Xiuqiang He

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 46

Top Topics

Online Marketing

Recommender Systems

Top Venues

ACM Trans. Inf. Syst.

IEEE Trans. Knowl. Data Eng.

Publications

Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR (2024)
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. CoRR (2024)
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM (2024)
Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM (2024)
Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR (2024)
Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR (2024)
Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD (2024)
Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. CoRR (2024)
Dugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang, Xiuqiang He, Zhong Ming
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR (2024)
Fuyuan Lyu, Xing Tang, Dugang Liu, Haolun Wu, Chen Ma, Xiuqiang He, Xue Liu
Feature Representation Learning for Click-through Rate Prediction: A Review and New Perspectives. CoRR (2023)
Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41 (4) (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Zhong Ming
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1 (1) (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41 (4) (2023)
Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. SIGIR (2023)
Mengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He, Jianye Hao, Weiqi Shao, Jun Wang, Xu Chen
Debiased Recommendation with User Feature Balancing. ACM Trans. Inf. Syst. 41 (4) (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) (2023)
Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR (2023)
Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. CoRR (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network. NeurIPS (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. WWW (2023)
Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu
Optimizing Feature Set for Click-Through Rate Prediction. CoRR (2023)
Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR (2023)
Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. CoRR (2023)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. WWW (Companion Volume) (2022)
Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. CVPR (2022)
Yi Li, Jieming Zhu, Weiwen Liu, Liangcai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation. CoRR (2022)
Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. CoRR (2022)
Guohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He, Ruiming Tang, Rui Zhang
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems. SIGIR (2022)
Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE (2022)
Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang
Click-through rate prediction using transfer learning with fine-tuned parameters. Inf. Sci. 612 (2022)
Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR (2022)
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. CoRR (2022)
Dong Yao, Zhou Zhao, Shengyu Zhang, Jieming Zhu, Yudong Zhu, Rui Zhang, Xiuqiang He
Contrastive Learning with Positive-Negative Frame Mask for Music Representation. WWW (2022)
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR (2022)
Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu
A Graph-Enhanced Click Model for Web Search. CoRR (2022)