Search Results for author: Xiao Zhou

Found 24 papers, 10 papers with code

Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space

1 code implementation30 May 2023 Xiaogang Peng, Hao Wen, Yikai Luo, Xiao Zhou, Keyang Yu, Yigang Wang, Zizhao Wu

To overcome this, we propose HyperVD, a novel framework that learns snippet embeddings in hyperbolic space to improve model discrimination.

Anomaly Detection In Surveillance Videos

Adaptive Sparse Pairwise Loss for Object Re-Identification

1 code implementation CVPR 2023 Xiao Zhou, Yujie Zhong, Zhen Cheng, Fan Liang, Lin Ma

To address this problem, we propose a novel loss paradigm termed Sparse Pairwise (SP) loss that only leverages few appropriate pairs for each class in a mini-batch, and empirically demonstrate that it is sufficient for the ReID tasks.

Probabilistic Bilevel Coreset Selection

no code implementations24 Jan 2023 Xiao Zhou, Renjie Pi, Weizhong Zhang, Yong Lin, Tong Zhang

The goal of coreset selection in supervised learning is to produce a weighted subset of data, so that training only on the subset achieves similar performance as training on the entire dataset.

Bilevel Optimization Continual Learning

Model Agnostic Sample Reweighting for Out-of-Distribution Learning

1 code implementation24 Jan 2023 Xiao Zhou, Yong Lin, Renjie Pi, Weizhong Zhang, Renzhe Xu, Peng Cui, Tong Zhang

The overfitting issue is addressed by considering a bilevel formulation to search for the sample reweighting, in which the generalization complexity depends on the search space of sample weights instead of the model size.

GWRBoost:A geographically weighted gradient boosting method for explainable quantification of spatially-varying relationships

no code implementations12 Dec 2022 Han Wang, Zhou Huang, Ganmin Yin, Yi Bao, Xiao Zhou, Yong Gao

The geographically weighted regression (GWR) is an essential tool for estimating the spatial variation of relationships between dependent and independent variables in geographical contexts.


Realtime Fewshot Portrait Stylization Based On Geometric Alignment

no code implementations28 Nov 2022 Xinrui Wang, Zhuoru Li, Xiao Zhou, Yusuke Iwasawa, Yutaka Matsuo

Previous learning based stylization methods suffer from the geometric and semantic gaps between portrait domain and style domain, which obstacles the style information to be correctly transferred to the portrait images, leading to poor stylization quality.

WeLM: A Well-Read Pre-trained Language Model for Chinese

no code implementations21 Sep 2022 Hui Su, Xiao Zhou, Houjin Yu, Xiaoyu Shen, YuWen Chen, Zilin Zhu, Yang Yu, Jie zhou

Large Language Models pre-trained with self-supervised learning have demonstrated impressive zero-shot generalization capabilities on a wide spectrum of tasks.

Language Modelling Self-Supervised Learning +1

UNet#: A UNet-like Redesigning Skip Connections for Medical Image Segmentation

no code implementations24 May 2022 Ledan Qian, Xiao Zhou, Yi Li, Zhongyi Hu

As an essential prerequisite for developing a medical intelligent assistant system, medical image segmentation has received extensive research and concentration from the neural network community.

Image Segmentation Instance Segmentation +2

DouFu: A Double Fusion Joint Learning Method For Driving Trajectory Representation

no code implementations5 May 2022 Han Wang, Zhou Huang, Xiao Zhou, Ganmin Yin, Yi Bao, Yi Zhang

The attention fusion module incorporates route features with movement features to create a better spatial-temporal embedding.

Representation Learning

Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic

no code implementations28 Feb 2022 Xiao Zhou, Xiaohu Zhang, Paolo Santi, Carlo Ratti

Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus.

Decision Making

Black-box Prompt Learning for Pre-trained Language Models

1 code implementation21 Jan 2022 Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang

Particularly, instead of fine-tuning the model in the cloud, we adapt PLMs by prompt learning, which efficiently optimizes only a few parameters of the discrete prompts.

text-classification Text Classification

Efficient Neural Network Training via Forward and Backward Propagation Sparsification

1 code implementation NeurIPS 2021 Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang

For the latter step, instead of using the chain rule based gradient estimators as in existing methods, we propose a variance reduced policy gradient estimator, which only requires two forward passes without backward propagation, thus achieving completely sparse training.

Efficient Neural Network

Effective Sparsification of Neural Networks with Global Sparsity Constraint

1 code implementation CVPR 2021 Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang

Weight pruning is an effective technique to reduce the model size and inference time for deep neural networks in real-world deployments.

Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB

no code implementations CVPR 2021 Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng

To reconstruct spectral signals from multi-channel observations, in particular trichromatic RGBs, has recently emerged as a promising alternative to traditional scanning-based spectral imager.

Spectral Reconstruction

Explicit Connection Distillation

no code implementations1 Jan 2021 Lujun Li, Yikai Wang, Anbang Yao, Yi Qian, Xiao Zhou, Ke He

In this paper, we present Explicit Connection Distillation (ECD), a new KD framework, which addresses the knowledge distillation problem in a novel perspective of bridging dense intermediate feature connections between a student network and its corresponding teacher generated automatically in the training, achieving knowledge transfer goal via direct cross-network layer-to-layer gradients propagation, without need to define complex distillation losses and assume a pre-trained teacher model to be available.

Image Classification Knowledge Distillation +1

Effective Training of Sparse Neural Networks under Global Sparsity Constraint

no code implementations1 Jan 2021 Xiao Zhou, Weizhong Zhang, Tong Zhang

An appealing feature of ProbMask is that the amounts of weight redundancy can be learned automatically via our constraint and thus we avoid the problem of tuning pruning rates individually for different layers in a network.

Diversifying Dialogue Generation with Non-Conversational Text

1 code implementation ACL 2020 Hui Su, Xiaoyu Shen, Sanqiang Zhao, Xiao Zhou, Pengwei Hu, Randy Zhong, Cheng Niu, Jie zhou

Neural network-based sequence-to-sequence (seq2seq) models strongly suffer from the low-diversity problem when it comes to open-domain dialogue generation.

Dialogue Generation Translation

A Study of Pyramid Structure for Code Correction

no code implementations28 Jan 2020 Shan Huang, Xiao Zhou, Sang Chin

We demonstrate the implementations of pyramid encoders in both multi-layer GRU and Transformer for seq2seq tasks.

Software Engineering

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

no code implementations24 Jun 2019 Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie

The success of recommender systems in modern online platforms is inseparable from the accurate capture of users' personal tastes.

Metric Learning Recommendation Systems +1

Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

2 code implementations19 May 2019 Xiao Zhou, Cecilia Mascolo, Zhongxiang Zhao

Point-of-Interest (POI) recommender systems play a vital role in people's lives by recommending unexplored POIs to users and have drawn extensive attention from both academia and industry.

Sequential Recommendation

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning

no code implementations14 Jun 2018 Xiao Zhou, Anastasios Noulas, Cecilia Mascoloo, Zhongxiang Zhao

Cultural activity is an inherent aspect of urban life and the success of a modern city is largely determined by its capacity to offer generous cultural entertainment to its citizens.

Heuristic Search for Structural Constraints in Data Association

no code implementations8 Nov 2017 Xiao Zhou, Peilin Jiang, Fei Wang

In this paper, we propose a new heuristic method to search for structural constraints (HSSC) of multiple targets when solving the problem of online multi-object tracking.

Multi-Object Tracking Online Multi-Object Tracking

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