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Ruobing Xie

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

106

Venues

21

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

106 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAITransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model.Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li, Weidong Han, Zhanhui Kang, Di Wang, Yu Cheng
2026ACLUnion-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers.Songhao Wu, Ang Lv, Ruobing Xie, Samm Sun, Di Wang, Rui Yan, Yankai Lin
2026ACLFind Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation.Hengyuan Zhang, Shiping Yang, Xiao Liang, Chenming Shang, Yuxuan Jiang, Chaofan Tao, Jing Xiong, Hayden Kwok-Hay So, Ruobing Xie, Angel X. Chang, Ngai Wong
2026ACLLocate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models.Hengyuan Zhang, Zhihao Zhang, Ercong Nie, Mingyang Wang, Zunhai Su, Yiwei Wang, Qianli Wang, Shuzhou Yuan, Xufeng Duan, Qibo Xue, Zeping Yu, Chenming Shang, Xiao Liang, Jing Xiong, Hui Shen, Chaofan Tao, Zhengwu Liu, Senjie Jin, Zhiheng Xi, Dongdong Zhang, Sophia Ananiadou, Tao Gui, Ruobing Xie, Hayden Kwok-Hay So, Hinrich Schtze, Xuanjing Huang, Qi Zhang, Ngai Wong
2026SIGIRDisentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation.Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu
2025AAAIEnhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant".Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang
2025AAAICurriculum Conditioned Diffusion for Multimodal Recommendation.Yimeng Yang, Haokai Ma, Lei Meng, Shuo Xu, Ruobing Xie, Xiangxu Meng
2025ACLFusing Highly Specialized Language Models for Comprehensive Expertise.Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun
2025ACLMitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization.Yuhan Fu, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Xirong Li
2025ACLExploring Forgetting in Large Language Model Pre-Training.Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang
2025CIKMORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling.Huishi Luo, Fuzhen Zhuang, Yongchun Zhu, Yiqing Wu, Bo Kang, Ruobing Xie, Feng Xia, Deqing Wang, Jin Dong
2025CVPRPhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset.Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li
2025EMNLPHMoE: Heterogeneous Mixture of Experts for Language Modeling.An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, Weidong Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu
2025EMNLPSparsifying Mamba.An Wang, Ruobing Xie, Shuaipeng Li, Xingwu Sun, Zhanhui Kang
2025EMNLPThe Security Threat of Compressed Projectors in Large Vision-Language Models.Yudong Zhang, Ruobing Xie, Xingwu Sun, Jiansheng Chen, Zhanhui Kang, Di Wang, Yu Wang
2025ICASSPA Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation.Wenqi Sun, Ruobing Xie, Junjie Zhang, Zitian Guo, Wayne Xin Zhao, Zhanhui Kang, Ji-Rong Wen
2025ICCVHybrid-Tower: Fine-Grained Pseudo-Query Interaction and Generation for Text-to-Video Retrieval.Bangxiang Lan, Ruobing Xie, Ruixiang Zhao, Xingwu Sun, Zhanhui Kang, Gang Yang, Xirong Li
2025ICLRInternet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence.Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
2025ICLRAdvancing LLM Reasoning Generalists with Preference Trees.Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun
2025ICMLAutonomy-of-Experts Models.Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan
2025ICMLScaling Laws for Floating-Point Quantization Training.Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-zhong Xu, Di Wang, Jie Jiang
2025IJCNNEliminating Retrieval Knowledge Conflicts: Cross-Validation Re-ranking with Large Language Models.Qirui Wu, Lin Hai, Hai-Tao Zheng, Ruobing Xie, Saiyong Yang, Xingwu Sun, Zhanhui Kang, Hong-Gee Kim
2025NAACLContinuous Speech Tokenizer in Text To Speech.Yixing Li, Ruobing Xie, Xingwu Sun, Yu Cheng, Zhanhui Kang
2025NAACLLanguage Models "Grok" to Copy.Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan
2025NAACLQAVA: Query-Agnostic Visual Attack to Large Vision-Language Models.Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Zhanhui Kang, Yu Wang
2025WWWFrequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation.Junjie Zhang, Ruobing Xie, Hongyu Lu, Wenqi Sun, Wayne Xin Zhao, Yu Chen, Zhanhui Kang
2025SIGIRMulti-Grained Patch Training for Efficient LLM-based Recommendation.Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
2025WSDMExploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation.Yidan Wang, Xuri Ge, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Zhumin Chen, Jun Ma, Xin Xin
2024AAAIPlug-In Diffusion Model for Sequential Recommendation.Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Zhanhui Kang
2024ACLMAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation.Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li
2024CIKMContent-Based Collaborative Generation for Recommender Systems.Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin
2024COLINGLightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders.Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu
2024DASFAAStyle Controlling in Recommendation.Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang
2024ECIRLarge Language Models are Zero-Shot Rankers for Recommender Systems.Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao
2024EMNLPBeyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication.Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
2024EMNLPControllable Preference Optimization: Toward Controllable Multi-Objective Alignment.Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun
2024EMNLPMultimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao
2024EMNLPAuriSRec: Adversarial User Intention Learning in Sequential Recommendation.Junjie Zhang, Ruobing Xie, Wenqi Sun, Leyu Lin, Xin Zhao, Ji-Rong Wen
2024ICLRAgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors.Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
2024ICLRToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun
2024ICMLULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback.Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun
2024ICMLExploring the Benefit of Activation Sparsity in Pre-training.Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
2024IJCAISeeDRec: Sememe-based Diffusion for Sequential Recommendation.Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang
2024KDDDFGNN: 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
2024KDDImproving 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
2024RecSysThe Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation.Zekai Qu, Ruobing Xie, Chaojun Xiao, Zhanhui Kang, Xingwu Sun
2024RecSysTowards Empathetic Conversational Recommender Systems.Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren
2024WWWMultimodal Conditioned Diffusion Model for Recommendation.Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, Xiangxu Meng
2024WWWAgentCF: 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
2023AAAIVisually Grounded Commonsense Knowledge Acquisition.Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun
2023ACLPruning Pre-trained Language Models Without Fine-Tuning.Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
2023ACLWebCPM: Interactive Web Search for Chinese Long-form Question Answering.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
2023ACLRecyclable Tuning for Continual Pre-training.Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
2023ACLEmergent Modularity in Pre-trained Transformers.Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou
2023DASFAAAdversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
2023DASFAAMulti-granularity Item-Based Contrastive Recommendation.Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
2023EACLBetter Pre-Training by Reducing Representation Confusion.Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
2023EMNLPBoosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models.Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
2023EMNLPVariator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules.Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
2023RecSysInterpretable User Retention Modeling in Recommendation.Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin
2023RecSysExploring False Hard Negative Sample in Cross-Domain Recommendation.Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou
2023RecSysGenerative Next-Basket Recommendation.Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen
2023WWWCross-domain Recommendation with Behavioral Importance Perception.Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu
2023WWWReweighting Clicks with Dwell Time in Recommendation.Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
2023SIGIRAttacking Pre-trained Recommendation.Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2022ACLPrompt 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
2022CIKMMIC: Model-agnostic Integrated Cross-channel Recommender.Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren
2022CIKMMulti-granularity Fatigue in Recommendation.Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
2022DASFAAMulti-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
2022KDDContrastive Cross-domain Recommendation in Matching.Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
2022SIGIRUser-Centric Conversational Recommendation with Multi-Aspect User Modeling.Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, Qing He
2022SIGIRSelective Fairness in Recommendation via Prompts.Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xiang Ao, Xu Zhang, Leyu Lin, Qing He
2022WSDMLong Short-Term Temporal Meta-learning in Online Recommendation.Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
2022WSDMA Peep into the Future: Adversarial Future Encoding in Recommendation.Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2022WSDMPersonalized Transfer of User Preferences for Cross-domain Recommendation.Yongchun Zhu, Zhenwei Tang, Yudan Liu, Fuzhen Zhuang, Ruobing Xie, Xu Zhang, Leyu Lin, Qing He
2021AAAIHierarchical Reinforcement Learning for Integrated Recommendation.Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021ACLIncorporating Global Information in Local Attention for Knowledge Representation Learning.Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu
2021CIKMExplore, Filter and Distill: Distilled Reinforcement Learning in Recommendation.Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021CIKMUSER: A Unified Information Search and Recommendation Model based on Integrated Behavior Sequence.Jing Yao, Zhicheng Dou, Ruobing Xie, Yanxiong Lu, Zhiping Wang, Ji-Rong Wen
2021KDDAdversarial Feature Translation for Multi-domain Recommendation.Xiaobo Hao, Yudan Liu, Ruobing Xie, Kaikai Ge, Linyao Tang, Xu Zhang, Leyu Lin
2021KDDLearning 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
2021NAACLOpen Hierarchical Relation Extraction.Kai Zhang, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
2021WWWPersonalized Approximate Pareto-Efficient Recommendation.Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
2021SIGIRPackage 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
2021SIGIRGroup based Personalized Search by Integrating Search Behaviour and Friend Network.Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen
2021SIGIRTransfer-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
2021SIGIRLearning 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
2021WSDMReal-time Relevant Recommendation Suggestion.Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin
2020AAAINeural Snowball for Few-Shot Relation Learning.Tianyu Gao, Xu Han, Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin, Maosong Sun
2020ACLConnecting Embeddings for Knowledge Graph Entity Typing.Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang
2020CIKMGraph 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
2020COLINGMeta-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
2020EMNLPDenoising Relation Extraction from Document-level Distant Supervision.Chaojun Xiao, Yuan Yao, Ruobing Xie, Xu Han, Zhiyuan Liu, Maosong Sun, Fen Lin, Leyu Lin
2020IJCAIDeep Feedback Network for Recommendation.Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
2020IJCAIInternal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation.Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
2019EMNLPOpen 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
2018AAAIDoes William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence.Ruobing Xie, Zhiyuan Liu, Fen Lin, Leyu Lin
2018ACLIncorporating Chinese Characters of Words for Lexical Sememe Prediction.Huiming Jin, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
2018EMNLPLanguage Modeling with Sparse Product of Sememe Experts.Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin
2018EMNLPCross-lingual Lexical Sememe Prediction.Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu
2017ACLImproved Word Representation Learning with Sememes.Yilin Niu, Ruobing Xie, Zhiyuan Liu, Maosong Sun
2017IJCAIImage-embodied Knowledge Representation Learning.Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun
2017IJCAILexical Sememe Prediction via Word Embeddings and Matrix Factorization.Ruobing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun
2017IJCAIIterative Entity Alignment via Joint Knowledge Embeddings.Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun
2016AAAIRepresentation Learning of Knowledge Graphs with Entity Descriptions.Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun
2016IJCAIRepresentation Learning of Knowledge Graphs with Hierarchical Types.Ruobing Xie, Zhiyuan Liu, Maosong Sun