| 2026 | AAAI | DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation. | Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ye Ji, Kaimin Wei, Zhenye Yang |
| 2026 | WWW | Same Last-Item Confusion Unveiled: A Unified Mitigation Framework for Graph Learning in Session-Based Recommendation. | Jinpeng Chen, Jianxiang He, Yuan Cao, Huan Li, Zhenye Yang, Kaimin Wei, Xiongnan Jin, Senzhang Wang, Weiping Tu |
| 2025 | AAAI | Beyond Text: Fine-Grained Multi-Modal Fact Verification with Hypergraph Transformers. | Hui Pang, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | AAAI | C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction. | Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang |
| 2025 | AAAI | FairTP: A Prolonged Fairness Framework for Traffic Prediction. | Jiangnan Xia, Yu Yang, Jiaxing Shen, Senzhang Wang, Jiannong Cao |
| 2025 | AAAI | MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning. | Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang |
| 2025 | AAAI | Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training. | Wenting Zhu, Chaozhuo Li, Litian Zhang, Senzhang Wang, Xi Zhang |
| 2025 | CIKM | Mixture of Semantic and Spatial Experts for Explainable Traffic Prediction. | Yang Hu, Shaobo Li, Dawen Xia, Zhiheng Zhou, Wenyong Zhang, Huaqing Li, Xingxing Zhang, Senzhang Wang |
| 2025 | CIKM | STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation. | Zhenye Yang, Jinpeng Chen, Huan Li, Xiongnan Jin, Xuanyang Li, Junwei Zhang, Hongbo Gao, Kaimin Wei, Senzhang Wang |
| 2025 | CIKM | Temporal Blocks with Memory Replay for Dynamic Graph Representation Learning. | Zhigang Yu, Hao Yan, Ruochen Liu, Xianghan Wang, Haijun Zhang, Senzhang Wang |
| 2025 | ICASSP | Physically Robust and Imperceptible Adversarial Examples Generation Based on Frequency. | Chengyao Hua, Yitian Chen, Shigeng Zhang, Xuan Liu, Senzhang Wang, Weiping Wang, Kai Chen |
| 2025 | IJCAI | STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. | Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu |
| 2025 | KDD | When Graph Meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graph Learning. | Hao Yan, Chaozhuo Li, Jun Yin, Zhigang Yu, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Senzhang Wang |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | 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 | SIGIR | Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation. | Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji |
| 2025 | WSDM | MoKGNN: Boosting Graph Neural Networks via Mixture of Generic and Task-Specific Language Models. | Hao Yan, Chaozhuo Li, Jun Yin, Weihao Han, Hao Sun, Senzhang Wang, Jian Zhang, Jianxin Wang |
| 2025 | WSDM | Large Language Model Simulator for Cold-Start Recommendation. | Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu |
| 2025 | WSDM | Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. | Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian |
| 2024 | CIKM | FGITrans: Cross-City Transformer for Fine-grained Urban Flow Inference. | Yuhao Zheng, Yishuo Cai, Zihao Cai, Changjun Fan, Senzhang Wang, Jianxin Wang |
| 2024 | CIKM | AdaTM: Fine-grained Urban Flow Inference with Adaptive Knowledge Transfer across Multiple Cities. | Yuhao Zheng, Jinyang Wu, Zihao Cai, Senzhang Wang, Jianxin Wang |
| 2024 | DASFAA | STS2ANet: Spatio-Temporal Synchronized Sliding Attention Network for Accurate Cross-Day Origin-Destination Prediction. | Haoli Wang, Jiangnan Xia, Yu Yang, Senzhang Wang, Jiannong Cao |
| 2024 | IJCAI | Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation. | Shunyang Zhang, Senzhang Wang, Hao Miao, Hao Chen, Changjun Fan, Jian Zhang |
| 2024 | IJCAI | SaSDim: Self-Adaptive Noise Scaling Diffusion Model for Spatial Time Series Imputation. | Shunyang Zhang, Senzhang Wang, Xianzhen Tan, Renzhi Wang, Ruochen Liu, Jian Zhang, Jianxin Wang |
| 2024 | KDD | PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection. | Ronghui Xu, Hao Miao, Senzhang Wang, Philip S. Yu, Jianxin Wang |
| 2024 | KDD | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | WWW | 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 |
| 2024 | WWW | 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 |
| 2024 | SIGIR | TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Chaozhuo Li, Senzhang Wang, Feiran Huang, Sunghun Kim |
| 2024 | SIGIR | GPT4Rec: Graph Prompt Tuning for Streaming Recommendation. | Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim |
| 2024 | WSDM | 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 |
| 2023 | AAAI | WSiP: Wave Superposition Inspired Pooling for Dynamic Interactions-Aware Trajectory Prediction. | Renzhi Wang, Senzhang Wang, Hao Yan, Xiang Wang |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | KDD | 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 |
| 2023 | SIGIR | 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, Qi Zhang |
| 2023 | SIGIR | Continual Learning on Dynamic Graphs via Parameter Isolation. | Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim |
| 2023 | SIGIR | 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, Jibing Gong |
| 2023 | SDM | Adversarial Hard Negative Generation for Complementary Graph Contrastive Learning. | Senzhang Wang, Hao Yan, Jinlong Du, Jun Yin, Junxing Zhu, Chaozhuo Li, Jianxin Wang |
| 2022 | CIKM | ITSM-GCN: Informative Training Sample Mining for Graph Convolutional Network-based Collaborative Filtering. | Kaiqi Gong, Xiao Song, Senzhang Wang, Songsong Liu, Yong Li |
| 2022 | CIKM | Generative-Free Urban Flow Imputation. | Senzhang Wang, Jiyue Li, Hao Miao, Junbo Zhang, Junxing Zhu, Jianxin Wang |
| 2022 | ICLR | 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 |
| 2022 | ICML | 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 |
| 2022 | IJCAI | Reconstruction Enhanced Multi-View Contrastive Learning for Anomaly Detection on Attributed Networks. | Jiaqiang Zhang, Senzhang Wang, Songcan Chen |
| 2022 | UIC | Physics-Based Spatio-Temporal Modeling With Machine Learning for the Prediction of Oceanic Internal Waves. | Song Wu, Xiaojiang Zhang, Wei Dong, Senzhang Wang, Xiaoyong Li, Senliang Bao, Kai Li |
| 2022 | WSDM | 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 |
| 2022 | WSDM | Personalized Long-distance Fuel-efficient Route Recommendation Through Historical Trajectories Mining. | Zhan Wang, Zhaohui Peng, Senzhang Wang, Qiao Song |
| 2021 | AAAI | Adversarial Directed Graph Embedding. | Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He |
| 2021 | CIKM | Hubness-aware User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Feiran Huang, Jie Xu, Philip S. Yu |
| 2021 | DASFAA | MISS: A Multi-user Identification Network for Shared-Account Session-Aware Recommendation. | Xinyu Wen, Zhaohui Peng, Shanshan Huang, Senzhang Wang, Philip S. Yu |
| 2021 | DASFAA | 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 |
| 2021 | ICDM | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | IJCAI | Multi-Channel Pooling Graph Neural Networks. | Jinlong Du, Senzhang Wang, Hao Miao, Jiaqiang Zhang |
| 2021 | MDM | 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 |
| 2021 | SDM | 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 |
| 2021 | SDM | MT-STNets: Multi-Task Spatial-Temporal Networks for Multi-Scale Traffic Prediction. | Senzhang Wang, Meiyue Zhang, Hao Miao, Philip S. Yu |
| 2020 | AAAI | Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. | Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He |
| 2020 | ADMA | Recursive RNN Based Shift Representation Learning for Dynamic User-Item Interaction Prediction. | Chengyu Yin, Senzhang Wang, Jinlong Du, Meiyue Zhang |
| 2020 | APWEB | SSMDL: Semi-supervised Multi-task Deep Learning for Transportation Mode Classification and Path Prediction with GPS Trajectories. | Asif Nawaz, Zhiqiu Huang, Senzhang Wang |
| 2020 | CIKM | Label-Aware Graph Convolutional Networks. | Hao Chen, Yue Xu, Feiran Huang, Zengde Deng, Wenbing Huang, Senzhang Wang, Peng He, Zhoujun Li |
| 2020 | CIKM | Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction. | Senzhang Wang, Hao Miao, Hao Chen, Zhiqiu Huang |
| 2020 | DASFAA | Heterogeneous Graph Embedding for Cross-Domain Recommendation Through Adversarial Learning. | Jin Li, Zhaohui Peng, Senzhang Wang, Xiaokang Xu, Philip S. Yu, Zhenyun Hao |
| 2020 | ICDM | 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, Lifang He |
| 2020 | LREC | Decode with Template: Content Preserving Sentiment Transfer. | Zhiyuan Wen, Jiannong Cao, Ruosong Yang, Senzhang Wang |
| 2019 | AAAI | Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems. | Wenjing Fu, Zhaohui Peng, Senzhang Wang, Yang Xu, Jin Li |
| 2019 | AAAI | Adversarial Learning for Weakly-Supervised Social Network Alignment. | Chaozhuo Li, Senzhang Wang, Yukun Wang, Philip S. Yu, Yanbo Liang, Yun Liu, Zhoujun Li |
| 2019 | CIKM | Partially Shared Adversarial Learning For Semi-supervised Multi-platform User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Hao Wang, Yanbo Liang, Philip S. Yu, Zhoujun Li, Wei Wang |
| 2019 | CIKM | Multi-Hot Compact Network Embedding. | Chaozhuo Li, Lei Zheng, Senzhang Wang, Feiran Huang, Philip S. Yu, Zhoujun Li |
| 2019 | DASFAA | Understanding Information Diffusion via Heterogeneous Information Network Embeddings. | Yuan Su, Xi Zhang, Senzhang Wang, Binxing Fang, Tianle Zhang, Philip S. Yu |
| 2019 | IJCAI | Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. | Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang |
| 2019 | IJCNN | GCGAN: Generative Adversarial Nets with Graph CNN for Network-Scale Traffic Prediction. | Yuxuan Zhang, Senzhang Wang, Bing Chen, Jiannong Cao |
| 2019 | PAKDD | FGST: Fine-Grained Spatial-Temporal Based Regression for Stationless Bike Traffic Prediction. | Hao Chen, Senzhang Wang, Zengde Deng, Xiaoming Zhang, Zhoujun Li |
| 2019 | PRICAI | Predicting Scientific Impact via Heterogeneous Academic Network Embedding. | Chunjing Xiao, Jianing Han, Wei Fan, Senzhang Wang, Rui Huang, Yuxiang Zhang |
| 2018 | CIKM | Distribution Distance Minimization for Unsupervised User Identity Linkage. | Chaozhuo Li, Senzhang Wang, Philip S. Yu, Lei Zheng, Xiaoming Zhang, Zhoujun Li, Yanbo Liang |
| 2018 | DASFAA | 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 |
| 2018 | ICDM | 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 |
| 2018 | IJCAI | Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks. | Xiaotian Han, Chuan Shi, Senzhang Wang, Philip S. Yu, Li Song |
| 2018 | IJCAI | Ensemble Neural Relation Extraction with Adaptive Boosting. | Dongdong Yang, Senzhang Wang, Zhoujun Li |
| 2018 | IJCAI | Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network. | Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang |
| 2017 | CIKM | From Properties to Links: Deep Network Embedding on Incomplete Graphs. | Dejian Yang, Senzhang Wang, Chaozhuo Li, Xiaoming Zhang, Zhoujun Li |
| 2017 | CSCWD | Measuring the relevance of different-typed objects in weighted signed heterogeneous information networks. | Tianchen Zhu, Zhaohui Peng, Senzhang Wang, Philip S. Yu, Xiaoguang Hong |
| 2017 | DASFAA | Semi-Supervised Network Embedding. | Chaozhuo Li, Zhoujun Li, Senzhang Wang, Yang Yang, Xiaoming Zhang, Jianshe Zhou |
| 2017 | DASFAA | PPNE: Property Preserving Network Embedding. | Chaozhuo Li, Senzhang Wang, Dejian Yang, Zhoujun Li, Yang Yang, Xiaoming Zhang, Jianshe Zhou |
| 2017 | DASFAA | Review-Based Cross-Domain Recommendation Through Joint Tensor Factorization. | Tianhang Song, Zhaohui Peng, Senzhang Wang, Wenjing Fu, Xiaoguang Hong, Philip S. Yu |
| 2017 | ICCAD | Cross-program design space exploration by ensemble transfer learning. | Dandan Li, Shuzhen Yao, Senzhang Wang, Ying Wang |
| 2017 | WISE | DTRP: A Flexible Deep Framework for Travel Route Planning. | Jie Xu, Chaozhuo Li, Senzhang Wang, Feiran Huang, Zhoujun Li, Yueying He, Zhonghua Zhao |
| 2016 | AAAI | Aggregating Inter-Sentence Information to Enhance Relation Extraction. | Hao Zheng, Zhoujun Li, Senzhang Wang, Zhao Yan, Jianshe Zhou |
| 2016 | DAC | Efficient design space exploration via statistical sampling and AdaBoost learning. | Dandan Li, Shuzhen Yao, Yuhang Liu, Senzhang Wang, Xian-He Sun |
| 2016 | MDM | Estimating Urban Traffic Congestions with Multi-sourced Data. | Senzhang Wang, Lifang He, Leon Stenneth, Philip S. Yu, Zhoujun Li, Zhiqiu Huang |
| 2016 | PAKDD | User-Guided Large Attributed Graph Clustering with Multiple Sparse Annotations. | Jianping Cao, Senzhang Wang, Fengcai Qiao, Hui Wang, Feiyue Wang, Philip S. Yu |
| 2015 | AAAI | Burst Time Prediction in Cascades. | Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li |
| 2015 | DASFAA | Inferring Diffusion Networks with Sparse Cascades by Structure Transfer. | Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu, Zhoujun Li |
| 2015 | IRI | PNA: Partial Network Alignment with Generic Stable Matching. | Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong, Philip S. Yu |
| 2015 | ICWSM | CENI: A Hybrid Framework for Efficiently Inferring Information Networks. | Qingbo Hu, Sihong Xie, Shuyang Lin, Senzhang Wang, Philip S. Yu |
| 2015 | PAKDD | Influence Maximization Across Partially Aligned Heterogenous Social Networks. | Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu, Junyuan Xie |
| 2014 | CIKM | Exploit Latent Dirichlet Allocation for One-Class Collaborative Filtering. | Haijun Zhang, Zhoujun Li, Yan Chen, Xiaoming Zhang, Senzhang Wang |
| 2014 | KDD | MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades. | Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li |
| 2014 | PRICAI | Exploiting Description Knowledge for Keyphrase Extraction. | Fang Wang, Zhongyuan Wang, Senzhang Wang, Zhoujun Li |
| 2014 | SDM | Future Influence Ranking of Scientific Literature. | Senzhang Wang, Sihong Xie, Xiaoming Zhang, Zhoujun Li, Philip S. Yu, Xinyu Shu |
| 2013 | AAAI | Negative Influence Minimizing by Blocking Nodes in Social Networks. | Senzhang Wang, Xiaojian Zhao, Yan Chen, Zhoujun Li, Kai Zhang, Jiali Xia |
| 2012 | IJCNN | 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 |
| 2012 | ICTAI | Bootstrap Sampling Based Data Cleaning and Maximum Entropy SVMs for Large Datasets. | Senzhang Wang, Zhoujun Li, Xiaoming Zhang |