Xiang Ao - RankMe

153 papers A* 46A 11B 2C 1Misc 3Journal 61Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A hybrid approach to formulaic alpha discovery with large language model assistance. Frontiers Comput. Sci. Shuo Yu, Hongyan Xue, Xiang Ao, Qing He
2026	J	`jnl`	Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment. CoRR Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He
2026	J	`jnl`	GDCNet: Generative Discrepancy Comparison Network for Multimodal Sarcasm Detection. CoRR Shuguang Zhang, Junhong Lian, Guoxin Yu, Baoxun Xu, Xiang Ao
2026	J	`jnl`	Graph-Agnostic Linear Transformers. Neural Networks Zhiyu Guo, Yang Liu, Xiang Ao, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He
2026	—	`conf`	Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. KDD (1) Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He
2026	J	`jnl`	Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. CoRR Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He
2025	A*	`conf`	AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. AAAI Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco
2025	A*	`conf`	Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting. ICDM Senhao Liu, Zhiyu Guo, Zhiyuan Ji, Yueguo Chen, Yateng Tang, Yunhai Wang, Xuehao Zheng, Xiang Ao
2025	J	`jnl`	Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting. CoRR Senhao Liu, Zhiyu Guo, Zhiyuan Ji, Yueguo Chen, Yateng Tang, Yunhai Wang, Xuehao Zheng, Xiang Ao
2025	A*	`conf`	Controlling Large Language Models Through Concept Activation Vectors. AAAI Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	J	`jnl`	Controlling Large Language Models Through Concept Activation Vectors. CoRR Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He
2025	A*	`conf`	Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes. ICDM Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao
2025	Misc	`conf`	Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization. ICASSP Yi Qiao, Yang Liu, Qing He, Xiang Ao
2025	A*	`conf`	Dynamic Graph Learning with Static Relations for Credit Risk Assessment. AAAI Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao
2025	J	`jnl`	Fact-Preserved Personalized News Headline Generation. CoRR Zhao Yang, Junhong Lian, Xiang Ao
2025	—	`conf`	GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation. KDD (2) Zhiyu Guo, Yang Liu, Xiang Ao, Qing He
2025	—	`conf`	Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. ACL (1) Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He
2025	J	`jnl`	Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. CoRR Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He
2025	A	`conf`	Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. CIKM Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu
2025	J	`jnl`	Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. CoRR Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu
2025	J	`jnl`	Knowledge Error Detection via Textual and Structural Joint Learning. Big Data Min. Anal. Xiaoyu Wang, Xiang Ao, Fuwei Zhang, Zhao Zhang, Qing He
2025	A	`conf`	LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. WSDM Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
2025	J	`jnl`	Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms. Expert Syst. Appl. Zheng Zhang, Xiang Ao, Claudio J. Tessone, Gang Liu, Mingyang Zhou, Rui Mao, Hao Liao
2025	—	`conf`	OFTEN: Graph Invariant Learning via Soft Environment Inference. DASFAA (3) Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He
2025	A*	`conf`	Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. AAAI Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao
2025	—	`conf`	Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. WWW (Companion Volume) Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He
2025	J	`jnl`	Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. CoRR Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He
2025	A*	`conf`	SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. WWW Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao
2024	J	`jnl`	AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. CoRR Hao Shi, Cuicui Luo, Weili Song, Xinting Zhang, Xiang Ao
2024	J	`jnl`	Analysis of Financial Risk Behavior Prediction Using Deep Learning and Big Data Algorithms. CoRR Haowei Yang, Zhan Cheng, Zhaoyang Zhang, Yuanshuai Luo, Shuaishuai Huang, Xiang Ao
2024	A*	`conf`	Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. ICLR Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao
2024	—	`conf`	DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. LREC/COLING Ruize Yuan, Xiang Ao, Li Zeng, Qing He
2024	—	`conf`	Distillation with Explanations from Large Language Models. LREC/COLING Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He
2024	—	`conf`	EFSA: Towards Event-Level Financial Sentiment Analysis. ACL (1) Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
2024	J	`jnl`	EFSA: Towards Event-Level Financial Sentiment Analysis. CoRR Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao
2024	Misc	`conf`	F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection. ICASSP Guanghui Hu, Yang Liu, Qing He, Xiang Ao
2024	A*	`conf`	Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. ICDM Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng
2024	J	`jnl`	Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. CoRR Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng
2024	A	`conf`	Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. WSDM Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao
2024	J	`jnl`	LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. CoRR Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He
2024	A*	`conf`	Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. AAAI Qiming Liu, Xiang Ao, Yuyao Guo, Qing He
2024	J	`jnl`	Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Trans. Knowl. Discov. Data Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao, Qing He, Xing Xie
2024	A*	`conf`	Rethinking the Evaluation of In-Context Learning for LLMs. EMNLP Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao
2024	J	`jnl`	Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. IEEE Trans. Comput. Soc. Syst. Zhiyu Guo, Xiang Ao, Qing He
2023	A*	`conf`	Defending against Backdoor Attacks in Natural Language Generation. AAAI Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang
2023	A*	`conf`	FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
2023	A*	`conf`	Fact-Preserved Personalized News Headline Generation. ICDM Zhao Yang, Junhong Lian, Xiang Ao
2023	A*	`conf`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	J	`jnl`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	A*	`conf`	Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
2023	A	`conf`	Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. CIKM Yuyao Guo, Xiang Ao, Qiming Liu, Qing He
2023	Misc	`conf`	Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. ICMLC Guang-Yu Cheng, Shuo Yu, Wen-Bin Jiang, Shuai Ma, Xiang Ao, Qing He
2023	—	`conf`	Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. ACL (Findings) Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao
2023	A*	`conf`	Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. SIGIR Qiming Liu, Haoming Li, Xiang Ao, Yuyao Guo, Zhihong Dong, Ruobing Zhang, Qiong Chen, Jianfeng Tong, Qing He
2023	—	`conf`	Retrieval-Augmented Few-shot Text Classification. EMNLP (Findings) Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao
2023	A*	`conf`	Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. ICLR Kuan Li, Yang Liu, Xiang Ao, Qing He
2023	—	`conf`	Semantic-Driven Instance Generation for Table Question Answering. DASFAA (1) Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He
2023	A*	`conf`	Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. ICDE Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He
2022	—	`conf`	ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. DASFAA (1) Guanxiong Zeng, Jianfeng Chi, Rui Ma, Jinghua Feng, Xiang Ao, Hao Yang
2022	A*	`conf`	AUC-oriented Graph Neural Network for Fraud Detection. WWW Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	A	`conf`	Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022	—	`conf`	Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. DASFAA (1) Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	A	`conf`	Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. CIKM Yuyao Guo, Haoming Li, Xiang Ao, Min Lu, Dapeng Liu, Lei Xiao, Jie Jiang, Qing He
2022	A	`conf`	Explainable Graph-based Fraud Detection via Neural Meta-graph Search. CIKM Zidi Qin, Yang Liu, Qing He, Xiang Ao
2022	J	`jnl`	Learning policy scheduling for text augmentation. Neural Networks Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
2022	A*	`conf`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. AAAI Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2022	—	`conf`	Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He
2022	J	`jnl`	Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
2022	A*	`conf`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. KDD Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	J	`jnl`	Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. CoRR Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2022	A*	`conf`	Selective Fairness in Recommendation via Prompts. SIGIR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Selective Fairness in Recommendation via Prompts. CoRR Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022	J	`jnl`	Sentence Similarity Based on Contexts. Trans. Assoc. Comput. Linguistics Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan
2022	J	`jnl`	Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. IEEE Trans. Knowl. Data Eng. Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He
2022	A*	`conf`	UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD Yang Liu, Xiang Ao, Fuli Feng, Qing He
2022	A*	`conf`	User Behavior Pre-training for Online Fraud Detection. KDD Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao
2022	A*	`conf`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022	J	`jnl`	User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2021	A*	`conf`	A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. AAAI Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang
2021	—	`conf`	ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. ACL/IJCNLP (1) Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li
2021	J	`jnl`	ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. CoRR Zijun Sun, Xiaoya Li, Xiaofei Sun, Yuxian Meng, Xiang Ao, Qing He, Fei Wu, Jiwei Li
2021	—	`conf`	ConRPG: Paraphrase Generation using Contexts as Regularizer. EMNLP (1) Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li
2021	J	`jnl`	ConRPG: Paraphrase Generation using Contexts as Regularizer. CoRR Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li
2021	A	`conf`	Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets. WSDM Ting Liang, Guanxiong Zeng, Qiwei Zhong, Jianfeng Chi, Jinghua Feng, Xiang Ao, Jiayu Tang
2021	J	`jnl`	Defending against Backdoor Attacks in Natural Language Generation. CoRR Chun Fan, Xiaoya Li, Yuxian Meng, Xiaofei Sun, Xiang Ao, Fei Wu, Jiwei Li, Tianwei Zhang
2021	—	`conf`	Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. DASFAA (2) Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao
2021	A*	`conf`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2021	A*	`conf`	GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. WWW Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2021	A*	`conf`	Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. AAAI Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu
2021	A*	`conf`	Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. KDD Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang
2021	A*	`conf`	Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. SIGIR Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
2021	J	`jnl`	Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. CoRR Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu
2021	—	`conf`	Layer-wise Model Pruning based on Mutual Information. EMNLP (1) Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun
2021	J	`jnl`	Layer-wise Model Pruning based on Mutual Information. CoRR Chun Fan, Jiwei Li, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun
2021	—	`conf`	Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. ACL/IJCNLP (Findings) Guoxin Yu, Xiang Ao, Ling Luo, Min Yang, Xiaofei Sun, Jiwei Li, Qing He
2021	J	`jnl`	Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. CoRR Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He
2021	A*	`conf`	Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network. IJCAI Wangli Lin, Li Sun, Qiwei Zhong, Can Liu, Jinghua Feng, Xiang Ao, Hao Yang
2021	—	`conf`	PENS: A Dataset and Generic Framework for Personalized News Headline Generation. ACL/IJCNLP (1) Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
2021	A*	`conf`	Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. WWW Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He
2021	J	`jnl`	Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowl. Based Syst. Chunpu Xu, Min Yang, Xiang Ao, Ying Shen, Ruifeng Xu, Jinwen Tian
2021	—	`conf`	Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. EMNLP (Findings) Guoxin Yu, Jiwei Li, Ling Luo, Yuxian Meng, Xiang Ao, Qing He
2021	J	`jnl`	Sentence Similarity Based on Contexts. CoRR Xiaofei Sun, Yuxian Meng, Xiang Ao, Fei Wu, Tianwei Zhang, Jiwei Li, Chun Fan
2021	J	`jnl`	Temporal high-order proximity aware behavior analysis on Ethereum. World Wide Web Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He
2020	A	`conf`	Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. CIKM Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He
2020	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2020	A*	`conf`	Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. WWW Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He
2020	A*	`conf`	Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. WWW Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He
2020	A*	`conf`	Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. KDD Can Liu, Qiwei Zhong, Xiang Ao, Li Sun, Wangli Lin, Jinghua Feng, Qing He, Jiayu Tang
2020	—	`conf`	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. EMNLP (Findings) Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, Xiang Wan
2020	J	`jnl`	Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. CoRR Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, Xiang Wan
2020	J	`jnl`	Improving Robustness and Generality of NLP Models Using Disentangled Representations. CoRR Jiawei Wu, Xiaoya Li, Xiang Ao, Yuxian Meng, Fei Wu, Jiwei Li
2020	J	`jnl`	Improving social and behavior recommendations via network embedding. Inf. Sci. Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li
2020	B	`conf`	Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. COLING Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian
2020	A*	`conf`	Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. ACL Yuanhe Tian, Yan Song, Xiang Ao, Fei Xia, Xiaojun Quan, Tong Zhang, Yonggang Wang
2020	A*	`conf`	Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. ICDM Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang
2020	B	`conf`	Meet Changes with Constancy: Learning Invariance in Multi-Source Translation. COLING Jianfeng Liu, Ling Luo, Xiang Ao, Yan Song, Haoran Xu, Jian Ye
2020	J	`jnl`	Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. J. Comput. Sci. Technol. Fuzhen Zhuang, Ying-Min Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong
2020	A*	`conf`	Towards Explainable Conversational Recommendation. IJCAI Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
2019	—	`conf`	A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. EMNLP/IJCNLP (1) Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang
2019	A	`conf`	A Unified Generation-Retrieval Framework for Image Captioning. CIKM Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian
2019	J	`jnl`	Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2019	A	`conf`	Cross-modal Image-Text Retrieval with Multitask Learning. CIKM Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang
2019	J	`jnl`	Grid-based DBSCAN: Indexing and inference. Pattern Recognit. Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He
2019	J	`jnl`	Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction. CoRR Chi Xu, Hao Feng, Xiang Ao
2019	J	`jnl`	Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. ACM Trans. Intell. Syst. Technol. Xiang Ao, Haoran Shi, Jin Wang, Luo Zuo, Hongwei Li, Qing He
2019	J	`jnl`	Multi-Aspect Embedding for Attribute-Aware Trajectories. Symmetry Thapana Boonchoo, Xiang Ao, Qing He
2019	—	`conf`	Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He
2019	—	`conf`	SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. DASFAA (2) Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li
2019	J	`jnl`	Supervised representation learning for multi-label classification. Mach. Learn. Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He
2019	J	`jnl`	Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. CoRR Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He
2019	A*	`conf`	Unsupervised Neural Aspect Extraction with Sememes. IJCAI Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu
2019	A*	`conf`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2019	J	`jnl`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2018	J	`jnl`	An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data. CoRR Thapana Boonchoo, Xiang Ao, Qing He
2018	A*	`conf`	Attention-driven Factor Model for Explainable Personalized Recommendation. SIGIR Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2018	A*	`conf`	Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. IJCAI Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
2018	J	`jnl`	Cross-domain novelty seeking trait mining for sequential recommendation. CoRR Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2018	J	`jnl`	Discovering and learning sensational episodes of news events. Inf. Syst. Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2018	—	`conf`	Free-Rider Episode Screening via Dual Partition Model. DASFAA (1) Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
2018	J	`jnl`	Free-rider Episode Screening via Dual Partition Model. CoRR Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
2018	J	`jnl`	Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. CoRR Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He
2018	J	`jnl`	Mining Precise-Positioning Episode Rules from Event Sequences. IEEE Trans. Knowl. Data Eng. Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2017	A*	`conf`	Mining Precise-Positioning Episode Rules from Event Sequences. ICDE Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He
2017	—	`conf`	Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. WWW (Companion Volume) Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2016	J	`jnl`	Bag of little bootstraps on features for enhancing classification performance. Intell. Data Anal. Haocheng Wang, Fuzhen Zhuang, Xin Jin, Xiang Ao, Qing He
2015	A*	`conf`	Online Frequent Episode Mining. ICDE Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He
2014	J	`jnl`	Combining supervised and unsupervised models via unconstrained probabilistic embedding. Inf. Sci. Xiang Ao, Ping Luo, Xudong Ma, Fuzhen Zhuang, Qing He, Zhongzhi Shi, Zhiyong Shen
2014	—	`conf`	Discovering and learning sensational episodes of news events. WWW (Companion Volume) Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi
2014	C	`conf`	Scalable bootstrap clustering for massive data. SNPD Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi
2012	—	`conf`	TINAC: A fast and effective web video topic detection framework. FSKD Xiang Ao, Fuzhen Zhuang, Qing He, Zhongzhi Shi