Detecting Circles on Ego Network Based on Structure. - Qiguang Miao; Xing Tang 007; Yi-Ning Quan; Kai Deng (CIS, 2014)

A Novel Email Virus Propagation Model with Local Group. - Qiguang Miao; Xing Tang 007; Yi-Ning Quan (UIC/ATC/ScalCom, 2014)

A denoising algorithm via wiener filtering in the shearlet domain. - Pengfei Xu 003; Qiguang Miao; Xing Tang 007; Junying Zhang (Multim. Tools Appl., 2014)

Information Propagation with Retweet Probability on Online Social Network. - Xing Tang 007; Yi-Ning Quan; Qiguang Miao; Ruihong Hou; Kai Deng (ICYCSEE, 2015)

Predicting individual retweet behavior by user similarity: A multi-task learning approach. - Xing Tang 007; Qiguang Miao; Yi-Ning Quan; Jie Tang 001; Kai Deng (Knowl. Based Syst., 2015)

Learning Cross-Domain Representation with Multi-Graph Neural Network. - Yi Ouyang 003; Bin Guo 001; Xing Tang 007; Xiuqiang He 001; Jian Xiong; Zhiwen Yu 001 (CoRR, 2019)

AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. - Chih-Yao Chang; Xing Tang 007; Bo-Wen Yuan; Jui-Yang Hsia; Zhirong Liu; Zhenhua Dong; Xiuqiang He 001; Chih-Jen Lin (MDM, 2020)

Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. - Yi Ouyang 003; Bin Guo 001; Xing Tang 007; Xiuqiang He 001; Jian Xiong; Zhiwen Yu 001 (ACM Trans. Knowl. Discov. Data, 2021)

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)

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)

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)

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. - Dugang Liu; Yang Qiao; Xing Tang 007; Liang Chen 009; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (DASFAA (4), 2023)

Explicit Feature Interaction-aware Uplift Network for Online Marketing. - Dugang Liu; Xing Tang 007; Han Gao; Fuyuan Lyu; Xiuqiang He 001 (KDD, 2023)

Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. - Dugang Liu; Yang Qiao; Xing Tang 007; Liang Chen 009; Xiuqiang He 001; Zhong Ming 001 (ACM Multimedia, 2023)

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Weihong Luo; Liang Chen 009; Xiuqiang He 001; Xue (Steve) Liu (NeurIPS, 2023)

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. - Xing Tang 007; Yang Qiao; Yuwen Fu; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (ECML/PKDD (6), 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)

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. - Yunpeng Weng; Xing Tang 007; Liang Chen 009; Xiuqiang He 001 (SIGIR, 2023)

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Xing Tang 007; Yanyu Chen; Xiaoting Wang; Weike Pan; Zhong Ming 001; Xiuqiang He 001 (WWW, 2023)

Optimizing Feature Set for Click-Through Rate Prediction. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Liang Chen 009; Xiuqiang He 001; Xue Liu 001 (WWW, 2023)

Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. - Fuyuan Lyu; Xing Tang 007; Dugang Liu; Haolun Wu; Chen Ma 001; Xiuqiang He 001; Xue Liu 001 (CoRR, 2023)

Robust Long-Tailed Learning via Label-Aware Bounded CVaR. - Hong Zhu 003; Runpeng Yu 001; Xing Tang 007; Yifei Wang 001; Yuan Fang; Yisen Wang 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)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. - Yunpeng Weng; Xing Tang 007; Zhenhao Xu; Fuyuan Lyu; Dugang Liu; Zexu Sun; Xiuqiang He 001 (CIKM, 2024)

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. - Zexu Sun; Dugang Liu; Xing Tang 007; Yunpeng Weng; Xiuqiang He 001 (DASFAA (7), 2024)

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. - Shiwei Li 002; Wenchao Xu 001; Haozhao Wang; Xing Tang 007; Yining Qi; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (ICML, 2024)

Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. - Bowei He; Yunpeng Weng; Xing Tang 007; Ziqiang Cui; Zexu Sun; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (KDD, 2024)

Masked Random Noise for Communication-Efficient Federated Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (ACM Multimedia, 2024)

Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. - Xing Tang 007; Yang Qiao; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (RecSys, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang 045; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (RecSys, 2024)

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. - Ziqiang Cui; Xing Tang 007; Yang Qiao; Bowei He; Liang Chen 009; Xiuqiang He 001; Chen Ma 001 (SDM, 2024)

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. - Dugang Liu; Shenxian Xian; Yuhao Wu; Chaohua Yang; Xing Tang 007; Xiuqiang He 001; Zhong Ming 001 (SIGIR, 2024)

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. - Dugang Liu; Chaohua Yang; Xing Tang 007; Yejing Wang; Fuyuan Lyu; Weihong Luo; Xiuqiang He 001; Zhong Ming 001; Xiangyu Zhao 001 (WSDM, 2024)

RecDCL: Dual Contrastive Learning for Recommendation. - Dan Zhang; Yangliao Geng; Wenwen Gong; Zhongang Qi; Zhiyu Chen; Xing Tang 007; Ying Shan; Yuxiao Dong; Jie Tang 001 (WWW, 2024)

Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. - Yunpeng Weng; Xing Tang 007; Liang Chen 009; Dugang Liu; Xiuqiang He 001 (CoRR, 2024)

Benchmarking for Deep Uplift Modeling in Online Marketing. - Dugang Liu; Xing Tang 007; Yang Qiao; Miao Liu 006; Zexu Sun; Xiuqiang He 001; Zhong Ming 001 (CoRR, 2024)

Masked Random Noise for Communication Efficient Federaetd Learning. - Shiwei Li 002; Yingyi Cheng; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Dugang Liu; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2024)

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. - Zexu Sun; Hao Yang; Dugang Liu; Yunpeng Weng; Xing Tang 007; Xiuqiang He 001 (CoRR, 2024)

Mixed-Precision Embeddings for Large-Scale Recommendation Models. - Shiwei Li 002; Zhuoqi Hu; Fuyuan Lyu; Xing Tang 007; Haozhao Wang; Shijie Xu; Weihong Luo; Yuhua Li 003; Xue Liu 001; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 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)

Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback. - Zexu Sun; Yiju Guo; Yankai Lin; Xu Chen 017; Qi Qi 003; Xing Tang 007; Xiuqiang He 001; Ji-Rong Wen (ICLR, 2025)

Scenario Shared Instance Modeling for Click-through Rate Prediction. - Dugang Liu; Chaohua Yang; Yuwen Fu; Xing Tang 007; Gongfu Li; Fuyuan Lyu; Xiuqiang He 001; Zhong Ming 001 (KDD (1), 2025)

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001; Chen Ma 001 (SIGIR, 2025)

Multi-scenario Instance Embedding Learning for Deep Recommender Systems. - Chaohua Yang; Dugang Liu; Xing Tang 007; Yuwen Fu; Xiuqiang He 001; Xiangyu Zhao 001; Zhong Ming 001 (SIGIR, 2025)

Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. - Kexin Zhang 007; Fuyuan Lyu; Xing Tang 007; Dugang Liu; Chen Ma 001; Kaize Ding; Xiuqiang He 001; Xue Liu 001 (WSDM, 2025)

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. - Xing Tang 007; Yunpeng Weng; Fuyuan Lyu; Dugang Liu; Xiuqiang He 001 (CoRR, 2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Xiaokun Zhang 001; Dugang Liu; Shiwei Li 002; Peiyang Liu; Bowei He; Weihong Luo; Xiuqiang He 001; Chen Ma 001 (CoRR, 2025)

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Shijie Xu; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics. - Shiwei Li 002; Xiandi Luo; Xing Tang 007; Haozhao Wang; Hao Chen; Weihong Luo; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)

Timing is important: Risk-aware Fund Allocation based on Time-Series Forecasting. - Fuyuan Lyu; Linfeng Du; Yunpeng Weng; Qiufang Ying; Zhiyan Xu; Wen Zou; Haolun Wu; Xiuqiang He 001; Xing Tang 007 (CoRR, 2025)

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity. - Shiwei Li 002; Xiandi Luo; Haozhao Wang; Xing Tang 007; Ziqiang Cui; Dugang Liu; Yuhua Li 003; Xiuqiang He 001; Ruixuan Li 001 (CoRR, 2025)