Xiang Ao

According to our database, Xiang Ao authored at least 103 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Put Your Voice on Stage: Personalized Headline Generation for News Articles.

Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie

ACM Trans. Knowl. Discov. Data, April, 2024

Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring.

Zhiyu Guo, Xiang Ao, Qing He

IEEE Trans. Comput. Soc. Syst., April, 2024

Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms.

Haowei Yang, Zhan Cheng, Zhaoyang Zhang, Yuanshuai Luo, Shuaishuai Huang, Xiang Ao

CoRR, 2024

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder.

Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective.

Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking the Evaluation of In-Context Learning for LLMs.

Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Distillation with Explanations from Large Language Models.

Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

EFSA: Towards Event-Level Financial Sentiment Analysis.

Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback.

Qiming Liu, Xiang Ao, Yuyao Guo, Qing He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising.

Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.

Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL.

Guang-Yu Cheng, Shuo Yu, Wenbin Jiang, Shuai Ma, Xiang Ao, Qing He

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective.

Kuan Li, Yang Liu, Xiang Ao, Qing He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fact-Preserved Personalized News Headline Generation.

Zhao Yang, Junhong Lian, Xiang Ao

Proceedings of the IEEE International Conference on Data Mining, 2023

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.

Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Retrieval-Augmented Few-shot Text Classification.

Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Semantic-Driven Instance Generation for Table Question Answering.

Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He

Proceedings of the Database Systems for Advanced Applications, 2023

Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising.

Yuyao Guo, Xiang Ao, Qiming Liu, Qing He

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation.

Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.

Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Defending against Backdoor Attacks in Natural Language Generation.

Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding.

Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He

IEEE Trans. Knowl. Data Eng., 2022

Sentence Similarity Based on Contexts.

Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan

Trans. Assoc. Comput. Linguistics, 2022

Learning policy scheduling for text augmentation.

Shuokai Li, Xiang Ao, Feiyang Pan, Qing He

Neural Networks, 2022

Relation Reconstructive Binarization of word embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Qing He

Frontiers Comput. Sci., 2022

AUC-oriented Graph Neural Network for Fraud Detection.

Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Selective Fairness in Recommendation via Prompts.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-Centric Conversational Recommendation with Multi-Aspect User Modeling.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User Behavior Pre-training for Online Fraud Detection.

Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.

Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting.

Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang

Proceedings of the Database Systems for Advanced Applications, 2022

Multi-view Multi-behavior Contrastive Learning in Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.

Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion.

Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Explainable Graph-based Fraud Detection via Neural Meta-graph Search.

Zidi Qin, Yang Liu, Qing He, Xiang Ao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising.

Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement.

Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Temporal high-order proximity aware behavior analysis on Ethereum.

Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He

World Wide Web, 2021

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning.

Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian

Knowl. Based Syst., 2021

Layer-wise Model Pruning based on Mutual Information.

Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun

CoRR, 2021

GuideBoot: Guided Bootstrap for Deep Contextual Bandits.

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

CoRR, 2021

Defending against Backdoor Attacks in Natural Language Generation.

Chun Fan, Xiaoya Li, Yuxian Meng, Xiaofei Sun, Xiang Ao, Fei Wu, Jiwei Li, Tianwei Zhang

CoRR, 2021

GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising.

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection.

Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets.

Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang

Proceedings of the WSDM '21, 2021

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback.

Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification.

Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection.

Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network.

Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension.

Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ConRPG: Paraphrase Generation using Contexts as Regularizer.

Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Layer-wise Model Pruning based on Mutual Information.

Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network.

Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao

Proceedings of the Database Systems for Advanced Applications, 2021

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis.

Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information.

Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation.

Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning.

Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models.

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.

Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong

J. Comput. Sci. Technol., 2020

Improving social and behavior recommendations via network embedding.

Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li

Inf. Sci., 2020

Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80].

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He

Inf. Syst., 2020

Improving Robustness and Generality of NLP Models Using Disentangled Representations.

Jiawei Wu, Xiaoya Li, Xiang Ao, Yuxian Meng, Fei Wu, Jiwei Li

CoRR, 2020

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network.

Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.

Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration.

Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Explainable Conversational Recommendation.

Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning to Undersampling for Class Imbalanced Credit Risk Forecasting.

Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information.

Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, Xiang Wan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning.

Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Meet Changes with Constancy: Learning Invariance in Multi-Source Translation.

Jianfeng Liu, Ling Luo, Xiang Ao, Yan Song, Haoran Xu, Jian Ye

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment.

Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge.

Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies.

Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He

ACM Trans. Intell. Syst. Technol., 2019

Multi-Aspect Embedding for Attribute-Aware Trajectories.

Thapana Boonchoo, Xiang Ao, Qing He

Symmetry, 2019

Grid-based DBSCAN: Indexing and inference.

Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He

Pattern Recognit., 2019

Supervised representation learning for multi-label classification.

Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He

Mach. Learn., 2019

Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80].

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He

Inf. Syst., 2019

Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction.

Chi Xu, Hao Feng, Xiang Ao

CoRR, 2019

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks.

Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He

CoRR, 2019

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Unsupervised Neural Aspect Extraction with Sememes.

Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Reading Like HER: Human Reading Inspired Extractive Summarization.

Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis.

Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding.

Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li

Proceedings of the Database Systems for Advanced Applications, 2019

A Unified Generation-Retrieval Framework for Image Captioning.

Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Cross-modal Image-Text Retrieval with Multitask Learning.

Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Mining Precise-Positioning Episode Rules from Event Sequences.

Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He

IEEE Trans. Knowl. Data Eng., 2018

Discovering and learning sensational episodes of news events.

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He

Inf. Syst., 2018

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents.

Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He

CoRR, 2018

Cross-domain novelty seeking trait mining for sequential recommendation.

Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He

CoRR, 2018

An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data.

Thapana Boonchoo, Xiang Ao, Qing He

CoRR, 2018

Attention-driven Factor Model for Explainable Personalized Recommendation.

Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention.

Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Free-Rider Episode Screening via Dual Partition Model.

Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.

Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016

Bag of little bootstraps on features for enhancing classification performance.

Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He

Intell. Data Anal., 2016

2015

Online Frequent Episode Mining.

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2014

Combining supervised and unsupervised models via unconstrained probabilistic embedding.

Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen

Inf. Sci., 2014

Discovering and learning sensational episodes of news events.

Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi

Proceedings of the 23rd International World Wide Web Conference, 2014

Scalable bootstrap clustering for massive data.

Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi

Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, 2014

2012

TINAC: A fast and effective web video topic detection framework.

Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012