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Zhuobin Zheng
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2020 – today
- 2023
- [i4]Ruijie Hou, Zhaoyang Yang, Yu Ming, Hongyu Lu, Zhuobin Zheng, Yu Chen, Qinsong Zeng, Ming Chen:
Cross Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction. CoRR abs/2312.06424 (2023) - 2021
- [c8]Jiahui Ye, Zichun Li, Zhi Wang, Zhuobin Zheng, Han Hu, Wenwu Zhu:
Joint Cache Size Scaling and Replacement Adaptation for Small Content Providers. INFOCOM 2021: 1-10 - 2020
- [c7]Zhihui Lin, Maomao Li, Zhuobin Zheng, Yangyang Cheng, Chun Yuan:
Self-Attention ConvLSTM for Spatiotemporal Prediction. AAAI 2020: 11531-11538 - [c6]Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-Tao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. IJCNN 2020: 1-8 - [i3]Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shutao Xia:
Temporal Calibrated Regularization for Robust Noisy Label Learning. CoRR abs/2007.00240 (2020)
2010 – 2019
- 2019
- [c5]Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng, Cheng Shi, Jiahui Ye:
Self-Supervised Mixture-of-Experts by Uncertainty Estimation. AAAI 2019: 5933-5940 - [c4]Zhuobin Zheng, Youcheng Ben, Chun Yuan:
Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching. ACML 2019: 940-955 - [c3]Maomao Li, Chun Yuan, Zhihui Lin, Zhuobin Zheng, Yangyang Cheng:
Stochastic Video Generation with Disentangled Representations. ICME 2019: 224-229 - [i2]Qing Wang, Jiechao Xiong, Lei Han, Meng Fang, Xinghai Sun, Zhuobin Zheng, Peng Sun, Zhengyou Zhang:
Arena: a toolkit for Multi-Agent Reinforcement Learning. CoRR abs/1907.09467 (2019) - 2018
- [c2]Cheng Shi, Chun Yuan, Jiayin Cai, Zhuobin Zheng, Yangyang Cheng, Zhihui Lin:
Conditional Kronecker Batch Normalization for Compositional Reasoning. BMVC 2018: 54 - [c1]Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu:
Self-Adaptive Double Bootstrapped DDPG. IJCAI 2018: 3198-3204 - [i1]Lukasz Kidzinski, Sharada Prasanna Mohanty, Carmichael F. Ong, Zhewei Huang, Shuchang Zhou, Anton Pechenko, Adam Stelmaszczyk, Piotr Jarosik, Mikhail Pavlov, Sergey Kolesnikov, Sergey M. Plis, Zhibo Chen, Zhizheng Zhang, Jiale Chen, Jun Shi, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Henryk Michalewski, Piotr Milos, Blazej Osinski, Andrew Melnik, Malte Schilling
, Helge J. Ritter, Sean F. Carroll, Jennifer L. Hicks, Sergey Levine, Marcel Salathé, Scott L. Delp:
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments. CoRR abs/1804.00361 (2018)
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last updated on 2024-08-14 23:18 CEST by the dblp team
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