黄永峰 - 清华大学 - 电子工程系

个人简介

Huang Yongfeng is a doctor, professor, doctoral supervisor, outstanding teacher of the first national network security, deputy director of the Institute of Information Cognition and Intelligent Systems, and a special lecture professor in Minjiang. He is also an IEEE Senior Member, Vice Chairman of ACM SIGWEB China Branch, Vice Chairman of the Artificial Intelligence and Education Committee of the China High-Tech Association, and a member of the China Information Hiding and Multimedia Security Professional Committee. For many years, he has been engaged in the research and teaching of Internet and its information security theory and technology. He has taken charge of the key projects and general projects of the National Natural Science Foundation of China, National Program on Key Basic Research Project of China (973 Program), National High-tech R&D Program of China (863 Program), and more than forty scientific research projects such as key research and development projects. He has served on the editorial board of many internationally renowned journals, as well as the program committee or chairman of important international conferences.He has published more than three hundred academic papers in famous domestic and foreign journals such as Science (Eletters), Nature SR, IEEE Tran. ACM Tran., Science in China, and important international conferences such as AAAI and ACL . He has published six monographs, two translations, and two textbooks. He has applied for more than twenty invention patents (eleven of them have been authorized and two technology transfers). He has won two first prizes, three second prizes of provincial and ministerial scientific and technological achievement awards, one first prize of excellent textbooks, and two teaching achievement awards of Tsinghua University.

研究领域

Network Data Security and Emotional Cognitive Computing of Web Text

近期论文

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Monographs 黄永峰，《IP网络多媒体通信技术》，人民邮电出版社，2003.1 黄永峰，《因特网语音通信技术》，人民邮电出版社，2001,12（863高技术丛书）黄永峰，厥勇等,《 Windows/Linux/UNIX综合组网技术》，清华大学出版社，2002.9 李星，黄永峰，《高速计算机互联网络》，人民邮电出版社，2005.6（“十五”国家重点图书出版规划项目）王欣靖，李星，黄永峰，《网络新技术点评》，人民邮电出版社, 2003,12 黄永峰，李星，《计算机网络教程》，清华大学出版社，2006.2(清华大学信息技术学院系列教材）黄永峰，邓泽，《Data & Voice Network》,人民邮电出版社, 2002.10 黄永峰，周可，《Route and switch》,人民邮电出版社, 2004.3 黄永峰、赵建庆编著，SIP协议及其应用，人民邮电出版社，2009.1 Papers Yang, J., Yang, Z., Ge, X., Zou, J., Gao, Y., & Huang, Y. (2023, June). LINK: Linguistic Steganalysis Framework with External Knowledge. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE. Qi, T., Wu, F., Lyu, L., Huang, Y., & Xie, X. (2023). FedSampling: A Better Sampling Strategy for Federated Learning. arXiv preprint arXiv:2306.14245. Qi, T., Wu, F., Wu, C., He, L., Huang, Y., & Xie, X. (2023). Differentially private knowledge transfer for federated learning. Nature Communications, 14(1), 3785. Wang, H., Yang, Z., Yang, J., Chen, C., & Huang, Y. (2023). Linguistic Steganalysis in Few-Shot Scenario. IEEE Transactions on Information Forensics and Security. Tu, H., Yang, Z., Yang, J., Zhou, L., & Huang, Y. (2023). FET-LM: Flow-Enhanced Variational Autoencoder for Topic-Guided Language Modeling. IEEE Transactions on Neural Networks and Learning Systems. Wu, C., Wu, F., Huang, Y., & Xie, X. (2023). Personalized news recommendation: Methods and challenges. ACM Transactions on Information Systems, 41(1), 1-50. Yubo Chen, Yunqi Zhang, and Yongfeng Huang. 2022. Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph. In Findings of the Association for Computational Linguistics: ACL 2022, pages 1638–1647, Dublin, Ireland. Association for Computational Linguistics. Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie: ProFairRec: Provider Fairness-aware News Recommendation. SIGIR 2022. Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang: News Recommendation with Candidate-aware User Modeling. SIGIR 2022. Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang: FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022. Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better. ACL 2022: 680-685 Chuhan Wu, Fangzhao Wu, Yongfeng Huang: Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022: 2509-2515 Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang: UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang: Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu: MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 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 Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie: FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling. KDD 2022 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 Xuanmei Qin, Yongfeng Huang, Zhen Yang, Xing Li. A Blockchain-based access control scheme with multiple attribute authorities for secure cloud data sharing. Journal of Systems Architecture,Vol. 112, 101854, 2021. (CCF B, 二区) Xuanmei Qin, Yongfeng Huang, Zhen Yang, Xing Li. LBAC: A lightweight blockchain-based access control scheme for the internet of things. Information Sciences, Vol. 554, pp. 222-235, 2021. (CCF B, 一区) Zhongliang Yang, Hao Yang, Ching-Chun Chang, Yongfeng Huang, Chin-Chen Chang, Real-time steganalysis for streaming media based on multi-channel convolutional sliding windows, Knowledge-Based Systems, Vol. 237, 107561, 2022. (CCF C, 一区) Zhongliang Yang; Lingyun Xiang; Siyu Zhang; Xingming Sun; Yongfeng Huang, “Linguistic Generative Steganography With Enhanced Cognitive-Imperceptibility,” in IEEE Signal Processing Letters, vol. 28, pp. 409-413, 2021. (CCF C, 二区) Jinshuai Yang; Zhongliang Yang; Siyu Zhang; Haoqin Tu; Yongfeng Huang, “SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features,” in IEEE Signal Processing Letters, vol. 29, pp. 31-35, 2022. (CCF C, 二区) Yubo Chen, Chuhan Wu, Yongfeng Huang. Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. Neurocomputing, Vol. 467, pp. 282-291, 2022. (CCF C, 二区) 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, Journal of Biomedical Informatics, Vol. 120, 103834, 2021. (CCF C, 三区) Fang Chen, Ziwei Shi, Zhongliang Yang, Yongfeng Huang. Recurrent synchronization network for emotion-cause pair extraction. Knowledge-Based Systems, Vol. 238, 2022, 107965. (CCF C, 一区) EI Zhongliang Yang, Jin He, Siyu Zhang, Jinshuai Yang, Yongfeng Huang. TStego-THU: Large-Scale Text Steganalysis Dataset. ICAIS 2021, vol 1424. Siyu Zhang, Zhongliang Yang, Jinshuai Yang, Yongfeng Huang. Provably Secure Generative Linguistic Steganography. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 3046–3055, August 1–6, 2021. (CCF A) Huili Wang, Zhongliang Yang, Yuting Hu, Zhen Yang, and Yongfeng Huang. 2021. Fast Detection of Heterogeneous Parallel Steganography for Streaming Voice. In Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec ‘21). Association for Computing Machinery, New York, NY, USA, 137–142, 2021. (CCF C) Yubo Chen, Yunqi Zhang, Changran Hu, and Yongfeng Huang. 2021. Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2021), pp. 5694–5703, 2021. (CCF C) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang. Personalized News Recommendation with Knowledge-aware Interactive Matching. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), 2021. (CCF A) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang. 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, pp. 5457–5467, August 1–6, 2021. (CCF A) Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang. 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 (ACL-IJCNLP 2021), pp. 5446–5456, 2021. (CCF A) Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, and Xing Xie. 2021. Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving. In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 1438–1448. (CCF B) Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang. 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 (ACL-IJCNLP 2021), pp. 848–853, 2021. (CCF A) Chuhan Wu, Fangzhao Wu, Yongfeng Huang. One Teacher is Enough? Language Model Distillation from Multiple Teachers. Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 4408–4413,August 1–6, 2021. (CCF A) Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie. User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI 2021), pp. 1624-1630, 2021. (CCF A) Chuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang. 2021. Empowering News Recommendation with Pre-trained Language Models. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ‘21), pp. 1652–1656, 2021. (CCF A) Chuhan Wu, Fangzhao Wu, Yongfeng Huang. DA-Transformer: Distance-aware Transformer. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021 ), pp. 2059–2068,June 6–11, 2021. (CCF C) Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie. Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021, 2021. (CCF A) Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, and Qi Liu. 2021. NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application. In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 3285–3295, 2021. (CCF B)