no code implementations • 17 Apr 2024 • Mary Aiyetigbo, Alexander Korte, Ethan Anderson, Reda Chalhoub, Peter Kalivas, Feng Luo, Nianyi Li
In this paper, we introduce a novel unsupervised network to denoise microscopy videos featured by image sequences captured by a fixed location microscopy camera.
no code implementations • 1 Apr 2024 • Mingqi Li, Feng Luo
Then, we prepend soft prompts to the original pre-trained language model and only update the selected parameters together with prompt-related parameters when adapting to the downstream tasks.
1 code implementation • 15 Feb 2024 • Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen
We consider the problem of multi-objective alignment of foundation models with human preferences, which is a critical step towards helpful and harmless AI systems.
no code implementations • 15 Dec 2023 • Yucong Dai, Gen Li, Feng Luo, Xiaolong Ma, Yongkai Wu
To address this, we define a fair pruning task where a sparse model is derived subject to fairness requirements.
no code implementations • 1 Nov 2023 • Jingjing Wang, Joshua Luo, Grace Yang, Allen Hong, Feng Luo
Large Language Models (LLMs), representing a significant achievement in artificial intelligence (AI) research, have demonstrated their ability in a multitude of tasks.
1 code implementation • 18 Oct 2023 • Feng Luo, Jinxi Xiang, Jun Zhang, Xiao Han, Wei Yang
To alleviate the huge computational cost required by pixel-based diffusion SR, latent-based methods utilize a feature encoder to transform the image and then implement the SR image generation in a compact latent space.
1 code implementation • 12 Jun 2023 • Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
(2) adaptive re-weighting module, which adjusts the learning weights for different types according to the training epochs and numbers of associated samples by a novel training loss.
no code implementations • 8 Jun 2023 • Fei Ding, Dan Zhang, Yin Yang, Venkat Krovi, Feng Luo
We conduct a theoretical analysis of the proposed loss and highlight how it assigns different weights to negative samples during the process of disentangling the feature representation.
no code implementations • 2 Nov 2022 • Mingqi Li, Fei Ding, Dan Zhang, Long Cheng, Hongxin Hu, Feng Luo
In this paper, we propose Multi-level Multilingual Knowledge Distillation (MMKD), a novel method for improving multilingual language models.
no code implementations • 22 Dec 2021 • Nishant Vishwamitra, Hongxin Hu, Ziming Zhao, Long Cheng, Feng Luo
We then introduce a new type of multimodal adversarial attacks called decoupling attack in MUROAN that aims to compromise multimodal models by decoupling their fused modalities.
no code implementations • 1 Sep 2021 • Sen yang, Feng Luo, Jun Zhang, Xiyue Wang
Mitotic count is the most important morphological feature of breast cancer grading.
no code implementations • 1 Jul 2021 • Rui Yang, Meng Fang, Lei Han, Yali Du, Feng Luo, Xiu Li
Replacing original goals with virtual goals generated from interaction with a trained dynamics model leads to a novel relabeling method, model-based relabeling (MBR).
no code implementations • 18 Jun 2021 • Feng Luo, Bin-Bin Gao, Jiangpeng Yan, Xiu Li
Experiments also show that our proposed method achieves competitive performance compared to existing boundary-based methods with a lightweight design and a simple pipeline.
no code implementations • 25 Feb 2021 • Rui Yang, Jiafei Lyu, Yu Yang, Jiangpeng Yan, Feng Luo, Dijun Luo, Lanqing Li, Xiu Li
Two main challenges in multi-goal reinforcement learning are sparse rewards and sample inefficiency.
1 code implementation • 1 Dec 2020 • Fei Ding, Yin Yang, Hongxin Hu, Venkat Krovi, Feng Luo
While it is important to transfer the full knowledge from teacher to student, we introduce the Multi-level Knowledge Distillation (MLKD) by effectively considering both knowledge alignment and correlation.
no code implementations • 15 Sep 2020 • Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang
We believe our method will inspire a wide-range of new algorithms for deep learning and numerical optimization.
no code implementations • 16 Jun 2020 • Jinghua Yu, Stefan Wagner, Feng Luo
In this paper, a system-oriented approach is proposed on the basis of the System-Theoretic Process Analysis (STPA).
Cryptography and Security Software Engineering Systems and Control Systems and Control
no code implementations • 13 Nov 2019 • Fei Ding, Feng Luo, Yin Yang
We enforce the encoder and the generator of GAN to form an encoder-generator pair in addition to the generator-encoder pair, which enables us to avoid the low-diversity generation and the triviality of latent features.
1 code implementation • 9 Jul 2019 • Chien-Chun Ni, Yu-Yao Lin, Feng Luo, Jie Gao
Many complex networks in the real world have community structures -- groups of well-connected nodes with important functional roles.
Social and Information Networks Physics and Society
no code implementations • ICLR 2018 • Xiang Zhang, Nishant Vishwamitra, Hongxin Hu, Feng Luo
The numbers of convolution layers and parameters are only increased linearly in Crescendo blocks.
1 code implementation • 22 Feb 2013 • Xianfeng Gu, Feng Luo, Jian Sun, S. -T. Yau
In this paper, we develop several related finite dimensional variational principles for discrete optimal transport (DOT), Minkowski type problems for convex polytopes and discrete Monge-Ampere equation (DMAE).
Geometric Topology Differential Geometry Metric Geometry 52-XX I.3.5