Yunlong Feng

According to our database, Yunlong Feng authored at least 49 papers between 2011 and 2024.

Collaborative distances:

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

2024

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement.

Yunlong Feng, Yang Xu, Dechuan Teng, Honglin Mu, Xiao Xu, Libo Qin, Wanxiang Che, Qingfu Zhu

CoRR, 2024

MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation.

Jianbo Dai, Jianqiao Lu, Yunlong Feng, Rongju Ruan, Ming Cheng, Haochen Tan, Zhijiang Guo

CoRR, 2024

Block-Map-Based Localization in Large-Scale Environment.

Yixiao Feng, Zhou Jiang, Yongliang Shi, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities.

Honglin Mu, Yang Xu, Yunlong Feng, Xiaofeng Han, Yitong Li, Yutai Hou, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Language Model Reasoning with Self-motivated Learning.

Yunlong Feng, Yang Xu, Libo Qin, Yasheng Wang, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification.

Yunlong Feng, Bohan Li, Libo Qin, Xiao Xu, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Concise and Precise Context Compression for Tool-Using Language Models.

Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics, 2024

ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification.

Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unmixing biological fluorescence image data with sparse and low-rank Poisson regression.

Ruogu Wang, Alex A. Lemus, Colin M. Henneberry, Yiming Ying, Yunlong Feng, Alex M. Valm

Bioinform., April, 2023

Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation.

Yuning Yang, Yunlong Feng

Adv. Comput. Math., April, 2023

Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system.

Xiaobin He, Xin Chen, Heng Guo, Xin Liu, Dexun Chen, Yuling Yang, Jie Gao, Yunlong Feng, Longde Chen, Xiaona Diao, Zuoning Chen

Frontiers Inf. Technol. Electron. Eng., January, 2023

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning.

Bohan Li, Longxu Dou, Yutai Hou, Yunlong Feng, Honglin Mu, Wanxiang Che

CoRR, 2023

Semantic-Guided Image Augmentation with Pre-trained Models.

Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che

CoRR, 2023

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding.

Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications.

Dajia Peng, Yunlong Feng, Yong Liu, Xin Liu, Wei Xue, Dexun Chen, Jiawei Song, Zuoning Chen

IEEE Trans. Parallel Distributed Syst., 2022

Fast Rates of Gaussian Empirical Gain Maximization With Heavy-Tailed Noise.

Shouyou Huang, Yunlong Feng, Qiang Wu

IEEE Trans. Neural Networks Learn. Syst., 2022

A statistical learning assessment of Huber regression.

Yunlong Feng, Qiang Wu

J. Approx. Theory, 2022

2021

A Framework of Learning Through Empirical Gain Maximization.

Yunlong Feng, Qiang Wu

Neural Comput., 2021

New Insights Into Learning With Correntropy-Based Regression.

Yunlong Feng

Neural Comput., 2021

N-LTP: An Open-source Neural Language Technology Platform for Chinese.

Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2021

2020

An automatic evaluation method for retinal image registration based on similar vessel structure matching.

Yifan Shu, Yunlong Feng, Guannan Wu, Jieliang Kang, Huiqi Li

Medical Biol. Eng. Comput., 2020

A Statistical Learning Approach to Modal Regression.

Yunlong Feng, Jun Fan, Johan A. K. Suykens

J. Mach. Learn. Res., 2020

N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models.

Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu

CoRR, 2020

Automatic detection of parapapillary atrophy and its association with children myopia.

Hanxiang Li, Huiqi Li, Jieliang Kang, Yunlong Feng, Jie Xu

Comput. Methods Programs Biomed., 2020

HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser.

Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing, 2020

2019

Towards Confidence Interval Estimation in Truth Discovery.

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang

IEEE Trans. Knowl. Data Eng., 2019

Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization.

Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens

J. Mach. Learn. Res., 2019

Segmentaion of Parapapillary Atrophy in Retinal Images using HED.

Yunlong Feng, Hanxiang Li, Jie Xu, Huiqi Li

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Kernel Density Estimation for Dynamical Systems.

Hanyuan Hang, Ingo Steinwart, Yunlong Feng, Johan A. K. Suykens

J. Mach. Learn. Res., 2018

Correntropy Based Matrix Completion.

Yuning Yang, Yunlong Feng, Johan A. K. Suykens

Entropy, 2018

Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise.

Yunlong Feng, Yiming Ying

CoRR, 2018

2017

Moving Least Squares Support Vector Machines for weather temperature prediction.

Zahra Karevan, Yunlong Feng, Johan A. K. Suykens

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016

Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator.

Yuning Yang, Yunlong Feng, Johan A. K. Suykens

IEEE Trans. Neural Networks Learn. Syst., 2016

Robust Gradient Learning With Applications.

Yunlong Feng, Yuning Yang, Johan A. K. Suykens

IEEE Trans. Neural Networks Learn. Syst., 2016

Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems.

Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A. K. Suykens

SIAM J. Optim., 2016

Learning Theory Estimates with Observations from General Stationary Stochastic Processes.

Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens

Neural Comput., 2016

Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses.

Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens

Neural Comput., 2016

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery.

Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens

Neural Comput., 2016

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.

Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

A Rank-One Tensor Updating Algorithm for Tensor Completion.

Yuning Yang, Yunlong Feng, Johan A. K. Suykens

IEEE Signal Process. Lett., 2015

Learning with the maximum correntropy criterion induced losses for regression.

Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens

J. Mach. Learn. Res., 2015

2014

Human Interactive System for Networked Video Streaming.

Yunlong Feng

PhD thesis, 2014

2013

Low-Cost Eye Gaze Prediction System for Interactive Networked Video Streaming.

Yunlong Feng, Gene Cheung, Wai-tian Tan, Patrick Le Callet, Yusheng Ji

IEEE Trans. Multim., 2013

3-D Motion Estimation for Visual Saliency Modeling.

Pengfei Wan, Yunlong Feng, Gene Cheung, Ivan V. Bajic, Oscar C. Au

IEEE Signal Process. Lett., 2013

3D motion in visual saliency modeling.

Pengfei Wan, Yunlong Feng, Gene Cheung, Ivan V. Bajic, Oscar C. Au, Yusheng Ji

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Video attention deviation estimation using inter-frame visual saliency map analysis.

Yunlong Feng, Gene Cheung, Patrick Le Callet, Yusheng Ji

Proceedings of the Visual Information Processing and Communication III, 2012

Gaze-Driven video streaming with saliency-based dual-stream switching.

Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji

Proceedings of the 2012 Visual Communications and Image Processing, 2012

2011

Hidden Markov Model for eye gaze prediction in networked video streaming.

Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji

Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011