424-437 - Yajie Zhang, Yuxuan Dai, Wei Tang, Lu Jin, Xinguang Xiang:
Self-Adaptive Hashing for Fine-Grained Image Retrieval. MMAsia 2021: 11:1-11:7 - 2020
- Lingsheng Yang, Ziling Xing, Shihao Xu, Dan Zhang, Yajie Li:
Design of a 3D Top-Loaded Low-Profile Sleeve Antenna for UAV Applications. IEEE Access 8: 64718-64724 (2020) - Yajie Yu, Hui Cao, Xingyu Yan, Tao Wang, Shuzhi Sam Ge:
Defect identification of wind turbine blades based on defect semantic features with transfer feature extractor. Neurocomputing 376: 1-9 (2020) - Zhuotong Li, Yongli Zhao, Yajie Li, Mingzhe Liu, Zebin Zeng, Xiangjun Xin, Feng Wang, Xinghua Li, Jie Zhang:
Self-Optimizing Optical Network With Cloud-Edge Collaboration: Architecture and Application. IEEE Open J. Comput. Soc. 1: 220-229 (2020) - Xingyi Du, Noam Aigerman, Qingnan Zhou, Shahar Z. Kovalsky, Yajie Yan, Danny M. Kaufman, Tao Ju:
Lifting simplices to find injectivity. ACM Trans. Graph. 39(4): 120 (2020) - Ruilong Li, Karl Bladin, Yajie Zhao, Chinmay Chinara, Owen Ingraham, Pengda Xiang, Xinglei Ren, Pratusha Prasad, Bipin Kishore, Jun Xing, Hao Li:
Learning Formation of Physically-Based Face Attributes. CVPR 2020: 3407-3416
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