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2020 – today
- 2022
[c79]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- [c78]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 - [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 - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Quality-aware News Recommendation. CoRR abs/2202.13605 (2022) - [i55]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Are Big Recommendation Models Fair to Cold Users? CoRR abs/2202.13607 (2022) - [i54]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder. CoRR abs/2204.00536 (2022) - [i53]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
End-to-end Learnable Diversity-aware News Recommendation. CoRR abs/2204.00539 (2022) - [i52]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation. CoRR abs/2204.00541 (2022) - [i51]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Unified and Effective Ensemble Knowledge Distillation. CoRR abs/2204.00548 (2022) - [i50]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) - [i49]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
News Recommendation with Candidate-aware User Modeling. CoRR abs/2204.04726 (2022) - [i48]Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang:
FUM: Fine-grained and Fast User Modeling for News Recommendation. CoRR abs/2204.04727 (2022) - [i47]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) - [i46]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation. CoRR abs/2204.09850 (2022) - [i45]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) - [i44]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
- [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]Chuhan Wu, Fangzhao Wu, Tao Di, Yongfeng Huang, Xing Xie:
FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data. CoRR abs/2007.12135 (2020) - [i12]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) - [i11]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang:
Improving Attention Mechanism with Query-Value Interaction. CoRR abs/2010.03766 (2020) - [i10]Chuhan Wu, Fangzhao Wu, Yongfeng Huang:
DA-Transformer: Distance-aware Transformer. CoRR abs/2010.06925 (2020)
2010 – 2019
- 2019
- [j14]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) - [j13]Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang:
Automatic construction of target-specific sentiment lexicon. Expert Syst. Appl. 116: 285-298 (2019) - [j12]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese word segmentation with dictionary. Neurocomputing 338: 46-54 (2019) - [j11]Chuhan Wu, Fangzhao Wu, Sixing Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang:
Semi-supervised dimensional sentiment analysis with variational autoencoder. Knowl. Based Syst. 165: 30-39 (2019) - [j10]Sixing Wu, Yuanfan Xu, Fangzhao Wu, Zhigang Yuan, Yongfeng Huang, Xing Li:
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge. Knowl. Based Syst. 183 (2019) - [c52]Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie:
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. AAAI 2019: 7442-7449 - [c51]Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345 - [c50]Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Topic-Aware News Representation. ACL (1) 2019: 1154-1159 - [c49]Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang:
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction. ACL (1) 2019: 3538-3547 - [c48]Peiyi Wang, Hongtao Liu, Fangzhao Wu, Jinduo Song, Hongyan Xu, Wenjun Wang:
REKA: Relation Extraction with Knowledge-Aware Attention. CCKS 2019: 62-73 - [c47]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 - [c46]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
Sentiment Lexicon Enhanced Neural Sentiment Classification. CIKM 2019: 1091-1100 - [c45]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie:
ARP: Aspect-aware Neural Review Rating Prediction. CIKM 2019: 2169-2172 - [c44]Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Review Rating Prediction with User and Product Memory. CIKM 2019: 2341-2344 - [c43]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 - [c42]Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie:
NICE: Neural In-Hospital Cost Estimation from Medical Records. CIKM 2019: 2409-2412 - [c41]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Title-Aware Neural News Topic Prediction. CCL 2019: 181-193 - [c40]Mingxiao An, Fangzhao Wu, Heyuan Wang, Tao Di, Jianqiang Huang, Xing Xie:
Neural CTR Prediction for Native Ad. CCL 2019: 600-612 - [c39]Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie:
Neural Gender Prediction from News Browsing Data. CCL 2019: 664-676 - [c38]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie:
Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors. DASFAA (3) 2019: 363-367 - [c37]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 - [c36]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 - [c35]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 - [c34]Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. IJCAI 2019: 3059-3065 - [c33]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
Neural News Recommendation with Attentive Multi-View Learning. IJCAI 2019: 3863-3869 - [c32]Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie:
NPA: Neural News Recommendation with Personalized Attention. KDD 2019: 2576-2584 - [c31]Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang:
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation. NAACL-HLT (1) 2019: 1818-1826 - [c30]Hongtao Liu, Yian Wang, Fangzhao Wu, Pengfei Jiao, Hongyan Xu, Xing Xie:
REKER: Relation Extraction with Knowledge of Entity and Relation. NLPCC (2) 2019: 90-102 - [c29]Hongtao Liu, Peiyi Wang, Fangzhao Wu, Pengfei Jiao, Wenjun Wang, Xing Xie, Yueheng Sun:
REET: Joint Relation Extraction and Entity Typing via Multi-task Learning. NLPCC (1) 2019: 327-339 - [c28]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. SIGIR 2019: 1233-1236 - [c27]Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie:
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. WSDM 2019: 33-41 - [c26]Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie:
Neural Demographic Prediction using Search Query. WSDM 2019: 654-662 - [c25]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. WWW 2019: 3013-3019 - [c24]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. WWW 2019: 3342-3348 - [i9]Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin:
Logic Rules Powered Knowledge Graph Embedding. CoRR abs/1903.03772 (2019) - [i8]Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization. CoRR abs/1905.01963 (2019) - [i7]Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie:
Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation. CoRR abs/1905.01964 (2019) - [i6]Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie:
NRPA: Neural Recommendation with Personalized Attention. CoRR abs/1905.12480 (2019) - [i5]Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu,