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.
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.
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.
Shuokai Li, Xiang Ao*, Feiyang Pan and Qing He. Learning Policy Scheduling for Text Augmentation. Neural Networks (NN), 145, 121-127, 2022
Yang Liu, Xiang Ao*, Linfeng Dong, Chao Zhang, Jin Wang and Qing He. Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 34(1): 462-474, 2022.
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, 2(4):100176, 2021. X. Zhu and X. Ao are equally contributed.
Xiang Ao*, Yang Liu, Zidi Qin, Yi Sun and Qing He. Temporal High-order Proximity Aware Behavior Analysis on Ethereum. World Wide Web (WWWJ), 24(5), 1565-1585, 2021.
Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu and Jinwen Tian. Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowledge-Based Systems (KBS), 214: 106730, 2020.
Fuzhen Zhuang, Yingming Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He and Hui Xiong. Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. Journal of Computer Science & Technology (JCST), 35 (2), 305-319, 2020.
Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao and 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 and 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 and 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 and 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 and Qing He. Mining Precise-positioning Episode Rules from Event Sequences. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 30(3) : 530-543, 2018.
Xiang Ao*, Ping Luo, Chengkai Li, Fuzhen Zhuang and 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 and 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 and Xiang Ao. Energy Model for Rumor Propagation on Social Networks. Physica A : Statistical Mechanics and its Applications, 394 : 99-109, 2014.
Conference Papers
Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu and Xiang Ao*. Rethinking the Evaluation of In-Context Learning for LLMs. To appear in the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP2024).
Yiran Qiao, Tateng Tang, Xiang Ao*, Qi Yuan, Ziming Liu, Chen Shen and Xuehao Zheng. Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. To appear in 2024 IEEE International Conference on Data Mining (ICDM2024).
Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He and Xiang Ao*. EFSA: Towards Event-Level Financial Sentiment Analysis. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL2024).
Ruize Yuan, Xiang Ao*, Li Zeng and Qing He. DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024).
Hanyu Zhang, Xiting Wang, Xiang Ao* and Qing He. Distillation with Explanations from Large Language Models. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING2024).
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. In the Twelfth International Conference on Learning Representations (ICLR2024).
Guanghui Hu, Yang Liu, Qing He and Xiang Ao*. F2GNN: An Adaptive Filter with Feature Segmentation for Graph-based Fraud Detection. In Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2024).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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 (ICDE2023, IEEE TKDE Poster Track).
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).
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).
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).
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).
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).
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, short paper). [Best Short Paper Honorable Mention]
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
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).
Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao* andHao 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).
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).
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]
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, short paper).
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 and 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 and 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, short paper).
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, short paper).
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, short paper).
Ling Luo, Xiang Ao*, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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 and 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).
