b'Chao Li'

research

∙ 09/03/2023

Liquid Democracy in DPoS Blockchains

Voting mechanisms play a crucial role in decentralized governance of blo...

0 Chao Li, et al. ∙

research

∙ 08/16/2023

KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution

Dynamic convolution learns a linear mixture of n static kernels weighted...

0 Chao Li, et al. ∙

research

∙ 08/09/2023

Analyzing and controlling diversity in quantum-behaved particle swarm optimization

This paper addresses the issues of controlling and analyzing the populat...

0 Li-Wei Li, et al. ∙

research

∙ 08/07/2023

Quantifying the Impact of Large Language Models on Collective Opinion Dynamics

The process of opinion expression and exchange is a critical component o...

0 Chao Li, et al. ∙

research

∙ 07/14/2023

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World

Physical adversarial attacks against deep neural networks (DNNs) have re...

0 Donghua Wang, et al. ∙

research

∙ 07/14/2023

Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks

This paper proposes a novel approach to integrating partial differential...

0 Chaoyu liu, et al. ∙

research

∙ 06/27/2023

GroundNLQ @ Ego4D Natural Language Queries Challenge 2023

In this report, we present our champion solution for Ego4D Natural Langu...

0 Zhijian Hou, et al. ∙

research

∙ 06/26/2023

Optimized Vectorizing of Building Structures with Swap: High-Efficiency Convolutional Channel-Swap Hybridization Strategy

The building planar graph reconstruction, a.k.a. footprint reconstructio...

0 Moule Lin, et al. ∙

research

∙ 06/19/2023

DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service

The Serverless Computing is becoming increasingly popular due to its eas...

0 Xiaoxiang Shi, et al. ∙

research

∙ 06/09/2023

Cross-Consensus Measurement of Individual-level Decentralization in Blockchains

Decentralization is widely recognized as a crucial characteristic of blo...

0 Chao Li, et al. ∙

research

∙ 06/06/2023

PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction

Multi-person motion prediction is a challenging task, especially for rea...

0 Yanwen Fang, et al. ∙

research

∙ 06/01/2023

A Novel Driver Distraction Behavior Detection Based on Self-Supervised Learning Framework with Masked Image Modeling

Driver distraction causes a significant number of traffic accidents ever...

0 Yingzhi Zhang, et al. ∙

research

∙ 05/24/2023

SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search

Tensor network (TN) representation is a powerful technique for data anal...

0 Yu-Bang Zheng, et al. ∙

research

∙ 05/23/2023

Impact of Light and Shadow on Robustness of Deep Neural Networks

Deep neural networks (DNNs) have made remarkable strides in various comp...

0 Chengyin Hu, et al. ∙

research

∙ 05/23/2023

NORM: Knowledge Distillation via N-to-One Representation Matching

Existing feature distillation methods commonly adopt the One-to-one Repr...

0 Xiaolong Liu, et al. ∙

research

∙ 05/05/2023

Physics-based network fine-tuning for robust quantitative susceptibility mapping from high-pass filtered phase

Purpose: To improve the generalization ability of convolutional neural n...

1 Jinwei Zhang, et al. ∙

research

∙ 04/25/2023

Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations

Tensor network (TN) is a powerful framework in machine learning, but sel...

0 Chao Li, et al. ∙

research

∙ 04/20/2023

Learning Neural Duplex Radiance Fields for Real-Time View Synthesis

Neural radiance fields (NeRFs) enable novel view synthesis with unpreced...

0 Ziyu Wan, et al. ∙

research

∙ 04/19/2023

Adaptive beamforming for optical wireless communication via fiber modal control

High-speed optical wireless communication can address the exponential gr...

0 Chao Li, et al. ∙

research

∙ 04/14/2023

The Second Monocular Depth Estimation Challenge

This paper discusses the results for the second edition of the Monocular...

0 Jaime Spencer, et al. ∙

research

∙ 04/14/2023

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense

While having achieved great success in rich real-life applications, deep...

0 Jingyuan Wang, et al. ∙

research

∙ 03/26/2023

Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma

Most recently, the pathology diagnosis of cancer is shifting to integrat...

3 Xiaofei Wang, et al. ∙

research

∙ 03/24/2023

CoLa-Diff: Conditional Latent Diffusion Model for Multi-Modal MRI Synthesis

MRI synthesis promises to mitigate the challenge of missing MRI modality...

0 Lan Jiang, et al. ∙

research

∙ 03/24/2023

DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-Resolution

Multi-contrast magnetic resonance imaging (MRI) is the most common manag...

0 Ye Mao, et al. ∙

research

∙ 03/01/2023

Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks

Achieving efficient and robust multi-channel data learning is a challeng...

0 Andong Wang, et al. ∙

research

∙ 02/28/2023

Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English

Considering the bimodal nature of human speech perception, lips, and tee...

0 Xiaoming Ren, et al. ∙

research

∙ 02/09/2023

Gaussian Mask Convolution for Convolutional Neural Networks

Square convolution is a default unit in convolutional neural networks as...

0 Qi Chen, et al. ∙

research

∙ 01/27/2023

Improved Differential-neural Cryptanalysis for Round-reduced Simeck32/64

In CRYPTO 2019, Gohr presented differential-neural cryptanalysis by buil...

0 Liu Zhang, et al. ∙

research

∙ 01/19/2023

Spatially Covariant Lesion Segmentation

Compared to natural images, medical images usually show stronger visual ...

15 Hang Zhang, et al. ∙

research

∙ 01/13/2023

Channel Measurement for Holographic MIMO: Benefits and Challenges of Spatial Oversampling

In this paper, the channel of an indoor holographic multiple-input multi...

0 Tengjiao Wang, et al. ∙

research

∙ 01/06/2023

Centralized Cooperative Exploration Policy for Continuous Control Tasks

The deep reinforcement learning (DRL) algorithm works brilliantly on sol...

0 Chao Li, et al. ∙

research

∙ 12/07/2022

Accelerating Self-Imitation Learning from Demonstrations via Policy Constraints and Q-Ensemble

Deep reinforcement learning (DRL) provides a new way to generate robot c...

0 Chao Li, et al. ∙

research

∙ 12/02/2022

MMBench: Benchmarking End-to-End Multi-modal DNNs and Understanding Their Hardware-Software Implications

The explosive growth of various types of big data and advances in AI tec...

0 Cheng Xu, et al. ∙

research

∙ 11/27/2022

Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks

Heterogeneous information networks (HINs) are widely employed for descri...

0 Chao Li, et al. ∙

research

∙ 11/17/2022

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics

Trajectory Representation Learning (TRL) is a powerful tool for spatial-...

0 Jiawei Jiang, et al. ∙

research

∙ 11/01/2022

LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping

Quantitative susceptibility mapping (QSM) involves acquisition and recon...

0 Jinwei Zhang, et al. ∙

research

∙ 10/25/2022

Instance Segmentation for Chinese Character Stroke Extraction, Datasets and Benchmarks

Stroke is the basic element of Chinese character and stroke extraction h...

0 Lizhao Liu, et al. ∙

research

∙ 10/19/2022

Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking

Chinese Spell Checking (CSC) aims to detect and correct Chinese spelling...

0 Yinghui Li, et al. ∙

research

∙ 10/18/2022

Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation

Contrastive self-supervised learning (CSL) with a prototypical regulariz...

0 Shentong Mo, et al. ∙

research

∙ 09/22/2022

DRKF: Distilled Rotated Kernel Fusion for Efficiently Boosting Rotation Invariance in Image Matching

Most existing learning-based image matching pipelines are designed for b...

0 Chao Li, et al. ∙

research

∙ 09/16/2022

Omni-Dimensional Dynamic Convolution

Learning a single static convolutional kernel in each convolutional laye...

0 Chao Li, et al. ∙

research

∙ 09/16/2022

DBT-DMAE: An Effective Multivariate Time Series Pre-Train Model under Missing Data

Multivariate time series(MTS) is a universal data type related to many p...

0 Kai Zhang, et al. ∙

research

∙ 08/31/2022

MAFormer: A Transformer Network with Multi-scale Attention Fusion for Visual Recognition

Vision Transformer and its variants have demonstrated great potential in...

0 Yunhao Wang, et al. ∙

research

∙ 08/26/2022

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications

To automatically correct handwritten assignments, the traditional approa...

0 Yusen Zhang, et al. ∙

research

∙ 08/18/2022

Siamese Prototypical Contrastive Learning

Contrastive Self-supervised Learning (CSL) is a practical solution that ...

0 Shentong Mo, et al. ∙

research

∙ 08/10/2022

Language Supervised Training for Skeleton-based Action Recognition

Skeleton-based action recognition has drawn a lot of attention for its c...

0 Wangmeng Xiang, et al. ∙

research

∙ 07/27/2022

Spatiotemporal Self-attention Modeling with Temporal Patch Shift for Action Recognition

Transformer-based methods have recently achieved great advancement on 2D...

0 Wangmeng Xiang, et al. ∙

research

∙ 07/09/2022

Snipper: A Spatiotemporal Transformer for Simultaneous Multi-Person 3D Pose Estimation Tracking and Forecasting on a Video Snippet

Multi-person pose understanding from RGB videos includes three complex t...

0 Shihao Zou, et al. ∙

research

∙ 06/29/2022

SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences

The attention mechanisms of transformers effectively extract pertinent i...

0 Guan Shen, et al. ∙

research

∙ 06/15/2022

SP-ViT: Learning 2D Spatial Priors for Vision Transformers

Recently, transformers have shown great potential in image classificatio...

0 Yuxuan Zhou, et al. ∙

Chao Li

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