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09/01/2023
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion
This paper introduces Laminar, a novel serverless framework based on dis...
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07/24/2023
DeepGATGO: A Hierarchical Pretraining-Based Graph-Attention Model for Automatic Protein Function Prediction
Automatic protein function prediction (AFP) is classified as a large-sca...
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07/12/2023
Correlation-Aware Mutual Learning for Semi-supervised Medical Image Segmentation
Semi-supervised learning has become increasingly popular in medical imag...
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06/21/2023
Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
In this paper, we study representation learning in partially observable ...
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05/29/2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
In this paper, we study offline Reinforcement Learning with Human Feedba...
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05/16/2023
Truthful Fair Mechanisms for Allocating Mixed Divisible and Indivisible Goods
We study the problem of designing truthful and fair mechanisms when allo...
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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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04/27/2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Discovering inter-point connection for efficient high-dimensional featur...
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04/21/2023
The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination
With the launch of ChatGPT, Large Language Models (LLMs) are shaking up ...
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04/03/2023
DiffuRec: A Diffusion Model for Sequential Recommendation
Mainstream solutions to Sequential Recommendation (SR) represent items w...
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02/16/2023
Sample-Based Online Generalized Assignment Problem with Unknown Poisson Arrivals
We study an edge-weighted online stochastic Generalized Assignment Probl...
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01/07/2023
Dynamic Local Feature Aggregation for Learning on Point Clouds
Existing point cloud learning methods aggregate features from neighbouri...
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11/29/2022
Fair Division with Prioritized Agents
We consider the fair division problem of indivisible items. It is well-k...
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11/25/2022
Latent Space Diffusion Models of Cryo-EM Structures
Cryo-electron microscopy (cryo-EM) is unique among tools in structural b...
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11/25/2022
Generative Modeling in Structural-Hankel Domain for Color Image Inpainting
In recent years, some researchers focused on using a single image to obt...
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11/04/2022
Significance improvement by randomized test in random sampling without replacement
This paper studies one-sided hypothesis testing under random sampling wi...
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10/11/2022
Fair and Efficient Multi-Resource Allocation for Cloud Computing
We study the problem of allocating multiple types of resources to agents...
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10/06/2022
Lyapunov Function Consistent Adaptive Network Signal Control with Back Pressure and Reinforcement Learning
This research studies the network traffic signal control problem. It use...
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09/29/2022
Generalized matrix nearness problems
We show that the global minimum solution of ‖ A - BXC ‖ can be found in ...
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06/17/2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs
Class activation map (CAM) has been widely studied for visual explanatio...
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05/28/2022
On the Complexity of Maximizing Social Welfare within Fair Allocations of Indivisible Goods
Fair division is a classical topic studied in various disciplines and ca...
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04/10/2022
Confidence Estimation Transformer for Long-term Renewable Energy Forecasting in Reinforcement Learning-based Power Grid Dispatching
The expansion of renewable energy could help realizing the goals of peak...
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04/02/2022
Recordism: A social-scientific prospect of blockchain from social, legal, financial, and technological perspectives
Blockchain has the potential to reform the architecture of cyberspace an...
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03/16/2022
Metaverse Native Communication: A Blockchain and Spectrum Prospective
Metaverse depicts a vista of constructing a virtual environment parallel...
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01/05/2022
Advancing 3D Medical Image Analysis with Variable Dimension Transform based Supervised 3D Pre-training
The difficulties in both data acquisition and annotation substantially r...
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09/02/2021
Variable Augmented Network for Invertible Modality Synthesis-Fusion
As an effective way to integrate the information contained in multiple m...
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12/16/2020
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices
Universal lesion detection from computed tomography (CT) slices is impor...
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11/16/2019
Fair Division of Mixed Divisible and Indivisible Goods
We study the problem of fair division when the resources contain both di...
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09/10/2019
MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Universal lesion detection (ULD) on computed tomography (CT) images is a...
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09/02/2019
Implicit Progressive-Iterative Approximation for Curve and Surface Reconstruction
Implicit curve and surface reconstruction attracts the attention of many...
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12/18/2017