b'Chen Lin'

research

∙ 07/15/2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph

Large language models (LLMs) have made significant strides in various ta...

0 Jiashuo Sun, et al. ∙

research

∙ 05/27/2023

Graph Inductive Biases in Transformers without Message Passing

Transformers for graph data are increasingly widely studied and successf...

0 Liheng Ma, et al. ∙

research

∙ 04/23/2023

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models

Large language models (LLMs) can achieve highly effective performance on...

0 Jiashuo Sun, et al. ∙

research

∙ 03/29/2023

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Many natural language processing (NLP) tasks rely on labeled data to tra...

0 Xingwei He, et al. ∙

research

∙ 01/09/2023

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

We identify and overcome two key obstacles in extending the success of B...

1 Keyu Tian, et al. ∙

research

∙ 12/22/2022

GENIE: Large Scale Pre-training for Text Generation with Diffusion Model

In this paper, we propose a large-scale language pre-training for text G...

0 Zhenghao Lin, et al. ∙

research

∙ 12/14/2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

Long-form numerical reasoning in financial analysis aims to generate a r...

0 Jiashuo Sun, et al. ∙

research

∙ 11/09/2022

Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting

Real-time air pollution monitoring is a valuable tool for public health ...

10 Chen Lin, et al. ∙

research

∙ 11/09/2022

Unsupervised Extractive Summarization with Heterogeneous Graph Embeddings for Chinese Document

In the scenario of unsupervised extractive summarization, learning high-...

0 Chen Lin, et al. ∙

research

∙ 10/18/2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis

Most existing pre-trained language representation models (PLMs) are sub-...

9 Shuai Fan, et al. ∙

research

∙ 09/27/2022

PROD: Progressive Distillation for Dense Retrieval

Knowledge distillation is an effective way to transfer knowledge from a ...

7 Zhenghao Lin, et al. ∙

research

∙ 08/10/2022

Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation

Semantic segmentation is a popular research topic in computer vision, an...

7 Peng Ye, et al. ∙

research

∙ 07/28/2022

SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal Image

Vascular segmentation extracts blood vessels from images and serves as t...

10 Yan Hu, et al. ∙

research

∙ 07/17/2022

Fast-MoCo: Boost Momentum-based Contrastive Learning with Combinatorial Patches

Contrastive-based self-supervised learning methods achieved great succes...

8 Yuanzheng Ci, et al. ∙

research

∙ 06/23/2022

Shilling Black-box Recommender Systems by Learning to Generate Fake User Profiles

Due to the pivotal role of Recommender Systems (RS) in guiding customers...

10 Chen Lin, et al. ∙

research

∙ 06/06/2022

Contrastive Graph Multimodal Model for Text Classification in Videos

The extraction of text information in videos serves as a critical step t...

0 Ye Liu, et al. ∙

research

∙ 05/09/2022

Visual Encoding and Debiasing for CTR Prediction

Extracting expressive visual features is crucial for accurate Click-Thro...

0 Si Chen, et al. ∙

research

∙ 01/17/2022

UWC: Unit-wise Calibration Towards Rapid Network Compression

This paper introduces a post-training quantization (PTQ) method achievin...

0 Chen Lin, et al. ∙

research

∙ 08/16/2021

BN-NAS: Neural Architecture Search with Batch Normalization

We present BN-NAS, neural architecture search with Batch Normalization (...

0 Boyu Chen, et al. ∙

research

∙ 08/07/2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing

In this paper, we observe two levels of redundancies when applying visio...

0 Boyu Chen, et al. ∙

research

∙ 07/07/2021

GLiT: Neural Architecture Search for Global and Local Image Transformer

We introduce the first Neural Architecture Search (NAS) method to find a...

0 Boyu Chen, et al. ∙

research

∙ 03/14/2021

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Automatic code summarization frees software developers from the heavy bu...

0 Chen Lin, et al. ∙

research

∙ 02/13/2021

Sequential Recommendation in Online Games with Multiple Sequences, Tasks and User Levels

Online gaming is a multi-billion-dollar industry, which is growing faste...

0 Si Chen, et al. ∙

research

∙ 12/25/2020

Inception Convolution with Efficient Dilation Search

Dilation convolution is a critical mutant of standard convolution neural...

0 Jie Liu, et al. ∙

research

∙ 12/12/2020

DETR for Pedestrian Detection

Pedestrian detection in crowd scenes poses a challenging problem due to ...

0 Matthieu Lin, et al. ∙

research

∙ 11/22/2020

Evolving Search Space for Neural Architecture Search

The automation of neural architecture design has been a coveted alternat...

0 Yuanzheng Ci, et al. ∙

research

∙ 11/02/2020

PV-NAS: Practical Neural Architecture Search for Video Recognition

Recently, deep learning has been utilized to solve video recognition pro...

0 Zihao Wang, et al. ∙

research

∙ 10/21/2020

Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...

0 Jie Liu, et al. ∙

research

∙ 10/09/2020

Once Quantized for All: Progressively Searching for Quantized Efficient Models

Automatic search of Quantized Neural Networks has attracted a lot of att...

0 Mingzhu Shen, et al. ∙

research

∙ 09/30/2020

Improving Auto-Augment via Augmentation-Wise Weight Sharing

The recent progress on automatically searching augmentation policies has...

6 Keyu Tian, et al. ∙

research

∙ 05/21/2020

Powering One-shot Topological NAS with Stabilized Share-parameter Proxy

One-shot NAS method has attracted much interest from the research commun...

5 Ronghao Guo, et al. ∙

research

∙ 05/17/2020

Attacking Recommender Systems with Augmented User Profiles

Recommendation Systems (RS) have become an essential part of many online...

0 Chen Lin, et al. ∙

research

∙ 12/24/2019

Computation Reallocation for Object Detection

The allocation of computation resources in the backbone is a crucial iss...

27 Feng Liang, et al. ∙

research

∙ 11/12/2019

FLEN: Leveraging Field for Scalable CTR Prediction

Click-Through Rate (CTR) prediction has been an indispensable component ...

0 Wenqiang Chen, et al. ∙

research

∙ 10/06/2019

Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...

15 Xiang Li, et al. ∙

research

∙ 05/17/2019

AM-LFS: AutoML for Loss Function Search

Designing an effective loss function plays an important role in visual a...

7 Chuming Li, et al. ∙

research

∙ 05/17/2019

Online Hyper-parameter Learning for Auto-Augmentation Strategy

Data augmentation is critical to the success of modern deep learning tec...

6 Chen Lin, et al. ∙

research

∙ 11/06/2018

Synaptic Strength For Convolutional Neural Network

Convolutional Neural Networks(CNNs) are both computation and memory inte...

2 Chen Lin, et al. ∙

Chen Lin

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