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ORCIDMingxi Cheng
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2020 – today
- 2026
[i18]Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul M. Thompson, Paul Bogdan:
EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts. CoRR abs/2601.12137 (2026)- [i17]Arctanx An, Shizhao Sun, Danqing Huang, Mingxi Cheng, Yan Gao, Ji Li, Yu Qiao, Jiang Bian:
Can Vision Language Models Assess Graphic Design Aesthetics? A Benchmark, Evaluation, and Dataset Perspective. CoRR abs/2603.01083 (2026) - [i16]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:
BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation. CoRR abs/2603.25732 (2026) - [i15]Xingyu Qiu, Yuqian Fu, Jiawei Geng, Bin Ren, Jiancheng Pan, Zongwei Wu, Hao Tang, Yanwei Fu, Radu Timofte, Nicu Sebe, Mohamed Elhoseiny, Lingyi Hong, Mingxi Cheng, Xingqi He, Runze Li, Xingdong Sheng, Wenqiang Zhang, Jiacong Liu, Shu Luo, Yikai Qin, Yaze Zhao, Yongwei Jiang, Yixiong Zou, Zhe Zhang, Yang Yang, Kaiyu Li, Bowen Fu, Zixuan Jiang, Ke Li, Hui Qiao, Xiangyong Cao, Xuanlong Yu, Youyang Sha, Longfei Liu, Di Yang, Xi Shen, Kyeongryeol Go, Taewoong Jang, Saiprasad Meesiyawar, Ravi Kirasur, Rakshita Kulkarni, Bhoomi Deshpande, Harsh Patil, Uma Mudenagudi, Shuming Hu, Chao Chen, Tao Wang, Wei Zhou, Qi Xu, Zhenzhao Xing, Dandan Zhao, Hanzhe Xia, Dongdong Lu, Zhe Zhang, Jingru Wang, Guangwei Huang, Jiachen Tu, Yaokun Shi, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Liwei Zhou, Bei Dou, Tao Wu, Zekang Fan, Junjie Liu, Adhémar de Senneville, Flavien Armangeon, Mengbers, Yazhe Lyu, Zhimeng Xin, Zijian Zhuang, Hongchun Zhu, Li Wang:
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results. CoRR abs/2604.11998 (2026) - [i14]Yan Li, Zezi Zeng, Yifan Yang, Yuqing Yang, Ning Liao, Weiwei Guo, Lili Qiu, Mingxi Cheng, Qi Dai, Zhendong Wang, Zhengyuan Yang, Xue Yang, Ji Li, Lijuan Wang, Chong Luo:
MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation. CoRR abs/2604.15309 (2026) - [i13]Miaosen Zhang, Xiaohan Zhao, Zhihong Tan, Zhou Huoshen, Yijia Fan, Yifan Yang, Kai Qiu, Bei Liu, Justin Wagle, Chenzhong Yin, Mingxi Cheng, Ji Li, Qi Dai, Chong Luo, Xu Yang, Xin Geng, Baining Guo:
Covering Human Action Space for Computer Use: Data Synthesis and Benchmark. CoRR abs/2605.12501 (2026) - [i12]Yijia Fan, Zonglin Di, Zimo Wen, Yifan Yang, Mingxi Cheng, Qi Dai, Bei Liu, Kai Qiu, Yue Dong, Ji Li, Chong Luo:
RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources. CoRR abs/2606.29538 (2026) - 2025
- [c13]Zhanhao Liang, Yuhui Yuan, Shuyang Gu, Bohan Chen, Tiankai Hang, Mingxi Cheng, Ji Li, Liang Zheng:
Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization. CVPR 2025: 13199-13208 - [i11]Anzhe Cheng, Chenzhong Yin, Mingxi Cheng, Shukai Duan, Shahin Nazarian, Paul Bogdan:
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis. CoRR abs/2508.01219 (2025) - [i10]Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Heng Ping, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Shahin Nazarian, Paul M. Thompson, Paul Bogdan:
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization. CoRR abs/2511.10971 (2025) - 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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