Edit Distance between XML and Probabilistic XML Documents. - Ruiming Tang; Huayu Wu 001; Sadegh Nobari; Stéphane Bressan (DEXA (1), 2011)

Measuring XML Structured-ness with Entropy. - Ruiming Tang; Huayu Wu 001; Stéphane Bressan (WAIM Workshops, 2011)

A Framework for Conditioning Uncertain Relational Data. - Ruiming Tang; Reynold Cheng; Huayu Wu 001; Stéphane Bressan (DEXA (2), 2012)

A Hybrid Approach for General XML Query Processing. - Huayu Wu 001; Ruiming Tang; Tok Wang Ling; Yong Zeng; Stéphane Bressan (DEXA (1), 2012)

Querying Semi-structured Data with Mutual Exclusion. - Huayu Wu 001; Ruiming Tang; Tok Wang Ling (DASFAA (1), 2013)

What You Pay for Is What You Get. - Ruiming Tang; Dongxu Shao; Stéphane Bressan; Patrick Valduriez (DEXA (2), 2013)

The Price Is Right - Models and Algorithms for Pricing Data. - Ruiming Tang; Huayu Wu 001; Zhifeng Bao; Stéphane Bressan; Patrick Valduriez (DEXA (2), 2013)

Integration of Web Sources Under Uncertainty and Dependencies Using Probabilistic XML. - Mouhamadou Lamine Ba; Sébastien Montenez; Ruiming Tang; Talel Abdessalem (DASFAA Workshops, 2014)

Conditioning Probabilistic Relational Data with Referential Constraints. - Ruiming Tang; Dongxu Shao; Mouhamadou Lamine Ba; Huayu Wu 001 (DASFAA Workshops, 2014)

Get a Sample for a Discount - Sampling-Based XML Data Pricing. - Ruiming Tang; Antoine Amarilli; Pierre Senellart; Stéphane Bressan (DEXA (1), 2014)

An Efficient Conditioning Method for Probabilistic Relational Databases. - Hong Zhu 003; Caicai Zhang; Zhongsheng Cao; Ruiming Tang; Mengyuan Yang (WAIM, 2014)

Mining target users for online marketing based on App Store data. - Xiuqiang He 001; Wenyuan Dai; Guoxiang Cao; Ruiming Tang; Mingxuan Yuan; Qiang Yang 001 (IEEE BigData, 2015)

Expressing and Processing Path-Centric XML Queries. - Huayu Wu 001; Dongxu Shao; Ruiming Tang; Tok Wang Ling; Stéphane Bressan (DEXA (2), 2015)

An efficient and truthful pricing mechanism for team formation in crowdsourcing markets. - Qing Liu 020; Tie Luo 001; Ruiming Tang; Stéphane Bressan (ICC, 2015)

Valuating Queries for Data Trading in Modern Cities. - Ruiming Tang; Huayu Wu 001; Xiuqiang He 001; Stéphane Bressan (ICDM Workshops, 2015)

On efficient conditioning of probabilistic relational databases. - Hong Zhu 003; Caicai Zhang; Zhongsheng Cao; Ruiming Tang (Knowl. Based Syst., 2016)

A Framework for Sampling-Based XML Data Pricing. - Ruiming Tang; Antoine Amarilli; Pierre Senellart; Stéphane Bressan (Trans. Large Scale Data Knowl. Centered Syst., 2016)

A Graph-Based Push Service Platform. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (DASFAA (2), 2017)

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001 (IJCAI, 2017)

Holistic Neural Network for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2017)

Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Huifeng Guo; Xiuqiang He 001 (DASFAA (2), 2018)

Field-aware probabilistic embedding neural network for CTR prediction. - Weiwen Liu; Ruiming Tang; Jiajin Li; Jinkai Yu; Huifeng Guo; Xiuqiang He 001; Shengyu Zhang 002 (RecSys, 2018)

Collaborative Filtering with Graph-based Implicit Feedback. - Minzhe Niu; Weinan Zhang 001; Yanru Qu; Xuezhi Cao; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (CoRR, 2018)

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction. - Huifeng Guo; Ruiming Tang; Yunming Ye; Zhenguo Li; Xiuqiang He 001; Zhenhua Dong (CoRR, 2018)

An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (CoRR, 2018)

Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling. - Feng Liu 034; Ruiming Tang; Xutao Li; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang (CoRR, 2018)

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. - Haokun Chen; Xinyi Dai; Han Cai; Weinan Zhang 001; Xuejian Wang; Ruiming Tang; Yuzhou Zhang; Yong Yu 001 (AAAI, 2019)

Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning. - Jianhua Han; Yong Yu 001; Feng Liu 034; Ruiming Tang; Yuzhou Zhang (AIAM (IEEE), 2019)

Multi-graph Convolution Collaborative Filtering. - Jianing Sun; Yingxue Zhang 001; Chen Ma 001; Mark Coates; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (ICDM, 2019)

A Novel KNN Approach for Session-Based Recommendation. - Huifeng Guo; Ruiming Tang; Yunming Ye; Feng Liu 034; Yuzhou Zhang (PAKDD (2), 2019)

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems. - Huifeng Guo; Jinkai Yu; Qing Liu 020; Ruiming Tang; Yuzhou Zhang (RecSys, 2019)

Order-aware Embedding Neural Network for CTR Prediction. - Wei Guo 006; Ruiming Tang; Huifeng Guo; Jianhua Han; Wen Yang 001; Yuzhou Zhang (SIGIR, 2019)

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction. - Bin Liu 072; Ruiming Tang; Yingzhi Chen; Jinkai Yu; Huifeng Guo; Yuzhou Zhang (WWW, 2019)

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. - Yanru Qu; Bohui Fang; Weinan Zhang 001; Ruiming Tang; Minzhe Niu; Huifeng Guo; Yong Yu 001; Xiuqiang He 001 (ACM Trans. Inf. Syst., 2019)

TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation. - Bo Chen 023; Wei Guo 006; Ruiming Tang; Xin Xin 003; Yue Ding 001; Xiuqiang He 001; Dong Wang 024 (CIKM, 2020)

U-rank: Utility-oriented Learning to Rank with Implicit Feedback. - Xinyi Dai; Jiawei Hou; Qing Liu 020; Yunjia Xi; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Jun Wang 012; Yong Yu 001 (CIKM, 2020)

AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction. - Farhan Khawar; Xu Hang; Ruiming Tang; Bin Liu 072; Zhenguo Li; Xiuqiang He 001 (CIKM, 2020)

Personalized Re-ranking with Item Relationships for E-commerce. - Weiwen Liu; Qing Liu 020; Ruiming Tang; Junyang Chen 001; Xiuqiang He 001; Pheng-Ann Heng (CIKM, 2020)

GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems. - Yishi Xu; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Mark Coates (CIKM, 2020)

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. - Weijun Hong; Guilin Li 001; Weinan Zhang 001; Ruiming Tang; Yunhe Wang 001; Zhenguo Li; Yong Yu 001 (IJCAI, 2020)

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. - Bin Liu 072; Chenxu Zhu; Guilin Li 001; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (KDD, 2020)

Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. - Chen Ma 001; Liheng Ma; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001; Mark Coates (KDD, 2020)

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. - Jianing Sun; Wei Guo 006; Dengcheng Zhang; Yingxue Zhang 001; Florence Regol; Yaochen Hu 001; Huifeng Guo; Ruiming Tang; Han Yuan; Xiuqiang He 001; Mark Coates (KDD, 2020)

Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (PAKDD (1), 2020)

Multi-Branch Convolutional Network for Context-Aware Recommendation. - Wei Guo 006; Can Zhang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. - Bin Liu 072; Niannan Xue; Huifeng Guo; Ruiming Tang; Stefanos Zafeiriou; Xiuqiang He 001; Zhenguo Li (SIGIR, 2020)

Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. - Kelong Mao; Xi Xiao; Jieming Zhu; Biao Lu; Ruiming Tang; Xiuqiang He 001 (SIGIR, 2020)

Neighbor Interaction Aware Graph Convolution Networks for Recommendation. - Jianing Sun; Yingxue Zhang 001; Wei Guo 006; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Chen Ma 001; Mark Coates (SIGIR, 2020)

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. - Sijin Zhou; Xinyi Dai; Haokun Chen; Weinan Zhang 001; Kan Ren; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (SIGIR, 2020)

End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. - Feng Liu 034; Huifeng Guo; Xutao Li; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WSDM, 2020)

Dual-attentional Factorization-Machines based Neural Network for User Response Prediction. - Feng Liu 034; Wei Guo 006; Huifeng Guo; Ruiming Tang; Yunming Ye; Xiuqiang He 001 (WWW (Companion Volume), 2020)

Personalized Re-ranking for Improving Diversity in Live Recommender Systems. - Yichao Wang 002; Xiangyu Zhang; Zhirong Liu; Zhenhua Dong; Xinhua Feng; Ruiming Tang; Xiuqiang He 001 (CoRR, 2020)

A Practical Incremental Method to Train Deep CTR Models. - Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2020)

AutoDis: Automatic Discretization for Embedding Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Zhenguo Li; Xiuqiang He 001 (CoRR, 2020)

Top-aware reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Huifeng Guo; Xutao Li; Yunming Ye; Xiuqiang He 001 (Neurocomputing, 2020)

State representation modeling for deep reinforcement learning based recommendation. - Feng Liu 034; Ruiming Tang; Xutao Li; Weinan Zhang 001; Yunming Ye; Haokun Chen; Huifeng Guo; Yuzhou Zhang; Xiuqiang He 001 (Knowl. Based Syst., 2020)

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models. - Bo Chen 023; Yichao Wang 002; Zhirong Liu; Ruiming Tang; Wei Guo 006; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Xiuqiang He 001 (CIKM, 2021)

Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. - Yue Ding 001; Yuxiang Shi; Bo Chen 023; Chenghua Lin; Hongtao Lu 001; Jie Li 002; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Extracting Attentive Social Temporal Excitation for Sequential Recommendation. - Yunzhe Li 001; Yue Ding 001; Bo Chen 023; Xin Xin 003; Yule Wang; Yuxiang Shi; Ruiming Tang; Dong Wang 024 (CIKM, 2021)

Deep Learning for Click-Through Rate Estimation. - Weinan Zhang 001; Jiarui Qin; Wei Guo 006; Ruiming Tang; Xiuqiang He 001 (IJCAI, 2021)

An Embedding Learning Framework for Numerical Features in CTR Prediction. - Huifeng Guo; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Zhenguo Li; Xiuqiang He 001 (KDD, 2021)

Dual Graph enhanced Embedding Neural Network for CTR Prediction. - Wei Guo 006; Rong Su 003; Renhao Tan; Huifeng Guo; Yingxue Zhang 001; Zhirong Liu; Ruiming Tang; Xiuqiang He 001 (KDD, 2021)

Retrieval & Interaction Machine for Tabular Data Prediction. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (KDD, 2021)

3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. - Xiaoqiang Zhu; Kuang-chih Lee; Guorui Zhou; Biye Jiang; Zhe Wang; Ruiming Tang; Kan Ren; Qingyao Ai; Weinan Zhang 001 (KDD, 2021)

ModularNAS: Towards Modularized and Reusable Neural Architecture Search. - Yunfeng Lin; Guilin Li 001; Xing Zhang; Weinan Zhang 001; Bo Chen 023; Ruiming Tang; Zhenguo Li; Jiashi Feng; Yong Yu 001 (MLSys, 2021)

On Effective Scheduling of Model-based Reinforcement Learning. - Hang Lai; Jian Shen 003; Weinan Zhang 001; Yimin Huang; Xing Zhang; Ruiming Tang; Yong Yu 001; Zhenguo Li (NeurIPS, 2021)

Learning to Build High-Fidelity and Robust Environment Models. - Weinan Zhang 001; Zhengyu Yang 002; Jian Shen 003; Minghuan Liu; Yimin Huang; Xing Zhang; Ruiming Tang; Zhenguo Li (ECML/PKDD (1), 2021)

ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table. - Huifeng Guo; Wei Guo 006; Yong Gao; Ruiming Tang; Xiuqiang He 001; Wenzhi Liu (SIGIR, 2021)

A Graph-Enhanced Click Model for Web Search. - Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Shuai Li 010; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Yong Yu 001 (SIGIR, 2021)

An Adversarial Imitation Click Model for Information Retrieval. - Xinyi Dai; Jianghao Lin; Weinan Zhang 001; Shuai Li 010; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Jianye Hao; Jun Wang 012; Yong Yu 001 (WWW, 2021)

QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. - Handong Ma; Jiawei Hou; Chenxu Zhu; Weinan Zhang 001; Ruiming Tang; Jincai Lai; Jieming Zhu; Xiuqiang He 001; Yong Yu 001 (IEEE Access, 2021)

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2021)

Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning. - Weiwen Liu; Feng Liu 034; Ruiming Tang; Ben Liao; Guangyong Chen; Pheng-Ann Heng (CoRR, 2021)

Context-aware Reranking with Utility Maximization for Recommendation. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Qing Liu 020; Xiuqiang He 001; Yong Yu 001 (CoRR, 2021)

Content Filtering Enriched GNN Framework for News Recommendation. - Yong Gao; Huifeng Guo; Dandan Lin; Yingxue Zhang 001; Ruiming Tang; Xiuqiang He 001 (CoRR, 2021)

Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation. - Yankai Chen 001; Yifei Zhang; Yingxue Zhang 001; Huifeng Guo; Jingjie Li; Ruiming Tang; Xiuqiang He 001; Irwin King (CoRR, 2021)

Numerical Feature Representation with Hybrid N-ary Encoding. - Bo Chen 023; Huifeng Guo; Weiwen Liu; Yue Ding 001; Yunzhe Li 001; Wei Guo 006; Yichao Wang 002; Zhicheng He 001; Ruiming Tang; Rui Zhang 003 (CIKM, 2022)

LCD: Adaptive Label Correction for Denoising Music Recommendation. - Quanyu Dai; Yalei Lv; Jieming Zhu; Junjie Ye; Zhenhua Dong; Rui Zhang 003; Shu-Tao Xia; Ruiming Tang (CIKM, 2022)

IntTower: The Next Generation of Two-Tower Model for Pre-Ranking System. - Xiangyang Li; Bo Chen 023; Huifeng Guo; Jingjie Li; Chenxu Zhu; Xiang Long; Sujian Li; Yichao Wang 002; Wei Guo 006; Longxia Mao; Jinxing Liu; Zhenhua Dong; et al. (CIKM, 2022)

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Hong Zhu 003; Huifeng Guo; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001 (CIKM, 2022)

Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. - Haolun Wu; Chen Ma 001; Yingxue Zhang 001; Xue Liu 001; Ruiming Tang; Mark Coates (CIKM, 2022)

Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. - Wei Xia 001; Weiwen Liu; Yifan Liu 008; Ruiming Tang (CIKM, 2022)

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

Automatical Graph-based Knowledge Tracing. - Ting Long; Yunfei Liu 002; Weinan Zhang 001; Wei Xia 001; Zhicheng He 001; Ruiming Tang; Yong Yu 001 (EDM, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. - Fuyuan Lyu; Xing Tang 007; Huifeng Guo; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003; Xue Liu 001 (ICDE, 2022)

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation. - Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (ICDM, 2022)

Neural Re-ranking in Multi-stage Recommender Systems: A Review. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Fei Sun; Bo Chen 023; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang (IJCAI, 2022)

An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. - Yankai Chen 001; Yifei Zhang; Huifeng Guo; Ruiming Tang; Irwin King (AACL/IJCNLP (2), 2022)

Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. - Yankai Chen 001; Huifeng Guo; Yingxue Zhang 001; Chen Ma 001; Ruiming Tang; Jingjie Li; Irwin King (KDD, 2022)

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. - Zhicheng He 001; Wei Xia 001; Kai Dong; Huifeng Guo; Ruiming Tang; Dingyin Xia; Rui Zhang 003 (KDD, 2022)

CausalInt: Causal Inspired Intervention for Multi-Scenario Recommendation. - Yichao Wang 002; Huifeng Guo; Bo Chen 023; Weiwen Liu; Zhirong Liu; Qi Zhang 001; Zhicheng He 001; Hongkun Zheng; Weiwei Yao; Muyu Zhang; Zhenhua Dong; Ruiming Tang (KDD, 2022)

4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. - Roberto Corizzo; Junfeng Ge; Colin Bellinger; Xiaoqiang Zhu; Paula Branco; Kuang-chih Lee; Nathalie Japkowicz; Ruiming Tang; Tao Zhuang; Han Zhu 001; Biye Jiang; Jiaxin Mao; et al. (KDD, 2022)

Neural Re-ranking for Multi-stage Recommender Systems. - Weiwen Liu; Jiarui Qin; Ruiming Tang; Bo Chen 023 (RecSys, 2022)

ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. - Guohao Cai; Jieming Zhu; Quanyu Dai; Zhenhua Dong; Xiuqiang He 001; Ruiming Tang; Rui Zhang 003 (SIGIR, 2022)

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. - Jiarui Qin; Jiachen Zhu 001; Bo Chen 023; Zhirong Liu; Weiwen Liu; Ruiming Tang; Rui Zhang 003; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2022)

Multi-Level Interaction Reranking with User Behavior History. - Yunjia Xi; Weiwen Liu; Jieming Zhu; Xilong Zhao; Xinyi Dai; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (SIGIR, 2022)

Multi-Behavior Sequential Transformer Recommender. - Enming Yuan; Wei Guo 006; Zhicheng He 001; Huifeng Guo; Chengkai Liu; Ruiming Tang (SIGIR, 2022)

Improving Knowledge Tracing with Collaborative Information. - Ting Long; Jiarui Qin; Jian Shen 003; Weinan Zhang 001; Wei Xia 001; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (WSDM, 2022)

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation. - Lu Wang; Ruiming Tang; Xiaofeng He; Xiuqiang He 001 (WSDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. - Yi Li; Jieming Zhu; Weiwen Liu; Liangcai Su; Guohao Cai; Qi Zhang 001; Ruiming Tang; Xi Xiao; Xiuqiang He 001 (WWW (Companion Volume), 2022)

Cross Pairwise Ranking for Unbiased Item Recommendation. - Qi Wan; Xiangnan He 001; Xiang Wang 010; Jiancan Wu; Wei Guo 006; Ruiming Tang (WWW, 2022)

Automated Machine Learning for Deep Recommender Systems: A Survey. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (CoRR, 2022)

Task Aligned Meta-learning based Augmented Graph for Cold-Start Recommendation. - Yuxiang Shi; Yue Ding 001; Bo Chen 023; Yuyang Huang; Ruiming Tang; Dong Wang 024 (CoRR, 2022)

A Brief History of Recommender Systems. - Zhenhua Dong; Zhe Wang; Jun Xu 001; Ruiming Tang; Jirong Wen (CoRR, 2022)

Click-through rate prediction using transfer learning with fine-tuned parameters. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001; Jianxi Yang (Inf. Sci., 2022)

AutoHash: Learning Higher-Order Feature Interactions for Deep CTR Prediction. - Niannan Xue; Bin Liu 072; Huifeng Guo; Ruiming Tang; Fengwei Zhou; Stefanos Zafeiriou; Yuzhou Zhang; Jun Wang 012; Zhenguo Li (IEEE Trans. Knowl. Data Eng., 2022)

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. - Xinyi Dai; Yunjia Xi; Weinan Zhang 001; Qing Liu 020; Ruiming Tang; Xiuqiang He 001; Jiawei Hou; Jun Wang 012; Yong Yu 001 (ACM Trans. Inf. Syst., 2022)

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. - Xianyu Chen; Jian Shen 003; Wei Xia 001; Jiarui Jin; Yakun Song; Weinan Zhang 001; Weiwen Liu; Menghui Zhu; Ruiming Tang; Kai Dong; Dingyin Xia; Yong Yu 001 (AAAI, 2023)

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. - Shiwei Li 002; Huifeng Guo; Lu Hou 002; Wei Zhang 197; Xing Tang 007; Ruiming Tang; Rui Zhang 003; Ruixuan Li 001 (AAAI, 2023)

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems. - Yuening Wang; Yingxue Zhang 001; Antonios Valkanas; Ruiming Tang; Chen Ma 001; Jianye Hao; Mark Coates (AAAI, 2023)

DFFM: Domain Facilitated Feature Modeling for CTR Prediction. - Wei Guo 006; Chenxu Zhu; Fan Yan; Bo Chen 023; Weiwen Liu; Huifeng Guo; Hongkun Zheng; Yong Liu 020; Ruiming Tang (CIKM, 2023)

Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. - Bowei He; Xu He; Renrui Zhang; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (CIKM, 2023)

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jian Shen 003; Renting Rui; Weinan Zhang 001; Xianyu Chen; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

HAMUR: Hyper Adapter for Multi-Domain Recommendation. - Xiaopeng Li; Fan Yan; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CIKM, 2023)

Diffusion Augmentation for Sequential Recommendation. - Qidong Liu 002; Fan Yan; Xiangyu Zhao 001; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Feng Tian 002 (CIKM, 2023)

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. - Weitong Ou; Bo Chen 023; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Wei Xia 001; Xuan Li; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. - Mingjia Yin; Hao Wang 076; Xiang Xu; Likang Wu; Sirui Zhao; Wei Guo 006; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CIKM, 2023)

Personalized Diversification for Neural Re-ranking in Recommendation. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Xinyi Dai; Ruiming Tang; Shuai Li 010; Weinan Zhang 001; Rui Zhang 003 (ICDE, 2023)

Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. - Haolun Wu; Yingxue Zhang 001; Chen Ma 001; Wei Guo 006; Ruiming Tang; Xue Liu 001; Mark Coates (ICDE, 2023)

A Survey on User Behavior Modeling in Recommender Systems. - Zhicheng He 001; Weiwen Liu; Wei Guo 006; Jiarui Qin; Yingxue Zhang 001; Yaochen Hu 001; Ruiming Tang (IJCAI, 2023)

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. - Jianghao Lin; Yanru Qu; Wei Guo 006; Xinyi Dai; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (KDD, 2023)

Hierarchical Projection Enhanced Multi-behavior Recommendation. - Chang Meng; Hengyu Zhang 001; Wei Guo 006; Huifeng Guo; Haotian Liu; Yingxue Zhang 001; Hongkun Zheng; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (KDD, 2023)

Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. - Weitong Ou; Bo Chen 023; Yingxuan Yang; Xinyi Dai; Weiwen Liu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (KDD, 2023)

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. - Hangyu Wang; Ting Long; Liang Yin; Weinan Zhang 001; Wei Xia 001; Qichen Hong; Dingyin Xia; Ruiming Tang; Yong Yu 001 (KDD, 2023)

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. - Yunjia Xi; Weiwen Liu; Yang Wang 019; Ruiming Tang; Weinan Zhang 001; Yue Zhu; Rui Zhang 003; Yong Yu 001 (KDD, 2023)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop. - Jieming Zhu; Guohao Cai; Junjie Huang; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001 (KDD, 2023)

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Xin Zhao 018; Ji-Rong Wen (NeurIPS, 2023)

Optimal Transport for Treatment Effect Estimation. - Hao Wang 049; Jiajun Fan; Zhichao Chen 001; Haoxuan Li 001; Weiming Liu 005; Tianqiao Liu; Quanyu Dai; Yichao Wang 002; Zhenhua Dong; Ruiming Tang (NeurIPS, 2023)

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. - Jing Wang 055; Mengchen Zhao; Wei Xia 001; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (PAKDD (3), 2023)

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. - Yujun Li; Xing Tang 007; Bo Chen 023; Yimin Huang; Ruiming Tang; Zhenguo Li (RecSys, 2023)

User Behavior Modeling with Deep Learning for Recommendation: Recent Advances. - Weiwen Liu; Wei Guo 006; Yong Liu 020; Ruiming Tang; Hao Wang 076 (RecSys, 2023)

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. - Ruiming Tang; Xiaoqiang Zhu; Junfeng Ge; Kuang-chih Lee; Biye Jiang; Xingxing Wang; Han Zhu 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. - Chuhan Wu; Qinglin Jia; Zhenhua Dong; Ruiming Tang (RecSys, 2023)

AutoTransfer: Instance Transfer for Cross-Domain Recommendations. - Jingtong Gao; Xiangyu Zhao 001; Bo Chen 023; Fan Yan; Huifeng Guo; Ruiming Tang (SIGIR, 2023)

Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. - Liangcai Su; Fan Yan; Jieming Zhu; Xi Xiao; Haoyi Duan; Zhou Zhao 001; Zhenhua Dong; Ruiming Tang (SIGIR, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations. - Yuhao Wang 006; Xiangyu Zhao 001; Bo Chen 023; Qidong Liu 002; Huifeng Guo; Huanshuo Liu; Yichao Wang 002; Rui Zhang 003; Ruiming Tang (SIGIR, 2023)

Robust Causal Inference for Recommender System to Overcome Noisy Confounders. - Zhiheng Zhang; Quanyu Dai; Xu Chen 017; Zhenhua Dong; Ruiming Tang (SIGIR, 2023)

FINAL: Factorized Interaction Layer for CTR Prediction. - Jieming Zhu; Qinglin Jia; Guohao Cai; Quanyu Dai; Jingjie Li; Zhenhua Dong; Ruiming Tang; Rui Zhang 003 (SIGIR, 2023)

An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. - Lingyue Fu; Jianghao Lin; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (WSDM, 2023)

AutoML for Deep Recommender Systems: Fundamentals and Advances. - Ruiming Tang; Bo Chen 023; Yejing Wang; Huifeng Guo; Yong Liu 020; Wenqi Fan; Xiangyu Zhao 001 (WSDM, 2023)

A Bird's-eye View of Reranking: From List Level to Page Level. - Yunjia Xi; Jianghao Lin; Weiwen Liu; Xinyi Dai; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang; Yong Yu 001 (WSDM, 2023)

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. - Chenxu Zhu; Bo Chen 023; Huifeng Guo; Hang Xu 004; Xiangyang Li; Xiangyu Zhao 001; Weinan Zhang 001; Yong Yu 001; Ruiming Tang (WSDM, 2023)

Compressed Interaction Graph based Framework for Multi-behavior Recommendation. - Wei Guo 006; Chang Meng; Enming Yuan; Zhicheng He 001; Huifeng Guo; Yingxue Zhang 001; Bo Chen 023; Yaochen Hu 001; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (WWW, 2023)

Dynamically Expandable Graph Convolution for Streaming Recommendation. - Bowei He; Xu He; Yingxue Zhang 001; Ruiming Tang; Chen Ma 001 (WWW, 2023)

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. - Xiaofan Liu; Qinglin Jia; Chuhan Wu; Jingjie Li; Quanyu Dai; Lin Bo; Rui Zhang 003; Ruiming Tang (WWW (Companion Volume), 2023)

Integrated Ranking for News Feed with Reinforcement Learning. - Menghui Zhu; Wei Xia 001; Weiwen Liu; Yifan Liu 008; Ruiming Tang; Weinan Zhang 001 (WWW (Companion Volume), 2023)

Multi-Task Deep Recommender Systems: A Survey. - Yuhao Wang 006; Ha Tsz Lam; Yi Wong; Ziru Liu; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (CoRR, 2023)

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. - Xu Chen 017; Jingsen Zhang; Lei Wang 198; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Rui Zhang 003; Li Chen; Ji-Rong Wen (CoRR, 2023)

CTRL: Connect Tabular and Language Model for CTR Prediction. - Xiangyang Li; Bo Chen 023; Lu Hou 002; Ruiming Tang (CoRR, 2023)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; Ruiming Tang; Weinan Zhang 001 (CoRR, 2023)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Rui Zhang 003; Yong Yu 001 (CoRR, 2023)

Contrastive Multi-view Framework for Customer Lifetime Value Prediction. - Chuhan Wu; Jingjie Li; Qinglin Jia; Hong Zhu 003; Yuan Fang; Ruiming Tang (CoRR, 2023)

Time-aligned Exposure-enhanced Model for Click-Through Rate Prediction. - Hengyu Zhang 001; Chang Meng; Wei Guo 006; Huifeng Guo; Jieming Zhu; Guangpeng Zhao; Ruiming Tang; Xiu Li 001 (CoRR, 2023)

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CoRR, 2023)

Ten Challenges in Industrial Recommender Systems. - Zhenhua Dong; Jieming Zhu; Weiwen Liu; Ruiming Tang (CoRR, 2023)

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2023)

Towards Automated Negative Sampling in Implicit Recommendation. - Fuyuan Lyu; Yaochen Hu 001; Xing Tang 007; Yingxue Zhang 001; Ruiming Tang; Xue Liu 001 (CoRR, 2023)

Music-PAW: Learning Music Representations via Hierarchical Part-whole Interaction and Contrast. - Dong Yao; Shengyu Zhang 001; Zhou Zhao 001; Jieming Zhu; Liqun Deng; Wenqiao Zhang; Zhenhua Dong; Ruiming Tang; Xin Jiang 002 (CoRR, 2023)

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. - Haokun Chen; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Xiuqiang He 001; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

AIM: Automatic Interaction Machine for Click-Through Rate Prediction. - Chenxu Zhu; Bo Chen 023; Weinan Zhang 001; Jincai Lai; Ruiming Tang; Xiuqiang He 001; Zhenguo Li; Yong Yu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Learning to Retrieve User Behaviors for Click-through Rate Estimation. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Guangpeng Zhao; Hao Li; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (ACM Trans. Inf. Syst., 2023)

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations. - Pengyue Jia; Yichao Wang 002; Shanru Lin; Xiaopeng Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (AAAI, 2024)

Learning to Edit: Aligning LLMs with Knowledge Editing. - Yuxin Jiang; Yufei Wang 005; Chuhan Wu; Wanjun Zhong; Xingshan Zeng; Jiahui Gao; Liangyou Li; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Qun Liu 001; Wei Wang (ACL (1), 2024)

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Chuhan Wu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CCIR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Wanyu Wang; Yuyang Ye 002; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CIKM, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. - Lingyue Fu; Hao Guan; Kounianhua Du; Jianghao Lin; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yasheng Wang; Yong Yu 001 (CIKM, 2024)

HierRec: Scenario-Aware Hierarchical Modeling for Multi-scenario Recommendations. - Jingtong Gao; Bo Chen 023; Menghui Zhu; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Yichao Wang 002; Huifeng Guo; Ruiming Tang (CIKM, 2024)

Retrieval-Oriented Knowledge for Click-Through Rate Prediction. - Huanshuo Liu; Bo Chen 023; Menghui Zhu; Jianghao Lin; Jiarui Qin; Hao Zhang 048; Yang Yang 001; Ruiming Tang (CIKM, 2024)

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CIKM, 2024)

Active Explainable Recommendation with Limited Labeling Budgets. - Jingsen Zhang; Xiaohe Bo; Chenxi Wang; Quanyu Dai; Zhenhua Dong; Ruiming Tang; Xu Chen 017 (ICASSP, 2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Yunjia Xi; Hangyu Wang; Xinyi Dai; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (KDD, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (KDD, 2024)

Multi-sourced Integrated Ranking with Exposure Fairness. - Yifan Liu 008; Weiwen Liu; Wei Xia 001; Jieming Zhu; Weinan Zhang 001; Zhenhua Dong; Yang Wang 019; Ruiming Tang; Rui Zhang 003; Yong Yu 001 (PAKDD (5), 2024)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. - Yu Liu 083; Qinglin Jia; Shuting Shi; Chuhan Wu; Zhaocheng Du; Zheng Xie 001; Ruiming Tang; Muyu Zhang; Ming Li 005 (RecSys, 2024)

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. - Hangyu Wang; Jianghao Lin; Xiangyang Li; Bo Chen 023; Chenxu Zhu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (RecSys, 2024)

AIE: Auction Information Enhanced Framework for CTR Prediction in Online Advertising. - Yang Yang 001; Bo Chen 023; Chenxu Zhu; Menghui Zhu; Xinyi Dai; Huifeng Guo; Muyu Zhang; Zhenhua Dong; Ruiming Tang (RecSys, 2024)

User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. - Hengchang Hu; Wei Guo 006; Xu Liu 014; Yong Liu 020; Ruiming Tang; Rui Zhang 003; Min-Yen Kan (WSDM, 2024)

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. - Yuhao Wang 006; Ziru Liu; Yichao Wang 002; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang (WSDM, 2024)

IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. - Kexin Zhang 007; Yichao Wang 002; Xiu Li 001; Ruiming Tang; Rui Zhang 003 (WSDM, 2024)

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. - Yifan Liu 008; Wei Xia 001; Weiwen Liu; Menghui Zhu; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (WWW (Companion Volume), 2024)

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. - Zhaocheng Du; Junhao Chen; Qinglin Jia; Chuhan Wu; Jieming Zhu; Zhenhua Dong; Ruiming Tang (WWW (Companion Volume), 2024)

Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. - Junjie Huang; Guohao Cai; Jieming Zhu; Zhenhua Dong; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW (Companion Volume), 2024)

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. - Jianghao Lin; Bo Chen 023; Hangyu Wang; Yunjia Xi; Yanru Qu; Xinyi Dai; Kangning Zhang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Jianghao Lin; Rong Shan; Chenxu Zhu; Kounianhua Du; Bo Chen 023; Shigang Quan; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (WWW, 2024)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. - Jiachen Zhu 001; Yichao Wang 002; Jianghao Lin; Jiarui Qin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW, 2024)

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. - Qingyao Li; Lingyue Fu; Weiming Zhang; Xianyu Chen; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. - Jiarui Qin; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Understanding the planning of LLM agents: A survey. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Hao Wang 076; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

Aligning Crowd Feedback via Distributional Preference Reward Modeling. - Dexun Li; Cong Zhang; Kuicai Dong; Derrick-Goh-Xin Deik; Ruiming Tang; Yong Liu 020 (CoRR, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

WESE: Weak Exploration to Strong Exploitation for LLM Agents. - Xu Huang 008; Weiwen Liu; Xiaolong Chen; Xingmei Wang 001; Defu Lian; Yasheng Wang; Ruiming Tang; Enhong Chen (CoRR, 2024)

CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. - Kounianhua Du; Renting Rui; Huacan Chai; Lingyue Fu; Wei Xia 001; Yasheng Wang; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

CELA: Cost-Efficient Language Model Alignment for CTR Prediction. - Xingmei Wang 001; Weiwen Liu; Xiaolong Chen; Qi Liu 003; Xu Huang 008; Defu Lian; Xiangyang Li; Yasheng Wang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Qiji Zhang; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. - Yuang Zhao; Zhaocheng Du; Qinglin Jia; Linxuan Zhang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

Evaluating the External and Parametric Knowledge Fusion of Large Language Models. - Hao Zhang 048; Yuyang Zhang; Xiaoguang Li; Wenxuan Shi; Haonan Xu; Huanshuo Liu; Yasheng Wang; Lifeng Shang; Qun Liu 001; Yong Liu 020; Ruiming Tang (CoRR, 2024)

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement. - Kounianhua Du; Jizheng Chen; Jianghao Lin; Menghui Zhu; Bo Chen 023; Shuai Li 010; Ruiming Tang (CoRR, 2024)

LLM-enhanced Reranking in Recommender Systems. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Zijian Zhang 009; Wanyu Wang; Yuyang Ye 002; Shanru Lin; Huifeng Guo; Ruiming Tang (CoRR, 2024)

LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation. - Yuhao Wang 006; Yichao Wang 002; Zichuan Fu; Xiangyang Li; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. - Jizheng Chen; Kounianhua Du; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001 (CoRR, 2024)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Yichun Yin; Hao Zhang 048; Yong Liu 020; Yasheng Wang; Ruiming Tang (CoRR, 2024)

Entropy Law: The Story Behind Data Compression and LLM Performance. - Mingjia Yin; Chuhan Wu; Yufei Wang 005; Hao Wang 076; Wei Guo 006; Yasheng Wang; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation. - Jiachen Zhu 001; Jianghao Lin; Xinyi Dai; Bo Chen 023; Rong Shan; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

Performance Law of Large Language Models. - Chuhan Wu; Ruiming Tang (CoRR, 2024)

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models. - Yunjia Xi; Weiwen Liu; Jianghao Lin; Muyan Weng; Xiaoling Cai; Hong Zhu 003; Jieming Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Xinyi Dai; Ruiming Tang; Yasheng Wang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

Beyond Positive History: Re-ranking with List-level Hybrid Feedback. - Muyan Weng; Yunjia Xi; Weiwen Liu; Bo Chen 023; Jianghao Lin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

GUI Agents with Foundation Models: A Comprehensive Survey. - Shuai Wang 020; Weiwen Liu; Jingxuan Chen; Weinan Gan; Xingshan Zeng; Shuai Yu; Xinlong Hao; Kun Shao; Yasheng Wang; Ruiming Tang (CoRR, 2024)

LIBER: Lifelong User Behavior Modeling Based on Large Language Models. - Chenxu Zhu; Shigang Quan; Bo Chen 023; Jianghao Lin; Xiaoling Cai; Hong Zhu 003; Xiangyang Li; Yunjia Xi; Weinan Zhang 001; Ruiming Tang (CoRR, 2024)

Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. - Tingjia Shen; Hao Wang 076; Chuhan Wu; Jin Yao Chin; Wei Guo 006; Yong Liu 020; Huifeng Guo; Defu Lian; Ruiming Tang; Enhong Chen (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. - Pengyue Jia; Zhaocheng Du; Yichao Wang 001; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li; Xiangyang Li; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. - Xiaopeng Li; Jingtong Gao; Pengyue Jia; Yichao Wang 001; Wanyu Wang; Yejing Wang; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

An Automatic Graph Construction Framework based on Large Language Models for Recommendation. - Rong Shan; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Menghui Zhu; Kangning Zhang; Jieming Zhu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. - Ziru Liu; Kecheng Chen; Fengyi Song; Bo Chen 023; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (Knowl. Inf. Syst., 2024)

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation. - Chang Meng; Ziqi Zhao; Wei Guo 006; Yingxue Zhang 001; Haolun Wu; Chen Gao 001; Dong Li 016; Xiu Li 001; Ruiming Tang (ACM Trans. Inf. Syst., 2024)

A Survey on Bid Optimization in Real-Time Bidding Display Advertising. - Weitong Ou; Bo Chen 023; Xinyi Dai; Weinan Zhang 001; Weiwen Liu; Ruiming Tang; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

Embedding Compression in Recommender Systems: A Survey. - Shiwei Li 002; Huifeng Guo; Xing Tang 007; Ruiming Tang; Lu Hou 002; Ruixuan Li 001; Rui Zhang 003 (ACM Comput. Surv., 2024)

A Comprehensive Survey on Automated Machine Learning for Recommendations. - Bo Chen 023; Xiangyu Zhao 001; Yejing Wang; Wenqi Fan; Huifeng Guo; Ruiming Tang (Trans. Recomm. Syst., 2024)

Utility-Oriented Reranking with Counterfactual Context. - Yunjia Xi; Weiwen Liu; Xinyi Dai; Ruiming Tang; Qing Liu 020; Weinan Zhang 001; Yong Yu 001 (ACM Trans. Knowl. Discov. Data, 2024)

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. - Jizheng Chen; Kounianhua Du; Xinyi Dai; Weiming Zhang; Xihuai Wang; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (ACL (1), 2025)

Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. - Kounianhua Du; Hanjing Wang; Jianxing Liu; Jizheng Chen; Xinyi Dai; Yasheng Wang; Ruiming Tang; Yong Yu 001; Jun Wang 012; Weinan Zhang 001 (ACL (Findings), 2025)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction. - Yuxin Jiang; Yufei Wang 005; Chuhan Wu; Xinyi Dai; Yan Xu; Weinan Gan; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Wei Wang (ACL (Findings), 2025)

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. - Qingyao Li; Xinyi Dai; Xiangyang Li; Weinan Zhang 001; Yasheng Wang; Ruiming Tang; Yong Yu 001 (ACL (Findings), 2025)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Hao Zhang 048; Xinyi Dai; Yasheng Wang; Ruiming Tang (ACL (1), 2025)

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger. - Wenjun Li; Dexun Li; Kuicai Dong; Cong Zhang; Hao Zhang 048; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Liu 020 (ACL (1), 2025)

Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. - Qiyuan Zhang; Yufei Wang 005; Yuxin Jiang; Liangyou Li; Chuhan Wu; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ACL (1), 2025)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations. - Wenlin Zhang; Chuhan Wu; Xiangyang Li; Yuhao Wang 006; Kuicai Dong; Yichao Wang 002; Xinyi Dai; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (COLING, 2025)

Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization. - Yuxin Jiang; Bo Huang; Yufei Wang 005; Xingshan Zeng; Liangyou Li; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Wei Wang (ICLR, 2025)

ToolACE: Winning the Points of LLM Function Calling. - Weiwen Liu; Xu Huang 008; Xingshan Zeng; Xinlong Hao; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Zhengying Liu; Yuanqing Yu; Zezhong Wang 004; Yuxian Wang; et al. (ICLR, 2025)

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References. - Qiyuan Zhang; Yufei Wang 005; Tiezheng Yu; Yuxin Jiang; Chuhan Wu; Liangyou Li; Yasheng Wang; Xin Jiang 002; Lifeng Shang; Ruiming Tang; Fuyuan Lyu; Chen Ma 001 (ICLR, 2025)

Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. - Renting Rui; Yunjia Xi; Weiwen Liu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. - Yunjia Xi; Hangyu Wang; Bo Chen 023; Jianghao Lin; Menghui Zhu; Weiwen Liu; Ruiming Tang; Zhewei Wei; Weinan Zhang 001; Yong Yu 001 (SIGIR, 2025)

LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations. - Jingtong Gao; Bo Chen 023; Xiangyu Zhao 001; Weiwen Liu; Xiangyang Li; Yichao Wang 002; Wanyu Wang; Huifeng Guo; Ruiming Tang (WWW, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 002; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

HyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation. - Xu Huang 008; Xiaolong Chen; Yichao Wang 002; Weiwen Liu; Yang Yang 001; Xingmei Wang 001; Defu Lian; Ruiming Tang (WWW (Companion Volume), 2025)

Joint Modeling in Deep Recommender Systems. - Pengyue Jia; Jingtong Gao; Yejing Wang; Yuhao Wang 006; Xiaopeng Li; Qidong Liu 002; Yichao Wang 002; Bo Chen 023; Huifeng Guo; Ruiming Tang (WWW (Companion Volume), 2025)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. - Hao Wang 076; Wei Guo 006; Luankang Zhang; Jin Yao Chin; Yufei Ye; Huifeng Guo; Yong Liu 020; Defu Lian; Ruiming Tang; Enhong Chen (WWW (Companion Volume), 2025)

FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. - Yufei Ye; Wei Guo 006; Jin Yao Chin; Hao Wang 076; Hong Zhu 003; Xi Lin; Yuyang Ye 002; Yong Liu 020; Ruiming Tang; Defu Lian; Enhong Chen (WWW (Companion Volume), 2025)

MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents. - Kuicai Dong; Yujing Chang; Derrick-Goh-Xin Deik; Dexun Li; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

A Survey on Multi-Turn Interaction Capabilities of Large Language Models. - Chen Zhang 003; Xinyi Dai; Yaxiong Wu 005; Qu Yang; Yasheng Wang; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. - Rong Shan; Jiachen Zhu 001; Jianghao Lin; Chenxu Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 001; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

LLM4Tag: Automatic Tagging System for Information Retrieval via Large Language Models. - Ruiming Tang; Chenxu Zhu; Bo Chen 023; Weipeng Zhang; Menghui Zhu; Xinyi Dai; Huifeng Guo (CoRR, 2025)

Joint Modeling in Recommendations: A Survey. - Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Jingtong Gao; Yuhao Wang 006; Xiaopeng Li; Pengyue Jia; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2025)

Towards efficient and effective unlearning of large language models for recommendation. - Hangyu Wang; Jianghao Lin; Bo Chen 023; Yang Yang 001; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (Frontiers Comput. Sci., 2025)

How Can Recommender Systems Benefit from Large Language Models: A Survey. - Jianghao Lin; Xinyi Dai; Yunjia Xi; Weiwen Liu; Bo Chen 023; Hao Zhang 048; Yong Liu 020; Chuhan Wu; Xiangyang Li; Chenxu Zhu; Huifeng Guo; Yong Yu 001; et al. (ACM Trans. Inf. Syst., 2025)

ToolACE-R: Tool Learning with Adaptive Self-Refinement. - Xingshan Zeng; Weiwen Liu; Xu Huang 008; Zezhong Wang 004; Lingzhi Wang 001; Liangyou Li; Yasheng Wang; Lifeng Shang; Xin Jiang 002; Ruiming Tang; Qun Liu 001 (CoRR, 2025)

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing. - Lingyue Fu; Ting Long; Jianghao Lin; Wei Xia 001; Xinyi Dai; Ruiming Tang; Yasheng Wang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs. - Yaxiong Wu 005; Sheng Liang; Chen Zhang 003; Yichao Wang 002; Yongyue Zhang; Huifeng Guo; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

Large language models make sample-efficient recommender systems. - Jianghao Lin; Xinyi Dai; Rong Shan; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (Frontiers Comput. Sci., 2025)

Advancing and Benchmarking Personalized Tool Invocation for LLMs. - Xu Huang 008; Yuefeng Huang; Weiwen Liu; Xingshan Zeng; Yasheng Wang; Ruiming Tang; Hong Xie 004; Defu Lian (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. - Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang 001; Yichao Wang 002; Zhaocheng Du; Huifeng Guo; Yong Liu 020; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution. - Xu Huang 008; Weiwen Liu; Xingshan Zeng; Yuefeng Huang; Xinlong Hao; Yuxian Wang; Yirong Zeng; Chuhan Wu; Yasheng Wang; Ruiming Tang; Defu Lian (CoRR, 2025)

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. - Weiming Zhang; Lingyue Fu; Qingyao Li; Kounianhua Du; Jianghao Lin; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. - Weiming Zhang; Qingyao Li; Xinyi Dai; Jizheng Chen; Kounianhua Du; Weinan Zhang 001; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation. - Yunjia Xi; Jianghao Lin; Menghui Zhu; Yongzhao Xiao; Zhuoying Ou; Jiaqi Liu; Tong Wan; Bo Chen 023; Weiwen Liu; Yasheng Wang; Ruiming Tang; Weinan Zhang 001; et al. (CoRR, 2025)

Align-GRAG: Reasoning-Guided Dual Alignment for Graph Retrieval-Augmented Generation. - Derong Xu; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Maolin Wang 001; Qidong Liu 002; Xiangyu Zhao 001; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Enhong Chen; Tong Xu 001 (CoRR, 2025)

Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering. - Kuicai Dong; Yujing Chang; Shijie Huang; Yasheng Wang; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

The Real Barrier to LLM Agent Usability is Agentic ROI. - Weiwen Liu; Jiarui Qin; Xu Huang 008; Xingshan Zeng; Yunjia Xi; Jianghao Lin; Chuhan Wu; Yasheng Wang; Lifeng Shang; Ruiming Tang; Defu Lian; Yong Yu 001; et al. (CoRR, 2025)

Towards Multi-Granularity Memory Association and Selection for Long-Term Conversational Agents. - Derong Xu; Yi Wen 001; Pengyue Jia; Yingyi Zhang; Wen-Lin Zhang; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001; Enhong Chen; Tong Xu 001 (CoRR, 2025)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. - Hanting Chen; Jiarui Qin; Jialong Guo; Tao Yuan; Yichun Yin; Huiling Zhen; Yasheng Wang; Jinpeng Li 004; Xiaojun Meng; Meng Zhang; Rongju Ruan; Zheyuan Bai; et al. (CoRR, 2025)

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. - Yehui Tang; Xiaosong Li; Fangcheng Liu; Wei Guo 006; Hang Zhou; Yaoyuan Wang; Kai Han 002; Xianzhi Yu; Jinpeng Li 004; Hui Zang; Fei Mi; Xiaojun Meng; et al. (CoRR, 2025)

Schema as Parameterized Tools for Universal Information Extraction. - Sheng Liang; Yongyue Zhang; Yaxiong Wu 005; Ruiming Tang; Yong Liu 020 (CoRR, 2025)

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey. - Jiachen Zhu 001; Menghui Zhu; Renting Rui; Rong Shan; Congmin Zheng; Bo Chen 023; Yunjia Xi; Jianghao Lin; Weiwen Liu; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

Generative Representational Learning of Foundation Models for Recommendation. - Zheli Zhou; Chenxu Zhu; Jianghao Lin; Bo Chen 023; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2025)

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition? - Xiangyang Li; Xiaopeng Li; Kuicai Dong; Quanhu Zhang; Rongju Ruan; Xinyi Dai; Xiaoshuang Liu; Shengchun Xu; Yasheng Wang; Ruiming Tang (CoRR, 2025)

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation. - Yifan Wang; Weinan Gan; Longtao Xiao; Jieming Zhu; Heng Chang; Haozhao Wang; Rui Zhang 003; Zhenhua Dong; Ruiming Tang; Ruixuan Li 001 (CoRR, 2025)

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models. - Jianghao Lin; Xinyuan Wang; Xinyi Dai; Menghui Zhu; Bo Chen 023; Ruiming Tang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2025)

FuXi-β: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model. - Yufei Ye; Wei Guo 006; Hao Wang 076; Hong Zhu 003; Yuyang Ye 002; Yong Liu 020; Huifeng Guo; Ruiming Tang; Defu Lian; Enhong Chen (CoRR, 2025)

OneLoc: Geo-Aware Generative Recommender Systems for Local Life Service. - Zhipeng Wei; Kuo Cai; Junda She; Jie Chen; Minghao Chen; Yang Zeng; Qiang Luo; Wencong Zeng; Ruiming Tang; Kun Gai; Guorui Zhou (CoRR, 2025)

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models. - Zichuan Fu; Xiangyang Li; Chuhan Wu; Yichao Wang 002; Kuicai Dong; Xiangyu Zhao 001; Mengchen Zhao; Huifeng Guo; Ruiming Tang (ACM Trans. Inf. Syst., 2025)