Feiyang Pan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 32

Top Topics

Policy Gradient

Reinforcement Learning

Extractive Summarization

Multiple Instance

Top Venues

Publications

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) (2024)
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)
Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI (2023)
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 (2023)
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) (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR (2023)
Feiyang Pan, Pengtao Wang, Lin Wang, Lihong Li
Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation. Sensors 23 (5) (2023)
Pengtao Wang, Lihong Li, Feiyang Pan, Lin Wang
Lightweight Bilateral Network for Real-Time Semantic Segmentation. J. Adv. Comput. Intell. Intell. Informatics 27 (4) (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD (2023)
Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. IJCAI (2022)
Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
Learning policy scheduling for text augmentation. Neural Networks 145 (2022)
Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. CoRR (2022)
Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16 (2) (2022)
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 (2021)
Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR (2021)
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)
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)
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)
Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML (2020)
Jianfeng Liu, Feiyang Pan, Ling Luo
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. SIGIR (2020)
Jianfeng Liu, Feiyang Pan, Ling Luo
GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. CoRR (2020)
Feiyang Pan, Jia He, Dandan Tu, Qing He
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR (2020)
Feiyang Pan, Jia He, Dandan Tu, Qing He
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS (2020)
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 (2019)
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 (2019)
Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He
Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) (2019)
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)
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)
Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
Policy Gradients for Contextual Recommendations. WWW (2019)
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 (2018)
Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
Policy Gradients for Contextual Bandits. CoRR (2018)
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)