Dong, Nanqing

16 publications

NeurIPS 2025 Bidirectional Representations Augmented Autoregressive Biological Sequence Generation Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, ZhiQiang Gao, Nanqing Dong, Siqi Sun

ICML 2025 Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun

NeurIPS 2025 PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs Xinzhe Zheng, Hao Du, Fanding Xu, Jinzhe Li, Zhiyuan Liu, WenkangWang, Tao Chen, Wanli Ouyang, Stan Z. Li, Yan Lu, Nanqing Dong, Yang Zhang

AAAI 2025 Towards Efficient and Intelligent Laser Weeding: Method and Dataset for Weed Stem Detection Dingning Liu, Jinzhe Li, Haoyang Su, Bei Cui, Zhihui Wang, Qingbo Yuan, Wanli Ouyang, Nanqing Dong

ICML 2025 Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun

IJCAI 2024 An Embarrassingly Simple Approach to Enhance Transformer Performance in Genomic Selection for Crop Breeding Renqi Chen, Wenwei Han, Haohao Zhang, Haoyang Su, Zhefan Wang, Xiaolei Liu, Hao Jiang, Wanli Ouyang, Nanqing Dong

IJCAI 2024 Benchmarking Fish Dataset and Evaluation Metric in Keypoint Detection - Towards Precise Fish Morphological Assessment in Aquaculture Breeding Weizhen Liu, Jiayu Tan, Guangyu Lan, Ao Li, Dongye Li, Le Zhao, Xiaohui Yuan, Nanqing Dong

AAAI 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun

NeurIPS 2024 Empowering and Assessing the Utility of Large Language Models in Crop Science Hang Zhang, Jiawei Sun, Renqi Chen, Wei Liu, Zhonghang Yuan, Xinzhe Zheng, Zhefan Wang, Zhiyuan Yang, Hang Yan, Hansen Zhong, Xiqing Wang, Wanli Ouyang, Fan Yang, Nanqing Dong

NeurIPS 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang

IJCAI 2024 Revealing Hierarchical Structure of Leaf Venations in Plant Science via Label-Efficient Segmentation: Dataset and Method Weizhen Liu, Ao Li, Ze Wu, Yue Li, Baobin Ge, Guangyu Lan, Shilin Chen, Minghe Li, Yunfei Liu, Xiaohui Yuan, Nanqing Dong

IJCAI 2022 Residual Contrastive Learning for Image Reconstruction: Learning Transferable Representations from Noisy Images Nanqing Dong, Matteo Maggioni, Yongxin Yang, Eduardo Pérez-Pellitero, Ales Leonardis, Steven McDonagh

CVPRW 2022 Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity Nanqing Dong, Jiayi Wang, Irina Voiculescu

ECML-PKDD 2021 Self-Supervised Multi-Task Representation Learning for Sequential Medical Images Nanqing Dong, Michael Kampffmeyer, Irina Voiculescu

ICLR 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning Wei Dai, Yi Zhou, Nanqing Dong, Hao Zhang, Eric Xing

ECML-PKDD 2018 Domain Adaption in One-Shot Learning Nanqing Dong, Eric P. Xing