papers

Publications (20)

cs.CV2025

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis

Anzhe Cheng, Chenzhong Yin, Mingxi Cheng +3

cs.CV2026

MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation

Yan Li, Zezi Zeng, Yifan Yang +12

cs.DC2020

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers -- A Hierarchical Hybrid DRL (Deep Reinforcement Learning) based Approach

Mingxi Cheng, Ji Li, Paul Bogdan +1

cs.SE2026

RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources

Yijia Fan, Zonglin Di, Zimo Wen +8

The paper introduces RESOURCE2SKILL, a framework that converts multimodal human-created resources such as tutorial videos, code repositories, and articles into executable skills or…

#skill distillation#multimodal learning#agent programming#knowledge bases
cs.CV2026

Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective

Arctanx An, Shizhao Sun, Danqing Huang +5

cs.CV2025

Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Zhanhao Liang, Yuhui Yuan, Shuyang Gu +5

cs.LG2024

Neuro-Inspired Hierarchical Multimodal Learning

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta +6

cs.CL2021

VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text

Mingxi Cheng, Shahin Nazarian, Paul Bogdan

cs.CV2026

The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results

Xingyu Qiu, Yuqian Fu, Jiawei Geng +70

cs.CV2022

ClipCrop: Conditioned Cropping Driven by Vision-Language Model

Zhihang Zhong, Mingxi Cheng, Zhirong Wu +7

cs.AI2021

Trust-aware Control for Intelligent Transportation Systems

Mingxi Cheng, Junyao Zhang, Shahin Nazarian +2

cs.LG2026

EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts

Anzhe Cheng, Shukai Duan, Shixuan Li +5

cs.LG2024

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta +6

cs.CV2026

BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

Yan Li, Zezi Zeng, Ziwei Zhou +13

cs.LG2023

Fractional dynamics foster deep learning of COPD stage prediction

Chenzhong Yin, Mihai Udrescu, Gaurav Gupta +6

cs.CR2023

Discovering Malicious Signatures in Software from Structural Interactions

Chenzhong Yin, Hantang Zhang, Mingxi Cheng +4

cs.LG2023

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives

Chenzhong Yin, Mingxi Cheng, Xiongye Xiao +4

cs.CV2026

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan +14

cs.CV2026

ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization

Anzhe Cheng, Shukai Duan, Shixuan Li +8

cs.LG2023

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks

Anzhe Cheng, Zhenkun Wang, Chenzhong Yin +5