Senzhang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 202

Top Venues

CoRR

CIKM

IEEE Trans. Knowl. Data Eng.

AAAI

Publications

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) (2024)
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. CoRR (2024)
Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
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)
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 (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. CoRR (2024)
Yue Wang, Mingsheng Liu, Yongjian Huang, Haifeng Zhou, Xianhui Wang, Senzhang Wang, Haohua Du
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning. Int. J. Mach. Learn. Cybern. 15 (1) (2024)
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs. WWW (2024)
Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji
SR-HetGNN: session-based recommendation with heterogeneous graph neural network. Knowl. Inf. Syst. 66 (2) (2024)
Kaiqi Gong, Xiao Song, Wenxin Li, Senzhang Wang
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering. Knowl. Based Syst. 283 (2024)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. KDD (2024)
Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction. CoRR (2024)
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. CoRR (2024)
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. KDD (2024)
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)
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 (2024)
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. CoRR (2024)
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)
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 (2024)
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)
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) (2023)
Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. AAAI (2023)
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
Boosting source code suggestion with self-supervised Transformer Gated Highway. J. Syst. Softw. 196 (2023)
Rui Bing, Guan Yuan, Fanrong Meng, Senzhang Wang, Shaojie Qiao, Zhixiao Wang
Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning. Int. J. Softw. Informatics 13 (4) (2023)
Guiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features. Expert Syst. Appl. 213 (Part C) (2023)
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS (2023)
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)
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 (2023)
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) (2023)
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)
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)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. CoRR (2023)
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) (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
Can Transformer and GNN Help Each Other? CoRR (2023)
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) (2023)
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) (2023)
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)
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) (2023)
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
Continual Learning on Dynamic Graphs via Parameter Isolation. SIGIR (2023)
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 (2023)
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. CoRR (2023)
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)
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)
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) (2023)
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) (2023)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
Hierarchical Graph Contrastive Learning. ECML/PKDD (2) (2023)
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs. NeurIPS (2023)
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) (2023)
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)
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) (2023)
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) (2022)
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)
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. IJCAI (2022)
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)
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)
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) (2022)
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 (2022)
Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang
Generative-Free Urban Flow Imputation. CIKM (2022)
Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, Wengen Li
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation. IEEE Trans. Big Data 8 (3) (2022)
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
Robust Graph Structure Learning over Images via Multiple Statistical Tests. CoRR (2022)
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR (2022)
Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang, Senzhang Wang
Predicting Dynamic User-Item Interaction with Meta-Path Guided Recursive RNN. Algorithms 15 (3) (2022)
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)
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 (2022)
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)
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
Robust Graph Structure Learning via Multiple Statistical Tests. NeurIPS (2022)
Senzhang Wang, Jiannong Cao, Philip S. Yu
Deep Learning for Spatio-Temporal Data Mining: A Survey. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
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) (2022)
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)
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) (2022)
Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. WSDM (2022)
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR (2022)
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) (2021)
Jia Wang, Jiannong Cao, Wei Li, Senzhang Wang
CANE: community-aware network embedding via adversarial training. Knowl. Inf. Syst. 63 (2) (2021)
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 (2021)
Jinpeng Chen, Haiyang Li, Fan Zhang, Senzhang Wang, Kaimin Wei
Session-based Recommendation with Heterogeneous Graph Neural Network. CoRR (2021)
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) (2021)
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
Adversarial Directed Graph Embedding. AAAI (2021)
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) (2021)
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)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
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)
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang
Multi-Channel Pooling Graph Neural Networks. IJCAI (2021)
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)
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)
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) (2021)
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) (2021)
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 (2021)
Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. SDM (2021)
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)
Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
Hubness-aware User Identity Linkage. CIKM (2021)
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) (2020)
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Philip S. Yu, Lifang He
Adversarial Directed Graph Embedding. CoRR (2020)
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)
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) (2020)
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
Deep Transfer Learning for Source Code Modeling. Int. J. Softw. Eng. Knowl. Eng. 30 (5) (2020)

Senzhang Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Senzhang Wang