Ruiming Tang

428 papers A* 78A 54B 2Misc 1Journal 236Unranked 56
YearRankTypeTitle / Venue / Authors
2026 J jnl
ALPBench: A Benchmark for Attribution-level Long-term Personal Behavior Understanding.
CoRR
Lu Ren, Junda She, Xinchen Luo, Tao Wang, Xin Ye, Xu Zhang, Muxuan Wang, Xiao Yang, Chenguang Wang, Fei Xie, Yiwei Zhou, Danjun Wu, Guodong Zhang, Yifei Hu, Guoying Zheng, Shujie Yang, Xingmei Wang, Shiyao Wang, Yukun Zhou, Fan Yang, Size Li, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Kun Gai
2026 J jnl
CAPTS: Channel-Aware, Preference-Aligned Trigger Selection for Multi-Channel Item-to-Item Retrieval.
CoRR
Xiaoyou Zhou, Yuqi Liu, Zhao Liu, Xiao Lv, Bo Chen, Ruiming Tang, Guorui Zhou
2026 J jnl
CTRL: Connect Collaborative and Language Model for CTR Prediction.
Trans. Recomm. Syst.
Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang
2026 J jnl
DARL: Encouraging Diverse Answers for General Reasoning without Verifiers.
CoRR
Chongxuan Huang, Lei Lin, Xiaodong Shi, Wenping Hu, Ruiming Tang
2026 J jnl
DIET: Learning to Distill Dataset Continually for Recommender Systems.
CoRR
Jiaqing Zhang, Hao Wang, Mingjia Yin, Bo Chen, Qinglin Jia, Rui Zhou, Ruiming Tang, Chaoyi Ma, Enhong Chen
2026 J jnl
DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing.
CoRR
Qian Cao, Yahui Liu, Wei Bi, Yi Zhao, Ruihua Song, Xiting Wang, Ruiming Tang, Guorui Zhou, Han Li
2026 J jnl
DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing.
CoRR
Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Qi Wang, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai
2026 A* conf
DiffGRM: Diffusion-based Generative Recommendation Model.
WWW
Zhao Liu, Yichen Zhu, Yiqing Yang, Xiao Lv, Guoping Tang, Rui Huang, Qiang Luo, Ruiming Tang, Guorui Zhou
2026 J jnl
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.
Trans. Recomm. Syst.
Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026 — conf
Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.
KDD (1)
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 J jnl
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.
CoRR
Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2026 J jnl
From Tags to Trees: Structuring Fine-Grained Knowledge for Controllable Data Selection in LLM Instruction Tuning.
CoRR
Zihan Niu, Wenping Hu, Junmin Chen, Xiyue Wang, Tong Xu, Ruiming Tang
2026 J jnl
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
Trans. Recomm. Syst.
Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2026 J jnl
GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder.
CoRR
Yu Zhou, Chengcheng Guo, Kuo Cai, Ji Liu, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou
2026 J jnl
GISA: A Benchmark for General Information-Seeking Assistant.
CoRR
Yutao Zhu, Xingshuo Zhang, Maosen Zhang, Jiajie Jin, Liancheng Zhang, Xiaoshuai Song, Kangzhi Zhao, Wencong Zeng, Ruiming Tang, Han Li, Ji-Rong Wen, Zhicheng Dou
2026 J jnl
GLASS: A Generative Recommender for Long-sequence Modeling via SID-Tier and Semantic Search.
CoRR
Shiteng Cao, Junda She, Ji Liu, Bing Zeng, Chengcheng Guo, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Zhiheng Li, Cheng Yang
2026 A* conf
GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework.
WWW
Yijia Sun, Shanshan Huang, ZhiYuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou
2026 J jnl
Improving Music Recommendation With Fine-Grained Content-Based Behavior Retrieval.
IEEE Trans. Cybern.
Wenyan Fan, Yan Liu, Shengyu Zhang, Jieming Zhu, Mengze Li, Xufeng Qian, Zhou Zhao, Zhenhua Dong, Ruiming Tang, Fei Wu
2026 J jnl
Kelix Technical Report.
CoRR
Boyang Ding, Chenglong Chu, Dunju Zang, Han Li, Jiangxia Cao, Kun Gai, Muhao Wei, Ruiming Tang, Shiyao Wang, Siyang Mao, Xinchen Luo, Yahui Liu, Zhixin Ling, Zhuoran Yang, Ziming Li, Chengru Song, Guorui Zhou, Guowang Zhang, Hao Peng, Hao Wang, Jiaxin Deng, Jin Ouyang, Jinghao Zhang, Lejian Ren, Qianqian Wang, Qigen Hu, Tao Wang, Xing-wei Wang, Yiping Yang, Zixing Zhang, Ziqi Wang
2026 J jnl
LogitsCoder: Towards Efficient Chain-of-Thought Path Search via Logits Preference Decoding for Code Generation.
CoRR
Jizheng Chen, Weiming Zhang, Xinyi Dai, Weiwen Liu, Kounianhua Du, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2026 — conf
MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback.
KDD (1)
Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng
2026 J jnl
MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation.
CoRR
Rong Shan, Aofan Yu, Bo Chen, Kuo Cai, Qiang Luo, Ruiming Tang, Han Li, Weiwen Liu, Weinan Zhang, Jianghao Lin
2026 J jnl
OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation.
CoRR
Shen Wang, Yusheng Huang, Ruochen Yang, Shuang Wen, Pengbo Xu, Jiangxia Cao, Yueyang Liu, Kuo Cai, Chengcheng Guo, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Shuang Yang, Zhaojie Liu, Guorui Zhou, Han Li, Kun Gai
2026 A conf
OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.
WSDM
Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou
2026 J jnl
OneMall: One Architecture, More Scenarios - End-to-End Generative Recommender Family at Kuaishou E-Commerce.
CoRR
Kun Zhang, Jingming Zhang, Wei Cheng, Yansong Cheng, Jiaqi Zhang, Hao Lu, Xu Zhang, Haixiang Gan, Jiangxia Cao, Tenglong Wang, Ximing Zhang, Boyang Xia, Kuo Cai, Shiyao Wang, Hongjian Dou, Jinkai Yu, Mingxing Wen, Qiang Luo, Dongxu Liang, Chenyi Lei, Jun Wang, Runan Liu, Zhaojie Liu, Ruiming Tang, Tingting Gao, Shaoguo Liu, Yuqing Ding, Hui Kong, Han Li, Guorui Zhou, Wenwu Ou, Kun Gai
2026 J jnl
PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations.
CoRR
Chengcheng Guo, Kuo Cai, Yu Zhou, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou
2026 J jnl
Quantized Inference for OneRec-V2.
CoRR
Yi Su, Xinchen Luo, Hongtao Cheng, Ziteng Shu, Yunfeng Zhao, Fangyu Zhang, Jiaqiang Liu, Xiao Liang, Yiwu Liu, Ruiming Tang
2026 A* conf
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation.
AAAI
Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang
2026 J jnl
SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature.
CoRR
Yiming Ren, Junjie Wang, Yuxin Meng, Yihang Shi, Zhiqiang Lin, Ruihang Chu, Yiran Xu, Ziming Li, Yunfei Zhao, Zihan Wang, Yu Qiao, Ruiming Tang, Minghao Liu, Yujiu Yang
2026 J jnl
SMES: Towards Scalable Multi-Task Recommendation via Expert Sparsity.
CoRR
Yukun Zhang, Si Dong, Xu Wang, Bo Chen, Qinglin Jia, Shengzhe Wang, Jinlong Jiao, Runhan Li, Jiaqing Liu, Chaoyi Ma, Ruiming Tang, Guorui Zhou, Han Li, Kun Gai
2026 A* conf
ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.
AAAI
Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026 J jnl
Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers.
CoRR
Zhiyang Zhang, Junda She, Kuo Cai, Bo Chen, Shiyao Wang, Xinchen Luo, Qiang Luo, Ruiming Tang, Han Li, Kun Gai, Guorui Zhou
2026 J jnl
WESE: weak exploration to strong exploitation for LLM agents.
Sci. China Inf. Sci.
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2025 J jnl
A Survey of Personalization: From RAG to Agent.
CoRR
Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
A Survey on Multi-Turn Interaction Capabilities of Large Language Models.
CoRR
Chen Zhang, Xinyi Dai, Yaxiong Wu, Qu Yang, Yasheng Wang, Ruiming Tang, Yong Liu
2025 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
ACM Trans. Inf. Syst.
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2025 J jnl
ATGen: Adversarial Reinforcement Learning for Test Case Generation.
CoRR
Qingyao Li, Xinyi Dai, Weiwen Liu, Xiangyang Li, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation.
CoRR
Yifan Wang, Weinan Gan, Longtao Xiao, Jieming Zhu, Heng Chang, Haozhao Wang, Rui Zhang, Zhenhua Dong, Ruiming Tang, Ruixuan Li
2025 A* conf
Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems.
SIGIR
Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025 — conf
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger.
ACL (1)
Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
2025 J jnl
Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger.
CoRR
Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu
2025 J jnl
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing.
CoRR
Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu
2025 — conf
AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing.
ECML/PKDD (7)
Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu
2025 J jnl
Advancing and Benchmarking Personalized Tool Invocation for LLMs.
CoRR
Xu Huang, Yuefeng Huang, Weiwen Liu, Xingshan Zeng, Yasheng Wang, Ruiming Tang, Hong Xie, Defu Lian
2025 J jnl
Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation.
CoRR
Derong Xu, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Maolin Wang, Qidong Liu, Xiangyu Zhao, Yichao Wang, Huifeng Guo, Ruiming Tang, Enhong Chen, Tong Xu
2025 — conf
An Automatic Graph Construction Framework based on Large Language Models for Recommendation.
KDD (2)
Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering.
CoRR
Kuicai Dong, Yujing Chang, Shijie Huang, Yasheng Wang, Ruiming Tang, Yong Liu
2025 — conf
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.
ACL (Findings)
Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025 J jnl
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation.
CoRR
Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang
2025 — conf
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
ACL (Findings)
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A* conf
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.
ICLR
Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025 J jnl
CAM: A Constructivist View of Agentic Memory for LLM-Based Reading Comprehension.
CoRR
Rui Li, Zeyu Zhang, Xiaohe Bo, Zihang Tian, Xu Chen, Quanyu Dai, Zhenhua Dong, Ruiming Tang
2025 — conf
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.
ACL (1)
Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang
2025 — conf
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation.
ACL (Findings)
Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu
2025 — conf
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge.
ACL (1)
Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025 J jnl
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge.
CoRR
Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025 — conf
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation.
ACL (1)
Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu
2025 J jnl
DiffGRM: Diffusion-based Generative Recommendation Model.
CoRR
Zhao Liu, Yichen Zhu, Yiqing Yang, Guoping Tang, Rui Huang, Qiang Luo, Xiao Lv, Ruiming Tang, Kun Gai, Guorui Zhou
2025 A* conf
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding.
SIGIR
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu
2025 J jnl
Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe.
CoRR
Yahui Liu, Yang Yue, Jingyuan Zhang, Chenxi Sun, Yang Zhou, Wencong Zeng, Ruiming Tang, Guorui Zhou
2025 J jnl
Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning.
CoRR
Zhenpeng Su, Leiyu Pan, Minxuan Lv, Tiehua Mei, Zijia Lin, Yuntao Li, Wenping Hu, Ruiming Tang, Kun Gai, Guorui Zhou
2025 J jnl
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey.
CoRR
Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs.
CoRR
Yaxiong Wu, Sheng Liang, Chen Zhang, Yichao Wang, Yongyue Zhang, Huifeng Guo, Ruiming Tang, Yong Liu
2025 — conf
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.
WWW (Companion Volume)
Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025 J jnl
FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.
CoRR
Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025 J jnl
FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model.
CoRR
Yufei Ye, Wei Guo, Hao Wang, Hong Zhu, Yuyang Ye, Yong Liu, Huifeng Guo, Ruiming Tang, Defu Lian, Enhong Chen
2025 J jnl
Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
CoRR
Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework.
CoRR
Yijia Sun, Shanshan Huang, ZhiYuan Guan, Qiang Luo, Ruiming Tang, Kun Gai, Guorui Zhou
2025 — conf
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.
WWW (Companion Volume)
Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025 J jnl
Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.
CoRR
Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025 J jnl
Generative Representational Learning of Foundation Models for Recommendation.
CoRR
Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2025 J jnl
How Can Recommender Systems Benefit from Large Language Models: A Survey.
ACM Trans. Inf. Syst.
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2025 — conf
Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
EMNLP (Findings)
Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Yasheng Wang, Ruiming Tang
2025 J jnl
Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?
CoRR
Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang
2025 — conf
HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.
WWW (Companion Volume)
Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025 J jnl
InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation.
CoRR
Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu
2025 — ed.
Information Retrieval - 30th China Conference, CCIR 2024, Wuhan, China, October 18-20, 2024, Revised Selected Papers
CCIR
Xiangnan He, Zhaochun Ren, Ruiming Tang
2025 — conf
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction.
ACL (Findings)
Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025 J jnl
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction.
CoRR
Yuxin Jiang, Yufei Wang, Chuhan Wu, Xinyi Dai, Yan Xu, Weinan Gan, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2025 — conf
Joint Modeling in Deep Recommender Systems.
WWW (Companion Volume)
Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025 J jnl
Joint Modeling in Recommendations: A Survey.
CoRR
Xiangyu Zhao, Yichao Wang, Bo Chen, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Pengyue Jia, Qidong Liu, Huifeng Guo, Ruiming Tang
2025 A conf
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CIKM
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 J jnl
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CoRR
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 A* conf
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations.
WWW
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Wanyu Wang, Huifeng Guo, Ruiming Tang
2025 — conf
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models.
KDD (2)
Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025 J jnl
LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models.
CoRR
Ruiming Tang, Chenxu Zhu, Bo Chen, Weipeng Zhang, Menghui Zhu, Xinyi Dai, Huifeng Guo
2025 B conf
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.
COLING
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2025 — conf
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
KDD (2)
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
Large language models make sample-efficient recommender systems.
Frontiers Comput. Sci.
Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback.
CoRR
Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng
2025 J jnl
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents.
CoRR
Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu
2025 A* conf
MMDocIR: Benchmarking Multimodal Retrieval for Long Documents.
EMNLP
Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu
2025 J jnl
MTRec: Learning to Align with User Preferences via Mental Reward Models.
CoRR
Mengchen Zhao, Yifan Gao, Yaqing Hou, Xiangyang Li, Pengjie Gu, Zhenhua Dong, Ruiming Tang, Yi Cai
2025 J jnl
MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models.
CoRR
Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2025 A* conf
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.
EMNLP
Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 J jnl
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging.
CoRR
Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weinan Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu
2025 J jnl
No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction.
CoRR
Qinglin Jia, Zhaocheng Du, Chuhan Wu, Huifeng Guo, Ruiming Tang, Shuting Shi, Muyu Zhang
2025 J jnl
OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service.
CoRR
Zhipeng Wei, Kuo Cai, Junda She, Jie Chen, Minghao Chen, Yang Zeng, Qiang Luo, Wencong Zeng, Ruiming Tang, Kun Gai, Guorui Zhou
2025 J jnl
OneRec-Think: In-Text Reasoning for Generative Recommendation.
CoRR
Zhanyu Liu, Shiyao Wang, Xingmei Wang, Rongzhou Zhang, Jiaxin Deng, Honghui Bao, Jinghao Zhang, Wuchao Li, Pengfei 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
2025 J jnl
OneRec-V2 Technical Report.
CoRR
Guorui Zhou, Hengrui Hu, Hongtao Cheng, Huanjie Wang, Jiaxin Deng, Jinghao Zhang, Kuo Cai, Lejian Ren, Lu Ren, Liao Yu, Pengfei Zheng, Qiang Luo, Qianqian Wang, Qigen Hu, Rui Huang, Ruiming Tang, Shiyao Wang, Shujie Yang, Tao Wu, Wuchao Li, Xinchen Luo, Xingmei Wang, Yi Su, Yunfan Wu, Zexuan Cheng, Zhanyu Liu, Zixing Zhang, Bin Zhang, Boxuan Wang, Chaoyi Ma, Chengru Song, Chenhui Wang, Chenglong Chu, Di Wang, Dongxue Meng, Dunju Zang, Fan Yang, Fangyu Zhang, Feng Jiang, Fuxing Zhang, Gang Wang, Guowang Zhang, Han Li, Honghui Bao, Hongyang Cao, Jiaming Huang, Jiapeng Chen, Jiaqiang Liu, Jinghui Jia, Kun Gai, Lantao Hu, Liang Zeng, Qiang Wang, Qidong Zhou, Rongzhou Zhang, Shengzhe Wang, Shihui He, Shuang Yang, Siyang Mao, Sui Huang, Tiantian He, Tingting Gao, Wei Yuan, Xiao Liang, Xiaoxiao Xu, Xugang Liu, Yan Wang, Yang Zhou, Yi Wang, Yiwu Liu, Yue Song, Yufei Zhang, Yunfeng Zhao, Zhixin Ling, Ziming Li
2025 J jnl
Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs.
CoRR
Hanting Chen, Jiarui Qin, Jialong Guo, Tao Yuan, Yichun Yin, Huiling Zhen, Yasheng Wang, Jinpeng Li, Xiaojun Meng, Meng Zhang, Rongju Ruan, Zheyuan Bai, Yehui Tang, Can Chen, Xinghao Chen, Fisher Yu, Ruiming Tang, Yunhe Wang
2025 J jnl
Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity.
CoRR
Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang
2025 J jnl
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs.
CoRR
Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025 J jnl
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs.
CoRR
Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2025 J jnl
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.
CoRR
Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Prompt Tuning as User Inherent Profile Inference Machine.
CIKM
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao
2025 A* conf
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
EMNLP
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025 J jnl
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation.
CoRR
Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao
2025 A* conf
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
EMNLP
Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 A* conf
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References.
ICLR
Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2025 A conf
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.
CIKM
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025 — conf
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
WWW (Companion Volume)
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
CoRR
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 A conf
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CIKM
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025 J jnl
Schema as Parameterized Tools for Universal Information Extraction.
CoRR
Sheng Liang, Yongyue Zhang, Yaxiong Wu, Ruiming Tang, Yong Liu
2025 J jnl
The Real Barrier to LLM Agent Usability is Agentic ROI.
CoRR
Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025 J jnl
ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution.
CoRR
Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian
2025 J jnl
ToolACE-R: Tool Learning with Adaptive Self-Refinement.
CoRR
Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2025 A* conf
ToolACE: Winning the Points of LLM Function Calling.
ICLR
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
2025 J jnl
Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents.
CoRR
Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu
2025 J jnl
Towards efficient and effective unlearning of large language models for recommendation.
Frontiers Comput. Sci.
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
A Comprehensive Survey on Automated Machine Learning for Recommendations.
Trans. Recomm. Syst.
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2024 J jnl
A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems.
CoRR
Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
A Survey on Bid Optimization in Real-Time Bidding Display Advertising.
ACM Trans. Knowl. Discov. Data
Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
2024 A conf
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.
RecSys
Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024 J jnl
AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising.
CoRR
Yang Yang, Bo Chen, Chenxu Zhu, Menghui Zhu, Xinyi Dai, Huifeng Guo, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2024 Misc conf
Active Explainable Recommendation with Limited Labeling Budgets.
ICASSP
Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen
2024 J jnl
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges.
CoRR
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2024 J jnl
Aligning Crowd Feedback via Distributional Preference Reward Modeling.
CoRR
Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu
2024 J jnl
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era.
CoRR
Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
2024 J jnl
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.
CoRR
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2024 J jnl
An Automatic Graph Construction Framework based on Large Language Models for Recommendation.
CoRR
Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.
Knowl. Inf. Syst.
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Beyond Positive History: Re-ranking with List-level Hybrid Feedback.
CoRR
Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization.
CoRR
Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Wei Wang
2024 J jnl
CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
2024 A* conf
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.
WWW
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.
CoRR
Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang
2024 J jnl
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.
ACM Trans. Inf. Syst.
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2024 J jnl
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.
CoRR
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.
CoRR
Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
2024 A* conf
D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.
AAAI
Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 A conf
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.
WSDM
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
2024 A* conf
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.
KDD
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024 J jnl
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation.
CoRR
Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang
2024 A conf
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
CIKM
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation.
CoRR
Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang
2024 A* conf
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
KDD
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
CoRR
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.
CoRR
Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
Embedding Compression in Recommender Systems: A Survey.
CoRR
Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024 J jnl
Embedding Compression in Recommender Systems: A Survey.
ACM Comput. Surv.
Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang
2024 J jnl
Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR
Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2024 J jnl
Evaluating the External and Parametric Knowledge Fusion of Large Language Models.
CoRR
Hao Zhang, Yuyang Zhang, Xiaoguang Li, Wenxuan Shi, Haonan Xu, Huanshuo Liu, Yasheng Wang, Lifeng Shang, Qun Liu, Yong Liu, Ruiming Tang
2024 J jnl
Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.
CoRR
Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang
2024 A conf
FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction.
RecSys
Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
GUI Agents with Foundation Models: A Comprehensive Survey.
CoRR
Shuai Wang, Weiwen Liu, Jingxuan Chen, Weinan Gan, Xingshan Zeng, Shuai Yu, Xinlong Hao, Kun Shao, Yasheng Wang, Ruiming Tang
2024 — conf
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.
WWW (Companion Volume)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
2024 A conf
HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations.
CIKM
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2024 A conf
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation.
WSDM
Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang
2024 J jnl
LIBER: Lifelong User Behavior Modeling Based on Large Language Models.
CoRR
Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang
2024 J jnl
LLM-enhanced Reranking in Recommender Systems.
CoRR
Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang
2024 A conf
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CIKM
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation.
CoRR
Yuhao Wang, Yichao Wang, Zichuan Fu, Xiangyang Li, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Large Language Models Make Sample-Efficient Recommender Systems.
CoRR
Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
2024 J jnl
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
2024 — conf
Learning to Edit: Aligning LLMs with Knowledge Editing.
ACL (1)
Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang
2024 J jnl
Learning to Edit: Aligning LLMs with Knowledge Editing.
CoRR
Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang
2024 J jnl
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.
CoRR
Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang
2024 — conf
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.
WWW (Companion Volume)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
2024 A* conf
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.
WWW
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation.
CoRR
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024 A conf
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.
CIKM
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models.
CoRR
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 — conf
Multi-sourced Integrated Ranking with Exposure Fairness.
PAKDD (5)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024 J jnl
Performance Law of Large Language Models.
CoRR
Chuhan Wu, Ruiming Tang
2024 — conf
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.
CCIR
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.
CoRR
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights.
CoRR
Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen
2024 J jnl
Prompt Tuning as User Inherent Profile Inference Machine.
CoRR
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024 A conf
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
RecSys
Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li
2024 A* conf
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
WWW
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2024 — conf
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
WWW (Companion Volume)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data.
CoRR
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang
2024 J jnl
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.
CoRR
Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
2024 A conf
Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
CIKM
Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024 J jnl
Retrieval-Oriented Knowledge for Click-Through Rate Prediction.
CoRR
Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
2024 J jnl
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References.
CoRR
Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma
2024 A conf
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CIKM
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024 J jnl
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CoRR
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024 J jnl
Scaling New Frontiers: Insights into Large Recommendation Models.
CoRR
Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2024 J jnl
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CoRR
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.
CoRR
Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.
CoRR
Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 J jnl
ToolACE: Winning the Points of LLM Function Calling.
CoRR
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
2024 J jnl
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation.
CoRR
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
2024 A conf
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.
RecSys
Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
2024 J jnl
Understanding the planning of LLM agents: A survey.
CoRR
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2024 A conf
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.
WSDM
Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2024 J jnl
Utility-Oriented Reranking with Counterfactual Context.
ACM Trans. Knowl. Discov. Data
Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu
2024 J jnl
WESE: Weak Exploration to Strong Exploitation for LLM Agents.
CoRR
Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
2023 A conf
A Bird's-eye View of Reranking: From List Level to Page Level.
WSDM
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2023 A* conf
A Survey on User Behavior Modeling in Recommender Systems.
IJCAI
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023 J jnl
A Survey on User Behavior Modeling in Recommender Systems.
CoRR
Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023 J jnl
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
CoRR
Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang
2023 J jnl
AIM: Automatic Interaction Machine for Click-Through Rate Prediction.
IEEE Trans. Knowl. Data Eng.
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2023 J jnl
ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.
CoRR
Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
2023 A conf
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
CIKM
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023 J jnl
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.
CoRR
Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023 A* conf
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.
AAAI
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2023 A conf
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.
WSDM
Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023 J jnl
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation.
CoRR
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2023 A conf
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.
WSDM
Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
2023 A conf
AutoML for Deep Recommender Systems: Fundamentals and Advances.
WSDM
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023 A conf
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction.
RecSys
Yujun Li, Xing Tang, Bo Chen, Yimin Huang, Ruiming Tang, Zhenguo Li
2023 A* conf
AutoTransfer: Instance Transfer for Cross-Domain Recommendations.
SIGIR
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo, Ruiming Tang
2023 A* conf
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.
SIGIR
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
2023 J jnl
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation.
CoRR
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang
2023 J jnl
CTRL: Connect Tabular and Language Model for CTR Prediction.
CoRR
Xiangyang Li, Bo Chen, Lu Hou, Ruiming Tang
2023 J jnl
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.
CoRR
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
2023 A* conf
Compressed Interaction Graph based Framework for Multi-behavior Recommendation.
WWW
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023 J jnl
Compressed Interaction Graph based Framework for Multi-behavior Recommendation.
CoRR
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang
2023 J jnl
Contrastive Multi-view Framework for Customer Lifetime Value Prediction.
CoRR
Chuhan Wu, Jingjie Li, Qinglin Jia, Hong Zhu, Yuan Fang, Ruiming Tang
2023 A conf
Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.
RecSys
Chuhan Wu, Qinglin Jia, Zhenhua Dong, Ruiming Tang
2023 A conf
DFFM: Domain Facilitated Feature Modeling for CTR Prediction.
CIKM
Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang
2023 A* conf
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding.
KDD
Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
2023 A conf
Diffusion Augmentation for Sequential Recommendation.
CIKM
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023 J jnl
Diffusion Augmentation for Sequential Recommendation.
CoRR
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023 A conf
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.
CIKM
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
2023 J jnl
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System.
CoRR
Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma
2023 A* conf
Dynamically Expandable Graph Convolution for Streaming Recommendation.
WWW
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
2023 J jnl
Dynamically Expandable Graph Convolution for Streaming Recommendation.
CoRR
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma
2023 A* conf
FINAL: Factorized Interaction Layer for CTR Prediction.
SIGIR
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang
2023 A* conf
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.
KDD
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023 J jnl
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.
CoRR
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023 A conf
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.
CIKM
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
2023 A conf
HAMUR: Hyper Adapter for Multi-Domain Recommendation.
CIKM
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 J jnl
HAMUR: Hyper Adapter for Multi-Domain Recommendation.
CoRR
Xiaopeng Li, Fan Yan, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 A* conf
Hierarchical Projection Enhanced Multi-behavior Recommendation.
KDD
Chang Meng, Hengyu Zhang, Wei Guo, Huifeng Guo, Haotian Liu, Yingxue Zhang, Hongkun Zheng, Ruiming Tang, Xiu Li, Rui Zhang
2023 J jnl
How Can Recommender Systems Benefit from Large Language Models: A Survey.
CoRR
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
2023 — conf
Integrated Ranking for News Feed with Reinforcement Learning.
WWW (Companion Volume)
Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
2023 A* conf
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.
ICDE
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2023 A conf
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
RecSys
Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-Chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao
2023 J jnl
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning.
IEEE Trans. Knowl. Data Eng.
Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
2023 J jnl
Learning to Retrieve User Behaviors for Click-through Rate Estimation.
ACM Trans. Inf. Syst.
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
2023 A* conf
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.
KDD
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
2023 J jnl
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.
CoRR
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
2023 J jnl
Multi-Task Deep Recommender Systems: A Survey.
CoRR
Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2023 J jnl
Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast.
CoRR
Dong Yao, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Ruiming Tang, Xin Jiang
2023 A* conf
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling.
KDD
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
2023 A conf
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.
CIKM
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
2023 A* conf
Optimal Transport for Treatment Effect Estimation.
NeurIPS
Hao Wang, Jiajun Fan, Zhichao Chen, Haoxuan Li, Weiming Liu, Tianqiao Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 J jnl
Optimal Transport for Treatment Effect Estimation.
CoRR
Hao Wang, Zhichao Chen, Jiajun Fan, Haoxuan Li, Tianqiao Liu, Weiming Liu, Quanyu Dai, Yichao Wang, Zhenhua Dong, Ruiming Tang
2023 A* conf
PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
SIGIR
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang, Ruiming Tang
2023 A* conf
Personalized Diversification for Neural Re-ranking in Recommendation.
ICDE
Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2023 A* conf
REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.
NeurIPS
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen
2023 J jnl
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.
CoRR
Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen
2023 — conf
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
PAKDD (3)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023 J jnl
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.
CoRR
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
2023 A* conf
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
KDD
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 J jnl
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop.
CoRR
Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang
2023 A* conf
Robust Causal Inference for Recommender System to Overcome Noisy Confounders.
SIGIR
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong, Ruiming Tang
2023 J jnl
Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.
CoRR
Jingtong Gao, Bo Chen, Menghui Zhu, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Yichao Wang, Huifeng Guo, Ruiming Tang
2023 A* conf
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.
AAAI
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023 J jnl
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation.
CoRR
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023 A* conf
Single-shot Feature Selection for Multi-task Recommendations.
SIGIR
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2023 A* conf
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
AAAI
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023 J jnl
Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems.
CoRR
Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates
2023 — conf
Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation.
WWW (Companion Volume)
Xiaofan Liu, Qinglin Jia, Chuhan Wu, Jingjie Li, Quanyu Dai, Lin Bo, Rui Zhang, Ruiming Tang
2023 J jnl
Ten Challenges in Industrial Recommender Systems.
CoRR
Zhenhua Dong, Jieming Zhu, Weiwen Liu, Ruiming Tang
2023 J jnl
Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction.
CoRR
Hengyu Zhang, Chang Meng, Wei Guo, Huifeng Guo, Jieming Zhu, Guangpeng Zhao, Ruiming Tang, Xiu Li
2023 J jnl
Towards Automated Negative Sampling in Implicit Recommendation.
CoRR
Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu
2023 J jnl
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.
CoRR
Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2023 A conf
User Behavior Modeling with Deep Learning for Recommendation: Recent Advances.
RecSys
Weiwen Liu, Wei Guo, Yong Liu, Ruiming Tang, Hao Wang
2022 A* conf
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022.
KDD
Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-Chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang
2022 J jnl
A Bird's-eye View of Reranking: from List Level to Page Level.
CoRR
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
2022 J jnl
A Brief History of Recommender Systems.
CoRR
Zhenhua Dong, Zhe Wang, Jun Xu, Ruiming Tang, Jirong Wen
2022 J jnl
A Graph-Enhanced Click Model for Web Search.
CoRR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022 A conf
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.
CIKM
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
2022 J jnl
Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation.
CoRR
Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates
2022 J jnl
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.
CoRR
Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li
2022 — conf
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching.
AACL/IJCNLP (2)
Yankai Chen, Yifei Zhang, Huifeng Guo, Ruiming Tang, Irwin King
2022 J jnl
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages.
CoRR
Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022 A* conf
AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.
ICDM
Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2022 J jnl
AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction.
IEEE Trans. Knowl. Data Eng.
Niannan Xue, Bin Liu, Huifeng Guo, Ruiming Tang, Fengwei Zhou, Stefanos Zafeiriou, Yuzhou Zhang, Jun Wang, Zhenguo Li
2022 J jnl
Automated Machine Learning for Deep Recommender Systems: A Survey.
CoRR
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2022 B conf
Automatical Graph-based Knowledge Tracing.
EDM
Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
2022 A conf
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.
CIKM
Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang
2022 J jnl
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank.
ACM Trans. Inf. Syst.
Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu
2022 A* conf
CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation.
KDD
Yichao Wang, Huifeng Guo, Bo Chen, Weiwen Liu, Zhirong Liu, Qi Zhang, Zhicheng He, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Zhenhua Dong, Ruiming Tang
2022 J jnl
Click-through rate prediction using transfer learning with fine-tuned parameters.
Inf. Sci.
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang
2022 J jnl
Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation.
CoRR
Chang Meng, Ziqi Zhao, Wei Guo, Yingxue Zhang, Haolun Wu, Chen Gao, Dong Li, Xiu Li, Ruiming Tang
2022 A* conf
Cross Pairwise Ranking for Unbiased Item Recommendation.
WWW
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022 J jnl
Cross Pairwise Ranking for Unbiased Item Recommendation.
CoRR
Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022 A conf
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.
CIKM
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022 J jnl
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks.
CoRR
Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022 J jnl
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.
CoRR
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
2022 A conf
Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation.
WSDM
Lu Wang, Ruiming Tang, Xiaofeng He, Xiuqiang He
2022 A conf
Improving Knowledge Tracing with Collaborative Information.
WSDM
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022 A conf
IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System.
CIKM
Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022 J jnl
IntTower: the Next Generation of Two-Tower Model for Pre-Ranking System.
CoRR
Xiangyang Li, Bo Chen, Huifeng Guo, Jingjie Li, Chenxu Zhu, Xiang Long, Sujian Li, Yichao Wang, Wei Guo, Longxia Mao, Jinxing Liu, Zhenhua Dong, Ruiming Tang
2022 J jnl
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation.
CoRR
Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates
2022 A conf
LCD: Adaptive Label Correction for Denoising Music Recommendation.
CIKM
Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022 A* conf
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.
KDD
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022 J jnl
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation.
CoRR
Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King
2022 A* conf
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.
ICDE
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022 A* conf
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction.
ICDE
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2022 A* conf
Multi-Behavior Sequential Transformer Recommender.
SIGIR
Enming Yuan, Wei Guo, Zhicheng He, Huifeng Guo, Chengkai Liu, Ruiming Tang
2022 A* conf
Multi-Level Interaction Reranking with User Behavior History.
SIGIR
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022 J jnl
Multi-Level Interaction Reranking with User Behavior History.
CoRR
Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu
2022 A conf
Neural Re-ranking for Multi-stage Recommender Systems.
RecSys
Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
2022 A* conf
Neural Re-ranking in Multi-stage Recommender Systems: A Review.
IJCAI
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022 J jnl
Neural Re-ranking in Multi-stage Recommender Systems: A Review.
CoRR
Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022 A conf
Numerical Feature Representation with Hybrid
CIKM
Bo Chen, Huifeng Guo, Weiwen Liu, Yue Ding, Yunzhe Li, Wei Guo, Yichao Wang, Zhicheng He, Ruiming Tang, Rui Zhang
2022 A conf
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.
CIKM
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022 J jnl
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.
CoRR
Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu
2022 — conf
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
WWW (Companion Volume)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022 J jnl
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation.
CoRR
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
2022 A* conf
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows.
SIGIR
Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2022 A* conf
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
SIGIR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems.
CoRR
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
2022 J jnl
Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation.
CoRR
Yuxiang Shi, Yue Ding, Bo Chen, Yuyang Huang, Ruiming Tang, Dong Wang
2022 A* conf
Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.
KDD
Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2021 A* conf
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021.
KDD
Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
2021 A* conf
A Graph-Enhanced Click Model for Web Search.
SIGIR
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
2021 J jnl
AIM: Automatic Interaction Machine for Click-Through Rate Prediction.
CoRR
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2021 A* conf
An Adversarial Imitation Click Model for Information Retrieval.
WWW
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 J jnl
An Adversarial Imitation Click Model for Information Retrieval.
CoRR
Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu
2021 A* conf
An Embedding Learning Framework for Numerical Features in CTR Prediction.
KDD
Huifeng Guo, Bo Chen, Ruiming Tang, Weinan Zhang, Zhenguo Li, Xiuqiang He
2021 J jnl
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction.
CoRR
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He
2021 J jnl
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
CoRR
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2021 J jnl
Content Filtering Enriched GNN Framework for News Recommendation.
CoRR
Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, Ruiming Tang, Xiuqiang He
2021 J jnl
Context-aware Reranking with Utility Maximization for Recommendation.
CoRR
Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu
2021 A* conf
Deep Learning for Click-Through Rate Estimation.
IJCAI
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021 J jnl
Deep Learning for Click-Through Rate Estimation.
CoRR
Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021 A* conf
Dual Graph enhanced Embedding Neural Network for CTR Prediction.
KDD
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021 J jnl
Dual Graph enhanced Embedding Neural Network for CTR Prediction.
CoRR
Wei Guo, Rong Su, Renhao Tan, Huifeng Guo, Yingxue Zhang, Zhirong Liu, Ruiming Tang, Xiuqiang He
2021 A conf
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models.
CIKM
Bo Chen, Yichao Wang, Zhirong Liu, Ruiming Tang, Wei Guo, Hongkun Zheng, Weiwei Yao, Muyu Zhang, Xiuqiang He
2021 A conf
Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
CIKM
Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021 J jnl
Extracting Attentive Social Temporal Excitation for Sequential Recommendation.
CoRR
Yunzhe Li, Yue Ding, Bo Chen, Xin Xin, Yule Wang, Yuxiang Shi, Ruiming Tang, Dong Wang
2021 — conf
Learning to Build High-Fidelity and Robust Environment Models.
ECML/PKDD (1)
Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li
2021 J jnl
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction.
CoRR
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021 J jnl
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction.
CoRR
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
2021 — conf
ModularNAS: Towards Modularized and Reusable Neural Architecture Search.
MLSys
Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu
2021 A* conf
On Effective Scheduling of Model-based Reinforcement Learning.
NeurIPS
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021 J jnl
On Effective Scheduling of Model-based Reinforcement Learning.
CoRR
Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li
2021 J jnl
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.
CoRR
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2021 J jnl
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback.
IEEE Access
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
2021 J jnl
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback.
CoRR
Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu
2021 A* conf
Retrieval & Interaction Machine for Tabular Data Prediction.
KDD
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021 J jnl
Retrieval & Interaction Machine for Tabular Data Prediction.
CoRR
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021 A* conf
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.
SIGIR
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021 J jnl
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table.
CoRR
Huifeng Guo, Wei Guo, Yong Gao, Ruiming Tang, Xiuqiang He, Wenzhi Liu
2021 A conf
Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation.
CIKM
Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang
2021 J jnl
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation.
CoRR
Yankai Chen, Yifei Zhang, Yingxue Zhang, Huifeng Guo, Jingjie Li, Ruiming Tang, Xiuqiang He, Irwin King
2020 A* conf
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.
KDD
Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates
2020 J jnl
A Practical Incremental Method to Train Deep CTR Models.
CoRR
Yichao Wang, Huifeng Guo, Ruiming Tang, Zhirong Liu, Xiuqiang He
2020 J jnl
AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction.
CoRR
Huifeng Guo, Bo Chen, Ruiming Tang, Zhenguo Li, Xiuqiang He
2020 A* conf
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.
KDD
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020 J jnl
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction.
CoRR
Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
2020 A conf
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction.
CIKM
Farhan Khawar, Xu Hang, Ruiming Tang, Bin Liu, Zhenguo Li, Xiuqiang He
2020 A* conf
AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction.
SIGIR
Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li
2020 — conf
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
PAKDD (1)
Weiwen Liu, Feng Liu, Ruiming Tang, Ben Liao, Guangyong Chen, Pheng-Ann Heng
2020 A* conf
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search.
IJCAI
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
2020 — conf
Dual-attentional Factorization-Machines based Neural Network for User Response Prediction.
WWW (Companion Volume)
Feng Liu, Wei Guo, Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2020 A conf
End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding.
WSDM
Feng Liu, Huifeng Guo, Xutao Li, Ruiming Tang, Yunming Ye, Xiuqiang He
2020 A conf
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.
CIKM
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020 J jnl
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems.
CoRR
Yishi Xu, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Mark Coates
2020 A* conf
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.
SIGIR
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020 J jnl
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning.
CoRR
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020 A* conf
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
SIGIR
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020 J jnl
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach.
CoRR
Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He
2020 A* conf
Multi-Branch Convolutional Network for Context-Aware Recommendation.
SIGIR
Wei Guo, Can Zhang, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020 J jnl
Multi-Graph Convolution Collaborative Filtering.
CoRR
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2020 A* conf
Neighbor Interaction Aware Graph Convolution Networks for Recommendation.
SIGIR
Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates
2020 J jnl
Personalized Re-ranking for Improving Diversity in Live Recommender Systems.
CoRR
Yichao Wang, Xiangyu Zhang, Zhirong Liu, Zhenhua Dong, Xinhua Feng, Ruiming Tang, Xiuqiang He
2020 A conf
Personalized Re-ranking with Item Relationships for E-commerce.
CIKM
Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng
2020 A* conf
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation.
KDD
Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates
2020 J jnl
State representation modeling for deep reinforcement learning based recommendation.
Knowl. Based Syst.
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He
2020 A conf
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation.
CIKM
Bo Chen, Wei Guo, Ruiming Tang, Xin Xin, Yue Ding, Xiuqiang He, Dong Wang
2020 J jnl
Top-aware reinforcement learning based recommendation.
Neurocomputing
Feng Liu, Ruiming Tang, Huifeng Guo, Xutao Li, Yunming Ye, Xiuqiang He
2020 A conf
U-rank: Utility-oriented Learning to Rank with Implicit Feedback.
CIKM
Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2020 J jnl
U-rank: Utility-oriented Learning to Rank with Implicit Feedback.
CoRR
Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu
2019 — conf
A Novel KNN Approach for Session-Based Recommendation.
PAKDD (2)
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2019 A* conf
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.
WWW
Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019 J jnl
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction.
CoRR
Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang
2019 A* conf
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient.
AAAI
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
2019 A* conf
Multi-graph Convolution Collaborative Filtering.
ICDM
Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He
2019 — conf
Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning.
AIAM (IEEE)
Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang
2019 A* conf
Order-aware Embedding Neural Network for CTR Prediction.
SIGIR
Wei Guo, Ruiming Tang, Huifeng Guo, Jianhua Han, Wen Yang, Yuzhou Zhang
2019 A conf
PAL: a position-bias aware learning framework for CTR prediction in live recommender systems.
RecSys
Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang
2019 J jnl
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data.
ACM Trans. Inf. Syst.
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2018 J jnl
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Feng Liu, Yuzhou Zhang
2018 J jnl
An Efficient and Truthful Pricing Mechanism for Team Formation in Crowdsourcing Markets.
CoRR
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
2018 J jnl
Collaborative Filtering with Graph-based Implicit Feedback.
CoRR
Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu
2018 J jnl
Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling.
CoRR
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang
2018 J jnl
DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He, Zhenhua Dong
2018 A conf
Field-aware probabilistic embedding neural network for CTR prediction.
RecSys
Weiwen Liu, Ruiming Tang, Jiajin Li, Jinkai Yu, Huifeng Guo, Xiuqiang He, Shengyu Zhang
2018 J jnl
Large-scale Interactive Recommendation with Tree-structured Policy Gradient.
CoRR
Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu
2018 — conf
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.
DASFAA (2)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018 J jnl
Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification.
CoRR
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He
2018 J jnl
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data.
CoRR
Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He
2017 — conf
A Graph-Based Push Service Platform.
DASFAA (2)
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 A* conf
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.
IJCAI
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 J jnl
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2017 — conf
Holistic Neural Network for CTR Prediction.
WWW (Companion Volume)
Huifeng Guo, Ruiming Tang, Yunming Ye, Xiuqiang He
2016 J jnl
A Framework for Sampling-Based XML Data Pricing.
Trans. Large Scale Data Knowl. Centered Syst.
Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan
2016 J jnl
A Graph-based Push Service Platform.
CoRR
Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He
2016 J jnl
On efficient conditioning of probabilistic relational databases.
Knowl. Based Syst.
Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang
2015 — conf
An efficient and truthful pricing mechanism for team formation in crowdsourcing markets.
ICC
Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan
2015 — conf
Expressing and Processing Path-Centric XML Queries.
DEXA (2)
Huayu Wu, Dongxu Shao, Ruiming Tang, Tok Wang Ling, Stéphane Bressan
2015 — conf
Mining target users for online marketing based on App Store data.
IEEE BigData
Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang
2015 — conf
Valuating Queries for Data Trading in Modern Cities.
ICDM Workshops
Ruiming Tang, Huayu Wu, Xiuqiang He, Stéphane Bressan
2014 — conf
An Efficient Conditioning Method for Probabilistic Relational Databases.
WAIM
Hong Zhu, Caicai Zhang, Zhongsheng Cao, Ruiming Tang, Mengyuan Yang
2014 — conf
Conditioning Probabilistic Relational Data with Referential Constraints.
DASFAA Workshops
Ruiming Tang, Dongxu Shao, Mouhamadou Lamine Ba, Huayu Wu
2014 — conf
Get a Sample for a Discount - Sampling-Based XML Data Pricing.
DEXA (1)
Ruiming Tang, Antoine Amarilli, Pierre Senellart, Stéphane Bressan
2014 — conf
Integration of Web Sources Under Uncertainty and Dependencies Using Probabilistic XML.
DASFAA Workshops
Mouhamadou Lamine Ba, Sébastien Montenez, Ruiming Tang, Talel Abdessalem
2013 — conf
Querying Semi-structured Data with Mutual Exclusion.
DASFAA (1)
Huayu Wu, Ruiming Tang, Tok Wang Ling
2013 — conf
The Price Is Right - Models and Algorithms for Pricing Data.
DEXA (2)
Ruiming Tang, Huayu Wu, Zhifeng Bao, Stéphane Bressan, Patrick Valduriez
2013 — conf
What You Pay for Is What You Get.
DEXA (2)
Ruiming Tang, Dongxu Shao, Stéphane Bressan, Patrick Valduriez
2012 — conf
A Framework for Conditioning Uncertain Relational Data.
DEXA (2)
Ruiming Tang, Reynold Cheng, Huayu Wu, Stéphane Bressan
2012 — conf
A Hybrid Approach for General XML Query Processing.
DEXA (1)
Huayu Wu, Ruiming Tang, Tok Wang Ling, Yong Zeng, Stéphane Bressan
2011 — conf
Edit Distance between XML and Probabilistic XML Documents.
DEXA (1)
Ruiming Tang, Huayu Wu, Sadegh Nobari, Stéphane Bressan
2011 — conf
Measuring XML Structured-ness with Entropy.
WAIM Workshops
Ruiming Tang, Huayu Wu, Stéphane Bressan