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Publication search results
found 35 matches
- 2024
- Zhanyang Xu, Feiyang Qin, Ningyang Xiong, Hongyan Shi, Jiarui Zhang, Wei Lin:
Skeleton extraction of hard-pen regular script based on stroke characterization and ambiguous zone detection. IET Image Process. 18(6): 1504-1515 (2024) - Kang Wang, Feiyang Zheng, Lan Cheng, Hong-Ning Dai, Qi Dou, Jing Qin:
Breast Cancer Classification From Digital Pathology Images via Connectivity-Aware Graph Transformer. IEEE Trans. Medical Imaging 43(8): 2854-2865 (2024) - Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang:
Improving Graph Contrastive Learning via Adaptive Positive Sampling. CVPR 2024: 23179-23187 - Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song:
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. KDD 2024: 3598-3609 - Feiyang Xu, Shunyu Liu, Yunpeng Qing, Yihe Zhou, Yuwen Wang, Mingli Song:
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks. CoRR abs/2406.17818 (2024) - 2023
- Qing Gu, Xinyuan Zheng, Yonggang Zhou, Feiyang Sun, Shaobin Liu:
A 2.5D Broadband Non-Reciprocal Metasurface Based on Aperture-Coupled Feed Structures. IEEE Access 11: 104858-104865 (2023) - Jiangang Chen, Size Hou, Liang Feng, Bing Lu, Minglei Yang, Feiyang Sun, Qingli Li, Tao Tan, Xuedong Deng, Gaofeng Wei:
Ultrasonic evaluation of fetal lung development using deep learning with graph. Displays 78: 102451 (2023) - 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 - 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 - 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
- Feiyang Pan, Shuokai Li, Xiang Ao, Qing He:
Relation Reconstructive Binarization of word embeddings. Frontiers Comput. Sci. 16(2): 162307 (2022) - Shuokai Li, Xiang Ao, Feiyang Pan, Qing He:
Learning policy scheduling for text augmentation. Neural Networks 145: 121-127 (2022) - Di Cui, Xingyu Li, Feiyang Liu, Siqi Wang, Jie Dai, Lu Wang, Qingshan Li:
Towards Demystifying the Impact of Dependency Structures on Bug Locations in Deep Learning Libraries. ESEM 2022: 249-260 - Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai:
A Multi -level Alignment Training Scheme for Video-and-Language Grounding. ICDM (Workshops) 2022: 958-966 - Yubo Zhang, Feiyang Niu, Qing Ping, Govind Thattai:
A Multi-level Alignment Training Scheme for Video-and-Language Grounding. CoRR abs/2204.10938 (2022) - 2021
- Qin Yang, Feiyang Xu, Zhenhua Ling, Xin Li, Yunxia Li, Decheng Fang:
Selecting and Analyzing Speech Features for the Screening of Mild Cognitive Impairment. EMBC 2021: 1906-1910 - 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 - 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 - 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) - 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
- Jia He, Feiyang Pan, Fuzhen Zhuang, Qing He:
CCA-Flow: Deep Multi-view Subspace Learning with Inverse Autoregressive Flow. ACML 2020: 177-192 - Feiyang Pan, Jia He, Dandan Tu, Qing He:
Trust the Model When It Is Confident: Masked Model-based Actor-Critic. NeurIPS 2020 - 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 - 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) - Qing Ping, Feiyang Niu, Govind Thattai, Joel Chengottusseriyil, Qiaozi Gao, Aishwarya N. Reganti, Prashanth Rajagopal, Gökhan Tür, Dilek Hakkani-Tür, Prem Natarajan:
Interactive Teaching for Conversational AI. CoRR abs/2012.00958 (2020) - 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: 4675-4682 - 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 - 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 - Feiyang Pan, Qingpeng Cai, Pingzhong Tang, Fuzhen Zhuang, Qing He:
Policy Gradients for Contextual Recommendations. WWW 2019: 1421-1431 - 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)
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