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ORCIDMingxi Cheng
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2020 – today
- 2024
[c12]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: 4235-4239- [c11]Chenzhong Yin, Hantang Zhang
, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. ICASSP 2024: 4845-4849 - [c10]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 - [c9]Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo:
Unsupervised Graphic Layout Grouping with Transformers. WACV 2024: 1020-1029 - [i9]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 abs/2404.09403 (2024) - 2023
- [c8]Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li:
Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition. ICAART (2) 2023: 437-446 - [c7]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: 294-304 - [i8]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 abs/2303.07537 (2023) - [i7]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 abs/2310.07885 (2023) - [i6]Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan:
Discovering Malicious Signatures in Software from Structural Interactions. CoRR abs/2312.12667 (2023) - [i5]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 abs/2312.13311 (2023) - 2022
- [c6]Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan:
Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures. CoLLAs 2022: 1086-1102 - [i4]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 abs/2211.11492 (2022) - 2021
- [c5]Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
A General Trust Framework for Multi-Agent Systems. AAMAS 2021: 332-340 - [c4]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. IV 2021: 377-384 - [i3]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. CoRR abs/2102.00816 (2021) - [i2]Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan:
Trust-aware Control for Intelligent Transportation Systems. CoRR abs/2111.04248 (2021) - 2020
- [j2]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks. Frontiers Artif. Intell. 3: 54 (2020) - [j1]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): 2925-2937 (2020) - [c3]Mingxi Cheng, Shahin Nazarian, Paul Bogdan:
VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text. WWW 2020: 2892-2898
2010 – 2019
- 2019
- [i1]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 abs/1912.10808 (2019) - 2018
- [c2]Mingxi Cheng, Ji Li, Shahin Nazarian:
DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers. ASP-DAC 2018: 129-134 - [c1]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: 383-388
Coauthor Index
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