Qing He

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 171

Top Venues

Publications

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) (2024)
Qiming Liu, Xiang Ao, Yuyao Guo, Qing He
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. AAAI (2024)
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)
Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
EFSA: Towards Event-Level Financial Sentiment Analysis. CoRR (2024)
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) (2024)
Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He
Distillation with Explanations from Large Language Models. LREC/COLING (2024)
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) (2024)
Zhiyu Guo, Xiang Ao, Qing He
Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. IEEE Trans. Comput. Soc. Syst. 11 (2) (2024)
Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
EFSA: Towards Event-Level Financial Sentiment Analysis. ACL (1) (2024)
Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI (2023)
Kuan Li, Yang Liu, Xiang Ao, Qing He
Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. ICLR (2023)
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) (2023)
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)
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) (2023)
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)
Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He
Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE (2023)
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)
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) (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR (2023)
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)
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)
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)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. CoRR (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompts for Sequential Recommendation. CoRR (2022)
Mingyang Liu, Li Xiao, Huiqin Jiang, Qing He
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR (2022)
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)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Yang Liu, Xiang Ao, Fuli Feng, Qing He
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. CoRR (2022)
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 (2022)
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) (2022)
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)
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)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR (2022)
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)
Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
Learning policy scheduling for text augmentation. Neural Networks 145 (2022)
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) (2022)
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 (2022)
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)
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 (2022)
Zidi Qin, Yang Liu, Qing He, Xiang Ao
Explainable Graph-based Fraud Detection via Neural Meta-graph Search. CIKM (2022)
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)
Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16 (2) (2022)
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)
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 (2022)
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 (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. SIGIR (2022)
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)
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) (2022)
Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Jingjing Gu, Zhiping Shi, Qing He
Clustering-Enhanced Knowledge Graph Embedding. Big Data (CCF) (2022)
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)
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) (2021)
Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang
Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. KDD (2021)
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)
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)
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)
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 (2021)
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)
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 (2021)
Zhao Zhang, Fuzhen Zhuang, Meng Qu, Zheng-Yu Niu, Hui Xiong, Qing He
Knowledge graph embedding with shared latent semantic units. Neural Networks 139 (2021)
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 (2021)
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 (2021)
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 (2021)
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 (2021)
Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. CoRR (2021)
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)
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) (2021)
Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR (2021)
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)
Yongchun Zhu, Fuzhen Zhuang, Xiangliang Zhang, Zhiyuan Qi, Zhiping Shi, Qing He
Combat Data Shift in Few-shot Learning with Knowledge Graph. CoRR (2021)
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)
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)
Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM (2021)
Ying Sun, Fuzhen Zhuang, Hengshu Zhu, Qing He, Hui Xiong
Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning. WWW (2021)
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)
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)
Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Guolin Ke, Jingwu Chen, Jiang Bian, Hui Xiong, Qing He
Deep Subdomain Adaptation Network for Image Classification. CoRR (2021)
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 (2021)
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)
Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He
Temporal high-order proximity aware behavior analysis on Ethereum. World Wide Web 24 (5) (2021)
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) (2021)
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)
Dengjie Yang, Xuehui Yu, Yi Sun, Fuzhen Zhuang, Qing He, Shiwei Ye
BFConv: Improving Convolutional Neural Networks with Butterfly Convolution. ICONIP (4) (2021)
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 (2021)
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)
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 (2021)
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)
Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li
ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR (2021)
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)
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)
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 (2020)
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)
Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML (2020)
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)
Dongbo Xi, Fuzhen Zhuang, Ganbin Zhou, Xiaohu Cheng, Fen Lin, Qing He
Domain Adaptation with Category Attention Network for Deep Sentiment Analysis. WWW (2020)
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)

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Publication Activity (10 Years)

Top Topics

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Qing He