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ORCIDFeiyang Pan
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j8]Qiming He
, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan:
Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. Int. J. Imaging Syst. Technol. 34(1) (2024)- [j7]Feiyang Pan, Zhiliang Liu, Liyuan Ren, Ming Jian Zuo:
Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes. IEEE Trans. Ind. Electron. 71(4): 4120-4129 (2024) - [j6]Songde Liu, Xinye Zheng, Feiyang Pan, Bingzhen Wang, Chao Tian:
Adaptive Edge-Enhanced Markov Chain Monte Carlo Method for Sound Speed Reconstruction in Ultrasound Computed Tomography. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j5]Qiming He, Yiqing Liu, Feiyang Pan, Hufei Duan, Jian Guan, Zhendong Liang, Hui Zhong, Xing Wang, Yonghong He, Wenting Huang, Tian Guan:
Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification. Int. J. Comput. Assist. Radiol. Surg. 18(4): 629-640 (2023) - [j4]Pengtao Wang, Lihong Li, Feiyang Pan, Lin Wang:
Lightweight Bilateral Network for Real-Time Semantic Segmentation. J. Adv. Comput. Intell. Intell. Informatics 27(4): 673-682 (2023) - [j3]Feiyang Pan, Pengtao Wang, Lin Wang, Lihong Li:
Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation. Sensors 23(5): 2729 (2023) - [c14]Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He:
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI 2023: 11443-11451 - [c13]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD 2023: 5476-5486 - [i11]Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan:
Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning. CoRR abs/2303.11716 (2023) - [i10]Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He:
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR abs/2306.12964 (2023) - 2022
- [j2]Feiyang Pan, Shuokai Li, Xiang Ao, Qing He:
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16(2): 162307 (2022) - [j1]Shuokai Li, Xiang Ao, Feiyang Pan, Qing He:
Learning policy scheduling for text augmentation. Neural Networks 145: 121-127 (2022) - [c12]Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu:
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. IJCAI 2022: 3912-3918 - [i9]Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu:
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. CoRR abs/2207.11152 (2022) - 2021
- [c11]Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR 2021: 1915-1919 - [c10]Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. WWW 2021: 2314-2323 - [i8]Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He:
GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR abs/2107.08383 (2021) - [i7]Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He:
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR abs/2108.06167 (2021) - 2020
- [c9]Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - [c8]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS 2020 - [c7]Jianfeng Liu, Feiyang Pan, Ling Luo:
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. SIGIR 2020: 1793-1796 - [c6]Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He:
Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. WWW 2020: 729-739 - [i6]Jianfeng Liu, Feiyang Pan, Ling Luo:
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. CoRR abs/2005.11729 (2020) - [i5]Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR abs/2010.04893 (2020)
2010 – 2019
- 2019
- [c5]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 - [c4]Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He:
Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) 2019: 3031-3041 - [c3]Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR 2019: 695-704 - [c2]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - [i4]Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He:
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR abs/1904.11547 (2019) - [i3]Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He:
Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. CoRR abs/1905.10713 (2019) - 2018
- [c1]Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He:
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. IJCAI 2018: 4244-4250 - [i2]Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Bandits. CoRR abs/1802.04162 (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)
Coauthor Index
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