b'Wei Zhang'

research

∙ 08/10/2022

Multi-View Pre-Trained Model for Code Vulnerability Identification

Vulnerability identification is crucial for cyber security in the softwa...

Xuxiang Jiang, et al. ∙

research

∙ 07/25/2022

AutoCellLibX: Automated Standard Cell Library Extension Based on Pattern Mining

Custom standard cell libraries can improve the final quality of the corr...

Tingyuan Liang, et al. ∙

research

∙ 07/15/2022

Weakly Supervised Video Salient Object Detection via Point Supervision

Video salient object detection models trained on pixel-wise dense annota...

Shuyong Gao, et al. ∙

research

∙ 07/12/2022

Effective Few-Shot Named Entity Linking by Meta-Learning

Entity linking aims to link ambiguous mentions to their corresponding en...

Xiuxing Li, et al. ∙

research

∙ 07/07/2022

Polytopic Planar Region Characterization of Rough Terrains for Legged Locomotion

This paper studies the problem of constructing polytopic representations...

Zhi Xu, et al. ∙

research

∙ 07/02/2022

Unsupervised Recurrent Federated Learning for Edge Popularity Prediction in Privacy-Preserving Mobile Edge Computing Networks

Nowadays wireless communication is rapidly reshaping entire industry sec...

Chong Zheng, et al. ∙

research

∙ 06/30/2022

DynamicFilter: an Online Dynamic Objects Removal Framework for Highly Dynamic Environments

Emergence of massive dynamic objects will diversify spatial structures w...

Tingxiang Fan, et al. ∙

research

∙ 06/27/2022

Video2StyleGAN: Encoding Video in Latent Space for Manipulation

Many recent works have been proposed for face image editing by leveragin...

Jiyang Yu, et al. ∙

research

∙ 05/20/2022

DELMAR: Deep Linear Matrix Approximately Reconstruction to Extract Hierarchical Functional Connectivity in the Human Brain

The Matrix Decomposition techniques have been a vital computational appr...

Wei Zhang, et al. ∙

research

∙ 05/20/2022

DEMAND: Deep Matrix Approximately NonlinearDecomposition to Identify Meta, Canonical, and Sub-Spatial Pattern of functional Magnetic Resonance Imaging in the Human Brain

Deep Neural Networks (DNNs) have already become a crucial computational ...

Wei Zhang, et al. ∙

research

∙ 05/20/2022

SADAM: Stochastic Adam, A Stochastic Operator for First-Order Gradient-based Optimizer

In this work, to efficiently help escape the stationary and saddle point...

Wei Zhang, et al. ∙

research

∙ 05/19/2022

Dynamic Clustering and Power Control for Two-Tier Wireless Federated Learning

Federated learning (FL) has been recognized as a promising distributed l...

Wei Guo, et al. ∙

research

∙ 05/19/2022

Joint Device Selection and Power Control for Wireless Federated Learning

This paper studies the joint device selection and power control scheme f...

Wei Guo, et al. ∙

research

∙ 04/22/2022

Data-Efficient Backdoor Attacks

Recent studies have proven that deep neural networks are vulnerable to b...

Pengfei Xia, et al. ∙

research

∙ 04/16/2022

On Safety Testing, Validation, and Characterization with Scenario-Sampling: A Case Study of Legged Robots

The dynamic response of the legged robot locomotion is non-Lipschitz and...

Bowen Weng, et al. ∙

research

∙ 04/16/2022

MMV-Based Sequential AoA and AoD Estimation for Millimeter Wave MIMO Channels

The fact that the millimeter-wave (mmWave) multiple-input multiple-outpu...

Wei Zhang, et al. ∙

research

∙ 04/11/2022

Towards Generalizable Semantic Product Search by Text Similarity Pre-training on Search Click Logs

Recently, semantic search has been successfully applied to e-commerce pr...

Zheng Liu, et al. ∙

research

∙ 03/25/2022

Point2Seq: Detecting 3D Objects as Sequences

We present a simple and effective framework, named Point2Seq, for 3D obj...

Yujing Xue, et al. ∙

research

∙ 03/23/2022

Transformer-based Multimodal Information Fusion for Facial Expression Analysis

Facial expression analysis has been a crucial research problem in the co...

Wei Zhang, et al. ∙

research

∙ 03/22/2022

Weakly-Supervised Salient Object Detection Using Point Supervison

Current state-of-the-art saliency detection models rely heavily on large...

Shuyong Gao, et al. ∙

research

∙ 03/17/2022

FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos

Current benchmarks for facial expression recognition (FER) mainly focus ...

Yan Wang, et al. ∙

research

∙ 03/15/2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Contemporary deep-learning object detection methods for autonomous drivi...

Kaican Li, et al. ∙

research

∙ 03/14/2022

A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances

Affective computing plays a key role in human-computer interactions, ent...

Yan Wang, et al. ∙

research

∙ 03/11/2022

Visualizing and Understanding Patch Interactions in Vision Transformer

Vision Transformer (ViT) has become a leading tool in various computer v...

Jie Ma, et al. ∙

research

∙ 03/05/2022

A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection

In this paper, we introduce VCSL (Video Copy Segment Localization), a ne...

Sifeng He, et al. ∙

research

∙ 03/04/2022

Freeform Body Motion Generation from Speech

People naturally conduct spontaneous body motions to enhance their speec...

Jing Xu, et al. ∙

research

∙ 03/04/2022

Class-Aware Contrastive Semi-Supervised Learning

Pseudo-label-based semi-supervised learning (SSL) has achieved great suc...

Fan Yang, et al. ∙

research

∙ 03/02/2022

PKGM: A Pre-trained Knowledge Graph Model for E-commerce Application

In recent years, knowledge graphs have been widely applied as a uniform ...

Wen Zhang, et al. ∙

research

∙ 02/14/2022

Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework

This paper presents a large-scale Chinese cross-modal dataset for benchm...

Jiaxi Gu, et al. ∙

research

∙ 02/07/2022

A comprehensive benchmark analysis for sand dust image reconstruction

Numerous sand dust image enhancement algorithms have been proposed in re...

Yazhong Si, et al. ∙

research

∙ 01/28/2022

Quadruped Capturability and Push Recovery via a Switched-Systems Characterization of Dynamic Balance

This paper studies capturability and push recovery for quadrupedal locom...

Hua Chen, et al. ∙

research

∙ 01/25/2022

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

Power estimation is the basis of many hardware optimization strategies. ...

Zhe Lin, et al. ∙

research

∙ 01/22/2022

An Unsupervised Deep Unrolling Framework for Constrained Optimization Problems in Wireless Networks

In wireless network, the optimization problems generally have complex co...

Shiwen He, et al. ∙

research

∙ 01/04/2022

A new simple dynamic muscle fatigue model and its validation

Musculoskeletal disorder (MSD) is one of the major health problems in ph...

Liang Ma, et al. ∙

research

∙ 01/04/2022

What Hinders Perceptual Quality of PSNR-oriented Methods?

In this paper, we discover two factors that inhibit POMs from achieving ...

Tianshuo Xu, et al. ∙

research

∙ 12/31/2021

Data-Free Knowledge Transfer: A Survey

In the last decade, many deep learning models have been well trained and...

Yuang Liu, et al. ∙

research

∙ 12/27/2021

Responsive Listening Head Generation: A Benchmark Dataset and Baseline

Responsive listening during face-to-face conversations is a critical ele...

Mohan Zhou, et al. ∙

research

∙ 12/24/2021

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series

The matrix profile is an effective data mining tool that provides simila...

Chin-Chia Michael Yeh, et al. ∙

research

∙ 12/11/2021

A General Auxiliary Controller for Multi-agent Flocking

We aim to improve the performance of multi-agent flocking behavior by qu...

Jinfan Zhou, et al. ∙

research

∙ 12/10/2021

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization

Weakly supervised object localization (WSOL) aims to learn object locali...

Zhiwei Chen, et al. ∙

research

∙ 12/04/2021

PointCLIP: Point Cloud Understanding by CLIP

Recently, zero-shot and few-shot learning via Contrastive Vision-Languag...

Renrui Zhang, et al. ∙

research

∙ 12/04/2021

VT-CLIP: Enhancing Vision-Language Models with Visual-guided Texts

Contrastive Vision-Language Pre-training (CLIP) has drown increasing att...

Renrui Zhang, et al. ∙

research

∙ 12/02/2021

Multi-Domain Transformer-Based Counterfactual Augmentation for Earnings Call Analysis

Earnings call (EC), as a periodic teleconference of a publicly-traded co...

Zixuan Yuan, et al. ∙

research

∙ 12/01/2021

Optimizing for In-memory Deep Learning with Emerging Memory Technology

In-memory deep learning computes neural network models where they are st...

Zhehui Wang, et al. ∙

research

∙ 11/24/2021

Machine Learning Guided Cross-Contract Fuzzing

Smart contract transactions are increasingly interleaved by cross-contra...

Yinxing Xue, et al. ∙

research

∙ 11/06/2021

Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling

Contrastive Vision-Language Pre-training, known as CLIP, has provided a ...

Renrui Zhang, et al. ∙

research

∙ 10/26/2021

Directional Self-supervised Learning for Risky Image Augmentations

Only a few cherry-picked robust augmentation policies are beneficial to ...

Yalong Bai, et al. ∙

research

∙ 10/26/2021

ViDA-MAN: Visual Dialog with Digital Humans

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interacti...

Tong Shen, et al. ∙

research

∙ 10/25/2021

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning

Current visual question answering (VQA) tasks mainly consider answering ...

Pan Lu, et al. ∙

research

∙ 10/23/2021

Diving Into Blockchain's Weaknesses: An Empirical Study of Blockchain System Vulnerabilities

Blockchain is an emerging technology for its decentralization and the ca...

Xiao Yi, et al. ∙

Wei Zhang

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