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2020 – today
- 2023
[j21]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)- [c99]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. WSDM 2023: 393-401 - [c98]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. WWW 2023: 3766-3774 - [i74]Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, Lizhen Cui:
A Survey on Federated Recommendation Systems. CoRR abs/2301.00767 (2023) - [i73]Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen:
GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition. CoRR abs/2302.06079 (2023) - [i72]Yueqi Xie, Jingqi Gao, Peilin Zhou, Qichen Ye, Yining Hua, Jaeboum Kim, Fangzhao Wu, Sunghun Kim:
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems. CoRR abs/2302.14532 (2023) - [i71]Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu:
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias. CoRR abs/2303.01504 (2023) - [i70]Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha:
DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. CoRR abs/2303.08403 (2023) - [i69]Jiawei Shao, Fangzhao Wu, Jun Zhang:
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher. CoRR abs/2304.01731 (2023) - [i68]Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie:
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark. CoRR abs/2305.10036 (2023) - 2022
- [j20]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) - [c97]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. AAAI 2022: 10758-10766 - [c96]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 - [c95]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 - [c94]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. ECCV (30) 2022: 691-707 - [c93]Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. EMNLP (Findings) 2022: 2933-2938 - [c92]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. EMNLP 2022: 3035-3046 - [c91]Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu:
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation. EMNLP 2022: 5478-5489 - [c90]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? IJCAI 2022: 2509-2515 - [c89]Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan:
Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. KDD 2022: 2721-2731 - [c88]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. KDD 2022: 3398-3406 - [c87]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 - [c86]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie:
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c85]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. NeurIPS 2022 - [c84]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 - [c83]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 - [c82]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. SIGIR 2022: 1917-1921 - [c81]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. SIGIR 2022: 1974-1978 - [c80]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
UserBERT: Pre-training User Model with Contrastive Self-supervision. SIGIR 2022: 2087-2092 - [c79]Chuhan Wu, Fangzhao Wu, Tao Qi, Chenliang Li, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? SIGIR 2022: 2382-2386 - [c78]Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu:
MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation. SIGIR 2022: 2560-2564 - [c77]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 - [i67]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) - [i66]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) - [i65]Jingwei Yi, Fangzhao Wu, Bin Zhu, Yang Yu, Chao Zhang, Guangzhong Sun, Xing Xie:
UA-FedRec: Untargeted Attack on Federated News Recommendation. CoRR abs/2202.06701 (2022) - [i64]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie:
No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices. CoRR abs/2202.08036 (2022) - [i63]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) - [i62]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i61]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i60]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i59]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i58]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i57]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i56]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) - [i55]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i54]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i53]Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie:
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR abs/2204.08146 (2022) - [i52]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i51]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) - [i50]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) - [i49]Mengyan Zhang, Thanh Nguyen-Tang, Fangzhao Wu, Zhenyu He, Xing Xie, Cheng Soon Ong:
Two-Stage Neural Contextual Bandits for Personalised News Recommendation. CoRR abs/2206.14648 (2022) - [i48]Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha:
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation. CoRR abs/2207.09158 (2022) - [i47]Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia:
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks. CoRR abs/2209.08773 (2022) - [i46]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie:
Effective and Efficient Query-aware Snippet Extraction for Web Search. CoRR abs/2210.08809 (2022) - [i45]Wei Yuan, Hongzhi Yin, Fangzhao Wu, Shijie Zhang, Tieke He, Hao Wang:
Federated Unlearning for On-Device Recommendation. CoRR abs/2210.10958 (2022) - [i44]Yueqi Xie, Weizhong Zhang, Renjie Pi, Fangzhao Wu, Qifeng Chen, Xing Xie, Sunghun Kim:
Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization. CoRR abs/2211.05554 (2022) - 2021
- [j19]Hongtao Liu, Wenjun Wang, Qiyao Peng, Nannan Wu, Fangzhao Wu, Pengfei Jiao:
Toward Comprehensive User and Item Representations via Three-tier Attention Network. ACM Trans. Inf. Syst. 39(3): 25:1-25:22 (2021) - [j18]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu:
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3781-3795 (2021) - [c76]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. AAAI 2021: 4462-4469 - [c75]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 - [c74]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. ACL/IJCNLP (Findings) 2021: 4408-4413 - [c73]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 - [c72]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 - [c71]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 - [c70]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. EMNLP (1) 2021: 2814-2824 - [c69]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 - [c68]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation. IJCAI 2021: 1624-1630 - [c67]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. NAACL-HLT 2021: 2059-2068 - [c66]Yu Tian, Yuhao Yang, Xudong Ren, Pengfei Wang, Fangzhao Wu, Qian Wang, Chenliang Li:
Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation. SIGIR 2021: 51-60 - [c65]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. SIGIR 2021: 61-70 - [c64]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. SIGIR 2021: 1652-1656 - [i43]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Negative Feedback. CoRR abs/2101.04328 (2021) - [i42]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) - [i41]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FeedRec: News Feed Recommendation with Various User Feedbacks. CoRR abs/2102.04903 (2021) - [i40]Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, Xing Xie:
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation. CoRR abs/2102.04925 (2021) - [i39]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Qifei Li, Guangzhong Sun, Xing Xie:
DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation. CoRR abs/2104.07360 (2021) - [i38]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) - [i37]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
MM-Rec: Multimodal News Recommendation. CoRR abs/2104.07407 (2021) - [i36]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Empowering News Recommendation with Pre-trained Language Models. CoRR abs/2104.07413 (2021) - [i35]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
Personalized News Recommendation with Knowledge-aware Interactive Matching. CoRR abs/2104.10083 (2021) - [i34]Lingjuan Lyu, Xuanli He, Fangzhao Wu, Lichao Sun:
Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs. CoRR abs/2105.10909 (2021) - [i33]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Rethinking InfoNCE: How Many Negative Samples Do You Need? CoRR abs/2105.13003 (2021) - [i32]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers. CoRR abs/2106.01023 (2021) - [i31]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) - [i30]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) - [i29]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) - [i28]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning. CoRR abs/2106.06258 (2021) - [i27]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
Personalized News Recommendation: A Survey. CoRR abs/2106.08934 (2021) - [i26]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Is News Recommendation a Sequential Recommendation Task? CoRR abs/2108.08984 (2021) - [i25]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Fastformer: Additive Attention Can Be All You Need. CoRR abs/2108.09084 (2021) - [i24]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) - [i23]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) - [i22]Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Xing Xie:
UserBERT: Contrastive User Model Pre-training. CoRR abs/2109.01274 (2021) - [i21]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) - [i20]Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie:
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation. CoRR abs/2109.05446 (2021) - [i19]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) - [i18]Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang:
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark. CoRR abs/2112.02701 (2021) - 2020
- [j17]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
Neural news recommendation with negative feedback. CCF Trans. Pervasive Comput. Interact. 2(3): 178-188 (2020) - [j16]Hongtao Liu, Yian Wang, Qiyao Peng, Fangzhao Wu, Lin Gan, Lin Pan, Pengfei Jiao:
Hybrid neural recommendation with joint deep representation learning of ratings and reviews. Neurocomputing 374: 77-85 (2020) - [j15]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) - [c63]Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie:
Fine-grained Interest Matching for Neural News Recommendation. ACL 2020: 836-845 - [c62]Chuhan Wu, Fangzhao Wu, Tao Qi, Xiaohui Cui, Yongfeng Huang:
Attentive Pooling with Learnable Norms for Text Representation. ACL 2020: 2961-2970 - [c61]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 - [c60]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Named Entity Recognition with Context-Aware Dictionary Knowledge. CNCL 2020: 129-143 - [c59]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Clickbait Detection with Style-Aware Title Modeling and Co-attention. CNCL 2020: 430-443 - [c58]Sixing Wu, Fang Chen, Fangzhao Wu, Yongfeng Huang, Xing Li:
A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction. ECAI 2020: 2212-2219 - [c57]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Learning. EMNLP (Findings) 2020: 1423-1432 - [c56]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 - [c55]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
User Modeling with Click Preference and Reading Satisfaction for News Recommendation. IJCAI 2020: 3023-3029 - [c54]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
SentiRec: Sentiment Diversity-aware Neural News Recommendation. AACL/IJCNLP 2020: 44-53 - [c53]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. WWW 2020: 2863-2869 - [i17]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) - [i16]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Privacy-Preserving News Recommendation Model Training via Federated Learning. CoRR abs/2003.09592 (2020) - [i15]Suyu Ge, Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Graph Enhanced Representation Learning for News Recommendation. CoRR abs/2003.14292 (2020) - [i14]Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. CoRR abs/2006.16742 (2020) - [i13]