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2020 – today
- 2022
[j52]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)- [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [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 - [i31]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) - [i30]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) - [i29]Jiaqiang Zhang, Senzhang Wang, Songcan Chen:
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR abs/2205.04816 (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)