Search Results for author: Bin Chen

Found 84 papers, 27 papers with code

Invertible Residual Rescaling Models

no code implementations5 May 2024 Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang

To address this issue, we propose Invertible Residual Rescaling Models (IRRM) for image rescaling by learning a bijection between a high-resolution image and its low-resolution counterpart with a specific distribution.

ResVR: Joint Rescaling and Viewport Rendering of Omnidirectional Images

no code implementations25 Apr 2024 Weiqi Li, Shijie Zhao, Bin Chen, Xinhua Cheng, Junlin Li, Li Zhang, Jian Zhang

With the advent of virtual reality technology, omnidirectional image (ODI) rescaling techniques are increasingly embraced for reducing transmitted and stored file sizes while preserving high image quality.

ERP

Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting

no code implementations28 Mar 2024 Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu

Our framework and model introduce the following key aspects: (1) to learn real-world adaptive semantic representation for objects with diverse and complex structures under real-world scenes, we introduce extra semantic segmentation and edge detection tasks on more diverse real-world data with segmentation annotations; (2) to avoid overfitting on low-level details, we propose a module to utilize the inconsistency between learned segmentation and matting representations to regularize detail refinement; (3) we propose a novel background line detection task into our auxiliary learning framework, to suppress interference of background lines or textures.

Auxiliary Learning Edge Detection +4

Invertible Diffusion Models for Compressed Sensing

no code implementations25 Mar 2024 Bin Chen, Zhenyu Zhang, Weiqi Li, Chen Zhao, Jiwen Yu, Shijie Zhao, Jie Chen, Jian Zhang

To enable such memory-intensive end-to-end finetuning, we propose a novel two-level invertible design to transform both (1) the multi-step sampling process and (2) the noise estimation U-Net in each step into invertible networks.

Image Compressed Sensing Image Reconstruction +1

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off

no code implementations10 Feb 2024 Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng

This implies that our FedCEO can effectively recover the disrupted semantic information by smoothing the global semantic space for different privacy settings and continuous training processes.

Federated Learning

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses

1 code implementation6 Feb 2024 Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia

Model Inversion (MI) attacks aim to disclose private information about the training data by abusing access to the pre-trained models.

Conversational Crowdsensing: A Parallel Intelligence Powered Novel Sensing Approach

no code implementations4 Feb 2024 Zhengqiu Zhu, Yong Zhao, Bin Chen, Sihang Qiu, Kai Xu, Quanjun Yin, Jincai Huang, Zhong Liu, Fei-Yue Wang

The transition from CPS-based Industry 4. 0 to CPSS-based Industry 5. 0 brings new requirements and opportunities to current sensing approaches, especially in light of recent progress in Chatbots and Large Language Models (LLMs).

Scheduling

Fast Implicit Neural Representation Image Codec in Resource-limited Devices

no code implementations23 Jan 2024 Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia

With different parameter settings, our method can outperform popular AE-based codecs in constrained environments in terms of both quality and decoding time, or achieve state-of-the-art reconstruction quality compared to other INR codecs.

Computational Efficiency Image Compression

MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network

no code implementations19 Jan 2024 Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, YaoWei Wang

In this paper, we propose a Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network (MB-RACS) framework, which aims to adaptively determine the sampling rate for each image block in accordance with traditional measurement bounds theory.

Image Compressed Sensing

FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side Information

no code implementations28 Dec 2023 Yichong Xia, Yujun Huang, Bin Chen, Haoqian Wang, YaoWei Wang

To address this limitation, we propose a Feature-based Fast Cascade Alignment network (FFCA-Net) to fully leverage the side information on the decoder.

Data Compression Decoder +2

Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning

no code implementations19 Dec 2023 Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen

This study assesses the ability of state-of-the-art large language models (LLMs) including GPT-3. 5, GPT-4, Falcon, and LLaMA 2 to identify patients with mild cognitive impairment (MCI) from discharge summaries and examines instances where the models' responses were misaligned with their reasoning.

Decision Making Prompt Engineering

Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders

1 code implementation17 Dec 2023 Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

Specifically, to learn more compact features, a share-parameter Transformer encoder is introduced to extract point features from the global and local unmasked patches obtained by global random and local block mask strategies, followed by a specific decoder to reconstruct.

Few-Shot 3D Point Cloud Classification

AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models

1 code implementation12 Dec 2023 Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Shu-Tao Xia, Zexuan Zhu

Recently, Parameter Efficient Transfer Learning (PETL) offers an efficient alternative solution to full fine-tuning, yet still faces great challenges for pre-trained image restoration models, due to the diversity of different degradations.

Image Denoising Image Restoration +1

Perceptual Image Compression with Cooperative Cross-Modal Side Information

no code implementations23 Nov 2023 Shiyu Qin, Bin Chen, Yujun Huang, Baoyi An, Tao Dai, Shu-Tao Xia

The explosion of data has resulted in more and more associated text being transmitted along with images.

Decoder Image Compression +1

DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing

no code implementations13 Nov 2023 Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang

Assigning varying compression ratios to workers with distinct data distributions and volumes is thus a promising solution.

USDC: Unified Static and Dynamic Compression for Visual Transformer

no code implementations17 Oct 2023 Huan Yuan, Chao Liao, Jianchao Tan, Peng Yao, Jiyuan Jia, Bin Chen, Chengru Song, Di Zhang

To alleviate two disadvantages of two categories of methods, we propose to unify the static compression and dynamic compression techniques jointly to obtain an input-adaptive compressed model, which can further better balance the total compression ratios and the model performances.

Model Compression

ASP: Automatic Selection of Proxy dataset for efficient AutoML

no code implementations17 Oct 2023 Peng Yao, Chao Liao, Jiyuan Jia, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

Deep neural networks have gained great success due to the increasing amounts of data, and diverse effective neural network designs.

Neural Architecture Search

Battle of the Large Language Models: Dolly vs LLaMA vs Vicuna vs Guanaco vs Bard vs ChatGPT -- A Text-to-SQL Parsing Comparison

no code implementations16 Oct 2023 Shuo Sun, Yuchen Zhang, Jiahuan Yan, Yuze Gao, Donovan Ong, Bin Chen, Jian Su

The success of ChatGPT has ignited an AI race, with researchers striving to develop new large language models (LLMs) that can match or surpass the language understanding and generation abilities of commercial ones.

SQL Parsing Text-To-SQL

KwaiYiiMath: Technical Report

no code implementations11 Oct 2023 Jiayi Fu, Lei Lin, Xiaoyang Gao, Pengli Liu, Zhengzong Chen, Zhirui Yang, ShengNan Zhang, Xue Zheng, Yan Li, Yuliang Liu, Xucheng Ye, Yiqiao Liao, Chao Liao, Bin Chen, Chengru Song, Junchen Wan, Zijia Lin, Fuzheng Zhang, Zhongyuan Wang, Di Zhang, Kun Gai

Recent advancements in large language models (LLMs) have demonstrated remarkable abilities in handling a variety of natural language processing (NLP) downstream tasks, even on mathematical tasks requiring multi-step reasoning.

Ranked #88 on Arithmetic Reasoning on GSM8K (using extra training data)

Arithmetic Reasoning GSM8K +1

MuseChat: A Conversational Music Recommendation System for Videos

no code implementations10 Oct 2023 Zhikang Dong, Bin Chen, Xiulong Liu, Pawel Polak, Peng Zhang

The reasoning module, equipped with the power of Large Language Model (Vicuna-7B) and extended to multi-modal inputs, is able to provide reasonable explanation for the recommended music.

Language Modelling Large Language Model +2

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

1 code implementation8 Oct 2023 Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

Current PRVR methods adopt scanning-based clip construction to achieve explicit clip modeling, which is information-redundant and requires a large storage overhead.

Partially Relevant Video Retrieval Retrieval +1

Enhancing Keyphrase Generation by BART Finetuning with Splitting and Shuffling

no code implementations13 Sep 2023 Bin Chen, Mizuho Iwaihara

Keyphrase generation is a task of identifying a set of phrases that best repre-sent the main topics or themes of a given text.

Keyphrase Generation

Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization

1 code implementation9 Sep 2023 Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chenyi Lei, An Liu, Chengru Song, Xiaoqiang Lei, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu

Specifically, we introduce a well-designed visual tokenizer to translate the non-linguistic image into a sequence of discrete tokens like a foreign language that LLM can read.

Language Modelling Large Language Model +1

Adjacency-hopping de Bruijn Sequences for Non-repetitive Coding

no code implementations6 Sep 2023 Bin Chen, Zhenglin Liang, Shiqian Wu

A special type of cyclic sequences named adjacency-hopping de Bruijn sequences is introduced in this paper.

Self-Supervised Scalable Deep Compressed Sensing

1 code implementation26 Aug 2023 Bin Chen, Xuanyu Zhang, Shuai Liu, Yongbing Zhang, Jian Zhang

Compressed sensing (CS) is a promising tool for reducing sampling costs.

On the Performance of Multidimensional Constellation Shaping for Linear and Nonlinear Optical Fiber Channel

no code implementations17 Aug 2023 Bin Chen, Zhiwei Liang, Shen Li, Yi Lei, Gabriele Liga, Alex Alvarado

Multidimensional constellation shaping of up to 32 dimensions with different spectral efficiencies are compared through AWGN and fiber-optic simulations.

Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks

1 code implementation9 Aug 2023 Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang

We propose an improved end-to-end Minimax optimization method for this sparse learning problem to better balance the model performance and the computation efficiency.

Model Compression Sparse Learning

GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization

1 code implementation ICCV 2023 Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia

Federated Learning (FL) has recently emerged as a promising distributed machine learning framework to preserve clients' privacy, by allowing multiple clients to upload the gradients calculated from their local data to a central server.

Federated Learning Image Generation

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

1 code implementation ICCV 2023 Bin Chen, Jia-Li Yin, Shukai Chen, Bo-Hao Chen, Ximeng Liu

Alternatively, model ensemble adversarial attacks are proposed to fuse outputs from surrogate models with diverse architectures to get an ensemble loss, making the generated adversarial example more likely to transfer to other models as it can fool multiple models concurrently.

Adversarial Attack

One-stage Low-resolution Text Recognition with High-resolution Knowledge Transfer

1 code implementation5 Aug 2023 Hang Guo, Tao Dai, Mingyan Zhu, Guanghao Meng, Bin Chen, Zhi Wang, Shu-Tao Xia

Current solutions for low-resolution text recognition (LTR) typically rely on a two-stage pipeline that involves super-resolution as the first stage followed by the second-stage recognition.

Contrastive Learning Knowledge Distillation +2

Deep Physics-Guided Unrolling Generalization for Compressed Sensing

1 code implementation18 Jul 2023 Bin Chen, Jiechong Song, Jingfen Xie, Jian Zhang

By absorbing the merits of both the model- and data-driven methods, deep physics-engaged learning scheme achieves high-accuracy and interpretable image reconstruction.

Image Compressed Sensing Image Reconstruction

Mega-cities dominate China's urban greening

no code implementations3 Jul 2023 Xiaoxin Zhang, Martin Brandt, Xiaoye Tong, Xiaowei Tong, Wenmin Zhang, Florian Reiner, Sizhuo Li, Feng Tian, Yuemin Yue, Weiqi Zhou, Bin Chen, Xiangming Xiao, Rasmus Fensholt

Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being.

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing

1 code implementation28 Jun 2023 Jiechong Song, Bin Chen, Jian Zhang

Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance.

Compressive Sensing

Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding

no code implementations18 May 2023 Taolin Zhang, Sunan He, Dai Tao, Bin Chen, Zhi Wang, Shu-Tao Xia

In recent years, vision language pre-training frameworks have made significant progress in natural language processing and computer vision, achieving remarkable performance improvement on various downstream tasks.

Contrastive Learning Object +2

Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers

no code implementations29 Mar 2023 Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang

In this work, the VQVAE focus on feature extraction and reconstruction of images, and the transformers fit the manifold and locate anomalies in the latent space.

Unsupervised Anomaly Detection

Progressive Content-aware Coded Hyperspectral Compressive Imaging

no code implementations17 Mar 2023 Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang

Hyperspectral imaging plays a pivotal role in a wide range of applications, like remote sensing, medicine, and cytology.

Analytical Model of Nonlinear Fiber Propagation for General Dual-Polarization Four-Dimensional Modulation Format

no code implementations14 Feb 2023 Zhiwei Liang, Bin Chen, Yi Lei, Gabriele Liga, Alex Alvarado

As an application of our model, we further study the effects of signal-noise interactions in long-haul transmission via the proposed model.

Revisiting Image Deblurring with an Efficient ConvNet

1 code implementation4 Feb 2023 Lingyan Ruan, Mojtaba Bemana, Hans-Peter Seidel, Karol Myszkowski, Bin Chen

In this work, we propose a unified lightweight CNN network that features a large effective receptive field (ERF) and demonstrates comparable or even better performance than Transformers while bearing less computational costs.

Attribute Deblurring +2

Contrastive Masked Autoencoders for Self-Supervised Video Hashing

1 code implementation21 Nov 2022 Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shutao Xia

To capture video semantic information for better hashing learning, we adopt an encoder-decoder structure to reconstruct the video from its temporal-masked frames.

Decoder Retrieval +3

Learning Transferable Spatiotemporal Representations from Natural Script Knowledge

1 code implementation CVPR 2023 Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge

Pre-training on large-scale video data has become a common recipe for learning transferable spatiotemporal representations in recent years.

Descriptive Representation Learning +1

Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain

no code implementations6 Sep 2022 Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, YaoWei Wang, Tao Dai, Shu-Tao Xia

Specifically, MSFDPM consists of a side information feature extractor, a multi-scale feature domain patch matching module, and a multi-scale feature fusion network.

Decoder Image Compression +1

Multi-Scale Architectures Matter: On the Adversarial Robustness of Flow-based Lossless Compression

no code implementations26 Aug 2022 Yi-chong Xia, Bin Chen, Yan Feng, Tian-shuo Ge

As a probabilistic modeling technique, the flow-based model has demonstrated remarkable potential in the field of lossless compression \cite{idf, idf++, lbb, ivpf, iflow},.

Adversarial Robustness Density Estimation

SIAD: Self-supervised Image Anomaly Detection System

no code implementations8 Aug 2022 Jiawei Li, Chenxi Lan, Xinyi Zhang, Bolin Jiang, Yuqiu Xie, Naiqi Li, Yan Liu, Yaowei Li, Enze Huo, Bin Chen

To make a step forward, this paper outlines an automatic annotation system called SsaA, working in a self-supervised learning manner, for continuously making the online visual inspection in the manufacturing automation scenarios.

Anomaly Detection Cloud Computing +1

D3C2-Net: Dual-Domain Deep Convolutional Coding Network for Compressive Sensing

no code implementations27 Jul 2022 Weiqi Li, Bin Chen, Jian Zhang

By unfolding the proposed framework into deep neural networks, we further design a novel Dual-Domain Deep Convolutional Coding Network (D3C2-Net) for CS imaging with the capability of transmitting high-throughput feature-level image representation through all the unfolded stages.

Compressive Sensing

Content-aware Scalable Deep Compressed Sensing

1 code implementation19 Jul 2022 Bin Chen, Jian Zhang

To more efficiently address image compressed sensing (CS) problems, we present a novel content-aware scalable network dubbed CASNet which collectively achieves adaptive sampling rate allocation, fine granular scalability and high-quality reconstruction.

Blocking Image Compressed Sensing +1

Cycle Self-Training for Semi-Supervised Object Detection with Distribution Consistency Reweighting

no code implementations12 Jul 2022 Hao liu, Bin Chen, Bo wang, Chunpeng Wu, Feng Dai, Peng Wu

To address the coupling problem, we propose a Cycle Self-Training (CST) framework for SSOD, which consists of two teachers T1 and T2, two students S1 and S2.

object-detection Object Detection +1

Analytical SNR Prediction in Long-Haul Optical Transmission using General Dual-Polarization 4D Formats

no code implementations2 Jun 2022 Zhiwei Liang, Bin Chen, Yi Lei, Gabriele Liga, Alex Alvarado

Nonlinear interference models for dual-polarization 4D (DP-4D) modulation have only been used so far to predict signal-signal nonlinear interference.

Learning to Deblur using Light Field Generated and Real Defocus Images

1 code implementation CVPR 2022 Lingyan Ruan, Bin Chen, Jizhou Li, Miuling Lam

We first train the network on a light field-generated dataset for its highly accurate image correspondence.

 Ranked #1 on Image Defocus Deblurring on RealDOF (using extra training data)

Deblurring Image Defocus Deblurring +1

ViT-P: Rethinking Data-efficient Vision Transformers from Locality

1 code implementation4 Mar 2022 Bin Chen, Ran Wang, Di Ming, Xin Feng

We make vision transformers as data-efficient as convolutional neural networks by introducing multi-focal attention bias.

Hybrid Contrastive Quantization for Efficient Cross-View Video Retrieval

1 code implementation7 Feb 2022 Jinpeng Wang, Bin Chen, Dongliang Liao, Ziyun Zeng, Gongfu Li, Shu-Tao Xia, Jin Xu

By performing Asymmetric-Quantized Contrastive Learning (AQ-CL) across views, HCQ aligns texts and videos at coarse-grained and multiple fine-grained levels.

Contrastive Learning Quantization +4

Subspace modeling for fast and high-sensitivity X-ray chemical imaging

no code implementations1 Jan 2022 Jizhou Li, Bin Chen, Guibin Zan, Guannan Qian, Piero Pianetta, Yijin Liu

Resolving morphological chemical phase transformations at the nanoscale is of vital importance to many scientific and industrial applications across various disciplines.

Denoising Vocal Bursts Intensity Prediction

Shaped Four-Dimensional Modulation Formats for Optical Fiber Communication Systems

no code implementations23 Dec 2021 Bin Chen, Gabriele Liga, Yi Lei, Wei Ling, Zhengyan Huan, Xuwei Xue, Alex Alvarado

We review the design of multidimensional modulations by maximizing generalized mutual information and compare the maximum transmission reach of recently introduced 4D formats.

Low-Complexity Geometrical Shaping for 4D Modulation Formats via Amplitude Coding

no code implementations29 Oct 2021 Bin Chen, Wei Ling, Yunus Can Gültekin, Yi Lei, Chigo Okonkwo, Alex Alvarado

Signal shaping is vital to approach Shannon's capacity, yet it is challenging to implement at very high speeds.

Model-aided Geometrical Shaping of Dual-polarization 4D Formats in the Nonlinear Fiber Channel

no code implementations22 Oct 2021 Gabriele Liga, Bin Chen, Alex Alvarado

The geometry of dual-polarization four-dimensional constellations is optimized in the optical fiber channel using a recent nonlinear interference model.

Learning a self-supervised tone mapping operator via feature contrast masking loss

no code implementations19 Oct 2021 Chao Wang, Bin Chen, Hans-Peter Seidel, Karol Myszkowski, Ana Serrano

High Dynamic Range (HDR) content is becoming ubiquitous due to the rapid development of capture technologies.

Tone Mapping

Memory-Augmented Deep Unfolding Network for Compressive Sensing

1 code implementation19 Oct 2021 Jiechong Song, Bin Chen, Jian Zhang

By understanding DUNs from the perspective of the human brain's memory processing, we find there exists two issues in existing DUNs.

Compressive Sensing

Contrastive Quantization with Code Memory for Unsupervised Image Retrieval

1 code implementation11 Sep 2021 Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

The high efficiency in computation and storage makes hashing (including binary hashing and quantization) a common strategy in large-scale retrieval systems.

Contrastive Learning Deep Hashing +1

Unbiased IoU for Spherical Image Object Detection

no code implementations18 Aug 2021 Qiang Zhao, Bin Chen, Hang Xu, Yike Ma, XiaoDong Li, Bailan Feng, Chenggang Yan, Feng Dai

In this paper, we first identify that spherical rectangles are unbiased bounding boxes for objects in spherical images, and then propose an analytical method for IoU calculation without any approximations.

Object object-detection +1

COAST: COntrollable Arbitrary-Sampling NeTwork for Compressive Sensing

1 code implementation15 Jul 2021 Di You, Jian Zhang, Jingfen Xie, Bin Chen, Siwei Ma

In this paper, we propose a novel COntrollable Arbitrary-Sampling neTwork, dubbed COAST, to solve CS problems of arbitrary-sampling matrices (including unseen sampling matrices) with one single model.

Blocking Compressive Sensing

Universal Adversarial Head: Practical Protection against Video Data Leakage

no code implementations ICML Workshop AML 2021 Jiawang Bai, Bin Chen, Dongxian Wu, Chaoning Zhang, Shu-Tao Xia

We propose $universal \ adversarial \ head$ (UAH), which crafts adversarial query videos by prepending the original videos with a sequence of adversarial frames to perturb the normal hash codes in the Hamming space.

Deep Hashing Video Retrieval

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

1 code implementation5 Jun 2021 Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou

Second, the contrastive scheme only learns representations that are invariant to local perturbations and thus does not consider the global structure of the dataset, which may also be useful for downstream tasks.

Contrastive Learning Representation Learning

Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning

no code implementations3 Mar 2021 Ruizhen Hu, Bin Chen, Juzhan Xu, Oliver van Kaick, Oliver Deussen, Hui Huang

Given a set of star glyphs associated to multiple class labels, we propose to use shape context descriptors to measure the perceptual distance between pairs of glyphs, and use the derived silhouette coefficient to measure the perception of class separability within the entire set.

Decoder Perceptual Distance +2

Modeling of Nonlinear Interference Power for Dual-Polarization 4D Formats

no code implementations27 Jan 2021 Gabriele Liga, Bin Chen, Astrid Barreiro, Alex Alvarado

We assess the accuracy of a recently introduced nonlinear interference model for general dual-polarization 4D formats.~ Unlike previous models for polarization-multiplexed 2D formats, an average gap from split-step Fourier simulations within 0. 1 dB is demonstrated.

Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

no code implementations14 Jan 2021 Ben Chen, Bin Chen, Dehong Gao, Qijin Chen, Chengfu Huo, Xiaonan Meng, Weijun Ren, Yang Zhou

However, universal language models may perform weakly in these fake news detection for lack of large-scale annotated data and sufficient semantic understanding of domain-specific knowledge.

Fake News Detection Language Modelling

Robust Collaborative Learning with Noisy Labels

no code implementations26 Dec 2020 Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou

In this paper, we study the underlying mechanism of how disagreement and agreement between networks can help reduce the noise in gradients and develop a novel framework called Robust Collaborative Learning (RCL) that leverages both disagreement and agreement among networks.

Learning with noisy labels Selection bias

Dual Refinement Feature Pyramid Networks for Object Detection

no code implementations3 Dec 2020 Jialiang Ma, Bin Chen

SRB learns the location and content of sampling points based on contextual information between adjacent levels.

Object object-detection +1

TAP-Net: Transport-and-Pack using Reinforcement Learning

no code implementations3 Sep 2020 Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang

Using a learning-based approach, a trained network can learn and encode solution patterns to guide the solution of new problem instances instead of executing an expensive online search.

Decoder reinforcement-learning +1

Targeted Attack for Deep Hashing based Retrieval

2 code implementations ECCV 2020 Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-hui Yang

In this paper, we propose a novel method, dubbed deep hashing targeted attack (DHTA), to study the targeted attack on such retrieval.

Deep Hashing Image Retrieval +1

Adversarial Attack on Deep Product Quantization Network for Image Retrieval

no code implementations26 Feb 2020 Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia

Deep product quantization network (DPQN) has recently received much attention in fast image retrieval tasks due to its efficiency of encoding high-dimensional visual features especially when dealing with large-scale datasets.

Adversarial Attack Image Retrieval +2

The Entropy of Artificial Intelligence and a Case Study of AlphaZero from Shannon's Perspective

no code implementations14 Dec 2018 Bo Zhang, Bin Chen, Jin-lin Peng

Firstly, as there is a finite number of possibilities in the game, is there a quantifiable intelligence measurement for evaluating intelligent systems, e. g. AlphaZero?

An Unified Intelligence-Communication Model for Multi-Agent System Part-I: Overview

no code implementations25 Nov 2018 Bo Zhang, Bin Chen, Jinyu Yang, Wenjing Yang, Jiankang Zhang

Motivated by Shannon's model and recent rehabilitation of self-supervised artificial intelligence having a "World Model", this paper propose an unified intelligence-communication (UIC) model for describing a single agent and any multi-agent system.

Aspects of Warped AdS$_3$/CFT$_2$ Correspondence

no code implementations27 Feb 2013 Bin Chen, Jia-ju Zhang, Jian-dong Zhang, De-liang Zhong

In this paper we apply the thermodynamics method to investigate the holographic pictures for the BTZ black hole, the spacelike and the null warped black holes in three-dimensional topologically massive gravity (TMG) and new massive gravity (NMG).

High Energy Physics - Theory General Relativity and Quantum Cosmology

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