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ORCIDQing He 0003
Person information
- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China
Other persons with the same name
- Qing He — disambiguation page
- Qing He 0001 — Massachusetts Institute of Technology, Cambridge, USA
- Qing He 0002
![[0000-0002-6213-8561]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6213-8561")
— Linköping University, Sweden - Qing He 0004 — Northeast Forestry University, College of Engineering and Technology, Harbin, China
- Qing He 0005 — National Institute of Metrology, Beijing, China (and 1 more)
- Qing He 0006 — University of Pennsylvania, Philadelphia, PA, USA (and 1 more)
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2020 – today
- 2024
[j70]Yanping Wang, Xiaogang Sun, Jianting Zhao, Kunli Zhou, Yunfeng Lu, Jifeng Qu, Pengcheng Hu, Qing He:
Differential Sampling of AC Waveforms Based on a Commercial Digital-to-Analog Converter for Reference. Sensors 24(7): 2228 (2024)- [j69]Zhiyu Guo, Xiang Ao, Qing He:
Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. IEEE Trans. Comput. Soc. Syst. 11(2): 1675-1684 (2024) - [j68]Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie:
Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data 18(3): 54:1-54:20 (2024) - [j67]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3376-3389 (2024) - [c161]Qiming Liu, Xiang Ao, Yuyao Guo, Qing He:
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. AAAI 2024: 8796-8804 - [c160]Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao:
EFSA: Towards Event-Level Financial Sentiment Analysis. ACL (1) 2024: 7455-7467 - [c159]Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He:
Distillation with Explanations from Large Language Models. LREC/COLING 2024: 5018-5028 - [c158]Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao:
Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. ICLR 2024 - [i45]Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao:
EFSA: Towards Event-Level Financial Sentiment Analysis. CoRR abs/2404.08681 (2024) - 2023
- [j66]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhi-Ping Shi, Juan Cao, Qing He:
Combat data shift in few-shot learning with knowledge graph. Frontiers Comput. Sci. 17(1): 171305 (2023) - [j65]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
Modeling the Impact of Person-Organization Fit on Talent Management With Structure-Aware Attentive Neural Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2809-2822 (2023) - [j64]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023) - [c157]Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He:
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI 2023: 11443-11451 - [c156]Yuyao Guo, Xiang Ao, Qiming Liu, Qing He:
Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. CIKM 2023: 3918-3922 - [c155]Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He:
Semantic-Driven Instance Generation for Table Question Answering. DASFAA (1) 2023: 3-18 - [c154]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract. ICDE 2023: 3803-3804 - [c153]Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE 2023: 3815-3816 - [c152]Kuan Li, Yang Liu, Xiang Ao, Qing He:
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. ICLR 2023 - [c151]Guang-Yu Cheng, Shuo Yu, Wenbin Jiang, Shuai Ma, Xiang Ao, Qing He:
Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. ICMLC 2023: 303-309 - [c150]Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He:
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD 2023: 1548-1558 - [c149]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD 2023: 5476-5486 - [c148]Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He:
Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. SIGIR 2023: 1406-1415 - [c147]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c146]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [i44]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023) - [i43]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR abs/2306.12964 (2023) - 2022
- [j63]Feiyang Pan, Shuokai Li, Xiang Ao, Qing He:
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16(2): 162307 (2022) - [j62]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j61]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j60]Shuokai Li, Xiang Ao, Feiyang Pan, Qing He:
Learning policy scheduling for text augmentation. Neural Networks 145: 121-127 (2022) - [j59]Jinming Yang, Qing He, Yang Liu:
Winter-Spring Prediction of Snow Avalanche Susceptibility Using Optimisation Multi-Source Heterogeneous Factors in the Western Tianshan Mountains, China. Remote. Sens. 14(6): 1340 (2022) - [j58]Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He:
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Trans. Knowl. Data Eng. 34(1): 462-474 (2022) - [j57]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(8): 3549-3568 (2022) - [c145]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI 2022: 4345-4353 - [c144]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c143]Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538 - [c142]Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He:
Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. CIKM 2022: 3983-3987 - [c141]Zidi Qin, Yang Liu, Qing He, Xiang Ao:
Explainable Graph-based Fraud Detection via Neural Meta-graph Search. CIKM 2022: 4414-4418 - [c140]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c139]Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. DASFAA (1) 2022: 387-394 - [c138]Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He:
CCAT-NET: A Novel Transformer Based Semi-Supervised Framework For Covid-19 Lung Lesion Segmentation. ISBI 2022: 1-5 - [c137]Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. KDD 2022: 925-935 - [c136]Yang Liu, Xiang Ao, Fuli Feng, Qing He:
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD 2022: 1131-1140 - [c135]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. ECML/PKDD (2) 2022: 740-756 - [c134]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR 2022: 223-233 - [c133]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c132]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM 2022: 1507-1515 - [c131]Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
AUC-oriented Graph Neural Network for Fraud Detection. WWW 2022: 1311-1321 - [i42]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR abs/2201.00014 (2022) - [i41]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhi-Ping Shi, Wenjuan Wu, Qing He:
Multi-Representation Adaptation Network for Cross-domain Image Classification. CoRR abs/2201.01002 (2022) - [i40]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. CoRR abs/2201.01004 (2022) - [i39]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR abs/2203.10576 (2022) - [i38]Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He:
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation. CoRR abs/2204.02839 (2022) - [i37]Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He:
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR abs/2204.09263 (2022) - [i36]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. CoRR abs/2205.04682 (2022) - [i35]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompts for Sequential Recommendation. CoRR abs/2205.09666 (2022) - [i34]Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. CoRR abs/2207.00012 (2022) - [i33]Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong:
Customized Conversational Recommender Systems. CoRR abs/2207.00814 (2022) - 2021
- [j56]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He:
Knowledge graph embedding with shared latent semantic units. Neural Networks 139: 140-148 (2021) - [j55]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. Proc. IEEE 109(1): 43-76 (2021) - [j54]Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33(7): 2903-2913 (2021) - [j53]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1713-1722 (2021) - [j52]Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He:
Temporal high-order proximity aware behavior analysis on Ethereum. World Wide Web 24(5): 1565-1585 (2021) - [c130]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. AAAI 2021: 14957-14965 - [c129]Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie:
PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) 2021: 82-92 - [c128]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. ACL/IJCNLP (1) 2021: 2065-2075 - [c127]Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He:
Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. ACL/IJCNLP (Findings) 2021: 2695-2705 - [c126]Zhipeng Zhang, Ling Ma, Yuan Chang, Li Xiao, Qing He, Conghui Ma, Huiqin Jiang:
A Practical Polyp Detecting Model in Colonoscopy Video by Post-processing. CISP-BMEI 2021: 1-6 - [c125]Runchuan Wang, Zhao Zhang, Fuzhen Zhuang, Dehong Gao, Yi Wei, Qing He:
Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. CIKM 2021: 3498-3502 - [c124]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c123]Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He:
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. EMNLP (Findings) 2021: 1331-1342 - [c122]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. EMNLP (1) 2021: 2551-2562 - [c121]Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye:
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) 2021: 40-50 - [c120]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. IJCAI 2021: 2235-2241 - [c119]Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang:
Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. KDD 2021: 3280-3288 - [c118]Ying Sun, Hengshu Zhu, Chuan Qin, Fuzhen Zhuang, Qing He, Hui Xiong:
Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation. NeurIPS 2021: 17221-17234 - [c117]Zhipeng Zhang, Li Xiao, Fuzhen Zhuang, Ling Ma, Yuan Chang, Yuanyuan Wang, Huiqin Jiang, Qing He:
An Efficient Polyp Detection Framework with Suspicious Targets Assisted Training. PRCV (4) 2021: 536-547 - [c116]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR 2021: 1813-1817 - [c115]Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR 2021: 1915-1919 - [c114]Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. WWW 2021: 2314-2323 - [c113]Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He:
Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. WWW 2021: 3168-3177 - [c112]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong:
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW 2021: 3827-3838 - [i32]Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He:
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR abs/2101.11354 (2021) - [i31]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR abs/2105.04785 (2021) - [i30]Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang, Huiqin Jiang, Qing He:
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction. CoRR abs/2106.08732 (2021) - [i29]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He:
Deep Subdomain Adaptation Network for Image Classification. CoRR abs/2106.09388 (2021) - [i28]Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li:
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. CoRR abs/2106.16038 (2021) - [i27]Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR abs/2107.08383 (2021) - [i26]Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR abs/2108.06167 (2021) - [i25]Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li:
ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR abs/2109.00363 (2021) - [i24]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR abs/2110.11154 (2021) - [i23]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021) - [i22]Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He:
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR abs/2112.13510 (2021) - [i21]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR abs/2112.15285 (2021) - [i20]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR abs/2112.15290 (2021) - [i19]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. CoRR abs/2112.15292 (2021) - 2020
- [j51]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. 93: 101364 (2020) - [j50]Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong:
Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. 35(2): 305-319 (2020) - [j49]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian max-margin subspace learning for multi-view classification and regression. Mach. Learn. 109(2): 219-249 (2020) - [j48]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He:
Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks 132: 75-83 (2020) - [c111]Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Zhi-Ping Shi, Hui Xiong, Qing He:
Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion. AAAI 2020: 9612-9619 - [c110]Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - [c109]Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He:
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. CIKM 2020: 2125-2128 - [c108]Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020: 529-536 - [c107]Yiqing Wu, Ying Sun, Fuzhen Zhuang, Deqing Wang, Xiangliang Zhang, Qing He:
Meta-path Hierarchical Heterogeneous Graph Convolution Network for High Potential Scholar Recognition. ICDM 2020: 1334-1339 - [c106]Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang:
Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. KDD 2020: 3035-3043 - [c105]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS 2020 - [c104]Dongbo Xi, Fuzhen Zhuang, Bowen Song, Yongchun Zhu, Shuai Chen, Dan Hong, Tao Chen, Xi Gu, Qing He:
Neural Hierarchical Factorization Machines for User's Event Sequence Analysis. SIGIR 2020: 1893-1896 - [c103]Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He:
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. WWW 2020: 729-739 - [c102]Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He:
Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW 2020: 785-795 - [c101]Yongchun Zhu, Dongbo Xi, Bowen Song, Fuzhen Zhuang, Shuai Chen, Xi Gu, Qing He:
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud Detection. WWW 2020: 928-938 - [c100]Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He:
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW 2020: 3133-3139 - [i18]Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He:
A Survey on Knowledge Graph-Based Recommender Systems. CoRR abs/2003.00911 (2020) - [i17]Dongbo Xi, Fuzhen Zhuang, Yongchun Zhu, Pengpeng Zhao, Xiangliang Zhang, Qing He:
Graph Factorization Machines for Cross-Domain Recommendation. CoRR abs/2007.05911 (2020) - [i16]Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. CoRR abs/2008.05600 (2020) - [i15]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR abs/2010.04893 (2020)
2010 – 2019
- 2019
- [j47]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j46]Zhao Zhang, Fuzhen Zhuang, Xuebing Li, Zheng-Yu Niu, Jia He, Qing He, Hui Xiong:
Knowledge triple mining via multi-task learning. Inf. Syst. 80: 64-75 (2019) - [j45]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. 81: 178 (2019) - [j44]Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He:
Supervised representation learning for multi-label classification. Mach. Learn. 108(5): 747-763 (2019) - [j43]Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. Neural Networks 119: 214-221 (2019) - [j42]Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He:
Grid-based DBSCAN: Indexing and inference. Pattern Recognit. 90: 271-284 (2019) - [j41]Thapana Boonchoo, Xiang Ao, Qing He:
Multi-Aspect Embedding for Attribute-Aware Trajectories. Symmetry 11(9): 1149 (2019) - [j40]Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He:
Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Trans. Intell. Syst. Technol. 10(4): 36:1-36:26 (2019) - [c99]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. AAAI 2019: 4675-4682 - [c98]Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He:
Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI 2019: 5458-5465 - [c97]Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He:
Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) 2019: 3031-3041 - [c96]Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu:
Unsupervised Neural Aspect Extraction with Sememes. IJCAI 2019: 5123-5129 - [c95]Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Xin Song, Qing He, Hui Xiong:
The Impact of Person-Organization Fit on Talent Management: A Structure-Aware Convolutional Neural Network Approach. KDD 2019: 1625-1633 - [c94]Yongchun Zhu, Fuzhen Zhuang, Jingyuan Yang, Xi Yang, Qing He:
Adaptively Transfer Category-Classifier for Handwritten Chinese Character Recognition. PAKDD (1) 2019: 110-122 - [c93]Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR 2019: 695-704 - [c92]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - [i14]Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR abs/1904.11547 (2019) - [i13]Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He:
Atom Responding Machine for Dialog Generation. CoRR abs/1905.05532 (2019) - [i12]Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He:
Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. CoRR abs/1905.10713 (2019) - [i11]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. CoRR abs/1910.04420 (2019) - [i10]Changying Du, Jia He, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning. CoRR abs/1910.05250 (2019) - [i9]Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, Dongbo Xi, Yongchun Zhu, Hengshu Zhu, Hui Xiong, Qing He:
A Comprehensive Survey on Transfer Learning. CoRR abs/1911.02685 (2019) - [i8]Fuzhen Zhuang, Keyu Duan, Tongjia Guo, Yongchun Zhu, Dongbo Xi, Zhiyuan Qi, Qing He:
Transfer Learning Toolkit: Primers and Benchmarks. CoRR abs/1911.08967 (2019) - 2018
- [j39]Ganbin Zhou, Ping Luo, Qing He:
Predicting compositional time series via autoregressive Dirichlet estimation. Sci. China Inf. Sci. 61(9): 098106:1-098106:3 (2018) - [j38]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Discovering and learning sensational episodes of news events. Inf. Syst. 78: 68-80 (2018) - [j37]Ning Li, Wenjuan Luo, Kun Yang, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Self-organizing weighted incremental probabilistic latent semantic analysis. Int. J. Mach. Learn. Cybern. 9(12): 1987-1998 (2018) - [j36]Fuzhen Zhuang, Jing Zheng, Jingwu Chen, Xiangliang Zhang, Chuan Shi, Qing He:
Transfer collaborative filtering from multiple sources via consensus regularization. Neural Networks 108: 287-295 (2018) - [j35]Fuzhen Zhuang, Xuebing Li, Xin Jin, Dapeng Zhang, Lirong Qiu, Qing He:
Semantic Feature Learning for Heterogeneous Multitask Classification via Non-Negative Matrix Factorization. IEEE Trans. Cybern. 48(8): 2284-2293 (2018) - [j34]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning with Double Encoding-Layer Autoencoder for Transfer Learning. ACM Trans. Intell. Syst. Technol. 9(2): 16:1-16:17 (2018) - [j33]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. 30(3): 530-543 (2018) - [c91]Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. AAAI 2018: 5722-5729 - [c90]Ganbin Zhou, Ping Luo, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
Elastic Responding Machine for Dialog Generation with Dynamically Mechanism Selecting. AAAI 2018: 5730-5737 - [c89]Zhao Zhang, Fuzhen Zhuang, Zheng-Yu Niu, Deqing Wang, Qing He:
MultiE: Multi-Task Embedding for Knowledge Base Completion. CIKM 2018: 1715-1718 - [c88]Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He:
Free-Rider Episode Screening via Dual Partition Model. DASFAA (1) 2018: 665-683 - [c87]Zhao Zhang, Fuzhen Zhuang, Meng Qu, Fen Lin, Qing He:
Knowledge Graph Embedding with Hierarchical Relation Structure. EMNLP 2018: 3198-3207 - [c86]Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018: 1001-1006 - [c85]Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He:
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. IJCAI 2018: 4244-4250 - [c84]Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He:
Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries. KDD 2018: 2269-2278 - [c83]Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He:
Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR 2018: 909-912 - [i7]Thapana Boonchoo, Xiang Ao, Qing He:
An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data. CoRR abs/1801.06965 (2018) - [i6]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. CoRR abs/1802.04162 (2018) - [i5]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Cross-domain novelty seeking trait mining for sequential recommendation. CoRR abs/1803.01542 (2018) - [i4]Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He:
Free-rider Episode Screening via Dual Partition Model. CoRR abs/1805.07505 (2018) - [i3]Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He:
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. CoRR abs/1808.07228 (2018) - [i2]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-based Explorations. CoRR abs/1811.07350 (2018) - 2017
- [j32]Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He:
Representation learning via Dual-Autoencoder for recommendation. Neural Networks 90: 83-89 (2017) - [c82]Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He:
Mechanism-Aware Neural Machine for Dialogue Response Generation. AAAI 2017: 3400-3407 - [c81]Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He:
Mining Precise-Positioning Episode Rules from Event Sequences. ICDE 2017: 83-86 - [c80]Jia He, Changying Du, Changde Du, Fuzhen Zhuang, Qing He, Guoping Long:
Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel. IJCAI 2017: 1830-1836 - [c79]Fuzhen Zhuang, Lang Huang, Jia He, Jixin Ma, Qing He:
Transfer Learning with Manifold Regularized Convolutional Neural Network. KSEM 2017: 483-494 - [c78]Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. WSDM 2017: 567-575 - [c77]Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He:
Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) 2017: 881-882 - [i1]Ganbin Zhou, Ping Luo, Rongyu Cao, Yijun Xiao, Fen Lin, Bo Chen, Qing He:
Tree-Structured Neural Machine for Linguistics-Aware Sentence Generation. CoRR abs/1705.00321 (2017) - 2016
- [j31]Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He:
Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. 20(5): 1085-1099 (2016) - [c76]Fuzhen Zhuang, Ping Luo, Sinno Jialin Pan, Hui Xiong, Qing He:
Ensemble of Anchor Adapters for Transfer Learning. CIKM 2016: 2335-2340 - [c75]Jia He, Changying Du, Fuzhen Zhuang, Xin Yin, Qing He, Guoping Long:
Online Bayesian Max-Margin Subspace Multi-View Learning. IJCAI 2016: 1555-1561 - [c74]Ping Luo, Ganbin Zhou, Jiaxi Tang, Rui Chen, Zhongjie Yu, Qing He:
Browsing Regularities in Hedonic Content Systems. IJCAI 2016: 3811-3817 - [c73]Ping Luo, Su Yan, Zhiqiang Liu, Zhiyong Shen, Shengwen Yang, Qing He:
From Online Behaviors to Offline Retailing. KDD 2016: 175-184 - [c72]Changde Du, Changying Du, Shandian Zhe, Ali Luo, Qing He, Guoping Long:
Bayesian Group Feature Selection for Support Vector Learning Machines. PAKDD (1) 2016: 239-252 - [c71]Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long:
Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling. ECML/PKDD (1) 2016: 148-164 - [c70]Changying Du, Changde Du, Guoping Long, Qing He, Yucheng Li:
Online Bayesian Multiple Kernel Bipartite Ranking. UAI 2016 - 2015
- [j30]Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi:
A new solution algorithm for solving rule-sets based bilevel decision problems. Concurr. Comput. Pract. Exp. 27(4): 830-854 (2015) - [j29]Qing He, Haocheng Wang, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel sampling from big data with uncertainty distribution. Fuzzy Sets Syst. 258: 117-133 (2015) - [j28]Wenchao Yu, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Learning deep representations via extreme learning machines. Neurocomputing 149: 308-315 (2015) - [j27]Wenjuan Luo, Fuzhen Zhuang, Weizhong Zhao, Qing He, Zhongzhi Shi:
QPLSA: Utilizing quad-tuples for aspect identification and rating. Inf. Process. Manag. 51(1): 25-41 (2015) - [c69]Changying Du, Shandian Zhe, Fuzhen Zhuang, Yuan Qi, Qing He, Zhongzhi Shi:
Bayesian Maximum Margin Principal Component Analysis. AAAI 2015: 2582-2588 - [c68]Xin Jin, Ping Luo, Fuzhen Zhuang, Jia He, Qing He:
Collaborating between Local and Global Learning for Distributed Online Multiple Tasks. CIKM 2015: 113-122 - [c67]Xin Jin, Fuzhen Zhuang, Sinno Jialin Pan, Changying Du, Ping Luo, Qing He:
Heterogeneous Multi-task Semantic Feature Learning for Classification. CIKM 2015: 1847-1850 - [c66]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He:
Online Frequent Episode Mining. ICDE 2015: 891-902 - [c65]Fuzhen Zhuang, Dan Luo, Xin Jin, Hui Xiong, Ping Luo, Qing He:
Representation Learning via Semi-Supervised Autoencoder for Multi-task Learning. ICDM 2015: 1141-1146 - [c64]Fuzhen Zhuang, Xiaohu Cheng, Ping Luo, Sinno Jialin Pan, Qing He:
Supervised Representation Learning: Transfer Learning with Deep Autoencoders. IJCAI 2015: 4119-4125 - [c63]Tianshu Feng, Fuzhen Zhuang, Qing He:
Improving ESVM with Generalized Cross-Validation. IJCNN 2015: 1-8 - [c62]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953 - 2014
- [j26]Qing He, Xin Jin, Changying Du, Fuzhen Zhuang, Zhongzhi Shi:
Clustering in extreme learning machine feature space. Neurocomputing 128: 88-95 (2014) - [j25]Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. 257: 101-114 (2014) - [j24]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi, Hui Xiong:
Triplex Transfer Learning: Exploiting Both Shared and Distinct Concepts for Text Classification. IEEE Trans. Cybern. 44(7): 1191-1203 (2014) - [c61]Xin Jin, Fuzhen Zhuang, Hui Xiong, Changying Du, Ping Luo, Qing He:
Multi-task Multi-view Learning for Heterogeneous Tasks. CIKM 2014: 441-450 - [c60]Changying Du, Jia He, Fuzhen Zhuang, Yuan Qi, Qing He:
Nonparametric Bayesian Multi-Task Large-margin Classification. ECAI 2014: 255-260 - [c59]Qing He, Xiaohu Cheng, Fuzhen Zhuang, Zhongzhi Shi:
Parallel feature selection using positive approximation based on MapReduce. FSKD 2014: 397-402 - [c58]Wenjuan Luo, Fuzhen Zhuang, Xiaohu Cheng, Qing He, Zhongzhi Shi:
Ratable Aspects over Sentiments: Predicting Ratings for Unrated Reviews. ICDM 2014: 380-389 - [c57]Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Balanced Seed Selection for Budgeted Influence Maximization in Social Networks. PAKDD (1) 2014: 65-77 - [c56]Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. ECML/PKDD (3) 2014: 417-431 - [c55]Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi:
Scalable bootstrap clustering for massive data. SNPD 2014: 1-6 - [c54]Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Discovering and learning sensational episodes of news events. WWW (Companion Volume) 2014: 217-218 - 2013
- [j23]Ning Li, Li Zeng, Qing He, Zhongzhi Shi:
Parallel Implementation of Apriori Algorithm Based on MapReduce. Int. J. Networked Distributed Comput. 1(2): 89-96 (2013) - [j22]Qing He, Tianfeng Shang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel extreme learning machine for regression based on MapReduce. Neurocomputing 102: 52-58 (2013) - [j21]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Exploiting relevance, coverage, and novelty for query-focused multi-document summarization. Knowl. Based Syst. 46: 33-42 (2013) - [c53]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
A New Similarity Measure Based on Preference Sequences for Collaborative Filtering. APWeb 2013: 384-391 - [c52]Fuzhen Zhuang, Ping Luo, Peifeng Yin, Qing He, Zhongzhi Shi:
Concept Learning for Cross-Domain Text Classification: A General Probabilistic Framework. IJCAI 2013: 1960-1967 - [c51]Tianfeng Shang, Qing He, Fuzhen Zhuang, Zhongzhi Shi:
Extreme Learning Machine combining matrix factorization for collaborative filtering. IJCNN 2013: 1-8 - [c50]Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Embedding with Autoencoder Regularization. ECML/PKDD (3) 2013: 208-223 - [c49]Xin Jin, Fuzhen Zhuang, Shuhui Wang, Qing He, Zhongzhi Shi:
Shared Structure Learning for Multiple Tasks with Multiple Views. ECML/PKDD (2) 2013: 353-368 - [c48]Fuzhen Zhuang, Ping Luo, Changying Du, Qing He, Zhongzhi Shi:
Triplex transfer learning: exploiting both shared and distinct concepts for text classification. WSDM 2013: 425-434 - 2012
- [j20]Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, Zhongzhi Shi:
Multi-view learning via probabilistic latent semantic analysis. Inf. Sci. 199: 20-30 (2012) - [j19]Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi:
Effective semi-supervised document clustering via active learning with instance-level constraints. Knowl. Inf. Syst. 30(3): 569-587 (2012) - [j18]Zhiping Shi, Xi Liu, Qingyong Li, Qing He, Zhongzhi Shi:
Extracting discriminative features for CBIR. Multim. Tools Appl. 61(2): 263-279 (2012) - [j17]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification. IEEE Trans. Knowl. Data Eng. 24(11): 2025-2039 (2012) - [j16]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Erratum to "Mining Distinction and Commonality across Multiple Domains Using Generative Model for Text Classification". IEEE Trans. Knowl. Data Eng. 24(12): 2301 (2012) - [c47]Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
TINAC: A fast and effective web video topic detection framework. FSKD 2012: 1252-1256 - [c46]Changying Du, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Multi-task Semi-supervised Semantic Feature Learning for Classification. ICDM 2012: 191-200 - [c45]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Fast Time Series Classification Based on Infrequent Shapelets. ICMLA (1) 2012: 215-219 - [c44]Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Constructing Reliable Data for Cross-Domain Text Classification. Intelligent Information Processing 2012: 16-27 - [c43]Ning Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
PPLSA: Parallel Probabilistic Latent Semantic Analysis Based on MapReduce. Intelligent Information Processing 2012: 40-49 - [c42]Qing He, Zhi Dong, Fuzhen Zhuang, Tianfeng Shang, Zhongzhi Shi:
Parallel Decision Tree with Application to Water Quality Data Analysis. ISNN (2) 2012: 628-637 - [c41]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. PAKDD (1) 2012: 392-404 - [c40]Ning Li, Li Zeng, Qing He, Zhongzhi Shi:
Parallel Implementation of Apriori Algorithm Based on MapReduce. SNPD 2012: 236-241 - [c39]Qing Tan, Qing He, Zhongzhi Shi:
Parallel Max-Min Ant System Using MapReduce. ICSI (1) 2012: 182-189 - 2011
- [j15]Guangquan Zhang, Zheng Zheng, Jie Lu, Qing He:
An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. Comput. Intell. 27(2): 235-259 (2011) - [j14]Qing Tan, Qing He, Weizhong Zhao, Zhongzhi Shi, E. Stanley Lee:
An improved FCMBP fuzzy clustering method based on evolutionary programming. Comput. Math. Appl. 61(4): 1129-1144 (2011) - [j13]Qing He, Changying Du, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
A parallel incremental extreme SVM classifier. Neurocomputing 74(16): 2532-2540 (2011) - [j12]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting associations between word clusters and document classes for cross-domain text categorization. Stat. Anal. Data Min. 4(1): 100-114 (2011) - [j11]Qing He, Weizhong Zhao, Zhongzhi Shi:
CHSMST: a clustering algorithm based on hyper surface and minimum spanning tree. Soft Comput. 15(6): 1097-1103 (2011) - [c38]Qing He, Yunlong Ma, Qun Wang, Fuzhen Zhuang, Zhongzhi Shi:
Parallel Outlier Detection Using KD-Tree Based on MapReduce. CloudCom 2011: 75-80 - [c37]Weizhong Zhao, Huifang Ma, Qing He, Zhongzhi Shi:
The improved non-negative Matrix Factorization algorithm for document clustering. FSKD 2011: 1836-1839 - [c36]Xudong Ma, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen:
Combining Supervised and Unsupervised Models via Unconstrained Probabilistic Embedding. IJCAI 2011: 1396-1401 - 2010
- [j10]Fuzhen Zhuang, Ping Luo, Hui Xiong, Yuhong Xiong, Qing He, Zhongzhi Shi:
Cross-Domain Learning from Multiple Sources: A Consensus Regularization Perspective. IEEE Trans. Knowl. Data Eng. 22(12): 1664-1678 (2010) - [c35]Qing Tan, Qing He, Zhongzhi Shi:
Nonparametric Curve Extraction Based on Ant Colony System. AAAI 2010: 599-604 - [c34]Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi:
Effectively Leveraging Entropy and Relevance for Summarization. AIRS 2010: 241-250 - [c33]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi, Hui Xiong:
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification. CIKM 2010: 359-368 - [c32]Tingting Li, Fuzhen Zhuang, Qing He:
A noise handling method for hyper surface classification. FSKD 2010: 1484-1488 - [c31]Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhongzhi Shi:
D-LDA: A Topic Modeling Approach without Constraint Generation for Semi-defined Classification. ICDM 2010: 709-718 - [c30]Qing He, Ning Li, Zhongzhi Shi:
A HSC-based sample selection method for support vector machine. ICMLC 2010: 1751-1756 - [c29]Qing He, Wenjuan Luo, Fuzhen Zhuang, Zhongzhi Shi:
Local Bayesian Based Rejection Method for HSC Ensemble. ISNN (1) 2010: 404-412 - [c28]Qing He, Qing Tan, Xudong Ma, Zhongzhi Shi:
The High-Activity Parallel Implementation of Data Preprocessing Based on MapReduce. RSKT 2010: 646-654 - [c27]Qing He, Fuzhen Zhuang, Jincheng Li, Zhongzhi Shi:
Parallel Implementation of Classification Algorithms Based on MapReduce. RSKT 2010: 655-662 - [c26]Fuzhen Zhuang, Ping Luo, Hui Xiong, Qing He, Yuhong Xiong, Zhongzhi Shi:
Exploiting Associations between Word Clusters and Document Classes for Cross-Domain Text Categorization. SDM 2010: 13-24
2000 – 2009
- 2009
- [j9]Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He:
Rule sets based bilevel decision model and algorithm. Expert Syst. Appl. 36(1): 18-26 (2009) - [j8]Zhiping Shi, Qing He, Zhongzhi Shi:
An index and retrieval framework integrating perceptive features and semantics for multimedia databases. Multim. Tools Appl. 42(2): 207-231 (2009) - [c25]Weizhong Zhao, Huifang Ma, Qing He:
Parallel K-Means Clustering Based on MapReduce. CloudCom 2009: 674-679 - [c24]Jincheng Li, Qing He, Zhongzhi Shi:
Detecting Unusual Pattern with Labeled Data in Two-Stage. FSKD (1) 2009: 164-168 - [c23]Qing He, Jincheng Li, Zhongzhi Shi:
Rule Extraction and Reduction for Hyper Surface Classification. ISNN (2) 2009: 88-98 - [c22]Weizhong Zhao, Qing He, Huifang Ma, Zhongzhi Shi:
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering. Web Intelligence 2009: 264-268 - 2008
- [j7]Qing He, Xiu-Rong Zhao, Zhongzhi Shi:
Minimal Consistent Subset for Hyper Surface Classification Method. Int. J. Pattern Recognit. Artif. Intell. 22(1): 95-108 (2008) - [c21]Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, Qing He:
Transfer learning from multiple source domains via consensus regularization. CIKM 2008: 103-112 - [c20]Qing He, Fuzhen Zhuang, Zhongzhi Shi:
The Data Selection Criteria for HSC and SVM Algorithms. ICNC (3) 2008: 384-388 - [c19]Huifang Ma, Qing He, Zhongzhi Shi:
Geodesic distance based multi-document summarization. NLPKE 2008: 1-6 - [c18]Qiuge Liu, Qing He, Zhongzhi Shi:
Extreme Support Vector Machine Classifier. PAKDD 2008: 222-233 - [p1]Zhiping Shi, Qing He, Zhongzhi Shi:
Bayes-Based Relevance Feedback Method for CBIR. Innovations in Hybrid Intelligent Systems 2008: 264-271 - 2007
- [j6]Zhongzhi Shi, Youping Huang, Qing He, Lida Xu, Shaohui Liu, Liangxi Qin, Ziyan Jia, Jiayou Li, Huijing Huang, Lei Zhao:
MSMiner - a developing platform for OLAP. Decis. Support Syst. 42(4): 2016-2028 (2007) - [j5]Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He:
Distributed data mining in grid computing environments. Future Gener. Comput. Syst. 23(1): 84-91 (2007) - [j4]Qing He, Xiu-Rong Zhao, Zhongzhi Shi:
Classification based on dimension transposition for high dimension data. Soft Comput. 11(4): 329-334 (2007) - [j3]Ping Luo, Guoxing Zhan, Qing He, Zhongzhi Shi, Kevin Lü:
On Defining Partition Entropy by Inequalities. IEEE Trans. Inf. Theory 53(9): 3233-3239 (2007) - [c17]Qing He, Xiu-Rong Zhao, Zhongzhi Shi:
A Cognitive Data Visualization Method Based on Hyper Surface. IEEE ICCI 2007: 85-91 - [c16]Qing He, Xiu-Rong Zhao, Ping Luo, Zhongzhi Shi:
Combination Methodologies of Multi-agent Hyper Surface Classifiers: Design and Implementation Issues. AIS-ADM 2007: 100-113 - [c15]Qiuge Liu, Qing He, Zhongzhi Shi:
Data Selection for Nonlinear Proximal Support Vector Machine. ICNC (1) 2007: 120-124 - [c14]Qiuge Liu, Qing He, Zhongzhi Shi:
Incremental Nonlinear Proximal Support Vector Machine. ISNN (3) 2007: 336-341 - [c13]Lida Xu, Li Zeng, Zhongzhi Shi, Qing He, Maoguang Wang:
Research on Business Intelligence in enterprise computing environment. SMC 2007: 3270-3275 - 2006
- [j2]Ping Luo, Kevin Lü, Rui Huang, Qing He, Zhongzhi Shi:
A heterogeneous computing system for data mining workflows in multi-agent environments. Expert Syst. J. Knowl. Eng. 23(5): 258-272 (2006) - [c12]Zheng Zheng, Guangquan Zhang, Qing He, Jie Lu, Zhongzhi Shi:
Rule sets based bilevel decision model. ACSC 2006: 113-120 - [c11]Ping Luo, Kevin Lü, Qing He, Zhongzhi Shi:
A Heterogeneous Computing System for Data Mining Workflows. BNCOD 2006: 177-189 - [c10]Jisheng Hao, Qing He, Zhongzhi Shi:
A New Method for Modeling Principal Curve. Intelligent Information Processing 2006: 217-226 - [c9]Xiu-Rong Zhao, Qing He, Zhongzhi Shi:
HyperSurface Classifiers Ensemble for High Dimensional Data Sets. ISNN (1) 2006: 1299-1304 - [c8]Qing He, Xiu-Rong Zhao, Sulan Zhang:
Multi-modal Services for Web Information Collection Based on Multi-agent Techniques. PRIMA 2006: 129-137 - [c7]Zheng Zheng, Qing He, Zhongzhi Shi:
Granule Sets Based Bilevel Decision Model. RSKT 2006: 530-537 - 2005
- [c6]Ping Luo, Qing He, Zhongzhi Shi:
Theoretical study on a new information entropy and its use in attribute reduction. IEEE ICCI 2005: 73-79 - [c5]Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Shi:
Execution Engine of Meta-learning System for KDD in Multi-agent Environment. AIS-ADM 2005: 149-160 - [e1]Zhongzhi Shi, Qing He:
Intelligent Information Processing II, IFIP TC12/WG12.3 International Conference on Intelligent Information Processing (IIP 2004), October 21-23, 2004, Beijing, China. IFIP 163, Springer 2005, ISBN 0-387-23151-X [contents] - 2004
- [c4]Zhongzhi Shi, Ping Luo, Yalei Hao, Guohe Li, Markus Stumptner, Qing He, Gerald Quirchmayr:
Intelligent Technology for Well Logging Analysis. Intelligent Information Processing 2004: 373-382 - [c3]Yalei Hao, Markus Stumptner, Gerald Quirchmayr, Qing He:
Data Mining by MOUCLAS Algorithm for Petroleum Reservoir Characterization from Well Logging Data. AIAI 2004: 407-419 - [c2]Qing He, Ping Luo, Zhongzhi Shi, Yalei Hao, Markus Stumptner:
A Prediction Approach to Well Logging. Intelligent Information Processing 2004: 531-539 - 2003
- [j1]Zhongzhi Shi, Qing He, Ziyan Jia, Jiayou Li:
Intelligence Chinese Document Semantic Indexing System. Int. J. Inf. Technol. Decis. Mak. 2(3): 407-424 (2003) - 2002
- [c1]Zhongzhi Shi, Bin Wu, Qing He, Xiujun Gong, Shaohui Liu, Yi Zheng:
IDSIS: Intelligent Document Semantic Indexing System. Intelligent Information Processing 2002: 307-310
Coauthor Index
[j69] [j68] [c161] [c160] [c159] [c158] [i45] [c157] [c156] [c155] [c153] [c152] [c151] [c150] [c149] [c148] [i43] [j63] [j60] [j58] [c145] [c143] [c142] [c141] [c140] [c139] [c137] [c136] [c134] [c133] [c131] [i39] [i37] [i36] [i34] [j52] [c129] [c128] [c127] [c123] [c122] [c119] [c115] [c114] [c113] [i28] [i27] [i26] [i25] [i22] [j51] [j50] [c109] [c106] [c103] [c102] [j45] [j44] [j42] [j41] [j40] [c97] [c96] [c93] [i14] [i12] [j38] [j33] [c88] [c85] [c83] [i7] [i5] [i4] [i3] [c81] [c77] [j31] [c66] [j25] [c55] [c54] [c47]
[j37] [j30] [j29] [j28] [j27] [c69] [j26] [j25] [j24] [c59] [c58] [c57] [c56] [c55] [c54] [j23] [j22] [j21] [c53] [c52] [c51] [c50] [c49] [c48] [j20] [j19] [j18] [j17] [j16] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [j14] [j13] [j12] [j11] [c38] [c37] [c36] [j10] [c35] [c34] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [j8] [c24] [c23] [c22] [j7] [c20] [c19] [c18] [p1] [j6] [j5] [j4] [j3] [c17] [c16] [c15] [c14] [c13] [j2] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [e1] [c4] [c2] [j1] [c1]
[j67] [j66] [j65] [j64] [c154] [c147] [c146] [i44] [j62] [j61] [j57] [c145] [c144] [c143] [c140] [c135] [c134] [c133] [c132] [i42] [i41] [i40] [i39] [i37] [i36] [i35] [i33] [j56] [j55] [j54] [j53] [c130] [c125] [c124] [c121] [c120] [c118] [c117] [c116] [c112] [i32] [i31] [i30] [i29] [i24] [i23] [i22] [i21] [i20] [i19] [j51] [j50] [j49] [j48] [c111] [c110] [c108] [c107] [c104] [c101] [c100] [i18] [i17] [i16] [j47] [j46] [j45] [j44] [j43] [j42] [c98] [c95] [c94] [c92] [i11] [i10] [i9] [i8] [j38] [j37] [j36] [j35] [j34] [j33] [c89] [c87] [c86] [c84] [c83] [i6] [i5] [j32] [c81] [c80] [c79] [c78] [c77] [j31] [c76] [c75] [c71] [j29] [j28] [j27] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [j26] [j25] [j24] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [j22] [j21] [c53] [c52] [c51] [c50] [c49] [c48] [j20] [j17] [j16] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [j13] [j12] [c38] [c36] [j10] [c34] [c33] [c32] [c31] [c29] [c27] [c26] [c21] [c20]
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