Ronghang Zhu

30 papers A* 9A 3Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
ICML
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 J jnl
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
CoRR
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 — conf
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
EMNLP (Findings)
Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li
2025 A* conf
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.
CVPR
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li
2024 J jnl
A Survey of Trustworthy Representation Learning Across Domains.
ACM Trans. Knowl. Discov. Data
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2024 J jnl
Graph Neural Networks for lightweight plant organ tracking.
Comput. Electron. Agric.
Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li
2024 J jnl
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
CoRR
Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
2024 A* conf
Open-Set Graph Domain Adaptation via Separate Domain Alignment.
AAAI
Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2024 J jnl
Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment.
IEEE Trans. Circuits Syst. Video Technol.
Weili Shi, Ronghang Zhu, Sheng Li
2023 J jnl
Co-Embedding of Nodes and Edges With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2023 J jnl
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2023 A* conf
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer.
ICLR
Ronghang Zhu, Xiang Yu, Sheng Li
2023 J jnl
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation.
Trans. Mach. Learn. Res.
Ronghang Zhu, Xiang Yu, Sheng Li
2023 J jnl
Trustworthy Representation Learning Across Domains.
CoRR
Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li
2023 A conf
XDC: Adaptive Cross Domain Short Text Clustering.
SDM
Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li
2022 A* conf
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization.
ICLR
Ronghang Zhu, Sheng Li
2022 A* conf
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation.
KDD
Weili Shi, Ronghang Zhu, Sheng Li
2022 A conf
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation.
SDM
Ronghang Zhu, Sheng Li
2021 A* conf
Automated Graph Learning via Population Based Self-Tuning GCN.
SIGIR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 J jnl
Automated Graph Learning via Population Based Self-Tuning GCN.
CoRR
Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li
2021 A* conf
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation.
ICDM
Ronghang Zhu, Sheng Li
2021 A conf
Transferable Feature Learning on Graphs Across Visual Domains.
ICME
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2020 J jnl
Co-embedding of Nodes and Edges with Graph Neural Networks.
CoRR
Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li
2018 A* conf
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition.
CVPR
Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu
2018 J jnl
Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognition.
CoRR
Feng Liu, Ronghang Zhu, Dan Zeng, Qijun Zhao, Xiaoming Liu
2016 — conf
Discriminative Feature Adaptation for cross-domain facial expression recognition.
ICB
Ronghang Zhu, Gaoli Sang, Qijun Zhao
2016 — conf
Glasses Detection Using Convolutional Neural Networks.
CCBR
Li Shao, Ronghang Zhu, Qijun Zhao
2015 — conf
A transfer learning approach to cross-database facial expression recognition.
ICB
Ronghang Zhu, Tingting Zhang, Qijun Zhao, Zhihong Wu
2014 — conf
A Novel Iterative Approach to Pupil Localization.
CCBR
Ronghang Zhu, Gaoli Sang, Wei Gao, Qijun Zhao
2013 — conf
Head Pose Estimation with Improved Random Regression Forests.
CCBR
Ronghang Zhu, Gaoli Sang, Ying Cai, Jian You, Qijun Zhao