Zhang, Wen

34 publications

NeurIPS 2025 Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation Wenjie Du, Xuqiang Li, Jinke Feng, Shuai Zhang, Wen Zhang, Yang Wang

AAAI 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

ICLR 2025 Multiple Heads Are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

NeurIPS 2025 ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning Mingyang Chen, Linzhuang Sun, Tianpeng Li, Sunhaoze, ZhouYijie, Chenzheng Zhu, Haofen Wang, Jeff Z. Pan, Wen Zhang, Huajun Chen, Fan Yang, Zenan Zhou, Weipeng Chen

AAAI 2025 Tokenization, Fusion, and Augmentation: Towards Fine-Grained Multi-Modal Entity Representation Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen

AAAI 2025 TrustUQA: A Trustful Framework for Unified Structured Data Question Answering Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen

AAAI 2024 A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang

IJCAI 2024 Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction Kexin Zhang, Feng Huang, Luotao Liu, Zhankun Xiong, Hongyu Zhang, Yuan Quan, Wen Zhang

AAAI 2024 Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang

IJCAI 2024 Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation Zhiwei Wang, Yongkang Wang, Wen Zhang

NeurIPS 2024 MKGL: Mastery of a Three-Word Language Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

ICLR 2024 Revisit and Outstrip Entity Alignment: A Perspective of Generative Models Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang, Huajun Chen

AAAI 2024 Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations Yufeng Huang, Jiji Tang, Zhuo Chen, Rongsheng Zhang, Xinfeng Zhang, Weijie Chen, Zeng Zhao, Zhou Zhao, Tangjie Lv, Zhipeng Hu, Wen Zhang

IJCAI 2024 ZeroDDI: A Zero-Shot Drug-Drug Interaction Event Prediction Method with Semantic Enhanced Learning and Dual-Modal Uniform Alignment Ziyan Wang, Zhankun Xiong, Feng Huang, Xuan Liu, Wen Zhang

AAAI 2023 Analogical Inference Enhanced Knowledge Graph Embedding Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang, Huajun Chen

AAAI 2023 DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning Zhuo Chen, Yufeng Huang, Jiaoyan Chen, Yuxia Geng, Wen Zhang, Yin Fang, Jeff Z. Pan, Huajun Chen

AAAI 2023 Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding Mingyang Chen, Wen Zhang, Zhen Yao, Yushan Zhu, Yang Gao, Jeff Z. Pan, Huajun Chen

IJCAI 2023 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Mingyang Chen, Wen Zhang, Yuxia Geng, Zezhong Xu, Jeff Z. Pan, Huajun Chen

AAAI 2023 Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu, Zhongfei Zhang, Wen Zhang

IJCAI 2023 Multi-View Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction Luotao Liu, Feng Huang, Xuan Liu, Zhankun Xiong, Menglu Li, Congzhi Song, Wen Zhang

CVPR 2022 How Good Is Aesthetic Ability of a Fashion Model? Xingxing Zou, Kaicheng Pang, Wen Zhang, Waikeung Wong

IJCAI 2022 Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting Mingyang Chen, Wen Zhang, Zhen Yao, Xiangnan Chen, Mengxiao Ding, Fei Huang, Huajun Chen

AAAI 2022 Molecular Contrastive Learning with Chemical Element Knowledge Graph Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen

NeurIPS 2022 Neural-Symbolic Entangled Framework for Complex Query Answering Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen

IJCAI 2021 CSGNN: Contrastive Self-Supervised Graph Neural Network for Molecular Interaction Prediction Chengshuai Zhao, Shuai Liu, Feng Huang, Shichao Liu, Wen Zhang

IJCAI 2020 Bridging the Gap Between Training and Inference for Neural Machine Translation (Extended Abstract) Wen Zhang, Yang Feng, Qun Liu

AAAI 2020 Modeling Fluency and Faithfulness for Diverse Neural Machine Translation Yang Feng, Wanying Xie, Shuhao Gu, Chenze Shao, Wen Zhang, Zhengxin Yang, Dong Yu

IJCAI 2020 Neural Entity Summarization with Joint Encoding and Weak Supervision Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen

AAAI 2020 Regularized Wasserstein Means for Aligning Distributional Data Liang Mi, Wen Zhang, Yalin Wang

NeurIPS 2020 Towards Playing Full MOBA Games with Deep Reinforcement Learning Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu

NeurIPS 2019 Cross-Sectional Learning of Extremal Dependence Among Financial Assets Xing Yan, Qi Wu, Wen Zhang

ECCV 2018 Variational Wasserstein Clustering Liang Mi, Wen Zhang, Xianfeng Gu, Yalin Wang

ICCV 2017 An Optimal Transportation Based Univariate Neuroimaging Index Liang Mi, Wen Zhang, Junwei Zhang, Yonghui Fan, Dhruman Goradia, Kewei Chen, Eric M. Reiman, Xianfeng Gu, Yalin Wang

CVPR 2016 Shape Analysis with Hyperbolic Wasserstein Distance Jie Shi, Wen Zhang, Yalin Wang