2025
Federated deep reinforcement learning-based cost-efficient proactive video caching in energy-constrained mobile edge networks.
Comput. Networks, 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
Measuring Human Contribution in AI-Assisted Content Generation.
CoRR, 2024
LICM: Effective and Efficient Long Interest Chain Modeling for News Recommendation.
CoRR, 2024
Adaptive and robust watermark against model extraction attack.
CoRR, 2024
Towards the Robustness of Differentially Private Federated Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
FedAGCN: A traffic flow prediction framework based on federated learning and Asynchronous Graph Convolutional Network.
Appl. Soft Comput., May, 2023
Semi-supervised named entity recognition in multi-level contexts.
Neurocomputing, 2023
Static vulnerability mining of IoT devices based on control flow graph construction and graph embedding network.
Comput. Commun., 2023
FedSampling: A Better Sampling Strategy for Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
2022
Learning target-aware background-suppressed correlation filters with dual regression for real-time UAV tracking.
Signal Process., 2022
Retrieval of Live Fuel Moisture Content Based on Multi-Source Remote Sensing Data and Ensemble Deep Learning Model.
Remote. Sens., 2022
ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction.
IEEE Internet Things J., 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
CoRR, 2022
Robust Quantity-Aware Aggregation for Federated Learning.
CoRR, 2022
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation.
CoRR, 2022
Unified and Effective Ensemble Knowledge Distillation.
CoRR, 2022
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation.
CoRR, 2022
End-to-end Learnable Diversity-aware News Recommendation.
CoRR, 2022
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder.
CoRR, 2022
Are Big Recommendation Models Fair to Cold Users?
CoRR, 2022
Quality-aware News Recommendation.
CoRR, 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
CoRR, 2022
Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction.
CoRR, 2022
Traffic flow prediction using multi-view graph convolution and masked attention mechanism.
Comput. Commun., 2022
FeedRec: News Feed Recommendation with Various User Feedbacks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Is News Recommendation a Sequential Recommendation Task?
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
UserBERT: Pre-training User Model with Contrastive Self-supervision.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
ProFairRec: Provider Fairness-aware News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
FUM: Fine-grained and Fast User Modeling for News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
News Recommendation with Candidate-aware User Modeling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022
2021
Firmware code instrumentation technology for internet of things-based services.
World Wide Web, 2021
Real-Time Learning and Recognition of Assembly Activities Based on Virtual Reality Demonstration.
Sensors, 2021
An Improved Feature Extraction Approach for Web Anomaly Detection Based on Semantic Structure.
Secur. Commun. Networks, 2021
KeMRE: Knowledge-enhanced medical relation extraction for Chinese medicine instructions.
J. Biomed. Informatics, 2021
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation.
CoRR, 2021
UserBERT: Contrastive User Model Pre-training.
CoRR, 2021
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer.
CoRR, 2021
Fastformer: Additive Attention Can Be All You Need.
CoRR, 2021
Is News Recommendation a Sequential Recommendation Task?
CoRR, 2021
MM-Rec: Multimodal News Recommendation.
CoRR, 2021
FeedRec: News Feed Recommendation with Various User Feedbacks.
CoRR, 2021
A Broadband Ultra-Thin Polarization Rotator Using Periodically Loaded Parallel Strip-Lines.
IEEE Access, 2021
Empowering News Recommendation with Pre-trained Language Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Personalized News Recommendation with Knowledge-aware Interactive Matching.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
From Human Oral Instructions to General Representations of Knowledge: A New Paradigm for Industrial Robots Skill Teaching.
Proceedings of the Cognitive Systems and Information Processing, 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Detecting Entities of Works for Chinese Chatbot.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020
Improving Attention Mechanism with Query-Value Interaction.
CoRR, 2020
Privacy-Preserving News Recommendation Model Training via Federated Learning.
CoRR, 2020
FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning.
CoRR, 2020
An Attention-Based User Preference Matching Network for Recommender System.
IEEE Access, 2020
Graph Enhanced Representation Learning for News Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
SentiRec: Sentiment Diversity-aware Neural News Recommendation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
Named Entity Recognition in Multi-level Contexts.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020
User Modeling with Click Preference and Reading Satisfaction for News Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Privacy-Preserving News Recommendation Model Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Clickbait Detection with Style-Aware Title Modeling and Co-attention.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020
Named Entity Recognition with Context-Aware Dictionary Knowledge.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020
Attentive Pooling with Learnable Norms for Text Representation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
MIND: A Large-scale Dataset for News Recommendation.
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Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Helpfulness-aware review based neural recommendation.
CCF Trans. Pervasive Comput. Interact., 2019
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural News Recommendation with Multi-Head Self-Attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural News Recommendation with Heterogeneous User Behavior.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Neural Gender Prediction from News Browsing Data.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Title-Aware Neural News Topic Prediction.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019
Neural Gender Prediction in Microblogging with Emotion-aware User Representation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019
2018
An anonymous authentication mechanism based on Kerberos and HIBC.
Proceedings of the 10th International Conference on Education Technology and Computers, 2018
2016
Research on automated testing framework for multi-platform mobile applications.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016
2015
On-Demand Self-Adaptivity of Service Availability for Cloud Multi-tier Applications.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
SEPPA 2.0 - more refined server to predict spatial epitope considering species of immune host and subcellular localization of protein antigen.
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Nucleic Acids Res., 2014
2013
Rayleigh noise suppression with cascaded RSOAs in WDM-PON system.
Proceedings of the 22nd Wireless and Optical Communication Conference, 2013
Tolerant-scheduling with channel switch latency consideration for hybrid WDM/TDM PON.
Proceedings of the 17th International Conference on Optical Networking Design and Modeling, 2013
An Android dynamic data protection model based on light virtualization.
Proceedings of the 15th IEEE International Conference on Communication Technology, 2013