Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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.dagstuhl.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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j68]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)- [j67]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) - [j66]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) - [c155]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 - [c154]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 - [c153]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 - [c152]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 - [c151]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 - [c150]Kuan Li, Yang Liu, Xiang Ao, Qing He:
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. ICLR 2023 - [c149]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 - [c148]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 - [c147]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 - [c146]Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815 - [c145]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
- [j65]Feiyang Pan, Shuokai Li, Xiang Ao, Qing He:
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16(2): 162307 (2022) - [j64]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) - [j63]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) - [j62]Shuokai Li, Xiang Ao, Feiyang Pan, Qing He:
Learning policy scheduling for text augmentation. Neural Networks 145: 121-127 (2022) - [j61]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) - [j60]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) - [j59]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) - [c144]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 - [c143]Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He:
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) 2022: 104-123 - [c142]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 - [c141]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 - [c140]Zidi Qin, Yang Liu, Qing He, Xiang Ao:
Explainable Graph-based Fraud Detection via Neural Meta-graph Search. CIKM 2022: 4414-4418 - [c139]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 - [c138]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 - [c137]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 - [c136]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 - [c135]Yang Liu, Xiang Ao, Fuli Feng, Qing He:
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD 2022: 1131-1140 - [c134]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 - [c133]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 - [c132]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 - [c131]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 - [c130]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
- [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [c129]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 - [c128]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 - [c127]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 - [c126]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 - [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
- [j53]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) - [j52]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) - [j51]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) - [j50]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
- [j49]Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin:
Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. 13(6): 1255-1265 (2019) - [j48]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) - [j47]