b'Ting Chen'

research

∙ 09/11/2023

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

With the development of blockchain technology, smart contracts have beco...

0 Chong Chen, et al. ∙

research

∙ 05/22/2023

FIT: Far-reaching Interleaved Transformers

We present FIT: a transformer-based architecture with efficient self-att...

0 Ting Chen, et al. ∙

research

∙ 05/11/2023

SigRec: Automatic Recovery of Function Signatures in Smart Contracts

Millions of smart contracts have been deployed onto Ethereum for providi...

0 Ting Chen, et al. ∙

research

∙ 04/06/2023

Towards an Effective and Efficient Transformer for Rain-by-snow Weather Removal

Rain-by-snow weather removal is a specialized task in weather-degraded i...

0 Tao Gao, et al. ∙

research

∙ 01/26/2023

On the Importance of Noise Scheduling for Diffusion Models

We empirically study the effect of noise scheduling strategies for denoi...

0 Ting Chen, et al. ∙

research

∙ 01/05/2023

Bubble or Not: Measurements, Analyses, and Findings on the Ethereum ERC721 and ERC1155 Non-fungible Token Ecosystem

The non-fungible token (NFT) is an emergent type of cryptocurrency that ...

0 Yixiang Tan, et al. ∙

research

∙ 12/22/2022

Scalable Adaptive Computation for Iterative Generation

We present the Recurrent Interface Network (RIN), a neural net architect...

0 Allan Jabri, et al. ∙

research

∙ 12/07/2022

An automated approach to extracting positive and negative clinical research results

Failure is common in clinical trials since the successful failures prese...

0 Xuanyu Shi, et al. ∙

research

∙ 11/21/2022

DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection

Visual anomaly detection, an important problem in computer vision, is us...

0 Xuan Zhang, et al. ∙

research

∙ 11/02/2022

AntFuzzer: A Grey-Box Fuzzing Framework for EOSIO Smart Contracts

In the past few years, several attacks against the vulnerabilities of EO...

0 Jianfei Zhou, et al. ∙

research

∙ 10/12/2022

A Generalist Framework for Panoptic Segmentation of Images and Videos

Panoptic segmentation assigns semantic and instance ID labels to every p...

0 Ting Chen, et al. ∙

research

∙ 08/08/2022

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

We present Bit Diffusion: a simple and generic approach for generating d...

4 Ting Chen, et al. ∙

research

∙ 08/03/2022

Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data

Time series anomaly detection (TSAD) is an important data mining task wi...

0 Wenkai Li, et al. ∙

research

∙ 07/12/2022

DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization

Recent algorithms designed for reinforcement learning tasks focus on fin...

0 Wenze Chen, et al. ∙

research

∙ 06/15/2022

A Unified Sequence Interface for Vision Tasks

While language tasks are naturally expressed in a single, unified, model...

6 Ting Chen, et al. ∙

research

∙ 06/08/2022

Scalable Online Disease Diagnosis via Multi-Model-Fused Actor-Critic Reinforcement Learning

For those seeking healthcare advice online, AI based dialogue agents cap...

0 Weijie He, et al. ∙

research

∙ 05/23/2022

Decoder Denoising Pretraining for Semantic Segmentation

Semantic segmentation labels are expensive and time consuming to acquire...

4 Emmanuel Brempong Asiedu, et al. ∙

research

∙ 05/19/2022

Robust and Efficient Medical Imaging with Self-Supervision

Recent progress in Medical Artificial Intelligence (AI) has delivered sy...

24 Shekoofeh Azizi, et al. ∙

research

∙ 02/08/2022

SNPSFuzzer: A Fast Greybox Fuzzer for Stateful Network Protocols using Snapshots

Greybox fuzzing has been widely used in stateless programs and has achie...

0 Junqiang Li, et al. ∙

research

∙ 11/24/2021

Auto robust relative radiometric normalization via latent change noise modelling

Relative radiometric normalization(RRN) of different satellite images of...

13 Shiqi Liu, et al. ∙

research

∙ 11/01/2021

Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling

Contrastive learning approaches have achieved great success in learning ...

0 Ziyu Jiang, et al. ∙

research

∙ 10/15/2021

Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation

We investigate the robustness of vision transformers (ViTs) through the ...

27 Yao Qin, et al. ∙

research

∙ 10/09/2021

TiKick: Toward Playing Multi-agent Football Full Games from Single-agent Demonstrations

Deep reinforcement learning (DRL) has achieved super-human performance o...

0 Shiyu Huang, et al. ∙

research

∙ 10/08/2021

Ranking Cost: Building An Efficient and Scalable Circuit Routing Planner with Evolution-Based Optimization

Circuit routing has been a historically challenging problem in designing...

0 Shiyu Huang, et al. ∙

research

∙ 09/22/2021

Pix2seq: A Language Modeling Framework for Object Detection

This paper presents Pix2Seq, a simple and generic framework for object d...

11 Ting Chen, et al. ∙

research

∙ 09/10/2021

MURAL: Multimodal, Multitask Retrieval Across Languages

Both image-caption pairs and translation pairs provide the means to lear...

0 Aashi Jain, et al. ∙

research

∙ 06/16/2021

iBatch: Saving Ethereum Fees via Secure and Cost-Effective Batching of Smart-Contract Invocations

This paper presents iBatch, a middleware system running on top of an ope...

0 Yibo Wang, et al. ∙

research

∙ 06/14/2021

Improved Transformer for High-Resolution GANs

Attention-based models, exemplified by the Transformer, can effectively ...

18 Long Zhao, et al. ∙

research

∙ 05/26/2021

Aggregating Nested Transformers

Although hierarchical structures are popular in recent vision transforme...

9 Zizhao Zhang, et al. ∙

research

∙ 05/01/2021

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts

Ethereum holds multiple billions of U.S. dollars in the form of Ether cr...

0 Nikolay Ivanov, et al. ∙

research

∙ 04/14/2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Learning to predict the long-term future of video frames is notoriously ...

1 Wonkwang Lee, et al. ∙

research

∙ 01/13/2021

Big Self-Supervised Models Advance Medical Image Classification

Self-supervised pretraining followed by supervised fine-tuning has seen ...

22 Shekoofeh Azizi, et al. ∙

research

∙ 12/02/2020

CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum

As the most popular blockchain that supports smart contracts, there are ...

0 Xiaoqi Li, et al. ∙

research

∙ 12/02/2020

FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks

Automatic self-diagnosis provides low-cost and accessible healthcare via...

0 Weijie He, et al. ∙

research

∙ 11/05/2020

Intriguing Properties of Contrastive Losses

Contrastive loss and its variants have become very popular recently for ...

14 Ting Chen, et al. ∙

research

∙ 10/30/2020

What's in a Loss Function for Image Classification?

It is common to use the softmax cross-entropy loss to train neural netwo...

31 Simon Kornblith, et al. ∙

research

∙ 10/26/2020

Robust Pre-Training by Adversarial Contrastive Learning

Recent work has shown that, when integrated with adversarial training, s...

0 Ziyu Jiang, et al. ∙

research

∙ 10/22/2020

Graph Contrastive Learning with Augmentations

Generalizable, transferrable, and robust representation learning on grap...

13 Yuning You, et al. ∙

research

∙ 09/06/2020

DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode

Smart contracts are Turing-complete programs running on the blockchain. ...

0 Jiachi Chen, et al. ∙

research

∙ 09/01/2020

Characterizing Erasable Accounts in Ethereum

Being the most popular permissionless blockchain that supports smart con...

0 Xiaoqi Li, et al. ∙

research

∙ 07/19/2020

STAN: Towards Describing Bytecodes of Smart Contract

More than eight million smart contracts have been deployed into Ethereum...

1 Xiaoqi Li, et al. ∙

research

∙ 06/17/2020

Big Self-Supervised Models are Strong Semi-Supervised Learners

One paradigm for learning from few labeled examples while making best us...

6 Ting Chen, et al. ∙

research

∙ 06/04/2020

Image Augmentations for GAN Training

Data augmentations have been widely studied to improve the accuracy and ...

18 Zhengli Zhao, et al. ∙

research

∙ 02/13/2020

A Simple Framework for Contrastive Learning of Visual Representations

This paper presents SimCLR: a simple framework for contrastive learning ...

13 Ting Chen, et al. ∙

research

∙ 01/21/2020

Understanding Why Neural Networks Generalize Well Through GSNR of Parameters

As deep neural networks (DNNs) achieve tremendous success across many ap...

8 Jinlong Liu, et al. ∙

research

∙ 08/26/2019

Differentiable Product Quantization for End-to-End Embedding Compression

Embedding layer is commonly used to map discrete symbols into continuous...

4 Ting Chen, et al. ∙

research

∙ 07/01/2019

Few-Shot Representation Learning for Out-Of-Vocabulary Words

Existing approaches for learning word embeddings often assume there are ...

0 Ziniu Hu, et al. ∙

research

∙ 05/31/2019

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction

Graph neural networks (GNNs) are shown to be successful in modeling appl...

2 Ziniu Hu, et al. ∙

research

∙ 05/27/2019

An Optimal Game Approach for Heterogeneous Vehicular Network Selection with Varying Network Performance

Most conventional heterogeneous network selection strategies applied in ...

0 Xiangmo Zhao, et al. ∙

research

∙ 05/11/2019

Dissecting Graph Neural Networks on Graph Classification

Graph Neural Nets (GNNs) have received increasing attentions, partially ...

0 Ting Chen, et al. ∙

Ting Chen

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