期刊文章:

[1] Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-hung Chen, Ying Qiao, Qing He and Xing Xie. Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Transactions on Knowledge Discovery from Data (TKDD)， 18(3):1-20, 2023.(CCF B类期刊，SCI)

[2] Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan. Sentence Similarity Based on Contexts. Transactions of the Association for Computational Linguistics (TACL), 10:573-588, 2022. (CCF B类期刊，SCI)

[3] Feiyang Pan, Shuokai Li, Xiang Ao* and Qing He. Relation Reconstructive Binarization of Word Embeddings. Frontiers of Computer Science (FCS), 16(2):1-8, 2022. (SCI)

[4] Shuokai Li, Xiang Ao*, Feiyang Pan, Qing He. Learning Policy Scheduling for Text Augmentation. Neural Networks (NN), 145, 121-127, 2022 (中科院1区，SCI)

[5] Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He* and Jianping Li*. Intelligent Financial Fraud Detection Practices in Post-Pandemic Era. The Innovation, 100176, 2021. X. Zhu and X. Ao are equally contributed.

[6] Xiang Ao*, Yang Liu, Zidi Qin, Yi Sun and Qing He. Temporal High-order Proximity Aware Behavior Analysis on Ethereum. World Wide Web (WWWJ), Special Issue on Emerging Blockchain Applications and Technology, 1-21, 2021. (CCF B类期刊，SCI)

[7] Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian. Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowledge-Based Systems (KBS), 106730, 2020. (中科院1区，SCI)

[8] Fuzhen Zhuang, Yingming Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong. Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. Journal of Computer Science & Technology (JCST), 35 (2), 305-319, 2020. (CCF B类期刊，SCI)

[9] Yang Liu, Xiang Ao*, Linfeng Dong, Chao Zhang, Jin Wang, Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Transactions on Data Engineering (IEEE TKDE). (CCF A类期刊，SCI)

[10] Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li. Improving social and behavior recommendations via network embedding. Information Sciences 516: 125-141, 2020. (CCF B类期刊，SCI)

[11] Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He. Large-scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 10(4):36, 2019. (中科院3区，SCI)

[12] Thapana Boonchooa, Xiang Ao*, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He. Grid-based DBSCAN : Indexing and Inference. Pattern Recognition (PR), 90 : 271-284, 2019. (CCF B类期刊，SCI)

[13] Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-ling Zhang, Qing He. Supervised representation learning for multi-label classification. Machine Learning (ML), 108(5):747-763, 2019. (CCF B类期刊，SCI)

[14] Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He. Mining Precise-positioning Episode Rules from Event Sequences. IEEE Transactions on Data Engineering (IEEE TKDE), 30(3): 530-543, 2018. (CCF A类期刊，SCI)

[15] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Discovering and Learning Sensational Episodes of News Events. Information Systems (IS), 78 :68-80, 2018. (CCF B类期刊，SCI)

[16] Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi and Zhiyong Shen. Combining supervised and unsupervised models via unconstrained probabilistic embedding. Information Sciences (INS), 257: 101-114, 2014. (CCF B类期刊，SCI)

会议文章：

2024年

[1] Ruize Yuan, Xiang Ao*, Li Zeng and Qing He. DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. To appear in the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024). CCF B类会议

[2] Hanyu Zhang, Xiting Wang, Xiang Ao* and Qing He. Distillation with Explanations from Large Language Models. To appear in the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024). CCF B类会议

[3] Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng and Xiang Ao*. Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. To appear in the Twelfth International Conference on Learning Representations (ICLR2024).机器学习三大会议之一

[4] Guanghui Hu, Yang Liu, Qing He and Xiang Ao*. F2GNN: An Adaptive Filter with Feature Segmentation for Graph-based Fraud Detection. To appear in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2024). CCF B类会议

[5] Qiming Liu, Xiang Ao*, Yuyao Guo and Qing He. Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. In Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI2024). CCF A类会议

[6] Xinke Jiang, Zidi Qin, Jiarong Xu and Xiang Ao*. Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. In Proceedings of the 17th ACM International Conference Web Search and Data Mining (WSDM2024). CCF B类会议

2023年

[1] Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi and Xiang Ao*. Retrieval-Augmented Few-shot Text Classification. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP2023 Findings). CCF B类会议

[2] Zhao Yang, Junhong Lian and Xiang Ao*. Fact-Preserved Personalized News Headline Generation. In Proceedings of the 23rd IEEE International Conference on Data Mining (ICDM2023, short paper). CCF B类会议

[3] Yuyao Guo, Xiang Ao*, Qiming Liu and Qing He. Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM2023, short paper). CCF B类会议

[4] Shuo Yu, Hongyan Xue, Xiang Ao*, Feiyang Pan, Jia He, Dandan Tu and Qing He. Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023). CCF A类会议

[5] Yang Liu, Xiang Ao*, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua and Qing He. FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.  In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2023). CCF A类会议

[6] Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi and Xiang Ao*. Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation.  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL2023 Findings). CCF A类会议

[7] Qiming Liu, Haoming Li, Xiang Ao*, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong and Qing He. Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising.  In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2023). CCF A类会议

[8] Yang Liu, Xiang Ao*, Linfeng Dong, Chao Zhang, Jin Wang and Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding (Extended Abstract). In Proceedings of the 39th IEEE International Conference on Data Engineering (ICDE 2023, IEEE TKDE Poster Track). CCF A类会议

[9] Kuan Li, Yang Liu, Xiang Ao* and Qing He. Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. In the Eleventh International Conference on Learning Representations (ICLR2023). 机器学习三大会议之一

[10] Shuai Ma, Wenbin Jiang, Xiang Ao*, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She and Qing He. Semantic-Driven Instance Generation for Table Question Answering. In Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA2023). CCF B类会议

[11] Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyv, Jiwei Li, Tianwei Zhang. Defending Against Backdoor Attacks in Natural Language Generation. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI2023). CCF A类会议

[12] Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao*，Dandan Tu, Qing He. Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI2023). CCF A类会议

2022年

[1] Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu and Qing He. Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM2022). CCF B类会议

[2] Zidi Qin, Yang Liu, Qing He and Xiang Ao*. Explainable Graph-based Fraud Detection via Neural Meta-graph Search. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM2022). [Best Short Paper Honorable Mention] CCF B类会议

[3] Yuyao Guo, Haoming Li, Xiang Ao*, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang and Qing He. Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM2022). CCF B类会议

[4] Yang Liu, Xiang Ao*, Fuli Feng and Qing He. UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2022). CCF A类会议

[5] Kuan Li, Yang Liu, Xiang Ao*, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He. Reliable Representations Make A Stonger Defender:Unsupervised Structure Refinement for Robust GNN. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2022). CCF A类会议

[6] Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang and Xiang Ao*. User Behavior Pre-training for Online Fraud Detection. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2022). CCF A类会议

[7] Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin and Qing He. Selective Fairness in Recommendation via Prompts. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022, short paper). CCF A类会议

[8] Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang and Qing He. User-Centric Conversational Recommendation with Multi-Aspect User Modeling. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022). CCF A类会议

[9] Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin and Qing He. Multi-view Multi-behavior Contrastive Learning in Recommendation. In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA2022). CCF B类会议

[10] Linfeng Dong, Yang Liu, Xiang Ao*, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He. Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection. In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA2022, short paper). CCF B类会议

[11] Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao* and Hao Yang. ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-domain Credit Risk Forecasting. In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA2022). CCF B类会议

[12] Mengda Huang, Yang Liu, Xiang Ao*, Kuan Li, Jianfeng Chi, Jinghua Feng, Yang Hao and Qing He. AUC-oriented Graph Neural Network for Fraud Detection. In Proceedings of the Web Conference 2022 (WWW2022). CCF A类会议

[13] Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei and Qing He. Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022). CCF A类会议

2021年

[1] Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao* and Qing He. Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. In the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021 Findings). CCF B类会议

[2] Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng and Xiaofei Sun . Layer-wise Model Pruning based on Mutual Information. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021). CCF B类会议

[3] Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan and Jiwei Li. ConRPG: Paraphrase Generation using Contexts as Regularizer. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP2021). CCF B类会议

[4] Can Liu, Li Sun, Xiang Ao*, Jinghua Feng, Qing He and Hao Yang. Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2021). CCF A类会议

[5] Guoxin Yu, Xiang Ao*, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li and Qing He. Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. In the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021 Findings). CCF A类会议

[6] Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu and Jiwei Li. ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021). CCF A类会议

[7] Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He and Xing Xie. PENS: A Dataset and Generic Framework for Personalized News Headline Generation. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP2021). CCF A类会议

[8] Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao*, Hao Yang. Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI2021). CCF A类会议

[9] Binzong Geng, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu and Min Yang. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021). CCF A类会议

[10] Haoming Li, Feiyang Pan, Xiang Ao*, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao and Qing He. Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021, short paper). [Best Short Paper Honorable Mention Award] CCF A类会议

[11] Feiyang Pan, Haoming Li, Xiang Ao*, Wei Wang, Yanrong Kang, Ao Tan and Qing He. GuideBoot: Guided Bootstrap for Deep Contextual Bandits in Online Advertising. In Proceedings of the Web Conference 2021 (WWW2021). CCF A类会议

[12] Yang Liu, Xiang Ao*, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang and Qing He. Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. In Proceedings of the Web Conference 2021 (WWW2021). CCF A类会议

[13] Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song and Xiang Ao*. Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA 2021). CCF B类会议

[14] Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li and Min Yang. A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI2021). CCF A类会议 

[15] Chunpu Xu, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu and Min Yang. Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI2021). CCF A类会议 

[16] Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao* and Jiayu Tang*. Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM2021). CCF B类会议

2020年

[1] Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang and Jinwen Tian. Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. In Proceedings of the 28th International Conference on Computational Linguistics (COLING2020). CCF B类会议 

[2] Jianfeng Liu, Ling Luo, Xiang Ao*, Yan Song, Haoran Xu and Jian Ye*. Meet Changes with Constancy: Learning Invariance in Multi-Source Translation. In Proceedings of the 28th International Conference on Computational Linguistics (COLING2020). CCF B类会议

[3] Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao and Xiang Wan. Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP2020 Findings). CCF B类会议 

[4] Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao*, and Jiayu Tang*. Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. In Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020). CCF B类会议

[5] Yang Liu, Xiang Ao*, Qiwei Zhong, Jinghua Feng, Jiayu Tang and Qing He. Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM2020). CCF B类会议

[6] Can Liu, Qiwei Zhong, Xiang Ao*, Li Sun, Wangli Lin, Jinghua Feng, Qing He and Jiayu Tang. Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2020). CCF A类会议

[7] Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen. Towards Explainable Conversational Recommendation. In Proceedings of the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020). CCF A类会议

[8] Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang and Yonggang Wang. Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL2020). CCF A类会议

[9] Qiwei Zhong, Yang Liu, Xiang Ao*, Binbin Hu, Jinghua Feng, Jiayu Tang* and Qing He. Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. In Proceedings of the Web Conference 2020 (WWW2020). CCF A类会议

[10] 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. In Proceedings of the Web Conference 2020 (WWW2020). CCF A类会议

2019年

[1] Ling Luo, Xiang Ao*, Yan Song, Feiyang Pan, Min Yang and Qing He. Reading Like HER: Human Reading Inspired Extractive Summarization. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019). CCF B类会议

[2] Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao and Min Yang. A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP2019). CCF B类会议

[3] Junyu Luo, Min Yang, Xiang Ao, Zhou Zhao and Ying Shen. Cross-modal Image-Text Retrieval with Multitask Learning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM2019). CCF B类会议

[4] Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng and Jinwen Tian. A Unified Generation-Retrieval Framework for Image Captioning. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM2019). CCF B类会议

[5] Ling Luo, Xiang Ao*, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu. Unsupervised Neural Aspect Extraction with Sememes. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI2019). CCF A类会议

[6] Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He. Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2019). CCF A类会议

2018年及以前

[1] Ling Luo, Xiang Ao*, Feiyang Pan, Tong Zhao, Ningzi Yu, Qing He. Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI2018). CCF A类会议

[2] Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He. Free-rider Episode Screening via Dual Partition Model. In Proceedings of the 23rd International Conference on Database Systems for Advanced Applications (DASFAA2018). CCF B类会议

[3] Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He. Attention-driven Factor Model for Explainable Personalized Recommendation. In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2018). CCF A类会议

[4] Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He. Mining Precise-positioning Episode Rules from Event Sequences. In Proceedings of the 33rd IEEE International Conference on Data Engineering (ICDE2017, poster track). CCF A类会议

[5] Fuzhen Zhuang, Yingming Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He. Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. In Proceedings of the International World Wide Web Conference (WWW2017, poster track). CCF A类会议

[6] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He. Online Frequent Episode Mining. In Proceedings of the 31st IEEE International Conference on Data Engineering (ICDE2015). CCF A类会议

[7] Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Discovering and learning sensational episodes of news events. In Proceeding of the International World Wide Web Conference (WWW2014, poster track). CCF A类会议

专利：

[1] 基于分布式并行决策树的高维特征数据分类方法及系统，2023年6月13日授权，专利号ZL202010022431.3。发明人：孙莹；庄福振；敖翔；何清。

[2] 一种基于频繁交易模式的异常账户检测方法及系统，2022年9月30日授权，专利号ZL201910846523.0。发明人：敖翔；柳阳；秦紫笛；何清。

[3] 一种分布式的趋同行为挖掘方法与系统，2020年12月4日授权，专利号ZL201810271602.9。发明人：李宏伟；罗平；敖翔；庄福振；何清。

[4] 描述型多维度事件序列的并行频繁情节挖掘方法与系统，2019年4月30日授权，专利号ZL201610524750.8。发明人：敖翔；左罗；罗平；庄福振；何清。

[5] 一种并行的垂直交叉网络数据采集方法及系统，2016年4月13日授权，专利号ZL201310146080.7。发明人：敖翔；何清；庄福振。

[6] 一种基于并行自动编码机的特征学习方法及系统，2018年6月26日授权，专利号ZL201610147007.5。发明人：庄福振；钱明达；申恩兆；敖翔；罗平；何清。

[7] 一种大数据分类方法及系统，2017年4月12日授权，专利号ZL201310727192.1。发明人：吴新宇；何清；庄福振；敖翔。

[8] 一种面向大数据的分布式主题发现方法及系统，2017年3月29日授权，专利号ZL201310526790.2。发明人：吴新宇；何清；庄福振；敖翔。

[1] 科技部重点研发项目课题：《大数据驱动的证券市场异动传导归因分析模型》，2022/10-2025/09，320万，骨干；

[2] NSFC重大研究计划培育项目：《基于类别分布感知的金融异常发现与推断》，2021/01-2021/12，20万，主持；

[3] NSFC基金面上项目：《保持高阶相似性的动态图表示学习方法及应用》，2020/01-2023.12，60万，主持；

[4] NSFC青年基金项目：《序列大数据复杂情景模式发现算法研究》，2017/01-2019/12，20万，主持；

[5] 中科院计算所创新项目子课题：《高通量区块链—区块链行为监管》，2018/05-2020/04，100万，主持；

[6] 北京市科技新星交叉项目：《非法集资监测预警技术及应用研究》，2023/10-2025/09，50万，参与；

[7] 北京市科技新星项目：《以非结构化数据为中心的证券市场运行监测智能技术研究》，2020/09-2023/08，40万，主持；

[8] 蚂蚁集团产学研项目：《大模型安全和智能算法安全评测》，2023/12-2024/12,50万，主持；

[9] 腾讯微信犀牛鸟专项：《时空融合的高效鲁棒动态图风控算法研究》，2023/07-2024/06,30万，主持；

[10] 杭州涿溪脑与智能研究所：《多源用户行为预训练项目》，2023/08-2024/07,40万，主持；

[11] 阿里巴巴AIR计划：《面向电商业务风控的开放环境下自适应异常检测框架研究》，2023/01-2023/12，50万，主持；

[12] 蚂蚁金服产学研项目：《小样本与不平衡问题中的鲁棒性研究》，2022/12-2023/12，48万，主持；

[13] CAAI-华为MindSpore 学术奖励基金项目：《语料库知识增强的情感分析技术研究》，2022/11-2023/11，9万，主持；

[14] 阿里巴巴AIR计划：《基于长距离行为序列学习和多模态融合的场景风控技术研究》，2021/07-2022/07，48万，主持；

[15] 航天信息研究课题：《基于多税种数据融合与图计算技术的风险企业挖掘》， 40万，2021/06-2021/10，40万，主持；

[16] 腾讯犀牛鸟联合实验室基金：《广告转化回流延迟研究》，2021/10-2022/10，30万，主持；

[17] 深交所创新课题：《面向证券市场运行监测的智能化应用技术研究》，2020/05-2021/03, 84万，参与；

[18] CCF-腾讯犀牛鸟科研基金滚动支持：《广告延迟反馈场景下的转化率预估及校准》，2020/05-2021/04，20万，主持；

[19] 腾讯犀牛鸟社交广告专项：《基于深度学习的探索-利用（Explore-Exploit）算法研究》，2019/09-2020/08，29万，主持；

[20] 阿里巴巴AIR计划：《基于高阶多图融合嵌入的用户金融行为分析》，2019/08-2020/07，44万，主持

[21] 蚂蚁金服安全专项科研基金：《人工智能欺诈识别聊天机器人》，2019/05-2020/04，40万，主持；

[22] CCF-腾讯犀牛鸟科研基金：《基于深度强化学习的在线广告推荐》，2018/10-2019/10，15万，主持；

[23] 德勤企业咨询（上海）有限公司联合研究：《债券舆情情感分析算法》，2017/08-2018/03，16万，主持。