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ORCIDYan Fang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j28]Yan Fang
, Qi Lang, Wei Lu, Xiaodong Liu, Jianhua Yang:
Hierarchical knowledge graph relationship prediction leverage of axiomatic fuzzy set graph structure. Expert Syst. Appl. 251: 124090 (2024)- [j27]Jianzhong Qiu, Jun Wu, Xi Chen, Bingyan Zhao, Yan Fang:
Production scheduling decision-making technology for multiple CNC machining centers with constraints on serviceable time. J. Sched. 27(5): 441-459 (2024) - [j26]Qi Lang, Witold Pedrycz, Xiaodong Liu, Yan Fang:
A Tree-Shaped Fuzzy Clustering Answer Retrieval Model Based on Question Alignment. IEEE Trans. Fuzzy Syst. 32(10): 5845-5857 (2024) - [j25]Xue Wang, Zhuoqi Chen, Zhizhuo Xu, Ruirui Wang, Ran Lu, Yan Fang, Fengming Hui, Xiao Cheng:
A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [c45]Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao:
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. AAAI 2024: 17994-18002 - [c44]Yijun Zhao, Yiming Cheng, Shiying Ding, Yan Fang, Wei Cao, Ke Liu, Jiacheng Cao:
Magic Camera: An AI Drawing Game Supporting Instantaneous Story Creation for Children. IDC 2024: 738-743 - [c43]Hao Zhang, Yan Fang, Xiaodong Liu:
A Deep Reinforcement Learning Model for Portfolio Management Incorporating Historical Stock Prices and Risk Information. ICDLT 2024: 1-8 - [c42]Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu:
Scaling Laws For Dense Retrieval. SIGIR 2024: 1339-1349 - [c41]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. WWW (Companion Volume) 2024: 10-19 - [d1]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. Zenodo, 2024
- [i11]Beibei Yang, Weiling Li, Yan Fang:
Representation Learning on Event Stream via an Elastic Net-incorporated Tensor Network. CoRR abs/2401.08068 (2024) - [i10]Yan Fang, Jingtao Zhan, Qingyao Ai, Jiaxin Mao, Weihang Su, Jia Chen, Yiqun Liu:
Scaling Laws For Dense Retrieval. CoRR abs/2403.18684 (2024) - [i9]Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang:
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. CoRR abs/2404.08301 (2024) - [i8]Zilong Bai, Ruiji Zhang, Linqing Chen, Qijun Cai, Yuan Zhong, Cong Wang, Yan Fang, Jie Fang, Jing Sun, Weikuan Wang, Lizhi Zhou, Haoran Hua, Tian Qiu, Chaochao Wang, Cheng Sun, Jianping Lu, Yixin Wang, Yubin Xia, Meng Hu, Haowen Liu, Peng Xu, Licong Xu, Fu Bian, Xiaolong Gu, Lisha Zhang, Weilei Wang, Changyang Tu:
PatentGPT: A Large Language Model for Intellectual Property. CoRR abs/2404.18255 (2024) - [i7]Linqing Chen, Weilei Wang, Zilong Bai, Peng Xu, Yan Fang, Jie Fang, Wentao Wu, Lizhi Zhou, Ruiji Zhang, Yubin Xia, Chaobo Xu, Ran Hu, Licong Xu, Qijun Cai, Haoran Hua, Jing Sun, Jin Liu, Tian Qiu, Haowen Liu, Meng Hu, Xiuwen Li, Fei Gao, Yufu Wang, Lin Tie, Chaochao Wang, Jianping Lu, Cheng Sun, Yixin Wang, Shengjie Yang, Yuancheng Li, Lu Jin, Lisha Zhang, Fu Bian, Changyang Tu:
PharmGPT: Domain-Specific Large Language Models for Bio-Pharmaceutical and Chemistry. CoRR abs/2406.18045 (2024) - 2023
- [j24]Yan Fang, Xue Wang, Gang Li, Zhuoqi Chen, Fengming Hui, Xiao Cheng:
Arctic sea ice drift fields extraction based on feature tracking to MODIS imagery. Int. J. Appl. Earth Obs. Geoinformation 120: 103353 (2023) - [j23]Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang:
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. Data Sci. Eng. 8(4): 385-395 (2023) - [j22]Xue Wang, Zhuoqi Chen, Yan Fang, Ruirui Wang, Chaoyue Li, Gang Li, Fengming Hui, Huabing Huang, Xiao Cheng:
An improvement in accuracy and spatial resolution of the pattern-matching sea ice drift from SAR imagery. Int. J. Digit. Earth 16(2): 4073-4094 (2023) - [j21]Yan Fang, Wenyan Wang, Pengcheng Wu, Yunfan Zhao:
A sentiment-enhanced hybrid model for crude oil price forecasting. Expert Syst. Appl. 215: 119329 (2023) - [j20]Ping Xia, Feng Qin Zhu, Yan Fang, Shu Han Zhang, Zhi Feng Zhang, Xiaoming Li, Tao Chen:
The Effect of Ultrasound-Guided Treatment of Symptomatic Partial Rotator Cuff Injury Under the Background of Deep Learning. Int. J. Comput. Intell. Syst. 16(1): 47 (2023) - [j19]Yan Fang, Wei Lu, Xiaodong Liu, Witold Pedrycz, Qi Lang, Jianhua Yang:
CircularE: A Complex Space Circular Correlation Relational Model for Link Prediction in Knowledge Graph Embedding. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3162-3175 (2023) - [c40]Ashwin Sanjay Lele, Muya Chang, Samuel D. Spetalnick, Brian Crafton, Arijit Raychowdhury, Yan Fang:
Neuromorphic Swarm on RRAM Compute-in-Memory Processor for Solving QUBO Problem. DAC 2023: 1-6 - [c39]Yan Fang, Feng Zhu, Bowen Cheng, Luoqi Liu, Yao Zhao, Yunchao Wei:
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation. ICCV 2023: 16566-16576 - [c38]Yan Fang, Chi Zhang, Qiang Sun:
The Impact of Digitization of Living Service on Labor Income Share. ICIBE 2023: 370-378 - [c37]Yan Fang, Zhongyuan Wang, Jikang Cheng, Ruoxi Wang, Chao Liang:
Promoting adversarial transferability with enhanced loss flatness. ICME 2023: 1217-1222 - [c36]Beibei Yang, Guangyu Jiang, Yan Fang, Weiling Li:
Incorporating Event Information for High-Quality Video Interpolation. ICNSC 2023: 1-6 - [c35]Ashwin Sanjay Lele, Muya Chang, Samuel Spetalnick, Yan Fang, Brian Crafton, Shota Konno, Arijit Raychowdhury:
Live Demonstration: Hybrid RRAM and SRAM SoC for Fused Frame and Event Target Tracking. ISCAS 2023: 1 - [c34]Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu, Chunlei Chai:
DesignGPT: Multi-Agent Collaboration in Design. ISCID 2023: 204-208 - [c33]Yijun Zhao, Yiming Cheng, Sizhou Zhang, Yan Fang, Xiaojing Zhou, Jiacheng Cao:
MathForest: A Tangible Collaborative Game for Developing Children's Spatial Skills. ISCID 2023: 209-213 - [c32]Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang:
Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8 - [i6]Shiying Ding, Xinyi Chen, Yan Fang, Wenrui Liu, Yiwu Qiu, Chunlei Chai:
DesignGPT: Multi-Agent Collaboration in Design. CoRR abs/2311.11591 (2023) - 2022
- [j18]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
An End-to-End Spiking Neural Network Platform for Edge Robotics: From Event-Cameras to Central Pattern Generation. IEEE Trans. Cogn. Dev. Syst. 14(3): 1092-1103 (2022) - [j17]Hang Cheng, Ximeng Liu, Huaxiong Wang, Yan Fang, Meiqing Wang, Xiaopeng Zhao:
SecureAD: A Secure Video Anomaly Detection Framework on Convolutional Neural Network in Edge Computing Environment. IEEE Trans. Cloud Comput. 10(2): 1413-1427 (2022) - [j16]Ling Li, Yan Fang:
A power information security partition storage method based on multidimensional data mining. Web Intell. 20(2): 113-122 (2022) - [c31]Yan Fang, Ashwin Sanjay Lele:
Solving Quadratic Unconstrained Binary Optimization with Collaborative Spiking Neural Networks. ICRC 2022: 84-88 - [c30]Yan Fang, Rui Wang, Mingyue Guo, Ying Hou:
Product bundling for online supermarkets by frequent itemset mining and optimization approach. KES 2022: 4434-4441 - [c29]Yan Fang, Jingtao Zhan, Yiqun Liu, Jiaxin Mao, Min Zhang, Shaoping Ma:
Joint Optimization of Multi-vector Representation with Product Quantization. NLPCC (1) 2022: 631-642 - [c28]Jia Chen, Yiqun Liu, Yan Fang, Jiaxin Mao, Hui Fang, Shenghao Yang, Xiaohui Xie, Min Zhang, Shaoping Ma:
Axiomatically Regularized Pre-training for Ad hoc Search. SIGIR 2022: 1524-1534 - 2021
- [j15]Brian Crafton, Samuel Spetalnick, Yan Fang, Arijit Raychowdhury:
Merged Logic and Memory Fabrics for Accelerating Machine Learning Workloads. IEEE Des. Test 38(1): 39-68 (2021) - [j14]Hang Cheng, Huaxiong Wang, Ximeng Liu, Yan Fang, Meiqing Wang, Xiaojun Zhang:
Person Re-Identification over Encrypted Outsourced Surveillance Videos. IEEE Trans. Dependable Secur. Comput. 18(3): 1456-1473 (2021) - 2020
- [j13]Yan Fang, Yiping Jiang, Wei Fei:
Disruption Recovery for Urban Public Tram System: An Analysis of Replacement Service Selection. IEEE Access 8: 31633-31646 (2020) - [j12]Xingwu Yang, Yan Fang, Yang Fu, Yang Mi, Hao Li, Yani Wang:
Low-Complexity Model Predictive Control of AC/DC Converter With Constant Switching Frequency. IEEE Access 8: 137975-137985 (2020) - [j11]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Bio-Mimetic Hexapod Locomotion via Reinforcement-Based Spiking Central Pattern Generation. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 536-545 (2020) - [j10]Yan Fang, Taisheng Zeng, Tianrong Song:
Classification Method of EEG Based on Evolutionary Algorithm and Random Forest for Detection of Epilepsy. J. Medical Imaging Health Informatics 10(5): 979-983 (2020) - [j9]Bin Wang, Tingxi Wen, Ji-Gong Hou, Luxin Lin, Yan Fang, Yu Du, Ting Pan:
The High-Dimensional Signal Classification of Electrogastrogram for Detection of Gastric Motility Disorders. J. Medical Imaging Health Informatics 10(6): 1281-1287 (2020) - [c27]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL (demo) 2020: 142-149 - [c26]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. AICAS 2020: 208-212 - [c25]Yan Fang, Zhiwei Qi, Kun Yue:
Learning and Deduction of Rules for Knowledge Graph Completion. ICBDC 2020: 102-107 - [c24]Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. IJCNN 2020: 1-7 - [c23]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Online Reward-Based Training of Spiking Central Pattern Generator for Hexapod Locomotion. VLSI-SOC 2020: 208-209 - [i5]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. CoRR abs/2002.04793 (2020) - [i4]Ashwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury:
Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern Generation. CoRR abs/2003.10026 (2020) - [i3]Justin Ting, Yan Fang, Ashwin Sanjay Lele, Arijit Raychowdhury:
Bio-inspired Gait Imitation of Hexapod Robot Using Event-Based Vision Sensor and Spiking Neural Network. CoRR abs/2004.05450 (2020)
2010 – 2019
- 2019
- [j8]Yan Fang, Jing Zhao, Lingzhi Hu, Xiaoping Ying, Yanfang Pan, Xiaoping Wang:
Image classification toward breast cancer using deeply-learned quality features. J. Vis. Commun. Image Represent. 64 (2019) - [c22]Yan Fang, Wei Chen, Lixin Li:
Balancing Energy Efficiency and Hit Ratio in Social-Aware Caching: A Cross Layer Approach. GLOBECOM 2019: 1-6 - [c21]Jinling Zhao, Yan Fang, Qi Hong, Zhenggao Pan, Linsheng Huang, Dongyan Zhang:
UAV-Based Identification of Achnatherum Splendens Community Combining K-Means and Artificial Fish Swarm Algorithm. IGARSS 2019: 2439-2442 - 2018
- [c20]Yan Fang, Xinyue Xiao, Xiaoyu Wang, Huiqing Lan:
Customized Bundle Recommendation by Association Rules of Product Categories for Online Supermarkets. DSC 2018: 472-475 - 2017
- [j7]Yan Fang, Xin Jin, Chencan Huang, Zhijing Zhang:
Entropy-Based Method for Evaluating Contact Strain-Energy Distribution for Assembly Accuracy Prediction. Entropy 19(2): 49 (2017) - [c19]XueYan Mei, Xiaomeng Dong, Timothy Deyer, Jingyi Zeng, Theodore B. Trafalis, Yan Fang:
Thyroid Nodule Benignty Prediction by Deep Feature Extraction. BIBE 2017: 241-245 - [c18]Yan Fang, Samuel J. Dickerson:
Achieving Swarm Intelligence with Spiking Neural Oscillators. ICRC 2017: 1-4 - [c17]Yan Fang, Lijun Sun, Ying Gao:
Bundle-Pricing Decision Model for Multiple Products. KES 2017: 2147-2154 - 2016
- [j6]Yan Fang, Victor V. Yashin, Brandon B. Jennings, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Simulation of Oscillator-Based Computing Systems. ACM J. Emerg. Technol. Comput. Syst. 13(2): 14:1-14:20 (2016) - [c16]Yan Fang, Chao Li, Lijun Sun:
Design of an Early Warning System for Patients with Cardiovascular Diseases Under Mobile Environment. KES 2016: 819-825 - 2015
- [j5]Yuqing Chen, Jie Ma, Yan Fang:
Mechanism modeling and analysis of surplus torque in aeroload simulator. Int. J. Model. Simul. Sci. Comput. 6(1): 1550005:1-1550005:20 (2015) - [c15]Donald M. Chiarulli, Brandon B. Jennings, Yan Fang, Andrew J. Seel, Steven P. Levitan:
A Computational Primitive for Convolution based on Coupled Oscillator Arrays. ISVLSI 2015: 125-130 - [c14]Yan Fang, Victor V. Yashin, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Oscillator Based Computing. ISVLSI 2015: 231-236 - [c13]Yan Fang, Amy Z. Zeng:
Long-term Collaboration Mechanism for Disruption Recovery Service in Public Tram Systems. KES 2015: 1337-1346 - [i2]Yan Fang, Victor V. Yashin, Donald M. Chiarulli, Steven P. Levitan:
A Simplified Phase Model for Oscillator Based Computing. CoRR abs/1508.00051 (2015) - 2014
- [j4]Yan Fang, Jinzhi Liu:
A novel prior-based real-time click through rate prediction model. Int. J. Mach. Learn. Cybern. 5(6): 887-895 (2014) - [c12]Yan Fang, Victor V. Yashin, Andrew J. Seel, Brandon B. Jennings, Reggie Barnett, Donald M. Chiarulli, Steven P. Levitan:
Modeling oscillator arrays for video analytic applications. ICCAD 2014: 86-91 - [c11]Matthew J. Cotter, Yan Fang, Steven P. Levitan, Donald M. Chiarulli, Vijaykrishnan Narayanan:
Computational Architectures Based on Coupled Oscillators. ISVLSI 2014: 130-135 - [c10]Brandon B. Jennings, Reggie Barnett, Chet N. Gnegy, John A. Carpenter, Yan Fang, Donald M. Chiarulli, Steven P. Levitan:
HMAX image processing pipeline with coupled oscillator acceleration. SiPS 2014: 286-291 - [i1]Yan Fang, Matthew J. Cotter, Donald M. Chiarulli, Steven P. Levitan:
Image Segmentation Using Frequency Locking of Coupled Oscillators. CoRR abs/1405.2362 (2014) - 2013
- [c9]Zi Yang, Elmer Garduño, Yan Fang, Avner Maiberg, Collin McCormack, Eric Nyberg:
Building optimal information systems automatically: configuration space exploration for biomedical information systems. CIKM 2013: 1421-1430 - [c8]Elmer Garduño, Zi Yang, Avner Maiberg, Collin McCormack, Yan Fang, Eric Nyberg:
CSE Framework: A UIMA-based Distributed System for Configuration Space Exploration. UIMA@GSCL 2013: 14-17 - [c7]Steven P. Levitan, Yan Fang, John A. Carpenter, Chet N. Gnegy, Natalie S. Janosik, Soyo Awosika-Olumo, Donald M. Chiarulli, György Csaba, Wolfgang Porod:
Associative processing with coupled oscillators. ISLPED 2013: 235 - 2012
- [c6]Yan Fang, Zhongqing Wang, Shoushan Li, Zhongguo Li, Richen Xu, Leixin Cai:
Soochow University Word Segmenter for SIGHAN 2012 Bakeoff. CIPS-SIGHAN 2012: 47-50 - [c5]Yujia Qin, Zhihong Li, Li Zhao, Glenn Fowler, Yan Fang:
The Current and Future Potential Geographical Distribution of the Italian Locust, Calliptamus Italicus (Linnaeus) (Orthoptera: Acrididae) in China. CCTA (2) 2012: 290-298
2000 – 2009
- 2009
- [c4]Bin Wang, Yan Fang, Jinfang Sheng, Weihua Gui, Ying Sun:
BTP Prediction Model Based on ANN and Regression Analysis. WKDD 2009: 108-111 - 2008
- [c3]Haoran Liu, Yan Fang, Xiaochen Hao, Jingjing Dou, Hongliang Li, Weihong Bi:
Research of inter-cluster multi-hop routing algorithm for wireless sensor networks. ISKE 2008: 1367-1372 - 2007
- [j3]Zhanwei Liu, Huimin Xie, Daining Fang, Changzhi Gu, Yonggang Meng, Weining Wang, Yan Fang, Jianmin Miao:
Deformation analysis in microstructures and micro-devices. Microelectron. Reliab. 47(12): 2226-2230 (2007)
1990 – 1999
- 1990
- [j2]Yan Fang, Terrence J. Sejnowski:
Faster Learning for Dynamic Recurrent Backpropagation. Neural Comput. 2(3): 270-273 (1990) - [j1]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A Dynamic Neural Network Model of Sensorimotor Transformations in the Leech. Neural Comput. 2(3): 274-282 (1990) - [c2]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
A dynamical neural network model of sensorimotor transformations in the leech. IJCNN 1990: 183-188
1980 – 1989
- 1989
- [c1]Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski:
Neural Network Analysis of Distributed Representations of Dynamical Sensory-Motor Transormations in the Leech. NIPS 1989: 28-35
Coauthor Index
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