Yunlong Feng

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Topics

Retinal Image Registration

Support Vector Machines For Classification

Stochastic Processes

Top Venues

J. Mach. Learn. Res.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Jianbo Dai, Jianqiao Lu, Yunlong Feng, Rongju Ruan, Ming Cheng, Haochen Tan, Zhijiang Guo
MHPP: Exploring the Capabilities and Limitations of Language Models Beyond Basic Code Generation. CoRR (2024)
Yunlong Feng, Yang Xu, Libo Qin, Yasheng Wang, Wanxiang Che
Improving Language Model Reasoning with Self-motivated Learning. CoRR (2024)
Honglin Mu, Yang Xu, Yunlong Feng, Xiaofeng Han, Yitong Li, Yutai Hou, Wanxiang Che
Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities. LREC/COLING (2024)
Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che
Concise and Precise Context Compression for Tool-Using Language Models. CoRR (2024)
Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che
Concise and Precise Context Compression for Tool-Using Language Models. ACL (Findings) (2024)
Yixiao Feng, Zhou Jiang, Yongliang Shi, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou
Block-Map-Based Localization in Large-Scale Environment. ICRA (2024)
Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. AAAI (2024)
Yunlong Feng, Bohan Li, Libo Qin, Xiao Xu, Wanxiang Che
A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification. LREC/COLING (2024)
Yunlong Feng, Yang Xu, Dechuan Teng, Honglin Mu, Xiao Xu, Libo Qin, Wanxiang Che, Qingfu Zhu
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. CoRR (2024)
Yunlong Feng, Yang Xu, Libo Qin, Yasheng Wang, Wanxiang Che
Improving Language Model Reasoning with Self-motivated Learning. LREC/COLING (2024)
Yixiao Feng, Zhou Jiang, Yongliang Shi, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou
Block-Map-Based Localization in Large-Scale Environment. CoRR (2024)
Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song
ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. ACL (1) (2024)
Honglin Mu, Yang Xu, Yunlong Feng, Xiaofeng Han, Yitong Li, Yutai Hou, Wanxiang Che
Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities. CoRR (2024)
Bohan Li, Longxu Dou, Yutai Hou, Yunlong Feng, Honglin Mu, Wanxiang Che
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. CoRR (2023)
Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding. CoRR (2023)
Ruogu Wang, Alex A. Lemus, Colin M. Henneberry, Yiming Ying, Yunlong Feng, Alex M. Valm
Unmixing biological fluorescence image data with sparse and low-rank Poisson regression. Bioinform. 39 (4) (2023)
Yuning Yang, Yunlong Feng
Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation. Adv. Comput. Math. 49 (2) (2023)
Yunlong Feng, Bohan Li, Libo Qin, Xiao Xu, Wanxiang Che
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification. CoRR (2023)
Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding. ACL (demo) (2023)
Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che
Semantic-Guided Image Augmentation with Pre-trained Models. CoRR (2023)
Xiaobin He, Xin Chen, Heng Guo, Xin Liu, Dexun Chen, Yuling Yang, Jie Gao, Yunlong Feng, Longde Chen, Xiaona Diao, Zuoning Chen
Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system. Frontiers Inf. Technol. Electron. Eng. 24 (1) (2023)
Shouyou Huang, Yunlong Feng, Qiang Wu
Fast Rates of Gaussian Empirical Gain Maximization With Heavy-Tailed Noise. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Yunlong Feng, Qiang Wu
A statistical learning assessment of Huber regression. J. Approx. Theory 273 (2022)
Dajia Peng, Yunlong Feng, Yong Liu, Xin Liu, Wei Xue, Dexun Chen, Jiawei Song, Zuoning Chen
Jdebug: A Fast, Non-Intrusive and Scalable Fault Locating Tool for Ten-Million-Scale Parallel Applications. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) (2021)
Yunlong Feng
New Insights Into Learning With Correntropy-Based Regression. Neural Comput. 33 (1) (2021)
Yunlong Feng, Qiang Wu
A Framework of Learning Through Empirical Gain Maximization. Neural Comput. 33 (6) (2021)
Hanxiang Li, Huiqi Li, Jieliang Kang, Yunlong Feng, Jie Xu
Automatic detection of parapapillary atrophy and its association with children myopia. Comput. Methods Programs Biomed. 183 (2020)
Yunlong Feng, Qiang Wu
A Statistical Learning Assessment of Huber Regression. CoRR (2020)
Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu
N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. CoRR (2020)
Yunlong Feng
New Insights into Learning with Correntropy Based Regression. CoRR (2020)
Yunlong Feng, Qiang Wu
A Framework of Learning Through Empirical Gain Maximization. CoRR (2020)
Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu
HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser. CoNLL Shared Task (2020)
Yifan Shu, Yunlong Feng, Guannan Wu, Jieliang Kang, Huiqi Li
An automatic evaluation method for retinal image registration based on similar vessel structure matching. Medical Biol. Eng. Comput. 58 (1) (2020)
Yunlong Feng, Jun Fan, Johan A. K. Suykens
A Statistical Learning Approach to Modal Regression. J. Mach. Learn. Res. 21 (2020)
Yunlong Feng, Hanxiang Li, Jie Xu, Huiqi Li
Segmentaion of Parapapillary Atrophy in Retinal Images using HED. CISP-BMEI (2019)
Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization. J. Mach. Learn. Res. 20 (2019)
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31 (3) (2019)
Yunlong Feng, Yiming Ying
Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise. CoRR (2018)
Hanyuan Hang, Ingo Steinwart, Yunlong Feng, Johan A. K. Suykens
Kernel Density Estimation for Dynamical Systems. J. Mach. Learn. Res. 19 (2018)
Yuning Yang, Yunlong Feng, Johan A. K. Suykens
Correntropy Based Matrix Completion. Entropy 20 (3) (2018)
Zahra Karevan, Yunlong Feng, Johan A. K. Suykens
Moving Least Squares Support Vector Machines for weather temperature prediction. ESANN (2017)
Yunlong Feng, Yuning Yang, Xiaolin Huang, Siamak Mehrkanoon, Johan A. K. Suykens
Robust Support Vector Machines for Classification with Nonconvex and Smooth Losses. Neural Comput. 28 (6) (2016)
Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A. K. Suykens
Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems. SIAM J. Optim. 26 (1) (2016)
Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
Learning Theory Estimates with Observations from General Stationary Stochastic Processes. Neural Comput. 28 (12) (2016)
Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. Neural Comput. 28 (3) (2016)
Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens
Learning theory estimates with observations from general stationary stochastic processes. CoRR (2016)
Yuning Yang, Yunlong Feng, Johan A. K. Suykens
Robust Low-Rank Tensor Recovery With Regularized Redescending M-Estimator. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD (2016)
Yunlong Feng, Yuning Yang, Johan A. K. Suykens
Robust Gradient Learning With Applications. IEEE Trans. Neural Networks Learn. Syst. 27 (4) (2016)
Yunlong Feng, Xiaolin Huang, Lei Shi, Yuning Yang, Johan A. K. Suykens
Learning with the maximum correntropy criterion induced losses for regression. J. Mach. Learn. Res. 16 (2015)
Yuning Yang, Yunlong Feng, Johan A. K. Suykens
A Rank-One Tensor Updating Algorithm for Tensor Completion. IEEE Signal Process. Lett. 22 (10) (2015)
Yunlong Feng, Gene Cheung, Wai-tian Tan, Patrick Le Callet, Yusheng Ji
Low-Cost Eye Gaze Prediction System for Interactive Networked Video Streaming. IEEE Trans. Multim. 15 (8) (2013)
Pengfei Wan, Yunlong Feng, Gene Cheung, Ivan V. Bajic, Oscar C. Au
3-D Motion Estimation for Visual Saliency Modeling. IEEE Signal Process. Lett. 20 (10) (2013)
Pengfei Wan, Yunlong Feng, Gene Cheung, Ivan V. Bajic, Oscar C. Au, Yusheng Ji
3D motion in visual saliency modeling. ICASSP (2013)
Yunlong Feng, Gene Cheung, Patrick Le Callet, Yusheng Ji
Video attention deviation estimation using inter-frame visual saliency map analysis. Visual Information Processing and Communication (2012)
Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji
Gaze-Driven video streaming with saliency-based dual-stream switching. VCIP (2012)
Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji
Hidden Markov Model for eye gaze prediction in networked video streaming. ICME (2011)