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2020 – today
- 2025
[c20]Bohan Li, Jiannan Guan, Longxu Dou, Yunlong Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yimeng Zhang, Libo Qin, Yanyan Zhao, Qingfu Zhu, Wanxiang Che:
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits. COLING 2025: 5071-5081- [i19]Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin:
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings. CoRR abs/2501.01257 (2025) - 2024
- [c19]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: 3018-3027 - [c18]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: 6806-6827 - [c17]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: 16430-16441 - [c16]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: 1768-1777 - [c15]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: 2342-2353 - [c14]Yunlong Feng, Yang Xu, Libo Qin, Yasheng Wang, Wanxiang Che:
Improving Language Model Reasoning with Self-motivated Learning. LREC/COLING 2024: 8840-8852 - [c13]Yunlong Feng, Dechuan Teng, Yang Xu, Honglin Mu, Xiao Xu, Libo Qin, Qingfu Zhu, Wanxiang Che:
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. EMNLP (Findings) 2024: 6603-6614 - [c12]Yixiao Feng, Zhou Jiang, Yongliang Shi, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou:
Block-Map-Based Localization in Large-Scale Environment. ICRA 2024: 1709-1715 - [c11]Jianqiao Lu, Zhiyang Dou, Hongru Wang, Zeyu Cao, Jianbo Dai, Yunlong Feng, Zhijiang Guo:
AutoPSV: Automated Process-Supervised Verifier. NeurIPS 2024 - [i18]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 abs/2403.11128 (2024) - [i17]Yunlong Feng, Yang Xu, Libo Qin, Yasheng Wang, Wanxiang Che:
Improving Language Model Reasoning with Self-motivated Learning. CoRR abs/2404.07017 (2024) - [i16]Yixiao Feng, Zhou Jiang, Yongliang Shi, Yunlong Feng, Xiangyu Chen, Hao Zhao, Guyue Zhou:
Block-Map-Based Localization in Large-Scale Environment. CoRR abs/2404.18192 (2024) - [i15]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 abs/2405.11430 (2024) - [i14]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 abs/2406.17233 (2024) - [i13]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 abs/2407.02043 (2024) - [i12]Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che:
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. CoRR abs/2410.21083 (2024) - [i11]Bohan Li, Jiannan Guan, Longxu Dou, Yunlong Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yimeng Zhang, Libo Qin, Yanyan Zhao, Qingfu Zhu, Wanxiang Che:
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits. CoRR abs/2412.12510 (2024) - 2023
- [j25]Yuning Yang
, Yunlong Feng:
Half-quadratic alternating direction method of multipliers for robust orthogonal tensor approximation. Adv. Comput. Math. 49(2): 24 (2023) - [j24]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) - [j23]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): 41-58 (2023) - [c10]Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che:
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding. ACL (demo) 2023: 95-102 - [i10]Bohan Li, Xinghao Wang, Xiao Xu, Yutai Hou, Yunlong Feng, Feng Wang, Wanxiang Che:
Semantic-Guided Image Augmentation with Pre-trained Models. CoRR abs/2302.02070 (2023) - [i9]Bohan Li, Longxu Dou, Yutai Hou, Yunlong Feng, Honglin Mu, Wanxiang Che:
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. CoRR abs/2304.09402 (2023) - [i8]Yunlong Feng, Bohan Li, Libo Qin, Xiao Xu, Wanxiang Che:
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification. CoRR abs/2304.09820 (2023) - [i7]Libo Qin, Qiguang Chen, Xiao Xu, Yunlong Feng, Wanxiang Che:
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding. CoRR abs/2305.10231 (2023) - 2022
- [j22]Yunlong Feng, Qiang Wu:
A statistical learning assessment of Huber regression. J. Approx. Theory 273: 105660 (2022) - [j21]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): 6038-6043 (2022) - [j20]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): 3491-3504 (2022) - 2021
- [j19]Yunlong Feng:
New Insights Into Learning With Correntropy-Based Regression. Neural Comput. 33(1): 157-173 (2021) - [j18]Yunlong Feng, Qiang Wu:
A Framework of Learning Through Empirical Gain Maximization. Neural Comput. 33(6): 1656-1697 (2021) - [c9]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: An Open-source Neural Language Technology Platform for Chinese. EMNLP (Demos) 2021: 42-49 - 2020
- [j17]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) - [j16]Yunlong Feng, Jun Fan, Johan A. K. Suykens:
A Statistical Learning Approach to Modal Regression. J. Mach. Learn. Res. 21: 2:1-2:35 (2020) - [j15]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): 117-129 (2020) - [c8]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: 65-72 - [i6]Yunlong Feng:
New Insights into Learning with Correntropy Based Regression. CoRR abs/2006.11390 (2020) - [i5]Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu:
N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models. CoRR abs/2009.11616 (2020) - [i4]Yunlong Feng, Qiang Wu:
A Statistical Learning Assessment of Huber Regression. CoRR abs/2009.12755 (2020) - [i3]Yunlong Feng, Qiang Wu:
A Framework of Learning Through Empirical Gain Maximization. CoRR abs/2009.14250 (2020)
2010 – 2019
- 2019
- [j14]Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A. K. Suykens:
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization. J. Mach. Learn. Res. 20: 161:1-161:44 (2019) - [j13]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): 575-588 (2019) - [c7]Yunlong Feng, Hanxiang Li, Jie Xu, Huiqi Li:
Segmentaion of Parapapillary Atrophy in Retinal Images using HED. CISP-BMEI 2019: 1-5 - 2018
- [j12]Yuning Yang, Yunlong Feng, Johan A. K. Suykens:
Correntropy Based Matrix Completion. Entropy 20(3): 171 (2018) - [j11]Hanyuan Hang, Ingo Steinwart, Yunlong Feng, Johan A. K. Suykens:
Kernel Density Estimation for Dynamical Systems. J. Mach. Learn. Res. 19: 35:1-35:49 (2018) - [i2]Yunlong Feng, Yiming Ying:
Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise. CoRR abs/1803.00183 (2018) - 2017
- [c6]Zahra Karevan, Yunlong Feng, Johan A. K. Suykens:
Moving Least Squares Support Vector Machines for weather temperature prediction. ESANN 2017 - 2016
- [j10]Yunlong Feng, Shao-Gao Lv, Hanyuan Hang, Johan A. K. Suykens:
Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery. Neural Comput. 28(3): 525-562 (2016) - [j9]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): 1217-1247 (2016) - [j8]Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens:
Learning Theory Estimates with Observations from General Stationary Stochastic Processes. Neural Comput. 28(12): 2853-2889 (2016) - [j7]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): 171-196 (2016) - [j6]Yunlong Feng, Yuning Yang, Johan A. K. Suykens:
Robust Gradient Learning With Applications. IEEE Trans. Neural Networks Learn. Syst. 27(4): 822-835 (2016) - [j5]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): 1933-1946 (2016) - [c5]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: 1935-1944 - [i1]Hanyuan Hang, Yunlong Feng, Ingo Steinwart, Johan A. K. Suykens:
Learning theory estimates with observations from general stationary stochastic processes. CoRR abs/1605.02887 (2016) - 2015
- [j4]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: 993-1034 (2015) - [j3]Yuning Yang, Yunlong Feng, Johan A. K. Suykens:
A Rank-One Tensor Updating Algorithm for Tensor Completion. IEEE Signal Process. Lett. 22(10): 1633-1637 (2015) - 2014
- [b1]Yunlong Feng:
Human Interactive System for Networked Video Streaming. Graduate University for Advanced Studies, Japan, 2014 - 2013
- [j2]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): 972-975 (2013) - [j1]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): 1865-1879 (2013) - [c4]Pengfei Wan, Yunlong Feng, Gene Cheung, Ivan V. Bajic, Oscar C. Au, Yusheng Ji:
3D motion in visual saliency modeling. ICASSP 2013: 1831-1835 - 2012
- [c3]Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji:
Gaze-Driven video streaming with saliency-based dual-stream switching. VCIP 2012: 1-6 - [c2]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: 83050H - 2011
- [c1]Yunlong Feng, Gene Cheung, Wai-tian Tan, Yusheng Ji:
Hidden Markov Model for eye gaze prediction in networked video streaming. ICME 2011: 1-6
Coauthor Index
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