Search Results for author: Meng Zhou

Found 19 papers, 16 papers with code

An Attention-based Multi-Scale Feature Learning Network for Multimodal Medical Image Fusion

1 code implementation9 Dec 2022 Meng Zhou, Xiaolan Xu, Yuxuan Zhang

Furthermore, we propose a novel fixed fusion strategy termed Softmax-based weighted strategy based on the Softmax weights and matrix nuclear norm.

From Clozing to Comprehending: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader

1 code implementation9 Dec 2022 Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing

We present Pre-trained Machine Reader (PMR), a novel method for retrofitting pre-trained masked language models (MLMs) to pre-trained machine reading comprehension (MRC) models without acquiring labeled data.

Classification Extractive Question-Answering +6

Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs

1 code implementation4 May 2022 Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Quanshi Zhang

Based on the proposed metrics, we analyze two typical phenomena of the change of the transformation complexity during the training process, and explore the ceiling of a DNN's complexity.

Adversarial Robustness Disentanglement

Truncated LinUCB for Stochastic Linear Bandits

1 code implementation23 Feb 2022 Yanglei Song, Meng Zhou

This paper considers contextual bandits with a finite number of arms, where the contexts are independent and identically distributed $d$-dimensional random vectors, and the expected rewards are linear in both the arm parameters and contexts.

Multi-Armed Bandits

Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic Algorithm

1 code implementation14 Dec 2021 Meng Zhou

In the past few years, deep learning has proven to be one of the most powerful methods in the field of image classification.

Hyperparameter Optimization Image Classification

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness

1 code implementation NeurIPS 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation5 Nov 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, \emph{i. e.} the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer

1 code implementation15 Apr 2021 Meng Zhou, Shanglin Mo

In this paper, we will demonstrate different methods for classifying the manufacturer of a shoulder implant.

Classification General Classification

A Unified Game-Theoretic Interpretation of Adversarial Robustness

1 code implementation12 Mar 2021 Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Yiting Chen, Xu Cheng, Xin Wang, Meng Zhou, Jie Shi, Quanshi Zhang

This paper provides a unified view to explain different adversarial attacks and defense methods, i. e. the view of multi-order interactions between input variables of DNNs.

Adversarial Robustness

Self-supervised Regularization for Text Classification

1 code implementation9 Mar 2021 Meng Zhou, Zechen Li, Pengtao Xie

The SSL task is unsupervised, which is defined purely on input texts without using any human-provided labels.

General Classification Self-Supervised Learning +2

Understanding, Analyzing, and Optimizing the Complexity of Deep Models

no code implementations1 Jan 2021 Jie Ren, Mingjie Li, Meng Zhou, Shih-Han Chan, Zexu Liu, Quanshi Zhang

Based on the proposed metrics, we analyze two typical phenomena of the change of the transformation complexity during the training process, and explore the ceiling of a DNN’s complexity.

Disentanglement

CERT: Contrastive Self-supervised Learning for Language Understanding

1 code implementation16 May 2020 Hongchao Fang, Sicheng Wang, Meng Zhou, Jiayuan Ding, Pengtao Xie

We evaluate CERT on 11 natural language understanding tasks in the GLUE benchmark where CERT outperforms BERT on 7 tasks, achieves the same performance as BERT on 2 tasks, and performs worse than BERT on 2 tasks.

Natural Language Understanding Self-Supervised Learning +1

MedDialog: Two Large-scale Medical Dialogue Datasets

1 code implementation arXiv 2020 Xuehai He, Shu Chen, Zeqian Ju, Xiangyu Dong, Hongchao Fang, Sicheng Wang, Yue Yang, Jiaqi Zeng, Ruisi Zhang, Ruoyu Zhang, Meng Zhou, Penghui Zhu, Pengtao Xie

Medical dialogue systems are promising in assisting in telemedicine to increase access to healthcare services, improve the quality of patient care, and reduce medical costs.

Vocal Bursts Valence Prediction

Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

no code implementations5 Mar 2019 Ziyu Liu, Meng Zhou, Weiqing Cao, Qiang Qu, Henry Wing Fung Yeung, Vera Yuk Ying Chung

The game of Chinese Checkers is a challenging traditional board game of perfect information that differs from other traditional games in two main aspects: first, unlike Chess, all checkers remain indefinitely in the game and hence the branching factor of the search tree does not decrease as the game progresses; second, unlike Go, there are also no upper bounds on the depth of the search tree since repetitions and backward movements are allowed.

Reinforcement Learning (RL)

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