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Hua-Wei Shen
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2020 – today
- 2022
[j20]Lei Lin
, Huawei Shen, Shenghua Liu, Easton Li Xu, Xueqi Cheng:
On the Cybernetics of Crowdsourcing Innovation: A Process Model. IEEE Access 10: 27255-27269 (2022)- [c79]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475 - [i49]Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Xueqi Cheng:
Twin Weisfeiler-Lehman: High Expressive GNNs for Graph Classification. CoRR abs/2203.11683 (2022) - [i48]Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng:
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning. CoRR abs/2204.02725 (2022) - [i47]Quan Ding, Shenghua Liu, Bin Zhou, Huawei Shen, Xueqi Cheng:
Multi-scale Anomaly Detection for Big Time Series of Industrial Sensors. CoRR abs/2204.08159 (2022) - [i46]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback. CoRR abs/2204.11545 (2022) - 2021
- [j19]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection. Future Gener. Comput. Syst. 115: 236-250 (2021) - [j18]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021) - [j17]Qi Cao, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning diffusion model-free and efficient influence function for influence maximization from information cascades. Knowl. Inf. Syst. 63(5): 1173-1196 (2021) - [j16]Chao Yang, Weixin Zhou, Zhiyu Wang, Bin Jiang, Dongsheng Li, Huawei Shen:
Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence. Knowl. Based Syst. 213: 106687 (2021) - [j15]Siying Li, Huawei Shen, Peng Bao, Xueqi Cheng:
hu-index: a unified index to quantify individuals across disciplines. Scientometrics 126(4): 3209-3226 (2021) - [j14]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. IEEE Trans. Knowl. Data Eng. 33(3): 1264-1275 (2021) - [c78]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. AAAI 2021: 196-203 - [c77]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. AAAI 2021: 3950-3957 - [c76]Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. AAAI 2021: 4537-4545 - [c75]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. AAAI 2021: 4653-4661 - [c74]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. AAAI 2021: 7746-7753 - [c73]Hao Gao, Yongqing Wang, Jiangli Shao, Huawei Shen, Xueqi Cheng:
UGCLink: User Identity Linkage by Modeling User Generated Contents with Knowledge Distillation. IEEE BigData 2021: 607-613 - [c72]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CIKM 2021: 740-749 - [c71]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CIKM 2021: 1794-1803 - [c70]Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Yangyang Li, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage. CIKM 2021: 3413-3417 - [c69]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. EMNLP (1) 2021: 2510-2521 - [c68]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. EMNLP (1) 2021: 3615-3626 - [c67]Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang:
Learning Content and Context with Language Bias for Visual Question Answering. ICME 2021: 1-6 - [c66]Chao Yang, Zhiyu Wang, Huawei Shen, Huizhou Li, Bin Jiang:
Multi-Modality Image Manipulation Detection. ICME 2021: 1-6 - [c65]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on the Waterdrop Fundraising. ICWSM 2021: 220-229 - [c64]Junjie Huang, Huawei Shen, Xueqi Cheng:
SIGNLENS: A Tool for Analyzing People's Polarization Social Relationship Based on Signed Graph Modeling. ICWSM 2021: 1091-1093 - [c63]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-Supervised GANs with Label Augmentation. NeurIPS 2021: 13019-13031 - [c62]Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. PAKDD (1) 2021: 78-90 - [c61]Ruizhuo Zhao, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Capturing SQL Query Overlapping via Subtree Copy for Cross-Domain Context-Dependent SQL Generation. PAKDD (2) 2021: 664-675 - [c60]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. PAKDD (2) 2021: 743-755 - [c59]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
DPGS: Degree-Preserving Graph Summarization. SDM 2021: 280-288 - [c58]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. SIGIR 2021: 408-417 - [c57]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Certifiable Robustness on Graphs. WSDM 2021: 698-706 - [i45]Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. CoRR abs/2101.00797 (2021) - [i44]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. CoRR abs/2101.02390 (2021) - [i43]Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. CoRR abs/2103.10600 (2021) - [i42]Xiaobing Sun, Jiabao Zhang, Qiming Zhao, Shenghua Liu, Jinglei Chen, Ruoyu Zhuang, Huawei Shen, Xueqi Cheng:
CubeFlow: Money Laundering Detection with Coupled Tensors. CoRR abs/2103.12411 (2021) - [i41]Jiangli Shao, Yongqing Wang, Hao Gao, Huawei Shen, Xueqi Cheng:
Locate Who You Are: Matching Geo-location to Text for Anchor Link Prediction. CoRR abs/2104.09119 (2021) - [i40]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. CoRR abs/2104.10353 (2021) - [i39]Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng:
Self-supervised GANs with Label Augmentation. CoRR abs/2106.08601 (2021) - [i38]Yunfan Wu, Qi Cao, Huawei Shen, Shuchang Tao, Xueqi Cheng:
Inductive Representation Based Graph Convolution Network for Collaborative Filtering. CoRR abs/2107.05247 (2021) - [i37]Liang Hou, Qi Cao, Huawei Shen, Xueqi Cheng:
cGANs with Auxiliary Discriminative Classifier. CoRR abs/2107.10060 (2021) - [i36]Qi Cao, Huawei Shen, Yuanhao Liu, Jinhua Gao, Xueqi Cheng:
Pre-training of Temporal Convolutional Neural Networks for Popularity Prediction. CoRR abs/2108.06220 (2021) - [i35]Junjie Huang, Huawei Shen, Qi Cao, Shuchang Tao, Xueqi Cheng:
Signed Bipartite Graph Neural Networks. CoRR abs/2108.09638 (2021) - [i34]Shuchang Tao, Qi Cao, Huawei Shen, Junjie Huang, Yunfan Wu, Xueqi Cheng:
Single Node Injection Attack against Graph Neural Networks. CoRR abs/2108.13049 (2021) - [i33]Yunchang Zhu, Liang Pang, Yanyan Lan, Huawei Shen, Xueqi Cheng:
Adaptive Information Seeking for Open-Domain Question Answering. CoRR abs/2109.06747 (2021) - [i32]Fei Xiao, Liang Pang, Yanyan Lan, Yan Wang, Huawei Shen, Xueqi Cheng:
Transductive Learning for Unsupervised Text Style Transfer. CoRR abs/2109.07812 (2021) - 2020
- [j13]Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen:
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access 8: 228598-228604 (2020) - [j12]Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Hua-Wei Shen, Tian-yang Lv, Xueqi Cheng, En-Hong Chen:
The Propagation Background in Social Networks: Simulating and Modeling. Int. J. Autom. Comput. 17(3): 353-363 (2020) - [c56]Rong Yan, Huawei Shen, Cao Qi, Keting Cen, Li Wang:
GraphWGAN: Graph Representation Learning with Wasserstein Generative Adversarial Networks. BigComp 2020: 315-322 - [c55]Liang Hou, Huawei Shen, Xueqi Cheng:
Dual Rejection Sampling for Wasserstein Auto-Encoders. ECAI 2020: 1190-1197 - [c54]Hao Gao, Yongqing Wang, Shanshan Lyu, Huawei Shen, Xueqi Cheng:
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction. ICKG 2020: 412-419 - [c53]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling Users' Multifaceted Interest Correlation for Social Recommendation. PAKDD (1) 2020: 118-129 - [c52]Hao Wang, Huawei Shen, Xueqi Cheng:
Modeling POI-Specific Spatial-Temporal Context for Point-of-Interest Recommendation. PAKDD (1) 2020: 130-141 - [c51]Wenjie Feng, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng:
SpecGreedy: Unified Dense Subgraph Detection. ECML/PKDD (1) 2020: 181-197 - [c50]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. SIGIR 2020: 1897-1900 - [c49]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks. WSDM 2020: 70-78 - [i31]Shuchang Tao, Huawei Shen, Qi Cao, Liang Hou, Xueqi Cheng:
Adversarial Immunization for Improving Certifiable Robustness on Graphs. CoRR abs/2007.09647 (2020) - [i30]Bingbing Xu, Junjie Huang, Liang Hou, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification. CoRR abs/2007.13435 (2020) - [i29]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. CoRR abs/2007.16002 (2020) - [i28]Houquan Zhou, Shenghua Liu, Kyuhan Lee, Kijung Shin, Huawei Shen, Xueqi Cheng:
Summarizing graphs using the configuration model. CoRR abs/2010.09175 (2020) - [i27]Junjie Huang, Huawei Shen, Qi Cao, Li Cai, Xueqi Cheng:
How Medical Crowdfunding Helps People? A Large-scale Case Study on Waterdrop Fundraising. CoRR abs/2011.13608 (2020) - [i26]Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. CoRR abs/2012.02006 (2020) - [i25]Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. CoRR abs/2012.05660 (2020) - [i24]Chao Yang, Guoqing Wang, Dongsheng Li, Huawei Shen, Su Feng, Bin Jiang:
PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension. CoRR abs/2012.10890 (2020) - [i23]Chao Yang, Su Feng, Dongsheng Li, Huawei Shen, Guoqing Wang, Bin Jiang:
Learning content and context with language bias for Visual Question Answering. CoRR abs/2012.11134 (2020)
2010 – 2019
- 2019
- [j11]Guoliang Xing, Hao Gao, Qi Cao, Xinyu Yue, Bingbing Xu, Keting Cen, Huawei Shen:
User Profiling for CSDN: Keyphrase Extraction, User Tagging and User Growth Value Prediction: First-place Entry for User Profiling Technology Evaluation Campaign in SMP Cup 2017. Data Intell. 1(2): 137-159 (2019) - [j10]Yahui Liu, Xiaolong Jin, Huawei Shen:
Towards early identification of online rumors based on long short-term memory networks. Inf. Process. Manag. 56(4): 1457-1467 (2019) - [j9]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Learning representations for quality estimation of crowdsourced submissions. Inf. Process. Manag. 56(4): 1484-1493 (2019) - [j8]Saiping Guan, Xiaolong Jin, Yuanzhuo Wang, Yantao Jia, Huawei Shen, Zixuan Li, Xueqi Cheng:
Self-learning and embedding based entity alignment. Knowl. Inf. Syst. 59(2): 361-386 (2019) - [j7]Shenghua Liu, Huawei Shen, Houdong Zheng, Xueqi Cheng, Xiangwen Liao:
CT LIS: Learning Influences and Susceptibilities through Temporal Behaviors. ACM Trans. Knowl. Discov. Data 13(6): 57:1-57:21 (2019) - [c48]Jiangli Shao, Huawei Shen, Qi Cao, Xueqi Cheng:
Temporal Convolutional Networks for Popularity Prediction of Messages on Social Medias. CCIR 2019: 135-147 - [c47]Huawei Shen, Jian Tang, Peng Bao:
GRLA 2019: The first International Workshop on Graph Representation Learning and its Applications. CIKM 2019: 2997-2998 - [c46]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. ICANN (Workshop) 2019: 566-577 - [c45]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. ICLR (Poster) 2019 - [c44]Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng:
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning. IJCAI 2019: 1928-1934 - [c43]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
Beyond Outliers and on to Micro-clusters: Vision-Guided Anomaly Detection. PAKDD (1) 2019: 541-554 - [c42]Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang:
Unified Collaborative Filtering over Graph Embeddings. SIGIR 2019: 155-164 - [c41]Shanshan Lyu, Wentao Ouyang, Yongqing Wang, Huawei Shen, Xueqi Cheng:
What We Vote for? Answer Selection from User Expertise View in Community Question Answering. WWW 2019: 1198-1209 - [c40]Yongqing Wang, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Learning Binary Hash Codes for Fast Anchor Link Retrieval across Networks. WWW 2019: 3335-3341 - [i22]Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, Xueqi Cheng:
Graph Wavelet Neural Network. CoRR abs/1904.07785 (2019) - [i21]Keting Cen, Huawei Shen, Jinhua Gao, Qi Cao, Bingbing Xu, Xueqi Cheng:
A Graph Auto-Encoder for Attributed Network Embedding. CoRR abs/1906.08745 (2019) - [i20]Qi Cao, Huawei Shen, Jinhua Gao, Bingzheng Wei, Xueqi Cheng:
Coupled Graph Neural Networks for Predicting the Popularity of Online Content. CoRR abs/1906.09032 (2019) - [i19]Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
Signed Graph Attention Networks. CoRR abs/1906.10958 (2019) - 2018
- [j6]Chengcheng Gou, Huawei Shen, Pan Du, Dayong Wu, Yue Liu, Xueqi Cheng:
Learning sequential features for cascade outbreak prediction. Knowl. Inf. Syst. 57(3): 721-739 (2018) - [c39]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
Towards Efficient Detection of Overlapping Communities in Massive Networks. AAAI 2018: 418-425 - [c38]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Finding High-Quality Unstructured Submissions in General Crowdsourcing Tasks. CCIR 2018: 198-210 - [c37]Hao Wang, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
ULE: Learning User and Location Embeddings for POI Recommendation. DSC 2018: 99-106 - [c36]Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng:
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation. IJCAI 2018: 3877-3883 - 2017
- [j5]Dingda Yang, Xiangwen Liao, Huawei Shen, Xueqi Cheng, Guolong Chen:
Relative influence maximization in competitive social networks. Sci. China Inf. Sci. 60(10): 108101:1-108101:3 (2017) - [j4]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo:
Fast density clustering strategies based on the k-means algorithm. Pattern Recognit. 71: 375-386 (2017) - [c35]Bing-Jie Sun, Huawei Shen, Jinhua Gao, Wentao Ouyang, Xueqi Cheng:
A Non-negative Symmetric Encoder-Decoder Approach for Community Detection. CIKM 2017: 597-606 - [c34]Qi Cao, Huawei Shen, Keting Cen, Wentao Ouyang, Xueqi Cheng:
DeepHawkes: Bridging the Gap between Prediction and Understanding of Information Cascades. CIKM 2017: 1149-1158 - [c33]Shanshan Lyu, Wentao Ouyang, Huawei Shen, Xueqi Cheng:
Truth Discovery by Claim and Source Embedding. CIKM 2017: 2183-2186 - [c32]Saiping Guan, Xiaolong Jin, Yantao Jia, Yuanzhuo Wang, Huawei Shen, Xueqi Cheng:
Self-Learning and Embedding Based Entity Alignment. ICBK 2017: 33-40 - [c31]Shenghua Liu, Houdong Zheng, Huawei Shen, Xueqi Cheng, Xiangwen Liao:
Learning Concise Representations of Users' Influences through Online Behaviors. IJCAI 2017: 2351-2357 - [c30]Tong Man, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Cross-Domain Recommendation: An Embedding and Mapping Approach. IJCAI 2017: 2464-2470 - [c29]Yongqing Wang, Huawei Shen, Shenghua Liu, Jinhua Gao, Xueqi Cheng:
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network. IJCAI 2017: 2985-2991 - [c28]Yahui Liu, Xiaolong Jin, Huawei Shen, Xueqi Cheng:
Do Rumors Diffuse Differently from Non-rumors? A Systematically Empirical Analysis in Sina Weibo for Rumor Identification. PAKDD (1) 2017: 407-420 - [c27]Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng:
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network. PAKDD (1) 2017: 786-798 - [c26]Qi Cao, Huawei Shen, Hao Gao, Jinhua Gao, Xueqi Cheng:
Predicting the Popularity of Online Content with Group-specific Models. WWW (Companion Volume) 2017: 765-766 - [e2]Xueqi Cheng, Wei-Ying Ma, Huan Liu, Huawei Shen, Shizheng Feng, Xing Xie:
Social Media Processing - 6th National Conference, SMP 2017, Beijing, China, September 14-17, 2017, Proceedings. Communications in Computer and Information Science 774, Springer 2017, ISBN 978-981-10-6804-1 [contents] - [i18]Yongqing Wang, Shenghua Liu, Huawei Shen, Xueqi Cheng:
Marked Temporal Dynamics Modeling based on Recurrent Neural Network. CoRR abs/1701.03918 (2017) - [i17]Wenjie Feng, Shenghua Liu, Christos Faloutsos, Bryan Hooi, Huawei Shen, Xueqi Cheng:
EagleMine: Vision-Guided Mining in Large Graphs. CoRR abs/1710.08756 (2017) - 2016
- [j3]Hao Wang, Huawei Shen, Xueqi Cheng:
Scientific credit diffusion: Researcher level or paper level? Scientometrics 109(2): 827-837 (2016) - [j2]Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen:
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. IEEE Trans. Knowl. Data Eng. 28(11): 2871-2883 (2016) - [c25]Tong Man, Huawei Shen, Shenghua Liu, Xiaolong Jin, Xueqi Cheng:
Predict Anchor Links across Social Networks via an Embedding Approach. IJCAI 2016: 1823-1829 - [c24]Wei Liu, Huawei Shen, Wentao Ouyang, Ge Fu, Li Zha, Xueqi Cheng:
Learning Cost-Effective Social Embedding for Cascade Prediction. SMP 2016: 1-13 - [c23]Jinhua Gao, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Modeling and Predicting Retweeting Dynamics via a Mixture Process. WWW (Companion Volume) 2016: 33-34 - [i16]Shenghua Liu, Houdong Zheng, Huawei Shen, Xiangwen Liao, Xueqi Cheng:
Learning Sentimental Influences from Users' Behaviors. CoRR abs/1608.03371 (2016) - 2015
- [c22]Yongqing Wang, Huawei Shen, Shenghua Liu, Xueqi Cheng:
Learning User-Specific Latent Influence and Susceptibility from Information Cascades. AAAI 2015: 477-484 - [c21]Tong Man, Huawei Shen, Junming Huang, Xueqi Cheng:
Context-Adaptive Matrix Factorization for Multi-Context Recommendation. CIKM 2015: 901-910 - [c20]Bing-Jie Sun, Huawei Shen, Xueqi Cheng:
Improve Network Clustering via Diversified Ranking. CSoNet 2015: 104-115 - [c19]Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. WWW (Companion Volume) 2015: 9-10 - [e1]My T. Thai, Nam P. Nguyen, Huawei Shen:
Computational Social Networks - 4th International Conference, CSoNet 2015, Beijing, China, August 4-6, 2015, Proceedings. Lecture Notes in Computer Science 9197, Springer 2015, ISBN 978-3-319-21785-7 [contents] - [i15]Peng Bao, Huawei Shen, Xiaolong Jin, Xueqi Cheng:
Modeling and Predicting Popularity Dynamics of Microblogs using Self-Excited Hawkes Processes. CoRR abs/1503.02754 (2015) - 2014
- [c18]Hua-Wei Shen, Dashun Wang, Chaoming Song, Albert-László Barabási:
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. AAAI 2014: 291-297 - [c17]Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng:
IMRank: influence maximization via finding self-consistent ranking. SIGIR 2014: 475-484 - [i14]Hua-Wei Shen, Dashun Wang, Chaoming Song, Albert-László Barabási:
Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes. CoRR abs/1401.0778 (2014) - [i13]Suqi Cheng, Huawei Shen, Junming Huang, Wei Chen, Xueqi Cheng:
IMRank: Influence Maximization via Finding Self-Consistent Ranking. CoRR abs/1402.3939 (2014) - [i12]Hua-Wei Shen, Albert-László Barabási:
Collective credit allocation in science. CoRR abs/1408.3455 (2014) - [i11]Peng Bao, Huawei Shen, Xueqi Cheng:
Prediction of "Forwarding Whom" Behavior in Information Diffusion. CoRR abs/1410.7143 (2014) - 2013
- [b1]Hua-Wei Shen:
Community structure of complex networks. Springer 2013, ISBN 978-3-642-31820-7, pp. 1-117 - [c16]