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Tao Qi
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2020 – today
- 2024
- [c47]Tao Qi, Huili Wang, Yongfeng Huang:
Towards the Robustness of Differentially Private Federated Learning. AAAI 2024: 19911-19919 - [i37]Kaiyi Pang, Tao Qi, Chuhan Wu, Minhao Bai:
Adaptive and robust watermark against model extraction attack. CoRR abs/2405.02365 (2024) - 2023
- [j16]Tao Qi
, Lingqiang Chen
, Guanghui Li, Yijing Li, Chenshu Wang:
FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network. Appl. Soft Comput. 138: 110175 (2023) - [j15]Yuan Cheng, Baojiang Cui, Chen Chen, Thar Baker
, Tao Qi:
Static vulnerability mining of IoT devices based on control flow graph construction and graph embedding network. Comput. Commun. 197: 267-275 (2023) - [j14]Yubo Chen
, Chuhan Wu, Tao Qi, Zhigang Yuan, Yuesong Zhang, Shuai Yang, Jian Guan
, Donghong Sun, Yongfeng Huang:
Semi-supervised named entity recognition in multi-level contexts. Neurocomputing 520: 194-204 (2023) - [c46]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023: 4154-4162 - [i36]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR abs/2306.14245 (2023) - 2022
- [j13]Lingqiang Chen
, Pei Shi, Guanghui Li, Tao Qi:
Traffic flow prediction using multi-view graph convolution and masked attention mechanism. Comput. Commun. 194: 446-457 (2022) - [j12]Tao Qi
, Guanghui Li
, Lingqiang Chen
, Yanming Xue
:
ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction. IEEE Internet Things J. 9(5): 4001-4014 (2022) - [j11]Jiang-jian Xie
, Tao Qi, Wanjun Hu, Huaguo Huang
, Beibei Chen, Junguo Zhang
:
Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model. Remote. Sens. 14(17): 4378 (2022) - [j10]Fei Zhang
, Shiping Ma, Zhuling Qiu, Tao Qi:
Learning target-aware background-suppressed correlation filters with dual regression for real-time UAV tracking. Signal Process. 191: 108352 (2022) - [c45]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL (2) 2022: 680-685 - [c44]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. ACL (Findings) 2022: 3474-3480 - [c43]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022: 4164-4172 - [c42]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. NeurIPS 2022 - [c41]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022: 1164-1173 - [c40]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. SIGIR 2022: 1917-1921 - [c39]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022: 1974-1978 - [c38]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 - [c37]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c36]Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang
, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 - [c35]Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie:
FeedRec: News Feed Recommendation with Various User Feedbacks. WWW 2022: 2088-2097 - [i35]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. CoRR abs/2202.04975 (2022) - [i34]Chuhan Wu, Fangzhao Wu, Tao Qi, Yanlin Wang, Yuqing Yang, Yongfeng Huang, Xing Xie:
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction. CoRR abs/2202.05139 (2022) - [i33]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. CoRR abs/2202.12024 (2022) - [i32]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i31]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i30]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i29]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i28]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i27]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i26]Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
ProFairRec: Provider Fairness-aware News Recommendation. CoRR abs/2204.04724 (2022) - [i25]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i24]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i23]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i22]Jingwei Yi, Fangzhao Wu, Huishuai Zhang, Bin Zhu, Tao Qi, Guangzhong Sun, Xing Xie:
Robust Quantity-Aware Aggregation for Federated Learning. CoRR abs/2205.10848 (2022) - [i21]Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Zhongliang Yang, Yongfeng Huang, Xing Xie:
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning. CoRR abs/2206.03200 (2022) - 2021
- [j9]Xiaoming Liu
, Tao Qi, Chen Wang, Xiaofan Yang, Lu Gan, Qing Cai:
A Broadband Ultra-Thin Polarization Rotator Using Periodically Loaded Parallel Strip-Lines. IEEE Access 9: 25450-25457 (2021) - [j8]Tao Qi, Shan Qiu, Xiaoqian Shen
, Haopu Chen, Shuai Yang, Hao Wen
, Ya Zhang
, Yuanqing Wu, Yongfeng Huang
:
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions. J. Biomed. Informatics 120: 103834 (2021) - [j7]Zishuai Cheng
, Baojiang Cui
, Tao Qi
, Wenchuan Yang
, Junsong Fu
:
An Improved Feature Extraction Approach for Web Anomaly Detection Based on Semantic Structure. Secur. Commun. Networks 2021: 6661124:1-6661124:11 (2021) - [j6]Ning Zhang
, Tao Qi, Yongjia Zhao
:
Real-Time Learning and Recognition of Assembly Activities Based on Virtual Reality Demonstration. Sensors 21(18): 6201 (2021) - [j5]Chen Chen
, Jinxin Ma, Tao Qi, Baojiang Cui, Weikong Qi, Zhaolei Zhang, Peng Sun:
Firmware code instrumentation technology for internet of things-based services. World Wide Web 24(3): 941-954 (2021) - [c34]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. ACL/IJCNLP (2) 2021: 848-853 - [c33]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. ACL/IJCNLP (1) 2021: 5446-5456 - [c32]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. ACL/IJCNLP (1) 2021: 5457-5467 - [c31]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. EMNLP (Findings) 2021: 1438-1448 - [c30]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. EMNLP (Findings) 2021: 3285-3295 - [c29]Shiyu Chen, Yongjia Zhao, Xiaoyong Lei, Tao Qi, Kan Liu:
From Human Oral Instructions to General Representations of Knowledge: A New Paradigm for Industrial Robots Skill Teaching. ICCSIP 2021: 374-388 - [c28]Tao Qi, Fangzhao Wu
, Chuhan Wu
, Yongfeng Huang
:
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021: 61-70 - [c27]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
:
Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021: 1652-1656 - [i20]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu:
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. CoRR abs/2102.04887 (2021) - [i19]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR abs/2102.04903 (2021) - [i18]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. CoRR abs/2104.07404 (2021) - [i17]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. CoRR abs/2104.07407 (2021) - [i16]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. CoRR abs/2104.07413 (2021) - [i15]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR abs/2104.10083 (2021) - [i14]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling. CoRR abs/2106.01040 (2021) - [i13]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity. CoRR abs/2106.01300 (2021) - [i12]Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang:
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation. CoRR abs/2106.04408 (2021) - [i11]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? CoRR abs/2108.08984 (2021) - [i10]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i9]Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR abs/2108.09193 (2021) - [i8]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. CoRR abs/2109.01274 (2021) - [i7]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. CoRR abs/2109.05236 (2021) - [i6]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu:
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation. CoRR abs/2112.00944 (2021) - 2020
- [j4]Yuchen Liu
, Tan Yang
, Tao Qi:
An Attention-Based User Preference Matching Network for Recommender System. IEEE Access 8: 41100-41107 (2020) - [j3]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Junxin Liu, Yongfeng Huang
, Xing Xie
:
Detecting Entities of Works for Chinese Chatbot. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(6): 88:1-88:13 (2020) - [c26]Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang:
Attentive Pooling with Learnable Norms for Text Representation. ACL 2020: 2961-2970 - [c25]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c24]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
:
Named Entity Recognition with Context-Aware Dictionary Knowledge. CNCL 2020: 129-143 - [c23]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
:
Clickbait Detection with Style-Aware Title Modeling and Co-attention. CNCL 2020: 430-443 - [c22]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) 2020: 1423-1432 - [c21]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) 2020: 1939-1944 - [c20]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI 2020: 3023-3029 - [c19]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
SentiRec: Sentiment Diversity-aware Neural News Recommendation. AACL/IJCNLP 2020: 44-53 - [c18]Yubo Chen, Chuhan Wu, Tao Qi, Zhigang Yuan, Yongfeng Huang:
Named Entity Recognition in Multi-level Contexts. AACL/IJCNLP 2020: 181-190 - [c17]Suyu Ge, Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
:
Graph Enhanced Representation Learning for News Recommendation. WWW 2020: 2863-2869 - [i5]Suyu Ge, Fangzhao Wu, Chuhan Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning. CoRR abs/2003.09288 (2020) - [i4]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR abs/2003.09592 (2020) - [i3]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. CoRR abs/2003.14292 (2020) - [i2]Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie:
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR abs/2010.01494 (2020) - [i1]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Improving Attention Mechanism with Query-Value Interaction. CoRR abs/2010.03766 (2020)
2010 – 2019
- 2019
- [j2]Suyu Ge, Tao Qi, Chuhan Wu
, Fangzhao Wu
, Xing Xie, Yongfeng Huang
:
Helpfulness-aware review based neural recommendation. CCF Trans. Pervasive Comput. Interact. 1(4): 285-295 (2019) - [c16]Tao Qi, Chuhan Wu
, Fangzhao Wu
, Suyu Ge, Junxin Liu, Yongfeng Huang
, Xing Xie
:
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention. CCKS 2019: 98-110 - [c15]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Junxin Liu, Yongfeng Huang
, Xing Xie
:
Neural Gender Prediction in Microblogging with Emotion-aware User Representation. CIKM 2019: 2401-2404 - [c14]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
, Xing Xie
:
Title-Aware Neural News Topic Prediction. CCL 2019: 181-193 - [c13]Chuhan Wu
, Fangzhao Wu
, Tao Qi, Yongfeng Huang
, Xing Xie
:
Neural Gender Prediction from News Browsing Data. CCL 2019: 664-676 - [c12]Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Heterogeneous User Behavior. EMNLP/IJCNLP (1) 2019: 4873-4882 - [c11]Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie:
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. EMNLP/IJCNLP (1) 2019: 4883-4892 - [c10]Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Multi-Head Self-Attention. EMNLP/IJCNLP (1) 2019: 6388-6393 - [c9]Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang:
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN. SemEval@NAACL-HLT 2019: 340-344 - [c8]Tao Qi, Suyu Ge, Chuhan Wu, Yubo Chen, Yongfeng Huang:
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers. SemEval@NAACL-HLT 2019: 1302-1307 - [c7]Suyu Ge, Tao Qi, Chuhan Wu, Yongfeng Huang:
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention. SMM4H@ACL 2019: 96-98 - 2018
- [c6]Linna Fan
, Xiaofeng Song, Weiwei Zhao, Haodan Ran, Jingzhi Li, Deyang Shi, Suining Mu, Tao Qi:
An anonymous authentication mechanism based on Kerberos and HIBC. ICETC 2018: 392-396 - 2016
- [c5]Da Zun, Tao Qi, Liping Chen:
Research on automated testing framework for multi-platform mobile applications. CCIS 2016: 82-87 - 2015
- [c4]Jin Yang, Jianmin Pang, Ning Qi, Tao Qi:
On-Demand Self-Adaptivity of Service Availability for Cloud Multi-tier Applications. CCGRID 2015: 1237-1240 - 2014
- [j1]Tao Qi, Tianyi Qiu, Qingchen Zhang, Kailin Tang
, Yangyang Fan, Jingxuan Qiu, Dingfeng Wu, Wei Zhang, Yanan Chen, Jun Gao, Ruixin Zhu
, Zhiwei Cao:
SEPPA 2.0 - more refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen. Nucleic Acids Res. 42(Webserver-Issue): 59-63 (2014) - 2013
- [c3]Qingqing Sun, Tao Qi, Tan Yang, Yidong Cui:
An Android dynamic data protection model based on light virtualization. ICCT 2013: 65-69 - [c2]Zhao Zhou, Shilin Xiao, Meihua Bi, Min Zhu, Pingqing Li, Tao Qi, Weisheng Hu:
Tolerant-scheduling with channel switch latency consideration for hybrid WDM/TDM PON. ONDM 2013: 293-297 - [c1]Hanlin Feng, Shilin Xiao, Lilin Yi, Zhao Zhou, Tao Qi, Weisheng Hu:
Rayleigh noise suppression with cascaded RSOAs in WDM-PON system. WOCC 2013: 560-563
Coauthor Index
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