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Semantic ScholarQiang Yang 0001
楊強
Person information
- unicode name: 楊強
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science, Kowloon, Hong Kong
- affiliation (former): Simon Fraser University, Burnaby, BC, Canada
- affiliation (former): University of Waterloo, Waterloo, Ontario, Canada
Other persons with the same name
- Qiang Yang
- Qiang Yang 0002 — Shandong University of Science and Technology, China
- Qiang Yang 0003 — Harbin Institute of Technology, China
- Qiang Yang 0004
![[0000-0002-0761-4692]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0761-4692")
— Zhejiang University, College of Electrical Engineering, Hangzhou, China (and 4 more) - Qiang Yang 0005 — Jilin University, Changchun Jilin, China
- Qiang Yang 0006 — University of Amsterdam, The Netherlands
- Qiang Yang 0007 — Yangtze University, College of Computer Science, JingZhou, China
- Qiang Yang 0008 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China (and 1 more)
- Qiang Yang 0009 — Tsinghua University, State Key Laboratory of Hydroscience and Hydraulic Engineering, Beijing, China
- Qiang Yang 0010 — Sun Yat-sen University, School of Information Science and Technology, China
- Qiang Yang 0011 — University of Manchester, UK
- Qiang Yang 0012 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, China
- Qiang Yang 0013 — Huazhong University of Science and Technology (HUST), Wuhan, China
- Qiang Yang 0014 — Northeastern University, Shenyang, China
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2010 – 2019
- 2019
[j150]Leye Wang, Xu Geng, Xiaojuan Ma, Daqing Zhang, Qiang Yang:
Ridesharing car detection by transfer learning. Artif. Intell. 273: 1-18 (2019)- [j149]Qiang Yang, Yan-Lai Li, Kwai-Sang Chin:
Constructing Novel Operational Laws and Information Measures for Proportional Hesitant Fuzzy Linguistic Term Sets with Extension to PHFL-VIKOR for Group Decision Making. Int. J. Comput. Intell. Syst. 12(2): 998-1018 (2019) - [j148]Jesse Read, Albert Bifet, Wei Fan, Qiang Yang, Philip S. Yu:
Introduction to the special issue on Big Data, IoT Streams and Heterogeneous Source Mining. Int. J. Data Sci. Anal. 8(3): 221-222 (2019) - [j147]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: a hint-guided approach for crowdsourcing. Machine Learning 108(5): 831-858 (2019) - [j146]Qiang Yang:
State of the Journal. IEEE Trans. Big Data 5(1): 1 (2019) - [j145]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. ACM TIST 10(2): 12:1-12:19 (2019) - [j144]Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming:
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 37(1): 10:1-10:20 (2019) - [c292]Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai:
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion. AAAI 2019: 3846-3853 - [c291]Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR 2019: 2927-2936 - [c290]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CVPR 2019: 2985-2994 - [c289]Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang:
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) 2019: 4589-4599 - [c288]Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction. IJCAI 2019: 4114-4120 - [c287]Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang:
Multi-Agent Visualization for Explaining Federated Learning. IJCAI 2019: 6572-6574 - [c286]Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng:
Fair and Explainable Dynamic Engagement of Crowd Workers. IJCAI 2019: 6575-6577 - [c285]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. KDD 2019: 235-245 - [c284]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. KDD 2019: 1936-1945 - [c283]Yinghua Zhang, Yu Zhang, Qiang Yang:
Parameter Transfer Unit for Deep Neural Networks. PAKDD (2) 2019: 82-95 - [c282]George Trimponias, Xiaojuan Ma, Qiang Yang:
Rating Worker Skills and Task Strains in Collaborative Crowd Computing: A Competitive Perspective. WWW 2019: 1853-1863 - [c281]Guangneng Hu, Yu Zhang, Qiang Yang:
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. WWW 2019: 2822-2829 - [e19]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11439, Springer 2019, ISBN 978-3-030-16147-7 [contents] - [e18]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11440, Springer 2019, ISBN 978-3-030-16144-6 [contents] - [e17]Qiang Yang, Zhi-Hua Zhou, Zhiguo Gong, Min-Ling Zhang, Sheng-Jun Huang:
Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11441, Springer 2019, ISBN 978-3-030-16141-5 [contents] - [i38]Guangneng Hu, Yu Zhang, Qiang Yang:
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text. CoRR abs/1901.07199 (2019) - [i37]Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, Yufeng Lin:
Federated Reinforcement Learning. CoRR abs/1901.08277 (2019) - [i36]Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Qiang Yang:
SecureBoost: A Lossless Federated Learning Framework. CoRR abs/1901.08755 (2019) - [i35]Qiang Yang, Yang Liu, Tianjian Chen, Yongxin Tong:
Federated Machine Learning: Concept and Applications. CoRR abs/1902.04885 (2019) - [i34]Hugo Jair Escalante, Wei-Wei Tu, Isabelle Guyon, Daniel L. Silver, Evelyne Viegas, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
AutoML @ NeurIPS 2018 challenge: Design and Results. CoRR abs/1903.05263 (2019) - [i33]Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang:
Learning to Transfer Examples for Partial Domain Adaptation. CoRR abs/1903.12230 (2019) - [i32]Jindong Wang, Yiqiang Chen, Han Yu, Meiyu Huang, Qiang Yang:
Easy Transfer Learning By Exploiting Intra-domain Structures. CoRR abs/1904.01376 (2019) - [i31]Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai:
AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications. CoRR abs/1904.12857 (2019) - [i30]Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, Qiang Yang:
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. CoRR abs/1905.11900 (2019) - [i29]Dashan Gao, Ce Ju, Xiguang Wei, Yang Liu, Tianjian Chen, Qiang Yang:
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalography. CoRR abs/1909.05784 (2019) - [i28]Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao:
Federated Learning in Mobile Edge Networks: A Comprehensive Survey. CoRR abs/1909.11875 (2019) - [i27]Xinle Liang, Yang Liu, Tianjian Chen, Ming Liu, Qiang Yang:
Federated Transfer Reinforcement Learning for Autonomous Driving. CoRR abs/1910.06001 (2019) - [i26]Kai Yang, Tao Fan, Tianjian Chen, Yuanming Shi, Qiang Yang:
A Quasi-Newton Method Based Vertical Federated Learning Framework for Logistic Regression. CoRR abs/1912.00513 (2019) - 2018
- [j143]Leye Wang, Bin Guo, Qiang Yang:
Smart City Development With Urban Transfer Learning. IEEE Computer 51(12): 32-41 (2018) - [j142]Qiang Yang:
State of the Journal Editorial. IEEE Trans. Big Data 4(1): 1 (2018) - [c280]Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang:
Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI 2018: 3619-3626 - [c279]Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang:
Personalizing a Dialogue System With Transfer Reinforcement Learning. AAAI 2018: 5317-5324 - [c278]Zheng Li, Ying Wei, Yu Zhang, Qiang Yang:
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI 2018: 5852-5859 - [c277]Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang:
SmartHS: An AI Platform for Improving Government Service Provision. AAAI 2018: 7704-7712 - [c276]Han Yu, Chunyan Miao, Lizhen Cui, Yiqiang Chen, Simon Fauvel, Qiang Yang:
Opportunistic Work-Rest Scheduling for Productive Aging. HCI (14) 2018: 413-428 - [c275]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. IJCAI 2018: 5527-5533 - [c274]Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang:
Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. WWW 2018: 1063-1072 - [i25]Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang:
Crowd Flow Prediction by Deep Spatio-Temporal Transfer Learning. CoRR abs/1802.00386 (2018) - [i24]Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama:
Millionaire: A Hint-guided Approach for Crowdsourcing. CoRR abs/1802.09172 (2018) - [i23]Yinghua Zhang, Yu Zhang, Qiang Yang:
Parameter Transfer Unit for Deep Neural Networks. CoRR abs/1804.08613 (2018) - [i22]Di Chai, Leye Wang, Qiang Yang:
Bike Flow Prediction with Multi-Graph Convolutional Networks. CoRR abs/1807.10934 (2018) - [i21]Leye Wang, Bin Guo, Qiang Yang:
Smart City Development with Urban Transfer Learning. CoRR abs/1808.01552 (2018) - [i20]Quanming Yao, Mengshuo Wang, Hugo Jair Escalante, Isabelle Guyon, Yi-Qi Hu, Yu-Feng Li, Wei-Wei Tu, Qiang Yang, Yang Yu:
Taking Human out of Learning Applications: A Survey on Automated Machine Learning. CoRR abs/1810.13306 (2018) - [i19]Xiawei Guo, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang:
Privacy-preserving Transfer Learning for Knowledge Sharing. CoRR abs/1811.09491 (2018) - [i18]Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang:
Building Ethics into Artificial Intelligence. CoRR abs/1812.02953 (2018) - [i17]Yang Liu, Tianjian Chen, Qiang Yang:
Secure Federated Transfer Learning. CoRR abs/1812.03337 (2018) - 2017
- [j141]Lili Zhao, Sinno Jialin Pan, Qiang Yang:
A unified framework of active transfer learning for cross-system recommendation. Artif. Intell. 245: 38-55 (2017) - [j140]Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch:
Big Data. IEEE Intelligent Systems 32(2): 7-8 (2017) - [j139]Qiang Yang:
State of the Journal Editorial. IEEE Trans. Big Data 3(1): 1 (2017) - [j138]Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming:
Transfer Learning for Behavior Ranking. ACM TIST 8(5): 65:1-65:23 (2017) - [c273]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. AAAI 2017: 81-87 - [c272]Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang:
Distant Domain Transfer Learning. AAAI 2017: 2604-2610 - [c271]Yu Zhang, Qiang Yang:
Learning Sparse Task Relations in Multi-Task Learning. AAAI 2017: 2914-2920 - [c270]Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang:
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI 2017: 2237-2243 - [c269]Bo Liu, Ying Wei, Yu Zhang, Qiang Yang:
Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI 2017: 2287-2293 - [c268]Tongliang Liu, Qiang Yang, Dacheng Tao:
Understanding How Feature Structure Transfers in Transfer Learning. IJCAI 2017: 2365-2371 - [c267]Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv:
The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms. KDD 2017: 1653-1662 - [c266]Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL 2017: 38-41 - [i16]Leye Wang, Xu Geng, Jintao Ke, Chen Peng, Xiaojuan Ma, Daqing Zhang, Qiang Yang:
Ridesourcing Car Detection by Transfer Learning. CoRR abs/1705.08409 (2017) - [i15]Yu Zhang, Qiang Yang:
A Survey on Multi-Task Learning. CoRR abs/1707.08114 (2017) - [i14]Ying Wei, Yu Zhang, Qiang Yang:
Learning to Transfer. CoRR abs/1708.05629 (2017) - [i13]Wenya Zhu, Kaixiang Mo, Yu Zhang, Zhangbin Zhu, Xuezheng Peng, Qiang Yang:
Flexible End-to-End Dialogue System for Knowledge Grounded Conversation. CoRR abs/1709.04264 (2017) - [i12]Weiyan Wang, Yuxiang Wu, Yu Zhang, Zhongqi Lu, Kaixiang Mo, Qiang Yang:
Integrating User and Agent Models: A Deep Task-Oriented Dialogue System. CoRR abs/1711.03697 (2017) - 2016
- [j137]Qiang Yang:
Cross-Domain Data Fusion. IEEE Computer 49(4): 18 (2016) - [j136]Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming:
Transfer Learning for Semisupervised Collaborative Recommendation. TiiS 6(2): 10:1-10:21 (2016) - [j135]Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang:
Telco User Activity Level Prediction with Massive Mobile Broadband Data. ACM TIST 7(4): 63:1-63:30 (2016) - [j134]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search. TKDD 10(4): 36:1-36:28 (2016) - [j133]Chuanren Liu, Kai Zhang, Hui Xiong, Guofei Jiang, Qiang Yang:
Temporal Skeletonization on Sequential Data: Patterns, Categorization, and Visualization. IEEE Trans. Knowl. Data Eng. 28(1): 211-223 (2016) - [j132]Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao, Toyoaki Nishida:
Individual Judgments Versus Consensus: Estimating Query-URL Relevance. TWEB 10(1): 3:1-3:21 (2016) - [c265]Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang:
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI 2016: 1338-1344 - [c264]Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang:
Multi-Domain Active Learning for Recommendation. AAAI 2016: 2358-2364 - [c263]Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang:
Infusing Human Factors into Algorithmic Crowdsourcing. AAAI 2016: 4062-4064 - [c262]Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang:
Collaborative Evolution for User Profiling in Recommender Systems. IJCAI 2016: 3804-3810 - [c261]Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang:
Matrix Factorization+ for Movie Recommendation. IJCAI 2016: 3945-3951 - [c260]Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip S. Yu:
Deep Visual-Semantic Hashing for Cross-Modal Retrieval. KDD 2016: 1445-1454 - [c259]Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas:
City-Scale Map Creation and Updating using GPS Collections. KDD 2016: 1465-1474 - [c258]Ying Wei, Yu Zheng, Qiang Yang:
Transfer Knowledge between Cities. KDD 2016: 1905-1914 - [c257]Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang:
Correlated Tag Learning in Topic Model. UAI 2016 - [c256]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of WeChat Social Messaging Groups. WWW 2016: 311-320 - [e16]Wei Fan, Albert Bifet, Jesse Read, Qiang Yang, Philip S. Yu:
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications, BigMine 2016, San Francisco, CA, USA, August 14, 2016. JMLR Workshop and Conference Proceedings 53, JMLR.org 2016 [contents] - [i11]Zhangjie Cao, Mingsheng Long, Qiang Yang:
Transitive Hashing Network for Heterogeneous Multimedia Retrieval. CoRR abs/1608.04307 (2016) - [i10]Zhongqi Lu, Qiang Yang:
Partially Observable Markov Decision Process for Recommender Systems. CoRR abs/1608.07793 (2016) - [i9]Kaixiang Mo, Shuangyin Li, Yu Zhang, Jiajun Li, Qiang Yang:
Personalizing a Dialogue System with Transfer Learning. CoRR abs/1610.02891 (2016) - 2015
- [j131]Guangyuan Yang, Wei Jiang, Qiang Yang, Weichuan Yu:
PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies. Bioinformatics 31(9): 1460-1462 (2015) - [j130]Xueyang Hu, Mingxuan Yuan, Jianguo Yao, Yu Deng, Lei Chen, Qiang Yang, Haibing Guan, Jia Zeng:
Differential Privacy in Telco Big Data Platform. PVLDB 8(12): 1692-1703 (2015) - [j129]Qiang Yang:
Introduction to the IEEE Transactions on Big Data. IEEE Trans. Big Data 1(1): 2-15 (2015) - [j128]Shu Kong, Zhuolin Jiang, Qiang Yang:
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification. IEEE Trans. Image Processing 24(8): 2404-2414 (2015) - [c255]Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang:
Content-Based Collaborative Filtering for News Topic Recommendation. AAAI 2015: 217-223 - [c254]Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang:
RAIN: Social Role-Aware Information Diffusion. AAAI 2015: 367-373 - [c253]Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang:
Efficient Task Sub-Delegation for Crowdsourcing. AAAI 2015: 1305-1312 - [c252]Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang:
Spectral Label Refinement for Noisy and Missing Text Labels. AAAI 2015: 2972-2978 - [c251]Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang:
Mining target users for online marketing based on App Store data. BigData 2015: 1043-1052 - [c250]Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang:
Sampling Big Trajectory Data. CIKM 2015: 941-950 - [c249]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Preface. BigMine 2015: 4 - [c248]Ben Tan, Yangqiu Song, Erheng Zhong, Qiang Yang:
Transitive Transfer Learning. KDD 2015: 1155-1164 - [c247]Qiang Yang:
User Modeling in Telecommunications and Internet Industry. KDD 2015: 1639 - [c246]Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng:
Telco Churn Prediction with Big Data. SIGMOD Conference 2015: 607-618 - [c245]Guangyu Feng, Kun Xiong, Yang Tang, Anqi Cui, Jing Bai, Hang Li, Qiang Yang, Ming Li:
Question Classification by Approximating Semantics. WWW (Companion Volume) 2015: 407-417 - [c244]Xiaosheng Liu, Jia Zeng, Xi Yang, Jianfeng Yan, Qiang Yang:
Scalable Parallel EM Algorithms for Latent Dirichlet Allocation in Multi-Core Systems. WWW 2015: 669-679 - [e15]Qiang Yang, Michael J. Wooldridge:
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015. AAAI Press 2015, ISBN 978-1-57735-738-4 [contents] - [i8]Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, John E. Hopcroft:
The Lifecycle and Cascade of Social Messaging Groups. CoRR abs/1512.07831 (2015) - 2014
- [j127]Hankz Hankui Zhuo, Qiang Yang:
Action-model acquisition for planning via transfer learning. Artif. Intell. 212: 80-103 (2014) - [j126]Hankz Hankui Zhuo, Héctor Muñoz-Avila, Qiang Yang:
Learning hierarchical task network domains from partially observed plan traces. Artif. Intell. 212: 134-157 (2014) - [j125]Yuanchun Zhou, MingJie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan:
Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intelligent Systems 29(4): 10-17 (2014) - [j124]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. PVLDB 7(13): 1561-1564 (2014) - [j123]Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang:
Multi-transfer: Transfer learning with multiple views and multiple sources. Statistical Analysis and Data Mining 7(4): 282-293 (2014) - [j122]Erheng Zhong, Wei Fan, Qiang Yang:
User behavior learning and transfer in composite social networks. TKDD 8(1): 6:1-6:32 (2014) - [j121]Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang:
Transfer Learning with Graph Co-Regularization. IEEE Trans. Knowl. Data Eng. 26(7): 1805-1818 (2014) - [c243]Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang:
Source Free Transfer Learning for Text Classification. AAAI 2014: 122-128 - [c242]Wei Fan, Albert Bifet, Qiang Yang, Philip S. Yu:
Preface. BigMine 2014 - [c241]Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang:
Crowdsourced time-sync video tagging using temporal and personalized topic modeling. KDD 2014: 721-730 - [c240]Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang:
Scalable heterogeneous translated hashing. KDD 2014: 791-800 - [c239]