Hidden Markov Model for eye gaze prediction in networked video streaming. - Yunlong Feng; Gene Cheung; Wai-tian Tan; Yusheng Ji (ICME, 2011)

Gaze-Driven video streaming with saliency-based dual-stream switching. - Yunlong Feng; Gene Cheung; Wai-tian Tan; Yusheng Ji (VCIP, 2012)

Video attention deviation estimation using inter-frame visual saliency map analysis. - Yunlong Feng; Gene Cheung; Patrick Le Callet; Yusheng Ji (Visual Information Processing and Communication, 2012)

3D motion in visual saliency modeling. - Pengfei Wan 001; Yunlong Feng; Gene Cheung; Ivan V. Bajic; Oscar C. Au; Yusheng Ji (ICASSP, 2013)

3-D Motion Estimation for Visual Saliency Modeling. - Pengfei Wan 001; Yunlong Feng; Gene Cheung; Ivan V. Bajic; Oscar C. Au (IEEE Signal Process. Lett., 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)

Human Interactive System for Networked Video Streaming. - Yunlong Feng (2014)

Learning with the maximum correntropy criterion induced losses for regression. - Yunlong Feng; Xiaolin Huang; Lei Shi 010; Yuning Yang; Johan A. K. Suykens (J. Mach. Learn. Res., 2015)

A Rank-One Tensor Updating Algorithm for Tensor Completion. - Yuning Yang; Yunlong Feng; Johan A. K. Suykens (IEEE Signal Process. Lett., 2015)

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (KDD, 2016)

Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. - Yunlong Feng; Shao-Gao Lv; Hanyuan Hang; 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)

Learning Theory Estimates with Observations from General Stationary Stochastic Processes. - Hanyuan Hang; Yunlong Feng; Ingo Steinwart; Johan A. K. Suykens (Neural Comput., 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)

Robust Gradient Learning With Applications. - Yunlong Feng; Yuning Yang; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 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)

Moving Least Squares Support Vector Machines for weather temperature prediction. - Zahra Karevan; Yunlong Feng; Johan A. K. Suykens (ESANN, 2017)

Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise. - Yunlong Feng; Yiming Ying (CoRR, 2018)

Correntropy Based Matrix Completion. - Yuning Yang; Yunlong Feng; Johan A. K. Suykens (Entropy, 2018)

Kernel Density Estimation for Dynamical Systems. - Hanyuan Hang; Ingo Steinwart; Yunlong Feng; Johan A. K. Suykens (J. Mach. Learn. Res., 2018)

Segmentaion of Parapapillary Atrophy in Retinal Images using HED. - Yunlong Feng; Hanxiang Li; Jie Xu 010; Huiqi Li (CISP-BMEI, 2019)

Sparse Kernel Regression with Coefficient-based $ ell_q-$regularization. - Lei Shi 010; Xiaolin Huang; Yunlong Feng; Johan A. K. Suykens (J. Mach. Learn. Res., 2019)

Towards Confidence Interval Estimation in Truth Discovery. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2019)

HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser. - Longxu Dou; Yunlong Feng; Yuqiu Ji; Wanxiang Che; Ting Liu 001 (CoNLL Shared Task, 2020)

Automatic detection of parapapillary atrophy and its association with children myopia. - Hanxiang Li; Huiqi Li; Jieliang Kang; Yunlong Feng; Jie Xu 010 (Comput. Methods Programs Biomed., 2020)

N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. - Wanxiang Che; Yunlong Feng; Libo Qin 001; Ting Liu 001 (CoRR, 2020)

A Statistical Learning Approach to Modal Regression. - Yunlong Feng; Jun Fan; Johan A. K. Suykens (J. Mach. Learn. Res., 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)

N-LTP: An Open-source Neural Language Technology Platform for Chinese. - Wanxiang Che; Yunlong Feng; Libo Qin 001; Ting Liu 001 (EMNLP (Demos), 2021)

New Insights Into Learning With Correntropy-Based Regression. - Yunlong Feng (Neural Comput., 2021)

A Framework of Learning Through Empirical Gain Maximization. - Yunlong Feng; Qiang Wu 003 (Neural Comput., 2021)

A statistical learning assessment of Huber regression. - Yunlong Feng; Qiang Wu 003 (J. Approx. Theory, 2022)

Fast Rates of Gaussian Empirical Gain Maximization With Heavy-Tailed Noise. - Shouyou Huang; Yunlong Feng; Qiang Wu 003 (IEEE Trans. Neural Networks Learn. Syst., 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 081; Wei Xue 003; Dexun Chen; Jiawei Song; Zuoning Chen (IEEE Trans. Parallel Distributed Syst., 2022)

OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding. - Libo Qin 001; Qiguang Chen; Xiao Xu 005; Yunlong Feng; Wanxiang Che (ACL (demo), 2023)

Semantic-Guided Image Augmentation with Pre-trained Models. - Bohan Li; Xinghao Wang; Xiao Xu 005; Yutai Hou; Yunlong Feng; Feng Wang; Wanxiang Che (CoRR, 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)

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 023; Heng Guo; Xin Liu 081; Dexun Chen; Yuling Yang; Jie Gao; Yunlong Feng; Longde Chen; Xiaona Diao; Zuoning Chen (Frontiers Inf. Technol. Electron. Eng., 2023)

Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation. - Yuning Yang; Yunlong Feng (Adv. Comput. Math., 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., 2023)

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. - Bohan Li; Xiao Xu 005; Xinghao Wang; Yutai Hou; Yunlong Feng; Feng Wang; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (AAAI, 2024)

ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models. - Haochen Tan; Zhijiang Guo; Zhan Shi 001; Lu Xu; Zhili Liu; Yunlong Feng; Xiaoguang Li; Yasheng Wang; Lifeng Shang; Qun Liu 001; Linqi Song (ACL (1), 2024)

Concise and Precise Context Compression for Tool-Using Language Models. - Yang Xu 049; Yunlong Feng; Honglin Mu; Yutai Hou; Yitong Li; Xinghao Wang; Wanjun Zhong; Zhongyang Li; Dandan Tu; Qingfu Zhu; Min Zhang 005; Wanxiang Che (ACL (Findings), 2024)

A Two-Stage Framework with Self-Supervised Distillation for Cross-Domain Text Classification. - Yunlong Feng; Bohan Li; Libo Qin 001; Xiao Xu 005; Wanxiang Che (LREC/COLING, 2024)

Improving Language Model Reasoning with Self-motivated Learning. - Yunlong Feng; Yang Xu 049; Libo Qin 001; Yasheng Wang; Wanxiang Che (LREC/COLING, 2024)

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants' API Invocation Capabilities. - Honglin Mu; Yang Xu 049; Yunlong Feng; Xiaofeng Han; Yitong Li; Yutai Hou; Wanxiang Che (LREC/COLING, 2024)

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. - Yunlong Feng; Dechuan Teng; Yang Xu 049; Honglin Mu; Xiao Xu 005; Libo Qin 001; Qingfu Zhu; Wanxiang Che (EMNLP (Findings), 2024)

Block-Map-Based Localization in Large-Scale Environment. - Yixiao Feng; Zhou Jiang; Yongliang Shi; Yunlong Feng; Xiangyu Chen; Hao Zhao 002; Guyue Zhou (ICRA, 2024)

AutoPSV: Automated Process-Supervised Verifier. - Jianqiao Lu; Zhiyang Dou; Hongru Wang 003; Zeyu Cao; Jianbo Dai; Yunlong Feng; Zhijiang Guo (NeurIPS, 2024)

A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlapping excitation and emission spectra. - Ruogu Wang; Yunlong Feng; Alex M. Valm (Briefings Bioinform., 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)

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits. - Bohan Li; Jiannan Guan; Longxu Dou; Yunlong Feng; Dingzirui Wang; Yang Xu 049; Enbo Wang; Qiguang Chen; Bichen Wang; Xiao Xu 005; Yimeng Zhang; Libo Qin 001; et al. (COLING, 2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. - Honglin Mu; Han He; Yuxin Zhou; Yunlong Feng; Yang Xu 049; Libo Qin 001; Xiaoming Shi; Zeming Liu; Xudong Han; Qi Shi 002; Qingfu Zhu; Wanxiang Che (NAACL (Long Papers), 2025)

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. - Shanghaoran Quan; Jiaxi Yang; Bowen Yu 002; Bo Zheng 007; Dayiheng Liu; An Yang; Xuancheng Ren; Bofei Gao; Yibo Miao; Yunlong Feng; Zekun Wang; Jian Yang 003; et al. (CoRR, 2025)

ReF Decompile: Relabeling and Function Call Enhanced Decompile. - Yunlong Feng; Bohan Li; Xiaoming Shi; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

SCALAR: Scientific Citation-based Live Assessment of Long-context Academic Reasoning. - Renxi Wang; Honglin Mu; Liqun Ma; Lizhi Lin; Yunlong Feng; Timothy Baldwin; Xudong Han; Haonan Li 002 (CoRR, 2025)

A Linear N-Point Solver for Structure and Motion from Asynchronous Tracks. - Hang Su; Yunlong Feng; Daniel Gehrig; Panfeng Jiang; Ling Gao 001; Xavier Lagorce; Laurent Kneip (CoRR, 2025)

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. - Bohan Li; Longxu Dou; Yutai Hou; Yunlong Feng; Honglin Mu; Enbo Wang; Qingfu Zhu; Qinghua Sun; Wanxiang Che (Int. J. Mach. Learn. Cybern., 2025)