Senzhang Wang

265 papers A* 49A 29B 11C 2Misc 3Journal 144Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and OOD Challenges.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Philip S. Yu, Ming Zhang
2026 A* conf
DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation.
AAAI
Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ye Ji, Kaimin Wei, Zhenye Yang
2026 J jnl
PS
CoRR
Ruochen Liu, Zhiyuan Wen, Hao Yan, Jun Yin, Senzhang Wang, Jiannong Cao
2026 J jnl
Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases.
CoRR
Jun Yin, Peng Huo, Bangguo Zhu, Hao Yan, Senzhang Wang, Shirui Pan, Chengqi Zhang
2026 A* conf
Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation.
WWW
Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu
2026 J jnl
SimGR: Escaping the Pitfalls of Generative Decoding in LLM-based Recommendation.
CoRR
Yuanbo Zhao, Ruochen Liu, Senzhang Wang, Jun Yin, Yuxin Dong, Huan Gong, Hao Chen, Shirui Pan, Chengqi Zhang
2026 J jnl
SurveyLens: A Research Discipline-Aware Benchmark for Automatic Survey Generation.
CoRR
Beichen Guo, Zhiyuan Wen, Jia Gu, Senzhang Wang, Haochen Shi, Ruosong Yang, Shuaiqi Liu
2025 J jnl
A Parameter-Efficient Federated Framework for Streaming Time Series Anomaly Detection via Lightweight Adaptation.
IEEE Trans. Mob. Comput.
Hao Miao, Ronghui Xu, Yan Zhao, Senzhang Wang, Jianxin Wang, Philip S. Yu, Christian S. Jensen
2025 J jnl
An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning.
IEEE Trans. Big Data
Rui Bing, Guan Yuan, Yanmei Zhang, Senzhang Wang, Bohan Li, Yong Zhou
2025 A* conf
Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers.
AAAI
Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang
2025 A* conf
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction.
AAAI
Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
2025 J jnl
Data-Knowledge Collaborative Learning Framework for Cellular Traffic Forecasting via Enhanced Correlation Modeling.
ISPRS Int. J. Geo Inf.
Keyi An, Qiangjun Li, Kaiqi Chen, Min Deng, Yafei Liu, Senzhang Wang, Kaiyuan Lei
2025 J jnl
Deep Learning-Based Inversion Method for Ocean Swell Waveheights From HF Radar.
IEEE Trans. Geosci. Remote. Sens.
Zhongnan Shan, Weili Wang, Tao Liu, Xiongbin Wu, Shuangyan He, Peiliang Li, Jinbao Song, Senzhang Wang
2025 J jnl
Early Detection of Multimodal Fake News via Reinforced Propagation Path Generation.
IEEE Trans. Knowl. Data Eng.
Litian Zhang, Xiaoming Zhang, Ziyi Zhou, Xi Zhang, Senzhang Wang, Philip S. Yu, Chaozhuo Li
2025 J jnl
Explainable physics-guided attention network for long-lead ENSO forecasts.
Inf. Sci.
Song Wu, Xiaoyong Li, Wei Dong, Senliang Bao, Senzhang Wang, Junxing Zhu, Xiaoli Ren, Chengcheng Shao
2025 A* conf
FairTP: A Prolonged Fairness Framework for Traffic Prediction.
AAAI
Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao
2025 J jnl
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation.
CoRR
Ruochen Liu, Hao Chen, Yuanchen Bei, Zheyu Zhou, Lijia Chen, Qijie Shen, Feiran Huang, Fakhri Karray, Senzhang Wang
2025 A* conf
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training.
AAAI
Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang
2025 J jnl
Have Our Cake and Eat It: Augmentation Diversity and Semantic Consistency Balanced Graph Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Hao Yan, Senzhang Wang, Chaozhuo Li, Jun Yin, Philip S. Yu, Jianxin Wang
2025 A* conf
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation.
SIGIR
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
2025 J jnl
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation.
CoRR
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
2025 J jnl
Humanoid-inspired Causal Representation Learning for Domain Generalization.
CoRR
Ze Tao, Jian Zhang, Haowei Li, Xianshuai Li, Yifei Peng, Xiyao Liu, Senzhang Wang, Chao Liu, Sheng Ren, Shichao Zhang
2025 J jnl
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation With Pre-Training.
IEEE Trans. Knowl. Data Eng.
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim, Philip S. Yu
2025 A conf
Large Language Model Simulator for Cold-Start Recommendation.
WSDM
Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu
2025 A* conf
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation.
ACM Multimedia
Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Jianxiang He, Feifei Kou, Jinqing Wang
2025 J jnl
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation.
CoRR
Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Jianxiang He, Feifei Kou, Jinqing Wang
2025 A conf
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
WSDM
Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian
2025 A* conf
MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning.
AAAI
Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang
2025 A conf
Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction.
CIKM
Yang Hu, Shaobo Li, Dawen Xia, Zhiheng Zhou, Wenyong Zhang, Huaqing Li, Xingxing Zhang, Senzhang Wang
2025 A conf
MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models.
WSDM
Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang
2025 Misc conf
Physically Robust and Imperceptible Adversarial Examples Generation Based on Frequency.
ICASSP
Chengyao Hua, Yitian Chen, Shigeng Zhang, Xuan Liu, Senzhang Wang, Weiping Wang, Kai Chen
2025 A* conf
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
IJCAI
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 J jnl
STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation.
CoRR
Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu
2025 A conf
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.
CIKM
Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang
2025 J jnl
STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation.
CoRR
Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang
2025 J jnl
TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Tianhao Peng, Haitao Yuan, Yongqi Zhang, Yuchen Li, Peihong Dai, Qunbo Wang, Senzhang Wang, Wenjun Wu
2025 A conf
Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning.
CIKM
Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang
2025 A* conf
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism.
WWW
Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang
2025 — conf
When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning.
KDD (2)
Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
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
2024 A conf
AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities.
CIKM
Yuhao Zheng, Jinyang Wu, Zihao Cai, Senzhang Wang, Jianxin Wang
2024 J jnl
Bayes-Enhanced Multi-View Attention Networks for Robust POI Recommendation.
IEEE Trans. Knowl. Data Eng.
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2024 J jnl
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction.
CoRR
Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
2024 J jnl
Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction.
CoRR
Hao Miao, Senzhang Wang, Meiyue Zhang, Diansheng Guo, Funing Sun, Fan Yang
2024 A conf
FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference.
CIKM
Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang
2024 J jnl
FairTP: A Prolonged Fairness Framework for Traffic Prediction.
CoRR
Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao
2024 A* conf
Fine Tuning Out-of-Vocabulary Item Recommendation with User Sequence Imagination.
NeurIPS
Ruochen Liu, Hao Chen, Yuanchen Bei, Qijie Shen, Fangwei Zhong, Senzhang Wang, Jianxin Wang
2024 A* conf
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images.
NeurIPS
Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
2024 J jnl
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images.
CoRR
Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
2024 A* conf
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 J jnl
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation.
CoRR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
2024 J jnl
Guest Editorial TBD Special Issue on Graph Machine Learning for Recommender Systems.
IEEE Trans. Big Data
Senzhang Wang, Changdong Wang, Di Jin, Shirui Pan, Philip S. Yu
2024 J jnl
HN-GCCF: High-order neighbor-enhanced graph convolutional collaborative filtering.
Knowl. Based Syst.
Kaiqi Gong, Xiao Song, Wenxin Li, Senzhang Wang
2024 A* conf
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.
WWW
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs.
CoRR
Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2024 J jnl
Knowledge-based and data-driven underground pressure forecasting based on graph structure learning.
Int. J. Mach. Learn. Cybern.
Yue Wang, Mingsheng Liu, Yongjian Huang, Haifeng Zhou, Xianhui Wang, Senzhang Wang, Haohua Du
2024 A* conf
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
WWW
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 J jnl
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.
CoRR
Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
2024 A* conf
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
KDD
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks.
CoRR
Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
2024 J jnl
Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction.
Int. J. Mach. Learn. Cybern.
Jiangnan Xia, Senzhang Wang, Xiang Wang, Min Xia, Kun Xie, Jiannong Cao
2024 A conf
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
WSDM
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
2024 A* conf
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.
KDD
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024 J jnl
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection.
CoRR
Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang
2024 J jnl
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning.
GeoInformatica
Yandi Lun, Hao Miao, Jiaxing Shen, Renzhi Wang, Xiang Wang, Senzhang Wang
2024 J jnl
SR-HetGNN: session-based recommendation with heterogeneous graph neural network.
Knowl. Inf. Syst.
Jinpeng Chen, Haiyang Li, Xudong Zhang, Fan Zhang, Senzhang Wang, Kaimin Wei, Jiaqi Ji
2024 — conf
STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction.
DASFAA (1)
Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao
2024 A* conf
SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation.
IJCAI
Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang
2024 A* conf
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
IJCAI
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 J jnl
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation.
CoRR
Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang
2024 A* conf
TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems.
SIGIR
Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim
2024 J jnl
Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.
CoRR
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
2024 J jnl
When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.
CoRR
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
2023 A* conf
A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.
NeurIPS
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
2023 J jnl
A Robust and Generalized Framework for Adversarial Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jianxin Li, Xingcheng Fu, Shijie Zhu, Hao Peng, Senzhang Wang, Qingyun Sun, Philip S. Yu, Lifang He
2023 A conf
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
CIKM
Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023 J jnl
Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst.
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023 J jnl
Adaptive self-propagation graph convolutional network for recommendation.
World Wide Web (WWW)
Zhuo Cai, Guan Yuan, Xiaobao Zhuang, Senzhang Wang, Shaojie Qiao, Mu Zhu
2023 A conf
Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning.
SDM
Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang
2023 J jnl
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation.
CoRR
Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
2023 A* conf
Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
SIGIR
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
2023 J jnl
Boosting source code suggestion with self-supervised Transformer Gated Highway.
J. Syst. Softw.
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
2023 J jnl
Can Transformer and GNN Help Each Other?
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Sunghun Kim
2023 A* conf
Continual Learning on Dynamic Graphs via Parameter Isolation.
SIGIR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 J jnl
Continual Learning on Dynamic Graphs via Parameter Isolation.
CoRR
Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023 A conf
DiffUFlow: Robust Fine-grained Urban Flow Inference with Denoising Diffusion Model.
CIKM
Yuhao Zheng, Lian Zhong, Senzhang Wang, Yu Yang, Weixi Gu, Junbo Zhang, Jianxin Wang
2023 J jnl
Fine-Grained Urban Flow Inference With Incomplete Data.
IEEE Trans. Knowl. Data Eng.
Jiyue Li, Senzhang Wang, Jiaqiang Zhang, Hao Miao, Junbo Zhang, Philip S. Yu
2023 J jnl
Forest based on Interval Transformation (FIT): A time series classifier with adaptive features.
Expert Syst. Appl.
Guiling Li, Shaolin Xu, Senzhang Wang, Philip S. Yu
2023 — conf
Hierarchical Graph Contrastive Learning.
ECML/PKDD (2)
Hao Yan, Senzhang Wang, Jun Yin, Chaozhuo Li, Junxing Zhu, Jianxin Wang
2023 J jnl
MBA-STNet: Bayes-Enhanced Discriminative Multi-Task Learning for Flow Prediction.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Jiaxing Shen, Jiannong Cao, Jiangnan Xia, Senzhang Wang
2023 A* conf
Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
SIGIR
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation.
IEEE Trans. Knowl. Data Eng.
Xusheng Zhao, Qiong Dai, Jia Wu, Hao Peng, Mingsheng Liu, Xu Bai, Jianlong Tan, Senzhang Wang, Philip S. Yu
2023 J jnl
Multi-source and heterogeneous marine hydrometeorology spatio-temporal data analysis with machine learning: a survey.
World Wide Web (WWW)
Song Wu, Xiaoyong Li, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Zichen Xu
2023 J jnl
Multi-view Contrastive Enhanced Heterogeneous Graph Structure Learning.
Int. J. Softw. Informatics
Rui Bing, Guan Yuan, Fanrong Meng, Senzhang Wang, Shaojie Qiao, Zhixiao Wang
2023 J jnl
MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization.
CoRR
Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
2023 A* conf
PASS: Personalized Advertiser-aware Sponsored Search.
KDD
Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng.
Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu
2023 J jnl
Time-Capturing Dynamic Graph Embedding for Temporal Linkage Evolution.
IEEE Trans. Knowl. Data Eng.
Yu Yang, Jiannong Cao, Milos Stojmenovic, Senzhang Wang, Yiran Cheng, Chun Lum, Zhetao Li
2023 J jnl
Traffic Accident Risk Prediction via Multi-View Multi-Task Spatio-Temporal Networks.
IEEE Trans. Knowl. Data Eng.
Senzhang Wang, Jiaqiang Zhang, Jiyue Li, Hao Miao, Jiannong Cao
2023 A* conf
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
NeurIPS
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
2023 A* conf
V-InFoR: A Robust Graph Neural Networks Explainer for Structurally Corrupted Graphs.
NeurIPS
Senzhang Wang, Jun Yin, Chaozhuo Li, Xing Xie, Jianxin Wang
2023 A* conf
WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction.
AAAI
Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang
2023 J jnl
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation.
CoRR
Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Ruochen Liu, Jian Zhang, Jianxin Wang
2022 A* conf
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space.
ICLR
Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, Yuqi Zhang, Xiuyu Sun
2022 J jnl
Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space.
CoRR
Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, Yuqi Zhang, Xiuyu Sun
2022 J jnl
Deep Learning for Spatio-Temporal Data Mining: A Survey.
IEEE Trans. Knowl. Data Eng.
Senzhang Wang, Jiannong Cao, Philip S. Yu
2022 J jnl
Deep learning based origin-destination prediction via contextual information fusion.
Multim. Tools Appl.
Hao Miao, Yan Fei, Senzhang Wang, Fang Wang, Danyan Wen
2022 A conf
Dy-HIEN: Dynamic Evolution based Deep Hierarchical Intention Network for Membership Prediction.
WSDM
Zhenyun Hao, Jianing Hao, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xue Wang, Jian Wang
2022 A conf
Generative-Free Urban Flow Imputation.
CIKM
Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang
2022 J jnl
Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
2022 A* conf
HousE: Knowledge Graph Embedding with Householder Parameterization.
ICML
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
HousE: Knowledge Graph Embedding with Householder Parameterization.
CoRR
Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022 J jnl
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation.
IEEE Trans. Big Data
Jia Wang, Jiannong Cao, Senzhang Wang, Zhongyu Yao, Wengen Li
2022 A conf
ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering.
CIKM
Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li
2022 J jnl
Introduction to the Special Issue on Deep Learning for Spatio-Temporal Data: Part 2.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li
2022 — conf
Multi-task Adversarial Learning for Semi-supervised Trajectory-User Linking.
ECML/PKDD (4)
Sen Zhang, Senzhang Wang, Xiang Wang, Shigeng Zhang, Hao Miao, Junxing Zhu
2022 J jnl
Multivariate Correlation-aware Spatio-temporal Graph Convolutional Networks for Multi-scale Traffic Prediction.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Meiyue Zhang, Hao Miao, Zhaohui Peng, Philip S. Yu
2022 A conf
Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining.
WSDM
Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song
2022 — conf
Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Song Wu, Xiaojiang Zhang, Wei Dong, Senzhang Wang, Xiaoyong Li, Senliang Bao, Kai Li
2022 J jnl
Predicting Dynamic User-Item Interaction with Meta-Path Guided Recursive RNN.
Algorithms
Yi Liu, Chengyu Yin, Jingwei Li, Fang Wang, Senzhang Wang
2022 A* conf
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks.
IJCAI
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
2022 J jnl
Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks.
CoRR
Jiaqiang Zhang, Senzhang Wang, Songcan Chen
2022 J jnl
Robust Graph Structure Learning over Images via Multiple Statistical Tests.
CoRR
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
2022 A* conf
Robust Graph Structure Learning via Multiple Statistical Tests.
NeurIPS
Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin
2022 J jnl
Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks.
IEEE Trans. Intell. Transp. Syst.
Senzhang Wang, Hao Miao, Jiyue Li, Jiannong Cao
2021 J jnl
A Robust and Generalized Framework for Adversarial Graph Embedding.
CoRR
Jianxin Li, Xingcheng Fu, Hao Peng, Senzhang Wang, Shijie Zhu, Qingyun Sun, Philip S. Yu, Lifang He
2021 A* conf
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
ICDM
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
CoRR
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
ACM TIST Special Issue on Deep Learning for Spatio-Temporal Data: Part 1.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Junbo Zhang, Yanjie Fu, Yong Li
2021 — conf
AE-UPCP: Seeking Potential Membership Users by Audience Expansion Combining User Preference with Consumption Pattern.
DASFAA (2)
Xiaokang Xu, Zhaohui Peng, Senzhang Wang, Shanshan Huang, Philip S. Yu, Zhenyun Hao, Jian Wang, Xue Wang
2021 A* conf
Adversarial Directed Graph Embedding.
AAAI
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2021 J jnl
CANE: community-aware network embedding via adversarial training.
Knowl. Inf. Syst.
Jia Wang, Jiannong Cao, Wei Li, Senzhang Wang
2021 J jnl
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
IEEE Trans. Knowl. Data Eng.
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2021 J jnl
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning.
Inf. Sci.
Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, Lifang He
2021 J jnl
Group Reassignment for Dynamic Edge Partitioning.
IEEE Trans. Parallel Distributed Syst.
He Li, Hang Yuan, Jianbin Huang, Jiangtao Cui, Xiaoke Ma, Senzhang Wang, Jaesoo Yoo, Philip S. Yu
2021 J jnl
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
IEEE Trans. Knowl. Data Eng.
Hao Peng, Jianxin Li, Senzhang Wang, Lihong Wang, Qiran Gong, Renyu Yang, Bo Li, Philip S. Yu, Lifang He
2021 A conf
Hubness-aware User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu
2021 B conf
IFP-ADAC: A Two-stage Interpretable Fault Prediction Model for Multivariate Time Series.
MDM
Weilin Wang, Zhaohui Peng, Senzhang Wang, Hao Li, Min Liu, Liang Xue, Nengwei Zhang
2021 J jnl
JDGAN: Enhancing generator on extremely limited data via joint distribution.
Neurocomputing
Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Thomas C. Lam, Xiaohui Cui
2021 A conf
LDFeRR: A Fuel-efficient Route Recommendation Approach for Long-distance Driving Based on Historical Trajectories.
SDM
Min Liu, Zhaohui Peng, Xiaohui Yu, Senzhang Wang, Qiao Song
2021 — conf
MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation.
DASFAA (3)
Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu
2021 A conf
MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction.
SDM
Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu
2021 A* conf
Multi-Channel Pooling Graph Neural Networks.
IJCAI
Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang
2021 J jnl
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR
Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu
2021 J jnl
Session-based Recommendation with Heterogeneous Graph Neural Network.
CoRR
Jinpeng Chen, Haiyang Li, Fan Zhang, Senzhang Wang, Kaimin Wei
2021 J jnl
Time series classification based on multi-feature dictionary representation and ensemble learning.
Expert Syst. Appl.
Bing Bai, Guiling Li, Senzhang Wang, Zongda Wu, Wenhe Yan
2021 J jnl
TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets.
IEEE Trans. Intell. Transp. Syst.
Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao, Zhiqiu Huang
2020 J jnl
Accurate Analytical-Based Multi-Hop Localization With Low Energy Consumption for Irregular Networks.
IEEE Trans. Veh. Technol.
Xiaoyong Yan, Jiannong Cao, Lijuan Sun, Jian Zhou, Senzhang Wang, Aiguo Song
2020 J jnl
Adversarial Directed Graph Embedding.
CoRR
Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He
2020 J jnl
CDLFM: cross-domain recommendation for cold-start users via latent feature mapping.
Knowl. Inf. Syst.
Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaokang Xu, Xiaoguang Hong
2020 J jnl
CodeGRU: Context-aware deep learning with gated recurrent unit for source code modeling.
Inf. Softw. Technol.
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
2020 B conf
Decode with Template: Content Preserving Sentiment Transfer.
LREC
Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Senzhang Wang
2020 J jnl
Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction.
IEEE Trans. Intell. Transp. Syst.
Bowen Du, Hao Peng, Senzhang Wang, Md. Zakirul Alam Bhuiyan, Lihong Wang, Qiran Gong, Lin Liu, Jing Li
2020 J jnl
Deep Transfer Learning for Source Code Modeling.
Int. J. Softw. Eng. Knowl. Eng.
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
2020 B conf
Deep neural architecture for geospatial trajectory completion over occupancy gridmap.
CLOUD
Asif Nawaz, Zhiqiu Huang, Senzhang Wang, Amara Naseer
2020 J jnl
Dynamic network embedding via incremental skip-gram with negative sampling.
Sci. China Inf. Sci.
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2020 J jnl
Extracting diverse-shapelets for early classification on time series.
World Wide Web
Wenhe Yan, Guiling Li, Zongda Wu, Senzhang Wang, Philip S. Yu
2020 J jnl
GPS Trajectory Completion Using End-to-End Bidirectional Convolutional Recurrent Encoder-Decoder Architecture with Attention Mechanism.
Sensors
Asif Nawaz, Zhiqiu Huang, Senzhang Wang, Muhammad Azeem Akbar, Hussain AlSalman, Abdu Gumaei
2020 — conf
Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning.
DASFAA (3)
Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao
2020 J jnl
Integrating Multisourced Texts in Online Business Intelligence Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Jianping Cao, Senzhang Wang, Benxian Li, Xiao Wang, Zhaoyun Ding, Fei-Yue Wang
2020 J jnl
Interpretable Deep Learning Model for Online Multi-touch Attribution.
CoRR
Dongdong Yang, Kevin Dyer, Senzhang Wang
2020 A conf
Label-Aware Graph Convolutional Networks.
CIKM
Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li
2020 J jnl
Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng.
Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang, Philip S. Yu
2020 A* conf
Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification.
AAAI
Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He
2020 A conf
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction.
CIKM
Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang
2020 J jnl
Mutual clustering on comparative texts via heterogeneous information networks.
Knowl. Inf. Syst.
Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang
2020 A* conf
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
ICDM
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020 J jnl
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks.
CoRR
Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He
2020 B conf
Recursive LSTM with Shift Embedding for Online User-Item Interaction Prediction.
CLOUD
Chengyu Yin, Senzhang Wang, Hao Miao
2020 C conf
Recursive RNN Based Shift Representation Learning for Dynamic User-Item Interaction Prediction.
ADMA
Chengyu Yin, Senzhang Wang, Jinlong Du, Meiyue Zhang
2020 J jnl
SOM-based DDoS Defense Mechanism using SDN for the Internet of Things.
CoRR
Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Guohua Shen, Changbo Ke
2020 — conf
SSMDL: Semi-supervised Multi-task Deep Learning for Transportation Mode Classification and Path Prediction with GPS Trajectories.
APWeb/WAIM (2)
Asif Nawaz, Zhiqiu Huang, Senzhang Wang
2020 J jnl
SeqST-GAN: Seq2Seq Generative Adversarial Nets for Multi-step Urban Crowd Flow Prediction.
ACM Trans. Spatial Algorithms Syst.
Senzhang Wang, Jiannong Cao, Hao Chen, Hao Peng, Zhiqiu Huang
2020 J jnl
Sketch-then-Edit Generative Adversarial Network.
Knowl. Based Syst.
Wei Li, Linchuan Xu, Zhixuan Liang, Senzhang Wang, Jiannong Cao, Chao Ma, Xiaohui Cui
2020 J jnl
Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.
Inf. Sci.
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
2019 A* conf
Adversarial Learning for Weakly-Supervised Social Network Alignment.
AAAI
Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li
2019 J jnl
Adversarial learning for multi-view network embedding on incomplete graphs.
Knowl. Based Syst.
Chaozhuo Li, Senzhang Wang, Dejian Yang, Philip S. Yu, Yanbo Liang, Zhoujun Li
2019 A* conf
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
IJCAI
Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang
2019 J jnl
Behavior-aware Service Access Control Mechanism using Security Policy Monitoring for SOA Systems.
CoRR
Yunfei Meng, Zhiqiu Huang, Senzhang Wang, Yu Zhou, Guohua Shen, Changbo Ke
2019 J jnl
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling.
CoRR
Yasir Hussain, Zhiqiu Huang, Senzhang Wang, Yu Zhou
2019 J jnl
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks.
CoRR
Chuan Shi, Xiaotian Han, Li Song, Xiao Wang, Senzhang Wang, Junping Du, Philip S. Yu
2019 J jnl
Deep Learning for Spatio-Temporal Data Mining: A Survey.
CoRR
Senzhang Wang, Jiannong Cao, Philip S. Yu
2019 J jnl
Deep Transfer Learning for Source Code Modeling.
CoRR
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
2019 J jnl
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage.
CoRR
Yasir Hussain, Zhiqiu Huang, Yu Zhou, Senzhang Wang
2019 A* conf
Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems.
AAAI
Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li
2019 J jnl
Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling.
CoRR
Hao Peng, Jianxin Li, Hao Yan, Qiran Gong, Senzhang Wang, Lin Liu, Lihong Wang, Xiang Ren
2019 J jnl
Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model.
IEEE Trans. Intell. Transp. Syst.
Senzhang Wang, Xiaoming Zhang, Fengxiang Li, Philip S. Yu, Zhiqiu Huang
2019 J jnl
Enhancing stock market prediction with extended coupled hidden Markov model over multi-sourced data.
Knowl. Inf. Syst.
Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
2019 — conf
FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction.
PAKDD (1)
Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li
2019 B conf
GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction.
IJCNN
Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao
2019 J jnl
Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification.
CoRR
Hao Peng, Jianxin Li, Qiran Gong, Senzhang Wang, Lifang He, Bo Li, Lihong Wang, Philip S. Yu
2019 J jnl
Label Aware Graph Convolutional Network - Not All Edges Deserve Your Attention.
CoRR
Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li
2019 A conf
Multi-Hot Compact Network Embedding.
CIKM
Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li
2019 J jnl
Multi-Hot Compact Network Embedding.
CoRR
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Zhoujun Li
2019 J jnl
Mutual Clustering on Comparative Texts via Heterogeneous Information Networks.
CoRR
Jianping Cao, Senzhang Wang, Danyan Wen, Zhaohui Peng, Philip S. Yu, Fei-Yue Wang
2019 A conf
Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang
2019 — conf
Predicting Scientific Impact via Heterogeneous Academic Network Embedding.
PRICAI (2)
Chunjing Xiao, Jianing Han, Wei Fan, Senzhang Wang, Rui Huang, Yuxiang Zhang
2019 J jnl
Sentiment analysis of social images via hierarchical deep fusion of content and links.
Appl. Soft Comput.
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
2019 — conf
Understanding Information Diffusion via Heterogeneous Information Network Embeddings.
DASFAA (1)
Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu
2019 J jnl
Visual-textual sentiment classification with bi-directional multi-level attention networks.
Knowl. Based Syst.
Jie Xu, Feiran Huang, Xiaoming Zhang, Senzhang Wang, Chaozhuo Li, Zhoujun Li, Yueying He
2018 A* conf
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks.
IJCAI
Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song
2018 J jnl
Classify social image by integrating multi-modal content.
Multim. Tools Appl.
Xiaoming Zhang, Xu Zhang, Xiong Li, Zhoujun Li, Senzhang Wang
2018 — conf
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping.
DASFAA (1)
Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong
2018 J jnl
Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping.
CoRR
Xinghua Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Wenjing Fu, Xiaoguang Hong
2018 A conf
Distribution Distance Minimization for Unsupervised User Identity Linkage.
CIKM
Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang
2018 J jnl
Enhancing Stock Market Prediction with Extended Coupled Hidden Markov Model over Multi-Sourced Data.
CoRR
Xi Zhang, Yixuan Li, Senzhang Wang, Binxing Fang, Philip S. Yu
2018 A* conf
Ensemble Neural Relation Extraction with Adaptive Boosting.
IJCAI
Dongdong Yang, Senzhang Wang, Zhoujun Li
2018 J jnl
Ensemble Neural Relation Extraction with Adaptive Boosting.
CoRR
Dongdong Yang, Senzhang Wang, Zhoujun Li
2018 J jnl
Exploit latent Dirichlet allocation for collaborative filtering.
Frontiers Comput. Sci.
Zhoujun Li, Haijun Zhang, Senzhang Wang, Feiran Huang, Zhenping Li, Jianshe Zhou
2018 J jnl
Forecasting Citywide Traffic Congestion Based on Social Media.
Wirel. Pers. Commun.
Dayong Shen, Longfei Zhang, Jianping Cao, Senzhang Wang
2018 J jnl
Improving Stock Market Prediction via Heterogeneous Information Fusion.
CoRR
Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
2018 J jnl
Improving failures prediction by exploring weighted shape-based time-series clustering.
Qual. Reliab. Eng. Int.
Xin Wang, Ji Wu, Chao Liu, Senzhang Wang, Tingshu Wang, Wensheng Niu
2018 J jnl
Improving stock market prediction via heterogeneous information fusion.
Knowl. Based Syst.
Xi Zhang, Yunjia Zhang, Senzhang Wang, Yuntao Yao, Binxing Fang, Philip S. Yu
2018 J jnl
Landmark Image Retrieval by Jointing Feature Refinement and Multimodal Classifier Learning.
IEEE Trans. Cybern.
Xiaoming Zhang, Senzhang Wang, Zhoujun Li, Shuai Ma
2018 A* conf
SSDMV: Semi-Supervised Deep Social Spammer Detection by Multi-view Data Fusion.
ICDM
Chaozhuo Li, Senzhang Wang, Lifang He, Philip S. Yu, Yanbo Liang, Zhoujun Li
2018 A* conf
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network.
IJCAI
Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang
2018 J jnl
Unsupervised geographically discriminative feature learning for landmark tagging.
Knowl. Based Syst.
Xiaoming Zhang, Zhonghua Zhao, Haijun Zhang, Senzhang Wang, Zhoujun Li
2017 J jnl
Computing Urban Traffic Congestions by Incorporating Sparse GPS Probe Data and Social Media Data.
ACM Trans. Inf. Syst.
Senzhang Wang, Xiaoming Zhang, Jianping Cao, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang
2017 A conf
Cross-program design space exploration by ensemble transfer learning.
ICCAD
Dandan Li, Shuzhen Yao, Senzhang Wang, Ying Wang
2017 — conf
DTRP: A Flexible Deep Framework for Travel Route Planning.
WISE (1)
Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao
2017 J jnl
Detecting Communities on Topic of Transportation With Sparse Crowd Annotations.
IEEE Trans. Intell. Transp. Syst.
Jianping Cao, Senzhang Wang, Hui Wang
2017 A conf
From Properties to Links: Deep Network Embedding on Incomplete Graphs.
CIKM
Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li
2017 C conf
Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks.
CSCWD
Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong
2017 — conf
PPNE: Property Preserving Network Embedding.
DASFAA (1)
Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou
2017 — conf
Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization.
DASFAA (1)
Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu
2017 — conf
Semi-Supervised Network Embedding.
DASFAA (1)
Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou
2016 J jnl
A Hybrid Model Based on Singular Spectrum Analysis and Support Vector Machines Regression for Failure Time Series Prediction.
Qual. Reliab. Eng. Int.
Xin Wang, Ji Wu, Chao Liu, Senzhang Wang, Wensheng Niu
2016 A* conf
Aggregating Inter-Sentence Information to Enhance Relation Extraction.
AAAI
Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou
2016 J jnl
CPB: a classification-based approach for burst time prediction in cascades.
Knowl. Inf. Syst.
Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li, Biao Wang
2016 J jnl
Clustering Embedded Approaches for Efficient Information Network Inference.
Data Sci. Eng.
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2016 J jnl
Coranking the Future Influence of Multiobjects in Bibliographic Network Through Mutual Reinforcement.
ACM Trans. Intell. Syst. Technol.
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Yueying He
2016 Misc conf
Efficient design space exploration by knowledge transfer.
CODES+ISSS
Dandan Li, Senzhang Wang, Shuzhen Yao, Yuhang Liu, Yuanqi Cheng, Xian-He Sun
2016 A* conf
Efficient design space exploration via statistical sampling and AdaBoost learning.
DAC
Dandan Li, Shuzhen Yao, Yuhang Liu, Senzhang Wang, Xian-He Sun
2016 — conf
Enhancing Traffic Congestion Estimation with Social Media by Coupled Hidden Markov Model.
ECML/PKDD (2)
Senzhang Wang, Fengxiang Li, Leon Stenneth, Philip S. Yu
2016 B conf
Estimating Urban Traffic Congestions with Multi-sourced Data.
MDM
Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang
2016 J jnl
Geographical Topics Learning of Geo-Tagged Social Images.
IEEE Trans. Cybern.
Xiaoming Zhang, Shufan Ji, Senzhang Wang, Zhoujun Li, Xueqiang Lv
2016 J jnl
Intertwined Viral Marketing through Online Social Networks.
CoRR
Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016 B conf
Intertwined viral marketing in social networks.
ASONAM
Jiawei Zhang, Senzhang Wang, Qianyi Zhan, Philip S. Yu
2016 J jnl
Learning Geographical Hierarchy Features via a Compositional Model.
IEEE Trans. Multim.
Xiaoming Zhang, Xia Hu, Senzhang Wang, Yang Yang, Zhoujun Li, Jianshe Zhou
2016 — ch.
Social influence analysis in the big data era: a review.
Big Data over Networks
Jianping Cao, Dongliang Duan, Liuqing Yang, Qingpeng Zhang, Senzhang Wang, Feiyue Wang
2016 — conf
User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations.
PAKDD (1)
Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu
2015 A* conf
Burst Time Prediction in Cascades.
AAAI
Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li
2015 A conf
CENI: A Hybrid Framework for Efficiently Inferring Information Networks.
ICWSM
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015 J jnl
CENI: a Hybrid Framework for Efficiently Inferring Information Networks.
CoRR
Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu
2015 — conf
Citywide traffic congestion estimation with social media.
SIGSPATIAL/GIS
Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li
2015 J jnl
Event detection and popularity prediction in microblogging.
Neurocomputing
Xiaoming Zhang, Xiaoming Chen, Yan Chen, Senzhang Wang, Zhoujun Li, Jiali Xia
2015 J jnl
Exploiting social circle broadness for influential spreaders identification in social networks.
World Wide Web
Senzhang Wang, Fang Wang, Yan Chen, Chunyang Liu, Zhoujun Li, Xiaoming Zhang
2015 — conf
Inferring Diffusion Networks with Sparse Cascades by Structure Transfer.
DASFAA (1)
Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li
2015 — conf
Influence Maximization Across Partially Aligned Heterogenous Social Networks.
PAKDD (1)
Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie
2015 B conf
Location Prediction of Social Images via Generative Model.
ICMR
Xiaoming Zhang, Zhoujun Li, Senzhang Wang, Yang Yang, Xueqiang Lv
2015 J jnl
Location Prediction of Social Images via Generative Model.
CoRR
Xiaoming Zhang, Zhoujun Li, Senzhang Wang, Yang Yang, Xueqiang Lv
2015 Misc conf
PNA: Partial Network Alignment with Generic Stable Matching.
IRI
Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2015 J jnl
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching.
CoRR
Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu
2015 — conf
Relevance Search on Signed Heterogeneous Information Network Based on Meta-path Factorization.
WAIM
Min Zhu, Tianchen Zhu, Zhaohui Peng, Guang Yang, Yang Xu, Senzhang Wang, Xiangwei Wang, Xiaoguang Hong
2015 — conf
cluTM: Content and Link Integrated Topic Model on Heterogeneous Information Networks.
WAIM
Qian Wang, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Qingzhong Li, Xiaoguang Hong
2014 A conf
Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering.
CIKM
Haijun Zhang, Zhoujun Li, Yan Chen, Xiaoming Zhang, Senzhang Wang
2014 B conf
Exploiting Description Knowledge for Keyphrase Extraction.
PRICAI
Fang Wang, Zhongyuan Wang, Senzhang Wang, Zhoujun Li
2014 A conf
Future Influence Ranking of Scientific Literature.
SDM
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014 J jnl
Future Influence Ranking of Scientific Literature.
CoRR
Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu
2014 A* conf
MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades.
KDD
Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li
2014 J jnl
Training data reduction to speed up SVM training.
Appl. Intell.
Senzhang Wang, Zhoujun Li, Chunyang Liu, Xiaoming Zhang, Haijun Zhang
2013 — conf
Negative Influence Minimizing by Blocking Nodes in Social Networks.
AAAI (Late-Breaking Developments)
Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia
2012 B conf
Applying adaptive over-sampling technique based on data density and cost-sensitive SVM to imbalanced learning.
IJCNN
Senzhang Wang, Zhoujun Li, Wen-Han Chao, Qinghua Cao
2012 B conf
Bootstrap Sampling Based Data Cleaning and Maximum Entropy SVMs for Large Datasets.
ICTAI
Senzhang Wang, Zhoujun Li, Xiaoming Zhang
2012 — conf
Who are More Influential Spreaders? Users with Broader Social Circle or with More Friends?
CGC
Senzhang Wang, Fang Wang, Zhoujun Li, Xiaoming Zhang