b'Yuan Xie'

research

∙ 08/03/2023

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment

3D panoptic segmentation is a challenging perception task that requires ...

0 Zhiwei Zhang, et al. ∙

research

∙ 06/12/2023

Underwater Acoustic Target Recognition based on Smoothness-inducing Regularization and Spectrogram-based Data Augmentation

Underwater acoustic target recognition is a challenging task owing to th...

0 Ji Xu, et al. ∙

research

∙ 05/31/2023

Underwater-Art: Expanding Information Perspectives With Text Templates For Underwater Acoustic Target Recognition

Underwater acoustic target recognition is an intractable task due to the...

0 Yuan Xie, et al. ∙

research

∙ 05/31/2023

Learning Music Sequence Representation from Text Supervision

Music representation learning is notoriously difficult for its complex h...

0 Tianyu Chen, et al. ∙

research

∙ 05/31/2023

Adaptive ship-radiated noise recognition with learnable fine-grained wavelet transform

Analyzing the ocean acoustic environment is a tricky task. Background no...

0 Yuan Xie, et al. ∙

research

∙ 04/24/2023

Advancing underwater acoustic target recognition via adaptive data pruning and smoothness-inducing regularization

Underwater acoustic recognition for ship-radiated signals has high pract...

0 Yuan Xie, et al. ∙

research

∙ 04/18/2023

NPS: A Framework for Accurate Program Sampling Using Graph Neural Network

With the end of Moore's Law, there is a growing demand for rapid archite...

0 Yuanwei Fang, 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

∙ 03/14/2023

Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks

Reasoning high-level abstractions from bit-blasted Boolean networks (BNs...

0 Nan Wu, et al. ∙

research

∙ 02/07/2023

High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets

The last decades are marked by massive and diverse image data, which sho...

0 Yanbo Wang, et al. ∙

research

∙ 12/09/2022

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

Existing methods for large-scale point cloud semantic segmentation requi...

0 Yachao Zhang, et al. ∙

research

∙ 11/16/2022

AdaTriplet-RA: Domain Matching via Adaptive Triplet and Reinforced Attention for Unsupervised Domain Adaptation

Unsupervised domain adaption (UDA) is a transfer learning task where the...

0 Xinyao Shu, et al. ∙

research

∙ 11/10/2022

A Comprehensive Survey on Distributed Training of Graph Neural Networks

Graph neural networks (GNNs) have been demonstrated to be a powerful alg...

0 Haiyang Lin, et al. ∙

research

∙ 11/02/2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective

Few-shot learning problem focuses on recognizing unseen classes given a ...

0 Jinxiang Lai, et al. ∙

research

∙ 10/29/2022

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler

Pipelining between data loading and computation is a critical tensor pro...

0 Guyue Huang, et al. ∙

research

∙ 09/23/2022

Faith: An Efficient Framework for Transformer Verification on GPUs

Transformer verification draws increasing attention in machine learning ...

0 Boyuan Feng, et al. ∙

research

∙ 09/16/2022

Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning

Weakly supervised point cloud semantic segmentation methods that require...

0 Tianfang Sun, et al. ∙

research

∙ 09/05/2022

Prototype-Aware Heterogeneous Task for Point Cloud Completion

Point cloud completion, which aims at recovering original shape informat...

0 Junshu Tang, et al. ∙

research

∙ 08/31/2022

Attentive pooling for Group Activity Recognition

In group activity recognition, hierarchical framework is widely adopted ...

0 Ding Li, et al. ∙

research

∙ 08/30/2022

Boosting Night-time Scene Parsing with Learnable Frequency

Night-Time Scene Parsing (NTSP) is essential to many vision applications...

1 Zhifeng Xie, et al. ∙

research

∙ 08/11/2022

MILAN: Masked Image Pretraining on Language Assisted Representation

Self-attention based transformer models have been dominating many comput...

0 Zejiang Hou, et al. ∙

research

∙ 08/09/2022

Characterizing and Understanding HGNNs on GPUs

Heterogeneous graph neural networks (HGNNs) deliver powerful capacity in...

0 Mingyu Yan, et al. ∙

research

∙ 07/28/2022

Predicting the Output Structure of Sparse Matrix Multiplication with Sampled Compression Ratio

Sparse general matrix multiplication (SpGEMM) is a fundamental building ...

0 Zhaoyang Du, et al. ∙

research

∙ 07/19/2022

MoEC: Mixture of Expert Clusters

Sparsely Mixture of Experts (MoE) has received great interest due to its...

0 Yuan Xie, et al. ∙

research

∙ 07/15/2022

Multi-node Acceleration for Large-scale GCNs

Limited by the memory capacity and compute power, singe-node graph convo...

0 Gongjian Sun, et al. ∙

research

∙ 06/20/2022

Variational Distillation for Multi-View Learning

Information Bottleneck (IB) based multi-view learning provides an inform...

0 Xudong Tian, et al. ∙

research

∙ 06/15/2022

Cost-Aware Exploration for Chiplet-Based Architecture with Advanced Packaging Technologies

The chiplet-based System-in-Package (SiP) technology enables more design...

0 Tianqi Tang, et al. ∙

research

∙ 06/15/2022

OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs

Sparse general matrix multiplication (SpGEMM) is an important and expens...

1 Zhaoyang Du, et al. ∙

research

∙ 06/14/2022

Accelerating CPU-Based Sparse General Matrix Multiplication With Binary Row Merging

Sparse general matrix multiplication (SpGEMM) is a fundamental building ...

1 Zhaoyang Du, et al. ∙

research

∙ 06/04/2022

The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition

Action recognition is an exciting research avenue for artificial intelli...

6 Zihao Zhao, et al. ∙

research

∙ 06/01/2022

Task-Specific Expert Pruning for Sparse Mixture-of-Experts

The sparse Mixture-of-Experts (MoE) model is powerful for large-scale pr...

0 Tianyu Chen, et al. ∙

research

∙ 04/12/2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation

As spiking neural networks (SNNs) are deployed increasingly in real-worl...

0 Ling Liang, et al. ∙

research

∙ 03/31/2022

LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints

Point cloud completion aims at completing geometric and topological shap...

0 Junshu Tang, et al. ∙

research

∙ 03/09/2022

Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning

Weight pruning in deep neural networks (DNNs) can reduce storage and com...

0 Guyue Huang, et al. ∙

research

∙ 02/28/2022

Dynamic N:M Fine-grained Structured Sparse Attention Mechanism

Transformers are becoming the mainstream solutions for various tasks lik...

0 Zhaodong Chen, et al. ∙

research

∙ 02/23/2022

Alleviating Datapath Conflicts and Design Centralization in Graph Analytics Acceleration

Previous graph analytics accelerators have achieved great improvement on...

0 Haiyang Lin, et al. ∙

research

∙ 02/10/2022

Survey on Graph Neural Network Acceleration: An Algorithmic Perspective

Graph neural networks (GNNs) have been a hot spot of recent research and...

0 Xin Liu, et al. ∙

research

∙ 01/20/2022

Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information

Despite the stride made by machine learning (ML) based performance model...

5 Nan Wu, et al. ∙

research

∙ 01/18/2022

High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing

Agile hardware development requires fast and accurate circuit quality ev...

6 Nan Wu, et al. ∙

research

∙ 12/21/2021

Structured Semantic Transfer for Multi-Label Recognition with Partial Labels

Multi-label image recognition is a fundamental yet practical task becaus...

0 Tianshui Chen, et al. ∙

research

∙ 12/21/2021

Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting

Deep neural networks (DNNs) have shown to provide superb performance in ...

0 Minghai Qin, et al. ∙

research

∙ 12/20/2021

Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks

Deep neural networks (DNNs) have been proven to be effective in solving ...

0 Fei Sun, et al. ∙

research

∙ 11/26/2021

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms

Variational quantum algorithms are expected to demonstrate the advantage...

0 Anbang Wu, et al. ∙

research

∙ 11/26/2021

Mapping Surface Code to Superconducting Quantum Processors

In this paper, we formally describe the three challenges of mapping surf...

0 Anbang Wu, et al. ∙

research

∙ 11/26/2021

QECV: Quantum Error Correction Verification

Quantum Error Correction (QEC) is essential for fault-tolerant quantum c...

0 Anbang Wu, et al. ∙

research

∙ 11/25/2021

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training

Variational quantum algorithms are expected to demonstrate the advantage...

0 Anbang Wu, et al. ∙

research

∙ 11/25/2021

Exploring Versatile Prior for Human Motion via Motion Frequency Guidance

Prior plays an important role in providing the plausible constraint on h...

0 Jiachen Xu, et al. ∙

research

∙ 10/21/2021

Transformer Acceleration with Dynamic Sparse Attention

Transformers are the mainstream of NLP applications and are becoming inc...

0 Liu Liu, et al. ∙

research

∙ 09/13/2021

Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation

Circuit design is complicated and requires extensive domain-specific exp...

6 Nan Wu, et al. ∙

research

∙ 07/25/2021

H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks

Although spiking neural networks (SNNs) take benefits from the bio-plaus...

0 Ling Liang, et al. ∙

Yuan Xie

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