Publications [Google Scholar]
2024
TKDE 2024 |
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu. IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
WebConf 2024 |
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim. InternationalWorld Wide Web Conference [CCF-A] |
WebConf 2024 |
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang. InternationalWorld Wide Web Conference [CCF-A] |
WSDM 2024 |
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang. ACM International Conference on Web Search and Data Mining [CCF-B] |
KAIS 2024 |
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering. Kaiqi Gong, Xiao Song, Wenxin Li, Senzhang Wang. Knowledge and Information Systems [CCF-B] |
KAIS 2024 |
SR-HetGNN: session-based recommendation with heterogeneous graph neural network. Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji. Knowledge and Information Systems [CCF-B] |
2023
NeurIPS 2023 |
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking. 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. Conference on Neural Information Processing Systems [CCF-A] |
NeurIPS 2023 |
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang. Conference on Neural Information Processing Systems [CCF-A] |
NeurIPS 2023 |
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang. Conference on Neural Information Processing Systems [CCF-A] |
ECML/PKDD 2023 |
Hierarchical Graph Contrastive Learning. Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases [CCF-B] |
CIKM 2023 |
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation. Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim. ACM International Conference on Information and Knowledge Management [CCF-B] |
CIKM 2023 |
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model. Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang. ACM International Conference on Information and Knowledge Management [CCF-B] |
TKDE 2023 |
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu. IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
WWW 2023 |
Adaptive self-propagation graph convolutional network for recommendation. Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu. World Wide Web [CCF-B] |
KDD 2023 |
PASS: Personalized Advertiser-aware Sponsored Search. Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang. ACM SIGKDD Conference on Knowledge Discovery and Data Mining [CCF-A] |
SIGIR 2023 |
Continual Learning on Dynamic Graphs via Parameter Isolation. Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song and Sunghun Kim. ACM SIGIR Conference on Research and Development in Information Retrieval [CCF-A] |
SIGIR 2023 |
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search. Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie and Qi Zhang. ACM SIGIR Conference on Research and Development in Information Retrieval [CCF-A] |
SIGIR 2023 |
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning. Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie and Jibing Gong. ACM SIGIR Conference on Research and Development in Information Retrieval [CCF-A] |
软件学报 2023 |
多视图对比增强的异质图结构学习方法 邴睿, 袁冠, 孟凡荣, 王森章, 乔少杰, 王志晓 |
KIS 2023 |
Adaptive curvature exploration geometric graph neural network. Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S Yu. Knowledge and Information Systems [CCF-B] |
TKDE 2023 |
A robust and generalized framework for adversarial graph embedding. Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, S Yu Philip, Lifang He. IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
AAAI 2023 |
WSiP:Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. Renzhi Wang; Senzhang Wang; Hao Yan; Xiang Wang. Thirty-Seventh AAAI Conference on Artificial Intelligence [CCF-A] |
SDM 2023 |
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang. SIAM International Conference on Data Mining [CCF-B] |
2022
NeurIPS 2022 |
Robust Graph Structure Learning over Images via Multiple Statistical Tests Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang*, Xiuyu Sun, Rong Jin. Conference and workshop on Neural Information Processing Systems [CCF-A] |
CIKM 2022 |
ITSM-GCN: Informative Training Sample Mining for Graph Convolution Network-based Collaborative Filtering Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li. ACM International Conference on Information and Knowledge Management [CCF-B] |
CIKM 2022 |
Generative-Free Urban Flow Imputation Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang. ACM International Conference on Information and Knowledge Management [CCF-B] |
ICML 2022 |
HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, SenZhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang International Conference on Machine Learning [CCF-A] |
TKDE 2022 |
MBA-STNet: Bayes-enhanced Discriminative Multi-task Learning for Flow Prediction Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, SenZhang Wang IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
IJCAI 2022 |
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks JiaQiang Zhang, SenZhang Wang, SongCan Chen International Joint Conference on Artificial Intelligence [CCF-A] |
TKDE 2022 |
Fine-grained Urban Flow Inference with Incomplete Data JiYue Li, SenZhang Wang, JiaQiang Zhang, Hao Miao, JunBo Zhang, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
ICLR 2022 |
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun International Conference on Learning Representations |
TKDE 2022 |
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
TKDE 2022 |
Multi-view Tensor Graph Neural Networks Through Reinforced Aggregation Xusheng Zhao, Qiong Dai, Hao Peng, Jia Wu, Xu Bai, Jianlong Tan, Senzhang Wang, Jianxin Li, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
WWW 2022 |
Multi-source and heterogeneous marine hydrometeorology spatio-temporal data analysis with machine learning: a survey Song Wu, Xiaoyong Li, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Zichen Xu World Wide Web Journal [CCF-B] |
ECML-PKDD 2022 |
Multi-Task Adversarial Learning for Semi-Supervised Trajectory-User Linking Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu European Conference on Machine Learning and Knowledge Discovery in Databases [CCF-B] |
WSDM 2022 |
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S Yu, Xue Wang, Jian Wang The International Conference on Web Search and Data Mining [CCF-B] |
2021
ICDM 2021 |
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network XingCheng Fu, JianXin Li, QingYun Sun, Cheng Ji, Jia Wu, Hao Peng, SenZhang Wang, JiaJun Tan, Philip S. Yu International Conference on Data Mining [CCF-B, Best Paper Candidate] |
信息安全学报 2021 |
面向电子商务平台用户意图预测的时间感知分层自注意力网络 王森章, 刘毅, 张家强, 尹成语 |
INS 2021 |
Dynamic Graph Convolutional Network for Long-Term Traffic Flow Prediction with Reinforcement Learning Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, SenZhang Wang, Xu Zhang, Lifang He Information Science [CCF-B] |
MDM 2021 |
IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series Weilin Wang, Zhaohui Peng, SenZhang Wang, Hao Li, Min Liu, Liang Xue, Nengwei Zhang International Conference on Mobile Data Management [CCF-C] |
TKDE 2021 |
Time-capturing Dynamic Graph Embedding for Temporal Linkage Evolution Yu Yang, Jiannong Cao, Milos Stojmenovic, SenZhang Wang, Yiran Cheng, Chun Lum, Zhetao Li IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
T-ITS 2021 |
Multivariate Correlation-Aware Spatio-Temporal Graph Convolutional Networks for Multi-scale Traffic Prediction SenZhang Wang, Meiyue Zhang, HaoMiao, Zhaohui Peng, and Philip S. Yu ACM Transactions on Ingelligent Systems and Technology |
IJCAI 2021 |
Multi-Channel Pooling Graph Neural Networks Jinlong Du, SenZhang Wang, Hao Miao, Jiaqiang Zhang International Joint Conference on Artificial Intelligence [CCF-A] |
TPDS 2021 |
Group Reassignment for Dynamic Edge Partitioning He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, SenZhang Wang, Jaesoo Yoo, Philip S. Yu IEEE Transactions on Parallel and Distributed Systems [CCF-A] |
NLM 2021 |
JDGAN: Enhancing generator on extremely limited data via joint distribution Wei Li, Linchuan Xu, Zhixuan Liang, SenZhang Wang, Jiannong Cao, Thomas C Lam, Xiaohui Cui Neurocomputing [CCF-C] |
DASFAA 2021 |
MISS: A Multi-user Identication Network for Shared-account Session-aware Recommendation Xinyu Wen, Zhaohui Peng, Shanshan Huang, SenZhang Wang, Philip S. Yu Database Systems for Advanced Applications [CCF-B] |
DASFAA 2021 |
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern Xiaokang Xu, Zhaohui Peng, SenZhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang Database Systems for Advanced Applications [CCF-B] |
MTAP 2021 |
Deep learning based origin-destination prediction via contextual information fusion Hao Miao, Yan Fei, SenZhang Wang, Fang Wang, Danyan Wen Multimedia Tools and Applications |
AAAI 2021 |
Adversarial Directed Graph Embedding Shijie Zhu, Jianxin Li, Hao Peng, SenZhang Wang, Philip S. Yu, Lifang He AAAI Conference on Artificial Intelligence [CCF-A] |
T-ITS 2021 |
Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks SenZhang Wang, Hao Miao, Jiyue Li, Jiannong Cao IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
SDM 2021 |
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction SenZhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu SIAM International Conference on Data Mining [CCF-B] |
SDM 2021 |
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories Min Liu, Zhaohui Peng, Xiaohui Yu, SenZhang Wang, Qiao Song SIAM International Conference on Data Mining [CCF-B] |
AAAI 2021 |
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction Hao Miao, SenZhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun and Fan Yang AAAI Conference on Artificial Intelligence [CCF-A] |
ESWA 2021 |
Time series classification based on multi-feature dictionary representation and ensemble learning Bing Bai, Guiling Li, SenZhang Wang, Zongda Wu, Wenhe Yan Expert Systems with Applications |
2020
ADMA 2020 |
Recursive RNN based Shift Representation Learning for Dynamic User-Item Interaction Prediction ChengYu Yin, SenZhang Wang, JinLong Du and MeiYue Zhang Advanced Data Mining and Applications [Best Student Candidate] |
TKDE 2020 |
Deep Learning for Spatio-Temporal Data Mining: A Survey SenZhang Wang, Jiannong Cao, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
ICDM 2020 |
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks Qingyun Sun, Hao Peng, Jianxin Li, SenZhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu IEEE International Conference on Data Mining [CCF-B] |
CIKM 2020 |
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction SenZhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang ACM International Conference on Information and Knowledge Management [CCF-B] |
IST 2020 |
CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling Yasir Hussain, Zhiqiu Huang, Yu Zhou, SenZhang Wang Information and Software Technology [CCF-B] |
CIKM 2020 |
Label-Aware Graph Convolutional Networks Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, SenZhang Wang, Peng He, Zhoujun Li ACM International Conference on Information and Knowledge Management [CCF-B] |
TBD 2020 |
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation Jia Wang, Jiannong Cao, SenZhang Wang, Wengen Li IEEE Transactions on Big Data [CCF-B] |
KAIS 2020 |
CANE: Community-aware Network Embedding via Adversarial Training Jia Wang, Jiannong Cao, Wei Li, SenZhang Wang, Wengen Li Knowledge and Information Systems [CCF-B] |
AAAI 2020 |
Motif-matching based Subgraph-level Attentional Convolutional Network for Graph Classification Hao Peng, Jianxin Li, Qiran Gong, SenZhang Wang, Yuanxin Ning, Lifang He AAAI Conference on Artificial Intelligence [CCF-A] |
TKDE 2020 |
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification Hao Peng, Jianxin Li, SenZhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Lifang He, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
INS 2020 |
Spatial Temporal Incidence Dynamic Graph Neural Networks for Traffic Flow Forecasting 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 Information Science [CCF-B] |
TVT 2020 |
Accurate analytical-based multi-hop localization with low energy consumption for irregular networks Xiaoyong Yan, Jiannong Cao, Lijuan Sun, Jian Zhou, SenZhang Wang, Aiguo Song IEEE Transactions on Vehicular Technology |
T-ITS 2020 |
TrafficGAN: Network-Scale Deep Traffic Prediction with Generative Adversarial Nets Yuxuan Zhang, SenZhang Wang, Bing Chen, Jiannong Cao, Zhiqiu Huang IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
DASFAA 2020 |
Heterogeneous Graph Embedding for Cross-Domain Recommendation through Adversarial Learning Jin Li, Zhaohui Peng, SenZhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao Database Systems for Advanced Applications [CCF-B] |
T-ITS 2020 |
ConvLSTM based Transportation Mode Learning from raw GPS trajectories Asif Nawaz, Zhiqiu Huang, SenZhang Wang IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
LREC 2020 |
Decode with Template: Content Preserving Sentiment Transfer Zhiyuan Wen, Jiannong Cao, SenZhang Wang, Ruosong Yang International Conference on Language Resources and Evaluation |
TSAS 2020 |
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-Step Urban Crowd Flow Prediction SenZhang Wang, Jiannong Cao, Hao Chen, Hao Peng ACM Transactions on Spatial Algorithms and Systems |
IJSEKE 2020 |
Deep Transfer Learning for Source Code Modeling Yasir Husssain, Zhiqiu Huang, Yu Zhou, SenZhang Wang International Journal of Software Engineering and Knowledge Engineering |
WWW 2020 |
Extracting diverse-shapelets for early classification on time series Wenhe Yan, Guiling Li, Zongda Wu, SenZhang Wang, Philip S. Yu World Wide Web [CCF-B] |
CLOUD 2020 |
Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction Chengyu Yin, SenZhang Wang, Hao Miao International Conference on Cloud Computing |
CLOUD 2020 |
Deep neural architecture for geospatial trajectory completion over occupancy gridmap Asif Nawaz, Zhiqiu Huang, SenZhang Wang, Amara Naseer International Conference on Cloud Computing |
2019
TKDE 2019 |
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks Chuan Shi, XiaoTian Han, Song Li, Xiao Wang, SenZhang Wang, JunPing Du, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
CIKM 2019 |
Multi-Hot Compact Network Embedding Chaozhuo Li, SenZhang Wang, Lei Zheng, Philip S. Yu, Feiran Huang, Zhoujun Li ACM International Conference on Information and Knowledge Management [CCF-B] |
CIKM 2019 |
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage Chaozhuo Li, SenZhang Wang, Lei Zheng, Philip S. Yu, Zhoujun Li ACM International Conference on Information and Knowledge Management [CCF-B] |
TKDE 2019 |
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems SenZhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu IEEE Transactions on Knowledge and Data Engineering [CCF-A] |
IJCAI 2019 |
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang , Hao Peng, Wang Lihong, Min He International Joint Conference on Artificial Intelligence [CCF-A] |
DASFAA 2019 |
Understanding Information Diffusion via Heterogeneous Information Network Embeddings Yuan Su, Xi Zhang, SenZhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu Database Systems for Advanced Applications [CCF-B] |
KAIS 2019 |
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks Jianping Cao, SenZhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Feiyue Wang Knowledge and Information Systems [CCF-B] |
AAAI 2019 |
Adversarial Learning for Weakly-Supervised Social Network Alignment Chaozhuo Li, SenZhang Wang, Yukun Wang, Yun Liu, Philip S. Yu AAAI Conference on Artificial Intelligence [CCF-A] |
AAAI 2019 |
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems Wenjing Fu, Zhaohui Peng, SenZhang Wang, Yang Xu, Jin Li AAAI Conference on Artificial Intelligence [CCF-A] |
KAIS 2019 |
CDLFM: Cross-Domain Recommendation for Cold-Start Users via Latent Feature Mapping Xinghua Wang, Zhaohui Peng, SenZhang Wang, Philip S. Yu, Wenjing Fu, Xiaokang Xu, Xiaoguang Hong Knowledge and Information Systems [CCF-B] |
PAKDD 2019 |
FGST: Fine-Grained Spatial-Temporal based Regression for Traffic Prediction in Stationless Bike Sharing Systems Hao Chen, SenZhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li Pacific-Asia Conference on Knowledge Discovery and Data Mining [CCF-C] |
T-ITS 2019 |
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction Bowen Du, Hao Peng, SenZhang Wang, Jianxin Li, Jing Li, Zhene Zou, Qiran Gong, Lihong Wang IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
IJCNN 2019 |
GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction Yuxuan Zhang, SenZhang Wang, Bing Chen, Jiannong Cao International Joint Conference on Neural Networks [CCF-C] |
ASC 2019 |
Sentiment analysis of social images via hierarchical deep fusion of content and links Jie Xu, Feiran Huang, SenZhang Wang, Chaozhuo Li, Zhoujun Li, Yueying he Applied Soft Computing |
KBS 2019 |
Adversarial Learning for Multi-View Network Embedding on Incomplete Graphs Chaozhuo Li, SenZhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li Knowledge-based System |
KBS 2019 |
Visual-textual sentiment classification with bi-directional multi-level attention networks Jie Xu, Feiran Huang, Xiaoming Zhang, SenZhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He Knowledge-based System |
PRICAI 2019 |
Predicting Scientific Impact via Heterogeneous Academic Network Embedding Chunjing Xiao, Jianing Han, Wei Fan, SenZhang Wang, Rui Huang, Yuxiang Zhang Pacific Rim International Conference on Artificial Intelligence [CCF-C] |
SCIS 2019 |
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, SenZhang Wang, Lin Liu, Lihong Wang, Xiang Ren Science China Information Science [CCF-B] |
2018
ICDM 2018 |
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion ChaoZhuo Li, SenZhang Wang,LiFang He, Philip S. Yu, YanBo Liang, ZhouJun Li IEEE International Conference on Data Mining [CCF-B] |
CIKM 2018 |
Distribution Distance Minimization for Unsupervised User Identity Linkage Chaozhuo Li, SenZhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang ACM International Conference on Information and Knowledge Management [CCF-B] |
WPC 2018 |
Forecasting Citywide Traffic Congestion Based on Social Media Dayong Shen, Longfei Zhang, Jianping Cao, SenZhang Wang Wireless Personal Communications |
TCYB 2018 |
Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning Xiaoming Zhang, SenZhang Wang, Zhoujun Li, Shuai Ma IEEE Transactions on Cybernetics [CCF-B] |
IJCAI 2018 |
Ensemble Neural Relation Extraction with Adaptive Boosting Dongdong Yang, Senzhang Wang, Zhoujun Li International Joint Conference on Artificial Intelligence [CCF-A] |
IJCAI 2018 |
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song International Joint Conference on Artificial Intelligence [CCF-A] |
IJCAI 2018 |
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang International Joint Conference on Artificial Intelligence [CCF-A] |
T-ITS 2018 |
Efficient Traffic Estimation with Multi-Sourced Data by Parallel Coupled Hidden Markov Model SenZhang Wang, Xiaoming Zhang, Fengxiang Li, Philip S. Yu, Zhiqiu Huang IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
FCS 2018 |
Exploit latent Dirichlet allocation for collaborative filtering Zhoujun Li, Haijun Zhang, SenZhang Wang, Feiran Huang, Zhenping Li, Jianshe Zhou Frontiers of Computer Science |
KBS 2018 |
Improving stock market prediction via heterogeneous information fusion Xi Zhang, Yunjia Zhang, SenZhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu Knowledge-based System |
KBS 2018 |
Unsupervised geographically discriminative feature learning for landmark tagging Xiaoming Zhang, Zhonghua Zhao, Haijun Zhang, SenZhang Wang, Zhoujun Li Knowledge-based System |
MTAP 2018 |
Classify social image by integrating multi-modal content Xiaoming Zhang, Xu Zhang, Xiong Li, Zhoujun Li, SenZhang Wang Multimedia Tools and Applications |
QREI 2018 |
Improving failures prediction by exploring weighted shape-based time-series clustering Xin Wang, Ji Wu, Chao Liu, SenZhang Wang, Tingshu Wang, Wensheng Niu Quality and Reliability Engineering International |
DASFAA 2018 |
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping Xinghua Wang, Zhaohui Peng, SenZhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong Database Systems for Advanced Applications [CCF-B] |
2017
TOIS 2017 |
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data SenZhang Wang, XiaoMing Zhang, JianPing Cao, LiFang He, Leon Stenneth, Philip S. Yu, ZhouJun Li, ZhiQiu Huang ACM Transactions on Information Systems [CCF-A] |
T-ITS 2017 |
Detecting Communities on Topic of Transportation With Sparse Crowd Annotations Jianping Cao, SenZhang Wang, Hui Wang IEEE Transactions on Intelligent Transportation Systems [CCF-B] |
DASFAA 2017 |
Semi-Supervised Network Embedding Chaozhuo Li, Zhoujun Li, SenZhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou Database Systems for Advanced Applications [CCF-B] |
DASFAA 2017 |
PPNE: Property Preserving Network Embedding Chaozhuo Li, SenZhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou Database Systems for Advanced Applications [CCF-B] |
DASFAA 2017 |
Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization Tianhang Song, Zhaohui Peng, SenZhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu Database Systems for Advanced Applications [CCF-B] |
CIKM 2017 |
From Properties to Links: Deep Network Embedding on Incomplete Graphs Dejiang Yang, SenZhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li ACM International Conference on Information and Knowledge Management [CCF-B] |
WISE 2017 |
DTRP: A Flexible Deep Framework for Travel Route Planning Jie Xu, Chaozhuo Li, SenZhang Wang, Zhoujun Li Web Information Systems Engineering |
CIKM 2017 |
Exploit Latent Dirichlet Allocation for Collaborative Filtering Haijun Zhang, Xia Hu, Zhoujun Li, SenZhang Wang, Zhenping Li, Jianshe Zhou ACM International Conference on Information and Knowledge Management [CCF-B] |
CSCWD 2017 |
Measuring the Relevance of Different-typed Objects in Weighted Signed Heterogeneous Information Networks Tianchen Zhu, Zhaohui Peng, SenZhang Wang, Philip S. Yu, Xiaoguang Hong IEEE International Conference on Computer Supported Cooperative Work in Design |
TSMC 2017 |
Integrating Multi-sourced Texts in Online Business Intelligence Systems Jianping Cao, SenZhang Wang, Benxian Li, Xiao Wang, Zhaoyun Ding and Fei-Yue Wang IEEE Transactions on Systems, Man, and Cybernetics |
CAD 2017 |
Cross-program Design Space Exploration by Ensemble Transfer Learning Dandan Li, Shuzhen Yao, SenZhang Wang International Conference On Computer Aided Design [CCF-B] |
2016
QREI 2016 |
A hybrid model based on singular spectrum analysis and support vector regression machines for failure time series prediction Xin Wang, Ji Wu, Chao Liu, SenZhang Wang Quality and Reliability Engineering International |
TMM 2016 |
Learning Geographical Hierarchy Features via a Compositional Model XiaoMing Zhang, Xia Hu, SenZhang Wang, Yang Yang, ZhouJun Li, JianShe Zhou IEEE Transactions on Multimedia [CCF-B] |
TIST 2016 |
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement SenZhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He ACM Transactions on Intelligent Systems and Technology [CCF-B] |
TCYB 2016 |
Geographical Topics Learning of Geo-Tagged Social Images Xiaoming Zhang, Shufan Ji, SenZhang Wang, Zhoujun Li, Xueqiang Lv IEEE Transactions on Cybernetics [CCF-B] |
DSE 2016 |
Clustering Embedded Approaches for Efficient Information Network Inference Qingbo Hu, Sihong Xie, Shuyang Lin, SenZhang Wang, Philip S. Yu Data Science and Engineering |
AAAI 2016 |
Aggregating Inter-sentence Information to Enhance Relation Extraction Hao Zheng, Zhoujun Li, SenZhang Wang, Zhao Yan, Jianshe Zhou AAAI Conference on Artificial Intelligence [CCF-A] |
ECML-PKDD 2016 |
Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model SenZhang Wang, Fengxiang Li, Xiaoming Zhang, Leon Stenneth, Philip S. Yu The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery [CCF-B] |
CODES+ISSS 2016 |
Efficient Design Space Exploration by Knowledge Transfer Dandan Li, SenZhang Wang, Shuzhen Yao, Yu-Hang Liu, Yuanqi Cheng, Xian-He Sun International Conference on Hardware/Software Codesign and System Synthesis [CCF-B] |
ASONAM 2016 |
Intertwined Viral Marketing in Social Networks Jiawei Zhang, SenZhang Wang, Qianyi Zhan, Philip S. Yu International Conference on Advances in Social Network Analysis and Mining |
DAC 2016 |
Efficient Design Space Exploration via Statistical Sampling and AdaBoost Learning Dandan Li, Shuzhen Yao, SenZhang Wang, Yu-Hang Liu, Xian-He Sun Design Automation Conference [CCF-B] |
PAKDD 2016 |
Clustering Large Attributed Graphs with Multiple Sparse Annotations Jianping Cao, SenZhang Wang, Hui Wang, Feiyue Wang, Philip S. Yu Pacific-Asia Conference on Knowledge Discovery and Data Mining [CCF-C] |
MDM 2016 |
Estimating Urban Traffic Congestions with Multi-Sourced Data SenZhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang International Conference on Mobile Data Management [CCF-C] |
2015
KAIS 2015 |
CPB: a classification-based approach for burst time prediction in cascades SenZhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, ZhouJun Li, Biao Wang Knowledge and Information System [CCF-B] |
WWW 2015 |
Exploiting social circle broadness for influential spreaders identification in social networks SenZhang Wang, Fang Wang, Yan Chen, Chunyang Liu, Zhoujun Li, Xiaoming Zhang World Wide Web [CCF-B] |
NLM 2015 |
Event detection and popularity prediction in microblogging Xiaoming Zhang, Xiaoming Chen, Yan Chen, SenZhang Wang, Zhoujun Li, Jiali Xia Neurocomputing [CCF-C] |
PLoS One 2015 |
Improving the Robustness of Complex Networks with Preserving Community Structure Xiaoming Zhang, Xiaoming Chen, Yan Chen, SenZhang Wang, Zhoujun Li, Jiali Xia Public Library of Science |
AAAI 2015 |
Burst Time Prediction in Cascades SenZhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li AAAI Conference on Artificial Intelligence [CCF-A] |
GIS 2015 |
Citywide Traffic Congestion Estimation with Social Media SenZhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems |
DASFAA 2015 |
Location Prediction of Social Images via Generative Model Xiaoming Zhang, Zhoujun Li,SenZhang Wang, Yang Yang, and Xueqiang Lv Database Systems for Advanced Applications |
ICMR 2015 |
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer SenZhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li ACM International Conference on Multimedia Retrival [CCF-B] |
PAKDD 2015 |
Influence Maximization across Partially Aligned Heterogeneous Social Networks Qianyi Zhan, Jiawei Zhang, SenZhang Wang, Philip S. Yu, Junyuan Xie Pacific-Asia Conference on Knowledge Discovery and Data Mining [CCF-C] |
ICWSM 2015 |
CENI: a Hybrid Framework for Efficiently Inferring Information Networks Qingbo Hu, Sihong Xie, Shuyang Lin, SenZhang Wang, Qingbo Hu, Sihong Xie, Shuyang Lin International AAAI Conference on Web and Social Media |
WAIM 2015 |
cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks Qian Wang, Zhaohui Peng, SenZhang Wang, Philip S. Yu, Qiangzhong Li International Conference on Web-Age Information Management |
WAIM 2015 |
Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorization Min Zhu, Tianchen Zhu, Zhaohui Peng, Guang Yang, Yang Xu, SenZhang Wang, Xiangwei Wang International Conference on Web-Age Information Management |
IRI 2015 |
PNA: Partial Network Alignment with Generic Stable Matching Jiawei Zhang, Weixiang Shao, SenZhang Wang, Xiangnan Kong, Philip S. Yu IEEE International Conference on Information Reuse and Integration |
2014
APIN 2014 |
Training data reduction to speed up SVM training SenZhang Wang, Zhoujun Li, Chunyang Liu, Xiaoming Zhang, Haijun Zhang Applied Intelligence |
KDD 2014 |
MMrate: Inferring Multi-aspect Diffusion Networks with Multi-pattern Cascades SenZhang Wang, Xia Hu, Philip S. Yu, ZhouJun Li ACM SIGKDD Conference on Knowledge Discovery and Data Mining [CCF-A] |
SDM 2014 |
Future Influence Ranking of Scientific Literature. The 15th SIAM International Conference on Data Mining SenZhang Wang, Sihong Xie, Zhoujun Li and Philip S Yu SIAM International Conference on Data Mining [CCF-B] |
CIKM 2014 |
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering Haijun Zhang, Zhoujun Li, Yan Chen, Xiaoming Zhang, SenZhang Wang ACM International Conference on Information and Knowledge Management [CCF-B] |
PRICAI 2014 |
Exploiting Description Knowledge for Keyphrase Extraction Fang Wang, Zhongyuan Wang, SenZhang Wang, Zhoujun Li Pacific Rim International Conference on Artificial Intelligence [CCF-C] |
Before 2014
AAAI 2013 |
Negative Influence Minimizing by Blocking Nodes in Social Networks SenZhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia AAAI Conference on Artificial Intelligence [CCF-A] |
IJCNN 2012 |
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning SenZhang Wang, Zhoujun Li, Wen-Han Chao, Qinghua Cao International Joint Conference on Neural Networks [CCF-C] |
ICTAI 2012 |
Bootstrap Sampling Based Data Cleaning and Maximum Entropy SVMs for Large Datasets SenZhang Wang, Zhoujun Li, Xiaoming Zhang IEEE International Conference on Tools with Artificial Intelligence |