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09/11/2023
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
With the development of blockchain technology, smart contracts have beco...
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05/22/2023
FIT: Far-reaching Interleaved Transformers
We present FIT: a transformer-based architecture with efficient self-att...
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05/11/2023
SigRec: Automatic Recovery of Function Signatures in Smart Contracts
Millions of smart contracts have been deployed onto Ethereum for providi...
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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...
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01/26/2023
On the Importance of Noise Scheduling for Diffusion Models
We empirically study the effect of noise scheduling strategies for denoi...
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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 ...
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12/22/2022
Scalable Adaptive Computation for Iterative Generation
We present the Recurrent Interface Network (RIN), a neural net architect...
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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...
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11/21/2022
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
Visual anomaly detection, an important problem in computer vision, is us...
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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...
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10/12/2022
A Generalist Framework for Panoptic Segmentation of Images and Videos
Panoptic segmentation assigns semantic and instance ID labels to every p...
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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...
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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...
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07/12/2022
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
Recent algorithms designed for reinforcement learning tasks focus on fin...
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06/15/2022
A Unified Sequence Interface for Vision Tasks
While language tasks are naturally expressed in a single, unified, model...
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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...
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05/23/2022
Decoder Denoising Pretraining for Semantic Segmentation
Semantic segmentation labels are expensive and time consuming to acquire...
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05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
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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...
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11/24/2021
Auto robust relative radiometric normalization via latent change noise modelling
Relative radiometric normalization(RRN) of different satellite images of...
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11/01/2021
Improving Contrastive Learning on Imbalanced Seed Data via Open-World Sampling
Contrastive learning approaches have achieved great success in learning ...
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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 ...
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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...
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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...
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09/22/2021
Pix2seq: A Language Modeling Framework for Object Detection
This paper presents Pix2Seq, a simple and generic framework for object d...
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09/10/2021
MURAL: Multimodal, Multitask Retrieval Across Languages
Both image-caption pairs and translation pairs provide the means to lear...
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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...
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06/14/2021
Improved Transformer for High-Resolution GANs
Attention-based models, exemplified by the Transformer, can effectively ...
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05/26/2021
Aggregating Nested Transformers
Although hierarchical structures are popular in recent vision transforme...
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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...
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04/14/2021
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Learning to predict the long-term future of video frames is notoriously ...
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01/13/2021
Big Self-Supervised Models Advance Medical Image Classification
Self-supervised pretraining followed by supervised fine-tuning has seen ...
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12/02/2020
CLUE: Towards Discovering Locked Cryptocurrencies in Ethereum
As the most popular blockchain that supports smart contracts, there are ...
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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...
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11/05/2020
Intriguing Properties of Contrastive Losses
Contrastive loss and its variants have become very popular recently for ...
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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...
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10/26/2020
Robust Pre-Training by Adversarial Contrastive Learning
Recent work has shown that, when integrated with adversarial training, s...
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10/22/2020
Graph Contrastive Learning with Augmentations
Generalizable, transferrable, and robust representation learning on grap...
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09/06/2020
DEFECTCHECKER: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode
Smart contracts are Turing-complete programs running on the blockchain. ...
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09/01/2020
Characterizing Erasable Accounts in Ethereum
Being the most popular permissionless blockchain that supports smart con...
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07/19/2020
STAN: Towards Describing Bytecodes of Smart Contract
More than eight million smart contracts have been deployed into Ethereum...
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06/17/2020
Big Self-Supervised Models are Strong Semi-Supervised Learners
One paradigm for learning from few labeled examples while making best us...
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06/04/2020
Image Augmentations for GAN Training
Data augmentations have been widely studied to improve the accuracy and ...
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02/13/2020
A Simple Framework for Contrastive Learning of Visual Representations
This paper presents SimCLR: a simple framework for contrastive learning ...
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01/21/2020
Understanding Why Neural Networks Generalize Well Through GSNR of Parameters
As deep neural networks (DNNs) achieve tremendous success across many ap...
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08/26/2019
Differentiable Product Quantization for End-to-End Embedding Compression
Embedding layer is commonly used to map discrete symbols into continuous...
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07/01/2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Existing approaches for learning word embeddings often assume there are ...
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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...
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05/27/2019
An Optimal Game Approach for Heterogeneous Vehicular Network Selection with Varying Network Performance
Most conventional heterogeneous network selection strategies applied in ...
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05/11/2019