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ORCIDYongfeng Huang 0001
Person information
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yongfeng Huang (aka: YongFeng Huang) — disambiguation page
- Yongfeng Huang 0002
![[0000-0002-5190-9535]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-5190-9535")
— Jiangsu University of Technology, Changzhou, China
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2020 – today
- 2023
[j95]Yining Qi, Yubo Luo, Yongfeng Huang, Xing Li:
Blockchain-based Privacy-Preserving Group Data Auditing with Secure User Revocation. Comput. Syst. Sci. Eng. 45(1): 183-199 (2023)- [j94]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) - [j93]Wenlong Tian, Qi Liu, Ruixuan Li, Zhiyong Xu, Yan Zhang, Yongfeng Huang:
A Blockchain-Based Secure Searching Strategy for Metadata in Mobile Edge Computing. IEEE Internet Things J. 10(22): 19795-19809 (2023) - [j92]Miao Wei, Songbin Li, Peng Liu, Yongfeng Huang, Qiandong Yan, Jingang Wang, Cheng Zhang:
Frame-level steganalysis of QIM steganography in compressed speech based on multi-dimensional perspective of codeword correlations. J. Ambient Intell. Humaniz. Comput. 14(7): 8421-8431 (2023) - [j91]Jinshuai Yang, Zhongliang Yang, Jiajun Zou, Haoqin Tu, Yongfeng Huang:
Linguistic Steganalysis Toward Social Network. IEEE Trans. Inf. Forensics Secur. 18: 859-871 (2023) - [j90]Huili Wang, Zhongliang Yang, Jinshuai Yang, Cheng Chen, Yongfeng Huang:
Linguistic Steganalysis in Few-Shot Scenario. IEEE Trans. Inf. Forensics Secur. 18: 4870-4882 (2023) - [j89]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Personalized News Recommendation: Methods and Challenges. ACM Trans. Inf. Syst. 41(1): 24:1-24:50 (2023) - [c145]Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Yongfeng Huang, Ruyi Gan, Jiaxing Zhang, Yujiu Yang:
Solving Math Word Problems via Cooperative Reasoning induced Language Models. ACL (1) 2023: 4471-4485 - [c144]Yongfeng Huang, Yanyang Li, Yichong Xu, Lin Zhang, Ruyi Gan, Jiaxing Zhang, Liwei Wang:
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning. ACL (1) 2023: 13417-13432 - [c143]Yongfeng Huang, Xin Chen, Lin Zhang:
Specializing Small Language Models Towards Complex Style Transfer via Latent Attribute Pre-Training. ECAI 2023: 2802-2809 - [c142]Jinshuai Yang, Zhongliang Yang, Xinrui Ge, Jiajun Zou, Yue Gao, Yongfeng Huang:
LINK: Linguistic Steganalysis Framework with External Knowledge. ICASSP 2023: 1-5 - [c141]Huili Wang, Zhongliang Yang, Jinshuai Yang, Yue Gao, Yongfeng Huang:
Hi-Stega: A Hierarchical Linguistic Steganography Framework Combining Retrieval and Generation. ICONIP (5) 2023: 41-54 - [c140]Kaiyi Pang, Jinshuai Yang, Yue Gao, Minhao Bai, Zhongliang Yang, Minghu Jiang, Yongfeng Huang:
CATS: Connection-Aware and Interaction-Based Text Steganalysis in Social Networks. ICONIP (5) 2023: 109-121 - [c139]Cheng Chen, Jinshuai Yang, Yue Gao, Huili Wang, Yongfeng Huang:
Minimizing Distortion in Steganography via Adaptive Language Model Tuning. ICONIP (12) 2023: 571-584 - [c138]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. IJCAI 2023: 4154-4162 - [i76]Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedSampling: A Better Sampling Strategy for Federated Learning. CoRR abs/2306.14245 (2023) - [i75]Yanyang Li, Jianqiao Zhao, Duo Zheng, Zi-Yuan Hu, Zhi Chen, Xiaohui Su, Yongfeng Huang, Shijia Huang, Dahua Lin, Michael R. Lyu, Liwei Wang:
CLEVA: Chinese Language Models EVAluation Platform. CoRR abs/2308.04813 (2023) - [i74]Ruiqi Xu, Yongfeng Huang, Xin Chen, Lin Zhang:
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training. CoRR abs/2309.10929 (2023) - 2022
- [j88]Yubo Chen, Chuhan Wu, Yongfeng Huang:
Enhancing structure modeling for relation extraction with fine-grained gating and co-attention. Neurocomputing 467: 282-291 (2022) - [j87]Fang Chen, Zhongliang Yang, Yongfeng Huang:
A multi-task learning framework for end-to-end aspect sentiment triplet extraction. Neurocomputing 479: 12-21 (2022) - [j86]Xu Wang, Liyao Li, Ching-Chun Chang, Yongfeng Huang:
Multi-level reversible data hiding for crypto-imagery via a block-wise substitution-transposition cipher. J. Inf. Secur. Appl. 64: 103067 (2022) - [j85]Qi Li, Zhen Yang, Xuanmei Qin, Dehao Tao, Hongyun Pan, Yongfeng Huang:
CBFF: A cloud-blockchain fusion framework ensuring data accountability for multi-cloud environments. J. Syst. Archit. 124: 102436 (2022) - [j84]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. Knowl. Based Syst. 237: 107561 (2022) - [j83]Fang Chen, Ziwei Shi, Zhongliang Yang, Yongfeng Huang:
Recurrent synchronization network for emotion-cause pair extraction. Knowl. Based Syst. 238: 107965 (2022) - [j82]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Siyu Zhang, Yongfeng Huang:
PCAE: A framework of plug-in conditional auto-encoder for controllable text generation. Knowl. Based Syst. 256: 109766 (2022) - [j81]Fufang Li, Binbin Li, Yongfeng Huang, Yuanyong Feng, Lingxi Peng, Naqin Zhou:
Research on covert communication channel based on modulation of common compressed speech codec. Neural Comput. Appl. 34(14): 11507-11520 (2022) - [j80]Jinshuai Yang, Zhongliang Yang, Si-yu Zhang, Haoqin Tu, Yongfeng Huang:
SeSy: Linguistic Steganalysis Framework Integrating Semantic and Syntactic Features. IEEE Signal Process. Lett. 29: 31-35 (2022) - [j79]Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data. ACM Trans. Intell. Syst. Technol. 13(4): 62:1-62:19 (2022) - [c137]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 - [c136]Yubo Chen, Yunqi Zhang, Yongfeng Huang:
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph. ACL (Findings) 2022: 1638-1647 - [c135]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 - [c134]Xuanmei Qin, Zhen Yang, Qi Li, Hongyun Pan, Zhongliang Yang, Yongfeng Huang:
Attribute-based encryption with outsourced computation for access control in IoTs. ASSE 2022: 66-73 - [c133]Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) 2022: 2933-2938 - [c132]Yunqi Zhang, Yubo Chen, Yongfeng Huang:
RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction. EMNLP 2022: 4208-4217 - [c131]Jiajun Zou, Sixing Wu, Zhongliang Yang, Chong Chen, Yizhao Sun, Minghu Jiang, Yongfeng Huang:
Association Extraction and Recognition of Multiple Emotion Expressed in Social Texts. ICAIS (1) 2022: 420-430 - [c130]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022: 2509-2515 - [c129]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 - [c128]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 - [c127]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 - [c126]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. SIGIR 2022: 1917-1921 - [c125]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022: 1974-1978 - [c124]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 - [c123]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c122]Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 - [c121]Zhen Yang, Zihan Xu, Ru Zhang, Yongfeng Huang:
T-GRU: conTextual Gated Recurrent Unit model for high quality Linguistic Steganography. WIFS 2022: 1-6 - [c120]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 - [i73]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) - [i72]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) - [i71]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) - [i70]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i69]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i68]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i67]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i66]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i65]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i64]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) - [i63]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i62]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i61]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i60]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Siyu Zhang, Yongfeng Huang:
AdaVAE: Exploring Adaptive GPT-2s in Variational Auto-Encoders for Language Modeling. CoRR abs/2205.05862 (2022) - [i59]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) - [i58]Junjie Wang, Yuxiang Zhang, Lin Zhang, Ping Yang, Xinyu Gao, Ziwei Wu, Xiaoqun Dong, Junqing He, Jianheng Zhuo, Qi Yang, Yongfeng Huang, Xiayu Li, Yanghan Wu, Junyu Lu, Xinyu Zhu, Weifeng Chen, Ting Han, Kunhao Pan, Rui Wang, Hao Wang, Xiaojun Wu, Zhongshen Zeng, Chongpei Chen, Ruyi Gan, Jiaxing Zhang:
Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence. CoRR abs/2209.02970 (2022) - [i57]Haoqin Tu, Zhongliang Yang, Jinshuai Yang, Siyu Zhang, Yongfeng Huang:
PCAE: A Framework of Plug-in Conditional Auto-Encoder for Controllable Text Generation. CoRR abs/2210.03496 (2022) - 2021
- [j78]Zhen Yang, Yingying Chen, Yongfeng Huang, Xing Li:
Chapter Six - Protecting personal sensitive data security in the cloud with blockchain. Adv. Comput. 120: 195-231 (2021) - [j77]Fufang Li, Han Tang, Yukang Zou, Yongfeng Huang, Feng Yuanyong, Lingxi Peng:
Research on information security in text emotional steganography based on machine learning. Enterp. Inf. Syst. 15(7): 984-1001 (2021) - [j76]Yuting Hu, Yihua Huang, Zhongliang Yang, Yongfeng Huang:
Detection of heterogeneous parallel steganography for low bit-rate VoIP speech streams. Neurocomputing 419: 70-79 (2021) - [j75]Xuanmei Qin, Yongfeng Huang, Zhen Yang, Xing Li:
LBAC: A lightweight blockchain-based access control scheme for the internet of things. Inf. Sci. 554: 222-235 (2021) - [j74]Dehao Tao, Zhen Yang, Xuanmei Qin, Qi Li, Yongfeng Huang, Yubo Luo:
UEPF：A blockchain based Uniform Encoding and Parsing Framework in multi-cloud environments. KSII Trans. Internet Inf. Syst. 15(8): 2849-2864 (2021) - [j73]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) - [j72]Xuanmei Qin, Yongfeng Huang, Zhen Yang, Xing Li:
A Blockchain-based access control scheme with multiple attribute authorities for secure cloud data sharing. J. Syst. Archit. 112: 101854 (2021) - [j71]Kaiye Yu, Zhongliang Yang, Chuhan Wu, Yongfeng Huang, Xiaolei Xie:
In-hospital resource utilization prediction from electronic medical records with deep learning. Knowl. Based Syst. 223: 107052 (2021) - [j70]Zhen Yang, Wenyu Wang, Yongfeng Huang, Xing Li:
A Multi-grained Log Auditing Scheme for Cloud Data Confidentiality. Mob. Networks Appl. 26(2): 842-850 (2021) - [j69]Si-yu Zhang, Zhongliang Yang, Jinshuai Yang, Yongfeng Huang:
Linguistic Steganography: From Symbolic Space to Semantic Space. IEEE Signal Process. Lett. 28: 11-15 (2021) - [j68]Zhongliang Yang, Lingyun Xiang, Si-yu Zhang, Xingming Sun, Yongfeng Huang:
Linguistic Generative Steganography With Enhanced Cognitive-Imperceptibility. IEEE Signal Process. Lett. 28: 409-413 (2021) - [j67]Zhongliang Yang, Si-Yu Zhang, Yuting Hu, Zhiwen Hu, Yongfeng Huang:
VAE-Stega: Linguistic Steganography Based on Variational Auto-Encoder. IEEE Trans. Inf. Forensics Secur. 16: 880-895 (2021) - [c119]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c118]Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. AAAI 2021: 13090-13097 - [c117]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 - [c116]Si-yu Zhang, Zhongliang Yang, Jinshuai Yang, Yongfeng Huang:
Provably Secure Generative Linguistic Steganography. ACL/IJCNLP (Findings) 2021: 3046-3055 - [c115]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) 2021: 4408-4413 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Xun He, Zhen Yang, Yongfeng Huang:
A Vehicle Intrusion Detection System Based on Time Interval and Data Fields. ICAIS (2) 2021: 538-549 - [c109]Huili Wang, Zhongliang Yang, Yuting Hu, Zhen Yang, Yongfeng Huang:
Fast Detection of Heterogeneous Parallel Steganography for Streaming Voice. IH&MMSec 2021: 137-142 - [c108]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021: 1624-1630 - [c107]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. NAACL-HLT 2021: 2059-2068 - [c106]Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang:
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. NAACL-HLT 2021: 5694-5703 - [c105]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021: 61-70 - [c104]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021: 1652-1656 - [i56]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. CoRR abs/2101.04328 (2021) - [i55]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) - [i54]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR abs/2102.04903 (2021) - [i53]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i52]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) - [i51]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. CoRR abs/2104.07407 (2021) - [i50]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. CoRR abs/2104.07413 (2021) - [i49]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR abs/2104.10083 (2021) - [i48]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR abs/2105.13003 (2021) - [i47]Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. CoRR abs/2106.00320 (2021) - [i46]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR abs/2106.01023 (2021) - [i45]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) - [i44]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) - [i43]Si-Yu Zhang, Zhongliang Yang, Jinshuai Yang, Yongfeng Huang:
Provably Secure Generative Linguistic Steganography. CoRR abs/2106.02011 (2021) - [i42]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) - [i41]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR abs/2106.06258 (2021) - [i40]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Personalized News Recommendation: A Survey. CoRR abs/2106.08934 (2021) - [i39]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? CoRR abs/2108.08984 (2021) - [i38]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i37]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) - [i36]Chuhan Wu, Fangzhao Wu, Ruixuan Liu, Lingjuan Lyu, Yongfeng Huang, Xing Xie:
FedKD: Communication Efficient Federated Learning via Knowledge Distillation. CoRR abs/2108.13323 (2021) - [i35]