b'Shuo Yang'

research

∙ 09/19/2023

Learning Adaptive Safety for Multi-Agent Systems

Ensuring safety in dynamic multi-agent systems is challenging due to lim...

0 Luigi Berducci, et al. ∙

research

∙ 09/18/2023

Reducing Adversarial Training Cost with Gradient Approximation

Deep learning models have achieved state-of-the-art performances in vari...

0 Huihui Gong, et al. ∙

research

∙ 08/31/2023

Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery

When taking images against strong light sources, the resulting images of...

0 Yuyan Zhou, et al. ∙

research

∙ 08/01/2023

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-grained Intrusion Detection

Deep learning-based fine-grained network intrusion detection systems (NI...

0 xinran zheng, et al. ∙

research

∙ 07/09/2023

A Lightweight Approach for Network Intrusion Detection based on Self-Knowledge Distillation

Network Intrusion Detection (NID) works as a kernel technology for the s...

0 Shuo Yang, et al. ∙

research

∙ 06/11/2023

Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications

There has been growing interest in deep reinforcement learning (DRL) alg...

0 Jiangwei Wang, et al. ∙

research

∙ 05/25/2023

Definition and Detection of Defects in NFT Smart Contracts

Recently, the birth of non-fungible tokens (NFTs) has attracted great at...

0 Shuo Yang, et al. ∙

research

∙ 05/24/2023

Towards Understanding Crypto Money Laundering in Web3 Through the Lenses of Ethereum Heists

With the overall momentum of the blockchain industry, crypto-based crime...

0 Dan Lin, et al. ∙

research

∙ 05/08/2023

Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach

Matrix manifolds, such as manifolds of Symmetric Positive Definite (SPD)...

0 Xuan Son NGuyen, et al. ∙

research

∙ 04/27/2023

SLoMo: A General System for Legged Robot Motion Imitation from Casual Videos

We present SLoMo: a first-of-its-kind framework for transferring skilled...

0 John Z. Zhang, et al. ∙

research

∙ 04/01/2023

Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction

We consider perception-based control using state estimates that are obta...

0 Shuo Yang, et al. ∙

research

∙ 03/22/2023

BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency

As one of the most fundamental techniques in multimodal learning, cross-...

0 Shuo Yang, et al. ∙

research

∙ 03/01/2023

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Imitation learning has been widely applied to various autonomous systems...

0 Xiatao Sun, et al. ∙

research

∙ 02/28/2023

Rethink Long-tailed Recognition with Vision Transforms

In the real world, data tends to follow long-tailed distributions w.r.t....

0 Zhengzhuo Xu, et al. ∙

research

∙ 01/09/2023

Γ-convergent LDG method for large bending deformations of bilayer plates

Bilayer plates are slender structures made of two thin layers of differe...

0 Andrea Bonito, et al. ∙

research

∙ 12/11/2022

CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization

The hyperparameter optimization of neural network can be expressed as a ...

0 Shuo Yang, et al. ∙

research

∙ 12/05/2022

Learning Imbalanced Data with Vision Transformers

The real-world data tends to be heavily imbalanced and severely skew the...

0 Zhengzhuo Xu, et al. ∙

research

∙ 12/01/2022

Towards Explainability in Modular Autonomous Vehicle Software

Safety-critical Autonomous Systems require trustworthy and transparent d...

0 Hongrui Zheng, et al. ∙

research

∙ 10/24/2022

Social norms of fairness with reputation-based role assignment in the dictator game

A vast body of experiments share the view that social norms are major fa...

0 Qing Li, et al. ∙

research

∙ 10/06/2022

Reduced Membrane Model for Liquid Crystal Polymer Networks: Asymptotics and Computation

We examine a reduced membrane model of liquid crystal polymer networks (...

0 Lucas Bouck, et al. ∙

research

∙ 09/29/2022

A Benchmark Comparison of Imitation Learning-based Control Policies for Autonomous Racing

Autonomous racing with scaled race cars has gained increasing attention ...

0 Xiatao Sun, et al. ∙

research

∙ 09/27/2022

Towards Regression-Free Neural Networks for Diverse Compute Platforms

With the shift towards on-device deep learning, ensuring a consistent be...

0 Rahul Duggal, et al. ∙

research

∙ 09/20/2022

Differentiable Safe Controller Design through Control Barrier Functions

Learning-based controllers, such as neural network (NN) controllers, can...

0 Shuo Yang, et al. ∙

research

∙ 09/19/2022

Toward Understanding Privileged Features Distillation in Learning-to-Rank

In learning-to-rank problems, a privileged feature is one that is availa...

0 Shuo Yang, et al. ∙

research

∙ 09/16/2022

Cerberus: Low-Drift Visual-Inertial-Leg Odometry For Agile Locomotion

We present an open-source Visual-Inertial-Leg Odometry (VILO) state esti...

0 Shuo Yang, et al. ∙

research

∙ 09/10/2022

Convergent FEM for a membrane model of liquid crystal polymer networks

We design a finite element method (FEM) for a membrane model of liquid c...

0 Lucas Bouck, et al. ∙

research

∙ 07/27/2022

Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce

E-commerce has gone a long way in empowering merchants through the inter...

0 Borui Ye, et al. ∙

research

∙ 05/19/2022

Dataset Pruning: Reducing Training Data by Examining Generalization Influence

The great success of deep learning heavily relies on increasingly larger...

104 Shuo Yang, et al. ∙

research

∙ 05/12/2022

Entity-aware and Motion-aware Transformers for Language-driven Action Localization in Videos

Language-driven action localization in videos is a challenging task that...

0 Shuo Yang, et al. ∙

research

∙ 04/30/2022

Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels

Learning with noisy labels has aroused much research interest since data...

0 Kai Wang, et al. ∙

research

∙ 03/03/2022

CAFE: Learning to Condense Dataset by Aligning Features

Dataset condensation aims at reducing the network training effort throug...

23 Kai Wang, et al. ∙

research

∙ 03/01/2022

An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022

Temporal link prediction, as one of the most crucial work in temporal gr...

0 Qian Zhao, et al. ∙

research

∙ 02/24/2022

Sample Efficiency of Data Augmentation Consistency Regularization

Data augmentation is popular in the training of large neural networks; c...

7 Shuo Yang, et al. ∙

research

∙ 12/13/2021

Semantically Contrastive Learning for Low-light Image Enhancement

Low-light image enhancement (LLE) remains challenging due to the unfavor...

28 Dong Liang, et al. ∙

research

∙ 12/02/2021

PartImageNet: A Large, High-Quality Dataset of Parts

A part-based object understanding facilitates efficient compositional le...

18 Ju He, et al. ∙

research

∙ 10/09/2021

Does Preprocessing Help Training Over-parameterized Neural Networks?

Deep neural networks have achieved impressive performance in many areas....

0 Zhao Song, et al. ∙

research

∙ 10/08/2021

Speeding up Deep Model Training by Sharing Weights and Then Unsharing

We propose a simple and efficient approach for training the BERT model. ...

7 Shuo Yang, et al. ∙

research

∙ 10/06/2021

Objects in Semantic Topology

A more realistic object detection paradigm, Open-World Object Detection,...

0 Shuo Yang, et al. ∙

research

∙ 07/06/2021

Semi-TCL: Semi-Supervised Track Contrastive Representation Learning

Online tracking of multiple objects in videos requires strong capacity o...

0 Wei Li, et al. ∙

research

∙ 06/25/2021

Numerical analysis of the LDG method for large deformations of prestrained plates

A local discontinuous Galerkin (LDG) method for approximating large defo...

0 Andrea Bonito, et al. ∙

research

∙ 05/13/2021

Compatibility-aware Heterogeneous Visual Search

We tackle the problem of visual search under resource constraints. Exist...

11 Rahul Duggal, et al. ∙

research

∙ 04/07/2021

Optimal Control for Structurally Sparse Systems using Graphical Inference

Dynamical systems with a distributed yet interconnected structure, like ...

0 Roshan Pradhan, et al. ∙

research

∙ 03/25/2021

Gamma-convergent projection-free finite element methods for nematic liquid crystals: The Ericksen model

The Ericksen model for nematic liquid crystals couples a director field ...

0 Ricardo H. Nochetto, et al. ∙

research

∙ 03/13/2021

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

While convolutional neural networks (CNNs) have significantly boosted th...

40 Jiahao Xia, et al. ∙

research

∙ 03/03/2021

Combinatorial Bandits without Total Order for Arms

We consider the combinatorial bandits problem, where at each time step, ...

5 Shuo Yang, et al. ∙

research

∙ 03/03/2021

Linear Bandit Algorithms with Sublinear Time Complexity

We propose to accelerate existing linear bandit algorithms to achieve pe...

18 Shuo Yang, et al. ∙

research

∙ 02/25/2021

CelebA-Spoof Challenge 2020 on Face Anti-Spoofing: Methods and Results

As facial interaction systems are prevalently deployed, security and rel...

0 Yuanhan Zhang, et al. ∙

research

∙ 02/18/2021

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

This paper reports methods and results in the DeeperForensics Challenge ...

12 Liming Jiang, et al. ∙

research

∙ 02/08/2021

SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning

Word alignment is essential for the down-streaming cross-lingual languag...

0 Di Wu, et al. ∙

research

∙ 01/16/2021

Free Lunch for Few-shot Learning: Distribution Calibration

Learning from a limited number of samples is challenging since the learn...

0 Shuo Yang, et al. ∙

Shuo Yang

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