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Anxiang Zeng

Observed names: An-Xiang Zeng, Zeng, An-xiang, Zeng, Anxiang
ORCID: 0000-0003-3869-5357
Observed ORCID: 0000-0003-3869-5357
OpenAlex ID: A5076875538
Reinforcement Learning to Rank in E-Commerce Search Engine
2018 · Yujing Hu, Qing Da, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 175
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Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning
2019 · Jing-Cheng Shi, Yang Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 154
Perceive Your Users in Depth
2018 · Yabo Ni, Dan Ou, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 118
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space
2020 · Pengcheng Li, Runze Li, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 94
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
2018 · Ni, Yabo, Ou, Dan, et al. · arXiv (Cornell University) · 31
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Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce
2020 · Yuting Chen, Yanshi Wang, et al. · IEEE ... International Conference on Data Mining workshops · 28
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Dual Swap Disentangling
2018 · Feng, Zunlei, Wang, Xinchao, et al. · arXiv (Cornell University) · 28
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Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems
2021 · Danni Peng, Sinno Jialin Pan, et al. · ACM Conference on Recommender Systems (RecSys) · 27
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Selective Zero-Shot Classification with Augmented Attributes
2018 · Jie Song, Chengchao Shen, et al. · Lecture notes in computer science · 27
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AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online
2021 · Guangda Huzhang, Zhenjia Pang, et al. · IEEE Transactions on Knowledge and Data Engineering · 21
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CU-Net: Component Unmixing Network for Textile Fiber Identification
2019 · Zunlei Feng, Weixin Liang, et al. · International Journal of Computer Vision · 20
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction
2020 · Wang, Yanshi, Zhang, Jie, et al. · arXiv (Cornell University) · 18
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Vectorization Based Color Transfer for Portrait Images
2019 · Qian Fu, Ying He, et al. · Computer-Aided Design · 16
OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System
2026 · Sunhao Dai, Jiakai Tang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 13
Clustered Embedding Learning for Recommender Systems
2023 · Yizhou Chen, Guangda Huzhang, et al. · International World Wide Web Conference (WWW) · 12
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Policy Optimization with Model-Based Explorations
2019 · Feiyang Pan, Qingpeng Cai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 10
Residual Multi-Task Learner for Applied Ranking
2024 · Cong Fu, Kun Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 9
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Maximum Inner Product is Query-Scaled Nearest Neighbor
2025 · Tingyang Chen, Cong Fu, et al. · Proceedings of the VLDB Endowment · 8
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Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce
2020 · Wei, Jianxiong, Zeng, Anxiang, et al. · arXiv (Cornell University) · 8
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Mid-Training of Large Language Models: A Survey
2025 · Mo, Kaixiang, Shi, Yuxin, et al. · arXiv (Cornell University) · 7
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Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection
2020 · Anxiang Zeng, Han Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 6
Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction
2025 · Yabo Ni, Yueqiu Wu, et al. · Engineering Applications of Artificial Intelligence · 5
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce
2024 · Chang Liu, Peng Hou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 5
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Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
2020 · Guangda Huzhang, Zhen-Jia Pang, et al. · arXiv (Cornell University) · 5
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank
2021 · Anxiang Zeng, Han Yu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 4
Works count: 54
Citation count: 875
H-index: 13
I10-index: 16
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