b'Jiawei Liu'

research

∙ 05/05/2023

Low-Resource Multi-Granularity Academic Function Recognition Based on Multiple Prompt Knowledge

Fine-tuning pre-trained language models (PLMs), e.g., SciBERT, generally...

0 Jiawei Liu, et al. ∙

research

∙ 05/02/2023

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Program synthesis has been long studied with recent approaches focused o...

0 Jiawei Liu, et al. ∙

research

∙ 04/19/2023

Post-Training Quantization for Object Detection

Efficient inference for object detection networks is a major challenge o...

0 Lin Niu, 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

∙ 04/03/2023

RPTQ: Reorder-based Post-training Quantization for Large Language Models

Large-scale language models (LLMs) have demonstrated outstanding perform...

0 Zhihang Yuan, et al. ∙

research

∙ 04/02/2023

Abnormal Event Detection via Hypergraph Contrastive Learning

Abnormal event detection, which refers to mining unusual interactions am...

0 Bo Yan, et al. ∙

research

∙ 03/29/2023

Sounding Video Generator: A Unified Framework for Text-guided Sounding Video Generation

As a combination of visual and audio signals, video is inherently multi-...

0 Jiawei Liu, et al. ∙

research

∙ 03/23/2023

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance

Post-training quantization (PTQ) is a popular method for compressing dee...

0 Zhihang Yuan, et al. ∙

research

∙ 02/08/2023

Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving

Recent years have witnessed huge successes in 3D object detection to rec...

0 Jiawei Liu, et al. ∙

research

∙ 02/04/2023

NeuRI: Diversifying DNN Generation via Inductive Rule Inference

Deep Learning (DL) is prevalently used in various industries to improve ...

0 Jiawei Liu, et al. ∙

research

∙ 01/24/2023

Is This Abstract Generated by AI? A Research for the Gap between AI-generated Scientific Text and Human-written Scientific Text

BACKGROUND: Recent neural language models have taken a significant step ...

0 Yongqiang Ma, et al. ∙

research

∙ 12/14/2022

PD-Quant: Post-Training Quantization based on Prediction Difference Metric

As a neural network compression technique, post-training quantization (P...

0 Jiawei Liu, et al. ∙

research

∙ 09/14/2022

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural Ranking Models

Neural text ranking models have witnessed significant advancement and ar...

0 Jiawei Liu, et al. ∙

research

∙ 07/26/2022

Finding Deep-Learning Compilation Bugs with NNSmith

Deep-learning (DL) compilers such as TVM and TensorRT are increasingly u...

0 Jiawei Liu, et al. ∙

research

∙ 06/13/2022

Improve Ranking Correlation of Super-net through Training Scheme from One-shot NAS to Few-shot NAS

The algorithms of one-shot neural architecture search(NAS) have been wid...

0 Jiawei Liu, et al. ∙

research

∙ 06/10/2022

Label Noise-Resistant Mean Teaching for Weakly Supervised Fake News Detection

Fake news spreads at an unprecedented speed, reaches global audiences an...

0 Jingyi Xie, et al. ∙

research

∙ 05/27/2022

Task-load-Aware Game-Theoretic Framework for Wireless Federated Learning

Federated learning (FL) has been proposed as a popular learning framewor...

0 Jiawei Liu, et al. ∙

research

∙ 03/03/2022

Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification

RGB-infrared person re-identification is an emerging cross-modality re-i...

0 Zhipeng Huang, et al. ∙

research

∙ 03/03/2022

Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification

Generalizable person re-identification aims to learn a model with only s...

0 Jiawei Liu, et al. ∙

research

∙ 11/27/2021

Calibrated Feature Decomposition for Generalizable Person Re-Identification

Existing disentangled-based methods for generalizable person re-identifi...

4 Kecheng Zheng, et al. ∙

research

∙ 11/19/2021

Enhanced countering adversarial attacks via input denoising and feature restoring

Despite the fact that deep neural networks (DNNs) have achieved prominen...

0 Yanni Li, et al. ∙

research

∙ 09/17/2021

A Role-Selected Sharing Network for Joint Machine-Human Chatting Handoff and Service Satisfaction Analysis

Chatbot is increasingly thriving in different domains, however, because ...

0 Jiawei Liu, et al. ∙

research

∙ 08/26/2021

Fast and Flexible Human Pose Estimation with HyperPose

Estimating human pose is an important yet challenging task in multimedia...

0 Yixiao Guo, et al. ∙

research

∙ 08/25/2021

Evaluating Effects of Background Stories on Graph Perception

A graph is an abstract model that represents relations among entities, f...

0 Ying Zhao, et al. ∙

research

∙ 07/31/2021

Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification

Occluded person re-identification (ReID) aims to match person images wit...

8 Kecheng Zheng, et al. ∙

research

∙ 06/22/2021

Confidence-Aware Learning for Camouflaged Object Detection

Confidence-aware learning is proven as an effective solution to prevent ...

0 Jiawei Liu, et al. ∙

research

∙ 05/07/2021

Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification

Although existing person re-identification (Re-ID) methods have shown im...

0 Jiawei Liu, et al. ∙

research

∙ 04/15/2021

Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos

Video-based person re-identification aims to match pedestrians from vide...

0 Jiawei Liu, et al. ∙

research

∙ 04/15/2021

Learning structure-aware semantic segmentation with image-level supervision

Compared with expensive pixel-wise annotations, image-level labels make ...

0 Jiawei Liu, et al. ∙

research

∙ 03/04/2021

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

Semi-supervised learning on graphs is an important problem in the machin...

16 Cheng Yang, et al. ∙

research

∙ 12/14/2020

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff

Is chatbot able to completely replace the human agent? The short answer ...

0 Jiawei Liu, et al. ∙

research

∙ 10/05/2020

Automatic label correction based on CCESD

In the computer-aided diagnosis of cervical precancerous lesions, it is ...

0 Jiawei Liu, et al. ∙

research

∙ 09/09/2020

Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification

Video-based person re-identification aims to match a specific pedestrian...

2 Jiawei Liu, et al. ∙

research

∙ 06/29/2020

Decorrelated Clustering with Data Selection Bias

Most of existing clustering algorithms are proposed without considering ...

0 Xiao Wang, et al. ∙

research

∙ 06/26/2020

Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications

We present a spectral co-design of a statistical multiple-input-multiple...

0 Jiawei Liu, et al. ∙

research

∙ 05/06/2020

Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

Regular expression is important for many natural language processing tas...

6 Desheng Wang, et al. ∙

research

∙ 04/10/2020

Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos

Person re-identification aims at identifying a certain pedestrian across...

0 Jiawei Liu, et al. ∙

research

∙ 01/23/2019

Automated Essay Scoring based on Two-Stage Learning

Current state-of-art feature-engineered and end-to-end Automated Essay S...

0 Jiawei Liu, et al. ∙

research

∙ 11/19/2018

CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification

Person re-identification aims to identify the same pedestrian across non...

4 Jiawei Liu, et al. ∙

research

∙ 11/08/2018

A First Look at Deep Learning Apps on Smartphones

We are in the dawn of deep learning explosion for smartphones. To bridge...

0 Mengwei Xu, et al. ∙

research

∙ 11/08/2018

When Mobile Apps Going Deep: An Empirical Study of Mobile Deep Learning

Deep learning (DL) is a game-changing technique in mobile scenarios, as ...

0 Mengwei Xu, et al. ∙

research

∙ 01/10/2017

Implicitly Incorporating Morphological Information into Word Embedding

In this paper, we propose three novel models to enhance word embedding b...

0 Yang Xu, et al. ∙

Jiawei Liu

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