| 2026 | KDD | Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms. | Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He |
| 2026 | WWW | Robust Graph Learning on the Web: Challenges, Methods, and Applications. | Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He |
| 2026 | WWW | Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs. | Zihui Chen, Yuling Wang, Pengfei Jiao, Kai Wu, Xiao Wang, Xiang Ao, Dalin Zhang |
| 2026 | SIGIR | Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment. | Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He |
| 2026 | SIGIR | Follow the TRACE: Exploiting Post-Click Trajectories for Online Delayed Conversion Rate Prediction. | Xinyue Zhang, Yuanhao Ding, Xiang Ao |
| 2025 | AAAI | Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. | Yiran Qiao, Ningtao Wang, Yuncong Gao, Yang Yang, Xing Fu, Weiqiang Wang, Xiang Ao |
| 2025 | AAAI | AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors. | Hao Shi, Weili Song, Xinting Zhang, Jiahe Shi, Cuicui Luo, Xiang Ao, Hamid Arian, Luis Angel Seco |
| 2025 | AAAI | Dynamic Graph Learning with Static Relations for Credit Risk Assessment. | Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao |
| 2025 | AAAI | Controlling Large Language Models Through Concept Activation Vectors. | Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He |
| 2025 | ACL | Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. | Chengao Li, Hanyu Zhang, Yunkun Xu, Hongyan Xue, Xiang Ao, Qing He |
| 2025 | CIKM | Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. | Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu |
| 2025 | DASFAA | OFTEN: Graph Invariant Learning via Soft Environment Inference. | Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He |
| 2025 | ICASSP | Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization. | Yi Qiao, Yang Liu, Qing He, Xiang Ao |
| 2025 | ICDM | Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes. | Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao |
| 2025 | ICDM | Beyond the Pre-Service Horizon: Infusing In-Service Behavior for Improved Financial Risk Forecasting. | Senhao Liu, Zhiyu Guo, Zhiyuan Ji, Yueguo Chen, Yateng Tang, Yunhai Wang, Xuehao Zheng, Xiang Ao |
| 2025 | IJCNN | Resources-Efficient Accelerated K-Asynchronous Adaptive Federated Learning. | Xiang Ao, Maolan Zhang, Zhenyan Wang, Jiamiao Liu, Yu Zhang, Xuetao Chen, Dewen Qiao |
| 2025 | KDD | GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation. | Zhiyu Guo, Yang Liu, Xiang Ao, Qing He |
| 2025 | WWW | SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. | Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao |
| 2025 | WWW | Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. | Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He |
| 2025 | WSDM | LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He |
| 2024 | AAAI | Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. | Qiming Liu, Xiang Ao, Yuyao Guo, Qing He |
| 2024 | ACL | EFSA: Towards Event-Level Financial Sentiment Analysis. | Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao |
| 2024 | COLING | DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. | Ruize Yuan, Xiang Ao, Li Zeng, Qing He |
| 2024 | COLING | Distillation with Explanations from Large Language Models. | Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He |
| 2024 | EMNLP | Rethinking the Evaluation of In-Context Learning for LLMs. | Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao |
| 2024 | ICASSP | Prototype Calibration with Synthesized Samples for Zero-Shot Chinese Character Recognition. | Xiang Ao, Xiaohui Li, Xu-Yao Zhang, Chenglin Liu |
| 2024 | ICASSP | F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection. | Guanghui Hu, Yang Liu, Qing He, Xiang Ao |
| 2024 | ICDM | Financial Risk Assessment via Long-term Payment Behavior Sequence Folding. | Yiran Qiao, Yateng Tang, Xiang Ao, Qi Yuan, Ziming Liu, Chen Shen, Xuehao Zheng |
| 2024 | ICLR | 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 |
| 2024 | WSDM | Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. | Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao |
| 2023 | AAAI | Defending against Backdoor Attacks in Natural Language Generation. | Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu, Jiwei Li, Tianwei Zhang |
| 2023 | AAAI | Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. | Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He |
| 2023 | ACL | 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 |
| 2023 | CIKM | Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. | Yuyao Guo, Xiang Ao, Qiming Liu, Qing He |
| 2023 | DASFAA | Semantic-Driven Instance Generation for Table Question Answering. | Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He |
| 2023 | EMNLP | Retrieval-Augmented Few-shot Text Classification. | Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao |
| 2023 | ICDE | Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. | Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He |
| 2023 | ICDM | Fact-Preserved Personalized News Headline Generation. | Zhao Yang, Junhong Lian, Xiang Ao |
| 2023 | ICLR | Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. | Kuan Li, Yang Liu, Xiang Ao, Qing He |
| 2023 | ICMLC | Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. | Guang-Yu Cheng, Shuo Yu, Wen-Bin Jiang, Shuai Ma, Xiang Ao, Qing He |
| 2023 | KDD | 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 |
| 2023 | KDD | Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. | Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He |
| 2023 | SIGIR | 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 |
| 2022 | AAAI | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | Explainable Graph-based Fraud Detection via Neural Meta-graph Search. | Zidi Qin, Yang Liu, Qing He, Xiang Ao |
| 2022 | CIKM | Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. | Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He |
| 2022 | DASFAA | 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 |
| 2022 | DASFAA | 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 |
| 2022 | DASFAA | 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 |
| 2022 | KDD | 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 |
| 2022 | KDD | UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. | Yang Liu, Xiang Ao, Fuli Feng, Qing He |
| 2022 | KDD | User Behavior Pre-training for Online Fraud Detection. | Can Liu, Yuncong Gao, Li Sun, Jinghua Feng, Hao Yang, Xiang Ao |
| 2022 | WWW | AUC-oriented Graph Neural Network for Fraud Detection. | Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He |
| 2022 | SIGIR | User-Centric Conversational Recommendation with Multi-Aspect User Modeling. | Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He |
| 2022 | SIGIR | Selective Fairness in Recommendation via Prompts. | Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He |
| 2021 | AAAI | A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. | Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang |
| 2021 | AAAI | Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. | Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu |
| 2021 | ACL | PENS: A Dataset and Generic Framework for Personalized News Headline Generation. | Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | DASFAA | Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. | Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao |
| 2021 | EMNLP | Layer-wise Model Pruning based on Mutual Information. | Chun Fan, Jiwei Li, Tianwei Zhang, Xiang Ao, Fei Wu, Yuxian Meng, Xiaofei Sun |
| 2021 | EMNLP | ConRPG: Paraphrase Generation using Contexts as Regularizer. | Yuxian Meng, Xiang Ao, Qing He, Xiaofei Sun, Qinghong Han, Fei Wu, Chun Fan, Jiwei Li |
| 2021 | EMNLP | 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 |
| 2021 | IJCAI | 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 |
| 2021 | KDD | Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. | Can Liu, Li Sun, Xiang Ao, Jinghua Feng, Qing He, Hao Yang |
| 2021 | WWW | 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 |
| 2021 | WWW | GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. | Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He |
| 2021 | SIGIR | Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. | Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu |
| 2021 | SIGIR | 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 |
| 2021 | WSDM | 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 |
| 2020 | ACL | 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 |
| 2020 | CIKM | Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. | Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He |
| 2020 | COLING | Meet Changes with Constancy: Learning Invariance in Multi-Source Translation. | Jianfeng Liu, Ling Luo, Xiang Ao, Yan Song, Haoran Xu, Jian Ye |
| 2020 | COLING | Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. | Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian |
| 2020 | EMNLP | Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. | Yuyang Nie, Yuanhe Tian, Yan Song, Xiang Ao, Xiang Wan |
| 2020 | ICDM | Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. | Jianfeng Chi, Guanxiong Zeng, Qiwei Zhong, Ting Liang, Jinghua Feng, Xiang Ao, Jiayu Tang |
| 2020 | IJCAI | Towards Explainable Conversational Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen |
| 2020 | KDD | 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 |
| 2020 | WWW | 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 |
| 2020 | WWW | 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 |
| 2019 | CIKM | Cross-modal Image-Text Retrieval with Multitask Learning. | Junyu Luo, Ying Shen, Xiang Ao, Zhou Zhao, Min Yang |
| 2019 | CIKM | A Unified Generation-Retrieval Framework for Image Captioning. | Chunpu Xu, Wei Zhao, Min Yang, Xiang Ao, Wangrong Cheng, Jinwen Tian |
| 2019 | DASFAA | SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. | Weizhong Zhao, Huifang Ma, Zhixin Li, Xiang Ao, Ning Li |
| 2019 | EMNLP | A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. | Qingnan Jiang, Lei Chen, Ruifeng Xu, Xiang Ao, Min Yang |
| 2019 | EMNLP | Reading Like HER: Human Reading Inspired Extractive Summarization. | Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He |
| 2019 | ICDAR | Cross-Modal Prototype Learning for Zero-Shot Handwriting Recognition. | Xiang Ao, Xu-Yao Zhang, Hong-Ming Yang, Fei Yin, Cheng-Lin Liu |
| 2019 | IJCAI | Unsupervised Neural Aspect Extraction with Sememes. | Ling Luo, Xiang Ao, Yan Song, Jinyao Li, Xiaopeng Yang, Qing He, Dong Yu |
| 2019 | SIGIR | Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. | Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He |
| 2018 | DASFAA | Free-Rider Episode Screening via Dual Partition Model. | Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He |
| 2018 | IJCAI | 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 |
| 2018 | SIGIR | Attention-driven Factor Model for Explainable Personalized Recommendation. | Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He |
| 2017 | ICDE | Mining Precise-Positioning Episode Rules from Event Sequences. | Xiang Ao, Ping Luo, Jin Wang, Fuzhen Zhuang, Qing He |
| 2017 | WWW | Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. | Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He |
| 2015 | ICDE | Online Frequent Episode Mining. | Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He |
| 2014 | WWW | Discovering and learning sensational episodes of news events. | Xiang Ao, Ping Luo, Chengkai Li, Fuzhen Zhuang, Qing He, Zhongzhi Shi |
| 2014 | VCIP | Kinship classification based on discriminative facial patches. | Jie Dong, Xiang Ao, Songzhi Su, Shaozi Li |
| 2014 | SNPD | Scalable bootstrap clustering for massive data. | Haocheng Wang, Fuzhen Zhuang, Xiang Ao, Qing He, Zhongzhi Shi |
| 2008 | IUI | Multimodal Chinese text entry with speech and keypad on mobile devices. | Yingying Jiang, XuGang Wang, Feng Tian, Xiang Ao, Guozhong Dai, Hongan Wang |
| 2007 | CHI | The tilt cursor: enhancing stimulus-response compatibility by providing 3d orientation cue of pen. | Feng Tian, Xiang Ao, Hongan Wang, Vidya Setlur, Guozhong Dai |
| 2007 | HCI | CoConceptMap: A System for Collaborative Concept Mapping. | Mingjun Zhou, Xiang Ao, Lishuang Xu, Feng Tian, Guozhong Dai |
| 2007 | IUI | Crossmodal error dorrection of continuous handwriting recognition by speech. | Xiang Ao, XuGang Wang, Feng Tian, Guozhong Dai, Hongan Wang |
| 2006 | IUI | Structuralizing digital ink for efficient selection. | Xiang Ao, Junfeng Li, XuGang Wang, Guozhong Dai |
| 2006 | IUI | Multimodal error correction for continuous handwriting recognition in pen-based user interfaces. | XuGang Wang, Junfeng Li, Xiang Ao, Gang Wang, Guozhong Dai |
| 2005 | IUI | Sketch recognition with continuous feedback based on incremental intention extraction. | Junfeng Li, Xiwen Zhang, Xiang Ao, Guozhong Dai |