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09/17/2023
CryoAlign: feature-based method for global and local 3D alignment of EM density maps
Advances on cryo-electron imaging technologies have led to a rapidly inc...
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09/13/2023
DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision
The goal of low-light image enhancement is to restore the color and deta...
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09/06/2023
Automated Bioinformatics Analysis via AutoBA
With the fast-growing and evolving omics data, the demand for streamline...
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08/25/2023
Discovering Mental Health Research Topics with Topic Modeling
Mental health significantly influences various aspects of our daily live...
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08/24/2023
SkipcrossNets: Adaptive Skip-cross Fusion for Road Detection
Multi-modal fusion is increasingly being used for autonomous driving tas...
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07/20/2023
PE-YOLO: Pyramid Enhancement Network for Dark Object Detection
Current object detection models have achieved good results on many bench...
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06/19/2023
Path to Medical AGI: Unify Domain-specific Medical LLMs with the Lowest Cost
Medical artificial general intelligence (AGI) is an emerging field that ...
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06/15/2023
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
ChatGPT has drawn considerable attention from both the general public an...
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06/01/2023
Improving the Robustness of Summarization Systems with Dual Augmentation
A robust summarization system should be able to capture the gist of the ...
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06/01/2023
DeSAM: Decoupling Segment Anything Model for Generalizable Medical Image Segmentation
Deep learning based automatic medical image segmentation models often su...
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05/25/2023
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents
Ensuring the reliability and availability of cloud services necessitates...
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05/19/2023
A Topic-aware Summarization Framework with Different Modal Side Information
Automatic summarization plays an important role in the exponential docum...
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04/23/2023
Informative Data Selection with Uncertainty for Multi-modal Object Detection
Noise has always been nonnegligible trouble in object detection by creat...
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04/21/2023
SkinGPT: A Dermatology Diagnostic System with Vision Large Language Model
Skin and subcutaneous diseases are among the major causes of the nonfata...
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04/07/2023
Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge
Efficient automatic segmentation of multi-level (i.e. main and branch) p...
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02/20/2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI
Heterogeneous data is endemic due to the use of diverse models and setti...
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02/20/2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
Revoking personal private data is one of the basic human rights, which h...
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01/14/2023
Drug Synergistic Combinations Predictions via Large-Scale Pre-Training and Graph Structure Learning
Drug combination therapy is a well-established strategy for disease trea...
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01/13/2023
Multi-Target Landmark Detection with Incomplete Images via Reinforcement Learning and Shape Prior
Medical images are generally acquired with limited field-of-view (FOV), ...
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12/13/2022
Towards Efficient and Domain-Agnostic Evasion Attack with High-dimensional Categorical Inputs
Our work targets at searching feasible adversarial perturbation to attac...
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12/13/2022
AdvCat: Domain-Agnostic Robustness Assessment for Cybersecurity-Critical Applications with Categorical Inputs
Machine Learning-as-a-Service systems (MLaaS) have been largely develope...
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11/12/2022
Prediction of Geometric Transformation on Cardiac MRI via Convolutional Neural Network
In the field of medical image, deep convolutional neural networks(ConvNe...
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11/06/2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Proper functioning of connected and automated vehicles (CAVs) is crucial...
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10/04/2022
Towards Improving Faithfulness in Abstractive Summarization
Despite the success achieved in neural abstractive summarization based o...
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09/21/2022
Machine Learning on generalized Complete Intersection Calabi-Yau Manifolds
Generalized Complete Intersection Calabi-Yau Manifold (gCICY) is a new c...
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07/26/2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Previous works for LiDAR-based 3D object detection mainly focus on the s...
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06/23/2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
The success of deep neural networks greatly relies on the availability o...
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06/23/2022
Learning Towards the Largest Margins
One of the main challenges for feature representation in deep learning-b...
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05/24/2022
Context Attention Network for Skeleton Extraction
Skeleton extraction is a task focused on providing a simple representati...
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12/14/2021
Weakly Supervised High-Fidelity Clothing Model Generation
The development of online economics arouses the demand of generating ima...
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07/28/2021
Shape Controllable Virtual Try-on for Underwear Models
Image virtual try-on task has abundant applications and has become a hot...
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07/26/2021
Protein-RNA interaction prediction with deep learning: Structure matters
Protein-RNA interactions are of vital importance to a variety of cellula...
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07/19/2021
Double Similarity Distillation for Semantic Image Segmentation
The balance between high accuracy and high speed has always been a chall...
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06/16/2021
2nd Place Solution for Waymo Open Dataset Challenge – Real-time 2D Object Detection
In an autonomous driving system, it is essential to recognize vehicles, ...
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06/06/2021
Asymmetric Loss Functions for Learning with Noisy Labels
Robust loss functions are essential for training deep neural networks wi...
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03/02/2021
A Data-Centric Framework for Composable NLP Workflows
Empirical natural language processing (NLP) systems in application domai...
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10/28/2020
Object sieving and morphological closing to reduce false detections in wide-area aerial imagery
For object detection in wide-area aerial imagery, post-processing is usu...
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08/01/2020
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective
For state-of-the-art network function virtualization (NFV) systems, it r...
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08/01/2020
PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems
In multi-tiered fog computing systems, to accelerate the processing of c...
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08/01/2020
Green Offloading in Fog-Assisted IoT Systems: An Online Perspective Integrating Learning and Control
In fog-assisted IoT systems, it is a common practice to offload tasks fr...
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08/01/2020
Data-Driven Bandit Learning for Proactive Cache Placement in Fog-Assisted IoT Systems
In Fog-assisted IoT systems, it is a common practice to cache popular co...
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08/01/2020
Online VNF Chaining and Predictive Scheduling: Optimality and Trade-offs
For NFV systems, the key design space includes the function chaining for...
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08/01/2020
Online User-AP Association with Predictive Scheduling in Wireless Caching Networks
For wireless caching networks, the scheme design for content delivery is...
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07/30/2020
Decomposition of the Total Effect for Two Mediators: A Natural Counterfactual Interaction Effect Framework
Mediation analysis has been used in many disciplines to explain the mech...
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06/18/2020
SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic
Since the first alert launched by the World Health Organization (5 Janua...
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06/09/2020
Learning to Stop While Learning to Predict
There is a recent surge of interest in designing deep architectures base...
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04/13/2020
Decomposition of Total Effect with the Notion of Natural Counterfactual Interaction Effect
Mediation analysis serves as a crucial tool to obtain causal inference b...
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04/03/2020
Disassembling Object Representations without Labels
In this paper, we study a new representation-learning task, which we ter...
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04/02/2020
Bayesian model selection approach for colored graphical Gaussian models
We consider a class of colored graphical Gaussian models obtained by pla...
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03/20/2020
