An Android dynamic data protection model based on light virtualization. - Qingqing Sun; Tao Qi; Tan Yang; Yidong Cui (ICCT, 2013)

Tolerant-scheduling with channel switch latency consideration for hybrid WDM/TDM PON. - Zhao Zhou; Shilin Xiao; Meihua Bi; Min Zhu; Pingqing Li; Tao Qi; Weisheng Hu (ONDM, 2013)

Rayleigh noise suppression with cascaded RSOAs in WDM-PON system. - Hanlin Feng; Shilin Xiao; Lilin Yi; Zhao Zhou; Tao Qi; Weisheng Hu (WOCC, 2013)

SEPPA 2.0 - more refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen. - Tao Qi; Tianyi Qiu; Qingchen Zhang; Kailin Tang; Yangyang Fan; Jingxuan Qiu; Dingfeng Wu; Wei Zhang; Yanan Chen; Jun Gao; Ruixin Zhu; Zhiwei Cao (Nucleic Acids Res., 2014)

On-Demand Self-Adaptivity of Service Availability for Cloud Multi-tier Applications. - Jin Yang; Jianmin Pang; Ning Qi; Tao Qi (CCGRID, 2015)

Research on automated testing framework for multi-platform mobile applications. - Da Zun; Tao Qi; Liping Chen (CCIS, 2016)

An anonymous authentication mechanism based on Kerberos and HIBC. - Linna Fan; Xiaofeng Song; Weiwei Zhao; Haodan Ran; Jingzhi Li; Deyang Shi; Suining Mu; Tao Qi (ICETC, 2018)

Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. - Tao Qi; Chuhan Wu; Fangzhao Wu; Suyu Ge; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CCKS, 2019)

Neural Gender Prediction in Microblogging with Emotion-aware User Representation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (CIKM, 2019)

Title-Aware Neural News Topic Prediction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CCL, 2019)

Neural Gender Prediction from News Browsing Data. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CCL, 2019)

Neural News Recommendation with Heterogeneous User Behavior. - Chuhan Wu; Fangzhao Wu; Mingxiao An; Tao Qi; Jianqiang Huang; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Neural News Recommendation with Multi-Head Self-Attention. - Chuhan Wu; Fangzhao Wu; Suyu Ge; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. - Chuhan Wu; Fangzhao Wu; Tao Qi; Suyu Ge; Yongfeng Huang 001; Xing Xie 001 (EMNLP/IJCNLP (1), 2019)

THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2019)

THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. - Tao Qi; Suyu Ge; Chuhan Wu; Yubo Chen 002; Yongfeng Huang 001 (SemEval@NAACL-HLT, 2019)

Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. - Suyu Ge; Tao Qi; Chuhan Wu; Yongfeng Huang 001 (SMM4H@ACL, 2019)

Helpfulness-aware review based neural recommendation. - Suyu Ge; Tao Qi; Chuhan Wu; Fangzhao Wu; Xing Xie 001; Yongfeng Huang 001 (CCF Trans. Pervasive Comput. Interact., 2019)

MIND: A Large-scale Dataset for News Recommendation. - Fangzhao Wu; Ying Qiao; Jiun-Hung Chen; Chuhan Wu; Tao Qi; Jianxun Lian; Danyang Liu; Xing Xie 001; Jianfeng Gao 001; Winnie Wu; Ming Zhou 001 (ACL, 2020)

Attentive Pooling with Learnable Norms for Text Representation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Xiaohui Cui; Yongfeng Huang 001 (ACL, 2020)

Named Entity Recognition with Context-Aware Dictionary Knowledge. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CNCL, 2020)

Clickbait Detection with Style-Aware Title Modeling and Co-attention. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CNCL, 2020)

Privacy-Preserving News Recommendation Model Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2020)

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. - Chuhan Wu; Fangzhao Wu; Tao Qi; Jianxun Lian; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2020)

User Modeling with Click Preference and Reading Satisfaction for News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (IJCAI, 2020)

Named Entity Recognition in Multi-level Contexts. - Yubo Chen 002; Chuhan Wu; Tao Qi; Zhigang Yuan; Yongfeng Huang 001 (AACL/IJCNLP, 2020)

SentiRec: Sentiment Diversity-aware Neural News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (AACL/IJCNLP, 2020)

Graph Enhanced Representation Learning for News Recommendation. - Suyu Ge; Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (WWW, 2020)

An Attention-Based User Preference Matching Network for Recommender System. - Yuchen Liu; Tan Yang; Tao Qi (IEEE Access, 2020)

FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. - Suyu Ge; Fangzhao Wu; Chuhan Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

Privacy-Preserving News Recommendation Model Training via Federated Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2020)

Improving Attention Mechanism with Query-Value Interaction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2020)

Detecting Entities of Works for Chinese Chatbot. - Chuhan Wu; Fangzhao Wu; Tao Qi; Junxin Liu; Yongfeng Huang 001; Xing Xie 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (ACL/IJCNLP (1), 2021)

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Peiru Yang; Yang Yu 038; Xing Xie 001; Yongfeng Huang 001 (ACL/IJCNLP (1), 2021)

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL/IJCNLP (2), 2021)

Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2021)

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. - Chuhan Wu; Fangzhao Wu; Yang Yu 038; Tao Qi; Yongfeng Huang 001; Qi Liu 003 (EMNLP (Findings), 2021)

From Human Oral Instructions to General Representations of Knowledge: A New Paradigm for Industrial Robots Skill Teaching. - Shiyu Chen; Yongjia Zhao; Xiaoyong Lei; Tao Qi; Kan Liu (ICCSIP, 2021)

Personalized News Recommendation with Knowledge-aware Interactive Matching. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2021)

Empowering News Recommendation with Pre-trained Language Models. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (SIGIR, 2021)

A Broadband Ultra-Thin Polarization Rotator Using Periodically Loaded Parallel Strip-Lines. - Xiaoming Liu; Tao Qi; Chen Wang; Xiaofan Yang; Lu Gan; Qing Cai (IEEE Access, 2021)

FeedRec: News Feed Recommendation with Various User Feedbacks. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

MM-Rec: Multimodal News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

Is News Recommendation a Sequential Recommendation Task? - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2021)

Fastformer: Additive Attention Can Be All You Need. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. - Chuhan Wu; Fangzhao Wu; Tao Qi; Binxing Jiao; Daxin Jiang; Yongfeng Huang 001 (CoRR, 2021)

UserBERT: Contrastive User Model Pre-training. - Chuhan Wu; Fangzhao Wu; Yang Yu 038; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2021)

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. - Yang Yu 038; Fangzhao Wu; Chuhan Wu; Jingwei Yi; Tao Qi; Qi Liu 003 (CoRR, 2021)

KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions. - Tao Qi; Shan Qiu; Xiaoqian Shen; Haopu Chen; Shuai Yang; Hao Wen 010; Ya Zhang; Yuanqing Wu 004; Yongfeng Huang 001 (J. Biomed. Informatics, 2021)

An Improved Feature Extraction Approach for Web Anomaly Detection Based on Semantic Structure. - Zishuai Cheng; Baojiang Cui; Tao Qi; Wenchuan Yang; Junsong Fu 001 (Secur. Commun. Networks, 2021)

Real-Time Learning and Recognition of Assembly Activities Based on Virtual Reality Demonstration. - Ning Zhang; Tao Qi; Yongjia Zhao (Sensors, 2021)

Firmware code instrumentation technology for internet of things-based services. - Chen Chen 061; Jinxin Ma; Tao Qi; Baojiang Cui; Weikong Qi; Zhaolei Zhang; Peng Sun (World Wide Web, 2021)

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL (2), 2022)

Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (ACL (Findings), 2022)

FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (KDD, 2022)

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Lingjuan Lyu; Tong Xu 001; Hao Liao; Zhongliang Yang; Yongfeng Huang 001; Xing Xie 001 (NeurIPS, 2022)

News Recommendation with Candidate-aware User Modeling. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2022)

FUM: Fine-grained and Fast User Modeling for News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Yongfeng Huang 001 (SIGIR, 2022)

ProFairRec: Provider Fairness-aware News Recommendation. - Tao Qi; Fangzhao Wu; Chuhan Wu; Peijie Sun; Le Wu; Xiting Wang; Yongfeng Huang 001; Xing Xie 001 (SIGIR, 2022)

UserBERT: Pre-training User Model with Contrastive Self-supervision. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (SIGIR, 2022)

Is News Recommendation a Sequential Recommendation Task? - Chuhan Wu; Fangzhao Wu; Tao Qi; Chenliang Li; Yongfeng Huang 001 (SIGIR, 2022)

MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Chao Zhang; Yongfeng Huang 001; Tong Xu 001 (SIGIR, 2022)

FeedRec: News Feed Recommendation with Various User Feedbacks. - Chuhan Wu; Fangzhao Wu; Tao Qi; Qi Liu 003; Xuan Tian; Jie Li; Wei He 020; Yongfeng Huang 001; Xing Xie 001 (WWW, 2022)

Traffic flow prediction using multi-view graph convolution and masked attention mechanism. - Lingqiang Chen; Pei Shi; Guanghui Li 001; Tao Qi (Comput. Commun., 2022)

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yanlin Wang 001; Yuqing Yang 001; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

Quality-aware News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Are Big Recommendation Models Fair to Cold Users? - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

End-to-end Learnable Diversity-aware News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

Unified and Effective Ensemble Knowledge Distillation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001 (CoRR, 2022)

FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. - Chuhan Wu; Fangzhao Wu; Tao Qi; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

Robust Quantity-Aware Aggregation for Federated Learning. - Jingwei Yi; Fangzhao Wu; Huishuai Zhang; Bin Zhu 008; Tao Qi; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. - Tao Qi; Fangzhao Wu; Chuhan Wu; Lingjuan Lyu; Tong Xu 001; Zhongliang Yang; Yongfeng Huang 001; Xing Xie 001 (CoRR, 2022)

ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction. - Tao Qi; Guanghui Li 001; Lingqiang Chen; Yanming Xue (IEEE Internet Things J., 2022)

Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model. - Jiang-jian Xie; Tao Qi; Wanjun Hu; Huaguo Huang; Beibei Chen; Junguo Zhang (Remote. Sens., 2022)

Learning target-aware background-suppressed correlation filters with dual regression for real-time UAV tracking. - Fei Zhang 013; Shiping Ma; Zhuling Qiu; Tao Qi (Signal Process., 2022)

FedSampling: A Better Sampling Strategy for Federated Learning. - Tao Qi; Fangzhao Wu; Lingjuan Lyu; Yongfeng Huang 001; Xing Xie 001 (IJCAI, 2023)

Static vulnerability mining of IoT devices based on control flow graph construction and graph embedding network. - Yuan Cheng; Baojiang Cui; Chen Chen 061; Thar Baker; Tao Qi (Comput. Commun., 2023)

Semi-supervised named entity recognition in multi-level contexts. - Yubo Chen 002; Chuhan Wu; Tao Qi; Zhigang Yuan; Yuesong Zhang; Shuai Yang; Jian Guan 009; Donghong Sun; Yongfeng Huang 001 (Neurocomputing, 2023)

FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network. - Tao Qi; Lingqiang Chen; Guanghui Li 001; Yijing Li; Chenshu Wang (Appl. Soft Comput., 2023)

Towards the Robustness of Differentially Private Federated Learning. - Tao Qi; Huili Wang; Yongfeng Huang 001 (AAAI, 2024)

Proactive video caching based on federated learning and implicit feedback in mobile edge computing. - Zhen Qian; Guanghui Li 001; Tao Qi; Chenglong Dai; Jia Hu (GLOBECOM, 2024)

Adaptive and robust watermark against model extraction attack. - Kaiyi Pang; Tao Qi; Chuhan Wu; Minhao Bai (CoRR, 2024)

LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation. - Zhen Yang; Wenhui Wang; Tao Qi; Peng Zhang; Tianyun Zhang; Ru Zhang; Jianyi Liu; Yongfeng Huang (CoRR, 2024)

Measuring Human Contribution in AI-Assisted Content Generation. - Yueqi Xie; Tao Qi; Jingwei Yi; Ryan Whalen; Junming Huang 001; Qian Ding; Yu Xie; Xing Xie 001; Fangzhao Wu (CoRR, 2024)

GLoCIM: Global-view Long Chain Interest Modeling for news recommendation. - Zhen Yang; Wenhui Wang; Tao Qi; Peng Zhang; Tianyun Zhang; Ru Zhang; Jianyi Liu; Yongfeng Huang (COLING, 2025)

An Effective Pipeline Vibration Trend Prediction Method Based on Adaptive Chirp Mode Decomposition and Long Short-Term Neural Networks. - Tao Qi; Yong Wang; Zhike Peng (IEEE Access, 2025)

Federated deep reinforcement learning-based cost-efficient proactive video caching in energy-constrained mobile edge networks. - Zhen Qian; Guanghui Li 001; Tao Qi; Chenglong Dai (Comput. Networks, 2025)

ModelShield: Adaptive and Robust Watermark Against Model Extraction Attack. - Kaiyi Pang; Tao Qi; Chuhan Wu; Minhao Bai; Minghu Jiang; Yongfeng Huang 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Evidencing Unauthorized Training Data from AI Generated Content using Information Isotopes. - Tao Qi; Jinhua Yin; Dongqi Cai 001; Yueqi Xie; Huili Wang; Hu Zhiyang; Peiru Yang; Guoshun Nan; Zhili Zhou 001; Shangguang Wang; Lingjuan Lyu; Yongfeng Huang 001; et al. (CoRR, 2025)

HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations. - Peiru Yang; Xintian Li; Hu Zhiyang; Jiapeng Wang; Jinhua Yin; Huili Wang; Lizhi He; Shuai Yang; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)

MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems. - Peiru Yang; Jinhua Yin; Haoran Zheng; Xueying Bai; Huili Wang; Yufei Sun; Xintian Li; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)

Enhancing Watermarking Quality for LLMs via Contextual Generation States Awareness. - Peiru Yang; Xintian Li; Wanchun Ni; Jinhua Yin; Huili Wang; Guoshun Nan; Shangguang Wang; Yongfeng Huang 001; Tao Qi (CoRR, 2025)

Learning Human Feedback from Large Language Models for Content Quality-aware Recommendation. - Huili Wang; Chuhan Wu; Yongfeng Huang 001; Tao Qi (ACM Trans. Inf. Syst., 2025)