Shanshan Feng

According to our database, Shanshan Feng authored at least 138 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Few-Shot Relation Extraction With Dual Graph Neural Network Interaction.

Jing Li, Shanshan Feng, Billy Chiu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Hybrid Brain-Computer Interface Controlled Soft Robotic Glove for Stroke Rehabilitation.

Ruoqing Zhang, Shanshan Feng, Nan Hu, Shunkang Low, Meng Li, Xiaogang Chen, Hongyan Cui

IEEE J. Biomed. Health Informatics, July, 2024

Spherical Neural Operator Network for Global Weather Prediction.

Kenghong Lin, Xutao Li, Yunming Ye, Shanshan Feng, Baoquan Zhang, Guangning Xu, Ziye Wang

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Continuous frequent contact detection over moving objects.

Junjie Zhang, Jie Yu, Shuo Shang, Lisi Chen, Shanshan Feng

GeoInformatica, April, 2024

Exploring and Exploiting High-Order Spatial-Temporal Dynamics for Long-Term Frame Prediction.

Kuai Dai, Xutao Li, Yunming Ye, Yaowei Wang, Shanshan Feng, Di Xian

IEEE Trans. Circuits Syst. Video Technol., March, 2024

Exploiting Group-Level Behavior Pattern for Session-Based Recommendation.

Ziyang Wang, Wei Wei, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang

IEEE Trans. Knowl. Data Eng., January, 2024

LGCNet: A Cloud Detection Method in Remote Sensing Images Using Local and Global Semantics.

Chen Luo, Shanshan Feng, Huaibin Wang, Baoquan Zhang, Pengjuan Yao, Chuyao Luo, Yunming Ye, Yong Xu, Xutao Li, Hao Fang

IEEE Trans. Geosci. Remote. Sens., 2024

AMANet: An Adaptive Memory Attention Network for video cloud detection.

Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Yong Xu, Xutao Li, Baoquan Zhang

Pattern Recognit., 2024

SVD-AE: An asymmetric autoencoder with SVD regularization for multivariate time series anomaly detection.

Yueyue Yao, Jianghong Ma, Shanshan Feng, Yunming Ye

Neural Networks, 2024

Exploiting global contextual information for document-level named entity recognition.

Yiting Yu, Zanbo Wang, Wei Wei, Ruihan Zhang, Xian-Ling Mao, Shanshan Feng, Fei Wang, Zhiyong He, Sheng Jiang

Knowl. Based Syst., 2024

Characterizing pituitary adenomas in clinical notes: Corpus construction and its application in LLMs.

Jiahui Hu, Jin Fu, Wanqing Zhao, Pei Lou, Ming Feng, Huiling Ren, Shanshan Feng, Yansheng Li, An Fang

Health Informatics J., 2024

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs.

Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong

CoRR, 2024

A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models.

Fan Li, Ching-Hung Lee, Su Han, Shanshan Feng, Zhuoxuan Jiang, Zhu Sun

CoRR, 2024

Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation.

Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong

CoRR, 2024

Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations.

Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong

CoRR, 2024

LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries.

Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui

CoRR, 2024

Category-based and Popularity-guided Video Game Recommendation: A Balance-oriented Framework.

Xiping Li, Jianghong Ma, Kangzhe Liu, Shanshan Feng, Haijun Zhang, Yutong Wang

Proceedings of the ACM on Web Conference 2024, 2024

Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection.

Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting.

Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation.

Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.

Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Simulating Individual Infection Risk over Big Trajectory Data.

Haiyan Wang, Shanshan Feng, Lisi Chen, Yang Liu, Shuo Shang

Proceedings of the Database Systems for Advanced Applications, 2024

Flexible Contact Correlation Learning on Spatio-Temporal Trajectories.

Chenhao Wang, Lisi Chen, Shanshan Feng, Shuo Shang

Proceedings of the Database Systems for Advanced Applications, 2024

DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences.

Kangzhe Liu, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang

Proceedings of the Database Systems for Advanced Applications, 2024

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding.

Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen, Peng Han, Shuo Shang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

UNIMEMnet: Learning long-term motion and appearance dynamics for video prediction with a unified memory network.

Kuai Dai, Xutao Li, Chuyao Luo, Wuqiao Chen, Yunming Ye, Shanshan Feng

Neural Networks, November, 2023

MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation.

Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie

IEEE Trans. Knowl. Data Eng., October, 2023

Prototype Completion for Few-Shot Learning.

Baoquan Zhang, Xutao Li, Yunming Ye, Shanshan Feng

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

H-Diffu: Hyperbolic Representations for Information Diffusion Prediction.

Shanshan Feng, Kaiqi Zhao, Lanting Fang, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shao

IEEE Trans. Knowl. Data Eng., September, 2023

ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity.

Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Xuemeng Song, Shuo Shang, Panos Kalnis, Ling Shao

IEEE Trans. Knowl. Data Eng., September, 2023

Rapid Landslide Extraction from High-Resolution Remote Sensing Images Using SHAP-OPT-XGBoost.

Na Lin, Di Zhang, Shanshan Feng, Kai Ding, Libing Tan, Bin Wang, Tao Chen, Weile Li, Xiaoai Dai, Jianping Pan, Feifei Tang

Remote. Sens., August, 2023

On Understanding of Spatiotemporal Prediction Model.

Xu Huang, Xutao Li, Yunming Ye, Shanshan Feng, Chuyao Luo, Bowen Zhang

IEEE Trans. Circuits Syst. Video Technol., July, 2023

Online Monitoring of Seawater Carbon Dioxide Based on an Infrared Rear Beam Splitter.

Luyin Liu, Ruzhang Liu, Guochao Ma, Shanshan Feng, Yuanhui Mu, Dexi Meng, Shuying Wang, Enlin Cai

Sensors, July, 2023

Circular SAR Incoherent 3D Imaging with a NeRF-Inspired Method.

Hanqing Zhang, Yun Lin, Fei Teng, Shanshan Feng, Bing Yang, Wen Hong

Remote. Sens., July, 2023

Spatiotemporal prediction in three-dimensional space by separating information interactions.

Xu Huang, Bowen Zhang, Yunming Ye, Shanshan Feng, Xutao Li

Appl. Intell., July, 2023

MetaDT: Meta Decision Tree With Class Hierarchy for Interpretable Few-Shot Learning.

Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Chen Luo, Rui Ye

IEEE Trans. Circuits Syst. Video Technol., June, 2023

NPDN-3D: A 3D neural partial differential network for spatiotemporal prediction.

Xu Huang, Shanshan Feng, Yunming Ye, Xutao Li, Bowen Zhang, Shidong Chen

Pattern Recognit., June, 2023

Anchor Assisted Experience Replay for Online Class-Incremental Learning.

Huiwei Lin, Shanshan Feng, Xutao Li, Wentao Li, Yunming Ye

IEEE Trans. Circuits Syst. Video Technol., May, 2023

WDMNet: Modeling diverse variations of regional wind speed for multi-step predictions.

Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Yan Zhu, Yao Sun, Yaowei Wang

Neural Networks, May, 2023

Interpretable local flow attention for multi-step traffic flow prediction.

Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li

Neural Networks, April, 2023

Holographic SAR Volumetric Imaging Strategy for 3-D Imaging With Single-Pass Circular InSAR Data.

Hanqing Zhang, Yun Lin, Fei Teng, Shanshan Feng, Wen Hong

IEEE Trans. Geosci. Remote. Sens., 2023

Cross-View Object Geo-Localization in a Local Region With Satellite Imagery.

Yuxi Sun, Yunming Ye, Jian Kang, Rubén Fernández-Beltran, Shanshan Feng, Xutao Li, Chuyao Luo, Puzhao Zhang, Antonio Plaza

IEEE Trans. Geosci. Remote. Sens., 2023

TRCDNet: A Transformer Network for Video Cloud Detection.

Chen Luo, Shanshan Feng, Yingling Quan, Yunming Ye, Xutao Li, Yong Xu, Baoquan Zhang, Zhihao Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive Transfer of Graph Neural Networks for Few-Shot Molecular Property Prediction.

Baoquan Zhang, Chuyao Luo, Hao Jiang, Shanshan Feng, Xutao Li, Bowen Zhang, Yunming Ye

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Visual Gait Analysis Based on UE4.

Ruzhang Liu, Luyin Liu, Guochao Ma, Shanshan Feng, Yuanhui Mu, Dexi Meng, Shuying Wang, Enlin Cai

Sensors, 2023

Anonymous Edge Representation for Inductive Anomaly Detection in Dynamic Bipartite Graphs.

Lanting Fang, Kaiyu Feng, Jie Gui, Shanshan Feng, Aiqun Hu

Proc. VLDB Endow., 2023

Exploiting Spatial-Temporal Dynamics for Satellite Image Sequence Prediction.

Kuai Dai, Chi Ma, Zhaolin Wang, Yongshen Long, Xutao Li, Shanshan Feng, Yunming Ye

IEEE Geosci. Remote. Sens. Lett., 2023

Future Event Prediction Based on Temporal Knowledge Graph Embedding.

Zhipeng Li, Shanshan Feng, Jun Shi, Yang Zhou, Yong Liao, Yangzhao Yang, Yangyang Li, Nenghai Yu, Xun Shao

Comput. Syst. Sci. Eng., 2023

HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning.

Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye

CoRR, 2023

IDVT: Interest-aware Denoising and View-guided Tuning for Social Recommendation.

Dezhao Yang, Jianghong Ma, Shanshan Feng, Haijun Zhang, Zhao Zhang

CoRR, 2023

UER: A Heuristic Bias Addressing Approach for Online Continual Learning.

Huiwei Lin, Shanshan Feng, Baoquan Zhang, Hongliang Qiao, Xutao Li, Yunming Ye

Proceedings of the 31st ACM International Conference on Multimedia, 2023

BWC: A Ballast Water Curve Algorithm for Optimizing Ship Fuel Consumption.

Yan Yao, Shanshan Feng, Hanwen Hu, Shenglin Xu, Shiyou Qian, Bin Qu, Diankun Zhai

Proceedings of the IEEE International Conference on Data Mining, 2023

User Preference Learning based on Automatic Environment Classification for General Debiasing in Recommendation Systems.

Chengshan Yan, Shanshan Feng, Jian Cao, Yan Yao, Huaxiang Zhang

Proceedings of the IEEE International Conference on Data Mining, 2023

Few-Shot Named Entity Recognition via Meta-Learning (Extended Abstract).

Jing Li, Billy Chiu, Shanshan Feng, Hao Wang

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

PCR: Proxy-Based Contrastive Replay for Online Class-Incremental Continual Learning.

Huiwei Lin, Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction.

Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei, Yunming Ye

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Reinforcement Learning for Delay and Energy-Aware Task Scheduling in Edge Clouds.

Meng Xun, Yan Yao, Jiguo Yu, Huihui Zhang, Shanshan Feng, Jian Cao

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022

Trilevel Optimization Model for Competitive Pricing of Electric Vehicle Charging Station Considering Distribution Locational Marginal Price.

Shibo Chen, Shanshan Feng, Zhenwei Guo, Zaiyue Yang

IEEE Trans. Smart Grid, 2022

Few-Shot Named Entity Recognition via Meta-Learning.

Jing Li, Billy Chiu, Shanshan Feng, Hao Wang

IEEE Trans. Knowl. Data Eng., 2022

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.

Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye, Chen Luo, Hao Jiang

IEEE Trans. Geosci. Remote. Sens., 2022

Experimental Study on Generative Adversarial Network for Precipitation Nowcasting.

Chuyao Luo, Xutao Li, Yunming Ye, Shanshan Feng, Michael K. Ng

IEEE Trans. Geosci. Remote. Sens., 2022

LWCDnet: A Lightweight Network for Efficient Cloud Detection in Remote Sensing Images.

Chen Luo, Shanshan Feng, Xiaofei Yang, Yunming Ye, Xutao Li, Baoquan Zhang, Zhihao Chen, Yingling Quan

IEEE Trans. Geosci. Remote. Sens., 2022

MSTCGAN: Multiscale Time Conditional Generative Adversarial Network for Long-Term Satellite Image Sequence Prediction.

Kuai Dai, Xutao Li, Yunming Ye, Shanshan Feng, Danyu Qin, Rui Ye

IEEE Trans. Geosci. Remote. Sens., 2022

Multisensor Fusion and Explicit Semantic Preserving-Based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval.

Yuxi Sun, Shanshan Feng, Yunming Ye, Xutao Li, Jian Kang, Zhichao Huang, Chuyao Luo

IEEE Trans. Geosci. Remote. Sens., 2022

Developing an Enhanced Ecological Evaluation Index (EEEI) Based on Remotely Sensed Data and Assessing Spatiotemporal Ecological Quality in Guangdong-Hong Kong-Macau Greater Bay Area, China.

Shanshan Feng, Fenglei Fan

Remote. Sens., 2022

ECDNet: A bilateral lightweight cloud detection network for remote sensing images.

Chen Luo, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Zhihao Chen, Yingling Quan

Pattern Recognit., 2022

LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction.

Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, Zhihua Tu, Kenghong Lin, Zhichao Huang

Neural Networks, 2022

A personalized recommendation method based on collaborative ranking with random walk.

Runqing Jiang, Shanshan Feng, Shoujia Zhang, Xi Li, Yan Yao, Huaxiang Zhang

Multim. Tools Appl., 2022

Extracting clinical named entity for pituitary adenomas from Chinese electronic medical records.

An Fang, Jiahui Hu, Wanqing Zhao, Ming Feng, Ji Fu, Shanshan Feng, Pei Lou, Huiling Ren, Xianlai Chen

BMC Medical Informatics Decis. Mak., 2022

Better Visual Interpretation for Remote Sensing Scene Classification.

Xu Huang, Yuxi Sun, Shanshan Feng, Yunming Ye, Xutao Li

IEEE Geosci. Remote. Sens. Lett., 2022

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs.

Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu

Knowl. Based Syst., 2022

Artificial intelligence-enabled non-intrusive vigilance assessment approach to reducing traffic controller's human errors.

Fan Li, Chun-Hsien Chen, Ching-Hung Lee, Shanshan Feng

Knowl. Based Syst., 2022

Unsupervised deep hashing through learning soft pseudo label for remote sensing image retrieval.

Yuxi Sun, Yunming Ye, Xutao Li, Shanshan Feng, Bowen Zhang, Jian Kang, Kuai Dai

Knowl. Based Syst., 2022

SPLNet: A sequence-to-one learning network with time-variant structure for regional wind speed prediction.

Rui Ye, Shanshan Feng, Xutao Li, Yunming Ye, Baoquan Zhang, Chuyao Luo

Inf. Sci., 2022

RecNet: A Resource-Constraint Aware Neural Network for Used Car Recommendation.

Haihua Shi, Jianjun Qian, Nengjun Zhu, Tong Zhang, Zhen Cui, Qianliang Wu, Shanshan Feng

Int. J. Comput. Intell. Syst., 2022

MetaDT: Meta Decision Tree for Interpretable Few-Shot Learning.

Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger

CoRR, 2022

Visual Grounding in Remote Sensing Images.

Yuxi Sun, Shanshan Feng, Xutao Li, Yunming Ye, Jian Kang, Xu Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning.

Zhuoxuan Jiang, Lingfeng Qiao, Di Yin, Shanshan Feng, Bo Ren

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning.

Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Gated Mechanism Enhanced Multi-Task Learning for Dialog Routing.

Ziming Huang, Zhuoxuan Jiang, Ke Wang, Juntao Li, Shanshan Feng, Xian-Ling Mao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Learning User Embeddings Based on Long Short-Term User Group Modeling for Next-Item Recommendation.

Nengjun Zhu, Jieyun Huang, Jian Cao, Shanshan Feng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning.

Baoquan Zhang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Target-guided Emotion-aware Chat Machine.

Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng

ACM Trans. Inf. Syst., 2021

Analyzing the Effect of the Spectral Interference of Mixed Pixels Using Hyperspectral Imagery.

Shanshan Feng, Fenglei Fan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Modeling and Control of Malware Propagation in Wireless IoT Networks.

Qing Yan, Lipeng Song, Chenlu Zhang, Jing Li, Shanshan Feng

Secur. Commun. Networks, 2021

3D Point Cloud Reconstruction Using Inversely Mapping and Voting from Single Pass CSAR Images.

Shanshan Feng, Yun Lin, Yanping Wang, Fei Teng, Wen Hong

Remote. Sens., 2021

Temporal and Spatial Variation of Anthropogenic Heat in the Central Urban Area: A Case Study of Guangzhou, China.

Ting Peng, Caige Sun, Shanshan Feng, Yongdong Zhang, Fenglei Fan

ISPRS Int. J. Geo Inf., 2021

Output Tracking Control via Neural Networks for High-Order Stochastic Nonlinear Systems with Dynamic Uncertainties.

Shanshan Feng, Zong-Yao Sun, Cheng-Qian Zhou, Chih-Chiang Chen, Qinghua Meng

Int. J. Fuzzy Syst., 2021

Impervious surface extraction based on different methods from multiple spatial resolution images: a comprehensive comparison.

Shanshan Feng, Fenglei Fan

Int. J. Digit. Earth, 2021

SGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification.

Baoquan Zhang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye

CoRR, 2021

Exploiting Global Contextual Information for Document-level Named Entity Recognition.

Zanbo Wang, Wei Wei, Xianling Mao, Shanshan Feng, Pan Zhou, Zhiyong He, Sheng Jiang

CoRR, 2021

Eye Tracking Analytics for Mental States Assessment - A Review.

Fan Li, Gangyan Xu, Shanshan Feng

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage.

Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.

Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Parallel Subtrajectory Alignment over Massive-Scale Trajectory Data.

Lisi Chen, Shuo Shang, Shanshan Feng, Panos Kalnis

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

3-D Target Reconstruction using C-Band Circular SAR Imagery based on Background Constraints.

Hanqing Zhang, Yun Lin, Shanshan Feng, Fei Teng, Wen Hong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Multi-Angular Sar Scattering Anisotropy Analysis Based on Low-Rank Matrix Decomposition.

Xiaoyang Yue, Yun Lin, Fei Teng, Shanshan Feng, Wen Hong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Man-Made Target Detection Method Based on Multi-Angular Phase Characteristic.

Fei Teng, Yun Lin, Shanshan Feng, Wen Hong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Node2LV: Squared Lorentzian Representations for Node Proximity.

Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei, Fan Li, Shuo Shang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Prospective on Eye-Tracking-based Studies in Immersive Virtual Reality.

Fan Li, Ching-Hung Lee, Shanshan Feng, Amy J. C. Trappey, Fazal Gilani

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020

An Anisotropic Scattering Analysis Method Based on the Statistical Properties of Multi-Angular SAR Images.

Fei Teng, Yun Lin, Yanping Wang, Wenjie Shen, Shanshan Feng, Wen Hong

Remote. Sens., 2020

DEM Generation With a Scale Factor Using Multi-Aspect SAR Imagery Applying Radargrammetry.

Shanshan Feng, Yun Lin, Yanping Wang, Yanhui Yang, Wenjie Shen, Fei Teng, Wen Hong

Remote. Sens., 2020

Exploiting Repeated Behavior Pattern and Long-term Item dependency for Session-based Recommendation.

Ziyang Wang, Wei Wei, Gao Cong, Xian-Ling Mao, Xiao-Li Li, Shanshan Feng

CoRR, 2020

Exploring Global Information for Session-based Recommendation.

Ziyang Wang, Wei Wei, Gao Cong, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Shanshan Feng

CoRR, 2020

User-based Network Embedding for Collective Opinion Spammer Detection.

Ziyang Wang, Wei Wei, Xian-Ling Mao, Guibing Guo, Pan Zhou, Shanshan Feng

CoRR, 2020

A Survey on Recent Advances in Sequence Labeling from Deep Learning Models.

Zhiyong He, Zanbo Wang, Wei Wei, Shanshan Feng, Xianling Mao, Sheng Jiang

CoRR, 2020

A multi-label text classification method via dynamic semantic representation model and deep neural network.

Tianshi Wang, Li Liu, Naiwen Liu, Huaxiang Zhang, Long Zhang, Shanshan Feng

Appl. Intell., 2020

Infectious Diseases Spreading on an Adaptive Metapopulation Network.

Shanshan Feng, Zhen Jin

IEEE Access, 2020

HME: A Hyperbolic Metric Embedding Approach for Next-POI Recommendation.

Shanshan Feng, Lucas Vinh Tran, Gao Cong, Lisi Chen, Jing Li, Fan Li

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Evaluation of Humanoid Robot Design Based on Global Eye-Tracking Metrics.

Fan Li, Danni Chang, Yisi Liu, Jian Cui, Shanshan Feng, Ning Huang, Chun-Hsien Chen, Olga Sourina

Proceedings of the Transdisciplinary Engineering for Complex Socio-technical Systems - Real-life Applications, 2020

Multi-Angular SAR Statistical Properties Analysis and Man-Made Target Detection.

Fei Teng, Yun Lin, Yanping Wang, Wenjie Shen, Shanshan Feng, Wen Hong

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

The Development and Innovation of Financial Enterprises Based on Artificial Fish Swarm Algorithm.

Shanshan Feng

Proceedings of the 2020 International Conference on Applications and Techniques in Cyber Intelligence, 2020

2019

Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation.

Chenyang Liu, Jian Cao, Shanshan Feng

ACM Trans. Knowl. Discov. Data, 2019

A Hierarchical Extraction Method of Impervious Surface Based on NDVI Thresholding Integrated With Multispectral and High-Resolution Remote Sensing Imageries.

Shanshan Feng, Fenglei Fan

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

Detecting the latent associations hidden in multi-source information for better group recommendation.

Shanshan Feng, Huaxiang Zhang, Lei Wang, Li Liu, Yuchang Xu

Knowl. Based Syst., 2019

Anchor Link Prediction across Attributed Networks via Network Embedding.

Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du

Entropy, 2019

Decentralized executions of privacy awareness data analytics workflows in the cloud.

Yan Yao, Jian Cao, Shiyou Qian, Shanshan Feng

Concurr. Comput. Pract. Exp., 2019

Merging user social network into the random walk model for better group recommendation.

Shanshan Feng, Huaxiang Zhang, Jian Cao, Yan Yao

Appl. Intell., 2019

Infectious diseases spreading on a metapopulation network coupled with its second-neighbor network.

Shanshan Feng, Zhen Jin

Appl. Math. Comput., 2019

Dem Extraction Using C-Band Circular Sar Data.

Shanshan Feng, Yun Lin, Wen Hong, Bing Han, Yanping Wang, Yanhui Yang, Wenjie Shen, Fei Teng

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

An Anisotropic Scattering Analysis Method Based on Likelihood Ratio Using Circular Sar Data.

Fei Teng, Wen Hong, Yun Lin, Bing Han, Yanping Wang, Wenjie Shen, Shanshan Feng

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Budget-Efficient Viral Video Distribution Over Online Social Networks: Mining Topic-Aware Influential Users.

Han Hu, Yonggang Wen, Shanshan Feng

IEEE Trans. Circuits Syst. Video Technol., 2018

Research on High Precision Micro-assembly Technology for Automated MEMS Thermopile Chip Die Bonding Process.

Yongtao Jiang, Shanshan Feng, Haibo Huang, Liguo Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Research on Vehicle 3D Panoramic Model and Texture Mapping Algorithm Based on Low Distortion and Uniform Field of View.

Shanshan Feng, Yongtao Jiang, Haibo Huang, Liguo Chen

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

Inf2vec: Latent Representation Model for Social Influence Embedding.

Shanshan Feng, Gao Cong, Arijit Khan, Xiucheng Li, Yong Liu, Yeow Meng Chee

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017

Recommendations Based on Comprehensively Exploiting the Latent Factors Hidden in Items' Ratings and Content.

Shanshan Feng, Jian Cao, Jie Wang, Shiyou Qian

ACM Trans. Knowl. Discov. Data, 2017

Improving group recommendations via detecting comprehensive correlative information.

Shanshan Feng, Jian Cao

Multim. Tools Appl., 2017

Unsupervised Embedding for Latent Similarity by Modeling Heterogeneous MOOC Data.

Zhuoxuan Jiang, Shanshan Feng, Weizheng Chen, Guangtao Wang, Xiaoming Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Method for Improving Target Tracking Accuracy of Vehicle Radar.

Yue Guan, Shanshan Feng, Haibo Huang, Liguo Chen

Proceedings of the Computer Vision Systems - 11th International Conference, 2017

An Image Mosaic Method Based on Deviation Splitting and Transferring for Vehicle Panoramic System.

Shanshan Feng, Ting Wang, Haibo Huang, Liguo Chen

Proceedings of the Computer Vision Systems - 11th International Conference, 2017

A Novel Cascade Model for Learning Latent Similarity from Heterogeneous Sequential Data of MOOC.

Zhuoxuan Jiang, Shanshan Feng, Gao Cong, Chunyan Miao, Xiaoming Li

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

POI2Vec: Geographical Latent Representation for Predicting Future Visitors.

Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Group Recommendations Based on Comprehensive Latent Relationship Discovery.

Shanshan Feng, Jian Cao, Jie Wang, Jing He

Proceedings of the IEEE International Conference on Web Services, 2016

2015

A Model for Discovering Unpopular Research Interests.

Shanshan Feng, Jian Cao, Yuwen Chen, Jing Qi

Proceedings of the Knowledge Science, Engineering and Management, 2015

Personalized Ranking Metric Embedding for Next New POI Recommendation.

Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An ensemble learning based approach for building airfare forecast service.

Yuwen Chen, Jian Cao, Shanshan Feng, Yudong Tan

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Influence Maximization with Novelty Decay in Social Networks.

Shanshan Feng, Xuefeng Chen, Gao Cong, Yifeng Zeng, Yeow Meng Chee, Yanping Xiang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014