Hongxin Xiang - RankMe

32 papers A* 7A 1B 1C 1Misc 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ImageDDI: Image-enhanced molecular motif sequence representation for drug-drug interaction prediction. Inf. Fusion Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng
2026	J	`jnl`	Refold: Refining Protein Inverse Folding with Efficient Structural Matching and Fusion. CoRR Yiran Zhu, Changxi Chi, Hongxin Xiang, Wenjie Du, Xiaoqi Wang, Jun Xia
2026	J	`jnl`	Rethinking Genomic Modeling Through Optical Character Recognition. CoRR Hongxin Xiang, Pengsen Ma, Yunkang Cao, Di Yu, Haowen Chen, Xinyu Yang, Xiangxiang Zeng
2025	J	`jnl`	An image-based protein-ligand binding representation learning framework via multi-level flexible dynamics trajectory pre-training. Bioinform. Hongxin Xiang, Mingquan Liu, Linlin Hou, Shuting Jin, Jianmin Wang, Jun Xia, Wenjie Du, Sisi Yuan, Xiangzheng Fu, Xinyu Yang, Li Zeng, Lei Xu
2025	A*	`conf`	Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo. ICLR Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li
2025	A*	`conf`	DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models. IJCAI Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang
2025	J	`jnl`	EDBench: Large-Scale Electron Density Data for Molecular Modeling. CoRR Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng
2025	A*	`conf`	Electron Density-enhanced Molecular Geometry Learning. IJCAI Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng
2025	A*	`conf`	Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. IJCAI Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng
2025	J	`jnl`	Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. CoRR Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng
2025	J	`jnl`	ImageDDI: Image-enhanced Molecular Motif Sequence Representation for Drug-Drug Interaction Prediction. CoRR Yuqin He, Tengfei Ma, Chaoyi Li, Pengsen Ma, Hongxin Xiang, Jianmin Wang, Yiping Liu, Bosheng Song, Xiangxiang Zeng
2025	A*	`conf`	Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck. ICLR Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang
2025	J	`jnl`	ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models. CoRR Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang
2024	A*	`conf`	An Image-enhanced Molecular Graph Representation Learning Framework. IJCAI Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng
2024	J	`jnl`	Attribute-guided prototype network for few-shot molecular property prediction. Briefings Bioinform. Linlin Hou, Hongxin Xiang, Xiangxiang Zeng, Dongsheng Cao, Li Zeng, Bosheng Song
2024	J	`jnl`	Dual-View Learning Based on Images and Sequences for Molecular Property Prediction. IEEE J. Biomed. Health Informatics Xiang Zhang, Hongxin Xiang, Xixi Yang, Jingxin Dong, Xiangzheng Fu, Xiangxiang Zeng, Haowen Chen, Keqin Li
2024	A*	`conf`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. NeurIPS Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning. CoRR Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li
2024	J	`jnl`	Interface-aware molecular generative framework for protein-protein interaction modulators. J. Cheminformatics Jianmin Wang, Jiashun Mao, Chunyan Li, Hongxin Xiang, Xun Wang, Shuang Wang, Zixu Wang, Yangyang Chen, Yuquan Li, Kyoung Tai No, Tao Song, Xiangxiang Zeng
2024	J	`jnl`	MaskMol: Knowledge-guided Molecular Image Pre-Training Framework for Activity Cliffs. CoRR Zhixiang Cheng, Hongxin Xiang, Pengsen Ma, Li Zeng, Xin Jin, Xixi Yang, Jianxin Lin, Yang Deng, Bosheng Song, Xinxin Feng, Changhui Deng, Xiangxiang Zeng
2023	J	`jnl`	Chemical structure-aware molecular image representation learning. Briefings Bioinform. Hongxin Xiang, Shuting Jin, Xiangrong Liu, Xiangxiang Zeng, Li Zeng
2022	J	`jnl`	Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework. Nat. Mac. Intell. Xiangxiang Zeng, Hongxin Xiang, Linhui Yu, Jianmin Wang, Kenli Li, Ruth Nussinov, Feixiong Cheng
2021	J	`jnl`	Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification. CoRR Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
2021	J	`jnl`	Class knowledge overlay to visual feature learning for zero-shot image classification. Comput. Vis. Image Underst. Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu
2021	J	`jnl`	Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization. CoRR Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021	J	`jnl`	Cross Knowledge-based Generative Zero-Shot Learning approach with Taxonomy Regularization. Neural Networks Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu
2021	A	`conf`	Multi-Knowledge Fusion Network for Generalized Zero-Shot Learning. ICME Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
2021	J	`jnl`	Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning. CoRR Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang
2021	Misc	`conf`	Transfer Visual Semantics into Knowledge Graph for Zero-Shot Recognition in Universal Datasets. ISKE Beibei Yu, Cheng Xie, Yujin Wang, Hongxin Xiang
2021	C	`conf`	Zero-Shot Learning Based on Knowledge Sharing. CSCWD Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
2021	J	`jnl`	Zero-Shot Learning Based on Knowledge Sharing. CoRR Ting Zeng, Hongxin Xiang, Cheng Xie, Yun Yang, Qing Liu
2020	B	`conf`	A Novel Sleep Stage Classification via Combination of Fast Representation Learning and Semantic-to-Signal Learning. IJCNN Hongxin Xiang, Ting Zeng, Yun Yang