TINAC: A fast and effective web video topic detection framework. - Xiang Ao 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (FSKD, 2012)

Scalable bootstrap clustering for massive data. - Haocheng Wang; Fuzhen Zhuang; Xiang Ao 001; Qing He 003; Zhongzhi Shi (SNPD, 2014)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi (WWW (Companion Volume), 2014)

Combining supervised and unsupervised models via unconstrained probabilistic embedding. - Xiang Ao 001; Ping Luo 001; Xudong Ma; Fuzhen Zhuang; Qing He 003; Zhongzhi Shi; Zhiyong Shen (Inf. Sci., 2014)

Online Frequent Episode Mining. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (ICDE, 2015)

Bag of little bootstraps on features for enhancing classification performance. - Haocheng Wang; Fuzhen Zhuang; Xin Jin 004; Xiang Ao 001; Qing He 003 (Intell. Data Anal., 2016)

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (WWW (Companion Volume), 2017)

Free-Rider Episode Screening via Dual Partition Model. - Xiang Ao 001; Yang Liu 200; Zhen Huang; Luo Zuo; Qing He 003 (DASFAA (1), 2018)

Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. - Ling Luo; Xiang Ao 001; Feiyang Pan; Jin Wang 007; Tong Zhao; Ningzi Yu; Qing He 003 (IJCAI, 2018)

Attention-driven Factor Model for Explainable Personalized Recommendation. - Jingwu Chen; Fuzhen Zhuang; Xin Hong; Xiang Ao 001; Xing Xie 001; Qing He 003 (SIGIR, 2018)

An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data. - Thapana Boonchoo; Xiang Ao 001; Qing He 003 (CoRR, 2018)

Cross-domain novelty seeking trait mining for sequential recommendation. - Fuzhen Zhuang; Yingmin Zhou; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003 (CoRR, 2018)

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. - Ganbin Zhou; Rongyu Cao; Xiang Ao 001; Ping Luo 001; Fen Lin; Leyu Lin; Qing He 003 (CoRR, 2018)

Discovering and learning sensational episodes of news events. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2018)

Mining Precise-Positioning Episode Rules from Event Sequences. - Xiang Ao 001; Ping Luo 001; Jin Wang 007; Fuzhen Zhuang; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2018)

Cross-modal Image-Text Retrieval with Multitask Learning. - Junyu Luo 001; Ying Shen 001; Xiang Ao 001; Zhou Zhao 001; Min Yang 007 (CIKM, 2019)

A Unified Generation-Retrieval Framework for Image Captioning. - Chunpu Xu; Wei Zhao 033; Min Yang 007; Xiang Ao 001; Wangrong Cheng; Jinwen Tian (CIKM, 2019)

SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding. - Weizhong Zhao; Huifang Ma; Zhixin Li 001; Xiang Ao 001; Ning Li (DASFAA (2), 2019)

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis. - Qingnan Jiang; Lei Chen 072; Ruifeng Xu 001; Xiang Ao 001; Min Yang 007 (EMNLP/IJCNLP (1), 2019)

Reading Like HER: Human Reading Inspired Extractive Summarization. - Ling Luo; Xiang Ao 001; Yan Song 003; Feiyang Pan; Min Yang 007; Qing He 003 (EMNLP/IJCNLP (1), 2019)

Unsupervised Neural Aspect Extraction with Sememes. - Ling Luo; Xiang Ao 001; Yan Song 003; Jinyao Li; Xiaopeng Yang; Qing He 003; Dong Yu 001 (IJCAI, 2019)

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Pingzhong Tang; Qing He 003 (SIGIR, 2019)

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Qing He 003 (CoRR, 2019)

Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction. - Chi Xu; Hao Feng; Xiang Ao 001 (CoRR, 2019)

Corrigendum to "Discovering and learning sensational episodes of news events" [Information Systems 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2019)

Supervised representation learning for multi-label classification. - Ming Huang; Fuzhen Zhuang; Xiao Zhang 015; Xiang Ao 001; Zhengyu Niu; Min-Ling Zhang; Qing He 003 (Mach. Learn., 2019)

Grid-based DBSCAN: Indexing and inference. - Thapana Boonchoo; Xiang Ao 001; Yang Liu 200; Weizhong Zhao; Fuzhen Zhuang; Qing He 003 (Pattern Recognit., 2019)

Multi-Aspect Embedding for Attribute-Aware Trajectories. - Thapana Boonchoo; Xiang Ao 001; Qing He 003 (Symmetry, 2019)

Large-Scale Frequent Episode Mining from Complex Event Sequences with Hierarchies. - Xiang Ao 001; Haoran Shi; Jin Wang 007; Luo Zuo; Hongwei Li; Qing He 003 (ACM Trans. Intell. Syst. Technol., 2019)

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge. - Yuanhe Tian; Yan Song 003; Xiang Ao 001; Fei Xia 004; Xiaojun Quan; Tong Zhang 001; Yonggang Wang (ACL, 2020)

Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment. - Yang Liu 200; Xiang Ao 001; Qiwei Zhong; Jinghua Feng; Jiayu Tang; Qing He 003 (CIKM, 2020)

Meet Changes with Constancy: Learning Invariance in Multi-Source Translation. - Jianfeng Liu; Ling Luo; Xiang Ao 001; Yan Song 003; Haoran Xu; Jian Ye (COLING, 2020)

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. - Chunpu Xu; Yu Li; Chengming Li; Xiang Ao 001; Min Yang 007; Jinwen Tian (COLING, 2020)

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information. - Yuyang Nie; Yuanhe Tian; Yan Song 003; Xiang Ao 001; Xiang Wan (EMNLP (Findings), 2020)

Learning to Undersampling for Class Imbalanced Credit Risk Forecasting. - Jianfeng Chi; Guanxiong Zeng; Qiwei Zhong; Ting Liang; Jinghua Feng; Xiang Ao 001; Jiayu Tang (ICDM, 2020)

Towards Explainable Conversational Recommendation. - Zhongxia Chen; Xiting Wang; Xing Xie 001; Mehul Parsana; Akshay Soni; Xiang Ao 001; Enhong Chen (IJCAI, 2020)

Fraud Transactions Detection via Behavior Tree with Local Intention Calibration. - Can Liu; Qiwei Zhong; Xiang Ao 001; Li Sun; Wangli Lin; Jinghua Feng; Qing He 003; Jiayu Tang (KDD, 2020)

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Lei Xiao; Qing He 003 (WWW, 2020)

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network. - Qiwei Zhong; Yang Liu 200; Xiang Ao 001; Binbin Hu; Jinghua Feng; Jiayu Tang; Qing He 003 (WWW, 2020)

Improving Robustness and Generality of NLP Models Using Disentangled Representations. - Jiawei Wu; Xiaoya Li 001; Xiang Ao 001; Yuxian Meng; Fei Wu 001; Jiwei Li 001 (CoRR, 2020)

Corrigendum to "Discovering and learning sensational episodes of news events" [Inf. Syst. 78 (2018) 68-80]. - Xiang Ao 001; Ping Luo 001; Chengkai Li 001; Fuzhen Zhuang; Qing He 003 (Inf. Syst., 2020)

Improving social and behavior recommendations via network embedding. - Weizhong Zhao; Huifang Ma; Zhixin Li 001; Xiang Ao 001; Ning Li (Inf. Sci., 2020)

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining. - Fuzhen Zhuang; Ying-Min Zhou; Haochao Ying; Fuzheng Zhang; Xiang Ao 001; Xing Xie 001; Qing He 003; Hui Xiong 001 (J. Comput. Sci. Technol., 2020)

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. - Lei Chen 072; Fajie Yuan; Jiaxi Yang; Xiang Ao 001; Chengming Li; Min Yang 007 (AAAI, 2021)

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. - Chunpu Xu; Min Yang 007; Chengming Li; Ying Shen 001; Xiang Ao 001; Ruifeng Xu 001 (AAAI, 2021)

PENS: A Dataset and Generic Framework for Personalized News Headline Generation. - Xiang Ao 001; Xiting Wang; Ling Luo; Ying Qiao; Qing He 003; Xing Xie 001 (ACL/IJCNLP (1), 2021)

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information. - Zijun Sun; Xiaoya Li 001; Xiaofei Sun 001; Yuxian Meng; Xiang Ao 001; Qing He 003; Fei Wu 001; Jiwei Li 001 (ACL/IJCNLP (1), 2021)

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis. - Guoxin Yu; Xiang Ao 001; Ling Luo; Min Yang 007; Xiaofei Sun 001; Jiwei Li 001; Qing He 003 (ACL/IJCNLP (Findings), 2021)

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. - Chi Xu; Hao Feng; Guoxin Yu; Min Yang 007; Xiting Wang; Yan Song 003; Xiang Ao 001 (DASFAA (2), 2021)

Layer-wise Model Pruning based on Mutual Information. - Chun Fan 001; Jiwei Li 001; Tianwei Zhang 004; Xiang Ao 001; Fei Wu 001; Yuxian Meng; Xiaofei Sun 001 (EMNLP (1), 2021)

ConRPG: Paraphrase Generation using Contexts as Regularizer. - Yuxian Meng; Xiang Ao 001; Qing He 003; Xiaofei Sun 001; Qinghong Han; Fei Wu 001; Chun Fan 001; Jiwei Li 001 (EMNLP (1), 2021)

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension. - Guoxin Yu; Jiwei Li 001; Ling Luo; Yuxian Meng; Xiang Ao 001; Qing He 003 (EMNLP (Findings), 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 001; Hao Yang 037 (IJCAI, 2021)

Intention-aware Heterogeneous Graph Attention Networks for Fraud Transactions Detection. - Can Liu; Li Sun; Xiang Ao 001; Jinghua Feng; Qing He 003; Hao Yang 037 (KDD, 2021)

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification. - Binzong Geng; Min Yang 007; Fajie Yuan; Shupeng Wang; Xiang Ao 001; Ruifeng Xu 001 (SIGIR, 2021)

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. - Haoming Li 011; Feiyang Pan; Xiang Ao 001; Zhao Yang; Min Lu; Junwei Pan; Dapeng Liu; Lei Xiao; Qing He 003 (SIGIR, 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 001; Jiayu Tang (WSDM, 2021)

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection. - Yang Liu 200; Xiang Ao 001; Zidi Qin; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (WWW, 2021)

Defending against Backdoor Attacks in Natural Language Generation. - Chun Fan 001; Xiaoya Li 001; Yuxian Meng; Xiaofei Sun 001; Xiang Ao 001; Fei Wu 001; Jiwei Li 001; Tianwei Zhang 004 (CoRR, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Bandits. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (CoRR, 2021)

Layer-wise Model Pruning based on Mutual Information. - Chun Fan 001; Jiwei Li 001; Xiang Ao 001; Fei Wu 001; Yuxian Meng; Xiaofei Sun 001 (CoRR, 2021)

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. - Chunpu Xu; Min Yang 007; Xiang Ao 001; Ying Shen 001; Ruifeng Xu 001; Jinwen Tian (Knowl. Based Syst., 2021)

Temporal high-order proximity aware behavior analysis on Ethereum. - Xiang Ao 001; Yang Liu 200; Zidi Qin; Yi Sun 004; Qing He 003 (World Wide Web, 2021)

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Dehong Gao; Fuzhen Zhuang; Yi Wei; Qing He 003 (AAAI, 2022)

Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising. - Yuyao Guo; Haoming Li 011; Xiang Ao 001; Min Lu; Dapeng Liu; Lei Xiao; Jie Jiang 015; Qing He 003 (CIKM, 2022)

Explainable Graph-based Fraud Detection via Neural Meta-graph Search. - Zidi Qin; Yang Liu 200; Qing He 003; Xiang Ao 001 (CIKM, 2022)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Fuzhen Zhuang; Yongjun Xu 001; Qing He 003 (CIKM, 2022)

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection. - Linfeng Dong; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (DASFAA (1), 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-Domain Credit Risk Forecasting. - Guanxiong Zeng; Jianfeng Chi; Rui Ma; Jinghua Feng; Xiang Ao 001; Hao Yang 037 (DASFAA (1), 2022)

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN. - Kuan Li; Yang Liu 200; Xiang Ao 001; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (KDD, 2022)

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Qing He 003 (KDD, 2022)

User Behavior Pre-training for Online Fraud Detection. - Can Liu; Yuncong Gao; Li Sun; Jinghua Feng; Hao Yang 037; Xiang Ao 001 (KDD, 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

AUC-oriented Graph Neural Network for Fraud Detection. - Mengda Huang; Yang Liu 200; Xiang Ao 001; Kuan Li; Jianfeng Chi; Jinghua Feng; Hao Yang 037; Qing He 003 (WWW, 2022)

Relation Reconstructive Binarization of word embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Qing He 003 (Frontiers Comput. Sci., 2022)

Learning policy scheduling for text augmentation. - Shuokai Li; Xiang Ao 001; Feiyang Pan; Qing He 003 (Neural Networks, 2022)

Sentence Similarity Based on Contexts. - Xiaofei Sun 001; Yuxian Meng; Xiang Ao 001; Fei Wu 001; Tianwei Zhang 004; Jiwei Li 001; Chun Fan 001 (Trans. Assoc. Comput. Linguistics, 2022)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2022)

Defending against Backdoor Attacks in Natural Language Generation. - Xiaofei Sun 001; Xiaoya Li 001; Yuxian Meng; Xiang Ao 001; Lingjuan Lyu; Jiwei Li 001; Tianwei Zhang 004 (AAAI, 2023)

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. - Zixian Zhou; Mengda Huang; Feiyang Pan; Jia He 001; Xiang Ao 001; Dandan Tu; Qing He 003 (AAAI, 2023)

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. - Guoxin Yu; Lemao Liu; Haiyun Jiang; Shuming Shi 001; Xiang Ao 001 (ACL (Findings), 2023)

Leveraging Post-Click User Behaviors for Calibrated Conversion Rate Prediction Under Delayed Feedback in Online Advertising. - Yuyao Guo; Xiang Ao 001; Qiming Liu; Qing He 003 (CIKM, 2023)

Semantic-Driven Instance Generation for Table Question Answering. - Shuai Ma; Wenbin Jiang 002; Xiang Ao 001; Meng Tian; Xinwei Feng; Yajuan Lyu; Qiaoqiao She; Qing He 003 (DASFAA (1), 2023)

Retrieval-Augmented Few-shot Text Classification. - Guoxin Yu; Lemao Liu; Haiyun Jiang; Shuming Shi 001; Xiang Ao 001 (EMNLP (Findings), 2023)

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract. - Yang Liu 200; Xiang Ao 001; Linfeng Dong; Chao Zhang 014; Jin Wang 007; Qing He 003 (ICDE, 2023)

Fact-Preserved Personalized News Headline Generation. - Zhao Yang; Junhong Lian; Xiang Ao 001 (ICDM, 2023)

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective. - Kuan Li; Yang Liu 200; Xiang Ao 001; Qing He 003 (ICLR, 2023)

Lifting the Answer: Reranking Candidates on Data Augmented Text-to-SQL. - Guang-Yu Cheng; Shuo Yu 003; Wen-Bin Jiang 002; Shuai Ma; Xiang Ao 001; Qing He 003 (ICMLC, 2023)

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Yunshan Ma; Kuan Li; Tat-Seng Chua; Qing He 003 (KDD, 2023)

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. - Shuo Yu 003; Hongyan Xue; Xiang Ao 001; Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (KDD, 2023)

Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising. - Qiming Liu; Haoming Li 011; Xiang Ao 001; Yuyao Guo; Zhihong Dong; Ruobing Zhang; Qiong Chen; Jianfeng Tong; Qing He 003 (SIGIR, 2023)

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. - Qiming Liu; Xiang Ao 001; Yuyao Guo; Qing He 003 (AAAI, 2024)

EFSA: Towards Event-Level Financial Sentiment Analysis. - Tianyu Chen; Yiming Zhang; Guoxin Yu; Dapeng Zhang; Li Zeng; Qing He 003; Xiang Ao 001 (ACL (1), 2024)

Distillation with Explanations from Large Language Models. - Hanyu Zhang; Xiting Wang; Xiang Ao 001; Qing He 003 (LREC/COLING, 2024)

Rethinking the Evaluation of In-Context Learning for LLMs. - Guoxin Yu; Lemao Liu; Mo Yu; Yue Yu; Xiang Ao 001 (EMNLP, 2024)

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. - Kuan Li; Yiwen Chen; Yang Liu 200; Jin Wang 007; Qing He 003; Minhao Cheng; Xiang Ao 001 (ICLR, 2024)

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. - Xinke Jiang; Zidi Qin; Jiarong Xu; Xiang Ao 001 (WSDM, 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 001 (CoRR, 2024)

Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. - Zhiyu Guo; Xiang Ao 001; Qing He 003 (IEEE Trans. Comput. Soc. Syst., 2024)

Put Your Voice on Stage: Personalized Headline Generation for News Articles. - Xiang Ao 001; Ling Luo; Xiting Wang; Zhao Yang; Jiun-Hung Chen; Ying Qiao; Qing He 003; Xing Xie 001 (ACM Trans. Knowl. Discov. Data, 2024)

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment. - Yiran Qiao; Ningtao Wang; Yuncong Gao; Yang Yang; Xing Fu; Weiqiang Wang; Xiang Ao 001 (AAAI, 2025)

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models. - Chengao Li; Hanyu Zhang; Yunkun Xu; Hongyan Xue; Xiang Ao 001; Qing He 003 (ACL (1), 2025)

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework. - Yiran Qiao; Xiang Ao 001; Yang Liu 200; Jiarong Xu; Xiaoqian Sun; Qing He 003 (WSDM, 2025)

SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks. - Yuanhao Ding; Yang Liu 200; Yugang Ji; Weigao Wen; Qing He 003; Xiang Ao 001 (WWW, 2025)

Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation. - Junhong Lian; Xiang Ao 001; Xinyu Liu; Yang Liu 200; Qing He 003 (WWW (Companion Volume), 2025)