Yongxiang Huang

29 papers A* 2A 1B 3C 3Misc 1Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling. CoRR Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo
2026	J	`jnl`	vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models. CoRR Peiqi Yin, Jiangyun Zhu, Han Gao, Chenguang Zheng, Yongxiang Huang, Taichang Zhou, Ruirui Yang, WeiZhi Liu, Weiqing Chen, Canlin Guo, Didan Deng, Zifeng Mo, Cong Wang, James Cheng, Roger Wang, Hongsheng Liu
2025	J	`jnl`	CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing. CoRR Weiyan Xie, Han Gao, Didan Deng, Kaican Li, April Hua Liu, Yongxiang Huang, Nevin L. Zhang
2025	J	`jnl`	Reasoning Scaffolding: Distilling the Flow of Thought from LLMs. CoRR Xiangyu Wen, Junhua Huang, Zeju Li, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu
2024	A	`conf`	Consistency Regularization for Domain Generalization with Logit Attribution Matching. UAI Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2024	A*	`conf`	Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. NeurIPS Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024	J	`jnl`	Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. CoRR Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024	J	`jnl`	Multi-temporal InSAR evidence of non-tidal ocean loading effects from Chaoshan coastal plain, China. Int. J. Appl. Earth Obs. Geoinformation Fengling Yu, Zhaoquan Huang, Lifan Zhou, Hankui K. Zhang, Yongxiang Huang
2023	J	`jnl`	A Causal Framework to Unify Common Domain Generalization Approaches. CoRR Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang
2023	J	`jnl`	Contrastive Domain Generalization via Logit Attribution Matching. CoRR Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2023	C	`conf`	Model Debiasing via Gradient-based Explanation on Representation. AIES Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen
2023	J	`jnl`	Model Debiasing via Gradient-based Explanation on Representation. CoRR Jindi Zhang, Luning Wang, Dan Su, Yongxiang Huang, Caleb Chen Cao, Lei Chen
2023	A*	`conf`	Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. AAAI Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao
2023	J	`jnl`	Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network. CoRR Tong Li, Jiale Deng, Yanyan Shen, Luyu Qiu, Yongxiang Huang, Caleb Chen Cao
2022	J	`jnl`	Disease prediction with edge-variational graph convolutional networks. Medical Image Anal. Yongxiang Huang, Albert C. S. Chung
2022	B	`conf`	HSI: Human Saliency Imitator for Benchmarking Saliency-Based Model Explanations. HCOMP Yi Yang, Yueyuan Zheng, Didan Deng, Jindi Zhang, Yongxiang Huang, Yumeng Yang, Janet H. Hsiao, Caleb Chen Cao
2020	—	`conf`	Edge-Variational Graph Convolutional Networks for Uncertainty-Aware Disease Prediction. MICCAI (7) Yongxiang Huang, Albert C. S. Chung
2020	J	`jnl`	Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction. CoRR Yongxiang Huang, Albert C. S. Chung
2020	B	`conf`	Semi-Supervised Multimodality Learning With Graph Convolutional Neural Networks For Disease Diagnosis. ICIP Yongxiang Huang, Albert C. S. Chung
2019	J	`jnl`	CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning. CoRR Yongxiang Huang, Albert Chi-shing Chung
2019	—	`conf`	Evidence Localization for Pathology Images Using Weakly Supervised Learning. MICCAI (1) Yongxiang Huang, Albert C. S. Chung
2018	—	`conf`	Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. COMPAY/OMIA@MICCAI Yongxiang Huang, Albert Chi-shing Chung
2018	J	`jnl`	Improving High Resolution Histology Image Classification with Deep Spatial Fusion Network. CoRR Yongxiang Huang, Albert Chi-shing Chung
2010	Misc	`conf`	Simulating and predicting drainage quality of mine tailings impoundments. ICNC Kaixuan Tan, Jiang Liu, Huiqiong Qu, Chunguang Li, Yongxiang Huang
2009	—	`conf`	Employing Data Driven Random Membership Subset Algorithm for QoS-Aware Peer-to-Peer Streaming. FMN Yongxiang Huang, Depei Qian, Weiguo Wu, Haixiang Zhao
2008	C	`conf`	An Architecture for Distributed Controllable Networks and Manageable Node Based on Network Processor. APWeb Tao Liu, Depei Qian, Yongxiang Huang, Rui Wang
2008	C	`conf`	An evolutionary node architecture and performance optimization. AICCSA Tao Liu, Depei Qian, Yongxiang Huang, Ying He, Rui Wang
2008	—	`conf`	Whirlpool: Structuring Mesh-Based Protocol for QoS-Aware Peer-to-Peer Streaming. GCC Yongxiang Huang, Depei Qian, Weiguo Wu, Tao Liu
2003	B	`conf`	Design and Implementation of Heartbeat in Multi-Machine Environment. AINA Zonghao Hou, Yongxiang Huang, Shouqi Zheng, Xiaoshe Dong, Bingkang Wang