Ruobing Xie

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 131

Top Venues

Publications

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 (2024)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang
Plug-in Diffusion Model for Sequential Recommendation. CoRR (2024)
Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Recyclable Tuning for Continual Pre-training. ACL (Findings) (2023)
Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
Emergent Modularity in Pre-trained Transformers. ACL (Findings) (2023)
Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. CoRR (2023)
Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
Better Pre-Training by Reducing Representation Confusion. EACL (Findings) (2023)
Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) (2023)
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 (2023)
Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. CoRR (2023)
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)
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)
Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin
Interpretable User Retention Modeling in Recommendation. RecSys (2023)
Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun
Visually Grounded Commonsense Knowledge Acquisition. AAAI (2023)
Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
Emergent Modularity in Pre-trained Transformers. CoRR (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. SIGIR (2023)
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang
A Survey on Causal Inference for Recommendation. CoRR (2023)
Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. EMNLP (Findings) (2023)
Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. CoRR (2023)
Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou
Triple Sequence Learning for Cross-domain Recommendation. CoRR (2023)
Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu
Cross-domain Recommendation with Behavioral Importance Perception. WWW (2023)
Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang
Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. EMNLP (Findings) (2023)
Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian McAuley, Wayne Xin Zhao
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR (2023)
Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Recyclable Tuning for Continual Pre-training. CoRR (2023)
Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
Generative Next-Basket Recommendation. RecSys (2023)
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
Attacking Pre-trained Recommendation. CoRR (2023)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) (2023)
Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
Multi-granularity Item-Based Contrastive Recommendation. DASFAA (2) (2023)
Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou
WebCPM: Interactive Web Search for Chinese Long-form Question Answering. ACL (1) (2023)
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 (2023)
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 (2023)
Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou
Universal Multi-modal Multi-domain Pre-trained Recommendation. CoRR (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) (2023)
Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. CoRR (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR (2023)
Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. CoRR (2023)
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60 (4) (2023)
Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. CoRR (2023)
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 (2023)
Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li
MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. CoRR (2023)
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) (2023)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. ECML/PKDD (2) (2022)
Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
Multi-granularity Item-based Contrastive Recommendation. CoRR (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Qing He
Personalized Prompts for Sequential Recommendation. CoRR (2022)
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)
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 (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. SIGIR (2022)
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)
Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong
Customized Conversational Recommender Systems. CoRR (2022)
Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun
Visually Grounded Commonsense Knowledge Acquisition. CoRR (2022)
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)
Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Contrastive Cross-domain Recommendation in Matching. KDD (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. CoRR (2022)
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) (2022)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. CoRR (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59 (6) (2022)
Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li
EIGAT: Incorporating global information in local attention for knowledge representation learning. Knowl. Based Syst. 237 (2022)
Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
User-Centric Conversational Recommendation with Multi-Aspect User Modeling. CoRR (2022)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM (2022)
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 (2022)
Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
Selective Fairness in Recommendation via Prompts. SIGIR (2022)
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)
Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren
MIC: Model-agnostic Integrated Cross-channel Recommender. CIKM (2022)
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 (2022)
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) (2022)
Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
Multi-granularity Fatigue in Recommendation. CIKM (2022)
Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Contrastive Cross-domain Recommendation in Matching. CoRR (2021)
Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren
MIC: Model-agnostic Integrated Cross-channel Recommenders. CoRR (2021)
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)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI (2021)
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 (2021)
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR (2021)
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)
Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS (2021)
Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li
Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs. Knowl. Based Syst. 215 (2021)
Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin
Adversarial Feature Translation for Multi-domain Recommendation. KDD (2021)
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)
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 (2021)
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 (2021)
Chaojun Xiao, Ruobing Xie, Yuan Yao, Zhiyuan Liu, Maosong Sun, Xu Zhang, Leyu Lin
UPRec: User-Aware Pre-training for Recommender Systems. CoRR (2021)
Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
Incorporating Global Information in Local Attention for Knowledge Representation Learning. ACL/IJCNLP (Findings) (2021)
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
Group based Personalized Search by Integrating Search Behaviour and Friend Network. SIGIR (2021)
Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
Open Hierarchical Relation Extraction. NAACL-HLT (2021)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM (2021)
Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
Group based Personalized Search by Integrating Search Behaviour and Friend Network. CoRR (2021)
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)
Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. CIKM (2021)
Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen
USER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence. CoRR (2021)
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 (2021)
Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin
Real-time Relevant Recommendation Suggestion. WSDM (2021)
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)
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 (2021)
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 (2021)
Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Personalized Approximate Pareto-Efficient Recommendation. WWW (2021)
Fanchao Qi, Ruobing Xie, Yuan Zang, Zhiyuan Liu, Maosong Sun
Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases. Frontiers Comput. Sci. 15 (5) (2021)
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 (2021)
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)
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
Connecting Embeddings for Knowledge Graph Entity Typing. ACL (2020)
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 (2020)
Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun
Integrating Image-Based and Knowledge-Based Representation Learning. IEEE Trans. Cogn. Dev. Syst. 12 (2) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ruobing Xie