Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. - Ling Luo; Xiang Ao 001; Feiyang Pan; Jin Wang 007; Tong Zhao; Ningzi Yu; Qing He 003 (IJCAI, 2018)

Policy Gradients for Contextual Bandits. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (CoRR, 2018)

Policy Optimization with Model-Based Explorations. - Feiyang Pan; Qingpeng Cai 001; Anxiang Zeng; Chun-Xiang Pan; Qing Da; Hua-Lin He; Qing He 003; Pingzhong Tang (AAAI, 2019)

Reading Like HER: Human Reading Inspired Extractive Summarization. - Ling Luo; Xiang Ao 001; Yan Song 003; Feiyang Pan; Min Yang 007; Qing He 003 (EMNLP/IJCNLP (1), 2019)

Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Pingzhong Tang; Qing He 003 (SIGIR, 2019)

Policy Gradients for Contextual Recommendations. - Feiyang Pan; Qingpeng Cai 001; Pingzhong Tang; Fuzhen Zhuang; Qing He 003 (WWW, 2019)

Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Qing He 003 (CoRR, 2019)

CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. - Jia He 001; Feiyang Pan; Fuzhen Zhuang; Qing He 003 (ACML, 2020)

Trust the Model When It Is Confident: Masked Model-based Actor-Critic. - Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (NeurIPS, 2020)

GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. - Jianfeng Liu; Feiyang Pan; Ling Luo (SIGIR, 2020)

Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. - Feiyang Pan; Xiang Ao 001; Pingzhong Tang; Min Lu; Dapeng Liu; Lei Xiao; Qing He 003 (WWW, 2020)

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. - Haoming Li 011; Feiyang Pan; Xiang Ao 001; Zhao Yang; Min Lu; Junwei Pan; Dapeng Liu; Lei Xiao; Qing He 003 (SIGIR, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (WWW, 2021)

GuideBoot: Guided Bootstrap for Deep Contextual Bandits. - Feiyang Pan; Haoming Li 011; Xiang Ao 001; Wei Wang 182; Yanrong Kang; Ao Tan; Qing He 003 (CoRR, 2021)

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. - Feiyang Pan; Tongzhe Zhang; Ling Luo; Jia He 001; Shuoling Liu (IJCAI, 2022)

Relation Reconstructive Binarization of word embeddings. - Feiyang Pan; Shuokai Li; Xiang Ao 001; Qing He 003 (Frontiers Comput. Sci., 2022)

Learning policy scheduling for text augmentation. - Shuokai Li; Xiang Ao 001; Feiyang Pan; Qing He 003 (Neural Networks, 2022)

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. - Zixian Zhou; Mengda Huang; Feiyang Pan; Jia He 001; Xiang Ao 001; Dandan Tu; Qing He 003 (AAAI, 2023)

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. - Shuo Yu 003; Hongyan Xue; Xiang Ao 001; Feiyang Pan; Jia He 001; Dandan Tu; Qing He 003 (KDD, 2023)

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning. - Dapeng Li 001; Feiyang Pan; Jia He 001; Zhiwei Xu 005; Dandan Tu; Guoliang Fan (CoRR, 2023)

Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation. - Feiyang Pan; Pengtao Wang; Lin Wang; Lihong Li (Sensors, 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., 2023)

Lightweight Bilateral Network for Real-Time Semantic Segmentation. - Pengtao Wang; Lihong Li; Feiyang Pan; Lin Wang 051 (J. Adv. Comput. Intell. Intell. Informatics, 2023)

Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning. - Dapeng Li 001; Feiyang Pan; Jia He 001; Zhiwei Xu 005; Dandan Tu; Guoliang Fan (ICONIP (6), 2024)

Adaptive Edge-Enhanced Markov Chain Monte Carlo Method for Sound Speed Reconstruction in Ultrasound Computed Tomography. - Songde Liu; Xinye Zheng; Feiyang Pan; Bingzhen Wang; Chao Tian (IEEE Trans. Instrum. Meas., 2024)

Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. - Qiming He; Chengjiang Wang; Siqi Zeng 002; Zhendong Liang; Hufei Duan; Jingying Yang; Feiyang Pan; Yonghong He; Wenting Huang; Tian Guan (Int. J. Imaging Syst. Technol., 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., 2024)

Adaptive Inspection Approach for Internal Local Flaw Detection Based on Magnetic Flux Leakage Imaging. - Liyuan Ren; Zhiliang Liu; Feiyang Pan; Leilei Yang; Ming Jian Zuo (IEEE Trans. Instrum. Meas., 2025)

Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. - Shicheng Xu; Liang Pang; Yunchang Zhu; Jia Gu; Zihao Wei; Jingcheng Deng; Feiyang Pan; Huawei Shen; Xueqi Cheng (CoRR, 2025)

MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes. - Feiyang Pan; Shenghe Zheng; Chunyan Yin; Guangbin Dou (CoRR, 2025)