Search Results for author: Jie Chen

Found 285 papers, 102 papers with code

Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

no code implementations12 Feb 2024 Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konaković Luković

In this paper, we observe that in such scenarios optimal solution typically lies on the boundary between feasible and infeasible regions of the design space, making it considerably more difficult than that with interior optima.

Bayesian Optimization Gaussian Processes

Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning

no code implementations23 Jan 2024 Hao Yang, Hua Mao, Wai Lok Woo, Jie Chen, Xi Peng

Furthermore, the representation process for clustering is enhanced through spectral clustering, and the consistency across multiple views is improved.

Clustering Contrastive Learning +2

Structured Code Representations Enable Data-Efficient Adaptation of Code Language Models

no code implementations19 Jan 2024 Mayank Agarwal, Yikang Shen, Bailin Wang, Yoon Kim, Jie Chen

In this work, we explore data-efficient adaptation of pre-trained code models by further pre-training and fine-tuning them with program structures.

Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation

1 code implementation18 Jan 2024 Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen

To mold instance queries to follow Brownian bridge and accomplish alignment with class texts, we design Bridge-Text Alignment (BTA) to learn discriminative bridge-level representations of instances via contrastive objectives.

Instance Segmentation Semantic Segmentation +1

Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework

no code implementations18 Jan 2024 Junkun Jiang, Jie Chen

However, there is still ample room for improvement as these methods often overlook the exploration of correlation between the 2D and 3D joint-level features.

Graph Attention Monocular 3D Human Pose Estimation

The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language Models

1 code implementation6 Jan 2024 Junyi Li, Jie Chen, Ruiyang Ren, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen

To tackle the LLM hallucination, three key questions should be well studied: how to detect hallucinations (detection), why do LLMs hallucinate (source), and what can be done to mitigate them (mitigation).


MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling

1 code implementation27 Dec 2023 Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen

This complexity is particularly evident in molecular mixtures, a frequently explored space for materials such as battery electrolytes.

mixture property prediction molecular representation

Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation

no code implementations26 Dec 2023 Xingxing Yang, Jie Chen, Zaifeng Yang

To address these challenges, we propose to colorize NIR images via a multi-scale progressive feature embedding network (MPFNet), with the guidance of grayscale image colorization.

Colorization Image Colorization +1

Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues

1 code implementation18 Dec 2023 Xingxing Yang, Jie Chen, Zaifeng Yang

Existing learning-based hyperspectral reconstruction methods show limitations in fully exploiting the information among the hyperspectral bands.

Image Reconstruction

Distributed Speech Dereverberation Using Weighted Prediction Error

no code implementations5 Dec 2023 Ziye Yang, Mengfei Zhang, Jie Chen

However, in scenarios where microphone nodes are dispersed, the centralized approach of the WPE method requires aggregating all observations for inverse filtering, resulting in a significant computational burden.

Speech Dereverberation

Cross-View Graph Consistency Learning for Invariant Graph Representations

no code implementations20 Nov 2023 Jie Chen, Zhiming Li, Hua Mao, Wai Lok Woo, Xi Peng

In this paper, we propose a cross-view graph consistency learning (CGCL) method that learns invariant graph representations for link prediction.

Attribute Data Augmentation +2

Robust Control of Unknown Switched Linear Systems from Noisy Data

no code implementations19 Nov 2023 Wenjie Liu, Yifei Li, Jian Sun, Gang Wang, Jie Chen

This paper investigates the problem of data-driven stabilization for linear discrete-time switched systems with unknown switching dynamics.

Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated Explanations

1 code implementation13 Nov 2023 Zilu Tang, Mayank Agarwal, Alex Shypula, Bailin Wang, Derry Wijaya, Jie Chen, Yoon Kim

This work explores the use of self-generated natural language explanations as an intermediate step for code-to-code translation with language models.

Code Translation Translation

Generative Face Video Coding Techniques and Standardization Efforts: A Review

1 code implementation5 Nov 2023 Bolin Chen, Jie Chen, Shiqi Wang, Yan Ye

Generative Face Video Coding (GFVC) techniques can exploit the compact representation of facial priors and the strong inference capability of deep generative models, achieving high-quality face video communication in ultra-low bandwidth scenarios.

Self-triggered Consensus Control of Multi-agent Systems from Data

no code implementations19 Oct 2023 Yifei Li, Xin Wang, Jian Sun, Gang Wang, Jie Chen

In the presence of external disturbances, a model-based STC scheme is put forth for $\mathcal{H}_{\infty}$-consensus of MASs, serving as a baseline for the data-driven STC.

Changes-Aware Transformer: Learning Generalized Changes Representation

no code implementations24 Sep 2023 Dan Wang, Licheng Jiao, Jie Chen, Shuyuan Yang, Fang Liu

After refinement, the changed pixels in the difference feature space are closer to each other, which facilitates change detection.

Change Detection

Towards Real-World Burst Image Super-Resolution: Benchmark and Method

1 code implementation ICCV 2023 Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin

Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especially in realistic scenarios.

Burst Image Super-Resolution

Monotone Tree-Based GAMI Models by Adapting XGBoost

no code implementations5 Sep 2023 Linwei Hu, Soroush Aramideh, Jie Chen, Vijayan N. Nair

It is straightforward to fit a monotone model to $f(x)$ using the options in XGBoost.

Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction

1 code implementation4 Sep 2023 Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik

Still, these techniques are faced with a common challenge in practice: Labeled data are limited by the cost of manual extraction from literature and laborious experimentation.

Drug Discovery Molecular Property Prediction +1

Improving Mandarin Prosodic Structure Prediction with Multi-level Contextual Information

no code implementations31 Aug 2023 Jie Chen, Changhe Song, Deyi Tuo, Xixin Wu, Shiyin Kang, Zhiyong Wu, Helen Meng

For text-to-speech (TTS) synthesis, prosodic structure prediction (PSP) plays an important role in producing natural and intelligible speech.

Multi-Task Learning

Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation

no code implementations7 Aug 2023 Xingxing Yang, Jie Chen, Zaifeng Yang

To address these challenges, we propose a cooperative learning paradigm that colorizes NIR images in parallel with another proxy grayscale colorization task by exploring latent cross-domain priors (i. e., latent spectrum context priors and task domain priors), dubbed CoColor.

Colorization Translation

Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface

no code implementations7 Aug 2023 Ruiqi Zhang, Jie Chen, Qiang Wang

This paper proposes a technique for efficiently modeling dynamic humans by explicifying the implicit neural fields via a Neural Explicit Surface (NES).

Computational Efficiency

Data-driven Polytopic Output Synchronization of Heterogeneous Multi-agent Systems from Noisy Data

no code implementations14 Jul 2023 Yifei Li, Wenjie Liu, Jian Sun, Gang Wang, Lihua Xie, Jie Chen

This method utilizes measured data and a noise-matrix polytope to ensure near-optimal output synchronization.

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency

no code implementations7 Jul 2023 Shuaikai Shi, Lijun Zhang, Yoann Altmann, Jie Chen

In this paper, we propose an unsupervised HSI and MSI fusion model based on the cycle consistency, called CycFusion.

Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model

1 code implementation7 Jul 2023 Shuaikai Shi, Lijun Zhang, Jie Chen

Specifically, the DDPM-Fus contains the forward diffusion process which gradually adds Gaussian noise to the high spatial resolution HSI (HrHSI) and another reverse denoising process which learns to predict the desired HrHSI from its noisy version conditioning on the corresponding high spatial resolution MSI (HrMSI) and low spatial resolution HSI (LrHSI).


Real-time Workload Pattern Analysis for Large-scale Cloud Databases

no code implementations5 Jul 2023 Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao

This has led to the increasing volume of database workloads, which provides the opportunity for pattern analysis.

AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

no code implementations1 Jul 2023 Min Zhao, Jie Chen, Nicolas Dobigeon

In this way, both the characteristics of the deep autoencoder based unmixing methods and priors provided by denoisers are merged into our well-designed framework to enhance the unmixing performance.

Denoising Hyperspectral Unmixing

Guided Deep Generative Model-based Spatial Regularization for Multiband Imaging Inverse Problems

no code implementations29 Jun 2023 Min Zhao, Nicolas Dobigeon, Jie Chen

More precisely, the regularization is conceived as a deep generative network able to encode spatial semantic features contained in this auxiliary image of high spatial resolution.

Image Inpainting

A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening

1 code implementation15 Jun 2023 Yifan Chen, Rentian Yao, Yun Yang, Jie Chen

The study includes a set of experiments to support the theory and method, including approximating the GW distance, preserving the graph spectrum, classifying graphs using spectral information, and performing regression using graph convolutional networks.

Graph Classification regression

Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs

1 code implementation2 Jun 2023 Tengfei Ma, Trong Nghia Hoang, Jie Chen

Second, we need to learn a consensus graph that captures the high-order interactions between local feature spaces and how to combine them to achieve a better prediction.

Federated Learning Time Series

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning

1 code implementation CVPR 2023 Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen

We argue that an overlooked problem of robust SSL is its corrupted information on semantic level, practically limiting the development of the field.

GC-Flow: A Graph-Based Flow Network for Effective Clustering

1 code implementation26 May 2023 Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen

Graph convolutional networks (GCNs) are \emph{discriminative models} that directly model the class posterior $p(y|\mathbf{x})$ for semi-supervised classification of graph data.

Clustering Representation Learning

Interpretable Machine Learning based on Functional ANOVA Framework: Algorithms and Comparisons

no code implementations25 May 2023 Linwei Hu, Vijayan N. Nair, Agus Sudjianto, Aijun Zhang, Jie Chen

To understand and explain the model results, one had to rely on post hoc explainability techniques, which are known to have limitations.

Interpretable Machine Learning

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment

4 code implementations20 May 2023 Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen

In this paper, we propose the Disentangled Conceptualization and Set-to-set Alignment (DiCoSA) to simulate the conceptualizing and reasoning process of human beings.

Retrieval Video Retrieval

Coordinated Transformer with Position \& Sample-aware Central Loss for Anatomical Landmark Detection

no code implementations18 May 2023 Qikui Zhu, Yihui Bi, Danxin Wang, Xiangpeng Chu, Jie Chen, Yanqing Wang

Heatmap-based anatomical landmark detection is still facing two unresolved challenges: 1) inability to accurately evaluate the distribution of heatmap; 2) inability to effectively exploit global spatial structure information.

Position Representation Learning

TG-VQA: Ternary Game of Video Question Answering

no code implementations17 May 2023 Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

Video question answering aims at answering a question about the video content by reasoning the alignment semantics within them.

Contrastive Learning Question Answering +2

Multi-view MERA Subspace Clustering

1 code implementation16 May 2023 Zhen Long, Ce Zhu, Jie Chen, Zihan Li, Yazhou Ren, Yipeng Liu

Benefiting from multiple interactions among orthogonal/semi-orthogonal (low-rank) factors, the low-rank MERA has a strong representation power to capture the complex inter/intra-view information in the self-representation tensor.

Clustering Multi-view Subspace Clustering

Long-lead forecasts of wintertime air stagnation index in southern China using oceanic memory effects

no code implementations16 May 2023 Chenhong Zhou, Xiaorui Zhang, Meng Gao, Shanshan Liu, Yike Guo, Jie Chen

Stagnant weather condition is one of the major contributors to air pollution as it is favorable for the formation and accumulation of pollutants.


CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

1 code implementation11 May 2023 Zhen Ye, Wei Xue, Xu Tan, Jie Chen, Qifeng Liu, Yike Guo

In this paper, we propose a "Co"nsistency "Mo"del-based "Speech" synthesis method, CoMoSpeech, which achieve speech synthesis through a single diffusion sampling step while achieving high audio quality.

Denoising Singing Voice Synthesis +1

Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning

1 code implementation9 May 2023 Runqing Wang, Gang Wang, Jian Sun, Fang Deng, Jie Chen

The complex relationships between operations and machines are represented precisely and concisely, for which a dual-attention network (DAN) comprising several interconnected operation message attention blocks and machine message attention blocks is proposed.

Decision Making Job Shop Scheduling +2

Communication-Efficient Graph Neural Networks with Probabilistic Neighborhood Expansion Analysis and Caching

2 code implementations4 May 2023 Tim Kaler, Alexandros-Stavros Iliopoulos, Philip Murzynowski, Tao B. Schardl, Charles E. Leiserson, Jie Chen

To significantly reduce the communication volume without compromising prediction accuracy, we propose a policy for caching data associated with frequently accessed vertices in remote partitions.

Recommendation Systems

Learning Robust Data-based LQG Controllers from Noisy Data

no code implementations2 May 2023 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

In this work, a data-based formulation for computing the steady-state Kalman gain is proposed based on semi-definite programming (SDP) using some noise-free input-state-output data.

Dynamic Video Frame Interpolation with integrated Difficulty Pre-Assessment

no code implementations25 Apr 2023 Ban Chen, Xin Jin, Youxin Chen, Longhai Wu, Jie Chen, Jayoon Koo, Cheul-hee Hahm

Extensive experiments show that easy samples pass through fast models while difficult samples inference with heavy models, and our proposed pipeline can improve the accuracy-efficiency trade-off for VFI.

Video Frame Interpolation

Deep Multiview Clustering by Contrasting Cluster Assignments

1 code implementation ICCV 2023 Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng

Then, a cluster-level CVCL strategy is presented to explore consistent semantic label information among the multiple views in the fine-tuning stage.

Clustering Contrastive Learning +1

Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer

no code implementations13 Apr 2023 Yongquan Yang, Jie Chen, Yani Wei, Mohammad Alobaidi, Hong Bu

Precise segmentation of residual tumor in breast cancer (PSRTBC) after neoadjuvant chemotherapy is a fundamental key technique in the treatment process of breast cancer.

Weakly-supervised Learning

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

4 code implementations CVPR 2023 Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

Contrastive learning-based video-language representation learning approaches, e. g., CLIP, have achieved outstanding performance, which pursue semantic interaction upon pre-defined video-text pairs.

Contrastive Learning Question Answering +5

Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation

no code implementations ICCV 2023 Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

Interactive segmentation enables users to segment as needed by providing cues of objects, which introduces human-computer interaction for many fields, such as image editing and medical image analysis.

Interactive Segmentation

DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

4 code implementations ICCV 2023 Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen

Existing text-video retrieval solutions are, in essence, discriminant models focused on maximizing the conditional likelihood, i. e., p(candidates|query).

Retrieval Video Retrieval

GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

no code implementations16 Mar 2023 Xinwei Zhang, Mingyi Hong, Jie Chen

In this paper, we propose a model splitting method that splits a backbone GNN across the clients and the server and a communication-efficient algorithm, GLASU, to train such a model.

Federated Learning

Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders

no code implementations14 Mar 2023 Tingting Fang, Fei Zhu, Jie Chen

Current deep learning-based nonlinear unmixing focuses on the models in additive, bilinear-based formulations.

Hyperspectral Unmixing

Parallel Vertex Diffusion for Unified Visual Grounding

no code implementations13 Mar 2023 Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

An intuitive materialization of our paradigm is Parallel Vertex Diffusion (PVD) to directly set vertex coordinates as the generation target and use a diffusion model to train and infer.

Visual Grounding

Mastering Strategy Card Game (Hearthstone) with Improved Techniques

no code implementations9 Mar 2023 Changnan Xiao, Yongxin Zhang, Xuefeng Huang, Qinhan Huang, Jie Chen, Peng Sun

Strategy card game is a well-known genre that is demanding on the intelligent game-play and can be an ideal test-bench for AI.

Decision Making Test

Mastering Strategy Card Game (Legends of Code and Magic) via End-to-End Policy and Optimistic Smooth Fictitious Play

no code implementations7 Mar 2023 Wei Xi, Yongxin Zhang, Changnan Xiao, Xuefeng Huang, Shihong Deng, Haowei Liang, Jie Chen, Peng Sun

Deep Reinforcement Learning combined with Fictitious Play shows impressive results on many benchmark games, most of which are, however, single-stage.

Decision Making

A Coarse to Fine Framework for Object Detection in High Resolution Image

no code implementations2 Mar 2023 Jinyan Liu, Jie Chen

In this paper, we introduce a simple yet efficient approach that improves accuracy of object detection especially for small objects and large scale variance scene while reducing the computational cost in high resolution image.

Object object-detection +1

Self-triggered Resilient Stabilization of Linear Systems with Quantized Output

no code implementations14 Feb 2023 Wenjie Liu, Masashi Wakaiki, Jian Sun, Gang Wang, Jie Chen

If, in addition, the transmission protocols at the controller-to-actuator (C-A) and sensor-to-controller (S-C) channels can be adapted, the self-triggered control architecture can be considerably simplified, leveraging a delicate observer-based deadbeat controller to eliminate the need for running the controller in parallel at the encoder side.

Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning

1 code implementation12 Feb 2023 Zehao Niu, Mihai Anitescu, Jie Chen

Gaussian processes (GPs) are an attractive class of machine learning models because of their simplicity and flexibility as building blocks of more complex Bayesian models.

Gaussian Processes Inductive Bias

GUAP: Graph Universal Attack Through Adversarial Patching

no code implementations4 Jan 2023 Xiao Zang, Jie Chen, Bo Yuan

Graph neural networks (GNNs) are a class of effective deep learning models for node classification tasks; yet their predictive capability may be severely compromised under adversarially designed unnoticeable perturbations to the graph structure and/or node data.

Graph Attention Node Classification

High-Frequency Stereo Matching Network

no code implementations CVPR 2023 Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, Yong Zhao

In the field of binocular stereo matching, remarkable progress has been made by iterative methods like RAFT-Stereo and CREStereo.

Stereo Matching

TopoSeg: Topology-Aware Nuclear Instance Segmentation

no code implementations ICCV 2023 Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

Experiments on three nuclear instance segmentation datasets justify the superiority of TopoSeg, which achieves state-of-the-art performance.

Instance Segmentation Segmentation +1

The Devil is in the Crack Orientation: A New Perspective for Crack Detection

no code implementations ICCV 2023 Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

However, the vanilla adaptation of the existing oriented object detection methods to the crack detection tasks will result in limited performance, due to the boundary discontinuity issue and the ambiguities in sub-crack orientation.

Crack Segmentation object-detection +2

Position Embedding Needs an Independent Layer Normalization

1 code implementation10 Dec 2022 Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Yian Zhao, Jian Zhang, Guoli Song, Jie Chen

By analyzing the input and output of each encoder layer in VTs using reparameterization and visualization, we find that the default PE joining method (simply adding the PE and patch embedding together) operates the same affine transformation to token embedding and PE, which limits the expressiveness of PE and hence constrains the performance of VTs.


Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep Priors

1 code implementation28 Nov 2022 Xiuheng Wang, Jie Chen, Cédric Richard

Deconvolution is a widely used strategy to mitigate the blurring and noisy degradation of hyperspectral images~(HSI) generated by the acquisition devices.

Denoising Image Deconvolution

Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild

no code implementations25 Nov 2022 Jucai Zhai, Pengcheng Zeng, Chihao Ma, Yong Zhao, Jie Chen

The proposed method consists of a learnable blur kernel to estimate the defocus map, which is an unsupervised method, and a single-image defocus deblurring generative adversarial network (DefocusGAN) for the first time.

Deblurring Generative Adversarial Network +2

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

4 code implementations21 Nov 2022 Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

Most video-and-language representation learning approaches employ contrastive learning, e. g., CLIP, to project the video and text features into a common latent space according to the semantic similarities of text-video pairs.

Ranked #2 on Video Retrieval on LSMDC (text-to-video Mean Rank metric)

Contrastive Learning Representation Learning +5

Dual Complementary Dynamic Convolution for Image Recognition

no code implementations11 Nov 2022 Longbin Yan, Yunxiao Qin, Shumin Liu, Jie Chen

As a powerful engine, vanilla convolution has promoted huge breakthroughs in various computer tasks.

Image Classification object-detection +2

Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation

no code implementations8 Nov 2022 Jianyu Wang, Linruize Tang, Jie Chen, Jingdong Chen

Nonnegative Tucker Factorization (NTF) minimizes the euclidean distance or Kullback-Leibler divergence between the original data and its low-rank approximation which often suffers from grossly corruptions or outliers and the neglect of manifold structures of data.

A Unified Pyramid Recurrent Network for Video Frame Interpolation

1 code implementation CVPR 2023 Xin Jin, Longhai Wu, Jie Chen, Youxin Chen, Jayoon Koo, Cheul-hee Hahm

Cast in a flexible pyramid framework, UPR-Net exploits lightweight recurrent modules for both bi-directional flow estimation and intermediate frame synthesis.

Optical Flow Estimation Video Frame Interpolation

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP

1 code implementation18 Oct 2022 Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu

Then, we introduce a novel structure-mixing knowledge distillation strategy to enhance the learning ability of MLPs for structure information.

Knowledge Distillation Node Classification

ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation

no code implementations CVPR 2023 Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen

Recently, self-supervised large-scale visual pre-training models have shown great promise in representing pixel-level semantic relationships, significantly promoting the development of unsupervised dense prediction tasks, e. g., unsupervised semantic segmentation (USS).

Image Segmentation Unsupervised Semantic Segmentation

Flexible Alignment Super-Resolution Network for Multi-Contrast MRI

1 code implementation7 Oct 2022 Yiming Liu, Mengxi Zhang, Weiqin Zhang, Bo Jiang, Bo Hou, Dan Liu, Jie Chen, Heqing Lian

To tackle this problem, we propose the Flexible Alignment Super-Resolution Network (FASR-Net) for multi-contrast MRI Super-Resolution.


Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering

no code implementations21 Sep 2022 Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen

Under this setting, these 2D spatial reasoning approaches cannot distinguish the fine-grain spatial relations between visual objects and scene texts on the same image plane, thereby impairing the interpretability and performance of TextVQA models.

Image Captioning Optical Character Recognition (OCR) +2

Deep Hyperspectral and Multispectral Image Fusion with Inter-image Variability

1 code implementation24 Aug 2022 Xiuheng Wang, Ricardo Augusto Borsoi, Cédric Richard, Jie Chen

The fusion problem is stated as an optimization problem in the maximum a posteriori framework.

Data-Driven Control of Distributed Event-Triggered Network Systems

no code implementations22 Aug 2022 Xin Wang, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen

The present paper deals with data-driven event-triggered control of a class of unknown discrete-time interconnected systems (a. k. a.

Pathway to Future Symbiotic Creativity

no code implementations18 Aug 2022 Yike Guo, Qifeng Liu, Jie Chen, Wei Xue, Jie Fu, Henrik Jensen, Fernando Rosas, Jeffrey Shaw, Xing Wu, Jiji Zhang, Jianliang Xu

This report presents a comprehensive view of our vision on the development path of the human-machine symbiotic art creation.


Unsupervised domain adaptation semantic segmentation of high-resolution remote sensing imagery with invariant domain-level prototype memory

1 code implementation16 Aug 2022 Jingru Zhu, Ya Guo, Geng Sun, Libo Yang, Min Deng, Jie Chen

This study proposes a novel unsupervised domain adaptation semantic segmentation network (MemoryAdaptNet) for the semantic segmentation of HRS imagery.

Pseudo Label Pseudo Label Filtering +3

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms

no code implementations11 Aug 2022 Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang

In this paper, we present OpenMedIA, an open-source toolbox library containing a rich set of deep learning methods for medical image analysis under heterogeneous Artificial Intelligence (AI) computing platforms.

Image Classification Medical Image Classification +2

Neural Optimization Machine: A Neural Network Approach for Optimization

no code implementations8 Aug 2022 Jie Chen, Yongming Liu

The NN objective function can have arbitrary architectures and activation functions.

Multiobjective Optimization

Event-triggered Consensus Control of Heterogeneous Multi-agent Systems: Model- and Data-based Analysis

no code implementations1 Aug 2022 Xin Wang, Jian Sun, Gang Wang, Jie Chen

This article deals with model- and data-based consensus control of heterogenous leader-following multi-agent systems (MASs) under an event-triggering transmission scheme.

Locality Guidance for Improving Vision Transformers on Tiny Datasets

1 code implementation20 Jul 2022 Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen

Therefore, our locality guidance approach is very simple and efficient, and can serve as a basic performance enhancement method for VTs on tiny datasets.

NDF: Neural Deformable Fields for Dynamic Human Modelling

1 code implementation19 Jul 2022 Ruiqi Zhang, Jie Chen

However, the learned canonical representation is static and the current design of the deformation fields is not able to represent large movements or detailed geometry changes.

Data-driven Self-triggered Control via Trajectory Prediction

no code implementations18 Jul 2022 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Self-triggered control, a well-documented technique for reducing the communication overhead while ensuring desired system performance, is gaining increasing popularity.

Model Predictive Control Trajectory Prediction

A Survey of Decision Making in Adversarial Games

no code implementations16 Jul 2022 Xiuxian Li, Min Meng, Yiguang Hong, Jie Chen

Game theory has by now found numerous applications in various fields, including economics, industry, jurisprudence, and artificial intelligence, where each player only cares about its own interest in a noncooperative or cooperative manner, but without obvious malice to other players.

Decision Making Jurisprudence

A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion

1 code implementation15 Jul 2022 Junkun Jiang, Jie Chen, Yike Guo

In order to demonstrate the proposed model's capability in dealing with severe data loss scenarios, we contribute a high-accuracy and challenging motion capture dataset of multi-person interactions with severe occlusion.

Adaptive Random Fourier Features Kernel LMS

no code implementations14 Jul 2022 Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang

We propose the adaptive random Fourier features Gaussian kernel LMS (ARFF-GKLMS).

Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models

no code implementations14 Jul 2022 Linwei Hu, Jie Chen, Vijayan N. Nair

We propose a new algorithm, called GAMI-Tree, that is similar to EBM, but has a number of features that lead to better performance.

BIG-bench Machine Learning Interpretable Machine Learning

Shapley Computations Using Surrogate Model-Based Trees

no code implementations11 Jul 2022 Zhipu Zhou, Jie Chen, Linwei Hu

Shapley-related techniques have gained attention as both global and local interpretation tools because of their desirable properties.

$L_2$BN: Enhancing Batch Normalization by Equalizing the $L_2$ Norms of Features

no code implementations6 Jul 2022 Zhennan Wang, Kehan Li, Runyi Yu, Yian Zhao, Pengchong Qiao, Chang Liu, Fan Xu, Xiangyang Ji, Guoli Song, Jie Chen

In this paper, we analyze batch normalization from the perspective of discriminability and find the disadvantages ignored by previous studies: the difference in $l_2$ norms of sample features can hinder batch normalization from obtaining more distinguished inter-class features and more compact intra-class features.

Acoustic Scene Classification Image Classification +1

Bridging Mean-Field Games and Normalizing Flows with Trajectory Regularization

no code implementations30 Jun 2022 Han Huang, Jiajia Yu, Jie Chen, Rongjie Lai

In this work, we unravel the connections between MFGs and NFs by contextualizing the training of an NF as solving the MFG.

Integration of Physics-Based and Data-Driven Models for Hyperspectral Image Unmixing

1 code implementation11 Jun 2022 Jie Chen, Min Zhao, Xiuheng Wang, Cédric Richard, Susanto Rahardja

Spectral unmixing is one of the most important quantitative analysis tasks in hyperspectral data processing.

Hyperspectral Unmixing

Joint learning of object graph and relation graph for visual question answering

no code implementations9 May 2022 Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun

Modeling visual question answering(VQA) through scene graphs can significantly improve the reasoning accuracy and interpretability.

Attribute Question Answering +2

Performance and Interpretability Comparisons of Supervised Machine Learning Algorithms: An Empirical Study

no code implementations27 Apr 2022 Alice J. Liu, Arpita Mukherjee, Linwei Hu, Jie Chen, Vijayan N. Nair

Overall, XGB and FFNNs were competitive, with FFNNs showing better performance in smooth models and tree-based boosting algorithms performing better in non-smooth models.

BIG-bench Machine Learning

ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval

no code implementations CVPR 2022 Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen, Guoli Song, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Visual appearance is considered to be the most important cue to understand images for cross-modal retrieval, while sometimes the scene text appearing in images can provide valuable information to understand the visual semantics.

Ranked #10 on Cross-Modal Retrieval on Flickr30k (using extra training data)

Contrastive Learning Cross-Modal Retrieval +1

Training-free Transformer Architecture Search

1 code implementation CVPR 2022 Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

Recently, Vision Transformer (ViT) has achieved remarkable success in several computer vision tasks.

Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily

1 code implementation19 Mar 2022 Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu

Moreover, we propose a simple yet effective Conv-Agnostic GNN framework (CAGNNs) to enhance the performance of most GNNs on heterophily datasets by learning the neighbor effect for each node.

Node Classification

Data-Efficient Graph Grammar Learning for Molecular Generation

1 code implementation ICLR 2022 Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik

This is a non-trivial task for neural network-based generative models since the relevant chemical knowledge can only be extracted and generalized from the limited training data.

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

no code implementations25 Feb 2022 Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao

To deploy SSDR-AL in a more practical scenario, we design a noise-aware iterative labeling strategy to confront the "noisy annotation" problem introduced by the previous "dominant labeling" strategy in superpoints.

Active Learning Semantic Segmentation

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

4 code implementations ICLR 2022 Enyan Dai, Jie Chen

Anomaly detection is a widely studied task for a broad variety of data types; among them, multiple time series appear frequently in applications, including for example, power grids and traffic networks.

Density Estimation Time Series +2

Model-Based and Data-Driven Control of Event- and Self-Triggered Discrete-Time LTI Systems

no code implementations16 Feb 2022 Xin Wang, Julian Berberich, Jian Sun, Gang Wang, Frank Allgöwer, Jie Chen

To this end, we begin by presenting a dynamic event-triggering scheme (ETS) based on periodic sampling, and a discrete-time looped-functional approach, through which a model-based stability condition is derived.


Time-Frequency Mask Aware Bi-directional LSTM: A Deep Learning Approach for Underwater Acoustic Signal Separation

no code implementations9 Feb 2022 Jie Chen, Chang Liu, Jiawu Xie, Jie An, Nan Huang

In particular, this method breaks through the limitations of the existing methods, not only achieves good results in multivariate separation, but also effectively separates signals when mixed with 40dB Gaussian noise signals.

Temporal Sequences

Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination

1 code implementation1 Feb 2022 Jie Chen, Weiqi Liu, Jian Pu

Based on the homophily assumption, the current message passing always aggregates features of connected nodes, such as the graph Laplacian smoothing process.

Graph Representation Learning

Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion

1 code implementation24 Jan 2022 Xiuheng Wang, Jie Chen, Cédric Richard

To overcome inherent hardware limitations of hyperspectral imaging systems with respect to their spatial resolution, fusion-based hyperspectral image (HSI) super-resolution is attracting increasing attention.

Hyperspectral Image Super-Resolution Image Super-Resolution

Geometry-Aware Guided Loss for Deep Crack Recognition

no code implementations CVPR 2022 Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

Despite the substantial progress of deep models for crack recognition, due to the inconsistent cracks in varying sizes, shapes, and noisy background textures, there still lacks the discriminative power of the deeply learned features when supervised by the cross-entropy loss.

Robust Recommendation with Implicit Feedback via Eliminating the Effects of Unexpected Behaviors

1 code implementation21 Dec 2021 Jie Chen, Lifen Jiang, Chunmei Ma, Huazhi Sun

In this paper, we propose a Multi-Preferences Model (MPM) to eliminate the effects of unexpected behaviors.

Recommendation Systems

Mean-Square Stability and Stabilizability Analyses of LTI Systems Under Spatially Correlated Multiplicative Perturbations

no code implementations10 Dec 2021 Jianqi Chen, Tian Qi, Jie Chen

In this paper, we investigate the mean-square stability and stabilizability problems for linear time-invariant systems under stochastic spatially correlated multiplicative uncertainties.

Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning

no code implementations25 Nov 2021 Xiaoxiao Zhao, Jinlong Lei, Li Li, Jie Chen

This paper studies a distributed policy gradient in collaborative multi-agent reinforcement learning (MARL), where agents over a communication network aim to find the optimal policy to maximize the average of all agents' local returns.

Multi-agent Reinforcement Learning reinforcement-learning +2

Learning Representation for Clustering via Prototype Scattering and Positive Sampling

1 code implementation23 Nov 2021 Zhizhong Huang, Jie Chen, Junping Zhang, Hongming Shan

The strengths of ProPos are avoidable class collision issue, uniform representations, well-separated clusters, and within-cluster compactness.

Clustering Contrastive Learning +3

Traversing the Local Polytopes of ReLU Neural Networks

no code implementations AAAI Workshop AdvML 2022 Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto

Our polytope traversing algorithm can be adapted to a wide range of applications related to robustness and interpretability.

Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning

no code implementations20 Nov 2021 Wenpeng Xing, Jie Chen

One of the seminal image-based rendering method, the multi-plane image (MPI), produces high novel-view synthesis quality for static scenes.

Novel View Synthesis

Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification

no code implementations17 Nov 2021 Shaojie Xu, Joel Vaughan, Jie Chen, Aijun Zhang, Agus Sudjianto

Although neural networks (NNs) with ReLU activation functions have found success in a wide range of applications, their adoption in risk-sensitive settings has been limited by the concerns on robustness and interpretability.

Distributed stochastic proximal algorithm with random reshuffling for non-smooth finite-sum optimization

no code implementations6 Nov 2021 Xia Jiang, Xianlin Zeng, Jian Sun, Jie Chen, Lihua Xie

We prove that local variable estimates generated by the proposed algorithm achieve consensus and are attracted to a neighborhood of the optimal solution in expectation with an $\mathcal{O}(\frac{1}{T}+\frac{1}{\sqrt{T}})$ convergence rate, where $T$ is the total number of iterations.

Data-driven Hedging of Stock Index Options via Deep Learning

no code implementations5 Nov 2021 Jie Chen, Lingfei Li

We develop deep learning models to learn the hedge ratio for S&P500 index options directly from options data.

Data-Driven Resilient Predictive Control under Denial-of-Service

no code implementations25 Oct 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

Finally, a numerical example is given to validate the effectiveness of the proposed control method.

Model Predictive Control

Data-driven Control of Dynamic Event-triggered Systems with Delays

no code implementations25 Oct 2021 Xin Wang, Jian Sun, Julian Berberich, Gang Wang, Frank Allgöwer, Jie Chen

Data-based representations for time-invariant linear systems with known or unknown system input matrices are first developed, along with a novel class of dynamic triggering schemes for sampled-data systems with time delays.

One-Step Abductive Multi-Target Learning with Diverse Noisy Samples and Its Application to Tumour Segmentation for Breast Cancer

1 code implementation20 Oct 2021 Yongquan Yang, Fengling Li, Yani Wei, Jie Chen, Ning Chen, Hong Bu

Recent studies have demonstrated the effectiveness of the combination of machine learning and logical reasoning, including data-driven logical reasoning, knowledge driven machine learning and abductive learning, in inventing advanced artificial intelligence technologies.

BIG-bench Machine Learning Logical Reasoning

Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining

1 code implementation16 Oct 2021 Tim Kaler, Nickolas Stathas, Anne Ouyang, Alexandros-Stavros Iliopoulos, Tao B. Schardl, Charles E. Leiserson, Jie Chen

Improving the training and inference performance of graph neural networks (GNNs) is faced with a challenge uncommon in general neural networks: creating mini-batches requires a lot of computation and data movement due to the exponential growth of multi-hop graph neighborhoods along network layers.

Federated Inference through Aligning Local Representations and Learning a Consensus Graph

no code implementations29 Sep 2021 Tengfei Ma, Trong Nghia Hoang, Jie Chen

On the top is a federation of the local data representations, performing global inference that incorporates all distributed parts collectively.

Federated Learning

Deep Encryption: Protecting Pre-Trained Neural Networks with Confusion Neurons

no code implementations29 Sep 2021 Mengbiao Zhao, Shixiong Xu, Jianlong Chang, Lingxi Xie, Jie Chen, Qi Tian

Having consumed huge amounts of training data and computational resource, large-scale pre-trained models are often considered key assets of AI service providers.


Transient Performance Analysis of the $\ell_1$-RLS

no code implementations14 Sep 2021 Wei Gao, Jie Chen, Cédric Richard, Wentao Shi, Qunfei Zhang

The recursive least-squares algorithm with $\ell_1$-norm regularization ($\ell_1$-RLS) exhibits excellent performance in terms of convergence rate and steady-state error in identification of sparse systems.

Supervised Linear Dimension-Reduction Methods: Review, Extensions, and Comparisons

no code implementations9 Sep 2021 Shaojie Xu, Joel Vaughan, Jie Chen, Agus Sudjianto, Vijayan Nair

Principal component analysis (PCA) is a well-known linear dimension-reduction method that has been widely used in data analysis and modeling.

Dimensionality Reduction

On Faster Convergence of Scaled Sign Gradient Descent

no code implementations4 Sep 2021 Xiuxian Li, Kuo-Yi Lin, Li Li, Yiguang Hong, Jie Chen

For the first two cases, it can be shown that the scaled signGD converges at a linear rate.

An Information Theory-inspired Strategy for Automatic Network Pruning

1 code implementation19 Aug 2021 Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji

This practically limits the application of model compression when the model needs to be deployed on a wide range of devices.

AutoML Model Compression +1

Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues

no code implementations20 Jul 2021 Xingxing Yang, Jie Chen, Zaifeng Yang, Zhenghua Chen

Finally, a Fusion Attention Block (FAB) is proposed to adaptively fuse the features from the two branches and generate an optimized colorization result.

Colorization Generative Adversarial Network +1

Efficient proximal gradient algorithms for joint graphical lasso

no code implementations16 Jul 2021 Jie Chen, Ryosuke Shimmura, Joe Suzuki

We consider learning an undirected graphical model from sparse data.

Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration

no code implementations13 Jul 2021 Jie Chen, Zaifeng Yang, Tsz Nam Chan, Hui Li, Junhui Hou, Lap-Pui Chau

A progressive texture blending module is designed to blend the encoded two-stream features in a multi-scale and progressive manner.

Image Restoration Vocal Bursts Intensity Prediction

Graph coarsening: From scientific computing to machine learning

no code implementations22 Jun 2021 Jie Chen, Yousef Saad, Zechen Zhang

The general method of graph coarsening or graph reduction has been a remarkably useful and ubiquitous tool in scientific computing and it is now just starting to have a similar impact in machine learning.

BIG-bench Machine Learning

Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

1 code implementation CVPR 2021 Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji

In this paper, we propose a joint Modality and Pattern Alignment Network (MPANet) to discover cross-modality nuances in different patterns for visible-infrared person Re-ID, which introduces a modality alleviation module and a pattern alignment module to jointly extract discriminative features.

Person Re-Identification

Scale-Consistent Fusion: from Heterogeneous Local Sampling to Global Immersive Rendering

no code implementations17 Jun 2021 Wenpeng Xing, Jie Chen, Zaifeng Yang, Qiang Wang

Image-based geometric modeling and novel view synthesis based on sparse, large-baseline samplings are challenging but important tasks for emerging multimedia applications such as virtual reality and immersive telepresence.

Novel View Synthesis

Composition and Application of Current Advanced Driving Assistance System: A Review

no code implementations26 May 2021 Xinran Li, Kuo-Yi Lin, Min Meng, Xiuxian Li, Li Li, Yiguang Hong, Jie Chen

Due to the growing awareness of driving safety and the development of sophisticated technologies, advanced driving assistance system (ADAS) has been equipped in more and more vehicles with higher accuracy and lower price.

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

1 code implementation25 May 2021 Ruchir Puri, David S. Kung, Geert Janssen, Wei zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss

In addition to its large scale, CodeNet has a rich set of high-quality annotations to benchmark and help accelerate research in AI techniques for a variety of critical coding tasks, including code similarity and classification, code translation between a large variety of programming languages, and code performance (runtime and memory) improvement techniques.

BIG-bench Machine Learning Code Classification +1

Bias, Fairness, and Accountability with AI and ML Algorithms

no code implementations13 May 2021 Nengfeng Zhou, Zach Zhang, Vijayan N. Nair, Harsh Singhal, Jie Chen, Agus Sudjianto

In this paper, we provide an overview of bias and fairness issues that arise with the use of ML algorithms.


Unsupervised domain adaptation via double classifiers based on high confidence pseudo label

no code implementations11 May 2021 Huihuang Chen, Li Li, Jie Chen, Kuo-Yi Lin

In addition to aligning the global distribution, the real domain adaptation should also align the meso distribution and the micro distribution.

Pseudo Label Transfer Learning +1

Geometrical Characterization of Sensor Placement for Cone-Invariant and Multi-Agent Systems against Undetectable Zero-Dynamics Attacks

no code implementations10 May 2021 Jianqi Chen, Jieqiang Wei, Wei Chen, Henrik Sandberg, Karl H. Johansson, Jie Chen

Undetectable attacks are an important class of malicious attacks threatening the security of cyber-physical systems, which can modify a system's state but leave the system output measurements unaffected, and hence cannot be detected from the output.

RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection

no code implementations30 Apr 2021 Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen

Upon the frame, an Interaction Intensifier Module and a Correlation Parsing Module are carefully designed, where: a) interactive semantics from humans can be exploited and passed to objects to intensify interactions, b) interactive correlations among humans, objects and interactions are integrated to promote predictions.

Human-Object Interaction Detection Relation

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification

no code implementations28 Apr 2021 Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao

In this paper, we consider the label dependency of graph nodes and propose a decoupling attention mechanism to learn both hard and soft attention.

General Classification Graph Learning +2

Underwater Target Recognition based on Multi-Decision LOFAR Spectrum Enhancement: A Deep Learning Approach

no code implementations26 Apr 2021 Jie Chen, Jie Liu, Chang Liu, Jian Zhang, Bing Han

To overcome this issue and to further improve the recognition performance, we adopt a deep learning approach for underwater target recognition and propose a LOFAR spectrum enhancement (LSE)-based underwater target recognition scheme, which consists of preprocessing, offline training, and online testing.

Carrying out CNN Channel Pruning in a White Box

1 code implementation24 Apr 2021 Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji

Specifically, to model the contribution of each channel to differentiating categories, we develop a class-wise mask for each channel, implemented in a dynamic training manner w. r. t.

Image Classification

Image-based Virtual Fitting Room

1 code implementation8 Apr 2021 Zhiling Huang, Junwen Bu, Jie Chen

We firstly used Mask R-CNN to find the regions of different fashion items, and secondly used Neural Style Transfer to change the style of the selected fashion items.

Style Transfer

CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

1 code implementation CVPR 2021 Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou

In this paper, we argue that learning by comparing helps identify these hard snippets and we propose to utilize snippet Contrastive learning to Localize Actions, CoLA for short.

CoLA Contrastive Learning +3

Noise Injection-based Regularization for Point Cloud Processing

no code implementations28 Mar 2021 Xiao Zang, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

In this paper, we, for the first time, perform systematic investigation on noise injection-based regularization for point cloud-domain DNNs.

Data Augmentation Semantic Segmentation

Resilient Control under Quantization and Denial-of-Service: Co-designing a Deadbeat Controller and Transmission Protocol

no code implementations22 Mar 2021 Wenjie Liu, Jian Sun, Gang Wang, Francesco Bullo, Jie Chen

When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals.


Linear Iterative Feature Embedding: An Ensemble Framework for Interpretable Model

no code implementations18 Mar 2021 Agus Sudjianto, Jinwen Qiu, Miaoqi Li, Jie Chen

The LIFE algorithm is able to fit a wide single-hidden-layer neural network (NN) accurately with three steps: defining the subsets of a dataset by the linear projections of neural nodes, creating the features from multiple narrow single-hidden-layer NNs trained on the different subsets of the data, combining the features with a linear model.

Projection-based QLP Algorithm for Efficiently Computing Low-Rank Approximation of Matrices

no code implementations12 Mar 2021 Maboud F. Kaloorazi, Jie Chen

The efficiency and effectiveness of our proposed PbP-QLP algorithm are investigated through various classes of synthetic and real-world data matrices.

Towards Unbiased COVID-19 Lesion Localisation and Segmentation via Weakly Supervised Learning

1 code implementation1 Mar 2021 Yang Yang, Jiancong Chen, Ruixuan Wang, Ting Ma, Lingwei Wang, Jie Chen, Wei-Shi Zheng, Tong Zhang

Despite tremendous efforts, it is very challenging to generate a robust model to assist in the accurate quantification assessment of COVID-19 on chest CT images.

Generative Adversarial Network Weakly-supervised Learning

Performance of Domain-Wall Encoding for Quantum Annealing

no code implementations24 Feb 2021 Jie Chen, Tobias Stollenwerk, Nicholas Chancellor

In this paper we experimentally test the performance of the recently proposed domain-wall encoding of discrete variables from [Chancellor Quantum Sci.

Quantum Physics

Learning Structral coherence Via Generative Adversarial Network for Single Image Super-Resolution

1 code implementation25 Jan 2021 Yuanzhuo Li, Yunan Zheng, Jie Chen, Zhenyu Xu, Yiguang Liu

Among the major remaining challenges for single image super resolution (SISR) is the capacity to recover coherent images with global shapes and local details conforming to human vision system.

Generative Adversarial Network Image Restoration +1

Generating a Doppelganger Graph: Resembling but Distinct

1 code implementation23 Jan 2021 Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi

Deep generative models, since their inception, have become increasingly more capable of generating novel and perceptually realistic signals (e. g., images and sound waves).

Benchmarking Graph Representation Learning +1

Discrete Graph Structure Learning for Forecasting Multiple Time Series

1 code implementation ICLR 2021 Chao Shang, Jie Chen, Jinbo Bi

Exploration of the correlation and causation among the variables in a multivariate time series shows promise in enhancing the performance of a time series model.

Graph structure learning Time Series +1

Transient Theoretical Analysis of Diffusion RLS Algorithm for Cyclostationary Colored Inputs

no code implementations12 Jan 2021 Wei Gao, Jie Chen, Cédric Richard

Convergence of the diffusion RLS (DRLS) algorithm to steady-state has been extensively studied in the literature, whereas no analysis of its transient convergence behavior has been reported yet.

CDNet: Centripetal Direction Network for Nuclear Instance Segmentation

1 code implementation ICCV 2021 Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen

Specifically, we define the centripetal direction feature as a class of adjacent directions pointing to the nuclear center to represent the spatial relationship between pixels within the nucleus.

Instance Segmentation Segmentation +1

A Plug-and-Play Priors Framework for Hyperspectral Unmixing

1 code implementation24 Dec 2020 Min Zhao, Xiuheng Wang, Jie Chen, Wei Chen

Spectral unmixing is a widely used technique in hyperspectral image processing and analysis.

Hyperspectral Unmixing Image Denoising

Empirical Evaluation of Typical Sparse Fast Fourier Transform Algorithms

no code implementations15 Dec 2020 Bin Li, Zhikang Jiang, Jie Chen

Computing the Sparse Fast Fourier Transform(sFFT) of a K-sparse signal of size N has emerged as a critical topic for a long time.

Online Convex Optimization Over Erdos-Renyi Random Networks

no code implementations NeurIPS 2020 Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi

The regret bounds scaling with respect to $T$ match those obtained by state-of-the-art algorithms and fundamental limits in the corresponding centralized online optimization problems, e. g., $\mathcal{O}(\sqrt{T}) $ and $\mathcal{O}(\ln(T)) $ regrets are established for convex and strongly convex losses with full gradient feedback and two-points information, respectively.