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2020 – today
- 2024
[j16]Yiqing Wu
, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompt for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3376-3389 (2024)- [j15]Weilong Chen, Shaoliang Zhang, Ruobing Xie, Feng Xia, Leyu Lin, Xinran Zhang, Yan Wang, Yanru Zhang:
CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 36(11): 5753-5767 (2024) - [j14]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 91:1-91:29 (2024) - [c58]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang:
Plug-In Diffusion Model for Sequential Recommendation. AAAI 2024: 8886-8894 - [c57]Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang:
Style Controlling in Recommendation. DASFAA (7) 2024: 427-431 - [c56]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD 2024: 3437-3447 - [c55]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD 2024: 3645-3656 - [c54]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. WWW 2024: 3679-3689 - [i40]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. CoRR abs/2401.00797 (2024) - [i39]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang:
Plug-in Diffusion Model for Sequential Recommendation. CoRR abs/2401.02913 (2024) - [i38]Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
ID-centric Pre-training for Recommendation. CoRR abs/2405.03562 (2024) - [i37]Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR abs/2405.15280 (2024) - [i36]Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin:
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. CoRR abs/2406.12501 (2024) - 2023
- [j13]Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-aware Pre-training for sequential Recommendation. AI Open 4: 137-144 (2023) - [j12]Leyu Lin, Yue Zhao, Jintao Meng, Qi Zhao:
A Federated Attention-Based Multimodal Biometric Recognition Approach in IoT. Sensors 23(13): 6006 (2023) - [j11]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(3): 2683-2696 (2023) - [j10]Xumin Chen, Ruobing Xie, Zhijie Qiu, Peng Cui, Ziwei Zhang, Shukai Liu, Shiqiang Yang, Bo Zhang, Leyu Lin:
Group-based social diffusion in recommendation. World Wide Web (WWW) 26(4): 1775-1792 (2023) - [c53]Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. CIKM 2023: 4901-4908 - [c52]Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin:
Multi-granularity Item-Based Contrastive Recommendation. DASFAA (2) 2023: 406-416 - [c51]Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
Better Pre-Training by Reducing Representation Confusion. EACL (Findings) 2023: 2280-2291 - [c50]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD 2023: 3901-3913 - [c49]Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin:
Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) 2023: 602-618 - [c48]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Exploring False Hard Negative Sample in Cross-Domain Recommendation. RecSys 2023: 502-514 - [c47]Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin:
Interpretable User Retention Modeling in Recommendation. RecSys 2023: 702-708 - [c46]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c45]Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu:
UFNRec: Utilizing False Negative Samples for Sequential Recommendation. SDM 2023: 46-54 - [c44]Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) 2023: 341-345 - [i35]Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou:
Triple Sequence Learning for Cross-domain Recommendation. CoRR abs/2304.05027 (2023) - [i34]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i33]Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. CoRR abs/2306.00009 (2023) - [i32]Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin:
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. CoRR abs/2308.07629 (2023) - [i31]Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin:
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. CoRR abs/2309.16322 (2023) - [i30]Junjie Zhang, Yupeng Hou, Ruobing Xie, Wenqi Sun, Julian J. McAuley, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. CoRR abs/2310.09233 (2023) - 2022
- [j9]Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He:
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591: 226-234 (2022) - [j8]Yue Zhao, Bo Tian, Ning Hu, Qi Zhao, Yiru Niu, Leyu Lin, Yarang Yang:
SQRT: A Secure Querying Scheme of Routing Table Based on Oblivious Transfer. Symmetry 14(6): 1245 (2022) - [j7]Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. IEEE Trans. Big Data 8(4): 955-967 (2022) - [j6]Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-Scale Information Networks. IEEE Trans. Knowl. Data Eng. 34(8): 3655-3668 (2022) - [j5]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:
Understanding WeChat User Preferences and "Wow" Diffusion. IEEE Trans. Knowl. Data Eng. 34(12): 6033-6046 (2022) - [c43]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. ACL (Findings) 2022: 3468-3473 - [c42]Ruiqi Zeng, Leyu Lin, Yue Zhao:
A Novel Weight Adaptive Multi Factor Authorization Technology. ADHIP (2) 2022: 446-457 - [c41]Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin:
Multi-granularity Fatigue in Recommendation. CIKM 2022: 4595-4599 - [c40]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. DASFAA (2) 2022: 166-182 - [c39]Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin:
Contrastive Cross-domain Recommendation in Matching. KDD 2022: 4226-4236 - [c38]Leyu Lin, Bo Tian, Yue Zhao, Yiru Niu:
A Privacy-Preserving Gait Recognition Scheme Under Homomorphic Encryption. NaNA 2022: 406-410 - [c37]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. SIGIR 2022: 2657-2662 - [c36]Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. WSDM 2022: 1168-1176 - [c35]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM 2022: 1177-1185 - [c34]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. WSDM 2022: 1507-1515 - [i29]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Xiang Ao, Xin Chen, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Qing He:
Multi-view Multi-behavior Contrastive Learning in Recommendation. CoRR abs/2203.10576 (2022) - [i28]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He:
Selective Fairness in Recommendation via Prompts. CoRR abs/2205.04682 (2022) - [i27]Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He:
Personalized Prompts for Sequential Recommendation. CoRR abs/2205.09666 (2022) - [i26]Yuan Yao, Bowen Dong, Ao Zhang, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Leyu Lin, Maosong Sun, Jianyong Wang:
Prompt Tuning for Discriminative Pre-trained Language Models. CoRR abs/2205.11166 (2022) - [i25]Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin:
Multi-granularity Item-based Contrastive Recommendation. CoRR abs/2207.01387 (2022) - [i24]Xiaoyang Liu, Chong Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Leyu Lin, Zhijun Chen, Liangliang Fu:
UFNRec: Utilizing False Negative Samples for Sequential Recommendation. CoRR abs/2208.04116 (2022) - [i23]Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. CoRR abs/2209.09000 (2022) - [i22]Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations. CoRR abs/2210.04246 (2022) - 2021
- [j4]Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. Frontiers Big Data 4: 602071 (2021) - [j3]Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33(7): 2903-2913 (2021) - [c33]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI 2021: 4521-4528 - [c32]Wei Wang, Haili Yang, Yuanfu Lu, Yuanhang Zou, Xu Zhang, Shuting Guo, Leyu Lin:
Influence Maximization in Multi-Relational Social Networks. CIKM 2021: 4193-4202 - [c31]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM 2021: 4243-4252 - [c30]Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin:
Adversarial Feature Translation for Multi-domain Recommendation. KDD 2021: 2964-2973 - [c29]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. KDD 2021: 4005-4013 - [c28]Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Open Hierarchical Relation Extraction. NAACL-HLT 2021: 5682-5693 - [c27]Haomin Yu, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin:
MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. ECML/PKDD (5) 2021: 201-217 - [c26]Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin:
Package Recommendation with Intra- and Inter-Package Attention Networks. SIGIR 2021: 595-604 - [c25]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. SIGIR 2021: 1167-1176 - [c24]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. SIGIR 2021: 1813-1817 - [c23]Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin:
Real-time Relevant Recommendation Suggestion. WSDM 2021: 112-120 - [c22]Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Personalized Approximate Pareto-Efficient Recommendation. WWW 2021: 3839-3849 - [i21]Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin:
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network. CoRR abs/2102.03787 (2021) - [i20]Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin:
UPRec: User-Aware Pre-training for Recommender Systems. CoRR abs/2102.10989 (2021) - [i19]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:
Understanding WeChat User Preferences and "Wow" Diffusion. CoRR abs/2103.02930 (2021) - [i18]Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR abs/2105.03686 (2021) - [i17]Yongchun Zhu, Kaikai Ge, Fuzhen Zhuang, Ruobing Xie, Dongbo Xi, Xu Zhang, Leyu Lin, Qing He:
Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. CoRR abs/2105.04785 (2021) - [i16]Yongchun Zhu, Ruobing Xie, Fuzhen Zhuang, Kaikai Ge, Ying Sun, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Warm Up Cold Item Embeddings for Cold-start Recommendation with Meta Scaling and Shifting Networks. CoRR abs/2105.04790 (2021) - [i15]Yongchun Zhu, Yudan Liu, Ruobing Xie, Fuzhen Zhuang, Xiaobo Hao, Kaikai Ge, Xu Zhang, Leyu Lin, Juan Cao:
Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising. CoRR abs/2105.14688 (2021) - [i14]Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He:
Personalized Transfer of User Preferences for Cross-domain Recommendation. CoRR abs/2110.11154 (2021) - [i13]Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin:
Contrastive Cross-domain Recommendation in Matching. CoRR abs/2112.00999 (2021) - [i12]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR abs/2112.06668 (2021) - 2020
- [c21]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. AAAI 2020: 7772-7779 - [c20]Qi Liu, Ruobing Xie, Lei Chen, Shukai Liu, Ke Tu, Peng Cui, Bo Zhang, Leyu Lin:
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. CIKM 2020: 2613-2620 - [c19]Su Yan, Xin Chen, Ran Huo, Xu Zhang, Leyu Lin:
Learning to Build User-tag Profile in Recommendation System. CIKM 2020: 2877-2884 - [c18]Bowen Dong, Yuan Yao, Ruobing Xie, Tianyu Gao, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. COLING 2020: 1594-1605 - [c17]Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He:
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI 2020: 529-536 - [c16]Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin:
Denoising Relation Extraction from Document-level Distant Supervision. EMNLP (1) 2020: 3683-3688 - [c15]Dongze Lian, Yin Zheng, Yintao Xu, Yanxiong Lu, Leyu Lin, Peilin Zhao, Junzhou Huang, Shenghua Gao:
Towards Fast Adaptation of Neural Architectures with Meta Learning. ICLR 2020 - [c14]Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin:
Deep Feedback Network for Recommendation. IJCAI 2020: 2519-2525 - [c13]Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin:
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. IJCAI 2020: 2732-2738 - [c12]Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang:
Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. ACM Multimedia 2020: 4575-4579 - [c11]Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin:
FAQ-Based Question Answering via Knowledge Anchors. NLPCC (1) 2020: 3-15 - [c10]Yuanfu Lu, Ruobing Xie, Chuan Shi, Yuan Fang, Wei Wang, Xu Zhang, Leyu Lin:
Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. ECML/PKDD (4) 2020: 3-18 - [c9]Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang:
Exploring Clustering of Bandits for Online Recommendation System. RecSys 2020: 120-129 - [c8]Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR 2020: 1449-1458 - [c7]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW 2020: 3056-3062 - [i11]Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha:
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR abs/2002.07993 (2020) - [i10]Zheni Zeng, Chaojun Xiao, Yuan Yao, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. CoRR abs/2009.09226 (2020) - [i9]Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin:
Denoising Relation Extraction from Document-level Distant Supervision. CoRR abs/2011.03888 (2020)
2010 – 2019
- 2019
- [j2]Cunchao Tu, Xiangkai Zeng, Hao Wang, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Bo Zhang, Leyu Lin:
A Unified Framework for Community Detection and Network Representation Learning. IEEE Trans. Knowl. Data Eng. 31(6): 1051-1065 (2019) - [j1]Yiqun Liu, Junqi Zhang, Jiaxin Mao, Min Zhang, Shaoping Ma, Qi Tian, Yanxiong Lu, Leyu Lin:
Search Result Reranking with Visual and Structure Information Sources. ACM Trans. Inf. Syst. 37(3): 38:1-38:38 (2019) - [c6]Ruidong Wu, Yuan Yao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. EMNLP/IJCNLP (1) 2019: 219-228 - [c5]Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin:
Real-time Attention Based Look-alike Model for Recommender System. KDD 2019: 2765-2773 - [c4]Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma:
Effects of User Negative Experience in Mobile News Streaming. SIGIR 2019: 705-714 - [i8]Ganbin Zhou, Ping Luo, Jingwu Chen, Fen Lin, Leyu Lin, Qing He:
Atom Responding Machine for Dialog Generation. CoRR abs/1905.05532 (2019) - [i7]Yudan Liu, Kaikai Ge, Xu Zhang, Leyu Lin:
Real-time Attention Based Look-alike Model for Recommender System. CoRR abs/1906.05022 (2019) - [i6]Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun:
Neural Snowball for Few-Shot Relation Learning. CoRR abs/1908.11007 (2019) - [i5]Ruobing Xie, Yanan Lu, Fen Lin, Leyu Lin:
FAQ-based Question Answering via Knowledge Anchors. CoRR abs/1911.05930 (2019) - 2018
- [c3]Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin:
Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. AAAI 2018: 4954-4961 - [c2]Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Incorporating Chinese Characters of Words for Lexical Sememe Prediction. ACL (1) 2018: 2439-2449 - [c1]Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. EMNLP 2018: 4642-4651 - [i4]Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Incorporating Chinese Characters of Words for Lexical Sememe Prediction. CoRR abs/1806.06349 (2018) - [i3]Ganbin Zhou, Rongyu Cao, Xiang Ao, Ping Luo, Fen Lin, Leyu Lin, Qing He:
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents. CoRR abs/1808.07228 (2018) - [i2]Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. CoRR abs/1810.12387 (2018) - [i1]Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin:
COSINE: Compressive Network Embedding on Large-scale Information Networks. CoRR abs/1812.08972 (2018)
Coauthor Index
[j16] [j15] [j14] [c58] [c57] [c56] [c55] [c54] [i40] [i39] [i38] [i37] [i36] [j13] [j10] [c52] [c51] [c49] [c48] [c47] [c46] [c44] [i35] [i34] [i32] [i30] [j7] [j5] [c43] [c41] [c40] [c39] [c37] [c36] [c35] [c34] [i29] [i28] [i27] [i26] [i25] [i23] [i22] [j4] [c33] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c21] [c20] [c18] [c16] [c14] [c13] [c12] [c11] [c10] [i10] [i9] [c6] [i6] [i5] [c3] [c2] [c1] [i4] [i2]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 20:32 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
