Design and Implementation of Heartbeat in Multi-Machine Environment. - Zonghao Hou; Yongxiang Huang; Shouqi Zheng; Xiaoshe Dong; Bingkang Wang (AINA, 2003)

An evolutionary node architecture and performance optimization. - Tao Liu 033; Depei Qian; Yongxiang Huang; Ying He 002; Rui Wang 014 (AICCSA, 2008)

An Architecture for Distributed Controllable Networks and Manageable Node Based on Network Processor. - Tao Liu 033; Depei Qian; Yongxiang Huang; Rui Wang 014 (APWeb, 2008)

Whirlpool: Structuring Mesh-Based Protocol for QoS-Aware Peer-to-Peer Streaming. - Yongxiang Huang; Depei Qian; Weiguo Wu; Tao Liu 033 (GCC, 2008)

Employing Data Driven Random Membership Subset Algorithm for QoS-Aware Peer-to-Peer Streaming. - Yongxiang Huang; Depei Qian; Weiguo Wu; Haixiang Zhao (FMN, 2009)

Simulating and predicting drainage quality of mine tailings impoundments. - Kaixuan Tan; Jiang Liu; Huiqiong Qu; Chunguang Li; Yongxiang Huang (ICNC, 2010)

Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. - Yongxiang Huang; Albert Chi-shing Chung (COMPAY/OMIA@MICCAI, 2018)

Evidence Localization for Pathology Images Using Weakly Supervised Learning. - Yongxiang Huang; Albert C. S. Chung (MICCAI (1), 2019)

CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning. - Yongxiang Huang; Albert Chi-shing Chung (CoRR, 2019)

Semi-Supervised Multimodality Learning With Graph Convolutional Neural Networks For Disease Diagnosis. - Yongxiang Huang; Albert C. S. Chung (ICIP, 2020)

Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction. - Yongxiang Huang; Albert C. S. Chung (MICCAI (7), 2020)

HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. - Yi Yang 090; Yueyuan Zheng; Didan Deng; Jindi Zhang; Yongxiang Huang; Yumeng Yang; Janet H. Hsiao; Caleb Chen Cao (HCOMP, 2022)

Disease prediction with edge-variational graph convolutional networks. - Yongxiang Huang; Albert C. S. Chung (Medical Image Anal., 2022)

Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. - Tong Li 017; Jiale Deng; Yanyan Shen; Luyu Qiu; Yongxiang Huang; Caleb Chen Cao (AAAI, 2023)

Model Debiasing via Gradient-based Explanation on Representation. - Jindi Zhang; Luning Wang; Dan Su 003; Yongxiang Huang; Caleb Chen Cao; Lei Chen 002 (AIES, 2023)

Contrastive Domain Generalization via Logit Attribution Matching. - Han Gao; Kaican Li; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (CoRR, 2023)

A Causal Framework to Unify Common Domain Generalization Approaches. - Nevin L. Zhang; Kaican Li; Han Gao; Weiyan Xie; Zhi Lin; Zhenguo Li; Luning Wang; Yongxiang Huang (CoRR, 2023)

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. - Kaican Li; Weiyan Xie; Yongxiang Huang; Didan Deng; Lanqing Hong; Zhenguo Li; Ricardo Silva 001; Nevin L. Zhang (NeurIPS, 2024)

Consistency Regularization for Domain Generalization with Logit Attribution Matching. - Han Gao; Kaican Li; Weiyan Xie; Zhi Lin; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (UAI, 2024)

Multi-temporal InSAR evidence of non-tidal ocean loading effects from Chaoshan coastal plain, China. - Fengling Yu; Zhaoquan Huang; Lifan Zhou; Hankui K. Zhang; Yongxiang Huang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing. - Weiyan Xie; Han Gao; Didan Deng; Kaican Li; April Hua Liu; Yongxiang Huang; Nevin L. Zhang (CoRR, 2025)