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05/21/2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
We investigate the online bandit learning of the monotone multi-linear D...
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04/25/2023
Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction
Streaming graphs are drawing increasing attention in both academic and i...
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08/30/2022
Improved Deterministic Algorithms for Non-monotone Submodular Maximization
Submodular maximization is one of the central topics in combinatorial op...
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05/30/2022
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
Multi-arm bandit (MAB) and stochastic linear bandit (SLB) are important ...
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12/07/2021
GaTector: A Unified Framework for Gaze Object Prediction
Gaze object prediction (GOP) is a newly proposed task that aims to disco...
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10/27/2021
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity
Object detection has achieved promising success, but requires large-scal...
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09/13/2021
Online Influence Maximization with Node-level Feedback Using Standard Offline Oracles
We study the online influence maximization (OIM) problem in social netwo...
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08/03/2021
Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Vision transformers have recently received explosive popularity, but the...
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06/07/2021
Network Inference and Influence Maximization from Samples
Influence maximization is the task of selecting a small number of seed n...
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02/08/2021
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Sparsity in Deep Neural Networks (DNNs) has been widely studied to compr...
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07/06/2020
Optimization from Structured Samples for Coverage Functions
We revisit the optimization from samples (OPS) model, which studies the ...
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03/25/2020
Tight Algorithms for the Submodular Multiple Knapsack Problem
Submodular function maximization has been a central topic in the theoret...
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01/19/2020
Learning Compositional Neural Information Fusion for Human Parsing
This work proposes to combine neural networks with the compositional hie...
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07/25/2019
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. However, m...
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07/11/2019