activity
20182025
most citedThe Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

7 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2025

DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs

Yubo Shu, Zhewei Huang, Xin Wu +3

We propose DialogueReason, a reasoning paradigm that uncovers the lost roles in monologue-style reasoning models, aiming to boost diversity and coherency of the reasoning process.…

cs.CR2024

Recent Advances in Attack and Defense Approaches of Large Language Models

Jing Cui, Yishi Xu, Zhewei Huang +3

Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their wid…

cs.CV2022

Collaborative Neural Rendering using Anime Character Sheets

Zuzeng Lin, Ailin Huang, Zhewei Huang

Drawing images of characters with desired poses is an essential but laborious task in anime production. Assisting artists to create is a research hotspot in recent years. In this p…

cs.LG2022★ 7 cited

The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights

Maxime Gasse, Quentin Cappart, Jonas Charfreitag +38

Combinatorial optimization is a well-established area in operations research and computer science. Until recently, its methods have focused on solving problem instances in isolatio…

cs.AI2022★ 2 cited

ML4CO-KIDA: Knowledge Inheritance in Dataset Aggregation

Zixuan Cao, Yang Xu, Zhewei Huang +1

The Machine Learning for Combinatorial Optimization (ML4CO) NeurIPS 2021 competition aims to improve state-of-the-art combinatorial optimization solvers by replacing key heuristic…

cs.CV2018★ 3 cited

Stroke-based Character Reconstruction

Zhewei Huang, Wen Heng, Yuanzheng Tao +1

Background elimination for noisy character images or character images from real scene is still a challenging problem, due to the bewildering backgrounds, uneven illumination, low r…