b'Hao Yu'

research

∙ 09/12/2023

Modality Unifying Network for Visible-Infrared Person Re-Identification

Visible-infrared person re-identification (VI-ReID) is a challenging tas...

0 Hao Yu, et al. ∙

research

∙ 09/06/2023

Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction

Reconstructing both objects and hands in 3D from a single RGB image is c...

0 Zhiying Leng, et al. ∙

research

∙ 08/19/2023

Open, Closed, or Small Language Models for Text Classification?

Recent advancements in large language models have demonstrated remarkabl...

0 Hao Yu, et al. ∙

research

∙ 08/07/2023

AgentBench: Evaluating LLMs as Agents

Large Language Models (LLMs) are becoming increasingly smart and autonom...

0 Xiao Liu, et al. ∙

research

∙ 06/26/2023

Blockchain technology research and application: a systematic literature review and future trends

Blockchain, as the basis for cryptocurrencies, has received extensive at...

0 Min An, et al. ∙

research

∙ 06/14/2023

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Large Language Models (LLMs) are gaining increasing attention due to the...

0 Zhigang Kan, et al. ∙

research

∙ 06/13/2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

We present WebGLM, a web-enhanced question-answering system based on the...

0 Xiao Liu, et al. ∙

research

∙ 04/11/2023

High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough

NVMe(Non-Volatile Memory Express) is an industry standard for solid-stat...

0 Yiquan Chen, et al. ∙

research

∙ 03/30/2023

Online Camera-to-ground Calibration for Autonomous Driving

Online camera-to-ground calibration is to generate a non-rigid body tran...

0 Binbin Li, et al. ∙

research

∙ 03/17/2023

Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration

We study the problem of outlier correspondence pruning for non-rigid poi...

0 Zheng Qin, et al. ∙

research

∙ 03/14/2023

Rotation-Invariant Transformer for Point Cloud Matching

The intrinsic rotation invariance lies at the core of matching point clo...

0 Hao Yu, et al. ∙

research

∙ 03/02/2023

Task-Specific Context Decoupling for Object Detection

Classification and localization are two main sub-tasks in object detecti...

0 Jiayuan Zhuang, et al. ∙

research

∙ 02/01/2023

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models

Code generation models based on the pre-training and fine-tuning paradig...

0 Hao Yu, et al. ∙

research

∙ 09/27/2022

RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration

Successful point cloud registration relies on accurate correspondences e...

7 Hao Yu, et al. ∙

research

∙ 03/16/2022

Multi-Scale Context-Guided Lumbar Spine Disease Identification with Coarse-to-fine Localization and Classification

Accurate and efficient lumbar spine disease identification is crucial fo...

4 ZiFan Chen, et al. ∙

research

∙ 03/09/2022

NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation

Pose estimation of 3D objects in monocular images is a fundamental and l...

26 Fu Li, et al. ∙

research

∙ 02/14/2022

Geometric Transformer for Fast and Robust Point Cloud Registration

We study the problem of extracting accurate correspondences for point cl...

1 Zheng Qin, et al. ∙

research

∙ 01/26/2022

Training Vision Transformers with Only 2040 Images

Vision Transformers (ViTs) is emerging as an alternative to convolutiona...

6 Yun-Hao Cao, et al. ∙

research

∙ 11/30/2021

A Unified Pruning Framework for Vision Transformers

Recently, vision transformer (ViT) and its variants have achieved promis...

2 Hao Yu, et al. ∙

research

∙ 10/26/2021

CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud Registration

We study the problem of extracting correspondences between a pair of poi...

16 Hao Yu, et al. ∙

research

∙ 04/20/2021

Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning

Inefficient traffic control may cause numerous problems such as traffic ...

11 Zhenning Li, et al. ∙

research

∙ 04/11/2021

Semi-G-normal: a Hybrid between Normal and G-normal

The G-expectation framework is a generalization of the classical probabi...

0 Yifan Li, et al. ∙

research

∙ 01/12/2021

Mixup Without Hesitation

Mixup linearly interpolates pairs of examples to form new samples, which...

20 Hao Yu, et al. ∙

research

∙ 11/27/2020

Robust Attacks on Deep Learning Face Recognition in the Physical World

Deep neural networks (DNNs) have been increasingly used in face recognit...

5 Meng Shen, et al. ∙

research

∙ 11/04/2020

S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation

Real-time understanding in video is crucial in various AI applications s...

18 Yuan Cheng, et al. ∙

research

∙ 02/28/2020

HOTCAKE: Higher Order Tucker Articulated Kernels for Deeper CNN Compression

The emerging edge computing has promoted immense interests in compacting...

5 Rui Lin, et al. ∙

research

∙ 05/10/2019

On the Computation and Communication Complexity of Parallel SGD with Dynamic Batch Sizes for Stochastic Non-Convex Optimization

For SGD based distributed stochastic optimization, computation complexit...

0 Hao Yu, et al. ∙

research

∙ 05/09/2019

On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization

Recent developments on large-scale distributed machine learning applicat...

0 Hao Yu, et al. ∙

research

∙ 11/06/2018

Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond

We propose 'Hide-and-Seek' a general purpose data augmentation technique...

10 Krishna Kumar Singh, et al. ∙

research

∙ 11/01/2018

MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings

Many knowledge graph embedding methods operate on triples and are theref...

4 Hao Yu, et al. ∙

research

∙ 09/05/2018

Solving Non-smooth Constrained Programs with Lower Complexity than O(1/ε): A Primal-Dual Homotopy Smoothing Approach

We propose a new primal-dual homotopy smoothing algorithm for a linearly...

0 Xiaohan Wei, et al. ∙

research

∙ 07/17/2018

Parallel Restarted SGD for Non-Convex Optimization with Faster Convergence and Less Communication

For large scale non-convex stochastic optimization, parallel mini-batch ...

0 Hao Yu, et al. ∙

research

∙ 07/10/2018

Using Complex Network Theory for Temporal Locality in Network Traffic Flows

Monitoring the interaction behaviors of network traffic flows and detect...

0 Jin-Fa Wang, et al. ∙

research

∙ 05/27/2018

Fast K-Means Clustering with Anderson Acceleration

We propose a novel method to accelerate Lloyd's algorithm for K-Means cl...

0 Juyong Zhang, et al. ∙

research

∙ 05/21/2018

DEEPEYE: A Compact and Accurate Video Comprehension at Terminal Devices Compressed with Quantization and Tensorization

As it requires a huge number of parameters when exposed to high dimensio...

0 Yuan Cheng, et al. ∙

research

∙ 04/10/2018

Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors

Modern object detectors usually suffer from low accuracy issues, as fore...

0 Hao Yu, et al. ∙

research

∙ 03/24/2018

Merging and Evolution: Improving Convolutional Neural Networks for Mobile Applications

Compact neural networks are inclined to exploit "sparsely-connected" con...

0 Zheng Qin, et al. ∙

research

∙ 01/10/2018

Learning Aided Optimization for Energy Harvesting Devices with Outdated State Information

This paper considers utility optimal power control for energy harvesting...

0 Hao Yu, et al. ∙

research

∙ 08/12/2017

Online Convex Optimization with Stochastic Constraints

This paper considers online convex optimization (OCO) with stochastic co...

0 Hao Yu, et al. ∙

research

∙ 05/05/2017

S-OHEM: Stratified Online Hard Example Mining for Object Detection

One of the major challenges in object detection is to propose detectors ...

0 Minne Li, et al. ∙

research

∙ 02/20/2017

A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks

FPGA-based hardware accelerators for convolutional neural networks (CNNs...

0 Yixing Li, et al. ∙

research

∙ 12/12/2016

A Binary Convolutional Encoder-decoder Network for Real-time Natural Scene Text Processing

In this paper, we develop a binary convolutional encoder-decoder network...

0 Zichuan Liu, et al. ∙

research

∙ 04/08/2016

A Low Complexity Algorithm with O(√(T)) Regret and Finite Constraint Violations for Online Convex Optimization with Long Term Constraints

This paper considers online convex optimization over a complicated const...

0 Hao Yu, et al. ∙

Hao Yu

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