Ruobing Xie

According to our database, Ruobing Xie authored at least 140 papers between 2016 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

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph.

Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia

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

Group-to-group recommendation with neural graph matching.

Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang

World Wide Web (WWW), March, 2024

Hyperbolic Pre-Trained Language Model.

Weize Chen, Xu Han, Yankai Lin, Kaichen He, Ruobing Xie, Jie Zhou, Zhiyuan Liu, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2024

FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning.

Wei Chen, Meng Yuan, Zhao Zhang, Ruobing Xie, Fuzhen Zhuang, Deqing Wang, Rui Liu

CoRR, 2024

Continuous Speech Tokenizer in Text To Speech.

Yixing Li, Ruobing Xie, Xingwu Sun, Yu Cheng, Zhanhui Kang

CoRR, 2024

Exploring Forgetting in Large Language Model Pre-Training.

Chonghua Liao, Ruobing Xie, Xingwu Sun, Haowen Sun, Zhanhui Kang

CoRR, 2024

Lossless KV Cache Compression to 2%.

Zhen Yang, J. N. Han, Kan Wu, Ruobing Xie, An Wang, Xingwu Sun, Zhanhui Kang

CoRR, 2024

RosePO: Aligning LLM-based Recommenders with Human Values.

Jiayi Liao, Xiangnan He, Ruobing Xie, Jiancan Wu, Yancheng Yuan, Xingwu Sun, Zhanhui Kang, Xiang Wang

CoRR, 2024

Magnifier Prompt: Tackling Multimodal Hallucination via Extremely Simple Instructions.

Yuhan Fu, Ruobing Xie, Jiazhen Liu, Bangxiang Lan, Xingwu Sun, Zhanhui Kang, Xirong Li

CoRR, 2024

Language Models "Grok" to Copy.

Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui Yan

CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

CoRR, 2024

HMoE: Heterogeneous Mixture of Experts for Language Modeling.

An Wang, Xingwu Sun, Ruobing Xie, Shuaipeng Li, Jiaqi Zhu, Zhen Yang, Pinxue Zhao, J. N. Han, Zhanhui Kang, Di Wang, Naoaki Okazaki, Cheng-Zhong Xu

CoRR, 2024

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation.

Changshuo Zhang, Teng Shi, Xiao Zhang, Qi Liu, Ruobing Xie, Jun Xu, Ji-Rong Wen

CoRR, 2024

Internet 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

CoRR, 2024

QAGCF: Graph Collaborative Filtering for Q&A Recommendation.

Changshuo Zhang, Teng Shi, Xiao Zhang, Yanping Zheng, Ruobing Xie, Qi Liu, Jun Xu, Ji-Rong Wen

CoRR, 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

Advancing LLM Reasoning Generalists with Preference Trees.

Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Enhanced Generative Recommendation via Content and Collaboration Integration.

Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin

CoRR, 2024

PhD: A Prompted Visual Hallucination Evaluation Dataset.

Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, Xirong Li

CoRR, 2024

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

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

Multimodal Conditioned Diffusion Model for Recommendation.

Haokai Ma, Yimeng Yang, Lei Meng, Ruobing Xie, Xiangxu Meng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Towards 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

The 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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions.

Yudong Zhang, Ruobing Xie, Jiansheng Chen, Xingwu Sun, Yu Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 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

SeeDRec: Sememe-based Diffusion for Sequential Recommendation.

Haokai Ma, Ruobing Xie, Lei Meng, Yimeng Yang, Xingwu Sun, Zhanhui Kang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Exploring 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ULTRAFEEDBACK: 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ToolLLM: 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentVerse: 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.

Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Controllable 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Beyond 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

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

Large 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

Proceedings of the Advances in Information Retrieval, 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

LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders.

Xingwu Sun, Zhen Yang, Ruobing Xie, Fengzong Lian, Zhanhui Kang, Chengzhong Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Content-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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MAVEN-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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing.

Yu Zhao, Han Zhou, Anxiang Zhang, Ruobing Xie, Qing Li, Fuzhen Zhuang

IEEE Trans. Knowl. Data Eng., May, 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

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.

Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng

Inf. Process. Manag., 2023

Universal Multi-modal Multi-domain Pre-trained Recommendation.

Wenqi Sun, Ruobing Xie, Shuqing Bian, Wayne Xin Zhao, Jie Zhou

CoRR, 2023

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language.

Zekai Qu, Ruobing Xie, Chaojun Xiao, Yuan Yao, Zhiyuan Liu, Fengzong Lian, Zhanhui Kang, Jie Zhou

CoRR, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.

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

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

ToolLLM: 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, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

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

A Survey on Causal Inference for Recommendation.

Huishi Luo, Fuzhen Zhuang, Ruobing Xie, Hengshu Zhu, Deqing Wang

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

Cross-domain Recommendation with Behavioral Importance Perception.

Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou, Wenwu Zhu

Proceedings of the ACM Web Conference 2023, 2023

Attacking Pre-trained Recommendation.

Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Variator: 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

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

Boosting 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

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

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.

Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2023

Emergent 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

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

Recyclable Tuning for Continual Pre-training.

Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

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

WebCPM: 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pruning Pre-trained Language Models Without Fine-Tuning.

Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Visually 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

EIGAT: Incorporating global information in local attention for knowledge representation learning.

Yu Zhao, Huali Feng, Han Zhou, Yanruo Yang, Xingyan Chen, Ruobing Xie, Fuzhen Zhuang, Qing Li

Knowl. Based Syst., 2022

Self-Supervised learning for Conversational Recommendation.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He

Inf. Process. Manag., 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

User-Centric Conversational Recommendation with Multi-Aspect User Modeling.

Shuokai Li, Ruobing Xie, Yongchun Zhu, Xiang Ao, Fuzhen Zhuang, 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

Customized Conversational Recommender Systems.

Shuokai Li, Yongchun Zhu, Ruobing Xie, Zhenwei Tang, Zhao Zhang, Fuzhen Zhuang, Qing He, Hui Xiong

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

MIC: Model-agnostic Integrated Cross-channel Recommender.

Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren

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

Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs.

Yu Zhao, Zhiquan Li, Wei Deng, Ruobing Xie, Qing Li

Knowl. Based Syst., 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

Sememe knowledge computation: a review of recent advances in application and expansion of sememe knowledge bases.

Fanchao Qi, Ruobing Xie, Yuan Zang, Zhiyuan Liu, Maosong Sun

Frontiers Comput. Sci., 2021

MIC: Model-agnostic Integrated Cross-channel Recommenders.

Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren

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

Group based Personalized Search by Integrating Search Behaviour and Friend Network.

Yujia Zhou, Zhicheng Dou, Bingzheng Wei, Ruobing Xie, Ji-Rong Wen

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

Curriculum Disentangled Recommendation with Noisy Multi-feedback.

Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

USER: 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

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

Incorporating Global Information in Local Attention for Knowledge Representation Learning.

Yu Zhao, Han Zhou, Ruobing Xie, Fuzhen Zhuang, Qing Li, Ji Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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

Integrating Image-Based and Knowledge-Based Representation Learning.

Ruobing Xie, Stefan Heinrich, Zhiyuan Liu, Cornelius Weber, Yuan Yao, Stefan Wermter, Maosong Sun

IEEE Trans. Cogn. Dev. Syst., 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

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

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

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

Connecting Embeddings for Knowledge Graph Entity Typing.

Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 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

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

Knowledge Representation Learning: A Quantitative Review.

Yankai Lin, Xu Han, Ruobing Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2018

Cross-lingual Lexical Sememe Prediction.

Fanchao Qi, Yankai Lin, Maosong Sun, Hao Zhu, Ruobing Xie, Zhiyuan Liu

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

2017

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

Ruobing Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2017

Iterative Entity Alignment via Joint Knowledge Embeddings.

Hao Zhu, Ruobing Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Lexical Sememe Prediction via Word Embeddings and Matrix Factorization.

Ruobing Xie, Xingchi Yuan, Zhiyuan Liu, Maosong Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Image-embodied Knowledge Representation Learning.

Ruobing Xie, Zhiyuan Liu, Huanbo Luan, Maosong Sun

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Improved Word Representation Learning with Sememes.

Yilin Niu, Ruobing Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Neural Emoji Recommendation in Dialogue Systems.

Ruobing Xie, Zhiyuan Liu, Rui Yan, Maosong Sun

CoRR, 2016

Image-embodied Knowledge Representation Learning.

Ruobing Xie, Zhiyuan Liu, Tat-Seng Chua, Huan-Bo Luan, Maosong Sun

CoRR, 2016

Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs.

Jiawei Wu, Ruobing Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2016

Crossmodal Language Grounding, Learning, and Teaching.

Stefan Heinrich, Cornelius Weber, Stefan Wermter, Ruobing Xie, Yankai Lin, Zhiyuan Liu

Proceedings of the Workshop on Cognitive Computation: Integrating neural and symbolic approaches 2016 co-located with the 30th Annual Conference on Neural Information Processing Systems (NIPS 2016), 2016

Representation Learning of Knowledge Graphs with Hierarchical Types.

Ruobing Xie, Zhiyuan Liu, Maosong Sun

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Representation Learning of Knowledge Graphs with Entity Descriptions.

Ruobing Xie, Zhiyuan Liu, Jia Jia, Huanbo Luan, Maosong Sun

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016