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2020 – today
- 2024
[c19]Tao Zhuang, Jiaxin Zhong, Jing Lu:
The Feasibility of Sound Zone Control Using an Array of Parametric Array Loudspeakers. ISCSLP 2024: 66-70- [i13]Mengtong Li, Tao Zhuang, Kai Chen, Jiaxin Zhong, Jing Lu:
Deep Learning-Based Approach for Identification and Compensation of Nonlinear Distortions in Parametric Array Loudspeakers. CoRR abs/2412.01092 (2024) - 2023
- [j5]Jiaxin Zhong
, Tao Zhuang, Mengtong Li, Ray Kirby, Mahmoud Karimi, Jing Lu, Dong Zhang:
Sidelobe Suppression for a Steerable Parametric Source Using the Sparse Random Array Technique. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3152-3161 (2023) - [c18]Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu:
Multi-factor Sequential Re-ranking with Perception-Aware Diversification. KDD 2023: 5327-5337 - [c17]Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge:
Multi-channel Integrated Recommendation with Exposure Constraints. KDD 2023: 5338-5349 - [c16]Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao:
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 2023: 1276-1280 - [c15]Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng:
MAKE: Vision-Language Pre-training based Product Retrieval in Taobao Search. WWW (Companion Volume) 2023: 356-360 - [i12]Xiaoyang Zheng, Zilong Wang, Sen Li, Ke Xu, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng:
MAKE: Product Retrieval with Vision-Language Pre-training in Taobao Search. CoRR abs/2301.12646 (2023) - [i11]Shanshan Lyu, Qiwei Chen, Tao Zhuang, Junfeng Ge:
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System. CoRR abs/2303.00276 (2023) - [i10]Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge:
Multi-channel Integrated Recommendation with Exposure Constraints. CoRR abs/2305.12319 (2023) - [i9]Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu:
Multi-factor Sequential Re-ranking with Perception-Aware Diversification. CoRR abs/2305.12420 (2023) - 2022
- [j4]Jiaxin Zhong, Tao Zhuang, Ray Kirby, Mahmoud Karimi, Xiaojun Qiu, Haishan Zou, Jing Lu:
Low Frequency Audio Sound Field Generated by a Focusing Parametric Array Loudspeaker. IEEE ACM Trans. Audio Speech Lang. Process. 30: 3098-3109 (2022) - [c14]Sen Li, Fuyu Lv, Taiwei Jin, Guiyang Li, Yukun Zheng, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng, James T. Kwok, Qianli Ma:
Query Rewriting in TaoBao Search. CIKM 2022: 3262-3271 - [c13]Roberto Corizzo, Junfeng Ge, Colin Bellinger, Xiaoqiang Zhu, Paula Branco, Kuang-chih Lee, Nathalie Japkowicz, Ruiming Tang, Tao Zhuang, Han Zhu, Biye Jiang, Jiaxin Mao, Weinan Zhang:
4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022. KDD 2022: 4860-4861 - [c12]Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu:
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. WSDM 2022: 262-270 - [c11]Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng:
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. WSDM 2022: 1461-1469 - [c10]Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. WWW 2022: 256-265 - [i8]Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. CoRR abs/2202.04972 (2022) - [i7]Zhifang Fan, Dan Ou, Yulong Gu, Bairan Fu, Xiang Li, Wentian Bao, Xin-Yu Dai, Xiaoyi Zeng, Tao Zhuang, Qingwen Liu:
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search. CoRR abs/2203.15542 (2022) - [i6]Qiwei Chen, Yue Xu, Changhua Pei, Shanshan Lv, Tao Zhuang, Junfeng Ge:
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction. CoRR abs/2209.12212 (2022) - [i5]Yukun Zheng, Jiang Bian, Guanghao Meng, Chao Zhang, Honggang Wang, Zhixuan Zhang, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng:
Multi-Objective Personalized Product Retrieval in Taobao Search. CoRR abs/2210.04170 (2022) - [i4]Xu Yuan, Chen Xu, Qiwei Chen, Tao Zhuang, Hongjie Chen, Chao Li, Junfeng Ge:
Hierarchical Multi-Interest Co-Network For Coarse-Grained Ranking. CoRR abs/2210.10547 (2022) - 2021
- [j3]Tao Zhuang, Pengfei Shen, Beibei Wang, Ligang Liu:
Real-time Denoising Using BRDF Pre-integration Factorization. Comput. Graph. Forum 40(7): 173-180 (2021) - [c9]Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong:
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. AAAI 2021: 4582-4589 - 2020
- [c8]Xiang Li, Chao Wang, Bin Tong, Jiwei Tan, Xiaoyi Zeng, Tao Zhuang:
Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction. CIKM 2020: 785-794 - [c7]Tao Zhuang, Zhixuan Zhang, Yuheng Huang, Xiaoyi Zeng, Kai Shuang, Xiang Li:
Neuron-level Structured Pruning using Polarization Regularizer. NeurIPS 2020 - [i3]Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong:
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. CoRR abs/2012.03245 (2020)
2010 – 2019
- 2019
- [j2]Weimin Kang, Shuliang Zhao, Wei Song, Tao Zhuang:
Triple helix in the science and technology innovation centers of China from the perspective of mutual information: a comparative study between Beijing and Shanghai. Scientometrics 118(3): 921-940 (2019) - [c6]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. WWW 2019: 1771-1781 - [i2]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. CoRR abs/1902.08882 (2019) - 2018
- [c5]Tao Zhuang, Wenwu Ou, Zhirong Wang:
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. IJCAI 2018: 3725-3731 - [i1]Tao Zhuang, Wenwu Ou, Zhirong Wang:
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search. CoRR abs/1805.08524 (2018) - 2015
- [j1]Haitong Yang, Tao Zhuang, Chengqing Zong:
Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks. Trans. Assoc. Comput. Linguistics 3: 271-282 (2015) - 2014
- [c4]Changliang Li, Bo Xu, Gaowei Wu, Tao Zhuang, Xiuying Wang, Wendong Ge:
Improving Word Embeddings via Combining with Complementary Languages. Canadian AI 2014: 313-318 - 2010
- [c3]Tao Zhuang, Chengqing Zong:
A Minimum Error Weighting Combination Strategy for Chinese Semantic Role Labeling. COLING 2010: 1362-1370 - [c2]Tao Zhuang, Chengqing Zong:
Joint Inference for Bilingual Semantic Role Labeling. EMNLP 2010: 304-314
2000 – 2009
- 2008
- [c1]Tao Zhuang, Qiqiang Li, Qingqiang Guo, Xingshan Wang:
A two-stage particle swarm optimizer. IEEE Congress on Evolutionary Computation 2008: 557-563
Coauthor Index
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