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2020 – today
- 2024
[c25]Chang Liu, Peng Hou, Anxiang Zeng, Han Yu:
Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. AAAI 2024: 22770-22778- [c24]Cong Fu
, Kun Wang, Jiahua Wu, Yizhou Chen, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Zhiming Zhou:
Residual Multi-Task Learner for Applied Ranking. KDD 2024: 4974-4985 - [c23]Jianfu Zhang, Qingtao Yu, Yizhou Chen, Guoliang Zhou, Yawen Liu, Yawei Sun, Chen Liang, Guangda Huzhang, Yabo Ni, Anxiang Zeng, Han Yu:
An E-Commerce Dataset Revealing Variations during Sales. SIGIR 2024: 1162-1171 - 2023
- [j5]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Yawen Liu, Weijie Shen, Wen-Ji Zhou, Qianying Lin, Qing Da, Anxiang Zeng, Han Yu, Yang Yu, Zhi-Hua Zhou:
AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. IEEE Trans. Knowl. Data Eng. 35(2): 1214-1226 (2023) - [c22]Yizhou Chen, Anxiang Zeng, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Guangda Huzhang, Han Yu, Zhiming Zhou:
Recurrent Temporal Revision Graph Networks. NeurIPS 2023 - [c21]Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. WWW 2023: 1074-1084 - [i19]Yizhou Chen, Guangda Huzhang, Anxiang Zeng, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Han Yu, Zhiming Zhou:
Clustered Embedding Learning for Recommender Systems. CoRR abs/2302.01478 (2023) - [i18]Yizhou Chen, Anxiang Zeng, Guangda Huzhang, Qingtao Yu, Kerui Zhang, Yuanpeng Cao, Kangle Wu, Han Yu, Zhiming Zhou:
Recurrent Temporal Revision Graph Networks. CoRR abs/2309.12694 (2023) - [i17]Chang Liu, Peng Hou, Anxiang Zeng, Han Yu:
Transformer-empowered Multi-modal Item Embedding for Enhanced Image Search in E-Commerce. CoRR abs/2311.17954 (2023) - 2022
- [c20]Heng-Yi Li, Yabo Ni, Anxiang Zeng, Han Yu, Chunyan Miao:
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce. AAAI 2022: 12387-12395 - [c19]Wenya Zhu, Yinghua Zhang, Yu Zhang, Yu-Hang Zhou, Yinfu Feng, Yuxiang Wu, Qing Da, Anxiang Zeng:
DHA: Product Title Generation with Discriminative Hierarchical Attention for E-commerce. PAKDD (3) 2022: 275-287 - [c18]Wenya Zhu, Xiaoyu Lv, Baosong Yang, Yinghua Zhang, Xu Yong, Linlong Xu, Yinfu Feng, Haibo Zhang, Qing Da, Anxiang Zeng, Ronghua Chen:
Cross-Lingual Product Retrieval in E-Commerce Search. PAKDD (2) 2022: 458-471 - 2021
- [j4]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Yang Yu, Jingren Zhou, Chunyan Miao:
Improving Search Engine Efficiency through Contextual Factor Selection. AI Mag. 42(2): 50-58 (2021) - [j3]Qian Fu, Ying He, Fei Hou, Qian Sun, Anxiang Zeng, Zhenchuan Huang, Juyong Zhang, Yong-Jin Liu:
Poisson Vector Graphics (PVG)-Guided Face Color Transfer in Videos. IEEE Computer Graphics and Applications 41(6): 152-163 (2021) - [c17]Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng:
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. AAAI 2021: 11160-11167 - [c16]Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao:
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. AAAI 2021: 15214-15222 - [c15]Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang:
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). AAAI 2021: 15863-15864 - [c14]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. RecSys 2021: 411-421 - [i16]Junmei Hao, Jingcheng Shi, Qing Da, Anxiang Zeng, Yujie Dun, Xueming Qian, Qianying Lin:
Diversity Regularized Interests Modeling for Recommender Systems. CoRR abs/2103.12404 (2021) - [i15]Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng:
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. CoRR abs/2111.04282 (2021) - 2020
- [c13]Anxiang Zeng, Han Yu, Qing Da, Yusen Zhan, Chunyan Miao:
Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. AAAI 2020: 13212-13219 - [c12]Pengcheng Li, Runze Li, Qing Da, Anxiang Zeng, Lijun Zhang:
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. CIKM 2020: 2605-2612 - [c11]Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin:
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. ICDM (Workshops) 2020: 127-135 - [i14]Guangda Huzhang, Zhen-Jia Pang, Yongqing Gao, Wen-Ji Zhou, Qing Da, Anxiang Zeng, Yang Yu:
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. CoRR abs/2003.11941 (2020) - [i13]Jianxiong Wei, Anxiang Zeng, Yueqiu Wu, Peng Guo, Qingsong Hua, Qingpeng Cai:
Generator and Critic: A Deep Reinforcement Learning Approach for Slate Re-ranking in E-commerce. CoRR abs/2005.12206 (2020) - [i12]Yanshi Wang, Jie Zhang, Qing Da, Anxiang Zeng:
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction. CoRR abs/2011.11826 (2020) - [i11]Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, Lanfen Lin:
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. CoRR abs/2012.08952 (2020) - [i10]Lifang Deng, Jin Niu, Angulia Yang, Qidi Xu, Xiang Fu, Jiandong Zhang, Anxiang Zeng:
Hybrid Interest Modeling for Long-tailed Users. CoRR abs/2012.14770 (2020)
2010 – 2019
- 2019
- [j2]Qian Fu, Ying He, Fei Hou, Juyong Zhang, Anxiang Zeng, Yong-Jin Liu:
Vectorization Based Color Transfer for Portrait Images. Comput. Aided Des. 115: 111-121 (2019) - [j1]Zunlei Feng, Weixin Liang, Daocheng Tao, Li Sun, Anxiang Zeng, Mingli Song:
CU-Net: Component Unmixing Network for Textile Fiber Identification. Int. J. Comput. Vis. 127(10): 1443-1454 (2019) - [c10]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-Based Explorations. AAAI 2019: 4675-4682 - [c9]Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. AAAI 2019: 4902-4909 - [c8]Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao:
An Online Intelligent Visual Interaction System. IJCAI 2019: 6578-6580 - [i9]Qizhi Zhang, Yi Lin, Kangle Wu, Yongliang Li, Anxiang Zeng:
Matrix embedding method in match for session-based recommendation. CoRR abs/1908.10180 (2019) - 2018
- [c7]Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. ECCV (9) 2018: 474-490 - [c6]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. KDD 2018: 368-377 - [c5]Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. KDD 2018: 596-605 - [c4]Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. NeurIPS 2018: 5898-5908 - [c3]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
SPEEDING Up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN. ECML/PKDD (3) 2018: 105-119 - [c2]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in e-Commerce by Reinforcement Mechanism Design. eCOM@SIGIR 2018 - [i8]Yusen Zhan, Qing Da, Fei Xiao, Anxiang Zeng, Yang Yu:
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection. CoRR abs/1803.00693 (2018) - [i7]Yujing Hu, Qing Da, Anxiang Zeng, Yang Yu, Yinghui Xu:
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application. CoRR abs/1803.00710 (2018) - [i6]Jing-Cheng Shi, Yang Yu, Qing Da, Shi-Yong Chen, Anxiang Zeng:
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning. CoRR abs/1805.10000 (2018) - [i5]Zunlei Feng, Xinchao Wang, Chenglong Ke, Anxiang Zeng, Dacheng Tao, Mingli Song:
Dual Swap Disentangling. CoRR abs/1805.10583 (2018) - [i4]Yabo Ni, Dan Ou, Shichen Liu, Xiang Li, Wenwu Ou, Anxiang Zeng, Luo Si:
Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks. CoRR abs/1805.10727 (2018) - [i3]Hua-Lin He, Chun-Xiang Pan, Qing Da, Anxiang Zeng:
Speeding up the Metabolism in E-commerce by Reinforcement Mechanism Design. CoRR abs/1807.00448 (2018) - [i2]Jie Song, Chengchao Shen, Jie Lei, Anxiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song:
Selective Zero-Shot Classification with Augmented Attributes. CoRR abs/1807.07437 (2018) - [i1]Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang:
Policy Optimization with Model-based Explorations. CoRR abs/1811.07350 (2018)
2000 – 2009
- 2009
- [c1]Zeyu Li, Hui Li, Anxiang Zeng, Lian Wang, Yongwen Wang:
Real-Time Visualization of Virtual Huge Texture. ICDIP 2009: 132-136
Coauthor Index
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