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ORCIDYongxiang Huang
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2020 – today
- 2024
[j2]Fengling Yu
, Zhaoquan Huang, Lifan Zhou, Hankui K. Zhang, Yongxiang Huang:
Multi-temporal InSAR evidence of non-tidal ocean loading effects from Chaoshan coastal plain, China. Int. J. Appl. Earth Obs. Geoinformation 132: 104031 (2024)- 2023
- [c13]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. AAAI 2023: 8640-8647 - [c12]Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen:
Model Debiasing via Gradient-based Explanation on Representation. AIES 2023: 193-204 - [i7]Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang:
Contrastive Domain Generalization via Logit Attribution Matching. CoRR abs/2305.07888 (2023) - [i6]Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen:
Model Debiasing via Gradient-based Explanation on Representation. CoRR abs/2305.12178 (2023) - [i5]Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang:
A Causal Framework to Unify Common Domain Generalization Approaches. CoRR abs/2307.06825 (2023) - [i4]Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao:
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. CoRR abs/2312.15237 (2023) - 2022
- [j1]Yongxiang Huang, Albert C. S. Chung:
Disease prediction with edge-variational graph convolutional networks. Medical Image Anal. 77: 102375 (2022) - [c11]Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao:
HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. HCOMP 2022: 231-242 - 2020
- [c10]Yongxiang Huang, Albert C. S. Chung:
Semi-Supervised Multimodality Learning With Graph Convolutional Neural Networks For Disease Diagnosis. ICIP 2020: 2451-2455 - [c9]Yongxiang Huang, Albert C. S. Chung:
Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction. MICCAI (7) 2020: 562-572 - [i3]Yongxiang Huang, Albert C. S. Chung:
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction. CoRR abs/2009.02759 (2020)
2010 – 2019
- 2019
- [c8]Yongxiang Huang, Albert C. S. Chung:
Evidence Localization for Pathology Images Using Weakly Supervised Learning. MICCAI (1) 2019: 613-621 - [i2]Yongxiang Huang, Albert Chi-shing Chung:
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning. CoRR abs/1909.07097 (2019) - 2018
- [c7]Yongxiang Huang, Albert Chi-shing Chung:
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. COMPAY/OMIA@MICCAI 2018: 19-26 - [i1]Yongxiang Huang, Albert Chi-shing Chung:
Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. CoRR abs/1807.10552 (2018) - 2010
- [c6]Kaixuan Tan, Jiang Liu, Huiqiong Qu, Chunguang Li, Yongxiang Huang:
Simulating and predicting drainage quality of mine tailings impoundments. ICNC 2010: 4272-4277
2000 – 2009
- 2009
- [c5]Yongxiang Huang, Depei Qian, Weiguo Wu, Haixiang Zhao:
Employing Data Driven Random Membership Subset Algorithm for QoS-Aware Peer-to-Peer Streaming. FMN 2009: 83-94 - 2008
- [c4]Tao Liu, Depei Qian, Yongxiang Huang, Ying He, Rui Wang:
An evolutionary node architecture and performance optimization. AICCSA 2008: 241-246 - [c3]Tao Liu, Depei Qian, Yongxiang Huang, Rui Wang:
An Architecture for Distributed Controllable Networks and Manageable Node Based on Network Processor. APWeb 2008: 450-455 - [c2]Yongxiang Huang, Depei Qian, Weiguo Wu, Tao Liu:
Whirlpool: Structuring Mesh-Based Protocol for QoS-Aware Peer-to-Peer Streaming. GCC 2008: 412-420 - 2003
- [c1]Zonghao Hou, Yongxiang Huang, Shouqi Zheng, Xiaoshe Dong, Bingkang Wang:
Design and Implementation of Heartbeat in Multi-Machine Environment. AINA 2003: 583-586
Coauthor Index
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