Yu, Hong

21 publications

NeurIPS 2025 HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models Han Liu, Jiaqi Li, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Fenglong Ma, Yuanman Li, Hong Yu

AAAI 2025 Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu

NeurIPS 2025 RADAR: Benchmarking Language Models on Imperfect Tabular Data Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu

AAAI 2024 Depression Detection via Capsule Networks with Contrastive Learning Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2024 Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

IJCAI 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2023 Boosting Few-Shot Text Classification via Distribution Estimation Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

NeurIPS 2023 HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

AAAI 2023 Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu

NeurIPSW 2023 SELF-EXPLAIN: Teaching Large Language Models to Reason Complex Questions by Themselves Jiachen Zhao, Zonghai Yao, Zhichao Yang, Hong Yu

AAAI 2023 SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

NeurIPSW 2023 Synthetic Imitation Edit Feedback for Factual Alignment in Clinical Summarization Prakamya Mishra, Zonghai Yao, Shuwei Chen, Beining Wang, Rohan Mittal, Hong Yu

AAAI 2020 ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network Fei Li, Hong Yu

AAAI 2020 MetaMT, a Meta Learning Method Leveraging Multiple Domain Data for Low Resource Machine Translation Rumeng Li, Xun Wang, Hong Yu

MLHC 2019 Clinical Judgement Study Using Question Answering from Electronic Health Records Bhanu Pratap Singh Rawat, Fe Li, Hong Yu

ACML 2019 Self-Weighted Multi-View Clustering with Deep Matrix Factorization Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li

ACML 2018 Co-Regularized Multi-View Subspace Clustering Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai

AAAI 2018 Weighted Multi-View Spectral Clustering Based on Spectral Perturbation Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu

ICML 2017 Meta Networks Tsendsuren Munkhdalai, Hong Yu

ICLR 2017 Reasoning with Memory Augmented Neural Networks for Language Comprehension Tsendsuren Munkhdalai, Hong Yu

AAAI 2015 Constrained NMF-Based Multi-View Clustering on Unmapped Data Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu