Fei Liu

A fourier neural operator-based subband-BTE solver for sub-10 nm ultra-scaled devices

Zhehan Pang, Hao Ruan, Youyuan Tao, Xi Ding, Hailong Zhang, Fei Liu, et al.

To reliably capture quantum and scattering phenomenon, it has been a common practice to design the ultra-scaled gate-all-around transistors (GAAFET) by solving the subband Boltzmann transport equation (BTE), e.g., in synopsys sentaurus QTX (S-QTX). However, it is extremely comput…Read more

ReflectVLN: Training Vision-Language Navigation Agents with Reflective Reasoning

Jiahang Wang, Yirong Yang, Yanqing Zhu, Minghua Luo, Shichao Xie, Fei Liu, et al.

Existing vision-language navigation methods often couple a VLM with waypoint decoders to produce multi-step action plans, but they typically lack an explicit closed-loop mechanism for tracking semantic progress, diagnosing execution failures, and recovering from error accumulatio…Read more

ABot-N1: Toward a General Visual Language Navigation Foundation Model

Ruiyan Gong, Yingnan Guo, Junjun Hu, Jintao Kong, Xiaoxu Leng, Tianlun Li, et al.

Visual Language Navigation foundation models aim to unify deep reasoning for grounded spatial decisions with broad versatility for diverse embodied tasks. Current approaches typically achieve this integration via monolithic policies that map observations directly to actions, yet…Read more

RAISE: LLM-based Automated Heuristic Design with Robust Adversary Instance Search

Fei Liu, Alessio Figalli, Patrick Owen, Nicola Serra

Automated Heuristic Design (AHD) with Large Language Models (LLMs) has shown remarkable progress in discovering high-quality heuristics. However, existing LLM-based AHD methods optimize heuristics for a fixed training instance set and may fail catastrophically when deployed under…Read more

Digital Twin Integrated Safe Deep Reinforcement Learning for Resilience Enhancement of Unbalanced Distribution Grids

Fei Liu, Qianwen Xu

2.5D Deep Learning and Machine Learning for Discriminative DLBCL and IDC with Radiomics on PET/CT

Fei Liu, Wen Chen, Jianping Zhang, Jianling Zou, Bingxin Gu, Hongxing Yang, et al.

We aimed to establish non-invasive diagnostic models comparable to pathology testing and explore reliable digital imaging biomarkers to classify diffuse large B-cell lymphoma (DLBCL) and invasive ductal carcinoma (IDC). Our study enrolled 386 breast nodules from 279 patients with…Read more