Feiyang Pan

According to our database, Feiyang Pan authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes.

Feiyang Pan, Zhiliang Liu, Liyuan Ren, Ming Jian Zuo

IEEE Trans. Ind. Electron., April, 2024

Registration-enhanced multiple instance learning for cervical cancer whole slide image classification.

Qiming He, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan

Int. J. Imaging Syst. Technol., January, 2024

2023

Lightweight Bilateral Network for Real-Time Semantic Segmentation.

Pengtao Wang, Lihong Li, Feiyang Pan, Lin Wang

J. Adv. Comput. Intell. Intell. Informatics, July, 2023

Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification.

Qiming He, Yiqing Liu, Feiyang Pan, Hufei Duan, Jian Guan, Zhendong Liang, Hui Zhong, Xing Wang, Yonghong He, Wenting Huang, Tian Guan

Int. J. Comput. Assist. Radiol. Surg., April, 2023

Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation.

Feiyang Pan, Pengtao Wang, Lin Wang, Lihong Li

Sensors, March, 2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning.

Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan

CoRR, 2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning.

Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning.

Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning policy scheduling for text augmentation.

Shuokai Li, Xiang Ao, Feiyang Pan, Qing He

Neural Networks, 2022

Relation Reconstructive Binarization of word embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Qing He

Frontiers Comput. Sci., 2022

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution.

Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

GuideBoot: Guided Bootstrap for Deep Contextual Bandits.

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

CoRR, 2021

GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising.

Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He

Proceedings of the WWW '21: The Web Conference 2021, 2021

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback.

Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions.

Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning.

Jianfeng Liu, Feiyang Pan, Ling Luo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Trust the Model When It Is Confident: Masked Model-based Actor-Critic.

Feiyang Pan, Jia He, Dandan Tu, Qing He

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow.

Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks.

Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He

CoRR, 2019

Policy Gradients for Contextual Recommendations.

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

Proceedings of the World Wide Web Conference, 2019

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings.

Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Reading Like HER: Human Reading Inspired Extractive Summarization.

Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Policy Optimization with Model-Based Explorations.

Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Policy Gradients for Contextual Bandits.

Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He

CoRR, 2018

Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention.

Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018