Qing He - RankMe

299 papers A* 68A 23B 6C 7Misc 5Journal 123Unranked 65

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid approach to formulaic alpha discovery with large language model assistance. Frontiers Comput. Sci. Shuo Yu, Hongyan Xue, Xiang Ao, Qing He
2026	J	`jnl`	Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment. CoRR Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He
2026	J	`jnl`	Graph-Agnostic Linear Transformers. Neural Networks Zhiyu Guo, Yang Liu, Xiang Ao, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He
2026	—	`conf`	Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. KDD (1) Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He
2026	J	`jnl`	Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. CoRR Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He
2025	A*	`conf`	Controlling Large Language Models Through Concept Activation Vectors. AAAI Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	J	`jnl`	Controlling Large Language Models Through Concept Activation Vectors. CoRR Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	A*	`conf`	Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes. ICDM Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao
2025	Misc	`conf`	Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization. ICASSP Yi Qiao, Yang Liu, Qing He, Xiang Ao
2025	A*	`conf`	Dynamic Graph Learning with Static Relations for Credit Risk Assessment. AAAI Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao
2025	—	`conf`	GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation. KDD (2) Zhiyu Guo, Yang Liu, Xiang Ao, Qing He
2025	—	`conf`	Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. ACL (1) Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He
2025	J	`jnl`	Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. CoRR Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He
2025	J	`jnl`	Knowledge Error Detection via Textual and Structural Joint Learning. Big Data Min. Anal. Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He
2025	A	`conf`	LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. WSDM Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
2025	J	`jnl`	Market-aware Long-term Job Skill Recommendation with Explainable Deep Reinforcement Learning. ACM Trans. Inf. Syst. Ying Sun, Yang Ji, Hengshu Zhu, Fuzhen Zhuang, Qing He, Hui Xiong
2025	—	`conf`	OFTEN: Graph Invariant Learning via Soft Environment Inference. DASFAA (3) Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He
2025	—	`conf`	Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. WWW (Companion Volume) Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He
2025	J	`jnl`	Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. CoRR Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He
2025	A*	`conf`	SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. WWW Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao
2024	A*	`conf`	Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. ICLR Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao
2024	—	`conf`	DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. LREC/COLING Ruize Yuan, Xiang Ao, Li Zeng, Qing He
2024	—	`conf`	Distillation with Explanations from Large Language Models. LREC/COLING Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He
2024	—	`conf`	EFSA: Towards Event-Level Financial Sentiment Analysis. ACL (1) Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
2024	J	`jnl`	EFSA: Towards Event-Level Financial Sentiment Analysis. CoRR Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
2024	Misc	`conf`	F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection. ICASSP Guanghui Hu, Yang Liu, Qing He, Xiang Ao
2024	J	`jnl`	LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. CoRR Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
2024	A*	`conf`	Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. AAAI Qiming Liu, Xiang Ao, Yuyao Guo, Qing He
2024	J	`jnl`	Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2024	J	`jnl`	Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
2024	J	`jnl`	Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. IEEE Trans. Comput. Soc. Syst. Zhiyu Guo, Xiang Ao, Qing He
2023	A*	`conf`	A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023	A*	`conf`	Attacking Pre-trained Recommendation. SIGIR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Attacking Pre-trained Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He
2023	A*	`conf`	FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
2023	A*	`conf`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	J	`jnl`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	A*	`conf`	Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
2023	A	`conf`	Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. CIKM Yuyao Guo, Xiang Ao, Qiming Liu, Qing He
2023	Misc	`conf`	Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. ICMLC Guang-Yu Cheng, Shuo Yu, Wen-Bin Jiang, Shuai Ma, Xiang Ao, Qing He
2023	A*	`conf`	Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
2023	J	`jnl`	Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2023	A*	`conf`	Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. SIGIR Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He
2023	A*	`conf`	Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. ICLR Kuan Li, Yang Liu, Xiang Ao, Qing He
2023	—	`conf`	Semantic-Driven Instance Generation for Table Question Answering. DASFAA (1) Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He
2023	A*	`conf`	Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He
2023	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2022	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2022	A*	`conf`	AUC-oriented Graph Neural Network for Fraud Detection. WWW Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	J	`jnl`	Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
2022	A	`conf`	Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022	—	`conf`	Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. DASFAA (1) Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	—	`conf`	CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. ISBI Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
2022	J	`jnl`	CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation. CoRR Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
2022	A	`conf`	Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. CIKM Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He
2022	B	`conf`	Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He
2022	—	`conf`	Customized Conversational Recommender Systems. ECML/PKDD (2) Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	J	`jnl`	Customized Conversational Recommender Systems. CoRR Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
2022	A	`conf`	Explainable Graph-based Fraud Detection via Neural Meta-graph Search. CIKM Zidi Qin, Yang Liu, Qing He, Xiang Ao
2022	J	`jnl`	Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2022	J	`jnl`	Learning policy scheduling for text augmentation. Neural Networks Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
2022	A*	`conf`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2022	J	`jnl`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2022	J	`jnl`	Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He
2022	—	`conf`	Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Personalized Prompts for Sequential Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
2022	A	`conf`	Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
2022	A*	`conf`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. KDD Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	J	`jnl`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. CoRR Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	A*	`conf`	Selective Fairness in Recommendation via Prompts. SIGIR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Selective Fairness in Recommendation via Prompts. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
2022	J	`jnl`	Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Trans. Knowl. Data Eng. Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He
2022	A*	`conf`	UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD Yang Liu, Xiang Ao, Fuli Feng, Qing He
2022	A*	`conf`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	J	`jnl`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2021	J	`jnl`	A Comprehensive Survey on Transfer Learning. Proc. IEEE Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2021	—	`conf`	A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. CISP-BMEI Zhipeng Zhang, Ling Ma, Yuan Chang, Li Xiao, Qing He, CongHui Ma, Huiqin Jiang
2021	A*	`conf`	AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021	J	`jnl`	AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He
2021	A	`conf`	Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He
2021	—	`conf`	An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He
2021	—	`conf`	BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye
2021	—	`conf`	ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. ACL/IJCNLP (1) Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li
2021	J	`jnl`	ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. CoRR Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li
2021	J	`jnl`	Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
2021	—	`conf`	ConRPG: Paraphrase Generation using Contexts as Regularizer. EMNLP (1) Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li
2021	J	`jnl`	ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li
2021	A*	`conf`	Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. CoRR Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	J	`jnl`	Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
2021	A*	`conf`	Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong
2021	J	`jnl`	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2021	A*	`conf`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2021	J	`jnl`	GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2021	A*	`conf`	GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. WWW Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2021	A*	`conf`	Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. KDD Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang
2021	J	`jnl`	Knowledge graph embedding with shared latent semantic units. Neural Networks Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
2021	A	`conf`	Low-dimensional Alignment for Cross-Domain Recommendation. CIKM Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021	—	`conf`	Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. ACL/IJCNLP (Findings) Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He
2021	J	`jnl`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2021	A*	`conf`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2021	J	`jnl`	Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2021	J	`jnl`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2021	—	`conf`	PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
2021	J	`jnl`	Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2021	A*	`conf`	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. WWW Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2021	—	`conf`	Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. EMNLP (Findings) Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He
2021	J	`jnl`	Temporal high-order proximity aware behavior analysis on Ethereum. World Wide Web Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He
2021	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2021	A*	`conf`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2021	J	`jnl`	Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He
2020	J	`jnl`	A Survey on Knowledge Graph-Based Recommender Systems. CoRR Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2020	A	`conf`	Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. CIKM Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He
2020	C	`conf`	CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
2020	A	`conf`	Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
2020	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2020	A*	`conf`	Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
2020	J	`jnl`	Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2020	A*	`conf`	Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. WWW Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He
2020	A*	`conf`	Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He
2020	A*	`conf`	Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. KDD Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang
2020	J	`jnl`	Graph Factorization Machines for Cross-Domain Recommendation. CoRR Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He
2020	A*	`conf`	Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He
2020	A*	`conf`	Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He
2020	J	`jnl`	Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He
2020	A*	`conf`	Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He
2020	J	`jnl`	Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2020	A*	`conf`	Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He
2020	J	`jnl`	Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong
2020	A*	`conf`	Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS Feiyang Pan, Jia He, Dandan Tu, Qing He
2020	J	`jnl`	Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR Feiyang Pan, Jia He, Dandan Tu, Qing He
2019	J	`jnl`	A Comprehensive Survey on Transfer Learning. CoRR Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He
2019	—	`conf`	Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He
2019	J	`jnl`	Atom Responding Machine for Dialog Generation. CoRR Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He
2019	J	`jnl`	Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin
2019	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2019	J	`jnl`	Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2019	J	`jnl`	Grid-based DBSCAN: Indexing and inference. Pattern Recognit. Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He
2019	J	`jnl`	Knowledge triple mining via multi-task learning. Inf. Syst. Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong
2019	J	`jnl`	Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Trans. Intell. Syst. Technol. Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He
2019	J	`jnl`	Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2019	A*	`conf`	Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2019	J	`jnl`	Multi-Aspect Embedding for Attribute-Aware Trajectories. Symmetry Thapana Boonchoo, Xiang Ao, Qing He
2019	J	`jnl`	Multi-representation adaptation network for cross-domain image classification. Neural Networks Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He
2019	A*	`conf`	Policy Gradients for Contextual Recommendations. WWW Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2019	A*	`conf`	Policy Optimization with Model-Based Explorations. AAAI Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
2019	—	`conf`	Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He
2019	J	`jnl`	Supervised representation learning for multi-label classification. Mach. Learn. Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
2019	A*	`conf`	The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong
2019	J	`jnl`	Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. CoRR Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He
2019	J	`jnl`	Transfer Learning Toolkit: Primers and Benchmarks. CoRR Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He
2019	A*	`conf`	Unsupervised Neural Aspect Extraction with Sememes. IJCAI Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu
2019	A*	`conf`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2019	J	`jnl`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2018	A*	`conf`	A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He
2018	J	`jnl`	An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data. CoRR Thapana Boonchoo, Xiang Ao, Qing He
2018	A*	`conf`	Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2018	A*	`conf`	Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. IJCAI Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
2018	J	`jnl`	Cross-domain novelty seeking trait mining for sequential recommendation. CoRR Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2018	J	`jnl`	Discovering and learning sensational episodes of news events. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2018	A*	`conf`	Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. AAAI Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He
2018	A*	`conf`	Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He
2018	—	`conf`	Free-Rider Episode Screening via Dual Partition Model. DASFAA (1) Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
2018	J	`jnl`	Free-rider Episode Screening via Dual Partition Model. CoRR Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
2018	J	`jnl`	Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. CoRR Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He
2018	A*	`conf`	Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He
2018	J	`jnl`	Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2018	A	`conf`	MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He
2018	J	`jnl`	Policy Gradients for Contextual Bandits. CoRR Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2018	J	`jnl`	Policy Optimization with Model-based Explorations. CoRR Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
2018	J	`jnl`	Predicting compositional time series via autoregressive Dirichlet estimation. Sci. China Inf. Sci. Ganbin Zhou, Ping Luo, Qing He
2018	J	`jnl`	Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2018	J	`jnl`	Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He
2018	J	`jnl`	Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
2018	J	`jnl`	Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He
2018	A*	`conf`	Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. AAAI Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He
2017	A*	`conf`	Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He
2017	A*	`conf`	Mining Precise-Positioning Episode Rules from Event Sequences. ICDE Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2017	A*	`conf`	Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long
2017	A	`conf`	Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He
2017	J	`jnl`	Representation learning via Dual-Autoencoder for recommendation. Neural Networks Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
2017	—	`conf`	Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2017	C	`conf`	Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He
2017	J	`jnl`	Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. CoRR Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He
2016	J	`jnl`	Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He
2016	—	`conf`	Bayesian Group Feature Selection for Support Vector Learning Machines. PAKDD (1) Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long
2016	A*	`conf`	Browsing Regularities in Hedonic Content Systems. IJCAI Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He
2016	A	`conf`	Ensemble of Anchor Adapters for Transfer Learning. CIKM Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He
2016	A*	`conf`	From Online Behaviors to Offline Retailing. KDD Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He
2016	—	`conf`	Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long
2016	A*	`conf`	Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long
2016	A	`conf`	Online Bayesian Multiple Kernel Bipartite Ranking. UAI Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li
2015	J	`jnl`	A new solution algorithm for solving rule-sets based bilevel decision problems. Concurr. Comput. Pract. Exp. Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi
2015	A*	`conf`	Bayesian Maximum Margin Principal Component Analysis. AAAI Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi
2015	A	`conf`	Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He
2015	A	`conf`	Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang
2015	A	`conf`	Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He
2015	B	`conf`	Improving ESVM with Generalized Cross-Validation. IJCNN Tianshu Feng, Fuzhen Zhuang, Qing He
2015	J	`jnl`	Learning deep representations via extreme learning machines. Neurocomputing Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2015	A*	`conf`	Online Frequent Episode Mining. ICDE Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2015	J	`jnl`	Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2015	J	`jnl`	QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi
2015	A*	`conf`	Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He
2015	A*	`conf`	Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He
2014	—	`conf`	Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014	J	`jnl`	Clustering in extreme learning machine feature space. Neurocomputing Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi
2014	J	`jnl`	Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2014	—	`conf`	Discovering and learning sensational episodes of news events. WWW (Companion Volume) Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014	A	`conf`	Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He
2014	A	`conf`	Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He
2014	—	`conf`	Parallel feature selection using positive approximation based on MapReduce. FSKD Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi
2014	A*	`conf`	Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi
2014	C	`conf`	Scalable bootstrap clustering for massive data. SNPD Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi
2014	—	`conf`	Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi
2014	J	`jnl`	Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong
2013	C	`conf`	A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013	A*	`conf`	Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi
2013	—	`conf`	Embedding with Autoencoder Regularization. ECML/PKDD (3) Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2013	J	`jnl`	Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2013	B	`conf`	Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi
2013	J	`jnl`	Parallel Implementation of Apriori Algorithm Based on MapReduce. Int. J. Networked Distributed Comput. Ning Li, Li Zeng, Qing He, Zhongzhi Shi
2013	J	`jnl`	Parallel extreme learning machine for regression based on MapReduce. Neurocomputing Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi
2013	—	`conf`	Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi
2013	A	`conf`	Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi
2012	J	`jnl`	Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl. Inf. Syst. Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi
2012	—	`conf`	Effectively Constructing Reliable Data for Cross-Domain Text Classification. IIP Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	J	`jnl`	Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2012	J	`jnl`	Extracting discriminative features for CBIR. Multim. Tools Appl. Zhiping Shi, Xi Liu, Qingyong Li, Qing He, Zhongzhi Shi
2012	—	`conf`	Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012	J	`jnl`	Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2012	A*	`conf`	Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	J	`jnl`	Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi
2012	—	`conf`	PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. IIP Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	—	`conf`	Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi
2012	C	`conf`	Parallel Implementation of Apriori Algorithm Based on MapReduce. SNPD Ning Li, Li Zeng, Qing He, Zhongzhi Shi
2012	—	`conf`	Parallel Max-Min Ant System Using MapReduce. ICSI (1) Qing Tan, Qing He, Zhongzhi Shi
2012	—	`conf`	Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2012	—	`conf`	TINAC: A fast and effective web video topic detection framework. FSKD Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2011	J	`jnl`	A parallel incremental extreme SVM classifier. Neurocomputing Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
2011	J	`jnl`	An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. Comput. Intell. Guangquan Zhang, Zheng Zheng, Jie Lu, Qing He
2011	J	`jnl`	An improved FCMBP fuzzy clustering method based on evolutionary programming. Comput. Math. Appl. Qing Tan, Qing He, Weizhong Zhao, Zhongzhi Shi, E. Stanley Lee
2011	J	`jnl`	CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree. Soft Comput. Qing He, Weizhong Zhao, Zhongzhi Shi
2011	A*	`conf`	Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2011	J	`jnl`	Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
2011	C	`conf`	Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi
2011	—	`conf`	The improved non-negative Matrix Factorization algorithm for document clustering. FSKD Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi
2010	Misc	`conf`	A HSC-based sample selection method for support vector machine. ICMLC Qing He, Ning Li, Zhongzhi Shi
2010	—	`conf`	A noise handling method for hyper surface classification. FSKD Tingting Li, Fuzhen Zhuang, Qing He
2010	A	`conf`	Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong
2010	J	`jnl`	Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi
2010	A*	`conf`	D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi
2010	—	`conf`	Effectively Leveraging Entropy and Relevance for Summarization. AIRS Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2010	A	`conf`	Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi
2010	—	`conf`	Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi
2010	A*	`conf`	Nonparametric Curve Extraction Based on Ant Colony System. AAAI Qing Tan, Qing He, Zhongzhi Shi
2010	—	`conf`	Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi
2010	—	`conf`	The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce. RSKT Qing He, Qing Tan, Xudong Ma, Zhongzhi Shi
2009	—	`conf`	Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. Web Intelligence Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi
2009	J	`jnl`	An index and retrieval framework integrating perceptive features and semantics for multimedia databases. Multim. Tools Appl. Zhiping Shi, Qing He, Zhongzhi Shi
2009	—	`conf`	Detecting Unusual Pattern with Labeled Data in Two-Stage. FSKD (1) Jincheng Li, Qing He, Zhongzhi Shi
2009	C	`conf`	Parallel CloudCom Weizhong Zhao, Huifang Ma, Qing He
2009	—	`conf`	Rule Extraction and Reduction for Hyper Surface Classification. ISNN (2) Qing He, Jincheng Li, Zhongzhi Shi
2009	J	`jnl`	Rule sets based bilevel decision model and algorithm. Expert Syst. Appl. Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He
2008	—	`ch.`	Bayes-Based Relevance Feedback Method for CBIR. Innovations in Hybrid Intelligent Systems Zhiping Shi, Qing He, Zhongzhi Shi
2008	B	`conf`	Extreme Support Vector Machine Classifier. PAKDD Qiuge Liu, Qing He, Zhongzhi Shi
2008	—	`conf`	Geodesic distance based multi-document summarization. NLPKE Huifang Ma, Qing He, Zhongzhi Shi
2008	J	`jnl`	Minimal Consistent Subset for Hyper Surface Classification Method. Int. J. Pattern Recognit. Artif. Intell. Qing He, Xiu-Rong Zhao, Zhongzhi Shi
2008	—	`conf`	The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) Qing He, Fuzhen Zhuang, Zhongzhi Shi
2008	A	`conf`	Transfer learning from multiple source domains via consensus regularization. CIKM Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He
2007	—	`conf`	A Cognitive Data Visualization Method Based on Hyper Surface. IEEE ICCI Qing He, Xiu-Rong Zhao, Zhongzhi Shi
2007	J	`jnl`	Classification based on dimension transposition for high dimension data. Soft Comput. Qing He, Xiu-Rong Zhao, Zhongzhi Shi
2007	—	`conf`	Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues. AIS-ADM Qing He, Xiu-Rong Zhao, Ping Luo, Zhongzhi Shi
2007	—	`conf`	Data Selection for Nonlinear Proximal Support Vector Machine. ICNC (1) Qiuge Liu, Qing He, Zhongzhi Shi
2007	J	`jnl`	Distributed data mining in grid computing environments. Future Gener. Comput. Syst. Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
2007	—	`conf`	Incremental Nonlinear Proximal Support Vector Machine. ISNN (3) Qiuge Liu, Qing He, Zhongzhi Shi
2007	J	`jnl`	MSMiner - a developing platform for OLAP. Decis. Support Syst. Zhongzhi Shi, Youping Huang, Qing He, Lida Xu, Shaohui Liu, Liangxi Qin, Ziyan Jia, Jiayou Li, Huijing Huang, Lei Zhao
2007	J	`jnl`	On Defining Partition Entropy by Inequalities. IEEE Trans. Inf. Theory Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, Kevin Lü
2007	B	`conf`	Research on Business Intelligence in enterprise computing environment. SMC Lida Xu, Li Zeng, Zhongzhi Shi, Qing He, Maoguang Wang
2006	—	`conf`	A Heterogeneous Computing System for Data Mining Workflows. BNCOD Ping Luo, Kevin Lü, Qing He, Zhongzhi Shi
2006	—	`conf`	A New Method for Modeling Principal Curve. IIP Jisheng Hao, Qing He, Zhongzhi Shi
2006	J	`jnl`	A heterogeneous computing system for data mining workflows in multi-agent environments. Expert Syst. J. Knowl. Eng. Ping Luo, Kevin Lü, Rui Huang, Qing He, Zhongzhi Shi
2006	—	`conf`	Granule Sets Based Bilevel Decision Model. RSKT Zheng Zheng, Qing He, Zhongzhi Shi
2006	—	`conf`	HyperSurface Classifiers Ensemble for High Dimensional Data Sets. ISNN (1) Xiu-Rong Zhao, Qing He, Zhongzhi Shi
2006	B	`conf`	Multi-modal Services for Web Information Collection Based on Multi-agent Techniques. PRIMA Qing He, Xiu-Rong Zhao, Sulan Zhang
2006	—	`conf`	Rule sets based bilevel decision model. ACSC Zheng Zheng, Guangquan Zhang, Qing He, Jie Lu, Zhongzhi Shi
2005	—	`conf`	Execution Engine of Meta-learning System for KDD in Multi-agent Environment. AIS-ADM Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Shi
2005	—	`ed.`	Intelligent Information Processing II, IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP 2004), October 21-23, 2004, Beijing, China IIP Zhongzhi Shi, Qing He
2005	—	`conf`	Theoretical study on a new information entropy and its use in attribute reduction. IEEE ICCI Ping Luo, Qing He, Zhongzhi Shi
2004	—	`conf`	A Prediction Approach to Well Logging. IIP Qing He, Ping Luo, Zhongzhi Shi, Yalei Hao, Markus Stumptner
2004	Misc	`conf`	Data Mining by MOUCLAS Algorithm for Petroleum Reservoir Characterization from Well Logging Data. AIAI Yalei Hao, Markus Stumptner, Gerald Quirchmayr, Qing He
2004	—	`conf`	Intelligent Technology for Well Logging Analysis. IIP Zhongzhi Shi, Ping Luo, Yalei Hao, Guohe Li, Markus Stumptner, Qing He, Gerald Quirchmayr
2003	J	`jnl`	Intelligence Chinese Document Semantic Indexing System. Int. J. Inf. Technol. Decis. Mak. Zhongzhi Shi, Qing He, Ziyan Jia, Jiayou Li
2002	—	`conf`	IDSIS: Intelligent Document Semantic Indexing System. IIP Zhongzhi Shi, Bin Wu, Qing He, Xiujun Gong, Shaohui Liu, Yi Zheng