Representation Learning of Knowledge Graphs with Entity Descriptions. - Ruobing Xie; Zhiyuan Liu 001; Jia Jia 001; Huanbo Luan; Maosong Sun 001 (AAAI, 2016)

Representation Learning of Knowledge Graphs with Hierarchical Types. - Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (IJCAI, 2016)

Crossmodal Language Grounding, Learning, and Teaching. - Stefan Heinrich; Cornelius Weber; Stefan Wermter; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001 (CoCo@NIPS, 2016)

Knowledge Representation via Joint Learning of Sequential Text and Knowledge Graphs. - Jiawei Wu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2016)

Image-embodied Knowledge Representation Learning. - Ruobing Xie; Zhiyuan Liu 001; Tat-Seng Chua; Huan-Bo Luan; Maosong Sun 001 (CoRR, 2016)

Neural Emoji Recommendation in Dialogue Systems. - Ruobing Xie; Zhiyuan Liu 001; Rui Yan 001; Maosong Sun 001 (CoRR, 2016)

Improved Word Representation Learning with Sememes. - Yilin Niu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2017)

Image-embodied Knowledge Representation Learning. - Ruobing Xie; Zhiyuan Liu 001; Huanbo Luan; Maosong Sun 001 (IJCAI, 2017)

Lexical Sememe Prediction via Word Embeddings and Matrix Factorization. - Ruobing Xie; Xingchi Yuan; Zhiyuan Liu 001; Maosong Sun 001 (IJCAI, 2017)

Iterative Entity Alignment via Joint Knowledge Embeddings. - Hao Zhu 006; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (IJCAI, 2017)

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence. - Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2017)

Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning With Confidence. - Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin (AAAI, 2018)

Incorporating Chinese Characters of Words for Lexical Sememe Prediction. - Huiming Jin; Hao Zhu 006; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Fen Lin; Leyu Lin (ACL (1), 2018)

Language Modeling with Sparse Product of Sememe Experts. - Yihong Gu; Jun Yan 012; Hao Zhu 006; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Fen Lin; Leyu Lin (EMNLP, 2018)

Cross-lingual Lexical Sememe Prediction. - Fanchao Qi; Yankai Lin; Maosong Sun 001; Hao Zhu 006; Ruobing Xie; Zhiyuan Liu 001 (EMNLP, 2018)

Knowledge Representation Learning: A Quantitative Review. - Yankai Lin; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2018)

Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data. - Ruidong Wu; Yuan Yao 013; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (EMNLP/IJCNLP (1), 2019)

Neural Snowball for Few-Shot Relation Learning. - Tianyu Gao 001; Xu Han 007; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (AAAI, 2020)

Connecting Embeddings for Knowledge Graph Entity Typing. - Yu Zhao 019; Anxiang Zhang; Ruobing Xie; Kang Liu; Xiaojie Wang (ACL, 2020)

Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation. - Qi Liu 050; Ruobing Xie; Lei Chen; Shukai Liu; Ke Tu; Peng Cui 001; Bo Zhang 056; Leyu Lin (CIKM, 2020)

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification. - Bowen Dong; Yuan Yao 013; Ruobing Xie; Tianyu Gao 001; Xu Han 007; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (COLING, 2020)

Denoising Relation Extraction from Document-level Distant Supervision. - Chaojun Xiao; Yuan Yao 013; Ruobing Xie; Xu Han 007; Zhiyuan Liu 001; Maosong Sun 001; Fen Lin; Leyu Lin (EMNLP (1), 2020)

Deep Feedback Network for Recommendation. - Ruobing Xie; Cheng Ling; Yalong Wang; Rui Wang 068; Feng Xia 006; Leyu Lin (IJCAI, 2020)

Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation. - Ruobing Xie; Zhijie Qiu; Jun Rao; Yi Liu; Bo Zhang 056; Leyu Lin (IJCAI, 2020)

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. - Weilong Chen; Feng Hong 005; Chenghao Huang; Shaoliang Zhang; Rui Wang 068; Ruobing Xie; Feng Xia 006; Leyu Lin; Yanru Zhang; Yan Wang 083 (ACM Multimedia, 2020)

FAQ-Based Question Answering via Knowledge Anchors. - Ruobing Xie; Yanan Lu; Fen Lin; Leyu Lin (NLPCC (1), 2020)

Social Influence Attentive Neural Network for Friend-Enhanced Recommendation. - Yuanfu Lu; Ruobing Xie; Chuan Shi 001; Yuan Fang 001; Wei Wang; Xu Zhang 028; Leyu Lin (ECML/PKDD (4), 2020)

Integrating Image-Based and Knowledge-Based Representation Learning. - Ruobing Xie; Stefan Heinrich; Zhiyuan Liu 001; Cornelius Weber; Yuan Yao 013; Stefan Wermter; Maosong Sun 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

Hierarchical Reinforcement Learning for Integrated Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (AAAI, 2021)

Incorporating Global Information in Local Attention for Knowledge Representation Learning. - Yu Zhao 019; Han Zhou 008; Ruobing Xie; Fuzhen Zhuang; Qing Li 005; Ji Liu 002 (ACL/IJCNLP (Findings), 2021)

Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (CIKM, 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 (CIKM, 2021)

Adversarial Feature Translation for Multi-domain Recommendation. - Xiaobo Hao; Yudan Liu; Ruobing Xie; Kaikai Ge; Linyao Tang; Xu Zhang 028; Leyu Lin (KDD, 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 028; Leyu Lin; Juan Cao 001 (KDD, 2021)

Open Hierarchical Relation Extraction. - Kai Zhang 033; Yuan Yao 013; Ruobing Xie; Xu Han 007; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (NAACL-HLT, 2021)

Curriculum Disentangled Recommendation with Noisy Multi-feedback. - Hong Chen 011; Yudong Chen 003; Xin Wang 019; Ruobing Xie; Rui Wang 068; Feng Xia 006; Wenwu Zhu 001 (NeurIPS, 2021)

MMNet: Multi-granularity Multi-mode Network for Item-Level Share Rate Prediction. - Haomin Yu; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (ECML/PKDD (5), 2021)

Package Recommendation with Intra- and Inter-Package Attention Networks. - Chen Li; Yuanfu Lu; Wei Wang; Chuan Shi 001; Ruobing Xie; Haili Yang; Cheng Yang 002; Xu Zhang 028; Leyu Lin (SIGIR, 2021)

Group based Personalized Search by Integrating Search Behaviour and Friend Network. - Yujia Zhou 002; Zhicheng Dou; Bingzheng Wei; Ruobing Xie; Ji-Rong Wen (SIGIR, 2021)

Transfer-Meta Framework for Cross-domain Recommendation to Cold-Start Users. - Yongchun Zhu; Kaikai Ge; Fuzhen Zhuang; Ruobing Xie; Dongbo Xi; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 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 006; Xu Zhang 028; Leyu Lin; Juan Cao 001 (SIGIR, 2021)

Real-time Relevant Recommendation Suggestion. - Ruobing Xie; Rui Wang 068; Shaoliang Zhang; Zhihong Yang; Feng Xia 006; Leyu Lin (WSDM, 2021)

Personalized Approximate Pareto-Efficient Recommendation. - Ruobing Xie; Yanlei Liu; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WWW, 2021)

UPRec: User-Aware Pre-training for Recommender Systems. - Chaojun Xiao; Ruobing Xie; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Xu Zhang 028; Leyu Lin (CoRR, 2021)

MIC: Model-agnostic Integrated Cross-channel Recommenders. - Yujie Lu; Ping Nie; Ming Zhao; Ruobing Xie; William Yang Wang; Yi Ren (CoRR, 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 001; Maosong Sun 001 (Frontiers Comput. Sci., 2021)

Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect. - Zheni Zeng; Chaojun Xiao; Yuan Yao 013; Ruobing Xie; Zhiyuan Liu 001; Fen Lin; Leyu Lin; Maosong Sun 001 (Frontiers Big Data, 2021)

Learning entity type structured embeddings with trustworthiness on noisy knowledge graphs. - Yu Zhao 019; Zhiquan Li; Wei Deng 003; Ruobing Xie; Qing Li 005 (Knowl. Based Syst., 2021)

Prompt Tuning for Discriminative Pre-trained Language Models. - Yuan Yao 013; Bowen Dong; Ao Zhang; Zhengyan Zhang; Ruobing Xie; Zhiyuan Liu 001; Leyu Lin; Maosong Sun 001; Jianyong Wang 001 (ACL (Findings), 2022)

MIC: Model-agnostic Integrated Cross-channel Recommender. - Ping Nie; Yujie Lu; Shengyu Zhang 001; Ming Zhao; Ruobing Xie; William Yang Wang; Yi Ren (CIKM, 2022)

Multi-granularity Fatigue in Recommendation. - Ruobing Xie; Cheng Ling; Shaoliang Zhang; Feng Xia 006; Leyu Lin (CIKM, 2022)

Multi-view Multi-behavior Contrastive Learning in Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Xin Chen 091; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Qing He 003 (DASFAA (2), 2022)

Contrastive Cross-domain Recommendation in Matching. - Ruobing Xie; Qi Liu 050; Liangdong Wang; Shukai Liu; Bo Zhang 056; Leyu Lin (KDD, 2022)

Customized Conversational Recommender Systems. - Shuokai Li; Yongchun Zhu; Ruobing Xie; Zhenwei Tang; Zhao Zhang 011; Fuzhen Zhuang; Qing He 003; Hui Xiong 001 (ECML/PKDD (2), 2022)

User-Centric Conversational Recommendation with Multi-Aspect User Modeling. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Xiang Ao 001; Fuzhen Zhuang; Qing He 003 (SIGIR, 2022)

Selective Fairness in Recommendation via Prompts. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xiang Ao 001; Xu Zhang 028; Leyu Lin; Qing He 003 (SIGIR, 2022)

Long Short-Term Temporal Meta-learning in Online Recommendation. - Ruobing Xie; Yalong Wang; Rui Wang 068; Yuanfu Lu; Yuanhang Zou; Feng Xia 006; Leyu Lin (WSDM, 2022)

A Peep into the Future: Adversarial Future Encoding in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WSDM, 2022)

Personalized Transfer of User Preferences for Cross-domain Recommendation. - Yongchun Zhu; Zhenwei Tang; Yudan Liu; Fuzhen Zhuang; Ruobing Xie; Xu Zhang 028; Leyu Lin; Qing He 003 (WSDM, 2022)

Personalized Prompts for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (CoRR, 2022)

Improve Transformer Pre-Training with Decoupled Directional Relative Position Encoding and Representation Differentiations. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (CoRR, 2022)

Self-Supervised learning for Conversational Recommendation. - Shuokai Li; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Zhenwei Tang; Wayne Xin Zhao; Qing He 003 (Inf. Process. Manag., 2022)

EIGAT: Incorporating global information in local attention for knowledge representation learning. - Yu Zhao 019; Huali Feng; Han Zhou 008; Yanruo Yang; Xingyan Chen; Ruobing Xie; Fuzhen Zhuang; Qing Li 005 (Knowl. Based Syst., 2022)

Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network. - Ruobing Xie; Qi Liu 050; Shukai Liu; Ziwei Zhang 001; Peng Cui 001; Bo Zhang 056; Leyu Lin (IEEE Trans. Big Data, 2022)

Understanding WeChat User Preferences and "Wow" Diffusion. - Fanjin Zhang; Jie Tang 001; Xueyi Liu; Zhenyu Hou; Yuxiao Dong; Jing Zhang 001; Xiao Liu 036; Ruobing Xie; Kai Zhuang; Xu Zhang 028; Leyu Lin; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Visually Grounded Commonsense Knowledge Acquisition. - Yuan Yao 013; Tianyu Yu 002; Ao Zhang; Mengdi Li; Ruobing Xie; Cornelius Weber; Zhiyuan Liu 001; Hai-Tao Zheng 002; Stefan Wermter; Tat-Seng Chua; Maosong Sun 001 (AAAI, 2023)

Pruning Pre-trained Language Models Without Fine-Tuning. - Ting Jiang; Deqing Wang; Fuzhen Zhuang; Ruobing Xie; Feng Xia 006 (ACL (1), 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 007; Ning Ding 002; Huadong Wang; Ruobing Xie; Fanchao Qi; et al. (ACL (1), 2023)

Recyclable Tuning for Continual Pre-training. - Yujia Qin; Cheng Qian 008; Xu Han 007; Yankai Lin; Huadong Wang; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2023)

Emergent Modularity in Pre-trained Transformers. - Zhengyan Zhang; Zhiyuan Zeng; Yankai Lin; Chaojun Xiao; Xiaozhi Wang; Xu Han 007; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Jie Zhou 016 (ACL (Findings), 2023)

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. - Junjie Huang; Qi Cao; Ruobing Xie; Shaoliang Zhang; Feng Xia 006; Huawei Shen; Xueqi Cheng (DASFAA (2), 2023)

Multi-granularity Item-Based Contrastive Recommendation. - Ruobing Xie; Zhijie Qiu; Bo Zhang 056; Leyu Lin (DASFAA (2), 2023)

Better Pre-Training by Reducing Representation Confusion. - Haojie Zhang; Mingfei Liang; Ruobing Xie; Zhenlong Sun; Bo Zhang 056; Leyu Lin (EACL (Findings), 2023)

Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. - Weize Chen; Xiaoyue Xu; Xu Han 007; Yankai Lin; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (Findings), 2023)

Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. - Chaojun Xiao; Yuqi Luo; Wenbin Zhang; Pengle Zhang; Xu Han 007; Yankai Lin; Zhengyan Zhang; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; Jie Zhou 016 (EMNLP (Findings), 2023)

Future Augmentation with Self-distillation in Recommendation. - Chong Liu; Ruobing Xie; Xiaoyang Liu; Pinzheng Wang; Rongqin Zheng; Lixin Zhang; Juntao Li; Feng Xia 006; Leyu Lin (ECML/PKDD (6), 2023)

Interpretable User Retention Modeling in Recommendation. - Rui Ding 003; Ruobing Xie; Xiaobo Hao; Xiaochun Yang 001; Kaikai Ge; Xu Zhang 028; Jie Zhou 016; Leyu Lin (RecSys, 2023)

Exploring False Hard Negative Sample in Cross-Domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (RecSys, 2023)

Generative Next-Basket Recommendation. - Wenqi Sun; Ruobing Xie; Junjie Zhang 009; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (RecSys, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

Cross-domain Recommendation with Behavioral Importance Perception. - Hong Chen 011; Xin Wang 019; Ruobing Xie; Yuwei Zhou; Wenwu Zhu 001 (WWW, 2023)

Reweighting Clicks with Dwell Time in Recommendation. - Ruobing Xie; Lin Ma; Shaoliang Zhang; Feng Xia 006; Leyu Lin (WWW (Companion Volume), 2023)

A Survey on Causal Inference for Recommendation. - Huishi Luo; Fuzhen Zhuang; Ruobing Xie; Hengshu Zhu; Deqing Wang (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; et al. (CoRR, 2023)

Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. - Chong Liu; Xiaoyang Liu; Ruobing Xie; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chen Qian; Chi-Min Chan; Yujia Qin; Yaxi Lu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; et al. (CoRR, 2023)

Universal Multi-modal Multi-domain Pre-trained Recommendation. - Wenqi Sun; Ruobing Xie; Shuqing Bian; Wayne Xin Zhao; Jie Zhou 016 (CoRR, 2023)

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. - Junjie Huang; Ruobing Xie; Qi Cao; Huawei Shen; Shaoliang Zhang; Feng Xia 006; Xueqi Cheng (Inf. Process. Manag., 2023)

UPRec: User-aware Pre-training for sequential Recommendation. - Chaojun Xiao; Ruobing Xie; Yuan Yao 013; Zhiyuan Liu 001; Maosong Sun 001; Xu Zhang 028; Leyu Lin (AI Open, 2023)

Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing. - Yu Zhao 019; Han Zhou 008; Anxiang Zhang; Ruobing Xie; Qing Li 005; Fuzhen Zhuang (IEEE Trans. Knowl. Data Eng., 2023)

Group-based social diffusion in recommendation. - Xumin Chen; Ruobing Xie; Zhijie Qiu; Peng Cui 001; Ziwei Zhang 001; Shukai Liu; Shiqiang Yang; Bo Zhang 056; Leyu Lin (World Wide Web (WWW), 2023)

Plug-In Diffusion Model for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Zhanhui Kang (AAAI, 2024)

MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. - Xiaozhi Wang; Hao Peng 015; Yong Guan; Kaisheng Zeng; Jianhui Chen; Lei Hou 001; Xu Han 007; Yankai Lin; Zhiyuan Liu 001; Ruobing Xie; Jie Zhou 016; Juanzi Li (ACL (1), 2024)

Content-Based Collaborative Generation for Recommender Systems. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CIKM, 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 001 (LREC/COLING, 2024)

Style Controlling in Recommendation. - Ruobing Xie; Xin Chen 091; Su Yan 004; Jinghan Chen; Xu Zhang 028; Xingwu Sun; Leyu Lin; Zhanhui Kang (DASFAA (7), 2024)

Large Language Models are Zero-Shot Rankers for Recommender Systems. - Yupeng Hou; Junjie Zhang 009; Zihan Lin; Hongyu Lu; Ruobing Xie; Julian J. McAuley; Wayne Xin Zhao (ECIR (2), 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 002; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (Findings), 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Zexu Sun; Bowen Sun; Huimin Chen; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP, 2024)

Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference. - Jianxing Yu; Shiqi Wang 016; Han Yin; Zhenlong Sun; Ruobing Xie; Bo Zhang 056; Yanghui Rao (EMNLP, 2024)

AuriSRec: Adversarial User Intention Learning in Sequential Recommendation. - Junjie Zhang 009; Ruobing Xie; Wenqi Sun; Leyu Lin; Xin Zhao 018; Ji-Rong Wen (EMNLP (Findings), 2024)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chi-Min Chan; Heyang Yu; Yaxi Lu; Yi-Hsin Hung; Chen Qian; Yujia Qin; Xin Cong; et al. (ICLR, 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; et al. (ICLR, 2024)

ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. - Ganqu Cui; Lifan Yuan; Ning Ding 002; Guanming Yao; Bingxiang He; Wei Zhu 016; Yuan Ni; Guotong Xie; Ruobing Xie; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (ICML, 2024)

Exploring the Benefit of Activation Sparsity in Pre-training. - Zhengyan Zhang; Chaojun Xiao; Qiujieli Qin; Yankai Lin; Zhiyuan Zeng; Xu Han 007; Zhiyuan Liu 001; Ruobing Xie; Maosong Sun 001; Jie Zhou 016 (ICML, 2024)

SeeDRec: Sememe-based Diffusion for Sequential Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Yimeng Yang; Xingwu Sun; Zhanhui Kang (IJCAI, 2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (KDD, 2024)

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. - Guipeng Xv; Xinyu Li; Ruobing Xie; Chen Lin 001; Chong Liu; Feng Xia 006; Zhanhui Kang; Leyu Lin (KDD, 2024)

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Yu Wang 002 (ACM Multimedia, 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 (RecSys, 2024)

Towards Empathetic Conversational Recommender Systems. - Xiaoyu Zhang; Ruobing Xie; Yougang Lyu; Xin Xin 003; Pengjie Ren; Mingfei Liang; Bo Zhang 056; Zhanhui Kang; Maarten de Rijke; Zhaochun Ren (RecSys, 2024)

Multimodal Conditioned Diffusion Model for Recommendation. - Haokai Ma; Yimeng Yang; Lei Meng 001; Ruobing Xie; Xiangxu Meng (WWW (Companion Volume), 2024)

AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems. - Junjie Zhang 009; Yupeng Hou; Ruobing Xie; Wenqi Sun; Julian J. McAuley; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (WWW, 2024)

Distillation is All You Need for Practically Using Different Pre-trained Recommendation Models. - Wenqi Sun; Ruobing Xie; Junjie Zhang 009; Wayne Xin Zhao; Leyu Lin; Ji-Rong Wen (CoRR, 2024)

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. - Yiju Guo; Ganqu Cui; Lifan Yuan; Ning Ding 002; Jiexin Wang; Huimin Chen; Bowen Sun; Ruobing Xie; Jie Zhou 016; Yankai Lin; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (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 001 (CoRR, 2024)

Enhanced Generative Recommendation via Content and Collaboration Integration. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CoRR, 2024)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Jia Deng; Boji Shan; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; Bowen Zhou 002; et al. (CoRR, 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (CoRR, 2024)

QAGCF: Graph Collaborative Filtering for Q&A Recommendation. - Changshuo Zhang; Teng Shi; Xiao Zhang 034; Yanping Zheng; Ruobing Xie; Qi Liu 050; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation. - Changshuo Zhang; Teng Shi; Xiao Zhang 034; Qi Liu 050; Ruobing Xie; Jun Xu 001; Ji-Rong Wen (CoRR, 2024)

HMoE: Heterogeneous Mixture of Experts for Language Modeling. - An Wang; Xingwu Sun; Ruobing Xie; Shuaipeng Li; Jiaqi Zhu 004; Zhen Yang; Pinxue Zhao; J. N. Han; Zhanhui Kang; Di Wang; Naoaki Okazaki; Cheng-Zhong Xu 001 (CoRR, 2024)

Negative Sampling in Recommendation: A Survey and Future Directions. - Haokai Ma; Ruobing Xie; Lei Meng 001; Fuli Feng; Xiaoyu Du 002; Xingwu Sun; Zhanhui Kang; Xiangxu Meng (CoRR, 2024)

RosePO: Aligning LLM-based Recommenders with Human Values. - Jiayi Liao; Xiangnan He 001; Ruobing Xie; Jiancan Wu; Yancheng Yuan; Xingwu Sun; Zhanhui Kang; Xiang Wang 010 (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)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

More Expressive Attention with Negative Weights. - Ang Lv; Ruobing Xie; Shuaipeng Li; Jiayi Liao; Xingwu Sun; Zhanhui Kang; Di Wang; Rui Yan 001 (CoRR, 2024)

DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (CoRR, 2024)

Hyperbolic Pre-Trained Language Model. - Weize Chen; Xu Han 007; Yankai Lin; Kaichen He; Ruobing Xie; Jie Zhou 016; Zhiyuan Liu 001; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Group-to-group recommendation with neural graph matching. - Chunchen Wang; Wei Wang; Cheng Yang 002; Chuan Shi 001; Ruobing Xie; Yuanfu Lu; Haili Yang; Xu Zhang 028 (World Wide Web (WWW), 2024)

Personalized Prompt for Sequential Recommendation. - Yiqing Wu; Ruobing Xie; Yongchun Zhu; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2024)

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. - Wei Chen 061; Yiqing Wu; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He; Ruobing Xie; Feng Xia 006 (ACM Trans. Inf. Syst., 2024)

Triple Sequence Learning for Cross-domain Recommendation. - Haokai Ma; Ruobing Xie; Lei Meng 001; Xin Chen 091; Xu Zhang 028; Leyu Lin; Jie Zhou 016 (ACM Trans. Inf. Syst., 2024)

CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. - Weilong Chen; Shaoliang Zhang; Ruobing Xie; Feng Xia 006; Leyu Lin; Xinran Zhang; Yan Wang 083; Yanru Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant". - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (AAAI, 2025)

Curriculum Conditioned Diffusion for Multimodal Recommendation. - Yimeng Yang; Haokai Ma; Lei Meng 001; Shuo Xu; Ruobing Xie; Xiangxu Meng (AAAI, 2025)

Fusing Highly Specialized Language Models for Comprehensive Expertise. - Ning Ding 002; Yulin Chen; Ganqu Cui; Xingtai Lv; Weilin Zhao; Kaiyan Zhang; Ruobing Xie; Bowen Zhou 002; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2025)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization. - Yuhan Fu; Ruobing Xie; Xingwu Sun; Zhanhui Kang; Xirong Li 001 (ACL (Findings), 2025)

Exploring Forgetting in Large Language Model Pre-Training. - Chonghua Liao; Ruobing Xie; Xingwu Sun; Haowen Sun; Zhanhui Kang (ACL (1), 2025)

PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset. - Jiazhen Liu; Yuhan Fu; Ruobing Xie; Runquan Xie; Xingwu Sun; Fengzong Lian; Zhanhui Kang; Xirong Li 001 (CVPR, 2025)

A Pre-trained Plug-in Mixture-of-LoRAs Model for Transferable Sequential Recommendation. - Wenqi Sun; Ruobing Xie; Junjie Zhang 009; Zitian Guo; Wayne Xin Zhao; Zhanhui Kang; Ji-Rong Wen (ICASSP, 2025)

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 002; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Advancing LLM Reasoning Generalists with Preference Trees. - Lifan Yuan; Ganqu Cui; Hanbin Wang; Ning Ding 002; Xingyao Wang 002; Boji Shan; Zeyuan Liu; Jia Deng; Huimin Chen; Ruobing Xie; Yankai Lin; Zhenghao Liu 001; et al. (ICLR, 2025)

Continuous Speech Tokenizer in Text To Speech. - Yixing Li; Ruobing Xie; Xingwu Sun; Yu Cheng; Zhanhui Kang (NAACL (Findings), 2025)

Language Models "Grok" to Copy. - Ang Lv; Ruobing Xie; Xingwu Sun; Zhanhui Kang; Rui Yan 001 (NAACL (Short Papers), 2025)

QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Yu Wang 002 (NAACL (Long Papers), 2025)

Multi-Grained Patch Training for Efficient LLM-based Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (SIGIR, 2025)

Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. - Yidan Wang; Xuri Ge; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Zhumin Chen; Jun Ma 001; Xin Xin 003 (WSDM, 2025)

Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation. - Junjie Zhang 009; Ruobing Xie; Hongyu Lu; Wenqi Sun; Wayne Xin Zhao; Yu Chen; Zhanhui Kang (WWW, 2025)

Scaling Laws for Floating Point Quantization Training. - Xingwu Sun; Shuaipeng Li; Ruobing Xie; Weidong Han 006; Kan Wu; Zhen Yang; Yixing Li; An Wang; Shuai Li; Jinbao Xue; Yu Cheng; Yangyu Tao; et al. (CoRR, 2025)

Autonomy-of-Experts Models. - Ang Lv; Ruobing Xie; Yining Qian; Songhao Wu; Xingwu Sun; Zhanhui Kang; Di Wang; Rui Yan 001 (CoRR, 2025)

PatchRec: Multi-Grained Patching for Efficient LLM-based Sequential Recommendation. - Jiayi Liao; Ruobing Xie; Sihang Li 002; Xiang Wang 010; Xingwu Sun; Zhanhui Kang; Xiangnan He 001 (CoRR, 2025)

TransMamba: Flexibly Switching between Transformer and Mamba. - Yixing Li; Ruobing Xie; Zhen Yang; Xingwu Sun; Shuaipeng Li; Weidong Han 006; Zhanhui Kang; Yu Cheng; Cheng-Zhong Xu 001; Di Wang; Jie Jiang (CoRR, 2025)

Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language. - Zekai Qu; Ruobing Xie; Chaojun Xiao; Yuan Yao 013; Zhiyuan Liu 001; Fengzong Lian; Zhanhui Kang; Jie Zhou 016 (ACM Trans. Inf. Syst., 2025)

Large Language Model Empowered Recommendation Meets All-domain Continual Pre-Training. - Haokai Ma; Yunshan Ma; Ruobing Xie; Lei Meng 001; Jialie Shen 001; Xingwu Sun; Zhanhui Kang; Tat-Seng Chua (CoRR, 2025)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)

The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason. - Ang Lv; Ruobing Xie; Xingwu Sun; Zhanhui Kang; Rui Yan 001 (CoRR, 2025)

The Security Threat of Compressed Projectors in Large Vision-Language Models. - Yudong Zhang 008; Ruobing Xie; Xingwu Sun; Jiansheng Chen; Zhanhui Kang; Di Wang; Yu Wang 002 (CoRR, 2025)

Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs. - Yudong Zhang 008; Ruobing Xie; Yiqing Huang; Jiansheng Chen; Xingwu Sun; Zhanhui Kang; Di Wang; Yu Wang 002 (CoRR, 2025)

Flexible Realignment of Language Models. - Wenhong Zhu; Ruobing Xie; Wei Zhang 001; Rui Wang 068 (CoRR, 2025)

FairDgcl: Fairness-Aware Recommendation With Dynamic Graph Contrastive Learning. - Wei Chen 061; Meng Yuan; Zhao Zhang 011; Ruobing Xie; Fuzhen Zhuang; Deqing Wang; Rui Liu 007 (IEEE Trans. Knowl. Data Eng., 2025)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2025)

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. - Junjie Zhang 009; Ruobing Xie; Yupeng Hou; Xin Zhao 018; Leyu Lin; Ji-Rong Wen (ACM Trans. Inf. Syst., 2025)