Search Results for author: Wei Jiang

Found 111 papers, 34 papers with code

Group Distributionally Robust Dataset Distillation with Risk Minimization

no code implementations7 Feb 2024 Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen

The most popular methods for constructing the synthetic data rely on matching the convergence properties of training the model with the synthetic dataset and the training dataset.

Federated Learning Neural Architecture Search +1

UCVC: A Unified Contextual Video Compression Framework with Joint P-frame and B-frame Coding

no code implementations2 Feb 2024 Jiayu Yang, Wei Jiang, Yongqi Zhai, Chunhui Yang, Ronggang Wang

This paper presents a learned video compression method in response to video compression track of the 6th Challenge on Learned Image Compression (CLIC), at DCC 2024. Specifically, we propose a unified contextual video compression framework (UCVC) for joint P-frame and B-frame coding.

Image Compression Video Compression

LVC-LGMC: Joint Local and Global Motion Compensation for Learned Video Compression

no code implementations1 Feb 2024 Wei Jiang, Junru Li, Kai Zhang, Li Zhang

To validate the effectiveness of our proposed LGMC, we integrate it with DCVC-TCM and obtain learned video compression with joint local and global motion compensation (LVC-LGMC).

Motion Compensation Video Compression

Tensor-based process control and monitoring for semiconductor manufacturing with unstable disturbances

no code implementations31 Jan 2024 YanRong Li, Juan Du, Fugee Tsung, Wei Jiang

This paper proposes a novel process control and monitoring method for the complex structure of high-dimensional image-based overlay errors (modeled in tensor form), which are collected in semiconductor manufacturing processes.

Challenging Low Homophily in Social Recommendation

no code implementations26 Jan 2024 Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin

To comprehensively extract preference-aware homophily information latent in the social graph, we propose Social Heterophily-alleviating Rewiring (SHaRe), a data-centric framework for enhancing existing graph-based social recommendation models.

Contrastive Learning

Graph Condensation: A Survey

no code implementations22 Jan 2024 Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin

The burgeoning volume of graph data poses significant challenges in storage, transmission, and particularly the training of graph neural networks (GNNs).

Fairness Graph Generation

KEEC: Embed to Control on An Equivariant Geometry

no code implementations4 Dec 2023 Xiaoyuan Cheng, Yiming Yang, Wei Jiang, Yukun Hu

The core idea is to establish an equivariant geometry that is diffeomorphic to the manifold defined by a dynamical system and to perform optimal control within this corresponding geometry, which is a non-trivial task.

Representation Learning

Efficient Dataset Distillation via Minimax Diffusion

1 code implementation27 Nov 2023 Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen

Observing that key factors for constructing an effective surrogate dataset are representativeness and diversity, we design additional minimax criteria in the generative training to enhance these facets for the generated images of diffusion models.

Fast Controllable Diffusion Models for Undersampled MRI Reconstruction

1 code implementation20 Nov 2023 Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun

Supervised deep learning methods have shown promise in undersampled Magnetic Resonance Imaging (MRI) reconstruction, but their requirement for paired data limits their generalizability to the diverse MRI acquisition parameters.

MRI Reconstruction

Discretized Distributed Optimization over Dynamic Digraphs

no code implementations14 Nov 2023 Mohammadreza Doostmohammadian, Wei Jiang, Muwahida Liaquat, Alireza Aghasi, Houman Zarrabi

This work, particularly, is an improvement over existing stochastic-weight undirected networks in case of link removal or packet drops.

Distributed Optimization

VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search

no code implementations13 Nov 2023 Shuting He, Hao Luo, Wei Jiang, Xudong Jiang, Henghui Ding

With the help of relational knowledge transfer, VGKT is capable of aligning semantic-group textual features with corresponding visual features without external tools and complex pairwise interaction.

Person Search Text based Person Retrieval +2

DREAM+: Efficient Dataset Distillation by Bidirectional Representative Matching

1 code implementation23 Oct 2023 Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Kaipeng Zhang, Wei Jiang, Yang You

Dataset distillation plays a crucial role in creating compact datasets with similar training performance compared with original large-scale ones.

Transfer Learning

Neural Image Compression Using Masked Sparse Visual Representation

no code implementations20 Sep 2023 Wei Jiang, Wei Wang, Yue Chen

A set of semantic-class-dependent basis codebooks are learned, which are weighted combined to generate a rich latent feature for high-quality reconstruction.

Image Compression

MFRL-BI: Design of a Model-free Reinforcement Learning Process Control Scheme by Using Bayesian Inference

no code implementations17 Sep 2023 YanRong Li, Juan Du, Wei Jiang

Design of process control scheme is critical for quality assurance to reduce variations in manufacturing systems.

Bayesian Inference

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty

no code implementations15 Sep 2023 Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang

Aggregating distributed energy resources in power systems significantly increases uncertainties, in particular caused by the fluctuation of renewable energy generation.

Data Augmentation energy management +2

CoCA: Fusing position embedding with Collinear Constrained Attention for fine-tuning free context window extending

1 code implementation15 Sep 2023 Shiyi Zhu, Jing Ye, Wei Jiang, Qi Zhang, Yifan Wu, Jianguo Li

We provide an efficient implementation of CoCA, and make it drop-in replacement for any existing position embedding and attention modules in Transformer based models.


Distributed Optimization via Gradient Descent with Event-Triggered Zooming over Quantized Communication

no code implementations8 Sep 2023 Apostolos I. Rikos, Wei Jiang, Themistoklis Charalambous, Karl H. Johansson

Distributed methods in which nodes use quantized communication yield a solution at the proximity of the optimal solution, hence reaching an error floor that depends on the quantization level used; the finer the quantization the lower the error floor.

Distributed Optimization Quantization

Region Generation and Assessment Network for Occluded Person Re-Identification

no code implementations7 Sep 2023 Shuting He, Weihua Chen, Kai Wang, Hao Luo, Fan Wang, Wei Jiang, Henghui Ding

Then, to measure the importance of each generated region, we introduce a Region Assessment Module (RAM) that assigns confidence scores to different regions and reduces the negative impact of the occlusion regions by lower scores.

Person Re-Identification

Exploring the Physical World Adversarial Robustness of Vehicle Detection

no code implementations7 Aug 2023 Wei Jiang, Tianyuan Zhang, Shuangcheng Liu, Weiyu Ji, Zichao Zhang, Gang Xiao

Through this pipeline, we establish the Discrete and Continuous Instant-level (DCI) dataset, enabling comprehensive experiments involving three detection models and three physical adversarial attacks.

Adversarial Attack Adversarial Robustness

Continual Learning in Predictive Autoscaling

no code implementations29 Jul 2023 Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou

In order to surmount this challenge and effectively integrate new sample distribution, we propose a density-based sample selection strategy that utilizes kernel density estimation to calculate sample density as a reference to compute sample weight, and employs weight sampling to construct a new memory set.

Continual Learning Density Estimation

MLIC++: Linear Complexity Attention-based Multi-Reference Entropy Modeling for Learned Image Compression

1 code implementation28 Jul 2023 Wei Jiang, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang

Additionally, to capture global contexts, we propose the linear complexity attention-based global correlations capturing by leveraging the decomposition of the softmax operation.

Image Compression

Terahertz Communications and Sensing for 6G and Beyond: A Comprehensive View

no code implementations19 Jul 2023 Wei Jiang, Qiuheng Zhou, Jiguang He, Mohammad Asif Habibi, Sergiy Melnyk, Mohammed El Absi, Bin Han, Marco Di Renzo, Hans Dieter Schotten, Fa-Long Luo, Tarek S. El-Bawab, Markku Juntti, Merouane Debbah, Victor C. M. Leung

Different from earlier surveys, this paper presents a comprehensive treatment and technology survey on THz communications and sensing in terms of the advantages, applications, propagation characterization, channel modeling, measurement campaigns, antennas, transceiver devices, beamforming, networking, the integration of communications and sensing, and experimental testbeds.

Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation

1 code implementation CVPR 2023 Shuting He, Henghui Ding, Wei Jiang

The inter-class relationships of semantic-related visual features are then required to be aligned with those in semantic space, thereby transferring semantic knowledge to visual feature learning.

Instance Segmentation Panoptic Segmentation +2

Learning Unnormalized Statistical Models via Compositional Optimization

no code implementations13 Jun 2023 Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang

Learning unnormalized statistical models (e. g., energy-based models) is computationally challenging due to the complexity of handling the partition function.

Density Estimation Image Generation +1

A Versatile Multi-Agent Reinforcement Learning Benchmark for Inventory Management

1 code implementation13 Jun 2023 Xianliang Yang, Zhihao Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Jiang Bian

Multi-agent reinforcement learning (MARL) models multiple agents that interact and learn within a shared environment.

Autonomous Driving Management +2

Evolving Testing Scenario Generation Method and Intelligence Evaluation Framework for Automated Vehicles

no code implementations12 Jun 2023 Yining Ma, Wei Jiang, Lingtong Zhang, Junyi Chen, Hong Wang, Chen Lv, Xuesong Wang, Lu Xiong

Current testing scenarios typically employ predefined or scripted BVs, which inadequately reflect the complexity of human-like social behaviors in real-world driving scenarios, and also lack a systematic metric for evaluating the comprehensive intelligence of AVs.

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing

no code implementations11 Jun 2023 Asaad Alghamdi, Xinyu Duan, Wei Jiang, Zhenhai Wang, Yimeng Wu, Qingrong Xia, Zhefeng Wang, Yi Zheng, Mehdi Rezagholizadeh, Baoxing Huai, Peilun Cheng, Abbas Ghaddar

Developing monolingual large Pre-trained Language Models (PLMs) is shown to be very successful in handling different tasks in Natural Language Processing (NLP).

Few-Shot Learning

Summarizing Stream Data for Memory-Constrained Online Continual Learning

2 code implementations26 May 2023 Jianyang Gu, Kai Wang, Wei Jiang, Yang You

Through maintaining the consistency of training gradients and relationship to the past tasks, the summarized samples are more representative for the stream data compared to the original images.

Continual Learning Informativeness

Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees

no code implementations19 May 2023 Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang

Specifically, we first provide a novel dynamic regret analysis for an existing projection-free method named $\text{BOGD}_\text{IP}$, and establish an $\mathcal{O}(T^{3/4}(1+P_T))$ dynamic regret bound, where $P_T$ denotes the path-length of the comparator sequence.

HFLIC: Human Friendly Perceptual Learned Image Compression with Reinforced Transform

1 code implementation12 May 2023 Peirong Ning, Wei Jiang, Ronggang Wang

In recent years, there has been rapid development in learned image compression techniques that prioritize ratedistortion-perceptual compression, preserving fine details even at lower bit-rates.

Image Compression

LLIC: Large Receptive Field Transform Coding with Adaptive Weights for Learned Image Compression

no code implementations19 Apr 2023 Wei Jiang, Peirong Ning, Jiayu Yang, Yongqi Zhai, Feng Gao, Ronggang Wang

To demonstrate the effectiveness of proposed transform coding, we align the entropy model to compare with existing transform methods and obtain models LLIC-STF, LLIC-ELIC, LLIC-TCM.

Image Compression

MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID

1 code implementation CVPR 2023 Jianyang Gu, Kai Wang, Hao Luo, Chen Chen, Wei Jiang, Yuqiang Fang, Shanghang Zhang, Yang You, Jian Zhao

Neural Architecture Search (NAS) has been increasingly appealing to the society of object Re-Identification (ReID), for that task-specific architectures significantly improve the retrieval performance.

Image Classification Neural Architecture Search +3

DiM: Distilling Dataset into Generative Model

2 code implementations8 Mar 2023 Kai Wang, Jianyang Gu, Daquan Zhou, Zheng Zhu, Wei Jiang, Yang You

To the best of our knowledge, we are the first to achieve higher accuracy on complex architectures than simple ones, such as 75. 1\% with ResNet-18 and 72. 6\% with ConvNet-3 on ten images per class of CIFAR-10.

DREAM: Efficient Dataset Distillation by Representative Matching

2 code implementations ICCV 2023 Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You

Although there are various matching objectives, currently the strategy for selecting original images is limited to naive random sampling.

On Function-Coupled Watermarks for Deep Neural Networks

no code implementations8 Feb 2023 Xiangyu Wen, Yu Li, Wei Jiang, Qiang Xu

Various watermarking techniques are proposed to protect such intellectual properties (IPs), wherein the DNN providers implant secret information into the model so that they can later claim IP ownership by retrieving their embedded watermarks with some dedicated trigger inputs.

Image Classification

Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management

no code implementations15 Dec 2022 Yuandong Ding, Mingxiao Feng, Guozi Liu, Wei Jiang, Chuheng Zhang, Li Zhao, Lei Song, Houqiang Li, Yan Jin, Jiang Bian

In this paper, we consider the inventory management (IM) problem where we need to make replenishment decisions for a large number of stock keeping units (SKUs) to balance their supply and demand.

Management Multi-agent Reinforcement Learning +2

Distributed Optimization with Quantized Gradient Descent

no code implementations20 Nov 2022 Apostolos I. Rikos, Wei Jiang, Themistoklis Charalambous, Karl H. Johansson

For solving this distributed optimization problem, we combine a gradient descent method with a distributed quantized consensus algorithm (which requires the nodes to exchange quantized messages and converges in a finite number of steps).

Distributed Optimization

DTAC-ADMM: Delay-Tolerant Augmented Consensus ADMM-based Algorithm for Distributed Resource Allocation

no code implementations30 Aug 2022 Mohammadreza Doostmohammadian, Wei Jiang, Themistoklis Charalambous

Every node locally updates its state toward optimizing a global allocation cost function via received information of its neighbouring nodes even when the data exchange over the network is heterogeneously delayed at different links.

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution

no code implementations18 Aug 2022 Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang

KDD CUP 2022 proposes a time-series forecasting task on spatial dynamic wind power dataset, in which the participants are required to predict the future generation given the historical context factors.

Imputation Time Series +1

Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization

no code implementations18 Jul 2022 Wei Jiang, Gang Li, Yibo Wang, Lijun Zhang, Tianbao Yang

The key issue is to track and estimate a sequence of $\mathbf g(\mathbf{w})=(g_1(\mathbf{w}), \ldots, g_m(\mathbf{w}))$ across iterations, where $\mathbf g(\mathbf{w})$ has $m$ blocks and it is only allowed to probe $\mathcal{O}(1)$ blocks to attain their stochastic values and Jacobians.

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification

no code implementations12 Jul 2022 Xiao Pan, Hao Luo, Weihua Chen, Fan Wang, Hao Li, Wei Jiang, Jianming Zhang, Jianyang Gu, Peike Li

To address this issue, we propose the Ranking-based Backward Compatible Learning (RBCL), which directly optimizes the ranking metric between new features and old features.

Person Re-Identification Retrieval

FAIVConf: Face enhancement for AI-based Video Conference with Low Bit-rate

no code implementations8 Jul 2022 Zhengang Li, Sheng Lin, Shan Liu, Songnan Li, Xue Lin, Wei Wang, Wei Jiang

Recently, high-quality video conferencing with fewer transmission bits has become a very hot and challenging problem.

Face Generation Face Swapping +1

Facke: a Survey on Generative Models for Face Swapping

1 code implementation22 Jun 2022 Wei Jiang, Wentao Dong

In this work, we investigate into the performance of mainstream neural generative models on the very task of swapping faces.

Face Swapping

Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction

no code implementations CVPR 2022 Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu

The previous deep video compression approaches only use the single scale motion compensation strategy and rarely adopt the mode prediction technique from the traditional standards like H. 264/H. 265 for both motion and residual compression.

Motion Compensation Motion Estimation +1

Smoothed Online Convex Optimization Based on Discounted-Normal-Predictor

no code implementations2 May 2022 Lijun Zhang, Wei Jiang, JinFeng Yi, Tianbao Yang

In this paper, we investigate an online prediction strategy named as Discounted-Normal-Predictor (Kapralov and Panigrahy, 2010) for smoothed online convex optimization (SOCO), in which the learner needs to minimize not only the hitting cost but also the switching cost.

Towards Homogeneous Modality Learning and Multi-Granularity Information Exploration for Visible-Infrared Person Re-Identification

no code implementations11 Apr 2022 Haojie Liu, Daoxun Xia, Wei Jiang, Chao Xu

In order to mitigate the impact of large modality discrepancy existing in heterogeneous images, previous methods attempt to apply generative adversarial network (GAN) to generate the modality-consisitent data.

Generative Adversarial Network Person Re-Identification +1

NeuMan: Neural Human Radiance Field from a Single Video

1 code implementation23 Mar 2022 Wei Jiang, Kwang Moo Yi, Golnoosh Samei, Oncel Tuzel, Anurag Ranjan

Photorealistic rendering and reposing of humans is important for enabling augmented reality experiences.

Optimal Algorithms for Stochastic Multi-Level Compositional Optimization

no code implementations15 Feb 2022 Wei Jiang, Bokun Wang, Yibo Wang, Lijun Zhang, Tianbao Yang

To address these limitations, we propose a Stochastic Multi-level Variance Reduction method (SMVR), which achieves the optimal sample complexity of $\mathcal{O}\left(1 / \epsilon^{3}\right)$ to find an $\epsilon$-stationary point for non-convex objectives.

Vertical Federated Edge Learning with Distributed Integrated Sensing and Communication

no code implementations21 Jan 2022 Peixi Liu, Guangxu Zhu, Wei Jiang, Wu Luo, Jie Xu, Shuguang Cui

This letter studies a vertical federated edge learning (FEEL) system for collaborative objects/human motion recognition by exploiting the distributed integrated sensing and communication (ISAC).

LSVC: A Learning-Based Stereo Video Compression Framework

no code implementations CVPR 2022 Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu

In this work, we propose the first end-to-end optimized framework for compressing automotive stereo videos (i. e., stereo videos from autonomous driving applications) from both left and right views.

Autonomous Driving Motion Compensation +1

Fast Data-Driven Adaptation of Radar Detection via Meta-Learning

no code implementations3 Dec 2021 Wei Jiang, Alexander M. Haimovich, Mark Govoni, Timothy Garner, Osvaldo Simeone

One approach is based on transfer learning: it first pre-trains a detector such that it works well on data collected in previously observed environments, and then it adapts the pre-trained detector to the specific current environment.

Meta-Learning Transfer Learning

Online Meta Adaptation for Variable-Rate Learned Image Compression

no code implementations16 Nov 2021 Wei Jiang, Wei Wang, Songnan Li, Shan Liu

This work addresses two major issues of end-to-end learned image compression (LIC) based on deep neural networks: variable-rate learning where separate networks are required to generate compressed images with varying qualities, and the train-test mismatch between differentiable approximate quantization and true hard quantization.

Image Compression Meta-Learning +1

A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth

no code implementations22 Oct 2021 YanRong Li, Lai Wei, Wei Jiang

This paper proposes a two-stage pricing strategy for nondurable (such as typical electronics) products, where retail price is cut down at certain time points of the product lifecycle.

Machine learning based iterative learning control for non-repetitive time-varying systems

no code implementations1 Jul 2021 Yiyang Chen, Wei Jiang, Themistoklis Charalambous

A machine learning (ML) based nominal model update mechanism, which utilizes the linear regression technique to update the nominal model at each ILC trial only using the current trial information, is proposed for non-repetitive TVSs in order to enhance the ILC performance.

BIG-bench Machine Learning regression

Efficient Micro-Structured Weight Unification and Pruning for Neural Network Compression

no code implementations15 Jun 2021 Sheng Lin, Wei Jiang, Wei Wang, Kaidi Xu, Yanzhi Wang, Shan Liu, Songnan Li

Compressing Deep Neural Network (DNN) models to alleviate the storage and computation requirements is essential for practical applications, especially for resource limited devices.

Neural Network Compression

Substitutional Neural Image Compression

no code implementations16 May 2021 Xiao Wang, Wei Jiang, Wei Wang, Shan Liu, Brian Kulis, Peter Chin

The key idea is to replace the image to be compressed with a substitutional one that outperforms the original one in a desired way.

Image Compression

Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs

no code implementations3 May 2021 Wei Jiang, Kun Liu, Themistoklis Charalambous

First, for all agents whose state matrix has no eigenvalues with positive real parts, a communication-delay-related observer, which is used to construct the controller, is designed for followers to estimate the leader's state information.

An Iteratively Reweighted Method for Sparse Optimization on Nonconvex $\ell_{p}$ Ball

no code implementations7 Apr 2021 Hao Wang, Xiangyu Yang, Wei Jiang

Specifically, if the current iterate is in the interior of the feasible set, then the weighted $\ell_{1}$ ball is formed by linearizing the $\ell_{p}$ norm at the current iterate.

COTR: Correspondence Transformer for Matching Across Images

1 code implementation ICCV 2021 Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi

We propose a novel framework for finding correspondences in images based on a deep neural network that, given two images and a query point in one of them, finds its correspondence in the other.

Dense Pixel Correspondence Estimation Optical Flow Estimation

Revisiting Smoothed Online Learning

no code implementations NeurIPS 2021 Lijun Zhang, Wei Jiang, Shiyin Lu, Tianbao Yang

Moreover, when the hitting cost is both convex and $\lambda$-quadratic growth, we reduce the competitive ratio to $1 + \frac{2}{\sqrt{\lambda}}$ by minimizing the weighted sum of the hitting cost and the switching cost.

Predictive Relay Selection: A Cooperative Diversity Scheme Using Deep Learning

no code implementations5 Feb 2021 Wei Jiang, Hans Dieter Schotten

In this paper, we propose a novel cooperative multi-relay transmission scheme for mobile terminals to exploit spatial diversity.

Information Theory Signal Processing Information Theory

A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

no code implementations5 Feb 2021 Wei Jiang, Hans Dieter Schotten

Opportunistic relay selection (ORS) has been recognized as a simple but efficient method for mobile nodes to achieve cooperative diversity in slow fading channels.

The Road Towards 6G: A Comprehensive Survey

no code implementations2 Feb 2021 Wei Jiang, Bin Han, Mohammad Asif Habibi, Hans Dieter Schotten

As of today, the fifth generation (5G) mobile communication system has been rolled out in many countries and the number of 5G subscribers already reaches a very large scale.

Implementation of OpenAirInterface-based real-world channel measurement for evaluating wireless transmission algorithms

no code implementations11 Jan 2021 Qiuheng Zhou, Wei Jiang

The results from the measurement are then trained and tested on the channel prediction algorithm.

An Abstracted Survey on 6G: Drivers, Requirements, Efforts, and Enablers

no code implementations4 Jan 2021 Bin Han, Wei Jiang, Mohammad Asif Habibi, Hans D. Schotten

As of today, 5G mobile systems have been already widely rolled out, it is the right time for academia and industry to explore the next generation mobile communication system beyond 5G.

Networking and Internet Architecture

1st Place Solution to VisDA-2020: Bias Elimination for Domain Adaptive Pedestrian Re-identification

1 code implementation25 Dec 2020 Jianyang Gu, Hao Luo, Weihua Chen, Yiqi Jiang, Yuqi Zhang, Shuting He, Fan Wang, Hao Li, Wei Jiang

Considering the large gap between the source domain and target domain, we focused on solving two biases that influenced the performance on domain adaptive pedestrian Re-ID and proposed a two-stage training procedure.

Domain Adaptation Pseudo Label

A pipeline for fair comparison of graph neural networks in node classification tasks

1 code implementation19 Dec 2020 Wentao Zhao, Dalin Zhou, Xinguo Qiu, Wei Jiang

We introduce a standard, reproducible benchmark to which the same training settings can be applied for node classification.

Data Augmentation General Classification +1

DeRF: Decomposed Radiance Fields

no code implementations CVPR 2021 Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi

Moreover, we show that a Voronoi spatial decomposition is preferable for this purpose, as it is provably compatible with the Painter's Algorithm for efficient and GPU-friendly rendering.

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

1 code implementation ECCV 2020 Jianan Zhen, Qi Fang, Jiaming Sun, Wentao Liu, Wei Jiang, Hujun Bao, Xiaowei Zhou

Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view.

2D Pose Estimation 3D Depth Estimation +3

ArchNet: Data Hiding Model in Distributed Machine Learning System

no code implementations23 Apr 2020 Kaiyan Chang, Wei Jiang, Jinyu Zhan, Zicheng Gong, Weijia Pan

Specifically, our design can improve the accuracy on MNIST up to 97. 26% compared with RC4. The accuracies on the datasets encrypted by ArchNet are 97. 26%, 84. 15% and 79. 80%, and they are 97. 31%, 82. 31% and 80. 22% on the original datasets, which shows that the encrypted accuracy of ArchNet has the same performance as the base model.

BIG-bench Machine Learning Cloud Computing +1

Survey of Privacy-Preserving Collaborative Filtering

no code implementations18 Mar 2020 Islam Elnabarawy, Wei Jiang, Donald C. Wunsch II

Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests.

Collaborative Filtering Privacy Preserving +1

Improving Uyghur ASR systems with decoders using morpheme-based language models

no code implementations3 Mar 2020 Zicheng Qiu, Wei Jiang, Turghunjan Mamut

The experimental results show that the decoding based on the static and fully composed graph reduces state-of-the-art Word Error Rate (WER) on the clean and noiseless speech test task in THUYG-20 to 14. 24%.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification

no code implementations29 Feb 2020 Xing Fan, Hao Luo, Chi Zhang, Wei Jiang

Another challenge of RGB-infrared ReID is that the intra-person (images from the same person) discrepancy is often larger than the inter-person (images from different persons) discrepancy, so a dual-subspace pairing strategy is proposed to alleviate this problem.

Cross-Modality Person Re-identification Image Generation +1

End-to-end Learning of Waveform Generation and Detection for Radar Systems

no code implementations2 Dec 2019 Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone

An end-to-end learning approach is proposed for the joint design of transmitted waveform and detector in a radar system.

Signal Processing

Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification

no code implementations12 Oct 2019 Jingjing Qian, Wei Jiang, Hao Luo, Hongyan Yu

Vehicle re-identification (Re-ID) has been attracting increasing interest in the field of computer vision due to the growing utilization of surveillance cameras in public security.

Attribute Vehicle Re-Identification

Optimizing Through Learned Errors for Accurate Sports Field Registration

1 code implementation17 Sep 2019 Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles, Weiwei Sun, Mehrsan Javan, Kwang Moo Yi

We propose an optimization-based framework to register sports field templates onto broadcast videos.

Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values

2 code implementations14 Sep 2019 Wei Jiang, Malgorzata Bogdan, Julie Josse, Blazej Miasojedow, Veronika Rockova, Traumabase group

We consider the problem of variable selection in high-dimensional settings with missing observations among the covariates.

Methodology Applications Computation

Analytical Derivatives for Differentiable Renderer: 3D Pose Estimation by Silhouette Consistency

no code implementations19 Jun 2019 Zaiqiang Wu, Wei Jiang

The experimental results also show that the proposed differentiable renderer is of higher accuracy and efficiency compared with previous method of differentiable renderer.

3D Pose Estimation 3D Reconstruction

HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing

no code implementations SEMEVAL 2019 Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang

The key idea is to convert a UCCA semantic graph into a constituent tree, in which extra labels are deliberately designed to mark remote edges and discontinuous nodes for future recovery.

General Classification Multi-Task Learning +1

ShopSign: a Diverse Scene Text Dataset of Chinese Shop Signs in Street Views

2 code implementations25 Mar 2019 Chongsheng Zhang, Guowen Peng, Yuefeng Tao, Feifei Fu, Wei Jiang, George Almpanidis, Ke Chen

Hence, we collect and annotate the ShopSign dataset to advance research in Chinese scene text detection and recognition.

Scene Text Detection Text Detection

STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification

no code implementations17 Mar 2019 Hao Luo, Xing Fan, Chi Zhang, Wei Jiang

Competition (or confrontation) is observed between the STN module and the ReID module, and two-stage training is applied to acquire a strong STNReID for partial ReID.

Person Re-Identification

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

9 code implementations17 Mar 2019 Hao Luo, Youzhi Gu, Xingyu Liao, Shenqi Lai, Wei Jiang

In the literature, some effective training tricks are briefly appeared in several papers or source codes.

Person Re-Identification

An End-to-End Network for Panoptic Segmentation

no code implementations CVPR 2019 Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang

Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.

Panoptic Segmentation Segmentation

HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing

no code implementations11 Mar 2019 Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang

The key idea is to convert a UCCA semantic graph into a constituent tree, in which extra labels are deliberately designed to mark remote edges and discontinuous nodes for future recovery.

General Classification UCCA Parsing

Improve Object Detection by Data Enhancement based on Generative Adversarial Nets

no code implementations5 Mar 2019 Wei Jiang, Na Ying

The accuracy of the object detection model depends on whether the anchor boxes effectively trained.

Object object-detection +2

A Novel Self-Intersection Penalty Term for Statistical Body Shape Models and Its Applications in 3D Pose Estimation

no code implementations24 Jan 2019 Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng

To calculate the partial derivatives with respect to the coordinates of the vertices, we employed detection rays to divide vertices of statistical body shape models into different groups depending on whether the vertex is in the region of self-intersection.

3D Pose Estimation 3D Reconstruction

SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification

no code implementations16 Oct 2018 Xing Fan, Hao Luo, Xuan Zhang, Lingxiao He, Chi Zhang, Wei Jiang

Holistic person re-identification (ReID) has received extensive study in the past few years and achieves impressive progress.

Person Re-Identification

Distributing and Obfuscating Firewalls via Oblivious Bloom Filter Evaluation

no code implementations3 Oct 2018 Ken Goss, Wei Jiang

In this paper, we develop an innovative distributed architecture to obliviously manage and evaluate firewalls to prevent both insider and external attacks oriented to the firewalls.

Cryptography and Security

SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

2 code implementations2 Jul 2018 Xing Fan, Wei Jiang, Hao Luo, Mengjuan Fei

In this paper, we use a modified softmax function, termed Sphere Softmax, to solve the classification problem and learn a hypersphere manifold embedding simultaneously.

Person Re-Identification Re-Ranking

DFNet: Semantic Segmentation on Panoramic Images with Dynamic Loss Weights and Residual Fusion Block

no code implementations11 Jun 2018 Wei Jiang, Yan Wu

We propose the DFNet and make two main contributions, one is dynamic loss weights, and the other is residual fusion block (RFB).

Semantic Segmentation

Stochastic Approximation EM for Logistic Regression with Missing Values

1 code implementation11 May 2018 Wei Jiang, Julie Josse, Marc Lavielle, Traumabase group

We propose a complete approach, including the estimation of parameters and their variance, derivation of confidence intervals, a model selection procedure, and a method for prediction on test sets with missing values.


VH-HFCN based Parking Slot and Lane Markings Segmentation on Panoramic Surround View

no code implementations19 Apr 2018 Yan Wu, Tao Yang, Junqiao Zhao, Linting Guan, Wei Jiang

At the same time, we proposed a highly fused convolutional network (HFCN) based segmentation method for parking slot and lane markings based on the PSV dataset.


AlignedReID: Surpassing Human-Level Performance in Person Re-Identification

14 code implementations22 Nov 2017 Xuan Zhang, Hao Luo, Xing Fan, Weilai Xiang, Yixiao Sun, Qiqi Xiao, Wei Jiang, Chi Zhang, Jian Sun

In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features.

Person Re-Identification

A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets

no code implementations11 May 2017 Thangarajah Akilan, Q. M. Jonathan Wu, Wei Jiang

Following the rapidly growing digital image usage, automatic image categorization has become preeminent research area.

Action Classification Classification +4

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