Feiyang Pan - RankMe

41 papers A* 13C 1Journal 25Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion. CoRR Yusong Lin, Haiyang Wang, Shuzhe Wu, Lue Fan, Feiyang Pan, Sanyuan Zhao, Dandan Tu
2026	J	`jnl`	FeatureBench: Benchmarking Agentic Coding for Complex Feature Development. CoRR Qixing Zhou, Jiacheng Zhang, Haiyang Wang, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan, Dandan Tu, Zhaoxiang Zhang
2026	A*	`conf`	RLKD: Distilling LLMs' Reasoning via Reinforcement Learning. AAAI Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Adaptive Inspection Approach for Internal Local Flaw Detection Based on Magnetic Flux Leakage Imaging. IEEE Trans. Instrum. Meas. Liyuan Ren, Zhiliang Liu, Feiyang Pan, Leilei Yang, Ming Jian Zuo
2025	J	`jnl`	Distilling the Implicit Multi-Branch Structure in LLMs' Reasoning via Reinforcement Learning. CoRR Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2025	J	`jnl`	Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial Odometry. CoRR Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
2025	J	`jnl`	MoE-Gyro: Self-Supervised Over-Range Reconstruction and Denoising for MEMS Gyroscopes. CoRR Feiyang Pan, Shenghe Zheng, Chunyan Yin, Guangbin Dou
2024	J	`jnl`	Adaptive Edge-Enhanced Markov Chain Monte Carlo Method for Sound Speed Reconstruction in Ultrasound Computed Tomography. IEEE Trans. Instrum. Meas. Songde Liu, Xinye Zheng, Feiyang Pan, Bingzhen Wang, Chao Tian
2024	J	`jnl`	Adaptive Local Flaw Detection Based on Magnetic Flux Leakage Images With a Noise Distortion Effect for Steel Wire Ropes. IEEE Trans. Ind. Electron. Feiyang Pan, Zhiliang Liu, Liyuan Ren, Ming Jian Zuo
2024	J	`jnl`	Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. Int. J. Imaging Syst. Technol. Qiming He, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan
2024	—	`conf`	Style Miner: Find Significant and Stable Factors in Time Series with Constrained Reinforcement Learning. ICONIP (6) Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan
2023	A*	`conf`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	J	`jnl`	Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. CoRR Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
2023	A*	`conf`	Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning. AAAI Zixian Zhou, Mengda Huang, Feiyang Pan, Jia He, Xiang Ao, Dandan Tu, Qing He
2023	J	`jnl`	Lightweight Bilateral Network for Real-Time Semantic Segmentation. J. Adv. Comput. Intell. Intell. Informatics Pengtao Wang, Lihong Li, Feiyang Pan, Lin Wang
2023	J	`jnl`	Multi-View Stereo Vision Patchmatch Algorithm Based on Data Augmentation. Sensors Feiyang Pan, Pengtao Wang, Lin Wang, Lihong Li
2023	J	`jnl`	Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning. CoRR Dapeng Li, Feiyang Pan, Jia He, Zhiwei Xu, Dandan Tu, Guoliang Fan
2023	J	`jnl`	Unsupervised domain adaptive tumor region recognition for Ki67 automated assisted quantification. Int. J. Comput. Assist. Radiol. Surg. Qiming He, Yiqing Liu, Feiyang Pan, Hufei Duan, Jian Guan, Zhendong Liang, Hui Zhong, Xing Wang, Yonghong He, Wenting Huang, Tian Guan
2022	A*	`conf`	Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. IJCAI Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
2022	J	`jnl`	Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution. CoRR Feiyang Pan, Tongzhe Zhang, Ling Luo, Jia He, Shuoling Liu
2022	J	`jnl`	Learning policy scheduling for text augmentation. Neural Networks Shuokai Li, Xiang Ao, Feiyang Pan, Qing He
2022	J	`jnl`	Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. Feiyang Pan, Shuokai Li, Xiang Ao, Qing He
2021	A*	`conf`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	GuideBoot: Guided Bootstrap for Deep Contextual Bandits. CoRR Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2021	A*	`conf`	GuideBoot: Guided Bootstrap for Deep Contextual Banditsin Online Advertising. WWW Feiyang Pan, Haoming Li, Xiang Ao, Wei Wang, Yanrong Kang, Ao Tan, Qing He
2020	C	`conf`	CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He
2020	A*	`conf`	Field-aware Calibration: A Simple and Empirically Strong Method for Reliable Probabilistic Predictions. WWW Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Lei Xiao, Qing He
2020	A*	`conf`	GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. SIGIR Jianfeng Liu, Feiyang Pan, Ling Luo
2020	J	`jnl`	GoChat: Goal-oriented Chatbots with Hierarchical Reinforcement Learning. CoRR Jianfeng Liu, Feiyang Pan, Ling Luo
2020	A*	`conf`	Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS Feiyang Pan, Jia He, Dandan Tu, Qing He
2020	J	`jnl`	Trust the Model When It Is Confident: Masked Model-based Actor-Critic. CoRR Feiyang Pan, Jia He, Dandan Tu, Qing He
2019	A*	`conf`	Policy Gradients for Contextual Recommendations. WWW Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2019	A*	`conf`	Policy Optimization with Model-Based Explorations. AAAI Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang
2019	—	`conf`	Reading Like HER: Human Reading Inspired Extractive Summarization. EMNLP/IJCNLP (1) Ling Luo, Xiang Ao, Yan Song, Feiyang Pan, Min Yang, Qing He
2019	J	`jnl`	Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks. CoRR Feiyang Pan, Xiang Ao, Pingzhong Tang, Min Lu, Dapeng Liu, Qing He
2019	A*	`conf`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. SIGIR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2019	J	`jnl`	Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings. CoRR Feiyang Pan, Shuokai Li, Xiang Ao, Pingzhong Tang, Qing He
2018	A*	`conf`	Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention. IJCAI Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
2018	J	`jnl`	Policy Gradients for Contextual Bandits. CoRR Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He
2018	J	`jnl`	Policy Optimization with Model-based Explorations. CoRR Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang