Mingxi Cheng

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Topics

Theoretic Framework

Top Venues

Publications

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR (2024)
Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. ICASSP (2024)
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR (2024)
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
Discovering Malicious Signatures in Software from Structural Interactions. ICASSP (2024)
Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo
Unsupervised Graphic Layout Grouping with Transformers. WACV (2024)
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Hierarchical Multimodal Learning. CoRR (2023)
Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan
Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. CoRR (2023)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. ICCV (Workshops) (2023)
Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta
Fractional dynamics foster deep learning of COPD stage prediction. CoRR (2023)
Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. ICAART (2) (2023)
Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan
Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. CoRR (2023)
Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan
Discovering Malicious Signatures in Software from Structural Interactions. CoRR (2023)
Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. CoLLAs (2022)
Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato
ClipCrop: Conditioned Cropping Driven by Vision-Language Model. CoRR (2022)
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. CoRR (2021)
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
Trust-aware Control for Intelligent Transportation Systems. CoRR (2021)
Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
A General Trust Framework for Multi-Agent Systems. AAMAS (2021)
Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan
Trust-aware Control for Intelligent Transportation Systems. IV (2021)
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
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. 39 (10) (2020)
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. WWW (2020)
Mingxi Cheng, Shahin Nazarian, Paul Bogdan
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks. Frontiers Artif. Intell. 3 (2020)
Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian
H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers. CoRR (2019)
Raghav Mehta, Yuyang Huang, Mingxi Cheng, Shrey Bagga, Nishant Mathur, Ji Li, Jeffrey Draper, Shahin Nazarian
High performance training of deep neural networks using pipelined hardware acceleration and distributed memory. ISQED (2018)
Mingxi Cheng, Ji Li, Shahin Nazarian
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. ASP-DAC (2018)