no code implementations • 9 Apr 2025 • Ling Team, Caizhi Tang, Chilin Fu, Chunwei Wu, Jia Guo, Jianwen Wang, Jingyu Hu, Liang Jiang, Meng Li, Peng Jiao, Pingping Liu, Shaomian Zheng, Shiwei Liang, Shuaicheng Li, YaLin Zhang, Yingting Wu, Yongkang Liu, Zhenyu Huang
This technical report presents Ring-Lite-Distill, a lightweight reasoning model derived from our open-source Mixture-of-Experts (MoE) Large Language Models (LLMs) Ling-Lite.
no code implementations • 27 Sep 2024 • Xuechen Mu, Zhenyu Huang, Kewei Li, Haotian Zhang, Xiuli Wang, Yusi Fan, Kai Zhang, Fengfeng Zhou
The Policy Module, responsible for dimensionality reduction through RL, functions as the actor, while the Representation Module for feature extraction and the Classification Module collectively serve as the critic.
no code implementations • International Journal of Computer Vision 2024 • Zhenyu Huang, Peng Hu, guocheng niu, Xinyan Xiao, Jiancheng Lv, Xi Peng
This paper studies a new learning paradigm for noisy labels, i. e., noisy correspondence (NC).
Cross-modal retrieval with noisy correspondence
Text Retrieval
+2
1 code implementation • 30 Jan 2024 • Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng
Existing video-language studies mainly focus on learning short video clips, leaving long-term temporal dependencies rarely explored due to over-high computational cost of modeling long videos.
Action Segmentation
Long Video Retrieval (Background Removed)
+2
1 code implementation • IEEE Transactions on Pattern Analysis and Machine Intelligence 2023 • Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng
On the one hand, our method only utilizes the negative information which is much less likely false compared with the positive information, thus avoiding the overfitting issue to PMPs.
Contrastive Learning
Cross-modal retrieval with noisy correspondence
+2
no code implementations • 23 Sep 2022 • Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng
Such a process will inevitably introduce mismatched pairs (i. e., noisy correspondence) due to i) the unavailable QA pairs in target documents, and ii) the domain shift during applying the QA construction model to the target domain.
1 code implementation • CVPR 2022 • Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng
To solve the TNL problem, we propose a novel method for robust VI-ReID, termed DuAlly Robust Training (DART).
1 code implementation • NeurIPS 2021 • Zhenyu Huang, guocheng niu, Xiao Liu, Wenbiao Ding, Xinyan Xiao, Hua Wu, Xi Peng
Based on this observation, we reveal and study a latent and challenging direction in cross-modal matching, named noisy correspondence, which could be regarded as a new paradigm of noisy labels.
Cross-modal retrieval with noisy correspondence
Image-text matching
+3
1 code implementation • 19 Apr 2021 • Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Ning Liu, Yongjun Wang, Fei Li
We obtain an optimal attention-guided embedding space with expanded high-level information and rich semantics, and thus outlying behaviors of the queried outlier can be better unfolded.
1 code implementation • CVPR 2021 • Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng
To solve such a less-touched problem without the help of labels, we propose simultaneously learning representation and aligning data using a noise-robust contrastive loss.
no code implementations • NeurIPS 2020 • Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, Xi Peng
To solve this practical and challenging problem, we propose a novel multi-view clustering method termed partially view-aligned clustering (PVC).
no code implementations • 11 May 2020 • Junbo Zhao, Marcos Netto, Zhenyu Huang, Samson Shenglong Yu, Antonio Gomez-Exposito, Shaobu Wang, Innocent Kamwa, Shahrokh Akhlaghi, Lamine Mili, Vladimir Terzija, A. P. Sakis Meliopoulos, Bikash Pal, Abhinav Kumar Singh, Ali Abur, Tianshu Bi, Alireza Rouhani
Power system dynamic state estimation (DSE) remains an active research area.
1 code implementation • 9 Mar 2019 • Qiuhua Huang, Renke Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang
Power system emergency control is generally regarded as the last safety net for grid security and resiliency.