Leyu Lin

According to our database, Leyu Lin authored at least 87 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning.

Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang

IEEE Trans. Knowl. Data Eng., November, 2024

Triple Sequence Learning for Cross-domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

ACM Trans. Inf. Syst., July, 2024

Personalized Prompt for Sequential Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He

IEEE Trans. Knowl. Data Eng., July, 2024

ID-centric Pre-training for Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu

CoRR, 2024

Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models.

Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

CoRR, 2024

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems.

Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

Proceedings of the ACM on Web Conference 2024, 2024

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback.

Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AuriSRec: Adversarial User Intention Learning in Sequential Recommendation.

Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Style Controlling in Recommendation.

Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang

Proceedings of the Database Systems for Advanced Applications, 2024

Plug-In Diffusion Model for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Group-based social diffusion in recommendation.

Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin

World Wide Web (WWW), July, 2023

A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT.

Leyu Lin, Yue Zhao, Jintao Meng, Qi Zhao

Sensors, July, 2023

Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation.

Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha

IEEE Trans. Knowl. Data Eng., March, 2023

UPRec: User-aware Pre-training for sequential Recommendation.

Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin

AI Open, January, 2023

Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation.

Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin

CoRR, 2023

Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation.

Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin

CoRR, 2023

Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender.

Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin

CoRR, 2023

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach.

Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

CoRR, 2023

Reweighting Clicks with Dwell Time in Recommendation.

Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

UFNRec: Utilizing False Negative Samples for Sequential Recommendation.

Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Generative Next-Basket Recommendation.

Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Exploring False Hard Negative Sample in Cross-Domain Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Interpretable User Retention Modeling in Recommendation.

Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Future Augmentation with Self-distillation in Recommendation.

Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Better Pre-Training by Reducing Representation Confusion.

Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Multi-granularity Item-Based Contrastive Recommendation.

Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin

Proceedings of the Database Systems for Advanced Applications, 2023

Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation.

Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

COSINE: Compressive Network Embedding on Large-Scale Information Networks.

Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin

IEEE Trans. Knowl. Data Eng., 2022

Understanding WeChat User Preferences and "Wow" Diffusion.

Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, Philip S. Yu

IEEE Trans. Knowl. Data Eng., 2022

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network.

Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin

IEEE Trans. Big Data, 2022

SQRT: A Secure Querying Scheme of Routing Table Based on Oblivious Transfer.

Yue Zhao, Bo Tian, Ning Hu, Qi Zhao, Yiru Niu, Leyu Lin, Yarang Yang

Symmetry, 2022

Adaptively sharing multi-levels of distributed representations in multi-task learning.

Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He

Inf. Sci., 2022

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations.

Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

CoRR, 2022

Personalized Prompts for Sequential Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He

CoRR, 2022

Personalized Transfer of User Preferences for Cross-domain Recommendation.

Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Peep into the Future: Adversarial Future Encoding in Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Long Short-Term Temporal Meta-learning in Online Recommendation.

Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Selective Fairness in Recommendation via Prompts.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Privacy-Preserving Gait Recognition Scheme Under Homomorphic Encryption.

Leyu Lin, Bo Tian, Yue Zhao, Yiru Niu

Proceedings of the International Conference on Networking and Network Applications, 2022

Contrastive Cross-domain Recommendation in Matching.

Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-view Multi-behavior Contrastive Learning in Recommendation.

Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

Multi-granularity Fatigue in Recommendation.

Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Novel Weight Adaptive Multi Factor Authorization Technology.

Ruiqi Zeng, Leyu Lin, Yue Zhao

Proceedings of the Advanced Hybrid Information Processing, 2022

Prompt Tuning for Discriminative Pre-trained Language Models.

Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction.

Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He

IEEE Trans. Knowl. Data Eng., 2021

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect.

Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Frontiers Big Data, 2021

C²-Rec: An Effective Consistency Constraint for Sequential Recommendation.

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

CoRR, 2021

UPRec: User-Aware Pre-training for Recommender Systems.

Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin

CoRR, 2021

Personalized Approximate Pareto-Efficient Recommendation.

Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the WWW '21: The Web Conference 2021, 2021

Real-time Relevant Recommendation Suggestion.

Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin

Proceedings of the WSDM '21, 2021

Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks.

Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users.

Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Package Recommendation with Intra- and Inter-Package Attention Networks.

Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction.

Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

Open Hierarchical Relation Extraction.

Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising.

Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adversarial Feature Translation for Multi-domain Recommendation.

Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Influence Maximization in Multi-Relational Social Networks.

Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hierarchical Reinforcement Learning for Integrated Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction.

Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation.

Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Exploring Clustering of Bandits for Online Recommendation System.

Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation.

Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

FAQ-Based Question Answering via Knowledge Anchors.

Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection.

Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.

Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Feedback Network for Recommendation.

Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Towards Fast Adaptation of Neural Architectures with Meta Learning.

Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao

Proceedings of the 8th International Conference on Learning Representations, 2020

Denoising Relation Extraction from Document-level Distant Supervision.

Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction.

Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.

Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Learning to Build User-tag Profile in Recommendation System.

Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.

Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Neural Snowball for Few-Shot Relation Learning.

Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Search Result Reranking with Visual and Structure Information Sources.

Yiqun Liu, Junqi Zhang, Jiaxin Mao, Min Zhang, Shaoping Ma, Qi Tian, Yanxiong Lu, Leyu Lin

ACM Trans. Inf. Syst., 2019

A Unified Framework for Community Detection and Network Representation Learning.

Cunchao Tu, Xiangkai Zeng, Hao Wang, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Bo Zhang, Leyu Lin

IEEE Trans. Knowl. Data Eng., 2019

Atom Responding Machine for Dialog Generation.

Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He

CoRR, 2019

Effects of User Negative Experience in Mobile News Streaming.

Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Real-time Attention Based Look-alike Model for Recommender System.

Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data.

Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents.

Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He

CoRR, 2018

Language Modeling with Sparse Product of Sememe Experts.

Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Incorporating Chinese Characters of Words for Lexical Sememe Prediction.

Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence.

Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018