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Publication search results
found 102 matches
- 2024
- Jibin Yin, Miaomiao Wu, Shujie Bai, Hua Liu, Shoulin Wei:
A scrolling performance model based on two-dimensional touch peephole interactions. Behav. Inf. Technol. 43(9): 1758-1768 (2024) - Rong Wu, Guanrong Chen, Jibin Li:
Bifurcations and Exact Solutions of Optical Soliton Models in Fifth-Order Weakly Nonlocal Nonlinear Media. Int. J. Bifurc. Chaos 34(5): 2450064:1-2450064:17 (2024) - Jing Shang, Zhiwen Xiao, Tao Tao, Jibin Wang, Zhihui Wu:
A heuristic method for discovering multi-class classification rules from multi-source data in cloud-edge system. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101962 (2024) - Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3064-3078 (2024) - Tao Zhang, Renbo Xia, Jibin Zhao, Yanyi Sun, Jiajun Wu, Sheng-Peng Fu, Yueling Chen:
A Spectral-Domain Low-Coherence Method for Measuring Composite Windshield Thickness. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - Jing Shang, Yifei Zhang, Jibin Wang, Zhihui Wu, Zhiwen Xiao:
Distributed cache strategy based on LT codes under spark platform. J. Supercomput. 80(11): 16519-16545 (2024) - Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI 2024: 16838-16847 - Mengna Zhu, Kaisheng Zeng, Jibing Wu, Lihua Liu, Hongbin Huang, Lei Hou, Juanzi Li:
LC4EE: LLMs as Good Corrector for Event Extraction. ACL (Findings) 2024: 12028-12038 - Jibing Wu, Ningchao Ge, Tengyun Wang, Xuan Li, Lihua Liu, Hongbin Huang:
FedPPQs: Optimizing Property Path Queries Evaluation over Federated RDF Systems. APWeb/WAIM (5) 2024: 347-351 - Zeyang Song, Jibin Wu, Malu Zhang, Mike Zheng Shou, Haizhou Li:
Spiking-Leaf: A Learnable Auditory Front-End for Spiking Neural Networks. ICASSP 2024: 226-230 - Chenxiang Ma, Jibin Wu, Chenyang Si, K. C. Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. ICLR 2024 - Xingyu Wu, Sheng-Hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan:
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap. CoRR abs/2401.10034 (2024) - Yujia Yin, Xinyi Chen, Chenxiang Ma, Jibin Wu, Kay Chen Tan:
Efficient Online Learning for Networks of Two-Compartment Spiking Neurons. CoRR abs/2402.15969 (2024) - Chenxiang Ma, Jibin Wu, Chenyang Si, Kay Chen Tan:
Scaling Supervised Local Learning with Augmented Auxiliary Networks. CoRR abs/2402.17318 (2024) - Wenjie Wei, Malu Zhang, Jilin Zhang, Ammar Belatreche, Jibin Wu, Zijing Xu, Xuerui Qiu, Hong Chen, Yang Yang, Haizhou Li:
Event-Driven Learning for Spiking Neural Networks. CoRR abs/2403.00270 (2024) - Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan:
Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models. CoRR abs/2404.06290 (2024) - Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan:
CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models. CoRR abs/2404.06349 (2024) - Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan:
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR abs/2405.11349 (2024) - Yuxiao Huang, Sheng-Hao Wu, Wenjie Zhang, Jibin Wu, Liang Feng, Kay Chen Tan:
Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators. CoRR abs/2406.08987 (2024) - Shuai Wang, Dehao Zhang, Kexin Shi, Yuchen Wang, Wenjie Wei, Jibin Wu, Malu Zhang:
Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting. CoRR abs/2406.13179 (2024) - 2023
- Zhen Li, Tao Tao, Meng Yang, Jibin Wang, Zhuo Chen, Jianguo Wu:
An unsupervised neural network for graphical health index construction and residual life prediction. Eng. Appl. Artif. Intell. 125: 106687 (2023) - Xiren Zhou, Ao Chen, Muhammad Usman, Qiuju Chen, Fang Xiong, Jibing Wu, Huanhuan Chen:
Underground Pipeline Mapping From Multipositional Data: Data Acquisition Platform and Pipeline Mapping Model. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - Tao Zhang, Renbo Xia, Jibin Zhao, Jiajun Wu, Sheng-Peng Fu, Yueling Chen, Yanyi Sun:
Low-Coherence Measurement Methods for Industrial Parts With Large Surface Reflectance Variations. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - Jibin Wu, Yansong Chua, Malu Zhang, Guoqi Li, Haizhou Li, Kay Chen Tan:
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(1): 446-460 (2023) - Changsen Liu, Jiuyang Tang, Weixin Zeng, Jibing Wu, Hongbin Huang:
Knowledge Graph Completion with Fused Factual and Commonsense Information. WISA 2023: 137-148 - Ningchao Ge, Peng Peng, Jibing Wu, Lihua Liu, Haiwen Chen, Tengyun Wang:
Answering Property Path Queries over Federated RDF Systems. APWeb/WAIM (3) 2023: 16-31 - Xi Wu, Liangwei Yang, Jibing Gong, Chao Zhou, Tianyu Lin, Xiaolong Liu, Philip S. Yu:
Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. CIKM 2023: 2785-2794 - Tao Tao, Zhiwen Xiao, Jibin Wang, Jing Shang, Zhihui Wu:
THRCache: DRAM-NVM Multi-level Cache with Thresholded Heterogeneous Random Choices. ICA3PP (4) 2023: 436-455 - Lihua Liu, Jibing Wu, Xuan Li, Hongbin Huang:
Dynamic Ensemble Selection with Reinforcement Learning. ICIC (5) 2023: 629-640 - Kaiming Xiao, Haiwen Chen, Hongbin Huang, Lihua Liu, Jibing Wu:
A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas. IJCAI 2023: 6272-6280
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