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04/03/2023
Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
Deep neural networks have made huge progress in the last few decades. Ho...
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01/18/2023
Relaxed Graph Color Bound for the Maximum k-plex Problem
As a relaxation of the clique, a k-plex of a graph is a vertex set that ...
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11/29/2022
Incorporating Multi-armed Bandit with Local Search for MaxSAT
Partial MaxSAT (PMS) and Weighted PMS (WPMS) are two practical generaliz...
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07/08/2022
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems
TSP is a classical NP-hard combinatorial optimization problem with many ...
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01/14/2022
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit
We address Partial MaxSAT (PMS) and Weighted PMS (WPMS), two practical g...
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12/14/2021
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval
Nowadays on E-commerce platforms, products are presented to the customer...
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12/08/2020
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
We address the Traveling Salesman Problem (TSP), a famous NP-hard combin...
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01/22/2020
Stochastic Item Descent Method for Large Scale Equal Circle Packing Problem
Stochastic gradient descent (SGD) is a powerful method for large-scale o...
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03/13/2019
Effective reinforcement learning based local search for the maximum k-plex problem
The maximum k-plex problem is a computationally complex problem, which e...
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09/27/2018
Being Corrupt Requires Being Clever, But Detecting Corruption Doesn't
We consider a variation of the problem of corruption detection on networ...
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05/02/2018
KNPTC: Knowledge and Neural Machine Translation Powered Chinese Pinyin Typo Correction
Chinese pinyin input methods are very important for Chinese language pro...
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11/29/2017
