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2020 – today
- 2024
[j72]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)- [j71]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) - [j70]Kaiqi Gong, Xiao Song, Wenxin Li
, Senzhang Wang:
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering. Knowl. Based Syst. 283: 111122 (2024) - [j69]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) - [j68]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) - [j67]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) - [c94]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 - [c93]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 - [c92]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 - [c91]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 - [c90]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 - [c89]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 - [c88]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 - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - 2023
- [j66]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) - [j65]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) - [j64]Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
Boosting source code suggestion with self-supervised Transformer Gated Highway. J. Syst. Softw. 196: 111553 (2023) - [j63]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) - [j62]Yu Yang, Jiannong Cao, Milos Stojmenovic, Senzhang Wang, Yiran Cheng, Chun Lum, Zhetao Li:
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution. IEEE Trans. Knowl. Data Eng. 35(1): 958-971 (2023) - [j61]Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu:
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation. IEEE Trans. Knowl. Data Eng. 35(4): 4077-4091 (2023) - [j60]Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu:
Fine-Grained Urban Flow Inference With Incomplete Data. IEEE Trans. Knowl. Data Eng. 35(6): 5851-5864 (2023) - [j59]Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang:
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction. IEEE Trans. Knowl. Data Eng. 35(7): 7164-7177 (2023) - [j58]Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10166-10180 (2023) - [j57]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) - [j56]Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao:
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks. IEEE Trans. Knowl. Data Eng. 35(12): 12323-12336 (2023) - [j55]Song Wu, Xiaoyong Li, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Zichen Xu:
Multi-source and heterogeneous marine hydrometeorology spatio-temporal data analysis with machine learning: a survey. World Wide Web (WWW) 26(3): 1115-1156 (2023) - [j54]Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu:
Adaptive self-propagation graph convolutional network for recommendation. World Wide Web (WWW) 26(5): 3183-3206 (2023) - [c87]Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang:
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. AAAI 2023: 4685-4692 - [c86]Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim:
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. CIKM 2023: 976-986 - [c85]Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang:
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. CIKM 2023: 3505-3513 - [c84]Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
PASS: Personalized Advertiser-aware Sponsored Search. KDD 2023: 4924-4936 - [c83]Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang:
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS 2023 - [c82]Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang:
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. NeurIPS 2023 - [c81]Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang:
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS 2023 - [c80]Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang:
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) 2023: 700-715 - [c79]Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang:
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. SDM 2023: 163-171 - [c78]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR 2023: 601-611 - [c77]Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong:
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. SIGIR 2023: 1488-1497 - [c76]Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang:
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. SIGIR 2023: 2189-2193 - [i38]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim:
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR abs/2305.13825 (2023) - [i37]Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim:
Can Transformer and GNN Help Each Other? CoRR abs/2308.14355 (2023) - [i36]Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang:
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation. CoRR abs/2309.01988 (2023) - [i35]Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu:
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR abs/2311.00491 (2023) - [i34]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. CoRR abs/2311.02880 (2023) - 2022
- [j53]Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang, Senzhang Wang:
Predicting Dynamic User-Item Interaction with Meta-Path Guided Recursive RNN. Algorithms 15(3): 80 (2022) - [j52]Hao Miao, Yan Fei, Senzhang Wang, Fang Wang, Danyan Wen:
Deep learning based origin-destination prediction via contextual information fusion. Multim. Tools Appl. 81(9): 12029-12045 (2022) - [j51]Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, Wengen Li:
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation. IEEE Trans. Big Data 8(3): 770-783 (2022) - [j50]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2. ACM Trans. Intell. Syst. Technol. 13(2): 17:1-17:4 (2022) - [j49]Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu:
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction. ACM Trans. Intell. Syst. Technol. 13(3): 38:1-38:22 (2022) - [j48]Senzhang Wang, Hao Miao, Jiyue Li, Jiannong Cao:
Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks. IEEE Trans. Intell. Transp. Syst. 23(5): 4695-4705 (2022) - [j47]Senzhang Wang, Jiannong Cao, Philip S. Yu:
Deep Learning for Spatio-Temporal Data Mining: A Survey. IEEE Trans. Knowl. Data Eng. 34(8): 3681-3700 (2022) - [c75]Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li:
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. CIKM 2022: 614-623 - [c74]Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang:
Generative-Free Urban Flow Imputation. CIKM 2022: 2028-2037 - [c73]Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun:
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. ICLR 2022 - [c72]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. ICML 2022: 13209-13224 - [c71]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI 2022: 2376-2382 - [c70]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS 2022 - [c69]Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu:
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking. ECML/PKDD (4) 2022: 418-434 - [c68]Song Wu, Xiaojiang Zhang, Wei Dong, Senzhang Wang, Xiaoyong Li, Senliang Bao, Kai Li:
Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 604-609 - [c67]Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang:
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction. WSDM 2022: 363-371 - [c66]Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song:
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. WSDM 2022: 1072-1080 - [i33]Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun:
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. CoRR abs/2202.03800 (2022) - [i32]Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang:
HousE: Knowledge Graph Embedding with Householder Parameterization. CoRR abs/2202.07919 (2022) - [i31]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR abs/2205.04816 (2022) - [i30]Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie:
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR abs/2208.01250 (2022) - [i29]Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin:
Robust Graph Structure Learning over Images via Multiple Statistical Tests. CoRR abs/2210.03956 (2022) - 2021
- [j46]Bing Bai, Guiling Li, Senzhang Wang, Zongda Wu, Wenhe Yan:
Time series classification based on multi-feature dictionary representation and ensemble learning. Expert Syst. Appl. 169: 114162 (2021) - [j45]Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam, Xiaohui Cui:
JDGAN: Enhancing generator on extremely limited data via joint distribution. Neurocomputing 431: 148-162 (2021) - [j44]Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He:
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning. Inf. Sci. 578: 401-416 (2021) - [j43]Jia Wang, Jiannong Cao, Wei Li, Senzhang Wang:
CANE: community-aware network embedding via adversarial training. Knowl. Inf. Syst. 63(2): 411-438 (2021) - [j42]Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li:
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1. ACM Trans. Intell. Syst. Technol. 12(6): 67:1-67:3 (2021) - [j41]Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao, Zhiqiu Huang:
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets. IEEE Trans. Intell. Transp. Syst. 22(1): 219-230 (2021) - [j40]Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu:
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 33(4): 1413-1425 (2021) - [j39]Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. IEEE Trans. Knowl. Data Eng. 33(6): 2505-2519 (2021) - [j38]He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu:
Group Reassignment for Dynamic Edge Partitioning. IEEE Trans. Parallel Distributed Syst. 32(10): 2477-2490 (2021) - [c65]Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He:
Adversarial Directed Graph Embedding. AAAI 2021: 4741-4748 - [c64]Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu:
Hubness-aware User Identity Linkage. CIKM 2021: 3196-3200 - [c63]Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu:
MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation. DASFAA (3) 2021: 228-243 - [c62]Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang:
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern. DASFAA (2) 2021: 392-399 - [c61]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM 2021: 111-120 - [c60]Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang:
Multi-Channel Pooling Graph Neural Networks. IJCAI 2021: 1442-1448 - [c59]Weilin Wang, Zhaohui Peng, Senzhang Wang, Hao Li, Min Liu, Liang Xue, Nengwei Zhang:
IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series. MDM 2021: 29-38 - [c58]Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song:
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories. SDM 2021: 73-81 - [c57]Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu:
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. SDM 2021: 504-512 - [i28]Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He:
A Robust and Generalized Framework for Adversarial Graph Embedding. CoRR abs/2105.10651 (2021) - [i27]Jinpeng Chen, Haiyang Li, Fan Zhang, Senzhang Wang, Kaimin Wei:
Session-based Recommendation with Heterogeneous Graph Neural Network. CoRR abs/2108.05641 (2021) - [i26]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR abs/2110.07888 (2021) - [i25]Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR abs/2112.07373 (2021) - 2020
- [j37]Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren:
Dynamic network embedding via incremental skip-gram with negative sampling. Sci. China Inf. Sci. 63(10): 1-19 (2020) - [j36]Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
Deep Transfer Learning for Source Code Modeling. Int. J. Softw. Eng. Knowl. Eng. 30(5): 649-668 (2020) - [j35]Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling. Inf. Softw. Technol. 125: 106309 (2020) - [j34]Hao Peng, Hongfei Wang, Bowen Du, Md. Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, Philip S. Yu:
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting. Inf. Sci. 521: 277-290 (2020) - [j33]Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang:
Mutual clustering on comparative texts via heterogeneous information networks. Knowl. Inf. Syst. 62(1): 175-202 (2020) - [j32]Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaokang Xu, Xiaoguang Hong:
CDLFM: cross-domain recommendation for cold-start users via latent feature mapping. Knowl. Inf. Syst. 62(5): 1723-1750 (2020) - [j31]Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui:
Sketch-then-Edit Generative Adversarial Network. Knowl. Based Syst. 203: 106102 (2020) - [j30]Asif Nawaz, Zhiqiu Huang, Senzhang Wang, Muhammad Azeem Akbar, Hussain Alsalman, Abdu Gumaei:
GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism. Sensors 20(18): 5143 (2020) - [j29]Bowen Du, Hao Peng, Senzhang Wang, Md. Zakirul Alam Bhuiyan, Lihong Wang, Qiran Gong, Lin Liu, Jing Li:
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction. IEEE Trans. Intell. Transp. Syst. 21(3): 972-985 (2020) - [j28]