Ruiming Tang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 258

Top Venues

Publications

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR (2024)
Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. CoRR (2024)
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. CoRR (2024)
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. WWW (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
Learning to Edit: Aligning LLMs with Knowledge Editing. CoRR (2024)
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
Understanding the planning of LLM agents: A survey. CoRR (2024)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. 66 (1) (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
Learning to Edit: Aligning LLMs with Knowledge Editing. ACL (1) (2024)
Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. CoRR (2024)
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. CoRR (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR (2024)
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. CoRR (2024)
Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu
Aligning Crowd Feedback via Distributional Preference Reward Modeling. CoRR (2024)
Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. WSDM (2024)
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
A Comprehensive Survey on Automated Machine Learning for Recommendations. Trans. Recomm. Syst. 2 (2) (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. CoRR (2024)
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. CoRR (2024)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) (2024)
Hao Zhang, Yuyang Zhang, Xiaoguang Li, Wenxuan Shi, Haonan Xu, Huanshuo Liu, Yasheng Wang, Lifeng Shang, Qun Liu, Yong Liu, Ruiming Tang
Evaluating the External and Parametric Knowledge Fusion of Large Language Models. CoRR (2024)
Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. 56 (5) (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. KDD (2024)
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. AAAI (2024)
Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR (2024)
Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR (2024)
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. CoRR (2024)
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
LLM-enhanced Reranking in Recommender Systems. CoRR (2024)
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. CoRR (2024)
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
Active Explainable Recommendation with Limited Labeling Budgets. ICASSP (2024)
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM (2024)
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. CoRR (2024)
Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. WSDM (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. WWW (2024)
Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. CoRR (2024)
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. KDD (2024)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. WWW (Companion Volume) (2024)
Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR (2024)
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. ACM Trans. Inf. Syst. 42 (1) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CoRR (2024)
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. CoRR (2024)
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR (2024)
Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
Large Language Models Make Sample-Efficient Recommender Systems. CoRR (2024)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) (2024)
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. CoRR (2024)
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR (2024)
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. CoRR (2024)
Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR (2024)
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
Single-shot Feature Selection for Multi-task Recommendations. SIGIR (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI (2023)
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR (2023)
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
AutoML for Deep Recommender Systems: Fundamentals and Advances. WSDM (2023)
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
Ten Challenges in Industrial Recommender Systems. CoRR (2023)
Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. WWW (Companion Volume) (2023)
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM (2023)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41 (4) (2023)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. CoRR (2023)
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
FINAL: Factorized Interaction Layer for CTR Prediction. SIGIR (2023)
Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. CoRR (2023)
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. CoRR (2023)
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
A Bird's-eye View of Reranking: From List Level to Page Level. WSDM (2023)
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
Optimal Transport for Treatment Effect Estimation. NeurIPS (2023)
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CIKM (2023)
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. SIGIR (2023)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. CoRR (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR (2023)
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. ICDE (2023)
Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CoRR (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. AAAI (2023)
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. CoRR (2023)
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
A Survey on User Behavior Modeling in Recommender Systems. IJCAI (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. CoRR (2023)
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD (2023)
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM (2023)
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
Diffusion Augmentation for Sequential Recommendation. CoRR (2023)
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR (2023)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) (2023)
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
AutoTransfer: Instance Transfer for Cross-Domain Recommendations. SIGIR (2023)
Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. RecSys (2023)
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
Towards Automated Negative Sampling in Implicit Recommendation. CoRR (2023)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR (2023)
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR (2023)
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. CIKM (2023)
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. NeurIPS (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR (2023)
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. CoRR (2023)
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. CoRR (2023)
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW (2023)
Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
DFFM: Domain Facilitated Feature Modeling for CTR Prediction. CIKM (2023)
Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
Hierarchical Projection Enhanced Multi-behavior Recommendation. KDD (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. KDD (2023)
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
Dynamically Expandable Graph Convolution for Streaming Recommendation. WWW (2023)
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM (2023)
Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys (2023)
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. KDD (2023)

Ruiming Tang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ruiming Tang