Mingxi Cheng

29 papers A* 3A 2C 1Misc 2Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation.
CoRR
Yan Li, Zezi Zeng, Ziwei Zhou, Xin Gao, Muzhao Tian, Yifan Yang, Mingxi Cheng, Qi Dai, Yuqing Yang, Lili Qiu, Zhendong Wang, Zhengyuan Yang, Xue Yang, Lijuan Wang, Ji Li, Chong Luo
2026 J jnl
Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective.
CoRR
Arctanx An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, Yu Qiao, Jiang Bian
2026 J jnl
EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts.
CoRR
Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2025 A* conf
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization.
CVPR
Zhanhao Liang, Yuhui Yuan, Shuyang Gu, Bohan Chen, Tiankai Hang, Mingxi Cheng, Ji Li, Liang Zheng
2025 J jnl
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.
CoRR
Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Heng Ping, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Shahin Nazarian, Paul M. Thompson, Paul Bogdan
2025 J jnl
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis.
CoRR
Anzhe Cheng, Chenzhong Yin, Mingxi Cheng, Shukai Duan, Shahin Nazarian, Paul Bogdan
2024 Misc conf
Discovering Malicious Signatures in Software from Structural Interactions.
ICASSP
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2024 A* conf
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
ICLR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 J jnl
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
CoRR
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024 Misc conf
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
ICASSP
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
2024 A conf
Unsupervised Graphic Layout Grouping with Transformers.
WACV
Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo
2023 — conf
ClipCrop: Conditioned Cropping Driven by Vision-Language Model.
ICCV (Workshops)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
2023 J jnl
Discovering Malicious Signatures in Software from Structural Interactions.
CoRR
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
2023 J jnl
Fractional dynamics foster deep learning of COPD stage prediction.
CoRR
Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta
2023 — conf
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition.
ICAART (2)
Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li
2023 J jnl
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.
CoRR
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
2023 J jnl
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.
CoRR
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
2022 J jnl
ClipCrop: Conditioned Cropping Driven by Vision-Language Model.
CoRR
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
2022 — conf
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures.
CoLLAs
Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan
2021 A conf
A General Trust Framework for Multi-Agent Systems.
AAMAS
Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 C conf
Trust-aware Control for Intelligent Transportation Systems.
IV
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 J jnl
Trust-aware Control for Intelligent Transportation Systems.
CoRR
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
2021 J jnl
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text.
CoRR
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2020 J jnl
H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
2020 J jnl
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks.
Frontiers Artif. Intell.
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2020 A* conf
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text.
WWW
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
2019 J jnl
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.
CoRR
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
2018 — conf
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers.
ASP-DAC
Mingxi Cheng, Ji Li, Shahin Nazarian
2018 — conf
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory.
ISQED
Raghav Mehta, Yuyang Huang, Mingxi Cheng, Shrey Bagga, Nishant Mathur, Ji Li, Jeffrey Draper, Shahin Nazarian