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Xing Tang 0007
Person information
- affiliation: Huawei Technologies
- affiliation (former): Tencent
- affiliation (former): Xidian University, Xi'an, China
Other persons with the same name
- Xing Tang — disambiguation page
- Xing Tang 0001
— Wuhan University of Technology, Wuhan, China (and 1 more)
- Xing Tang 0002 — Shanghai Research Center, Intel, Shanghai, China
- Xing Tang 0003 — Jiangsu Department of Water Resources, Nanjing, China
- Xing Tang 0004 — Xiamen University, Xiamen, China
- Xing Tang 0006
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2020 – today
- 2024
- [j4]Shiwei Li
Embedding Compression in Recommender Systems: A Survey. ACM Comput. Surv. 56(5): 130:1-130:21 (2024) - [c27]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CIKM 2024: 2523-2533 - [c26]Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He:
Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. DASFAA (7) 2024: 121-138 - [c25]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. ICML 2024 - [c24]Bowei He
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. KDD 2024: 5093-5104 - [c23]Shiwei Li
Masked Random Noise for Communication-Efficient Federated Learning. ACM Multimedia 2024: 3686-3694 - [c22]Xing Tang
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. RecSys 2024: 329-339 - [c21]Zexu Sun
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. RecSys 2024: 560-569 - [c20]Ziqiang Cui
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. SDM 2024: 289-297 - [c19]Dugang Liu
AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems. SIGIR 2024: 956-965 - [c18]Dugang Liu
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. WSDM 2024: 434-442 - [c17]Dan Zhang
RecDCL: Dual Contrastive Learning for Recommendation. WWW 2024: 3655-3666 - [i26]Yunpeng Weng, Xing Tang, Liang Chen, Dugang Liu, Xiuqiang He:
Expected Transaction Value Optimization for Precise Marketing in FinTech Platforms. CoRR abs/2401.01525 (2024) - [i25]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 abs/2401.06557 (2024) - [i24]Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang:
RecDCL: Dual Contrastive Learning for Recommendation. CoRR abs/2401.15635 (2024) - [i23]Xing Tang, Yang Qiao, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation. CoRR abs/2403.17442 (2024) - [i22]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 abs/2405.15301 (2024) - [i21]Dugang Liu, Xing Tang, Yang Qiao, Miao Liu, Zexu Sun, Xiuqiang He, Zhong Ming:
Benchmarking for Deep Uplift Modeling in Online Marketing. CoRR abs/2406.00335 (2024) - [i20]Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang
Embedding Compression in Recommender Systems: A Survey. CoRR abs/2408.02304 (2024) - [i19]Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li:
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization. CoRR abs/2408.03215 (2024) - [i18]Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li:
Masked Random Noise for Communication Efficient Federaetd Learning. CoRR abs/2408.03220 (2024) - [i17]Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He:
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. CoRR abs/2408.08585 (2024) - [i16]Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He:
End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. CoRR abs/2408.11623 (2024) - [i15]Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li:
Mixed-Precision Embeddings for Large-Scale Recommendation Models. CoRR abs/2409.20305 (2024) - 2023
- [c16]Shiwei Li
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. AAAI 2023: 4435-4443 - [c15]Dugang Liu, Yang Qiao, Xing Tang
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) 2023: 580-592 - [c14]Dugang Liu
Explicit Feature Interaction-aware Uplift Network for Online Marketing. KDD 2023: 4507-4515 - [c13]Dugang Liu
Prior-Guided Accuracy-Bias Tradeoff Learning for CTR Prediction in Multimedia Recommendation. ACM Multimedia 2023: 995-1003 - [c12]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 - [c11]Xing Tang
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. ECML/PKDD (6) 2023: 567-584 - [c10]Yujun Li
AutoOpt: Automatic Hyperparameter Scheduling and Optimization for Deep Click-through Rate Prediction. RecSys 2023: 183-194 - [c9]Yunpeng Weng
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. SIGIR 2023: 1914-1918 - [c8]Dugang Liu
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW 2023: 1673-1682 - [c7]Fuyuan Lyu
Optimizing Feature Set for Click-Through Rate Prediction. WWW 2023: 3386-3395 - [i14]Fuyuan Lyu, Xing Tang, Dugang Liu, Liang Chen, Xiuqiang He, Xue Liu:
Optimizing Feature Set for Click-Through Rate Prediction. CoRR abs/2301.10909 (2023) - [i13]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 abs/2302.02241 (2023) - [i12]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 abs/2302.03419 (2023) - [i11]Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He:
Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. CoRR abs/2305.01514 (2023) - [i10]Dugang Liu, Xing Tang, Han Gao, Fuyuan Lyu, Xiuqiang He:
Explicit Feature Interaction-aware Uplift Network for Online Marketing. CoRR abs/2306.00315 (2023) - [i9]Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He:
OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction. CoRR abs/2306.13382 (2023) - [i8]Hong Zhu, Runpeng Yu, Xing Tang, Yifei Wang, Yuan Fang, Yisen Wang:
Robust Long-Tailed Learning via Label-Aware Bounded CVaR. CoRR abs/2308.15405 (2023) - [i7]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 abs/2310.15342 (2023) - [i6]Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang
Towards Automated Negative Sampling in Implicit Recommendation. CoRR abs/2311.03526 (2023) - 2022
- [c6]Fuyuan Lyu
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CIKM 2022: 1399-1409 - [c5]Fuyuan Lyu, Xing Tang
Memorize, Factorize, or be Naive: Learning Optimal Feature Interaction Methods for CTR Prediction. ICDE 2022: 1450-1462 - [i5]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 abs/2207.02773 (2022) - [i4]Fuyuan Lyu, Xing Tang, Hong Zhu, Huifeng Guo, Yingxue Zhang, Ruiming Tang
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction. CoRR abs/2208.04482 (2022) - [i3]Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction. CoRR abs/2212.05735 (2022) - 2021
- [j3]Yi Ouyang, Bin Guo, Xing Tang
Mobile App Cross-Domain Recommendation with Multi-Graph Neural Network. ACM Trans. Knowl. Discov. Data 15(4): 55:1-55:21 (2021) - [i2]Fuyuan Lyu, Xing Tang, Huifeng Guo, Ruiming Tang, Xiuqiang He, Rui Zhang, Xue Liu:
Memorize, Factorize, or be Naïve: Learning Optimal Feature Interaction Methods for CTR Prediction. CoRR abs/2108.01265 (2021) - 2020
- [c4]Chih-Yao Chang, Xing Tang
AutoConjunction: Adaptive Model-based Feature Conjunction for CTR Prediction. MDM 2020: 202-209
2010 – 2019
- 2019
- [i1]Yi Ouyang, Bin Guo, Xing Tang, Xiuqiang He, Jian Xiong, Zhiwen Yu:
Learning Cross-Domain Representation with Multi-Graph Neural Network. CoRR abs/1905.10095 (2019) - 2015
- [j2]Xing Tang
Predicting individual retweet behavior by user similarity: A multi-task learning approach. Knowl. Based Syst. 89: 681-688 (2015) - [c3]Xing Tang, Yi-Ning Quan, Qiguang Miao
Information Propagation with Retweet Probability on Online Social Network. ICYCSEE 2015: 326-333 - 2014
- [j1]Pengfei Xu, Qiguang Miao
A denoising algorithm via wiener filtering in the shearlet domain. Multim. Tools Appl. 71(3): 1529-1558 (2014) - [c2]Qiguang Miao
Detecting Circles on Ego Network Based on Structure. CIS 2014: 213-217 - [c1]Qiguang Miao
A Novel Email Virus Propagation Model with Local Group. UIC/ATC/ScalCom 2014: 331-336
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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