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2020 – today
- 2025
[j74]Litian Zhang
, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li:
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation. IEEE Trans. Knowl. Data Eng. 37(2): 613-625 (2025)- 2024
- [j73]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) - [j72]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) - [j71]Kaiqi Gong, Xiao Song, Wenxin Li, Senzhang Wang:
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering. Knowl. Based Syst. 283: 111122 (2024) - [j70]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) - [j69]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) - [j68]Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu:
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems. IEEE Trans. Big Data 10(6): 682 (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) - [c101]Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang:
FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference. CIKM 2024: 3415-3423 - [c100]Yuhao Zheng, Jinyang Wu, Zihao Cai, Senzhang Wang, Jianxin Wang:
AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities. CIKM 2024: 3424-3432 - [c99]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 - [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang:
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination. NeurIPS 2024 - [c93]Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang:
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images. NeurIPS 2024 - [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 - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang:
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning. CoRR abs/2410.09132 (2024) - [i41]Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang:
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images. CoRR abs/2410.22771 (2024) - [i40]Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang:
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. CoRR abs/2412.13231 (2024) - [i39]Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao:
FairTP: A Prolonged Fairness Framework for Traffic Prediction. CoRR abs/2412.16214 (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]Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu:
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems. IEEE Trans. Knowl. Data Eng. 32(12): 2374-2388 (2020) - [j27]Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang:
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction. ACM Trans. Spatial Algorithms Syst. 6(4): 22:1-22:24 (2020) - [j26]Jianping Cao, Senzhang Wang, Benxian Li, Xiao Wang, Zhaoyun Ding, Fei-Yue Wang:
Integrating Multisourced Texts in Online Business Intelligence Systems. IEEE Trans. Syst. Man Cybern. Syst. 50(5): 1638-1648 (2020) - [j25]Xiaoyong Yan, Jiannong Cao, Lijuan Sun, Jian Zhou, Senzhang Wang, Aiguo Song:
Accurate Analytical-Based Multi-Hop Localization With Low Energy Consumption for Irregular Networks. IEEE Trans. Veh. Technol. 69(2): 2021-2033 (2020) - [j24]Wenhe Yan, Guiling Li, Zongda Wu, Senzhang Wang, Philip S. Yu:
Extracting diverse-shapelets for early classification on time series. World Wide Web 23(6): 3055-3081 (2020) - [c56]Chengyu Yin, Senzhang Wang, Hao Miao:
Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction. CLOUD 2020: 10-12 - [c55]Asif Nawaz, Zhiqiu Huang, Senzhang Wang, Amara Naseer:
Deep neural architecture for geospatial trajectory completion over occupancy gridmap. CLOUD 2020: 37-39 - [c54]Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He:
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. AAAI 2020: 5387-5394 - [c53]Chengyu Yin, Senzhang Wang, Jinlong Du, Meiyue Zhang:
Recursive RNN Based Shift Representation Learning for Dynamic User-Item Interaction Prediction. ADMA 2020: 379-394 - [c52]Asif Nawaz, Zhiqiu Huang, Senzhang Wang:
SSMDL: Semi-supervised Multi-task Deep Learning for Transportation Mode Classification and Path Prediction with GPS Trajectories. APWeb/WAIM (2) 2020: 391-405 - [c51]Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang:
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. CIKM 2020: 1555-1564 - [c50]Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li:
Label-Aware Graph Convolutional Networks. CIKM 2020: 1977-1980 - [c49]Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao:
Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning. DASFAA (3) 2020: 507-522 - [c48]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. ICDM 2020: 511-520 - [c47]Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Senzhang Wang:
Decode with Template: Content Preserving Sentiment Transfer. LREC 2020: 4671-4679 - [i24]Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Guohua Shen, Changbo Ke:
SOM-based DDoS Defense Mechanism using SDN for the Internet of Things. CoRR abs/2003.06834 (2020) - [i23]Dongdong Yang, Kevin Dyer, Senzhang Wang:
Interpretable Deep Learning Model for Online Multi-touch Attribution. CoRR abs/2004.00384 (2020) - [i22]Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He:
Adversarial Directed Graph Embedding. CoRR abs/2008.03667 (2020) - [i21]Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He:
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. CoRR abs/2008.13099 (2020)
2010 – 2019
- 2019
- [j23]Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He:
Sentiment analysis of social images via hierarchical deep fusion of content and links. Appl. Soft Comput. 80: 387-399 (2019) - [j22]Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu:
Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data. Knowl. Inf. Syst. 61(2): 1071-1090 (2019) - [j21]Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He:
Visual-textual sentiment classification with bi-directional multi-level attention networks. Knowl. Based Syst. 178: 61-73 (2019) - [j20]Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li:
Adversarial learning for multi-view network embedding on incomplete graphs. Knowl. Based Syst. 180: 91-103 (2019) - [j19]Senzhang Wang, Xiaoming Zhang, Fengxiang Li, Philip S. Yu, Zhiqiu Huang:
Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model. IEEE Trans. Intell. Transp. Syst. 20(8): 3010-3023 (2019) - [c46]Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li:
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. AAAI 2019: 94-101 - [c45]Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li:
Adversarial Learning for Weakly-Supervised Social Network Alignment. AAAI 2019: 996-1003 - [c44]Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang:
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. CIKM 2019: 249-258 - [c43]Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. CIKM 2019: 459-468 - [c42]Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu:
Understanding Information Diffusion via Heterogeneous Information Network Embeddings. DASFAA (1) 2019: 501-516 - [c41]Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang:
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. IJCAI 2019: 5139-5145 - [c40]Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao:
GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction. IJCNN 2019: 1-8 - [c39]Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li:
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. PAKDD (1) 2019: 265-279 - [c38]Chunjing Xiao, Jianing Han, Wei Fan, Senzhang Wang, Rui Huang, Yuxiang Zhang:
Predicting Scientific Impact via Heterogeneous Academic Network Embedding. PRICAI (2) 2019: 555-568 - [i20]Yasir Hussain, Zhiqiu Huang, Senzhang Wang, Yu Zhou:
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling. CoRR abs/1903.00884 (2019) - [i19]Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li:
Multi-Hot Compact Network Embedding. CoRR abs/1903.03213 (2019) - [i18]Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang:
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks. CoRR abs/1903.03762 (2019) - [i17]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. CoRR abs/1906.03586 (2019) - [i16]Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu:
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification. CoRR abs/1906.04898 (2019) - [i15]Senzhang Wang, Jiannong Cao, Philip S. Yu:
Deep Learning for Spatio-Temporal Data Mining: A Survey. CoRR abs/1906.04928 (2019) - [i14]Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li:
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention. CoRR abs/1907.04707 (2019) - [i13]Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Yu Zhou, Guohua Shen, Changbo Ke:
Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems. CoRR abs/1908.10201 (2019) - [i12]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. CoRR abs/1909.06627 (2019) - [i11]Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
Deep Transfer Learning for Source Code Modeling. CoRR abs/1910.05493 (2019) - [i10]Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang:
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage. CoRR abs/1910.06500 (2019) - 2018
- [j18]Zhoujun Li, Haijun Zhang, Senzhang Wang, Feiran Huang, Zhenping Li, Jianshe Zhou:
Exploit latent Dirichlet allocation for collaborative filtering. Frontiers Comput. Sci. 12(3): 571-581 (2018) - [j17]Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu:
Improving stock market prediction via heterogeneous information fusion. Knowl. Based Syst. 143: 236-247 (2018) - [j16]Xiaoming Zhang, Zhonghua Zhao, Haijun Zhang, Senzhang Wang, Zhoujun Li:
Unsupervised geographically discriminative feature learning for landmark tagging. Knowl. Based Syst. 149: 143-154 (2018) - [j15]Xiaoming Zhang, Xu Zhang, Xiong Li, Zhoujun Li, Senzhang Wang:
Classify social image by integrating multi-modal content. Multim. Tools Appl. 77(6): 7469-7485 (2018) - [j14]Xin Wang, Ji Wu, Chao Liu, Senzhang Wang, Tingshu Wang, Wensheng Niu:
Improving failures prediction by exploring weighted shape-based time-series clustering. Qual. Reliab. Eng. Int. 34(2): 138-160 (2018) - [j13]Xiaoming Zhang, Senzhang Wang, Zhoujun Li, Shuai Ma:
Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning. IEEE Trans. Cybern. 48(6): 1682-1695 (2018) - [j12]Dayong Shen, Longfei Zhang, Jianping Cao, Senzhang Wang:
Forecasting Citywide Traffic Congestion Based on Social Media. Wirel. Pers. Commun. 103(1): 1037-1057 (2018) - [c37]Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang:
Distribution Distance Minimization for Unsupervised User Identity Linkage. CIKM 2018: 447-456 - [c36]Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong:
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping. DASFAA (1) 2018: 158-165 - [c35]Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li:
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion. ICDM 2018: 247-256 - [c34]Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song:
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. IJCAI 2018: 3393-3399 - [c33]Dongdong Yang, Senzhang Wang, Zhoujun Li:
Ensemble Neural Relation Extraction with Adaptive Boosting. IJCAI 2018: 4532-4538 - [c32]Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang:
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. IJCAI 2018: 4595-4601 - [i9]Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu:
Improving Stock Market Prediction via Heterogeneous Information Fusion. CoRR abs/1801.00588 (2018) - [i8]Dongdong Yang, Senzhang Wang, Zhoujun Li:
Ensemble Neural Relation Extraction with Adaptive Boosting. CoRR abs/1801.09334 (2018) - [i7]Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong:
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping. CoRR abs/1803.01617 (2018) - [i6]Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu:
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data. CoRR abs/1809.00306 (2018) - 2017
- [j11]Jianping Cao, Senzhang Wang, Hui Wang:
Detecting Communities on Topic of Transportation With Sparse Crowd Annotations. IEEE Trans. Intell. Transp. Syst. 18(4): 1017-1022 (2017) - [j10]Senzhang Wang, Xiaoming Zhang, Jianping Cao, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang:
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data. ACM Trans. Inf. Syst. 35(4): 40:1-40:30 (2017) - [c31]Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li:
From Properties to Links: Deep Network Embedding on Incomplete Graphs. CIKM 2017: 367-376 - [c30]Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong:
Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks. CSCWD 2017: 556-561 - [c29]Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou:
Semi-Supervised Network Embedding. DASFAA (1) 2017: 131-147 - [c28]Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou:
PPNE: Property Preserving Network Embedding. DASFAA (1) 2017: 163-179 - [c27]Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu:
Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization. DASFAA (1) 2017: 525-540 - [c26]Dandan Li, Shuzhen Yao, Senzhang Wang, Ying Wang:
Cross-program design space exploration by ensemble transfer learning. ICCAD 2017: 201-208 - [c25]Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao:
DTRP: A Flexible Deep Framework for Travel Route Planning. WISE (1) 2017: 359-375 - 2016
- [j9]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
Clustering Embedded Approaches for Efficient Information Network Inference. Data Sci. Eng. 1(1): 29-40 (2016) - [j8]Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li, Biao Wang:
CPB: a classification-based approach for burst time prediction in cascades. Knowl. Inf. Syst. 49(1): 243-271 (2016) - [j7]Xin Wang, Ji Wu, Chao Liu, Senzhang Wang, Wensheng Niu:
A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction. Qual. Reliab. Eng. Int. 32(8): 2717-2738 (2016) - [j6]Xiaoming Zhang, Shufan Ji, Senzhang Wang, Zhoujun Li, Xueqiang Lv:
Geographical Topics Learning of Geo-Tagged Social Images. IEEE Trans. Cybern. 46(3): 744-755 (2016) - [j5]Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He:
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement. ACM Trans. Intell. Syst. Technol. 7(4): 64:1-64:28 (2016) - [j4]Xiaoming Zhang, Xia Hu, Senzhang Wang, Yang Yang, Zhoujun Li, Jianshe Zhou:
Learning Geographical Hierarchy Features via a Compositional Model. IEEE Trans. Multim. 18(9): 1855-1868 (2016) - [c24]Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou:
Aggregating Inter-Sentence Information to Enhance Relation Extraction. AAAI 2016: 3108-3115 - [c23]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined viral marketing in social networks. ASONAM 2016: 239-246 - [c22]Dandan Li, Senzhang Wang, Shuzhen Yao, Yuhang Liu, Yuanqi Cheng, Xian-He Sun:
Efficient design space exploration by knowledge transfer. CODES+ISSS 2016: 12:1-12:10 - [c21]Dandan Li, Shuzhen Yao, Yuhang Liu, Senzhang Wang, Xian-He Sun:
Efficient design space exploration via statistical sampling and AdaBoost learning. DAC 2016: 142:1-142:6 - [c20]Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang:
Estimating Urban Traffic Congestions with Multi-sourced Data. MDM 2016: 82-91 - [c19]Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu:
User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations. PAKDD (1) 2016: 127-138 - [c18]Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu:
Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model. ECML/PKDD (2) 2016: 247-264 - [p1]Jianping Cao, Dongliang Duan, Liuqing Yang, Qingpeng Zhang, Senzhang Wang, Feiyue Wang:
Social influence analysis in the big data era: a review. Big Data over Networks 2016: 301-334 - [i5]Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu:
Intertwined Viral Marketing through Online Social Networks. CoRR abs/1607.00542 (2016) - 2015
- [j3]Xiaoming Zhang, Xiaoming Chen, Yan Chen, Senzhang Wang, Zhoujun Li, Jiali Xia:
Event detection and popularity prediction in microblogging. Neurocomputing 149: 1469-1480 (2015) - [j2]Senzhang Wang, Fang Wang, Yan Chen, Chunyang Liu, Zhoujun Li, Xiaoming Zhang:
Exploiting social circle broadness for influential spreaders identification in social networks. World Wide Web 18(3): 681-705 (2015) - [c17]Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li:
Burst Time Prediction in Cascades. AAAI 2015: 325-331 - [c16]Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li:
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. DASFAA (1) 2015: 405-421 - [c15]Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li:
Citywide traffic congestion estimation with social media. SIGSPATIAL/GIS 2015: 34:1-34:10 - [c14]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
CENI: A Hybrid Framework for Efficiently Inferring Information Networks. ICWSM 2015: 618-621 - [c13]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
PNA: Partial Network Alignment with Generic Stable Matching. IRI 2015: 166-173 - [c12]Xiaoming Zhang, Zhoujun Li, Senzhang Wang, Yang Yang, Xueqiang Lv:
Location Prediction of Social Images via Generative Model. ICMR 2015: 275-282 - [c11]Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie:
Influence Maximization Across Partially Aligned Heterogenous Social Networks. PAKDD (1) 2015: 58-69 - [c10]Min Zhu, Tianchen Zhu, Zhaohui Peng, Guang Yang, Yang Xu, Senzhang Wang, Xiangwei Wang, Xiaoguang Hong:
Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorization. WAIM 2015: 181-192 - [c9]Qian Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Qingzhong Li, Xiaoguang Hong:
cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks. WAIM 2015: 207-218 - [i4]Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu:
CENI: a Hybrid Framework for Efficiently Inferring Information Networks. CoRR abs/1503.04927 (2015) - [i3]Xiaoming Zhang, Zhoujun Li, Senzhang Wang, Yang Yang, Xueqiang Lv:
Location Prediction of Social Images via Generative Model. CoRR abs/1505.03984 (2015) - [i2]Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu:
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching. CoRR abs/1506.05164 (2015) - 2014
- [j1]Senzhang Wang, Zhoujun Li, Chunyang Liu, Xiaoming Zhang, Haijun Zhang:
Training data reduction to speed up SVM training. Appl. Intell. 41(2): 405-420 (2014) - [c8]Haijun Zhang, Zhoujun Li, Yan Chen, Xiaoming Zhang, Senzhang Wang:
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering. CIKM 2014: 1991-1994 - [c7]Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li:
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades. KDD 2014: 1246-1255 - [c6]Fang Wang, Zhongyuan Wang, Senzhang Wang, Zhoujun Li:
Exploiting Description Knowledge for Keyphrase Extraction. PRICAI 2014: 130-142 - [c5]Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu:
Future Influence Ranking of Scientific Literature. SDM 2014: 749-757 - [i1]Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu:
Future Influence Ranking of Scientific Literature. CoRR abs/1407.1772 (2014) - 2013
- [c4]Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia:
Negative Influence Minimizing by Blocking Nodes in Social Networks. AAAI (Late-Breaking Developments) 2013 - 2012
- [c3]Senzhang Wang, Fang Wang, Zhoujun Li, Xiaoming Zhang:
Who are More Influential Spreaders? Users with Broader Social Circle or with More Friends? CGC 2012: 586-593 - [c2]Senzhang Wang, Zhoujun Li, Xiaoming Zhang:
Bootstrap Sampling Based Data Cleaning and Maximum Entropy SVMs for Large Datasets. ICTAI 2012: 1151-1156 - [c1]Senzhang Wang, Zhoujun Li, Wen-Han Chao, Qinghua Cao:
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning. IJCNN 2012: 1-8
Coauthor Index
[j74] [j68] [j67] [c96] [i48] [i45] [j66] [j63] [j61] [j60] [j58] [j57] [i35] [j49] [j47] [c67] [j40] [j39] [j38] [c64] [c63] [c62] [c61] [c57] [i28] [i26] [i25] [j34] [j33] [j32] [j28] [j24] [c49] [c48] [i22] [i21] [j22] [j20] [j19] [c45] [c44] [c43] [c42] [i19] [i18] [i16] [i15] [i12] [j17] [c37] [c36] [c35] [c34] [i9] [i7] [i6] [j10] [c30] [c27] [j9] [j8] [j5] [c23] [c20] [c19] [c18] [i5] [c17] [c16] [c15] [c14] [c13] [c11] [c9] [i4] [i2] [c7] [c5] [i1]
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last updated on 2025-02-20 20:41 CET by the dblp team
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