Ruiming Tang

74 papers at tracked venues · 50 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9224-2431 ↗Homepage ↗

Venues

ACL ×15 WWW ×14 CIKM ×10 SIGKDD ×7 EMNLP ×5 NeurIPS ×5 RecSys ×4 WSDM ×4 AAAI ×3 ICLR ×3 SIGIR ×3 ECML-PKDD ×1

Frequent coauthors

Weinan Zhang

×22

Yong Yu

×21

Bo Chen

×20

Huifeng Guo

×19

Yichao Wang

×18

Yasheng Wang

×17

Jianghao Lin

×16

Xiangyu Zhao

×14

Weiwen Liu

×14

Xinyi Dai

×13

Xiangyang Li

×12

Pengyue Jia

×10

Papers

DARL: Encouraging Diverse Answers for General Reasoning without Verifiers
ACL 2026 ·
Chongxuan Huang
,
Lei Lin
,
Xiaodong Shi
,
Wenping Hu
, Ruiming Tang
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing
ACL 2026 ·
Qian Cao
,
Yahui Liu
,
Wei Bi
,
Yi Zhao
,
Ruihua Song
,
Xiting Wang
, Ruiming Tang,
Guorui Zhou
,
Han Li
DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing
ACL 2026 ·
Hongzhi Zhang
,
Yuanze Hu
,
Tinghai Zhang
,
Jia Fu
,
Tao Wang
,
Junwei Jing
,
Zhaoxin Fan
,
Wei Bi
, Ruiming Tang,
Han Li
,
Guorui Zhou
,
Kun Gai
DiffGRM: Diffusion-based Generative Recommendation Model
WWW 2026 ·
Zhao Liu
,
Yichen Zhu
,
Yiqing Yang
,
Xiao Lv
,
Guoping Tang
,
Rui Huang
,
Qiang Luo
, Ruiming Tang,
Guorui Zhou
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
ACL 2026 ·
Zhenpeng Su
,
Leiyu Pan
,
Minxuan Lv
,
Tiehua Mei
,
Zijia Lin
,
Yuntao Li
,
Wenping Hu
, Ruiming Tang,
Kun Gai
,
Guorui Zhou
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing
SIGKDD 2026 ·
Wenlin Zhang
,
Xiangyang Li
,
Qiyuan Ge
,
Kuicai Dong
,
Pengyue Jia
,
Xiaopeng Li
,
Zijian Zhang
,
Maolin Wang
,
Yichao Wang
,
Huifeng Guo
, Ruiming Tang,
Xiangyu Zhao
GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework
WWW 2026 ·
Yijia Sun
,
Shanshan Huang
,
Zhiyuan Guan
,
Qiang Luo
, Ruiming Tang,
Kun Gai
,
Guorui Zhou
MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
SIGKDD 2026 ·
Shihao Cai
,
Chongming Gao
,
Haoyan Liu
,
Wentao Shi
,
Jianshan Sun
, Ruiming Tang,
Fuli Feng
Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation
SIGIR 2026 ·
Yunjia Xi
,
Menghui Zhu
,
Jianghao Lin
,
Bo Chen
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service
WSDM 2026 ·
Zhipeng Wei
,
Kuo Cai
,
Junda She
,
Jie Chen
,
Minghao Chen
,
Yang Zeng
,
Qiang Luo
,
Wencong Zeng
, Ruiming Tang,
Kun Gai
,
Guorui Zhou
OneRec-Think: In-Text Reasoning for Generative Recommendation
ACL 2026 ·
Zhanyu Liu
,
Shiyao Wang
,
Xingmei Wang
,
Rongzhou Zhang
,
Jiaxin Deng
,
Honghui Bao
,
Jinghao Zhang
,
Wuchao Li
,
Penggei Zheng
,
Xiangyu Wu
,
Yifei Hu
,
Qigen Hu
,
Xinchen Luo
,
Lejian Ren
,
Zixing Zhang
,
Qianqian Wang
,
Kuo Cai
,
Yunfan Wu
,
Hongtao Cheng
,
Zexuan Cheng
,
Lu Ren
,
Huanjie Wang
,
Yi Su
, Ruiming Tang,
Kun Gai
,
Guorui Zhou
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
AAAI 2026 ·
Min Hou
,
Chenxi Bai
,
Le Wu
,
Hao Liu
,
Kai Zhang
,
Weiwen Liu
,
Richang Hong
, Ruiming Tang,
Meng Wang
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning
AAAI 2026 ·
Xingshan Zeng
,
Weiwen Liu
,
Xu Huang
,
Zezhong Wang
,
Lingzhi Wang
,
Liangyou Li
,
Yasheng Wang
,
Lifeng Shang
,
Xin Jiang
, Ruiming Tang,
Qun Liu
Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
ACL 2026 ·
Zhiyang Zhang
,
Junda She
,
Kuo Cai
,
Bo Chen
,
Shiyao Wang
,
Xinchen Luo
,
Qiang Luo
, Ruiming Tang,
Han Li
,
Kun Gai
,
Guorui Zhou
Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems
SIGIR 2025 ·
Renting Rui
,
Yunjia Xi
,
Weiwen Liu
,
Jianghao Lin
,
Bo Chen
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger
ACL 2025 ·
Wenjun Li
,
Dexun Li
,
Kuicai Dong
,
Cong Zhang
,
Hao Zhang
,
Weiwen Liu
,
Yasheng Wang
, Ruiming Tang,
Yong Liu
AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing
ECML-PKDD 2025 ·
Lingyue Fu
,
Ting Long
,
Jianghao Lin
,
Wei Xia
,
Xinyi Dai
, Ruiming Tang,
Yasheng Wang
,
Weinan Zhang
,
Yong Yu
An Automatic Graph Construction Framework based on Large Language Models for Recommendation
SIGKDD 2025 ·
Rong Shan
,
Jianghao Lin
,
Chenxu Zhu
,
Bo Chen
,
Menghui Zhu
,
Kangning Zhang
,
Jieming Zhu
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering
NeurIPS 2025 ·
Kuicai Dong
,
Yujing Chang
,
Shijie Huang
,
Yasheng Wang
, Ruiming Tang,
Yong Liu
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation
ACL 2025 ·
Kounianhua Du
,
Hanjing Wang
,
Jianxing Liu
,
Jizheng Chen
,
Xinyi Dai
,
Yasheng Wang
, Ruiming Tang,
Yong Yu
,
Jun Wang
,
Weinan Zhang
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation
ACL 2025 ·
Pengyue Jia
,
Derong Xu
,
Xiaopeng Li
,
Zhaocheng Du
,
Xiangyang Li
,
Yichao Wang
,
Yuhao Wang
,
Qidong Liu
,
Maolin Wang
,
Huifeng Guo
, Ruiming Tang,
Xiangyu Zhao
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
ICLR 2025 ·
Yuxin Jiang
,
Bo Huang
,
Yufei Wang
,
Xingshan Zeng
,
Liangyou Li
,
Yasheng Wang
,
Xin Jiang
,
Lifeng Shang
, Ruiming Tang,
Wei Wang
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension
NeurIPS 2025 ·
Rui Li
,
Zeyu Zhang
,
Xiaohe Bo
,
Zihang Tian
,
Xu Chen
,
Quanyu Dai
,
Zhenhua Dong
, Ruiming Tang
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models
ACL 2025 ·
Xiangyang Li
,
Kuicai Dong
,
Yi Quan Lee
,
Wei Xia
,
Hao Zhang
,
Xinyi Dai
,
Yasheng Wang
, Ruiming Tang
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation
ACL 2025 ·
Qingyao Li
,
Xinyi Dai
,
Xiangyang Li
,
Weinan Zhang
,
Yasheng Wang
, Ruiming Tang,
Yong Yu
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
ACL 2025 ·
Qiyuan Zhang
,
Yufei Wang
,
Yuxin Jiang
,
Liangyou Li
,
Chuhan Wu
,
Yasheng Wang
,
Xin Jiang
,
Lifeng Shang
, Ruiming Tang,
Fuyuan Lyu
,
Chen Ma
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation
ACL 2025 ·
Jizheng Chen
,
Kounianhua Du
,
Xinyi Dai
,
Weiming Zhang
,
Xihuai Wang
,
Yasheng Wang
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
SIGIR 2025 ·
Yunjia Xi
,
Hangyu Wang
,
Bo Chen
,
Jianghao Lin
,
Menghui Zhu
,
Weiwen Liu
, Ruiming Tang,
Zhewei Wei
,
Weinan Zhang
,
Yong Yu
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
WWW 2025 ·
Yufei Ye
,
Wei Guo
,
Jin Yao Chin
,
Hao Wang
,
Hong Zhu
,
Xi Lin
,
Yuyang Ye
,
Yong Liu
, Ruiming Tang,
Defu Lian
,
Enhong Chen
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
WWW 2025 ·
Hao Wang
,
Wei Guo
,
Luankang Zhang
,
Jin Yao Chin
,
Yufei Ye
,
Huifeng Guo
,
Yong Liu
,
Defu Lian
, Ruiming Tang,
Enhong Chen
Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
EMNLP 2025 ·
Xiangyang Li
,
Xiaopeng Li
,
Kuicai Dong
,
Quanhu Zhang
,
Rongju Ruan
,
Xinyi Dai
,
Yasheng Wang
, Ruiming Tang
HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation
WWW 2025 ·
Xu Huang
,
Xiaolong Chen
,
Yichao Wang
,
Weiwen Liu
,
Yang Yang
,
Xingmei Wang
,
Defu Lian
, Ruiming Tang
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025 ·
Yuxin Jiang
,
Yufei Wang
,
Chuhan Wu
,
Xinyi Dai
,
Yan Xu
,
Weinan Gan
,
Yasheng Wang
,
Xin Jiang
,
Lifeng Shang
, Ruiming Tang,
Wei Wang
Joint Modeling in Deep Recommender Systems
WWW 2025 ·
Pengyue Jia
,
Jingtong Gao
,
Yejing Wang
,
Yuhao Wang
,
Xiaopeng Li
,
Qidong Liu
,
Yichao Wang
,
Bo Chen
,
Huifeng Guo
, Ruiming Tang
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis
CIKM 2025 ·
Weiming Zhang
,
Lingyue Fu
,
Qingyao Li
,
Kounianhua Du
,
Jianghao Lin
,
Jingwei Yu
,
Wei Xia
,
Weinan Zhang
, Ruiming Tang,
Yong Yu
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
WWW 2025 ·
Jingtong Gao
,
Bo Chen
,
Xiangyu Zhao
,
Weiwen Liu
,
Xiangyang Li
,
Yichao Wang
,
Wanyu Wang
,
Huifeng Guo
, Ruiming Tang
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models
SIGKDD 2025 · Ruiming Tang,
Chenxu Zhu
,
Bo Chen
,
Weipeng Zhang
,
Menghui Zhu
,
Xinyi Dai
,
Huifeng Guo
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
SIGKDD 2025 ·
Yingyi Zhang
,
Pengyue Jia
,
Xianneng Li
,
Derong Xu
,
Maolin Wang
,
Yichao Wang
,
Zhaocheng Du
,
Huifeng Guo
,
Yong Liu
, Ruiming Tang,
Xiangyu Zhao
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents
EMNLP 2025 ·
Kuicai Dong
,
Yujing Chang
,
Derrick-Goh-Xin Deik
,
Dexun Li
, Ruiming Tang,
Yong Liu
MTRec: Learning to Align with User Preferences via Mental Reward Models
NeurIPS 2025 ·
Mengchen Zhao
,
Yifan Gao
,
Yaqing Hou
,
Xiangyang Li
,
Pengjie Gu
,
Zhenhua Dong
, Ruiming Tang,
Yi Cai
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging
EMNLP 2025 ·
Weiming Zhang
,
Qingyao Li
,
Xinyi Dai
,
Jizheng Chen
,
Kounianhua Du
,
Weiwen Liu
,
Yasheng Wang
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
NeurIPS 2025 ·
Tingjia Shen
,
Hao Wang
,
Chuhan Wu
,
Jin Yao Chin
,
Wei Guo
,
Yong Liu
,
Huifeng Guo
,
Defu Lian
, Ruiming Tang,
Enhong Chen
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
NeurIPS 2025 ·
Wenlin Zhang
,
Xiangyang Li
,
Kuicai Dong
,
Yichao Wang
,
Pengyue Jia
,
Xiaopeng Li
,
Yingyi Zhang
,
Derong Xu
,
Zhaocheng Du
,
Huifeng Guo
, Ruiming Tang,
Xiangyu Zhao
Prompt Tuning as User Inherent Profile Inference Machine
CIKM 2025 ·
Yusheng Lu
,
Zhaocheng Du
,
Xiangyang Li
,
Pengyue Jia
,
Yejing Wang
,
Weiwen Liu
,
Yichao Wang
,
Huifeng Guo
, Ruiming Tang,
Zhenhua Dong
,
Yongrui Duan
,
Xiangyu Zhao
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
EMNLP 2025 ·
Sashuai Zhou
,
Weinan Gan
,
Qijiong Liu
,
Ke Lei
,
Jieming Zhu
,
Hai Huang
,
Yan Xia
, Ruiming Tang,
Zhenhua Dong
,
Zhou Zhao
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation
EMNLP 2025 ·
Qingyao Li
,
Wei Xia
,
Xinyi Dai
,
Kounianhua Du
,
Weiwen Liu
,
Yasheng Wang
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
ICLR 2025 ·
Qiyuan Zhang
,
Yufei Wang
,
Tiezheng Yu
,
Yuxin Jiang
,
Chuhan Wu
,
Liangyou Li
,
Yasheng Wang
,
Xin Jiang
,
Lifeng Shang
, Ruiming Tang,
Fuyuan Lyu
,
Chen Ma
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
CIKM 2025 ·
Pengyue Jia
,
Zhaocheng Du
,
Yichao Wang
,
Xiangyu Zhao
,
Xiaopeng Li
,
Yuhao Wang
,
Qidong Liu
,
Huifeng Guo
, Ruiming Tang
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
WWW 2025 ·
Jingtong Gao
,
Zhaocheng Du
,
Xiaopeng Li
,
Yichao Wang
,
Xiangyang Li
,
Huifeng Guo
, Ruiming Tang,
Xiangyu Zhao
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
CIKM 2025 ·
Xiaopeng Li
,
Jingtong Gao
,
Pengyue Jia
,
Xiangyu Zhao
,
Yichao Wang
,
Wanyu Wang
,
Yejing Wang
,
Yuhao Wang
,
Huifeng Guo
, Ruiming Tang
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025 ·
Weiwen Liu
,
Xu Huang
,
Xingshan Zeng
,
Xinlong Hao
,
Shuai Yu
,
Dexun Li
,
Shuai Wang
,
Weinan Gan
,
Zhengying Liu
,
Yuanqing Yu
,
Zezhong Wang
,
Yuxian Wang
,
Wu Ning
,
Yutai Hou
,
Bin Wang
,
Chuhan Wu
,
Xinzhi Wang
,
Yong Liu
,
Yasheng Wang
,
Duyu Tang
,
Dandan Tu
,
Lifeng Shang
,
Xin Jiang
, Ruiming Tang,
Defu Lian
,
Qun Liu
,
Enhong Chen
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising
RecSys 2024 ·
Yang Yang
,
Bo Chen
,
Chenxu Zhu
,
Menghui Zhu
,
Xinyi Dai
,
Huifeng Guo
,
Muyu Zhang
,
Zhenhua Dong
, Ruiming Tang
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
WWW 2024 ·
Jianghao Lin
,
Bo Chen
,
Hangyu Wang
,
Yunjia Xi
,
Yanru Qu
,
Xinyi Dai
,
Kangning Zhang
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations
AAAI 2024 ·
Pengyue Jia
,
Yichao Wang
,
Shanru Lin
,
Xiaopeng Li
,
Xiangyu Zhao
,
Huifeng Guo
, Ruiming Tang
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
WSDM 2024 ·
Yuhao Wang
,
Ziru Liu
,
Yichao Wang
,
Xiangyu Zhao
,
Bo Chen
,
Huifeng Guo
, Ruiming Tang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
SIGKDD 2024 ·
Kounianhua Du
,
Jizheng Chen
,
Jianghao Lin
,
Yunjia Xi
,
Hangyu Wang
,
Xinyi Dai
,
Bo Chen
, Ruiming Tang,
Weinan Zhang
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation
CIKM 2024 ·
Jizheng Chen
,
Kounianhua Du
,
Jianghao Lin
,
Bo Chen
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
SIGKDD 2024 ·
Pengyue Jia
,
Yejing Wang
,
Zhaocheng Du
,
Xiangyu Zhao
,
Yichao Wang
,
Bo Chen
,
Wanyu Wang
,
Huifeng Guo
, Ruiming Tang
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction
RecSys 2024 ·
Hangyu Wang
,
Jianghao Lin
,
Xiangyang Li
,
Bo Chen
,
Chenxu Zhu
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning
WWW 2024 ·
Yifan Liu
,
Wei Xia
,
Weiwen Liu
,
Menghui Zhu
,
Weinan Zhang
, Ruiming Tang,
Yong Yu
HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations
CIKM 2024 ·
Jingtong Gao
,
Bo Chen
,
Menghui Zhu
,
Xiangyu Zhao
,
Xiaopeng Li
,
Yuhao Wang
,
Yichao Wang
,
Huifeng Guo
, Ruiming Tang
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
WSDM 2024 ·
Kexin Zhang
,
Yichao Wang
,
Xiu Li
, Ruiming Tang,
Rui Zhang
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
CIKM 2024 ·
Yuhao Wang
,
Yichao Wang
,
Zichuan Fu
,
Xiangyang Li
,
Wanyu Wang
,
Yuyang Ye
,
Xiangyu Zhao
,
Huifeng Guo
, Ruiming Tang
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024 ·
Yuxin Jiang
,
Yufei Wang
,
Chuhan Wu
,
Wanjun Zhong
,
Xingshan Zeng
,
Jiahui Gao
,
Liangyou Li
,
Xin Jiang
,
Lifeng Shang
, Ruiming Tang,
Qun Liu
,
Wei Wang
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity
WWW 2024 ·
Zhaocheng Du
,
Junhao Chen
,
Qinglin Jia
,
Chuhan Wu
,
Jieming Zhu
,
Zhenhua Dong
, Ruiming Tang
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
WWW 2024 ·
Jiachen Zhu
,
Yichao Wang
,
Jianghao Lin
,
Jiarui Qin
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models
CIKM 2024 ·
Yunjia Xi
,
Weiwen Liu
,
Jianghao Lin
,
Bo Chen
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space
RecSys 2024 ·
Yu Liu
,
Qinglin Jia
,
Shuting Shi
,
Chuhan Wu
,
Zhaocheng Du
,
Zheng Xie
, Ruiming Tang,
Muyu Zhang
,
Ming Li
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
WWW 2024 ·
Jianghao Lin
,
Rong Shan
,
Chenxu Zhu
,
Kounianhua Du
,
Bo Chen
,
Shigang Quan
, Ruiming Tang,
Yong Yu
,
Weinan Zhang
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
WWW 2024 ·
Junjie Huang
,
Guohao Cai
,
Jieming Zhu
,
Zhenhua Dong
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
CIKM 2024 ·
Huanshuo Liu
,
Bo Chen
,
Menghui Zhu
,
Jianghao Lin
,
Jiarui Qin
,
Hao Zhang
,
Yang Yang
, Ruiming Tang
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model
CIKM 2024 ·
Lingyue Fu
,
Hao Guan
,
Kounianhua Du
,
Jianghao Lin
,
Wei Xia
,
Weinan Zhang
, Ruiming Tang,
Yasheng Wang
,
Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
RecSys 2024 ·
Yunjia Xi
,
Weiwen Liu
,
Jianghao Lin
,
Xiaoling Cai
,
Hong Zhu
,
Jieming Zhu
,
Bo Chen
, Ruiming Tang,
Weinan Zhang
,
Yong Yu
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation
WSDM 2024 ·
Hengchang Hu
,
Wei Guo
,
Xu Liu
,
Yong Liu
, Ruiming Tang,
Rui Zhang
,
Min-Yen Kan