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Xinghao Wang
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2020 – today
- 2024
- [j13]Xinghao Wang, Qiang Xing, Huimin Xiao, Ming Ye:
Contrastive learning enhanced by graph neural networks for Universal Multivariate Time Series Representation. Inf. Syst. 125: 102429 (2024) - [j12]Jie Zhang, Xinghao Wang, Jinyou Hou, Yan Guo, Qinggang Xie:
A Novel Memristor-Based Multi-Vortex Hyper-Chaotic Circuit Design and its Application in Image Encryption. J. Circuits Syst. Comput. 33(6): 2450100:1-2450100:42 (2024) - [j11]Wei Xing, Yukang Cui, Xinghao Wang, Jun Shen:
Optimization of Operational Parameters of Plant Protection UAV. Sensors 24(16): 5132 (2024) - [j10]Xinghao Wang, Liang Zhang, Xiaobing Zhang:
Dynamics of a Stochastic SVEIR Epidemic Model with Nonlinear Incidence Rate. Symmetry 16(4): 467 (2024) - [j9]Liang Zhang, Xinghao Wang, Xiaobing Zhang:
Dynamics of a Stochastic Vector-Borne Model with Plant Virus Disease Resistance and Nonlinear Incidence. Symmetry 16(9): 1122 (2024) - [c11]Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. AAAI 2024: 3018-3027 - [c10]Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu:
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. AAAI 2024: 19180-19188 - [c9]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. ACL (Findings) 2024: 16430-16441 - [c8]Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Mozhi Zhang, Ke Ren, Botian Jiang, Xipeng Qiu:
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance. EMNLP 2024: 10460-10479 - [i6]Pengyu Wang, Dong Zhang, Linyang Li, Chenkun Tan, Xinghao Wang, Ke Ren, Botian Jiang, Xipeng Qiu:
InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance. CoRR abs/2401.11206 (2024) - [i5]Xinghao Wang, Junliang He, Pengyu Wang, Yunhua Zhou, Tianxiang Sun, Xipeng Qiu:
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning. CoRR abs/2401.13621 (2024) - [i4]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. CoRR abs/2407.02043 (2024) - 2023
- [j8]Ye Liu, Kun Huang, Neng Zhao, Jingyuan Li, Shuang Hao, Zili Huang, Xiuyuan Qi, Xinghao Wang, Liang Zhou, Liang Chang, Jun Zhou:
BOHA: A High Performance VSLAM Backend Optimization Hardware Accelerator Using Recursive Fine-Grain H-Matrix Decomposition and Early-Computing With Approximate Linear Solver. IEEE Trans. Circuits Syst. II Express Briefs 70(10): 3827-3831 (2023) - [c7]Shuo Zhang, Xinghao Wang, Chengrui Li, Dianxun Xiao:
Robust State of Charge Estimation for Battery with Self-Adaptive Super Twisting Sliding Mode Observer. IECON 2023: 1-6 - [i3]Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che:
Semantic-Guided Image Augmentation with Pre-trained Models. CoRR abs/2302.02070 (2023) - 2022
- [j7]Yutai Hou, Xinghao Wang, Cheng Chen, Bohan Li, Wanxiang Che, Zhigang Chen:
FewJoint: few-shot learning for joint dialogue understanding. Int. J. Mach. Learn. Cybern. 13(11): 3409-3423 (2022) - [c6]Yutai Hou, Hongyuan Dong, Xinghao Wang, Bohan Li, Wanxiang Che:
MetaPrompting: Learning to Learn Better Prompts. COLING 2022: 3251-3262 - [c5]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. WWW 2022: 860-870 - [i2]Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, Jie Tang:
SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. CoRR abs/2203.01044 (2022) - [i1]Yutai Hou, Hongyuan Dong, Xinghao Wang, Bohan Li, Wanxiang Che:
MetaPrompting: Learning to Learn Better Prompts. CoRR abs/2209.11486 (2022) - 2021
- [j6]Zhihao Xu, Jianbo Li, Zhiqiang Lv, Yue Wang, Liping Fu, Xinghao Wang:
A graph spatial-temporal model for predicting population density of key areas. Comput. Electr. Eng. 93: 107235 (2021) - [j5]Xian Zeng, Xue Yang, Jiajun Fan, Ying Tan, Lingyi Ju, Wanxiang Shen, Yali Wang, Xinghao Wang, Weiping Chen, Dianwen Ju, Yuzong Chen:
MASI: microbiota - active substance interactions database. Nucleic Acids Res. 49(Database-Issue): D776-D782 (2021) - [c4]Xiaosong Han, Xiaoran Li, Yanchun Liang, Xinghao Wang, Dong Xu, Renchu Guan:
Acupuncture and Tuina Knowledge Graph for Ancient Literature of Traditional Chinese Medicine. BIBM 2021: 674-677 - [c3]Wei Xu, Xinghao Wang, Hao Wan, Xin Guo, Junhong Zhao, Feiqi Deng, Wenxiong Kang:
Jointing Multi-task Learning and Gradient Reversal Layer for Far-Field Speaker Verification. CCBR 2021: 449-457 - [c2]Pengxin Yang, Dongliang Cui, Xuewu Dai, Yisheng Lv, Hairong Dong, Xinghao Wang, Ruiguang Liu:
A Parallel Intelligent System for Optimizing High-Speed Railway Rescheduling by Learning. DTPI 2021: 328-331 - [c1]Xinghao Wang, Kangshun Li, Lefeng He, Wangchao Mo, Hongling Zhang, Qiling He, Aoxiang Qi:
The Use of Trusted Log Storage and Verification System Based on Blockchain for Manufacturing Execution System. ISICA 2021: 83-94 - 2020
- [j4]Zijian Zhou, Yan Cao, Tao Li, Xinghao Wang, Jiafa Chen, Hang He, Wen Yao, Jianyu Wu, Huiyong Zhang:
MicroRNAs Are Involved in Maize Immunity Against Fusarium verticillioides Ear Rot. Genom. Proteom. Bioinform. 18(3): 241-255 (2020) - [j3]Haijun Zhang, Xinghao Wang, Linlin Liu, Dongliang Zhou, Zhao Zhang:
WarpClothingOut: A Stepwise Framework for Clothes Translation From the Human Body to Tiled Images. IEEE Multim. 27(4): 58-68 (2020) - [j2]Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu:
Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing 377: 38-48 (2020) - [j1]Haijun Zhang, Yanfang Sun, Linlin Liu, Xinghao Wang, Liuwu Li, Wenyin Liu:
ClothingOut: a category-supervised GAN model for clothing segmentation and retrieval. Neural Comput. Appl. 32(9): 4519-4530 (2020)
Coauthor Index
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last updated on 2024-11-15 19:26 CET by the dblp team
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