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Weichen Zhao
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2020 – today
- 2024
- [j5]Chen Li, Ge Jiao, Yun Wu, Weichen Zhao:
Camouflaged Instance Segmentation From Global Capture to Local Refinement. IEEE Signal Process. Lett. 31: 661-665 (2024) - [c8]Weichen Zhao, Yuxing Lu, Ge Jiao, Yuan Yang:
Dual-Color Granularity Alignment for Text-Based Person Search. ICASSP 2024: 8075-8079 - [c7]Weichen Zhao, Yuxing Lu, Ge Jiao, Yuan Yang:
Concentrated Reasoning and Unified Reconstruction for Multi-Modal Media Manipulation. ICASSP 2024: 8190-8194 - [c6]Yuxing Lu, Weichen Zhao, Nan Sun, Jinzhuo Wang:
Enhancing Multimodal Knowledge Graph Representation Learning through Triple Contrastive Learning. IJCAI 2024: 5963-5971 - [c5]Hanlin Xu, Weichen Zhao, Guangli Liu:
Research on Turtle Target Detection System Based on YOLO Algorithm. IoTAAI 2024: 376-380 - [c4]Xiangyu Wen, Shuai Li, Linli Zhang, Min Hang, Yang Liu, Hejin Liu, Guoqiang Su, Weichen Zhao, Shouyuan Wu:
Research on a comprehensive detection method for arc high resistance grounding faults in distribution networks. PEAI 2024: 104-108 - [i5]Weichen Zhao, Chenguang Wang, Xinyan Wang, Congying Han, Tiande Guo, Tianshu Yu:
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory. CoRR abs/2402.15326 (2024) - [i4]Kaiyuan Cui, Xinyan Wang, Zicheng Zhang, Weichen Zhao:
Graph Neural Aggregation-diffusion with Metastability. CoRR abs/2403.20221 (2024) - [i3]Zhiheng Zhou, Sihao Liu, Weichen Zhao:
FlexiDrop: Theoretical Insights and Practical Advances in Random Dropout Method on GNNs. CoRR abs/2405.20012 (2024) - 2023
- [j4]Yuan Yang, Ge Jiao, Jiahao Liu, Weichen Zhao, Jinhua Zheng:
A lightweight rice disease identification network based on attention mechanism and dynamic convolution. Ecol. Informatics 78: 102320 (2023) - [j3]Weichen Zhao, Tiande Guo, Xiaoxi Yu, Congying Han:
A learnable sampling method for scalable graph neural networks. Neural Networks 162: 412-424 (2023) - [j2]Shuping Li, Can Cui, Jing Meng, Yuan Li, Yuli Shan, Weichen Zhao, Priti Parikh, Jiawei Yao, Dabo Guan:
The heterogeneous driving forces behind carbon emissions change in 30 selective emerging economies. Patterns 4(7): 100760 (2023) - [c3]Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo:
Exploring Over-smoothing in Graph Attention Networks from the Markov Chain Perspective. FAIML 2023: 282-288 - [c2]Weichen Tao, Weichen Zhao, Robert Bogdan Staszewski, Fujiang Lin, Yizhe Hu:
An 18.8-to-23.3 GHz ADPLL Based on Charge-Steering-Sampling Technique Achieving 75.9 fs RMS Jitter and -252 dB FoM. VLSI Technology and Circuits 2023: 1-2 - [i2]Qianhan Zeng, Yingqiu Zhu, Xuening Zhu, Feifei Wang, Weichen Zhao, Shuning Sun, Meng Su, Hansheng Wang:
Improved Naive Bayes with Mislabeled Data. CoRR abs/2304.06292 (2023) - 2022
- [i1]Weichen Zhao, Chenguang Wang, Congying Han, Tiande Guo:
Analysis of Graph Neural Networks with Theory of Markov Chains. CoRR abs/2211.06605 (2022)
2010 – 2019
- 2019
- [j1]Nannan Shen, Haijun Xu, Weichen Zhao, Yongmei Zhao, Xin Zhang:
Highly Responsive and Ultrasensitive Non-Enzymatic Electrochemical Glucose Sensor Based on Au Foam. Sensors 19(5): 1203 (2019) - 2013
- [c1]Jian Wang, Weichen Zhao, Shouren Yang, Jiang Liu, Tao Huang, Yunjie Liu:
FSDM: Floodless service discovery model based on Software-Defined Network. ICC Workshops 2013: 230-234
Coauthor Index
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