Xiuqiang He 0001 - researchr alias

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Viewing Publication 1 - 33 from 33

2025

2024

Touch the Core: Exploring Task Dependence Among Hybrid Targets for RecommendationXing Tang 0007, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He 0001. recsys 2024: 329-339 [doi]

Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social NetworksZiqiang Cui, Xing Tang 0007, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He 0001, Chen Ma 0001. sdm 2024: 289-297 [doi]

Rankability-enhanced Revenue Uplift Modeling Framework for Online MarketingBowei He, Yunpeng Weng, Xing Tang 0007, Ziqiang Cui, Zexu Sun, Liang Chen 0009, Xiuqiang He 0001, Chen Ma 0001. kdd 2024: 5093-5104 [doi]

Masked Random Noise for Communication-Efficient Federated LearningShiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang 0007, Shijie Xu, Weihong Luo, Yuhua Li 0003, Dugang Liu, Xiuqiang He 0001, Ruixuan Li 0001. mm 2024: 3686-3694 [doi]

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender SystemsDugang Liu, Chaohua Yang, Xing Tang 0007, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He 0001, Zhong Ming 0001, Xiangyu Zhao 0001. wsdm 2024: 434-442 [doi]

AutoDCS: Automated Decision Chain Selection in Deep Recommender SystemsDugang Liu, Shenxian Xian, Yuhao Wu, Chaohua Yang, Xing Tang 0007, Xiuqiang He 0001, Zhong Ming 0001. sigir 2024: 956-965 [doi]

Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online MarketingZexu Sun, Dugang Liu, Xing Tang 0007, Yunpeng Weng, Xiuqiang He 0001. dasfaa 2024: 121-138 [doi]

End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift ModelingZexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang 0007, Xiuqiang He 0001. recsys 2024: 560-569 [doi]

OptDist: Learning Optimal Distribution for Customer Lifetime Value PredictionYunpeng Weng, Xing Tang 0007, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He 0001. CIKM 2024: 2523-2533 [doi]

2023

OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate PredictionXing Tang 0007, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He 0001. pkdd 2023: 567-584 [doi]

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement LearningHaokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang 0001, Xiuqiang He 0001, Yong Yu 0001. tkde, 35(4):4018-4032, April 2023. [doi]

Explicit Feature Interaction-aware Uplift Network for Online MarketingDugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He 0001. kdd 2023: 4507-4515 [doi]

DIWIFT: Discovering Instance-wise Influential Features for Tabular DataDugang Liu, Pengxiang Cheng 0002, Hong Zhu, Xing Tang 0007, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming 0001, Xiuqiang He 0001. WWW 2023: 1673-1682 [doi]

Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia RecommendationDugang Liu, Yang Qiao, Xing Tang 0007, Liang Chen, Xiuqiang He 0001, Zhong Ming 0001. mm 2023: 995-1003 [doi]

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in RecommendationDugang Liu, Yang Qiao, Xing Tang 0007, Liang Chen, Xiuqiang He 0001, Weike Pan, Zhong Ming 0001. dasfaa 2023: 580-592 [doi]

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform DataDugang Liu, Pengxiang Cheng 0002, Zinan Lin 0004, Jinwei Luo, Zhenhua Dong, Xiuqiang He 0001, Weike Pan, Zhong Ming 0001. tkde, 35(8):8143-8156, August 2023. [doi]

Bounding System-Induced Biases in Recommender Systems with a Randomized DatasetDugang Liu, Pengxiang Cheng 0002, Zinan Lin 0004, Xiaolian Zhang, Zhenhua Dong, Rui Zhang 0003, Xiuqiang He 0001, Weike Pan, Zhong Ming 0001. tois, 41(4), October 2023. [doi]

Debiased Representation Learning in Recommendation via Information BottleneckDugang Liu, Pengxiang Cheng 0002, Hong Zhu, Zhenhua Dong, Xiuqiang He 0001, Weike Pan, Zhong Ming 0001. tors, 1(1):1-27, March 2023. [doi]

Optimizing Feature Set for Click-Through Rate PredictionFuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He 0001, Xue Liu 0001. WWW 2023: 3386-3395 [doi]

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse NetworkFuyuan Lyu, Xing Tang 0007, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He 0001, Xue (Steve) Liu. nips 2023: [doi]

Learning to Retrieve User Behaviors for Click-through Rate EstimationJiarui Qin, Weinan Zhang 0001, Rong Su 0003, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He 0001, Yong Yu 0001. tois, 41(4), October 2023. [doi]

Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial MarketingYunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He 0001. sigir 2023: 1914-1918 [doi]

Debiased Recommendation with User Feature BalancingMengyue Yang, Guohao Cai, Furui Liu, Jiarui Jin, Zhenhua Dong, Xiuqiang He 0001, Jianye Hao, Weiqi Shao, Jun Wang 0012, Xu Chen 0017. tois, 41(4), October 2023. [doi]

AIM: Automatic Interaction Machine for Click-Through Rate PredictionChenxu Zhu, Bo Chen 0023, Weinan Zhang 0001, Jincai Lai, Ruiming Tang, Xiuqiang He 0001, Zhenguo Li, Yong Yu. tkde, 35(4):3389-3403, April 2023. [doi]

2022

ReLoop: A Self-Correction Continual Learning Loop for Recommender SystemsGuohao Cai, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Xiuqiang He 0001, Ruiming Tang, Rui Zhang. sigir 2022: 2692-2697 [doi]

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate PredictionWei Guo, Can Zhang, Zhicheng He 0001, Jiarui Qin, Huifeng Guo, Bo Chen 0023, Ruiming Tang, Xiuqiang He 0001, Rui Zhang. icde 2022: 727-740 [doi]

PEAR: Personalized Re-ranking with Contextualized Transformer for RecommendationYi Li, Jieming Zhu, Weiwen Liu, LiangCai Su, Guohao Cai, Qi Zhang, Ruiming Tang, Xi Xiao, Xiuqiang He 0001. WWW 2022: 62-66 [doi]

Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR PredictionFuyuan Lyu, Xing Tang 0007, Huifeng Guo, Ruiming Tang, Xiuqiang He 0001, Rui Zhang, Xue Liu. icde 2022: 1450-1462 [doi]

Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising NetworksWenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He 0001, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian 0001. cvpr 2022: 1310-1321 [doi]

Click-through rate prediction using transfer learning with fine-tuned parametersXiangli Yang, Qing Liu, Rong Su 0003, Ruiming Tang, Zhirong Liu, Xiuqiang He 0001, Jianxi Yang. isci, 612:188-200, 2022. [doi]

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD AlgorithmsRunpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He 0001. AAAI 2022: 8945-8953 [doi]

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