IDSIS: Intelligent Document Semantic Indexing System. - Zhongzhi Shi; Bin Wu 001; Qing He 003; Xiujun Gong; Shaohui Liu; Yi Zheng (IIP, 2002)

Intelligence Chinese Document Semantic Indexing System. - Zhongzhi Shi; Qing He 003; Ziyan Jia; Jiayou Li (Int. J. Inf. Technol. Decis. Mak., 2003)

Data Mining by MOUCLAS Algorithm for Petroleum Reservoir Characterization from Well Logging Data. - Yalei Hao; Markus Stumptner; Gerald Quirchmayr; Qing He 003 (AIAI, 2004)

A Prediction Approach to Well Logging. - Qing He 003; Ping Luo 001; Zhongzhi Shi; Yalei Hao; Markus Stumptner (IIP, 2004)

Intelligent Technology for Well Logging Analysis. - Zhongzhi Shi; Ping Luo 001; Yalei Hao; Guohe Li; Markus Stumptner; Qing He 003; Gerald Quirchmayr (IIP, 2004)

Theoretical study on a new information entropy and its use in attribute reduction. - Ping Luo 001; Qing He 003; Zhongzhi Shi (IEEE ICCI, 2005)

Execution Engine of Meta-learning System for KDD in Multi-agent Environment. - Ping Luo 001; Qing He 003; Rui Huang; Fen Lin; Zhongzhi Shi (AIS-ADM, 2005)

Rule sets based bilevel decision model. - Zheng Zheng 001; Guangquan Zhang 001; Qing He 003; Jie Lu 001; Zhongzhi Shi (ACSC, 2006)

A Heterogeneous Computing System for Data Mining Workflows. - Ping Luo 001; Kevin Lü 001; Qing He 003; Zhongzhi Shi (BNCOD, 2006)

A New Method for Modeling Principal Curve. - Jisheng Hao; Qing He 003; Zhongzhi Shi (IIP, 2006)

HyperSurface Classifiers Ensemble for High Dimensional Data Sets. - Xiu-Rong Zhao; Qing He 003; Zhongzhi Shi (ISNN (1), 2006)

Multi-modal Services for Web Information Collection Based on Multi-agent Techniques. - Qing He 003; Xiu-Rong Zhao; Sulan Zhang (PRIMA, 2006)

Granule Sets Based Bilevel Decision Model. - Zheng Zheng 001; Qing He 003; Zhongzhi Shi (RSKT, 2006)

A heterogeneous computing system for data mining workflows in multi-agent environments. - Ping Luo 001; Kevin Lü 001; Rui Huang; Qing He 003; Zhongzhi Shi (Expert Syst. J. Knowl. Eng., 2006)

A Cognitive Data Visualization Method Based on Hyper Surface. - Qing He 003; Xiu-Rong Zhao; Zhongzhi Shi (IEEE ICCI, 2007)

Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues. - Qing He 003; Xiu-Rong Zhao; Ping Luo 001; Zhongzhi Shi (AIS-ADM, 2007)

Data Selection for Nonlinear Proximal Support Vector Machine. - Qiuge Liu; Qing He 003; Zhongzhi Shi (ICNC (1), 2007)

Incremental Nonlinear Proximal Support Vector Machine. - Qiuge Liu; Qing He 003; Zhongzhi Shi (ISNN (3), 2007)

Research on Business Intelligence in enterprise computing environment. - Lida Xu; Li Zeng; Zhongzhi Shi; Qing He 003; Maoguang Wang (SMC, 2007)

MSMiner - a developing platform for OLAP. - Zhongzhi Shi; Youping Huang; Qing He 003; Lida Xu; Shaohui Liu; Liangxi Qin; Ziyan Jia; Jiayou Li; Huijing Huang; Lei Zhao (Decis. Support Syst., 2007)

Distributed data mining in grid computing environments. - Ping Luo 001; Kevin Lü 001; Zhongzhi Shi; Qing He 003 (Future Gener. Comput. Syst., 2007)

Classification based on dimension transposition for high dimension data. - Qing He 003; Xiu-Rong Zhao; Zhongzhi Shi (Soft Comput., 2007)

On Defining Partition Entropy by Inequalities. - Ping Luo 001; Guoxing Zhan; Qing He 003; Zhongzhi Shi; Kevin Lü 001 (IEEE Trans. Inf. Theory, 2007)

Transfer learning from multiple source domains via consensus regularization. - Ping Luo 001; Fuzhen Zhuang; Hui Xiong 001; Yuhong Xiong; Qing He 003 (CIKM, 2008)

The Data Selection Criteria for HSC and SVM Algorithms. - Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (ICNC (3), 2008)

Geodesic distance based multi-document summarization. - Huifang Ma; Qing He 003; Zhongzhi Shi (NLPKE, 2008)

Extreme Support Vector Machine Classifier. - Qiuge Liu; Qing He 003; Zhongzhi Shi (PAKDD, 2008)

Minimal Consistent Subset for Hyper Surface Classification Method. - Qing He 003; Xiu-Rong Zhao; Zhongzhi Shi (Int. J. Pattern Recognit. Artif. Intell., 2008)

Bayes-Based Relevance Feedback Method for CBIR. - Zhiping Shi 002; Qing He 003; Zhongzhi Shi (Innovations in Hybrid Intelligent Systems, 2008)

Parallel K-Means Clustering Based on MapReduce. - Weizhong Zhao; Huifang Ma; Qing He 003 (CloudCom, 2009)

Detecting Unusual Pattern with Labeled Data in Two-Stage. - Jincheng Li; Qing He 003; Zhongzhi Shi (FSKD (1), 2009)

Rule Extraction and Reduction for Hyper Surface Classification. - Qing He 003; Jincheng Li; Zhongzhi Shi (ISNN (2), 2009)

Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. - Weizhong Zhao; Qing He 003; Huifang Ma; Zhongzhi Shi (Web Intelligence, 2009)

Rule sets based bilevel decision model and algorithm. - Zheng Zheng 001; Jie Lu 001; Guangquan Zhang 001; Qing He 003 (Expert Syst. Appl., 2009)

An index and retrieval framework integrating perceptive features and semantics for multimedia databases. - Zhiping Shi 002; Qing He 003; Zhongzhi Shi (Multim. Tools Appl., 2009)

Nonparametric Curve Extraction Based on Ant Colony System. - Qing Tan; Qing He 003; Zhongzhi Shi (AAAI, 2010)

Effectively Leveraging Entropy and Relevance for Summarization. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (AIRS, 2010)

Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (CIKM, 2010)

A noise handling method for hyper surface classification. - Tingting Li; Fuzhen Zhuang; Qing He 003 (FSKD, 2010)

D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi (ICDM, 2010)

A HSC-based sample selection method for support vector machine. - Qing He 003; Ning Li; Zhongzhi Shi (ICMLC, 2010)

Local Bayesian Based Rejection Method for HSC Ensemble. - Qing He 003; Wenjuan Luo; Fuzhen Zhuang; Zhongzhi Shi (ISNN (1), 2010)

The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce. - Qing He 003; Qing Tan; Xudong Ma; Zhongzhi Shi (RSKT, 2010)

Parallel Implementation of Classification Algorithms Based on MapReduce. - Qing He 003; Fuzhen Zhuang; Jincheng Li; Zhongzhi Shi (RSKT, 2010)

Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. - Fuzhen Zhuang; Ping Luo 001; Hui Xiong 001; Yuhong Xiong; Qing He 003; Zhongzhi Shi (IEEE Trans. Knowl. Data Eng., 2010)

Parallel Outlier Detection Using KD-Tree Based on MapReduce. - Qing He 003; Yunlong Ma; Qun Wang; Fuzhen Zhuang; Zhongzhi Shi (CloudCom, 2011)

The improved non-negative Matrix Factorization algorithm for document clustering. - Weizhong Zhao; Huifang Ma; Qing He 003; Zhongzhi Shi (FSKD, 2011)

Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. - Xudong Ma; Ping Luo 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi; Zhiyong Shen (IJCAI, 2011)

An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. - Guangquan Zhang 001; Zheng Zheng 001; Jie Lu 001; Qing He 003 (Comput. Intell., 2011)

An improved FCMBP fuzzy clustering method based on evolutionary programming. - Qing Tan; Qing He 003; Weizhong Zhao; Zhongzhi Shi; E. Stanley Lee (Comput. Math. Appl., 2011)

A parallel incremental extreme SVM classifier. - Qing He 003; Changying Du; Qun Wang; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2011)

Exploiting associations between word clusters and document classes for cross-domain text categorization. - Fuzhen Zhuang; Ping Luo 001; Hui Xiong 001; Qing He 003; Yuhong Xiong; Zhongzhi Shi (Stat. Anal. Data Min., 2011)

CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree. - Qing He 003; Weizhong Zhao; Zhongzhi Shi (Soft Comput., 2011)

TINAC: A fast and effective web video topic detection framework. - Xiang Ao 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (FSKD, 2012)

Multi-task Semi-supervised Semantic Feature Learning for Classification. - Changying Du; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ICDM, 2012)

Fast Time Series Classification Based on Infrequent Shapelets. - Qing He 003; Zhi Dong; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (ICMLA (1), 2012)

PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. - Ning Li; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (IIP, 2012)

Effectively Constructing Reliable Data for Cross-Domain Text Classification. - Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (IIP, 2012)

Parallel Decision Tree with Application to Water Quality Data Analysis. - Qing He 003; Zhi Dong; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (ISNN (2), 2012)

Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (PAKDD (1), 2012)

Parallel Max-Min Ant System Using MapReduce. - Qing Tan; Qing He 003; Zhongzhi Shi (ICSI (1), 2012)

Multi-view learning via probabilistic latent semantic analysis. - Fuzhen Zhuang; George Karypis; Xia Ning; Qing He 003; Zhongzhi Shi (Inf. Sci., 2012)

Effective semi-supervised document clustering via active learning with instance-level constraints. - Weizhong Zhao; Qing He 003; Huifang Ma; Zhongzhi Shi (Knowl. Inf. Syst., 2012)

Extracting discriminative features for CBIR. - Zhiping Shi 002; Xi Liu 009; Qingyong Li; Qing He 003; Zhongzhi Shi (Multim. Tools Appl., 2012)

Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2012)

Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". - Fuzhen Zhuang; Ping Luo 001; Zhiyong Shen; Qing He 003; Yuhong Xiong; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2012)

A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. - Tianfeng Shang; Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (APWeb, 2013)

Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. - Fuzhen Zhuang; Ping Luo 001; Peifeng Yin; Qing He 003; Zhongzhi Shi (IJCAI, 2013)

Extreme Learning Machine combining matrix factorization for collaborative filtering. - Tianfeng Shang; Qing He 003; Fuzhen Zhuang; Zhongzhi Shi (IJCNN, 2013)

Shared Structure Learning for Multiple Tasks with Multiple Views. - Xin Jin 004; Fuzhen Zhuang; Shuhui Wang; Qing He 003; Zhongzhi Shi (ECML/PKDD (2), 2013)

Embedding with Autoencoder Regularization. - Wenchao Yu; Guangxiang Zeng; Ping Luo 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2013)

Triplex transfer learning: exploiting both shared and distinct concepts for text classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi (WSDM, 2013)

Parallel Implementation of Apriori Algorithm Based on MapReduce. - Ning Li; Li Zeng; Qing He 003; Zhongzhi Shi (Int. J. Networked Distributed Comput., 2013)

Parallel extreme learning machine for regression based on MapReduce. - Qing He 003; Tianfeng Shang; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2013)

Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. - Wenjuan Luo; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Knowl. Based Syst., 2013)

Multi-task Multi-view Learning for Heterogeneous Tasks. - Xin Jin 004; Fuzhen Zhuang; Hui Xiong 001; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2014)

Nonparametric Bayesian Multi-Task Large-margin Classification. - Changying Du; Jia He 001; Fuzhen Zhuang; Yuan Qi 001; Qing He 003 (ECAI, 2014)

Parallel feature selection using positive approximation based on MapReduce. - Qing He 003; Xiaohu Cheng; Fuzhen Zhuang; Zhongzhi Shi (FSKD, 2014)

Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. - Wenjuan Luo; Fuzhen Zhuang; Xiaohu Cheng; Qing He 003; Zhongzhi Shi (ICDM, 2014)

Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. - Shuo Han; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (PAKDD (1), 2014)

Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Sinno Jialin Pan; Wenchao Yu; Qing He 003; Zhongzhi Shi (ECML/PKDD (3), 2014)

Scalable bootstrap clustering for massive data. - Haocheng Wang; Fuzhen Zhuang; Xiang Ao 001; Qing He 003; Zhongzhi Shi (SNPD, 2014)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (WWW (Companion Volume), 2014)

Clustering in extreme learning machine feature space. - Qing He 003; Xin Jin 004; Changying Du; Fuzhen Zhuang; Zhongzhi Shi (Neurocomputing, 2014)

Combining supervised and unsupervised models via unconstrained probabilistic embedding. - Xiang Ao 001; Ping Luo 001; Xudong Ma; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi; Zhiyong Shen (Inf. Sci., 2014)

Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. - Fuzhen Zhuang; Ping Luo 001; Changying Du; Qing He 003; Zhongzhi Shi; Hui Xiong 001 (IEEE Trans. Cybern., 2014)

Bayesian Maximum Margin Principal Component Analysis. - Changying Du; Shandian Zhe; Fuzhen Zhuang; Yuan Qi 001; Qing He 003; Zhongzhi Shi (AAAI, 2015)

Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. - Xin Jin 004; Ping Luo 001; Fuzhen Zhuang; Jia He 001; Qing He 003 (CIKM, 2015)

Heterogeneous Multi-task Semantic Feature Learning for Classification. - Xin Jin 004; Fuzhen Zhuang; Sinno Jialin Pan; Changying Du; Ping Luo 001; Qing He 003 (CIKM, 2015)

Online Frequent Episode Mining. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (ICDE, 2015)

Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. - Fuzhen Zhuang; Dan Luo; Xin Jin 004; Hui Xiong 001; Ping Luo 001; Qing He 003 (ICDM, 2015)

Supervised Representation Learning: Transfer Learning with Deep Autoencoders. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (IJCAI, 2015)

Improving ESVM with Generalized Cross-Validation. - Tianshu Feng; Fuzhen Zhuang; Qing He 003 (IJCNN, 2015)

Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. - Xinyu Wu; Ping Luo 001; Qing He 003; Tianshu Feng; Fuzhen Zhuang (SDM, 2015)

A new solution algorithm for solving rule-sets based bilevel decision problems. - Jie Lu 001; Zheng Zheng 001; Guangquan Zhang 001; Qing He 003; Zhongzhi Shi (Concurr. Comput. Pract. Exp., 2015)

Parallel sampling from big data with uncertainty distribution. - Qing He 003; Haocheng Wang; Fuzhen Zhuang; Tianfeng Shang; Zhongzhi Shi (Fuzzy Sets Syst., 2015)

Learning deep representations via extreme learning machines. - Wenchao Yu; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Neurocomputing, 2015)

QPLSA: Utilizing quad-tuples for aspect identification and rating. - Wenjuan Luo; Fuzhen Zhuang; Weizhong Zhao; Qing He 003; Zhongzhi Shi (Inf. Process. Manag., 2015)

Ensemble of Anchor Adapters for Transfer Learning. - Fuzhen Zhuang; Ping Luo 001; Sinno Jialin Pan; Hui Xiong 001; Qing He 003 (CIKM, 2016)

Online Bayesian Max-Margin Subspace Multi-View Learning. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (IJCAI, 2016)

Browsing Regularities in Hedonic Content Systems. - Ping Luo 001; Ganbin Zhou; Jiaxi Tang; Rui Chen; Zhongjie Yu 002; Qing He 003 (IJCAI, 2016)

From Online Behaviors to Offline Retailing. - Ping Luo 001; Su Yan; Zhiqiang Liu; Zhiyong Shen; Shengwen Yang; Qing He 003 (KDD, 2016)

Bayesian Group Feature Selection for Support Vector Learning Machines. - Changde Du; Changying Du; Shandian Zhe; Ali Luo; Qing He 003; Guoping Long (PAKDD (1), 2016)

Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. - Changying Du; Fuzhen Zhuang; Jia He 001; Qing He 003; Guoping Long (ECML/PKDD (1), 2016)

Online Bayesian Multiple Kernel Bipartite Ranking. - Changying Du; Changde Du; Guoping Long; Qing He 003; Yucheng Li 002 (UAI, 2016)

Bag of little bootstraps on features for enhancing classification performance. - Haocheng Wang; Fuzhen Zhuang; Xin Jin 004; Xiang Ao 001; Qing He 003 (Intell. Data Anal., 2016)

Mechanism-Aware Neural Machine for Dialogue Response Generation. - Ganbin Zhou; Ping Luo 001; Rongyu Cao; Fen Lin; Bo Chen; Qing He 003 (AAAI, 2017)

Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. - Jia He 001; Changying Du; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (IJCAI, 2017)

Transfer Learning with Manifold Regularized Convolutional Neural Network. - Fuzhen Zhuang; Lang Huang 004; Jia He 001; Jixin Ma 001; Qing He 003 (KSEM, 2017)

Representation Learning with Pair-wise Constraints for Collaborative Ranking. - Fuzhen Zhuang; Dan Luo; Nicholas Jing Yuan; Xing Xie 001; Qing He 003 (WSDM, 2017)

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (WWW (Companion Volume), 2017)

Representation learning via Dual-Autoencoder for recommendation. - Fuzhen Zhuang; Zhiqiang Zhang 012; Mingda Qian; Chuan Shi 001; Xing Xie 001; Qing He 003 (Neural Networks, 2017)

Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. - Ganbin Zhou; Ping Luo 001; Rongyu Cao; Yijun Xiao; Fen Lin; Bo Chen; Qing He 003 (AAAI, 2018)

Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. - Ganbin Zhou; Ping Luo 001; Yijun Xiao; Fen Lin; Bo Chen; Qing He 003 (AAAI, 2018)

MultiE: Multi-Task Embedding for Knowledge Base Completion. - Zhao Zhang 011; Fuzhen Zhuang; Zheng-Yu Niu; Deqing Wang; Qing He 003 (CIKM, 2018)

Free-Rider Episode Screening via Dual Partition Model. - Xiang Ao 001; Yang Liu 200; Zhen Huang; Luo Zuo; Qing He 003 (DASFAA (1), 2018)

Knowledge Graph Embedding with Hierarchical Relation Structure. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Fen Lin; Qing He 003 (EMNLP, 2018)

A General Cross-Domain Recommendation Framework via Bayesian Neural Network. - Jia He 001; Rui Liu 007; Fuzhen Zhuang; Fen Lin; Cheng Niu; Qing He 003 (ICDM, 2018)

Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. - Ling Luo; Xiang Ao 001; Feiyang Pan; Jin Wang 007; Tong Zhao; Ningzi Yu; Qing He 003 (IJCAI, 2018)

Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. - Ying Sun 006; Hengshu Zhu; Fuzhen Zhuang; Jingjing Gu; Qing He 003 (KDD, 2018)

Attention-driven Factor Model for Explainable Personalized Recommendation. - Jingwu Chen; Fuzhen Zhuang; Xin Hong; Xiang Ao 001; Xing Xie 001; Qing He 003 (SIGIR, 2018)

Predicting compositional time series via autoregressive Dirichlet estimation. - Ganbin Zhou; Ping Luo 001; Qing He 003 (Sci. China Inf. Sci., 2018)

An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data. - Thapana Boonchoo; Xiang Ao 001; Qing He 003 (CoRR, 2018)

Policy Gradients for Contextual Bandits. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (CoRR, 2018)

Cross-domain novelty seeking trait mining for sequential recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (CoRR, 2018)

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. - Ganbin Zhou; Rongyu Cao; Xiang Ao 001; Ping Luo 001; Fen Lin; Leyu Lin; Qing He 003 (CoRR, 2018)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2018)

Self-organizing weighted incremental probabilistic latent semantic analysis. - Ning Li; Wenjuan Luo; Kun Yang; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (Int. J. Mach. Learn. Cybern., 2018)

Transfer collaborative filtering from multiple sources via consensus regularization. - Fuzhen Zhuang; Jing Zheng; Jingwu Chen; Xiangliang Zhang 001; Chuan Shi 001; Qing He 003 (Neural Networks, 2018)

Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. - Fuzhen Zhuang; Xuebing Li; Xin Jin 004; Dapeng Zhang; Lirong Qiu; Qing He 003 (IEEE Trans. Cybern., 2018)

Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. - Fuzhen Zhuang; Xiaohu Cheng; Ping Luo 001; Sinno Jialin Pan; Qing He 003 (ACM Trans. Intell. Syst. Technol., 2018)

Mining Precise-Positioning Episode Rules from Event Sequences. - Xiang Ao 001; Ping Luo 001; Jin Wang 007; Fuzhen Zhuang; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2018)

Policy Optimization with Model-Based Explorations. - Feiyang Pan; Qingpeng Cai 001; Anxiang Zeng; Chun-Xiang Pan; Qing Da; Hua-Lin He; Qing He 003; Pingzhong Tang (AAAI, 2019)

Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. - Dongbo Xi; Fuzhen Zhuang; Yanchi Liu; Jingjing Gu; Hui Xiong 001; Qing He 003 (AAAI, 2019)

Reading Like HER: Human Reading Inspired Extractive Summarization. - Ling Luo; Xiang Ao 001; Yan Song 003; Feiyang Pan; Min Yang 007; Qing He 003 (EMNLP/IJCNLP (1), 2019)

Unsupervised Neural Aspect Extraction with Sememes. - Ling Luo; Xiang Ao 001; Yan Song 003; Jinyao Li; Xiaopeng Yang; Qing He 003; Dong Yu 001 (IJCAI, 2019)

The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (KDD, 2019)

Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. - Yongchun Zhu; Fuzhen Zhuang; Jingyuan Yang 001; Xi Yang; Qing He 003 (PAKDD (1), 2019)

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Pingzhong Tang; Qing He 003 (SIGIR, 2019)

Policy Gradients for Contextual Recommendations. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (WWW, 2019)

Atom Responding Machine for Dialog Generation. - Ganbin Zhou; Ping Luo 001; Jingwu Chen; Fen Lin; Leyu Lin; Qing He 003 (CoRR, 2019)

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Qing He 003 (CoRR, 2019)

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. - Changying Du; Jia He 001; Changde Du; Fuzhen Zhuang; Qing He 003; Guoping Long (CoRR, 2019)

Transfer Learning Toolkit: Primers and Benchmarks. - Fuzhen Zhuang; Keyu Duan; Tongjia Guo; Yongchun Zhu; Dongbo Xi; Zhiyuan Qi; Qing He 003 (CoRR, 2019)

Bayesian dual neural networks for recommendation. - Jia He 001; Fuzhen Zhuang; Yanchi Liu; Qing He 003; Fen Lin (Frontiers Comput. Sci., 2019)

Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2019)

Knowledge triple mining via multi-task learning. - Zhao Zhang 011; Fuzhen Zhuang; Xuebing Li; Zheng-Yu Niu; Jia He 001; Qing He 003; Hui Xiong 001 (Inf. Syst., 2019)

Supervised representation learning for multi-label classification. - Ming Huang; Fuzhen Zhuang; Xiao Zhang 015; Xiang Ao 001; Zhengyu Niu; Min-Ling Zhang; Qing He 003 (Mach. Learn., 2019)

Multi-representation adaptation network for cross-domain image classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Jingwu Chen; Zhiping Shi 002; Wenjuan Wu; Qing He 003 (Neural Networks, 2019)

Grid-based DBSCAN: Indexing and inference. - Thapana Boonchoo; Xiang Ao 001; Yang Liu 200; Weizhong Zhao; Fuzhen Zhuang; Qing He 003 (Pattern Recognit., 2019)

Multi-Aspect Embedding for Attribute-Aware Trajectories. - Thapana Boonchoo; Xiang Ao 001; Qing He 003 (Symmetry, 2019)

Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. - Xiang Ao 001; Haoran Shi; Jin Wang 007; Luo Zuo; Hongwei Li; Qing He 003 (ACM Trans. Intell. Syst. Technol., 2019)

Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Zhi-Ping Shi 002; Hui Xiong 001; Qing He 003 (AAAI, 2020)

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. - Jia He 001; Feiyang Pan; Fuzhen Zhuang; Qing He 003 (ACML, 2020)

Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. - Yang Liu 200; Xiang Ao 001; Qiwei Zhong; Jinghua Feng; Jiayu Tang; Qing He 003 (CIKM, 2020)

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. - Tianxin Wang; Jingwu Chen; Fuzhen Zhuang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (ECAI, 2020)

Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. - Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Deqing Wang; Xiangliang Zhang 001; Qing He 003 (ICDM, 2020)

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. - Can Liu; Qiwei Zhong; Xiang Ao 001; Li Sun; Wangli Lin; Jinghua Feng; Qing He 003; Jiayu Tang (KDD, 2020)

Trust the Model When It Is Confident: Masked Model-based Actor-Critic. - Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (NeurIPS, 2020)

Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. - Dongbo Xi; Fuzhen Zhuang; Bowen Song; Yongchun Zhu; Shuai Chen; Dan Hong; Tao Chen; Xi Gu; Qing He 003 (SIGIR, 2020)

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Lei Xiao; Qing He 003 (WWW, 2020)

Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. - Dongbo Xi; Fuzhen Zhuang; Ganbin Zhou; Xiaohu Cheng; Fen Lin; Qing He 003 (WWW, 2020)

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. - Qiwei Zhong; Yang Liu 200; Xiang Ao 001; Binbin Hu; Jinghua Feng; Jiayu Tang; Qing He 003 (WWW, 2020)

Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. - Yongchun Zhu; Dongbo Xi; Bowen Song; Fuzhen Zhuang; Shuai Chen; Xi Gu; Qing He 003 (WWW, 2020)

Graph Factorization Machines for Cross-Domain Recommendation. - Dongbo Xi; Fuzhen Zhuang; Yongchun Zhu; Pengpeng Zhao 001; Xiangliang Zhang 001; Qing He 003 (CoRR, 2020)

Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2020)

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. - Fuzhen Zhuang; Ying-Min Zhou; Haochao Ying; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003; Hui Xiong 001 (J. Comput. Sci. Technol., 2020)

Online Bayesian max-margin subspace learning for multi-view classification and regression. - Jia He 001; Changying Du; Fuzhen Zhuang; Xin Yin; Qing He 003; Guoping Long (Mach. Learn., 2020)

Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. - Dongbo Xi; Fuzhen Zhuang; Yanchi Liu; Hengshu Zhu; Pengpeng Zhao 001; Chang Tan; Qing He 003 (Neural Networks, 2020)

Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. - Dongbo Xi; Bowen Song; Fuzhen Zhuang; Yongchun Zhu; Shuai Chen; Tianyi Zhang; Yuan Qi 001; Qing He 003 (AAAI, 2021)

PENS: A Dataset and Generic Framework for Personalized News Headline Generation. - Xiang Ao 001; Xiting Wang; Ling Luo; Ying Qiao; Qing He 003; Xing Xie 001 (ACL/IJCNLP (1), 2021)

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. - Zijun Sun; Xiaoya Li 001; Xiaofei Sun 001; Yuxian Meng; Xiang Ao 001; Qing He 003; Fei Wu 001; Jiwei Li 001 (ACL/IJCNLP (1), 2021)

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. - Guoxin Yu; Xiang Ao 001; Ling Luo; Min Yang 007; Xiaofei Sun 001; Jiwei Li 001; Qing He 003 (ACL/IJCNLP (Findings), 2021)

A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. - Zhipeng Zhang; Ling Ma 005; Yuan Chang; Li Xiao 005; Qing He 003; Conghui Ma; Huiqin Jiang (CISP-BMEI, 2021)

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. - Runchuan Wang; Zhao Zhang 011; Fuzhen Zhuang; Dehong Gao; Yi Wei; Qing He 003 (CIKM, 2021)

Low-dimensional Alignment for Cross-Domain Recommendation. - Tianxin Wang; Fuzhen Zhuang; Zhiqiang Zhang 012; Daixin Wang; Jun Zhou 011; Qing He 003 (CIKM, 2021)

ConRPG: Paraphrase Generation using Contexts as Regularizer. - Yuxian Meng; Xiang Ao 001; Qing He 003; Xiaofei Sun 001; Qinghong Han; Fei Wu 001; Chun Fan 001; Jiwei Li 001 (EMNLP (1), 2021)

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. - Guoxin Yu; Jiwei Li 001; Ling Luo; Yuxian Meng; Xiang Ao 001; Qing He 003 (EMNLP (Findings), 2021)

BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. - Dengjie Yang; Xuehui Yu; Yi Sun 004; Fuzhen Zhuang; Qing He 003; Shiwei Ye (ICONIP (4), 2021)

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. - Hao Chen; Fuzhen Zhuang; Li Xiao 005; Ling Ma 005; Haiyan Liu; Ruifang Zhang; Huiqin Jiang; Qing He 003 (IJCAI, 2021)

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. - Can Liu; Li Sun; Xiang Ao 001; Jinghua Feng; Qing He 003; Hao Yang 037 (KDD, 2021)

Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. - Ying Sun 006; Hengshu Zhu; Chuan Qin 002; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (NeurIPS, 2021)

An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. - Zhipeng Zhang; Li Xiao 005; Fuzhen Zhuang; Ling Ma 005; Yuan Chang; Yuanyuan Wang; Huiqin Jiang; Qing He 003 (PRCV (4), 2021)

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. - Haoming Li 011; Feiyang Pan; Xiang Ao 001; Zhao Yang; Min Lu; Junwei Pan; Dapeng Liu; Lei Xiao; Qing He 003 (SIGIR, 2021)

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu; Kaikai Ge; Fuzhen Zhuang; Ruobing Xie; Dongbo Xi; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2021)

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. - Yang Liu 200; Xiang Ao 001; Zidi Qin; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (WWW, 2021)

Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Qing He 003; Hui Xiong 001 (WWW, 2021)

Combat Data Shift in Few-shot Learning with Knowledge Graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhiping Shi 002; Qing He 003 (CoRR, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Bandits. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (CoRR, 2021)

Knowledge graph embedding with shared latent semantic units. - Zhao Zhang 011; Fuzhen Zhuang; Meng Qu; Zheng-Yu Niu; Hui Xiong 001; Qing He 003 (Neural Networks, 2021)

A Comprehensive Survey on Transfer Learning. - Fuzhen Zhuang; Zhiyuan Qi; Keyu Duan; Dongbo Xi; Yongchun Zhu; Hengshu Zhu; Hui Xiong 001; Qing He 003 (Proc. IEEE, 2021)

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. - Jingwu Chen; Fuzhen Zhuang; Tianxin Wang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2021)

Deep Subdomain Adaptation Network for Image Classification. - Yongchun Zhu; Fuzhen Zhuang; Jindong Wang 001; Guolin Ke; Jingwu Chen; Jiang Bian 002; Hui Xiong 001; Qing He 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Temporal high-order proximity aware behavior analysis on Ethereum. - Xiang Ao 001; Yang Liu 200; Zidi Qin; Yi Sun 004; Qing He 003 (World Wide Web, 2021)

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Dehong Gao; Fuzhen Zhuang; Yi Wei; Qing He 003 (AAAI, 2022)

Clustering-Enhanced Knowledge Graph Embedding. - Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Jingjing Gu; Zhiping Shi 002; Qing He 003 (Big Data (CCF), 2022)

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. - Yuyao Guo; Haoming Li 011; Xiang Ao 001; Min Lu; Dapeng Liu; Lei Xiao; Jie Jiang 015; Qing He 003 (CIKM, 2022)

Explainable Graph-based Fraud Detection via Neural Meta-graph Search. - Zidi Qin; Yang Liu 200; Qing He 003; Xiang Ao 001 (CIKM, 2022)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Fuzhen Zhuang; Yongjun Xu 001; Qing He 003 (CIKM, 2022)

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. - Linfeng Dong; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (DASFAA (1), 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. - Mingyang Liu; Li Xiao 005; Huiqin Jiang; Qing He 003 (ISBI, 2022)

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Kuan Li; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (KDD, 2022)

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Qing He 003 (KDD, 2022)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

Personalized Transfer of User Preferences for Cross-domain Recommendation. - Yongchun Zhu; Zhenwei Tang; Yudan Liu; Fuzhen Zhuang; Ruobing Xie; Xu Zhang 028; Leyu Lin; Qing He 003 (WSDM, 2022)

AUC-oriented Graph Neural Network for Fraud Detection. - Mengda Huang; Yang Liu 200; Xiang Ao 001; Kuan Li; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2022)

Personalized Prompts for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (CoRR, 2022)

Relation Reconstructive Binarization of word embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Qing He 003 (Frontiers Comput. Sci., 2022)

Self-Supervised learning for Conversational Recommendation. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He 003 (Inf. Process. Manag., 2022)

Adaptively sharing multi-levels of distributed representations in multi-task learning. - Tianxin Wang; Fuzhen Zhuang; Ying Sun 006; Xiangliang Zhang 001; Leyu Lin; Feng Xia 006; Lei He; Qing He 003 (Inf. Sci., 2022)

Learning policy scheduling for text augmentation. - Shuokai Li; Xiang Ao 001; Feiyang Pan; Qing He 003 (Neural Networks, 2022)

A Survey on Knowledge Graph-Based Recommender Systems. - Qingyu Guo; Fuzhen Zhuang; Chuan Qin 002; Hengshu Zhu; Xing Xie 001; Hui Xiong 001; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2022)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2022)

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. - Zixian Zhou; Mengda Huang; Feiyang Pan; Jia He 001; Xiang Ao 001; Dandan Tu; Qing He 003 (AAAI, 2023)

Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. - Yuyao Guo; Xiang Ao 001; Qiming Liu; Qing He 003 (CIKM, 2023)

Semantic-Driven Instance Generation for Table Question Answering. - Shuai Ma; Wenbin Jiang 002; Xiang Ao 001; Meng Tian; Xinwei Feng; Yajuan Lyu; Qiaoqiao She; Qing He 003 (DASFAA (1), 2023)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (ICDE, 2023)

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. - Qingyu Guo; Fuzhen Zhuang; Chuan Qin 002; Hengshu Zhu; Xing Xie 001; Hui Xiong 001; Qing He 003 (ICDE, 2023)

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. - Kuan Li; Yang Liu 200; Xiang Ao 001; Qing He 003 (ICLR, 2023)

Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. - Guang-Yu Cheng; Shuo Yu 003; Wen-Bin Jiang 002; Shuai Ma; Xiang Ao 001; Qing He 003 (ICMLC, 2023)

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Yunshan Ma; Kuan Li; Tat-Seng Chua; Qing He 003 (KDD, 2023)

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. - Shuo Yu 003; Hongyan Xue; Xiang Ao 001; Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (KDD, 2023)

Matching Point of Interests and Travel Blog with Multi-view Information Fusion. - Shuokai Li; Jingbo Zhou; Jizhou Huang; Hao Chen; Fuzhen Zhuang; Qing He 003; Dejing Dou (SIGIR, 2023)

Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. - Qiming Liu; Haoming Li 011; Xiang Ao 001; Yuyao Guo; Zhihong Dong; Ruobing Zhang; Qiong Chen; Jianfeng Tong; Qing He 003 (SIGIR, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

Combat data shift in few-shot learning with knowledge graph. - Yongchun Zhu; Fuzhen Zhuang; Xiangliang Zhang 001; Zhiyuan Qi; Zhi-Ping Shi 002; Juan Cao 001; Qing He 003 (Frontiers Comput. Sci., 2023)

Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. - Ying Sun 006; Fuzhen Zhuang; Hengshu Zhu; Xin Song; Qing He 003; Hui Xiong 001 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Chao Li 028; Hui Xiong 001; Qing He 003; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. - Qiming Liu; Xiang Ao 001; Yuyao Guo; Qing He 003 (AAAI, 2024)

EFSA: Towards Event-Level Financial Sentiment Analysis. - Tianyu Chen; Yiming Zhang; Guoxin Yu; Dapeng Zhang; Li Zeng; Qing He 003; Xiang Ao 001 (ACL (1), 2024)

Distillation with Explanations from Large Language Models. - Hanyu Zhang; Xiting Wang; Xiang Ao 001; Qing He 003 (LREC/COLING, 2024)

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. - Kuan Li; Yiwen Chen; Yang Liu 200; Jin Wang 007; Qing He 003; Minhao Cheng; Xiang Ao 001 (ICLR, 2024)

Differential Sampling of AC Waveforms Based on a Commercial Digital-to-Analog Converter for Reference. - Yanping Wang; Xiaogang Sun; Jianting Zhao; Kunli Zhou; Yunfeng Lu; Jifeng Qu; Pengcheng Hu; Qing He 003 (Sensors, 2024)

Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. - Zhiyu Guo; Xiang Ao 001; Qing He 003 (IEEE Trans. Comput. Soc. Syst., 2024)

Put Your Voice on Stage: Personalized Headline Generation for News Articles. - Xiang Ao 001; Ling Luo; Xiting Wang; Zhao Yang; Jiun-Hung Chen; Ying Qiao; Qing He 003; Xing Xie 001 (ACM Trans. Knowl. Discov. Data, 2024)

Personalized Prompt for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2024)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. - Chengao Li; Hanyu Zhang; Yunkun Xu; Hongyan Xue; Xiang Ao 001; Qing He 003 (ACL (1), 2025)

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. - Yiran Qiao; Xiang Ao 001; Yang Liu 200; Jiarong Xu; Xiaoqian Sun; Qing He 003 (WSDM, 2025)

SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. - Yuanhao Ding; Yang Liu 200; Yugang Ji; Weigao Wen; Qing He 003; Xiang Ao 001 (WWW, 2025)

Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. - Junhong Lian; Xiang Ao 001; Xinyu Liu; Yang Liu 200; Qing He 003 (WWW (Companion Volume), 2025)

Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. - Ying Sun 006; Yang Ji 004; Hengshu Zhu; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ACM Trans. Inf. Syst., 2025)