Qing He

Qing He, Ning Li, Zhongzhi Shi, 2012, 2012 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing.

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings

Qing He, Pingzhong Tang, Xiang Ao, 2019, SIGIR.

Transfer collaborative filtering from multiple sources via consensus regularization

Fuzhen Zhuang, Qing He, Xiangliang Zhang, 2018, Neural Networks.

Cross-domain novelty seeking trait mining for sequential recommendation pdf

Xing Xie, Fuzhen Zhuang, Qing He, 2018, ArXiv.

Bayesian Group Feature Selection for Support Vector Learning Machines

Qing He, Changde Du, Ali Luo, 2016, PAKDD.

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, PAKDD.

Representation learning via Dual-Autoencoder for recommendation

Xing Xie, Fuzhen Zhuang, Qing He, 2017, Neural Networks.

Attention-driven Factor Model for Explainable Personalized Recommendation

Xing Xie, Fuzhen Zhuang, Qing He, 2018, SIGIR.

Online Bayesian Max-Margin Subspace Multi-View Learning

Xin Yin, Fuzhen Zhuang, Qing He, 2016, IJCAI.

Data Selection for Nonlinear Proximal Support Vector Machine

Qing He, Zhongzhi Shi, Qiuge Liu, 2007, Third International Conference on Natural Computation (ICNC 2007).

Multi-task Multi-view Learning for Heterogeneous Tasks

Hui Xiong, Fuzhen Zhuang, Qing He, 2014, CIKM.

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel

Fuzhen Zhuang, Qing He, Changde Du, 2017, IJCAI.

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification

Fuzhen Zhuang, Qing He, Yanchi Liu, 2019, AAAI.

An index and retrieval framework integrating perceptive features and semantics for multimedia databases

Qing He, Zhongzhi Shi, Zhiping Shi, 2009, Multimedia Tools and Applications.

Parallel feature selection using positive approximation based on MapReduce

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks pdf

Qing He, Min Lu, Pingzhong Tang, 2019, ArXiv.

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, 2014 IEEE International Conference on Data Mining.

Heterogeneous Multi-task Semantic Feature Learning for Classification

Fuzhen Zhuang, Qing He, Ping Luo, 2015, CIKM.

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach

Qing He, Xin Song, Fuzhen Zhuang, 2019, KDD.

An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data pdf

Qing He, Xiang Ao, Thapana Boonchoo, 2018, ArXiv.

Embedding with Autoencoder Regularization

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, ECML/PKDD.

Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting

Bo Chen, Qing He, Ping Luo, 2018, AAAI.

Mechanism-Aware Neural Machine for Dialogue Response Generation

Bo Chen, Qing He, Ping Luo, 2017, AAAI.

Policy Optimization with Model-based Explorations

Qing He, Qing Da, Pingzhong Tang, 2018, AAAI.

Fast Time Series Classification Based on Infrequent Shapelets

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2012, 2012 11th International Conference on Machine Learning and Applications.

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, IJCAI.

Supervised representation learning for multi-label classification

Fuzhen Zhuang, Qing He, Xiao Zhang, 2019, Machine Learning.

Multi-view learning via probabilistic latent semantic analysis

Fuzhen Zhuang, Qing He, George Karypis, 2012, Inf. Sci..

QPLSA: Utilizing quad-tuples for aspect identification and rating

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2015, Inf. Process. Manag..

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration

Li Sun, Qing He, Jiayu Tang, 2020, KDD.

From Online Behaviors to Offline Retailing

Qing He, Ping Luo, Zhiqiang Liu, 2016, KDD.

Generative Neural Machine for Tree Structures

Qing He, Ping Luo, Yijun Xiao, 2017, 1705.00321.

A heterogeneous computing system for data mining workflows in multi‐agent environments

Qing He, Zhongzhi Shi, Ping Luo, 2006, Expert Syst. J. Knowl. Eng..

A Heterogeneous Computing System for Data Mining Workflows

Qing He, Zhongzhi Shi, Ping Luo, 2006, BNCOD.

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling pdf

Fuzhen Zhuang, Qing He, Guoping Long, 2016, ECML/PKDD.

A General Cross-Domain Recommendation Framework via Bayesian Neural Network

Rui Liu, Fuzhen Zhuang, Qing He, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries

Fuzhen Zhuang, Qing He, Ying Sun, 2018, KDD.

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection

Qing He, Xiang Ao, Jianfeng Chi, 2022, DASFAA.

Self-organizing weighted incremental probabilistic latent semantic analysis

Kun Yang, Fuzhen Zhuang, Qing He, 2018, Int. J. Mach. Learn. Cybern..

Numerical study on the drag and flow characteristics of porous particles at intermediate Reynolds numbers

Qing He, Shi Tao, Jiahong Luo, 2022, Math. Comput. Simul..

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification

Hui Xiong, Fuzhen Zhuang, Qing He, 2010, CIKM.

A new solution algorithm for solving rule‐sets based bilevel decision problems

Qing He, Jie Lu, Guangquan Zhang, 2012, Concurr. Comput. Pract. Exp..

Atom Responding Machine for Dialog Generation pdf

Qing He, Ping Luo, Fen Lin, 2019, ArXiv.

Learning deep representations via extreme learning machines

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2015, Neurocomputing.

Parallel Outlier Detection Using KD-Tree Based on MapReduce

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.

Shared Structure Learning for Multiple Tasks with Multiple Views

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2013, ECML/PKDD.

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification

Hui Xiong, Fuzhen Zhuang, Qing He, 2012, IEEE Transactions on Knowledge and Data Engineering.

Bayesian Maximum Margin Principal Component Analysis

Yuan Qi, Fuzhen Zhuang, Qing He, 2015, AAAI.

MSMiner - a developing platform for OLAP

Qing He, Lei Zhao, Zhongzhi Shi, 2007, Decis. Support Syst..

Intelligence Chinese Document Semantic Indexing System

Qing He, Zhongzhi Shi, Ziyan Jia, 2003, Int. J. Inf. Technol. Decis. Mak..

Restricted Monte Carlo Integration on Some Multivariate Functions

Qing He, Peixin Ye, Qing He, 2008, 2008 International Conference on Computer Science and Software Engineering.

Complexity of Functional Learning on Some Classes of Multivariate Functions

Qing He, Peixin Ye, Qing He, 2008, 2008 Fourth International Conference on Natural Computation.

Parallel Decision Tree with Application to Water Quality Data Analysis

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2012, ISNN.

Learning deep representations via extreme learning machines

Zhongzhi Shi, Fuzhen Zhuang, Qing He, 2015, Neurocomputing.

Discovering and learning sensational episodes of news events

Fuzhen Zhuang, Qing He, Zhongzhi Shi, 2014, WWW.

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective

Hui Xiong, Fuzhen Zhuang, Qing He, 2010, IEEE Transactions on Knowledge and Data Engineering.

A sharp interface immersed boundary-discrete unified gas kinetic scheme for fluid-solid flows with heat transfer

Qing He, Jiechao Chen, Shi Tao, 2022, International Communications in Heat and Mass Transfer.

CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree

Qing He, Zhongzhi Shi, Weizhong Zhao, 2008, 2008 International Conference on Machine Learning and Cybernetics.

Effective semi-supervised document clustering via active learning with instance-level constraints

Qing He, Huifang Ma, Zhongzhi Shi, 2011, Knowledge and Information Systems.

A HSC-based sample selection method for support vector machine

Qing He, Ning Li, Zhongzhi Shi, 2010, 2010 International Conference on Machine Learning and Cybernetics.