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Publication search results
found 217 matches
- 2024
- Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang:
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning. GeoInformatica 28(3): 381-401 (2024) - Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji:
SR-HetGNN: session-based recommendation with heterogeneous graph neural network. Knowl. Inf. Syst. 66(2): 1111-1134 (2024) - Kaiqi Gong, Xiao Song, Wenxin Li, Senzhang Wang:
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering. Knowl. Based Syst. 283: 111122 (2024) - Yue Wang, Mingsheng Liu, Yongjian Huang, Haifeng Zhou, Xianhui Wang, Senzhang Wang, Haohua Du:
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning. Int. J. Mach. Learn. Cybern. 15(1): 3-18 (2024) - Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao:
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction. Int. J. Mach. Learn. Cybern. 15(1): 65-78 (2024) - Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 2895-2909 (2024) - Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao:
STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. DASFAA (1) 2024: 186-202 - Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. IJCAI 2024: 2551-2560 - Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang:
SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation. IJCAI 2024: 2561-2569 - Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD 2024: 3621-3632 - Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang:
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD 2024: 6257-6268 - Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim:
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. SIGIR 2024: 1285-1295 - Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. SIGIR 2024: 1774-1784 - Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang:
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. WSDM 2024: 1032-1041 - Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang:
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. WWW 2024: 3598-3608 - Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW 2024: 4316-4327 - Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang:
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. CoRR abs/2401.14939 (2024) - Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang:
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. CoRR abs/2402.07659 (2024) - Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim:
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs. CoRR abs/2402.16240 (2024) - Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang:
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR abs/2403.04468 (2024) - Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang:
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. CoRR abs/2404.15034 (2024) - Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang:
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. CoRR abs/2405.13075 (2024) - Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang:
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR abs/2406.02318 (2024) - Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim:
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR abs/2406.08229 (2024) - Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang:
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator. CoRR abs/2409.09253 (2024) - 2023
- Guiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu:
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features. Expert Syst. Appl. 213(Part C): 118923 (2023) - Rui Bing, Guan Yuan, Fanrong Meng, Senzhang Wang, Shaojie Qiao, Zhixiao Wang:
Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning. Int. J. Softw. Informatics 13(4): 417-447 (2023) - Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
Boosting source code suggestion with self-supervised Transformer Gated Highway. J. Syst. Softw. 196: 111553 (2023) - Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. IEEE Trans. Knowl. Data Eng. 35(11): 11004-11018 (2023)
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