Xiang Wang

29 papers A* 3B 1Journal 16Unranked 8
YearRankTypeTitle / Venue / Authors
2026 A* conf
Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models.
WWW
Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li
2025 J jnl
Collaborative Estimation of Tropical Cyclone Wind Radii With Multitask Learning and Multiteacher Distillation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jia Liu, Yinlei Yue, Yongjun Jin, Kaijun Ren, Xiang Wang, Kefeng Deng, Chongjiu Deng, Ke Deng
2025 — conf
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up.
BESC (3)
Chen Chen, Jianing Yin, Jiannong Cao, Zhiyuan Wen, Mingjin Zhang, Weixun Gao, Xiang Wang, Haihua Shu
2025 J jnl
FollowUpBot: An LLM-Based Conversational Robot for Automatic Postoperative Follow-up.
CoRR
Chen Chen, Jianing Yin, Jiannong Cao, Zhiyuan Wen, Mingjin Zhang, Weixun Gao, Xiang Wang, Haihua Shu
2025 J jnl
TPDTC-Net: A Decoupled Spatial-Temporal Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Chongjiu Deng, Jia Liu, Yinlei Yue, Kaijun Ren, Kefeng Deng, Xiang Wang, Yongjian Sun, Xinhua Qi
2024 J jnl
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction.
Int. J. Mach. Learn. Cybern.
Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
2024 J jnl
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning.
GeoInformatica
Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang
2024 J jnl
Toward Robust Tropical Cyclone Wind Radii Estimation With Multimodality Fusion and Missing-Modality Distillation.
IEEE Trans. Geosci. Remote. Sens.
Yongjun Jin, Jia Liu, Kaijun Ren, Xiang Wang, Kefeng Deng, Zhiqiang Fan, Chongjiu Deng, Yinlei Yue
2023 J jnl
A Space-Time Partial Differential Equation Based Physics-Guided Neural Network for Sea Surface Temperature Prediction.
Remote. Sens.
Taikang Yuan, Junxing Zhu, Wuxin Wang, Jingze Lu, Xiang Wang, Xiaoyong Li, Kaijun Ren
2023 J jnl
Local nonlinear dimensionality reduction via preserving the geometric structure of data.
Pattern Recognit.
Xiang Wang, Junxing Zhu, Zichen Xu, Kaijun Ren, Xinwang Liu, Fengyun Wang
2023 A* conf
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction.
AAAI
Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang
2022 J jnl
A Hybrid Deep Learning Model for the Bias Correction of SST Numerical Forecast Products Using Satellite Data.
Remote. Sens.
Tonghan Fei, Binghu Huang, Xiang Wang, Junxing Zhu, Yan Chen, Huizan Wang, Weimin Zhang
2022 — conf
ISP-FESAN: Improving Significant Wave Height Prediction with Feature Engineering and Self-attention Network.
ICONIP (5)
Jiaming Tan, Xiaoyong Li, Junxing Zhu, Xiang Wang, Xiaoli Ren, Juan Zhao
2022 — conf
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking.
ECML/PKDD (4)
Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu
2022 A* conf
Neural Network Driven by Space-time Partial Differential Equation for Predicting Sea Surface Temperature.
ICDM
Taikang Yuan, Junxing Zhu, Kaijun Ren, Wuxin Wang, Xiang Wang, Xiaoyong Li
2022 — conf
TEMPO-RI: A Multi-Task Spatio-Temporal Model for Tropical Cyclone Rapid Intensification Forecasting.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Sihao Chen, Xiang Wang, Rui Chen, Anze Gao, Xiaotian Pan, Qinjie Lin, Weimin Zhang
2021 — conf
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.
DASFAA (2)
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
2021 J jnl
A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks.
CoRR
Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu
2021 J jnl
Deep Learning-Based Weather Prediction: A Survey.
Big Data Res.
Xiaoli Ren, Xiaoyong Li, Kaijun Ren, Junqiang Song, Zichen Xu, Kefeng Deng, Xiang Wang
2021 — ch.
The Framework of the MDATA Computing Model.
MDATA: A New Knowledge Representation Model
Yan Jia, Aiping Li, Zhaoquan Gu, Bin Zhou, Ye Wang, Xiang Wang, Hongkui Tu
2020 — conf
A Low-Dimensional Representation Learning Method for Text Classification and Clustering.
DSC
Xiang Wang, Yunfan Liao, Junxing Zhu, Bin Zhou, Yan Jia
2020 J jnl
A Multi-View Approach Based on Naming Behavioral Modeling for Aligning Chinese User Accounts across Multiple Networks.
CoRR
Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou
2020 J jnl
A multiview approach based on naming behavioral modeling for aligning chinese user accounts across multiple networks.
Concurr. Comput. Pract. Exp.
Junxing Zhu, Xiang Wang, Qiang Liu, Xiaoyong Li, Chengcheng Shao, Bin Zhou
2019 J jnl
A hybrid CNN-LSTM model for typhoon formation forecasting.
GeoInformatica
Rui Chen, Xiang Wang, Weimin Zhang, Xiaoyu Zhu, Aiping Li, Chao Yang
2018 J jnl
Predicting the popularity of topics based on user sentiment in microblogging websites.
J. Intell. Inf. Syst.
Xiang Wang, Chen Wang, Zhaoyun Ding, Min Zhu, Jiumin Huang
2015 — conf
Detecting Internet Hidden Paid Posters Based on Group and Individual Characteristics.
WISE (2)
Xiang Wang, Bin Zhou, Yan Jia, Shasha Li
2015 — conf
Mining Personal Interests of Microbloggers Based on Free Tags in SINA Weibo.
WAIM Workshops
Xiang Wang, Xiang Yu, Bin Zhou, Yan Jia
2014 B conf
Do neighbor buddies make a difference in reblog likelihood? An analysis on SINA Weibo data.
ASONAM
Lumin Zhang, Jian Pei, Yan Jia, Bin Zhou, Xiang Wang
2013 J jnl
Improving Text Categorization with Semantic Knowledge in Wikipedia.
IEICE Trans. Inf. Syst.
Xiang Wang, Yan Jia, Ruhua Chen, Hua Fan, Bin Zhou