Jun Xia - RankMe

120 papers A* 35A 1C 8Misc 4Journal 67Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Assessing the role of gridded evapotranspiration products in improving streamflow simulation and reducing hydrological modeling uncertainty. Ecol. Informatics Minxin Li, Lei Zou, Jun Xia, Feiyu Wang, Jiarui Yu, Jiayuan Xu, Si Hong
2026	A*	`conf`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. AAAI Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2026	A*	`conf`	Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control. AAAI Shaorong Chen, Jingbo Zhou, Jun Xia
2026	J	`jnl`	Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control. CoRR Shaorong Chen, Jingbo Zhou, Jun Xia
2026	J	`jnl`	SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method. IEEE Trans. Neural Networks Learn. Syst. Yue Liu, Ke Liang, Jun Xia, Meng Liu, Xihong Yang, Xinwang Liu, Sihang Zhou, Stan Z. Li
2026	A*	`conf`	VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. WWW Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026	J	`jnl`	VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention. CoRR Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2025	A*	`conf`	A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing. IJCAI Jun Xia, Jingbo Zhou, Shaorong Chen, Tianze Ling, Stan Z. Li
2025	J	`jnl`	Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. CoRR Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li
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	J	`jnl`	Complex hierarchical structures analysis in single-cell data with Poincaré deep manifold transformation. Briefings Bioinform. Yongjie Xu, Zelin Zang, Bozhen Hu, Yue Yuan, Cheng Tan, Jun Xia, Stan Z. Li
2025	J	`jnl`	Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges. CoRR Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
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`	GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. IJCAI Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025	J	`jnl`	GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype. CoRR Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025	J	`jnl`	GuardReasoner: Towards Reasoning-based LLM Safeguards. CoRR Yue Liu, Hongcheng Gao, Shengfang Zhai, Jun Xia, Tianyi Wu, Zhiwei Xue, Yulin Chen, Kenji Kawaguchi, Jiaheng Zhang, Bryan Hooi
2025	A*	`conf`	MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction. IJCAI Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang
2025	A*	`conf`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. ICLR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2025	J	`jnl`	Multimodal Regression for Enzyme Turnover Rates Prediction. CoRR Bozhen Hu, Cheng Tan, Siyuan Li, Jiangbin Zheng, Sizhe Qiu, Jun Xia, Stan Z. Li
2025	J	`jnl`	NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency. CoRR Shenzhi Yang, Jun Xia, Jingbo Zhou, Xingkai Yao, Xiaofang Zhang
2025	J	`jnl`	PRESCRIBE: Predicting Single-Cell Responses with Bayesian Estimation. CoRR Jiabei Cheng, Changxi Chi, Jingbo Zhou, Hongyi Xin, Jun Xia
2025	A*	`conf`	ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing. ICLR Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li
2025	J	`jnl`	SP-DTI: subpocket-informed transformer for drug-target interaction prediction. Bioinform. Sizhe Liu, Yuchen Liu, Haofeng Xu, Jun Xia, Stan Z. Li
2025	J	`jnl`	Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges. CoRR Changxi Chi, Jun Xia, Yufei Huang, Jingbo Zhou, Siyuan Li, Yunfan Liu, Chang Yu, Stan Z. Li
2024	A*	`conf`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. ICML Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer. CoRR Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information. CoRR Jun Xia, Shaorong Chen, Jingbo Zhou, Tianze Ling, Wenjie Du, Sizhe Liu, Stan Z. Li
2024	A*	`conf`	AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases. NeurIPS Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li
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	A*	`conf`	Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer. AAAI Cheng Tan, Zhangyang Gao, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li
2024	A*	`conf`	Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective. ICML Cheng Tan, Zhangyang Gao, Hanqun Cao, Xingran Chen, Ge Wang, Lirong Wu, Jun Xia, Jiangbin Zheng, Stan Z. Li
2024	A*	`conf`	Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module. NeurIPS Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li
2024	J	`jnl`	Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding. CoRR Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2024	A*	`conf`	DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning. ICDE Jun Xia, Shaorong Chen, Yue Liu, Zhangyang Gao, Jiangbin Zheng, Xihong Yang, Stan Z. Li
2024	A*	`conf`	End-to-end Learnable Clustering for Intent Learning in Recommendation. NeurIPS Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
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`	GNN Cleaner: Label Cleaner for Graph Structured Data. IEEE Trans. Knowl. Data Eng. Jun Xia, Haitao Lin, Yongjie Xu, Cheng Tan, Lirong Wu, Siyuan Li, Stan Z. Li
2024	J	`jnl`	Graph-level Protein Representation Learning by Structure Knowledge Refinement. CoRR Ge Wang, Zelin Zang, Jiangbin Zheng, Jun Xia, Stan Z. Li
2024	A*	`conf`	KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement. ICLR Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia, Siyuan Li, Stan Z. Li
2024	A*	`conf`	Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure. NeurIPS Bozhen Hu, Cheng Tan, Jun Xia, Yue Liu, Lirong Wu, Jiangbin Zheng, Yongjie Xu, Yufei Huang, Stan Z. Li
2024	A*	`conf`	MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. IJCAI Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang
2024	J	`jnl`	Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li
2024	J	`jnl`	MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction. CoRR Cheng Tan, Zhenxiao Cao, Zhangyang Gao, Lirong Wu, Siyuan Li, Yufei Huang, Jun Xia, Bozhen Hu, Stan Z. Li
2024	J	`jnl`	NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics. CoRR Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
2024	A*	`conf`	NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics. NeurIPS Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li
2024	J	`jnl`	Online Differentiable Clustering for Intent Learning in Recommendation. CoRR Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu
2024	A*	`conf`	ProtGO: Function-Guided Protein Modeling for Unified Representation Learning. NeurIPS Bozhen Hu, Cheng Tan, Yongjie Xu, Zhangyang Gao, Jun Xia, Lirong Wu, Stan Z. Li
2023	A*	`conf`	A Systematic Survey of Chemical Pre-trained Models. IJCAI Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2023	A*	`conf`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. ACM Multimedia Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	J	`jnl`	CONVERT: Contrastive Graph Clustering with Reliable Augmentation. CoRR Xihong Yang, Cheng Tan, Yue Liu, Ke Liang, Siwei Wang, Sihang Zhou, Jun Xia, Stan Z. Li, Xinwang Liu, En Zhu
2023	A*	`conf`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CVPR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	J	`jnl`	CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment. CoRR Jiangbin Zheng, Yile Wang, Cheng Tan, Siyuan Li, Ge Wang, Jun Xia, Yidong Chen, Stan Z. Li
2023	—	`conf`	Co-supervised Pre-training of Pocket and Ligand. ECML/PKDD (1) Zhangyang Gao, Cheng Tan, Jun Xia, Stan Z. Li
2023	Misc	`conf`	Deep Manifold Graph Auto-Encoder For Attributed Graph Embedding. ICASSP Bozhen Hu, Zelin Zang, Jun Xia, Lirong Wu, Cheng Tan, Stan Z. Li
2023	J	`jnl`	Deep learning instance segmentation framework for burnt area instances characterization. Int. J. Appl. Earth Obs. Geoinformation Qurratulain Safder, Zezhong Zheng, Jun Xia, Yi Ma, Fangrong Zhou
2023	A*	`conf`	Dink-Net: Neural Clustering on Large Graphs. ICML Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Dink-Net: Neural Clustering on Large Graphs. CoRR Yue Liu, Ke Liang, Jun Xia, Sihang Zhou, Xihong Yang, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Ecological health analysis of wetlands in the middle reaches of Yangtze River under changing environment. Int. J. Digit. Earth Shengqing Zhang, Xiaoyan Zhai, Peng Yang, Jun Xia, Sheng Hu, Libo Zhou, Cai Fu
2023	Misc	`conf`	Global-Context Aware Generative Protein Design. ICASSP Cheng Tan, Zhangyang Gao, Jun Xia, Bozhen Hu, Stan Z. Li
2023	J	`jnl`	Historical Attributions and Future Projections of Gross Primary Productivity in the Yangtze River Basin under Climate Change Based on a Novel Coupled LUE-RE Model. Remote. Sens. Hong Du, Jian Wu, Sidong Zeng, Jun Xia
2023	J	`jnl`	Identifying the Responses of Vegetation Gross Primary Productivity and Water Use Efficiency to Climate Change under Different Aridity Gradients across China. Remote. Sens. Xiaoyang Li, Lei Zou, Jun Xia, Feiyu Wang, Hongwei Li
2023	J	`jnl`	Impact of Urbanization on Regional Rainfall-Runoff Processes: Case Study in Jinan City, China. Remote. Sens. Yanjun Zhao, Jun Xia, Zongxue Xu, Yunfeng Qiao, Jianming Shen, Chenlei Ye
2023	J	`jnl`	MMDesign: Multi-Modality Transfer Learning for Generative Protein Design. CoRR Jiangbin Zheng, Siyuan Li, Yufei Huang, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jun Xia, Ge Wang, Stan Z. Li
2023	A*	`conf`	Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules. ICLR Jun Xia, Chengshuai Zhao, Bozhen Hu, Zhangyang Gao, Cheng Tan, Yue Liu, Siyuan Li, Stan Z. Li
2023	A*	`conf`	Reinforcement Graph Clustering with Unknown Cluster Number. ACM Multimedia Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Reinforcement Graph Clustering with Unknown Cluster Number. CoRR Yue Liu, Ke Liang, Jun Xia, Xihong Yang, Sihang Zhou, Meng Liu, Xinwang Liu, Stan Z. Li
2023	J	`jnl`	Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View. CoRR Cheng Tan, Jue Wang, Zhangyang Gao, Siyuan Li, Lirong Wu, Jun Xia, Stan Z. Li
2023	J	`jnl`	Spatiotemporal Heterogeneity of Water Conservation Function and Its Driving Factors in the Upper Yangtze River Basin. Remote. Sens. Chengjian Liu, Lei Zou, Jun Xia, Xinchi Chen, Lingfeng Zuo, Jiarui Yu
2023	A*	`conf`	Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning. CVPR Cheng Tan, Zhangyang Gao, Lirong Wu, Yongjie Xu, Jun Xia, Siyuan Li, Stan Z. Li
2023	A*	`conf`	Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions. NeurIPS Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Siyuan Li, Stan Z. Li
2023	J	`jnl`	Why Deep Models Often cannot Beat Non-deep Counterparts on Molecular Property Prediction? CoRR Jun Xia, Lecheng Zhang, Xiao Zhu, Stan Z. Li
2023	Misc	`conf`	Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization. ICASSP Jun Xia, Ge Wang, Bozhen Hu, Cheng Tan, Jiangbin Zheng, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	A Survey of Deep Graph Clustering: Taxonomy, Challenge, and Application. CoRR Yue Liu, Jun Xia, Sihang Zhou, Siwei Wang, Xifeng Guo, Xihong Yang, Ke Liang, Wenxuan Tu, Stan Z. Li, Xinwang Liu
2022	J	`jnl`	A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Stan Z. Li
2022	J	`jnl`	A Systematic Survey of Molecular Pre-trained Models. CoRR Jun Xia, Yanqiao Zhu, Yuanqi Du, Yue Liu, Stan Z. Li
2022	J	`jnl`	Attributions of Evapotranspiration and Gross Primary Production Changes in Semi-Arid Region: A Case Study in the Water Source Area of the Xiong'an New Area in North China. Remote. Sens. Sidong Zeng, Hong Du, Jun Xia, Jian Wu, Linhan Yang
2022	J	`jnl`	BA_EnCaps: Dense Capsule Architecture for Thermal Scrutiny. IEEE Trans. Geosci. Remote. Sens. Qurratulain Safder, Fangrong Zhou, Zezhong Zheng, Jun Xia, Yi Ma, Bo Wu, Mingcang Zhu, Yong He, Jiang Li
2022	A	`conf`	Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation. WACV Lirong Wu, Zicheng Liu, Jun Xia, Zelin Zang, Siyuan Li, Stan Z. Li
2022	J	`jnl`	Generative De Novo Protein Design with Global Context. CoRR Cheng Tan, Zhangyang Gao, Jun Xia, Stan Z. Li
2022	—	`conf`	GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction. ECML/PKDD (4) Lirong Wu, Jun Xia, Zhangyang Gao, Haitao Lin, Cheng Tan, Stan Z. Li
2022	J	`jnl`	Influence of Terrestrial Water Storage on Flood Potential Index in the Yangtze River Basin, China. Remote. Sens. Peng Yang, Wenyu Wang, Xiaoyan Zhai, Jun Xia, Yulong Zhong, Xiangang Luo, Shengqing Zhang, Nengcheng Chen
2022	J	`jnl`	Inner Dynamic Detection and Prediction of Water Quality Based on CEEMDAN and GA-SVM Models. Remote. Sens. Zhizhou Yang, Lei Zou, Jun Xia, Yunfeng Qiao, Diwen Cai
2022	J	`jnl`	Merging Multisatellite and Gauge Precipitation Based on Geographically Weighted Regression and Long Short-Term Memory Network. Remote. Sens. Jianming Shen, Po Liu, Jun Xia, Yanjun Zhao, Yi Dong
2022	J	`jnl`	Multi-level disentanglement graph neural network. Neural Comput. Appl. Lirong Wu, Haitao Lin, Jun Xia, Cheng Tan, Stan Z. Li
2022	Misc	`conf`	OT Cleaner: Label Correction as Optimal Transport. ICASSP Jun Xia, Cheng Tan, Lirong Wu, Yongjie Xu, Stan Z. Li
2022	A*	`conf`	ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning. ICML Jun Xia, Lirong Wu, Ge Wang, Jintao Chen, Stan Z. Li
2022	J	`jnl`	Protein Language Models and Structure Prediction: Connection and Progression. CoRR Bozhen Hu, Jun Xia, Jiangbin Zheng, Cheng Tan, Yufei Huang, Yongjie Xu, Stan Z. Li
2022	A*	`conf`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. WWW Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2022	J	`jnl`	SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation. CoRR Jun Xia, Lirong Wu, Jintao Chen, Bozhen Hu, Stan Z. Li
2022	J	`jnl`	Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification. CoRR Lirong Wu, Jun Xia, Haitao Lin, Zhangyang Gao, Zicheng Liu, Guojiang Zhao, Stan Z. Li
2022	—	`conf`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. ACL (1) Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2022	J	`jnl`	Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings. CoRR Jiangbin Zheng, Yile Wang, Ge Wang, Jun Xia, Yufei Huang, Guojiang Zhao, Yue Zhang, Stan Z. Li
2021	A*	`conf`	Co-learning: Learning from Noisy Labels with Self-supervision. ACM Multimedia Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Co-learning: Learning from Noisy Labels with Self-supervision. CoRR Cheng Tan, Jun Xia, Lirong Wu, Stan Z. Li
2021	J	`jnl`	Debiased Graph Contrastive Learning. CoRR Jun Xia, Lirong Wu, Jintao Chen, Ge Wang, Stan Z. Li
2021	J	`jnl`	Impact of Urban Expansion on Rain Island Effect in Jinan City, North China. Remote. Sens. Yanjun Zhao, Jun Xia, Zongxue Xu, Lei Zou, Yunfeng Qiao, Peng Li
2021	—	`conf`	Invertible Manifold Learning for Dimension Reduction. ECML/PKDD (3) Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2021	J	`jnl`	Novel hybrid coupling of ecohydrology and socioeconomy at river basin scale: A watershed system model for the Heihe River basin. Environ. Model. Softw. Xin Li, Ling Zhang, Yi Zheng, Dawen Yang, Feng Wu, Yong Tian, Feng Han, Bing Gao, Hongyi Li, Yanlin Zhang, Yingchun Ge, Guodong Cheng, Bojie Fu, Jun Xia, Changqing Song, Chunmiao Zheng
2021	J	`jnl`	Research and Analysis of Ecological Environment Quality in the Middle Reaches of the Yangtze River Basin between 2000 and 2019. Remote. Sens. Shengqing Zhang, Peng Yang, Jun Xia, Kunlun Qi, Wenyu Wang, Wei Cai, Nengcheng Chen
2020	J	`jnl`	A comprehensive assessment framework for quantifying climatic and anthropogenic contributions to streamflow changes: A case study in a typical semi-arid North China basin. Environ. Model. Softw. Ke Zhang, Gebdang B. Ruben, Xin Li, Zhijia Li, Zhongbo Yu, Jun Xia, Zengchuan Dong
2020	C	`conf`	Change of Impervious Surface of Chengdu City, China. IGARSS Yue He, Xiaobo Zhang, Jibao Shi, Jun Xia, Kai Chen, Tao Weng, Zezhong Zheng
2020	J	`jnl`	Deep Clustering and Representation Learning that Preserves Geometric Structures. CoRR Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan Z. Li
2020	J	`jnl`	Development of an interface-oriented add-in modeling framework for integrated water system simulation and its application. Environ. Model. Softw. Sidong Zeng, Hong Du, Jun Xia
2020	C	`conf`	Drought Monitoring in Sub-Sahara Africa. IGARSS Fan Mou, Twum-Antwi Akwasi, Mujie Li, Mingcang Zhu, Yong He, Zhanyong He, Yang Xiao, Juan Ren, Jun Xia, Xiang Zhang, Zezhong Zheng, Guoqing Zhou
2020	J	`jnl`	Invertible Manifold Learning for Dimension Reduction. CoRR Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. Li
2020	C	`conf`	Land Use and Land Cover Change of Ghana. IGARSS Ankai Hou, Abrado Blankson Samuel, Mujie Li, Zezhong Zheng, Jun Xia, Xiang Zhang, Guoqing Zhou
2020	J	`jnl`	Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China. Remote. Sens. Ting Chen, Jun Xia, Lei Zou, Si Hong
2019	J	`jnl`	A Censored Shifted Mixture Distribution Mapping Method to Correct the Bias of Daily IMERG Satellite Precipitation Estimates. Remote. Sens. Qiumei Ma, Lihua Xiong, Jun Xia, Bin Xiong, Han Yang, Chong-Yu Xu
2019	J	`jnl`	Characteristics of the Flexible Graphite Grounding Material and its Engineering Application. IEEE Access Daochun Huang, Jun Xia, Jiangjun Ruan, Yongcong Wu, Wanlin Quan
2019	J	`jnl`	Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China. Remote. Sens. Jie Liu, Jun Xia, Dunxian She, Lingcheng Li, Qiang Wang, Lei Zou
2019	C	`conf`	Land Price Assesment Based on Deep Neural Network. IGARSS Ankai Hou, Guoqing Zhou, Hongsheng Zhang, Jiang Li, Jiaxi Liu, Yuxuan Tao, Shaobin Jiang, Kai Li, Zezhong Zheng, Jun Xia, Yong He, Mingcang Zhu
2019	C	`conf`	Urban Functional Regions Discovering Based on Deep Learning. IGARSS Fan Mou, Zhigang Liu, Ankai Hou, Ling Jiang, Shengli Wang, Jiang Li, Rui Kong, Kai Li, Zezhong Zheng, Jun Xia, Yong He, Mingcang Zhu, Guoqing Zhou, Hongsheng Zhang
2019	J	`jnl`	Utilizing Satellite Surface Soil Moisture Data in Calibrating a Distributed Hydrological Model Applied in Humid Regions Through a Multi-Objective Bayesian Hierarchical Framework. Remote. Sens. Han Yang, Lihua Xiong, Qiumei Ma, Jun Xia, Jie Chen, Chong-Yu Xu
2018	C	`conf`	Monitoring of Drought Change in the Middle Reach of Yangtze River. IGARSS Pingchuan Zhang, Na Wang, Zezhong Zheng, Jun Xia, Liping Zhang, Xiang Zhang, Mingcang Zhu, Yang He, Ling Jiang, Guoqing Zhou, Jiang Li
2015	C	`conf`	Drought monitoring and warning in the middle reach of Yangtze River with MODIS. IGARSS Lanying Yuan, Mingcang Zhu, Zezhong Zheng, Jun Xia, Xiang Zhang, Yong He, Guoqing Zhou, Xiaowen Li, Guiyun Zhou, Yufeng Lu, Shi Qiu, Hongsheng Zhang, Jiang Li
2015	—	`conf`	Quantifying temporal-spatial variability of land-surface temperature anomalies using DP-based algorithm. FSKD Nini Wang, Jun Xia, Jianchuan Yin
2015	C	`conf`	The application of ant colony algorithm in emergency rescue with GIS. IGARSS Yufeng Lu, Yong He, Jun Xia, Zezhong Zheng, Huan Wei, Yalan Liu, Xiang Zhang, Guoqing Zhou, Zhanmang Liao, Guiyun Zhou, Hongsheng Zhang, Jiang Li