News

Selected Publications

(* indicates corresponding author)

Journal Articles
  • Xiang Ao*, Yang Liu, Zidi Qin, Yi Sun and Qing He. Temporal High-order Proximity Aware Behavior Analysis on Ethereum. To appear in World Wide Web (WWWJ).
  • 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.
  • 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.
  • Yang Liu, Xiang Ao*, Linfeng Dong, Chao Zhang, Jin Wang, Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. To appear in IEEE Transactions on Data Engineering (IEEE TKDE).
  • Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li. Improving social and behavior recommendations via network embedding. Information Sciences 516: 125-141, 2020.
  • 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. 
  • 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. 
  • 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.
  • 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.
  • 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.
  • Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He. Bag of little bootstraps on features for enhancing classification performance. Intelligent Data Analysis (IDA), 20(5) : 1085-1099, 2016. 
  • 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.
  • Shuo Han, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Xiang Ao. Energy Model for Rumor Propagation on Social Networks. Physica A : Statistical Mechanics and its Applications, 394 : 99-109, 2014.
Conference Papers
  • Can Liu, Li Sun, Xiang Ao*, Jinghua Feng, Qing He and Hao Yang. Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. To appear in the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD2021).
  • 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. To appear 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).
  • 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. To appear 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).
  • Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He and Xing Xie . PENS: A Dataset and Generic Framework for Personalized News Headline Generation. To appear 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).
  • 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. To appear in the 30th International Joint Conference on Artificial Intelligence (IJCAI2021).
  • Binzong Geng, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu and Min Yang. Iterative Pruning with Adaptive Regularization for Lifelong Sentiment Classification. To appear in the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021).
  • 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. To appear in the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021, short paper).
  • 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).
  • 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).
  • 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 (DASFAA2021).
  • 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 Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021). 
  • 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 Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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).
  • 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). 
  • Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li. SBRNE : An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA2019).
  • 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).
  • 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, short paper).
  • 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).
  • 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).
  • 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 26th International World Wide Web Conference (WWW2017, poster).
  • 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).
  • Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He and Zhongzhi Shi. Discovering and learning sensational episodes of news events. In Proceedings of the 23rd International World Wide Web Conference (WWW2014, poster).

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