Hong Yu - RankMe

65 papers A* 13A 4B 3C 8Misc 2Journal 17Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	RUQuant: Towards Refining Uniform Quantization for Large Language Models. KDD (1) Han Liu, Haotian Gao, Changya Li, Feng Zhang, Xiaotong Zhang, Wei Wang, Hong Yu
2026	A*	`conf`	SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack. WWW Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2025	—	`conf`	AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. ACL (1) Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu
2025	J	`jnl`	Injecting object pose relationships into image captioning via attention capsule networks. Appl. Soft Comput. Hong Yu, Yuanqiu Liu, Hui Li, Xin Han, Han Liu
2025	A*	`conf`	Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. AAAI Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	Misc	`conf`	Non-Autoregressive Image Captioning with Multi-Label Classification and Self-Critical Sequence Training. ICASSP Yuanqiu Liu, Hong Yu, Hui Li, Xiaotong Zhang, Xin Han, Han Liu
2025	—	`conf`	Pairwise Prompt-Based Tuning with Parameter Efficient Fast Adaptation for Generalized Zero-Shot Intent Detection. NAACL (Findings) Xiaotong Zhang, Qianru Zhou, Han Liu, Hong Yu
2025	—	`conf`	SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification. NAACL (Findings) Han Liu, Shuqin Li, Xiaotong Zhang, Yuanyuan Wang, Feng Zhang, Hongyang Chen, Hong Yu
2025	—	`conf`	SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. KDD (1) Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	J	`jnl`	Transformer-Based Nonautoregressive Image Captioning via Guided Keyword Generation and Learnable Positional Encoding for IoT Devices. IEEE Internet Things J. Yuanqiu Liu, Hong Yu, Hui Li, Xin Han, Xiaotong Zhang, Han Liu
2024	—	`conf`	Alignment-Enhanced Network for Temporal Language Grounding in Videos. ICANN (3) Hong Yu, Yu Zhang, Yuanqiu Liu, Hui Li, Han Liu
2024	A	`conf`	Boosting Node Injection Attack with Graph Local Sparsity. ICME Wenxin Liang, Bingkai Liu, Han Liu, Hong Yu
2024	J	`jnl`	Correlation-Guided Semantic Consistency Network for Visible-Infrared Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. Haojie Li, Mingxuan Li, Qijie Peng, Shijie Wang, Hong Yu, Zhihui Wang
2024	A*	`conf`	Depression Detection via Capsule Networks with Contrastive Learning. AAAI Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	—	`conf`	Dual Branch Non-Autoregressive Image Captioning. ICPR (18) Yuanqiu Liu, Hong Yu, Hui Li, Xin Han, Han Liu
2024	J	`jnl`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	A*	`conf`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	J	`jnl`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Boosting Few-Shot Text Classification via Distribution Estimation. AAAI Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Few-Shot Text Classification via Distribution Estimation. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A	`conf`	Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
2023	A	`conf`	Boosting Visual Question Answering Through Geometric Perception and Region Features. ECAI Hong Yu, Zhiyue Wang, Yuanqiu Liu, Han Liu
2023	Misc	`conf`	End-to-End Non-Autoregressive Image Captioning. ICASSP Hong Yu, Yuanqiu Liu, Baokun Qi, Zhaolong Hu, Han Liu
2023	A*	`conf`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2022	A*	`conf`	A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. SIGIR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022	J	`jnl`	A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. CoRR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022	A*	`conf`	Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. KDD Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2022	J	`jnl`	Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2021	B	`conf`	A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. IJCNN Qixuan Sun, Yaqi Yin, Hong Yu
2021	J	`jnl`	A Dual-Questioning Attention Network for Emotion-Cause Pair Extraction with Context Awareness. CoRR Qixuan Sun, Yaqi Yin, Hong Yu
2021	J	`jnl`	Incomplete multi-view clustering with partially mapped instances and clusters. Knowl. Based Syst. Linlin Zong, Faqiang Miao, Xianchao Zhang, Xinyue Liu, Hong Yu
2021	A	`conf`	Self-Guided Deep Multi-View Subspace Clustering Network. ICME Beilei Cui, Hong Yu, Linlin Zong, Ziyang Cheng
2020	J	`jnl`	Incomplete multi-view spectral clustering. J. Intell. Fuzzy Syst. Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
2020	J	`jnl`	Multi-view clustering on data with partial instances and clusters. Neural Networks Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
2020	J	`jnl`	Multi-view clustering via clusterwise weights learning. Knowl. Based Syst. Qianli Zhao, Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
2019	—	`conf`	One Shot Learning with Margin. PAKDD (2) Xianchao Zhang, Jinlong Nie, Linlin Zong, Hong Yu, Wenxin Liang
2019	C	`conf`	Self-Weighted Multi-View Clustering with Deep Matrix Factorization. ACML Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li
2018	C	`conf`	Co-regularized Multi-view Subspace Clustering. ACML Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai
2018	—	`conf`	Web Items Recommendation Based on Multi-View Clustering. COMPSAC (1) Hong Yu, Tiantian Zhang, Jiaxin Chen, Chen Guo, Yahong Lian
2018	A*	`conf`	Weighted Multi-View Spectral Clustering Based on Spectral Perturbation. AAAI Linlin Zong, Xianchao Zhang, Xinyue Liu, Hong Yu
2017	—	`conf`	Attribute-Based Partner Updating Boosts Cooperation in Social P2P Systems. DASC/PiCom/DataCom/CyberSciTech Linlin Tian, Mingchu Li, Hong Yu, Xing Jin
2017	—	`conf`	Mixture Self-Paced Learning for Multi-view K-Means Clustering. DASC/PiCom/DataCom/CyberSciTech Hong Yu, Yahong Lian, Xiujuan Xu, Xiaowei Zhao
2017	J	`jnl`	Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks Linlin Zong, Xianchao Zhang, Long Zhao, Hong Yu, Qianli Zhao
2017	B	`conf`	Self-Paced Learning Based Multi-view Spectral Clustering. ICTAI Hong Yu, Yahong Lian, Linlin Zong, Linlin Tian
2017	—	`conf`	View-Weighted Multi-view K-means Clustering. ICANN (2) Hong Yu, Yahong Lian, Shu Li, Jiaxin Chen
2016	—	`conf`	Constraint Based Subspace Clustering for High Dimensional Uncertain Data. PAKDD (2) Xianchao Zhang, Lu Gao, Hong Yu
2016	J	`jnl`	Local linear neighbor reconstruction for multi-view data. Pattern Recognit. Lett. Linlin Zong, Xianchao Zhang, Hong Yu, Qianli Zhao, Feng Ding
2016	C	`conf`	Recommending Features of Mobile Applications for Developer. ADMA Hong Yu, Yahong Lian, Shuotao Yang, Linlin Tian, Xiaowei Zhao
2015	A*	`conf`	Constrained NMF-Based Multi-View Clustering on Unmapped Data. AAAI Xianchao Zhang, Linlin Zong, Xinyue Liu, Hong Yu
2015	—	`conf`	Evolution of Mixed Strategies on Cooperative Networks. CIC Xiaowei Zhao, Zhenzhen Xu, Hong Yu, Linlin Tian, Xiujuan Xu
2015	C	`conf`	Mobile Application Recommendations Based on Complex Information. IEA/AIE Shuotao Yang, Hong Yu, Weiwei Deng, Xiaochen Lai
2014	—	`conf`	Minimum Similarity Sampling Scheme for Nyström Based Spectral Clustering on Large Scale High-Dimensional Data. IEA/AIE (2) Zhicheng Zeng, Ming Zhu, Hong Yu, Honglian Ma
2014	A*	`conf`	Multi-view Clustering via Multi-manifold Regularized Nonnegative Matrix Factorization. ICDM Xianchao Zhang, Long Zhao, Linlin Zong, Xinyue Liu, Hong Yu
2014	C	`conf`	The Role of Probability of Learning and Reconnecting in the Evolution of Cooperation. DASC Xiaowei Zhao, Hong Yu, Zhenzhen Xu, Tinlin Tian, Xiujuan Xu
2014	C	`conf`	iDBMM: A Novel Algorithm to Model Dynamic Behavior in Large Evolving Graphs. DASC Xiujuan Xu, Wei Wang, Yu Liu, Hong Yu, Xiaowei Zhao
2012	C	`conf`	Agents' Cooperation Based on Long-Term Reciprocal Altruism. IEA/AIE Xiaowei Zhao, Haoxiang Xia, Hong Yu, Linlin Tian
2012	C	`conf`	An Extended ISOMAP by Enhancing Similarity for Clustering. IEA/AIE Hong Yu, Xianchao Zhang, Yuansheng Yang, Xiaowei Zhao, Lei Cai
2011	J	`jnl`	Local density adaptive similarity measurement for spectral clustering. Pattern Recognit. Lett. Xianchao Zhang, Jingwei Li, Hong Yu
2008	—	`conf`	A Ranking Algorithm via Changing Markov Probability Matrix Based on Distribution Factor. FSKD (5) Xianchao Zhang, Xinxin Fan, Xinyue Liu, Hong Yu
2008	—	`conf`	An Improved Random Walk Algorithm Based on Correlation Coefficient to Find Scientific Communities. CSSE (1) Hong Yu, Xiaoliang Yang, Xianchao Zhang, Yuansheng Yang
2007	B	`conf`	A Clustering Algorithm Based on Mechanics. PAKDD Xianchao Zhang, He Jiang, Xinyue Liu, Hong Yu
2007	—	`conf`	An Improved Weighted HITS Algorithm Based on Similarity and Popularity. IMSCCS Xianchao Zhang, Hong Yu, Cong Zhang, Xinyue Liu