b'Zhe Wang'

research

∙ 07/28/2022

Identifying and Exploiting Sparse Branch Correlations for Optimizing Branch Prediction

Branch prediction is arguably one of the most important speculative mech...

Anastasios Zouzias, et al. ∙

research

∙ 07/22/2022

Cell-Free Massive MIMO with Multi-Antenna Users over Weichselberger Rician Channels

We consider a cell-free massive multiple-input multiple-output (MIMO) sy...

Xin Li, et al. ∙

research

∙ 07/15/2022

WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation

Existing few-shot image generation approaches typically employ fusion-ba...

Mengping Yang, et al. ∙

research

∙ 06/30/2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

We introduce DeepNash, an autonomous agent capable of learning to play t...

Julien Perolat, et al. ∙

research

∙ 05/31/2022

A Competitive Method for Dog Nose-print Re-identification

Vision-based pattern identification (such as face, fingerprint, iris etc...

Fei Shen, et al. ∙

research

∙ 05/30/2022

Towards Efficient 3D Object Detection with Knowledge Distillation

Despite substantial progress in 3D object detection, advanced 3D detecto...

Jihan Yang, et al. ∙

research

∙ 05/25/2022

Maximising the Influence of Temporary Participants in Opinion Formation

DeGroot-style opinion formation presumes a continuous interaction among ...

Zhiqiang Zhuang, et al. ∙

research

∙ 05/01/2022

The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation

Nonparametric based methods have recently shown promising results in rec...

Zhe Wang, et al. ∙

research

∙ 03/04/2022

AgileWatts: An Energy-Efficient CPU Core Idle-State Architecture for Latency-Sensitive Server Applications

User-facing applications running in modern datacenters exhibit irregular...

Jawad Haj-Yahya, et al. ∙

research

∙ 01/27/2022

Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO

In this paper, we investigate a cell-free massive MIMO system with both ...

Zhe Wang, et al. ∙

research

∙ 12/28/2021

Online Adversarial Distillation for Graph Neural Networks

Knowledge distillation has recently become a popular technique to improv...

Can Wang, et al. ∙

research

∙ 12/09/2021

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach

Recently, records on stereo matching benchmarks are constantly broken by...

Xiao Song, et al. ∙

research

∙ 10/12/2021

Uplink Performance of Cell-Free Massive MIMO Over Spatially Correlated Rician Fading Channels

We consider a practical cell-free massive multiple-input-multiple-output...

Zhe Wang, et al. ∙

research

∙ 10/11/2021

Uplink Performance of Cell-Free Massive MIMO with Multi-Antenna Users Over Jointly-Correlated Rayleigh Fading Channels

In this paper, we investigate a cell-free massive MIMO system with both ...

Zhe Wang, et al. ∙

research

∙ 09/27/2021

ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning

Optimization-based meta-learning typically assumes tasks are sampled fro...

Zhe Wang, et al. ∙

research

∙ 09/24/2021

Long-Range Transformers for Dynamic Spatiotemporal Forecasting

Multivariate Time Series Forecasting (TSF) focuses on the prediction of ...

Jake Grigsby, et al. ∙

research

∙ 09/15/2021

Learning Dynamical Human-Joint Affinity for 3D Pose Estimation in Videos

Graph Convolution Network (GCN) has been successfully used for 3D human ...

Junhao Zhang, et al. ∙

research

∙ 09/14/2021

Gibbs posterior inference on a Levy density under discrete sampling

In mathematical finance, Levy processes are widely used for their abilit...

Zhe Wang, et al. ∙

research

∙ 08/26/2021

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

In this paper, we present a denoising sequence-to-sequence (seq2seq) aut...

Chujie Zheng, et al. ∙

research

∙ 08/15/2021

ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection

In this paper, we present a self-training method, named ST3D++, with a h...

Jihan Yang, et al. ∙

research

∙ 08/09/2021

A Credibility-aware Swarm-Federated Deep Learning Framework in Internet of Vehicles

Federated Deep Learning (FDL) is helping to realize distributed machine ...

Zhe Wang, et al. ∙

research

∙ 08/04/2021

Reconstructing a dynamical system and forecasting time series by self-consistent deep learning

We introduce a self-consistent deep-learning framework which, for a nois...

Zhe Wang, et al. ∙

research

∙ 07/18/2021

SpecBox: A Label-Based Transparent Speculation Scheme Against Transient Execution Attacks

Speculative execution techniques have been a cornerstone of modern proce...

Bowen Tang, et al. ∙

research

∙ 06/13/2021

Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling

With the development of federated learning (FL), mobile devices (MDs) ar...

Shunfeng Chu, et al. ∙

research

∙ 06/08/2021

Time-series Imputation of Temporally-occluded Multiagent Trajectories

In multiagent environments, several decision-making individuals interact...

Shayegan Omidshafiei, et al. ∙

research

∙ 05/25/2021

From Motor Control to Team Play in Simulated Humanoid Football

Intelligent behaviour in the physical world exhibits structure at multip...

Siqi Liu, et al. ∙

research

∙ 03/16/2021

PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos

The end-to-end Human Mesh Recovery (HMR) approach has been successfully ...

Tianyu Luan, et al. ∙

research

∙ 03/09/2021

ST3D: Self-training for Unsupervised Domain Adaptation on 3D ObjectDetection

We present a new domain adaptive self-training pipeline, named ST3D, for...

Jihan Yang, et al. ∙

research

∙ 03/03/2021

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG

Understanding relationships between feature variables is one important w...

Arshdeep Sekhon, et al. ∙

research

∙ 03/02/2021

Network Pruning via Resource Reallocation

Channel pruning is broadly recognized as an effective approach to obtain...

Yuenan Hou, et al. ∙

research

∙ 02/20/2021

SoftTRR: Protect Page Tables Against RowHammer Attacks using Software-only Target Row Refresh

Rowhammer attacks that corrupt level-1 page tables to gain kernel privil...

Zhi Zhang, et al. ∙

research

∙ 02/06/2021

FFConv: Fast Factorized Neural Network Inference on Encrypted Data

Homomorphic Encryption (HE), allowing computations on encrypted data (ci...

Yuxiao Lu, et al. ∙

research

∙ 01/31/2021

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

3D object detection is receiving increasing attention from both industry...

Shaoshuai Shi, et al. ∙

research

∙ 12/23/2020

Multi-Modality Cut and Paste for 3D Object Detection

Three-dimensional (3D) object detection is essential in autonomous drivi...

Wenwei Zhang, et al. ∙

research

∙ 12/01/2020

A Multi-intersection Vehicular Cooperative Control based on End-Edge-Cloud Computing

Cooperative Intelligent Transportation Systems (C-ITS) will change the m...

Mingzhi Jiang, et al. ∙

research

∙ 11/27/2020

Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving

The strong demand of autonomous driving in the industry has lead to stro...

Zhenxun Yuan, et al. ∙

research

∙ 11/20/2020

FLAVA: Find, Localize, Adjust and Verify to Annotate LiDAR-Based Point Clouds

Recent years have witnessed the rapid progress of perception algorithms ...

Tai Wang, et al. ∙

research

∙ 11/18/2020

Game Plan: What AI can do for Football, and What Football can do for AI

The rapid progress in artificial intelligence (AI) and machine learning ...

Karl Tuyls, et al. ∙

research

∙ 10/27/2020

Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications

Reinforcement Learning (RL) is widely utilized in the field of robotics,...

Bin Xu, et al. ∙

research

∙ 10/27/2020

Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle

Propulsion system electrification revolution has been undergoing in the ...

Bin Xu, et al. ∙

research

∙ 10/19/2020

The Detection of Thoracic Abnormalities ChestX-Det10 Challenge Results

The detection of thoracic abnormalities challenge is organized by the De...

Jie Lian, et al. ∙

research

∙ 08/24/2020

Exploit Camera Raw Data for Video Super-Resolution via Hidden Markov Model Inference

To the best of our knowledge, the existing deep-learning-based Video Sup...

Xiaohong Liu, et al. ∙

research

∙ 08/09/2020

Spectral Algorithms for Community Detection in Directed Networks

Community detection in large social networks is affected by degree heter...

Zhe Wang, et al. ∙

research

∙ 08/04/2020

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

State-of-the-art methods for large-scale driving-scene LiDAR semantic se...

Hui Zhou, et al. ∙

research

∙ 07/31/2020

COLD: Towards the Next Generation of Pre-Ranking System

Multi-stage cascade architecture exists widely in many industrial system...

Zhe Wang, et al. ∙

research

∙ 06/21/2020

Weak Supervision and Referring Attention for Temporal-Textual Association Learning

A system capturing the association between video frames and textual quer...

Zhiyuan Fang, et al. ∙

research

∙ 06/16/2020

Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization

Min-max optimization captures many important machine learning problems s...

Tengyu Xu, et al. ∙

research

∙ 06/12/2020

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

Due to its simplicity and outstanding ability to generalize, stochastic ...

Xunpeng Huang, et al. ∙

research

∙ 06/12/2020

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

Adaptive gradient methods have attracted much attention of machine learn...

Xunpeng Huang, et al. ∙

research

∙ 06/10/2020

Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction

Rich user behavior data has been proven to be of great value for click-t...

Pi Qi, et al. ∙

Zhe Wang

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