5 citations · 15 across the 8 of their papers we have counts for
8 papers
Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors
Lang Feng, Jiahao Lin, Dong Xing +3
Population-population generalization is a challenging problem in multi-agent reinforcement learning (MARL), particularly when agents encounter unseen co-players. However, existing…
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation
Jianyu Zhang, Li Zhang, Shijian Li
The visual understanding are often approached from 3 granular levels: image, patch and pixel. Visual Tokenization, trained by self-supervised reconstructive learning, compresses vi…
A Framework For Image Synthesis Using Supervised Contrastive Learning
Yibin Liu, Jianyu Zhang, Li Zhang +2
Text-to-image (T2I) generation aims at producing realistic images corresponding to text descriptions. Generative Adversarial Network (GAN) has proven to be successful in this task.…
Multi-Depth Branch Network for Efficient Image Super-Resolution
Huiyuan Tian, Li Zhang, Shijian Li +2
A longstanding challenge in Super-Resolution (SR) is how to efficiently enhance high-frequency details in Low-Resolution (LR) images while maintaining semantic coherence. This is p…
Optimize Neural Fictitious Self-Play in Regret Minimization Thinking
Yuxuan Chen, Li Zhang, Shijian Li +1
Optimization of deep learning algorithms to approach Nash Equilibrium remains a significant problem in imperfect information games, e.g. StarCraft and poker. Neural Fictitious Self…
Monte Carlo Neural Fictitious Self-Play: Approach to Approximate Nash equilibrium of Imperfect-Information Games
Li Zhang, Wei Wang, Shijian Li +1
Researchers on artificial intelligence have achieved human-level intelligence in large-scale perfect-information games, but it is still a challenge to achieve (nearly) optimal resu…
Field-aware Neural Factorization Machine for Click-Through Rate Prediction
Li Zhang, Weichen Shen, Shijian Li +1
Recommendation systems and computing advertisements have gradually entered the field of academic research from the field of commercial applications. Click-through rate prediction i…
Algorithmic Collusion in Cournot Duopoly Market: Evidence from Experimental Economics
Nan Zhou, Li Zhang, Shijian Li +1
Algorithmic collusion is an emerging concept in current artificial intelligence age. Whether algorithmic collusion is a creditable threat remains as an argument. In this paper, we…