228 citations · 2.2k across the 99 of their papers we have counts for
23 papers · 1 filter
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
Wuyang Chen, Xianzhi Du, Fan Yang +8
This work presents a simple vision transformer design as a strong baseline for object localization and instance segmentation tasks. Transformers recently demonstrate competitive pe…
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Xiang Bai, Hanchen Wang, Liya Ma +43
Artificial intelligence (AI) provides a promising substitution for streamlining COVID-19 diagnoses. However, concerns surrounding security and trustworthiness impede the collection…
Defense Against Explanation Manipulation
Ruixiang Tang, Ninghao Liu, Fan Yang +2
Explainable machine learning attracts increasing attention as it improves transparency of models, which is helpful for machine learning to be trusted in real applications. However,…
Autonomous Exploration Development Environment and the Planning Algorithms
Chao Cao, Hongbiao Zhu, Fan Yang +4
Autonomous Exploration Development Environment is an open-source repository released to facilitate the development of high-level planning algorithms and integration of complete aut…
FAR Planner: Fast, Attemptable Route Planner using Dynamic Visibility Update
Fan Yang, Chao Cao, Hongbiao Zhu +2
The problem of path planning in unknown environments remains a challenging problem - as the environment is gradually observed during the navigation, the underlying planner has to u…
Actuarial-consistency and two-step actuarial valuations: a new paradigm to insurance valuation
Karim Barigou, Daniël Linders, Fan Yang
This paper introduces new valuation schemes called actuarial-consistent valuations for insurance liabilities which depend on both financial and actuarial risks, which imposes that…
Adaptive Label Smoothing To Regularize Large-Scale Graph Training
Kaixiong Zhou, Ninghao Liu, Fan Yang +5
Graph neural networks (GNNs), which learn the node representations by recursively aggregating information from its neighbors, have become a predominant computational tool in many d…
Density-Based Dynamic Curriculum Learning for Intent Detection
Yantao Gong, Cao Liu, Jiazhen Yuan +6
Pre-trained language models have achieved noticeable performance on the intent detection task. However, due to assigning an identical weight to each sample, they suffer from the ov…
The Endokernel: Fast, Secure, and Programmable Subprocess Virtualization
Bumjin Im, Fangfei Yang, Chia-Che Tsai +3
Commodity applications contain more and more combinations of interacting components (user, application, library, and system) and exhibit increasingly diverse tradeoffs between isol…
Post-Treatment Confounding in Causal Mediation Studies: A Cutting-Edge Problem and A Novel Solution via Sensitivity Analysis
Guanglei Hong, Fan Yang, Xu Qin
In causal mediation studies that decompose an average treatment effect into a natural indirect effect (NIE) and a natural direct effect (NDE), examples of post-treatment confoundin…
Ultra strong and ductile eutectic high entropy alloy fabricated by selective laser melting
Fan Yang, Lilin Wang, Zhijun Wang +4
With important application prospects, eutectic high entropy alloys have received extensive attention for their excellent strength and ductility in a large temperature range. The ex…
Delocalization and quantum diffusion of random band matrices in high dimensions II: -expansion
Fan Yang, Horng-Tzer Yau, Jun Yin
We consider Green's functions of Hermitian random band matrices on the -dimensional lattice . The entries o…
Model-Based Counterfactual Synthesizer for Interpretation
Fan Yang, Sahan Suresh Alva, Jiahao Chen +1
Counterfactuals, serving as one of the emerging type of model interpretations, have recently received attention from both researchers and practitioners. Counterfactual explanations…
MlTr: Multi-label Classification with Transformer
Xing Cheng, Hezheng Lin, Xiangyu Wu +5
The task of multi-label image classification is to recognize all the object labels presented in an image. Though advancing for years, small objects, similar objects and objects wit…
CAT: Cross Attention in Vision Transformer
Hezheng Lin, Xing Cheng, Xiangyu Wu +5
Since Transformer has found widespread use in NLP, the potential of Transformer in CV has been realized and has inspired many new approaches. However, the computation required for…
Launchpad: A Programming Model for Distributed Machine Learning Research
Fan Yang, Gabriel Barth-Maron, Piotr Stańczyk +5
A major driver behind the success of modern machine learning algorithms has been their ability to process ever-larger amounts of data. As a result, the use of distributed systems i…
Calibrating multi-dimensional complex ODE from noisy data via deep neural networks
Kexuan Li, Fangfang Wang, Ruiqi Liu +2
Ordinary differential equations (ODEs) are widely used to model complex dynamics that arises in biology, chemistry, engineering, finance, physics, etc. Calibration of a complicated…
Towards Compact CNNs via Collaborative Compression
Yuchao Li, Shaohui Lin, Jianzhuang Liu +7
Channel pruning and tensor decomposition have received extensive attention in convolutional neural network compression. However, these two techniques are traditionally deployed in…
CT-Net: Complementary Transfering Network for Garment Transfer with Arbitrary Geometric Changes
Fan Yang, Guosheng Lin
Garment transfer shows great potential in realistic applications with the goal of transfering outfits across different people images. However, garment transfer between images with…
Mutual Graph Learning for Camouflaged Object Detection
Qiang Zhai, Xin Li, Fan Yang +3
Automatically detecting/segmenting object(s) that blend in with their surroundings is difficult for current models. A major challenge is that the intrinsic similarities between suc…
Delocalization and quantum diffusion of random band matrices in high dimensions I: Self-energy renormalization
Fan Yang, Horng-Tzer Yau, Jun Yin
We consider Hermitian random band matrices on the -dimensional lattice . The entries are independent (up to Hermitian conditions)…
Graph-Based Topological Exploration Planning in Large-Scale 3D Environments
Fan Yang, Dung-Han Lee, John Keller +1
Currently, state-of-the-art exploration methods maintain high-resolution map representations in order to optimize exploration goals in each step that maximizes information gain. Ho…
CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning
Chen Wei, Kihyuk Sohn, Clayton Mellina +2
Semi-supervised learning on class-imbalanced data, although a realistic problem, has been under studied. While existing semi-supervised learning (SSL) methods are known to perform…