no code implementations • 7 Jun 2024 • Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
While deep learning has achieved significant success in various domains, its application to logic circuit design has been limited due to complex constraints and strict feasibility requirement.
1 code implementation • 14 Mar 2024 • Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
In this study, we introduce a generative neural model, the "Circuit Transformer", which eliminates such wrong predictions and produces logic circuits strictly equivalent to given Boolean functions.
no code implementations • 3 Feb 2022 • Xihan Li, Xiang Chen, Rasul Tutunov, Haitham Bou-Ammar, Lei Wang, Jun Wang
The Schr\"odinger equation is at the heart of modern quantum mechanics.
1 code implementation • 2 Mar 2019 • Xihan Li, Jia Zhang, Jiang Bian, Yunhai Tong, Tie-Yan Liu
Traditional solutions on these problems leverage combinatorial optimization with demand and supply forecasting.
no code implementations • COLING 2018 • Meng Zou, Xihan Li, Haokun Liu, Zhi-Hong Deng
Neural encoder-decoder models have been widely applied to conversational response generation, which is a research hot spot in recent years.