Publications

^* Co-first author ^# Corresponding author

2026

17 publications

FinHopper: A Progressive Multi-Hop Benchmark for Complex Financial Agents with Step-wise Evaluation

Yuxuan Wu, Miaopei Lin, Qiufang Ying, Lin Dan, Hao Zhao, Qirui Liu, Yuteng Shen, Shaohui Wu, Weihong Luo^#, Xiku Du, Xing Tang^#, Hao Chen^#

Findings of the 2026 Conference on Empirical Methods in Natural Language Processing, EMNLP Findings

PDF Project
Retrieve-then-Adapt: Test-Time Retrieval-Augmentation for Sequential Recommendation

CCF B

Xing Tang^*, Jingyang Bin^*, Ziqiang Cui^*, Xiaokun Zhang, Fuyuan Lyu, Jingyan Jiang, Dugang Liu, Chen Ma, Ruiming Tang, Xiuqiang He^#

Proceedings of the 35th ACM International Conference on Information and Knowledge Management, CIKM

PDF Code Project
Controllable Autoregressive Retrieval with Long-term Action Perception for Recommendations

CCF B

Jinwei Luo, Dugang Liu, Xing Tang, Xiuqiang He, Renjie Wei, Zhe Wu, Xin Huang, Siliang Huang, Hongcheng Fu

Proceedings of the 35th ACM International Conference on Information and Knowledge Management, CIKM
Decision-aware Data Recalibration for Multi-behavior Sequential Recommendation

CCF B

Yuhao Wu, Shenxian Xian, Dugang Liu, Xing Tang, Xiuqiang He, Zhong Ming

Proceedings of the 27th International Conference on Web Information Systems Engineering, WISE
ARTS: Autoregressive Tool Selection via Graph Neural Networks

CCF A

Zhuoqi Hu^*, Shiwei Li^*, Haozhao Wang, Xing Tang, Cheng Wang, Xiandi Luo, Yihao Ouyang, Yichen Li, Xiuqiang He, Ruixuan Li^#

Proceedings of the 34th ACM International Conference on Multimedia, MM

PDF Code Project
Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval

CCF B

Jingyang Bin^*, Xing Tang^*, Wei Zeng, Jianan Su, Kaixin Shen, Jingtong Wu, Chaohua Yang, Kailiang Hao, Dugang Liu, Xiuqiang He^#

Proceedings of the 20th ACM Conference on Recommender Systems, RecSys

PDF Project
AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction

CCF A

Kailiang Hao, Chaohua Yang, Wei Zeng, Jianan Su, Kaixin Shen, Jingtong Wu, Dugang Liu^#, Xing Tang^#, Jingyang Bin, Xiuqiang He, Zhong Ming

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Project
Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA

CCF A

Hao Chen^*, Xing Tang^*, Qirui Liu, Weijie Shi, Shiwei Li, Fuyuan Lyu, Weihong Luo, Xiku Du, Xiuqiang He

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Project
Less Is More: Elevating RAG via Performance-Driven Context Compression

CCF A

Ziqiang Cui, Yunpeng Weng, Xing Tang^#, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Yansen Zhang, Xiuqiang He^#, Rui Zhang, Chen Ma^#

Proceedings of the 43rd International Conference on Machine Learning, ICML

PDF Code Project
Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement

CCF A

Zexu Sun, Yongcheng Zeng, Erxue Min, Heyang Gao, Bokai Ji, Dugang Liu, Xing Tang, Xiuqiang He, Xu Chen

The 64th Annual Meeting of the Association for Computational Linguistics, ACL

PDF Code Project
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment

Guorui Li, Dugang Liu, Lei Li, Xing Tang, Zhong Ming

Findings of the 64th Annual Meeting of the Association for Computational Linguistics, ACL Findings

PDF Code Project
Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation

CCF A

Fuyuan Lyu, Zhentai Chen, Jingyan Jiang, Lingjie Li, Xing Tang^#, Xiuqiang He, Xue Liu

Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Code Project
FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction

CCF A

Jun Zhang^*, Dugang Liu, Xing Tang^*, Xiuqiang He, Ming Zhong

Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Code Project
BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity

CCF A

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Yichen Li, Xiuqiang He, Ruixuan Li

The Fourteenth International Conference on Learning Representations,ICLR

PDF Project
Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA

CCF A

Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Xiku Du, Weihong Luo, Xiuqiang He

Proceedings of the ACM Web Conference 2026,WebConf

PDF Project
MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm

CCF A

Xiao Fan, Jingyan Jiang, Zhaoru Chen, Fanding Huang, Xiao Chen, Qinting Jiang, Bowen Zhang, Xing Tang, Zhi Wang

Fortieth AAAI Conference on Artificial Intelligence, AAAI

PDF Code Project
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation

CCF B

Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xianyu Zhao, Xiuqiang He, Zhong Ming

Proceedings of the 19th ACM International Conference on Web Search and Data Mining, WSDM

PDF Code Project

2025

13 publications

Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation

CCF A

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

39th Annual Conference on Neural Information Processing Systems, NeurIPS

PDF Code Project
Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

CCF A

Ziqiang Cui, Yunpeng Weng, Xing Tang^#, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma^#

39th Annual Conference on Neural Information Processing Systems, NeurIPS

PDF Code Project
Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction

CCF A

Xing Tang, Chaohua Yang^*, Yuwen Fu^*, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Project
Timing is Important: Risk-Aware Fund Allocation Based on Time-Series Forecasting

CCF A

Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Code Project
Scenario Shared Instance Modeling for Click-through Rate Prediction

CCF A

Dugang Liu, Chaohua Yang, Yuwen Fu, Xing Tang, Gongfu Li, Fuyuan Lyu, Xiuqiang He, Zhong Ming

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Code Project
Invariant Deep Uplift Modeling for Incentives Assignment in Online Marketing via Probability of Necessity and Sufficiency

CCF A

Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang^#, Xiuqiang He^#

42nd International Conference on Machine Learning, ICML

PDF Project
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics

CCF A

Shiwei Li, Xiandi Luo, Xing Tang^#, Haozhao Wang^#, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li^#

42nd International Conference on Machine Learning, ICML

PDF Code Project
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning

CCF A

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

42nd International Conference on Machine Learning, ICML

PDF Code Project
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems

CCF A

Ziqiang Cui, Yunpeng Weng, Xing Tang^#, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma^#

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Code Project
Multi-Scenario Instance Embedding Learning for Deep Recommender Systems

CCF A

Chaohua Yang, Dugang Liu, Xing Tang, Yuwen Fu, Xiuqiang He, Xiangyu Zhao, Ming Zhong

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Code Project
A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation

CCF B

Xing Tang, Yunpeng Weng^*, Fuyuan Lyu^*, Dugang Liu, Xiuqiang He

Database Systems for Advanced Applications - 30th International Conference, DASFAA

PDF Project
Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation

CCF A

Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen

The Thirteenth International Conference on Learning Representations, ICLR

PDF Code Project
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

CCF B

Kexin Zhang, Fuyuan Lyu, Xing Tang^#, Dugang Liu^#, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu

Proceedings of the 18th ACM International Conference on Web Search and Data Mining, WSDM

PDF Code Project

2024

12 publications

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction

CCF B

Yunpeng Weng^*, Xing Tang^*, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM

PDF Code Project
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling

CCF B

Zexu Sun, Hao Yang, Dugang Liu^#, Yunpeng Weng, Xing Tang^#, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, RecSys

PDF Project
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

CCF B

Xing Tang, Yang Qiao^*, Fuyuan Lyu^*, Dugang Liu, Xiuqiang He

Proceedings of the 18th ACM Conference on Recommender Systems, RecSys

PDF Code Project
Masked Random Noise for Communication-Efficient Federated Learning

CCF A

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

Proceedings of the 31st ACM International Conference on Multimedia, MM

PDF Code Project
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing

CCF A

Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Code Project
FedBAT: Communication-efficient Federated Learning via Learnable Binarization

CCF A

Shiwei Li, Wenchao Xu, Haozhao Wang^#, Xing Tang^#, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li^#

41st International Conference on Machine Learning, ICML

PDF Code Project
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems

CCF A

Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Code Project
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing

CCF B

Zexun Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He

Database Systems for Advanced Applications - 29th International Conference, DASFAA

PDF Project
RecDCL: Dual Contrastive Learning for Recommendation

CCF A

Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang

Proceedings of the ACM Web Conference 2024,WebConf

PDF Code Project
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks

CCF B

Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma

Proceedings of the 2024 SIAM International Conference on Data Mining,SDM

PDF Code Project
Embedding Compression in Recommender Systems:A Survey

SCI · IF 30.4

Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang

ACM Computing Surveys

PDF Project
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems

CCF B

Dugang Liu^*, Chaohua Yang^*, Xing Tang^*, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM

PDF Code Project

2023

11 publications

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

CCF A

Fuyuan Lyu, Xing Tang^#, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

37th Annual Conference on Neural Information Processing Systems, NeurIPS

PDF Code Project
Prior-guided Accuracy-bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation

CCF A

Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming

Proceedings of The 30th ACM International Conference on Multimedia, MM

PDF Project
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction

CCF B

Xing Tang, Yang Qiao^*, Yuwen Fu^*, Fuyuan Lyu, Dugang Liu, Xiuqiang He

European Conference on Machine Learning and Knowledge Discovery in Databases, ECML-PKDD

PDF Project
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms

Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data, DLP@Recsys

Project
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

CCF B

Yujun Li^*, Xing Tang^*, Bo Chen^*, Yimin Huang, Ruiming Tang, Zhenguo Li

Proceedings of the 17th ACM Conference on Recommender Systems, RecSys

PDF Project
Explicit Feature Interaction-aware Uplift Network for Online Marketing

CCF A

Dugang Liu, Xing Tang^#, Han Gao, Fuyuan Lyu, Xiuqiang He^#

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD

PDF Code Project
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing

CCF A

Yunpeng Weng^*, Xing Tang^*, Liang Chen, Xiuqiang He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR

PDF Project
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction

CCF A

Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI

PDF Code Project
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data

CCF A

Dugang Liu^*, Pengxiang Cheng^*, Hong Zhu^*, Xing Tang^*, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He

Proceedings of the ACM Web Conference 2023, WebConf

PDF Code Project
Optimizing Feature Set for Click-Through Rate Prediction

CCF A

Fuyuan Lyu^*, Xing Tang^*, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu

Proceedings of the ACM Web Conference 2023, WebConf

PDF Code Project
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation

CCF B

Dugang Liu, Qiao Yang, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming

Database Systems for Advanced Applications - 28th International Conference, DASFAA

PDF Project

2022

2 publications

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

CCF B

Fuyuan Lyu^*, Xing Tang^*, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang, Xue Liu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, CIKM

PDF Code Project
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction

CCF A

Fuyuan Lyu^*, Xing Tang^*, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu

38th IEEE International Conference on Data Engineering, ICDE

PDF Code Project

2021

1 publication

Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network

CCF B SCI · IF 6.9

Yi Ouyang^*, Bin Guo, Xing Tang^*, Xiuqiang He, Jian Xiong, Zhiwen Yu

ACM Transactions on Knowledge Discovery from Data

PDF Project

2020

1 publication

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction

CCF C

Chih-Yao Chang^*, Xing Tang^*, Bo-Wen Yuan, Jui-Yang Hsia, Zhirong Liu, Zhenhua Dong, Xiuqiang He, Chih-Jen Lin

21st IEEE International Conference on Mobile Data Management, MDM

PDF Project

2016

1 publication

A Data-Based Approach to Discovering Multi-Topic Influential Leaders

SCI · IF 2.8

Xing Tang, Qiguang Miao, Shangshang Yu, Yining Quan

PLOS ONE

PDF Project

2015

1 publication

Predicting individual retweet behavior by user similarity: A multi-task learning approach

CCF C SCI · IF 8.0

Xing Tang, Qiguang Miao, Yi-Ning Quan, Jie Tang, Kai Deng

Knowledge-Based Systems

PDF Project

2014

1 publication

A Novel Email Virus Propagation Model with Local Group

CCF C

Qiguang Miao, Xing Tang, Yi-Ning Quan

IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing, UIC

PDF Project

FinHopper: A Progressive Multi-Hop Benchmark for Complex Financial Agents with Step-wise Evaluation

Retrieve-then-Adapt: Test-Time Retrieval-Augmentation for Sequential Recommendation

Controllable Autoregressive Retrieval with Long-term Action Perception for Recommendations

Decision-aware Data Recalibration for Multi-behavior Sequential Recommendation

ARTS: Autoregressive Tool Selection via Graph Neural Networks

Bridge the Unseen Gap: Enhancing Non-overlapping Cross-domain CTR Prediction via Profile Retrieval

AMS: Adaptive Modality Scheduling for Industrial Multi-Scenario CTR Prediction

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA

Less Is More: Elevating RAG via Performance-Driven Context Compression

Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement

HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment

Exploring Test-time Scaling via Prediction Merging on Large-Scale Recommendation

FedMM: Federated Collaborative Signal Quantization for Multi-Market CTR Prediction

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA

MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation

Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction

Timing is Important: Risk-Aware Fund Allocation Based on Time-Series Forecasting

Scenario Shared Instance Modeling for Click-through Rate Prediction

Invariant Deep Uplift Modeling for Incentives Assignment in Online Marketing via Probability of Necessity and Sufficiency

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems

Multi-Scenario Instance Embedding Learning for Deep Recommender Systems

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation

Policy-aware Reward Modeling with Uncertainty-Gradient based Data Augmentation

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

Masked Random Noise for Communication-Efficient Federated Learning

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing

FedBAT: Communication-efficient Federated Learning via Learnable Binarization

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing

RecDCL: Dual Contrastive Learning for Recommendation

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks

Embedding Compression in Recommender Systems:A Survey

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

Prior-guided Accuracy-bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms

AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction

Explicit Feature Interaction-aware Uplift Network for Online Marketing

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data

Optimizing Feature Set for Click-Through Rate Prediction

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation

OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction

Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction

A Data-Based Approach to Discovering Multi-Topic Influential Leaders

Predicting individual retweet behavior by user similarity: A multi-task learning approach

A Novel Email Virus Propagation Model with Local Group