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ORCIDMingxuan Sun 0001
Person information
- affiliation: Louisiana State University, Division of Computer Science and Engineering, Baton Rouge, LA, USA
- affiliation (former, PhD 2012): Georgia Institute of Technology, Atlanta, GA, USA
Other persons with the same name
- Mingxuan Sun (aka: Ming-Xuan Sun) — disambiguation page
- Mingxuan Sun 0002
![[0000-0003-2553-6154]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2553-6154")
— Zhejiang University of Technology, College of Information Engineering, Hangzhou, China (and 1 more)
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Books and Theses
- 2012
[b1]Mingxuan Sun:
Visualizing and modeling partial incomplete ranking data. Georgia Institute of Technology, Atlanta, GA, USA, 2012
Journal Articles
- 2025
- [j24]Xiaobing Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao:
Joint Device and Training Scheduling for Wireless Federated Learning. IEEE Internet Things J. 12(12): 18806-18819 (2025) - [j23]Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang:
Learning to Rank with Top-$K$ Fairness. Trans. Mach. Learn. Res. 2025 (2025) - 2024
- [j22]Xiaobing Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, H. Vincent Poor:
Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity. IEEE Internet Things J. 11(19): 32183-32196 (2024) - [j21]Lingyun Song, Xuequn Shang, Ruizhi Zhou, Jun Liu, Jie Ma, Zhanhuai Li, Mingxuan Sun:
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. Neural Networks 179: 106558 (2024) - [j20]Lingyun Song, Siyu Chen, Ziyang Meng, Mingxuan Sun, Xuequn Shang:
FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos. IEEE Trans. Multim. 26: 7294-7306 (2024) - 2023
- [j19]Lingyun Song, Jianao Li, Jun Liu, Yang Yang, Xuequn Shang, Mingxuan Sun:
Answering knowledge-based visual questions via the exploration of Question Purpose. Pattern Recognit. 133: 109015 (2023) - [j18]Lingyun Song, Xuequn Shang, Chen Yang, Mingxuan Sun:
Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing. IEEE Trans. Multim. 25: 5305-5318 (2023) - 2022
- [j17]Zheye Wang, Nina Siu-Ngan Lam, Mingxuan Sun, Xiao Huang, Jin Shang, Lei Zou, Yue Wu, Volodymyr V. Mihunov:
A Machine Learning Approach for Detecting Rescue Requests from Social Media. ISPRS Int. J. Geo Inf. 11(11): 570 (2022) - 2021
- [j16]Lingyun Song, Jun Liu, Mingxuan Sun, Xuequn Shang:
Weakly Supervised Group Mask Network for Object Detection. Int. J. Comput. Vis. 129(3): 681-702 (2021) - [j15]Mengmeng Liu, Xiangwei Zhou, Mingxuan Sun:
Bilateral Privacy-Utility Tradeoff in Spectrum Sharing Systems: A Game-Theoretic Approach. IEEE Trans. Wirel. Commun. 20(8): 5144-5158 (2021) - 2020
- [j14]Andrew Case, Ryan D. Maggio, Md Firoz-Ul-Amin, Mohammad M. Jalalzai, Aisha I. Ali-Gombe, Mingxuan Sun, Golden G. Richard III:
Hooktracer: Automatic Detection and Analysis of Keystroke Loggers Using Memory Forensics. Comput. Secur. 96: 101872 (2020) - [j13]Jin Shang, Mingxuan Sun:
Local low-rank Hawkes processes for modeling temporal user-item interactions. Knowl. Inf. Syst. 62(3): 1089-1112 (2020) - 2019
- [j12]Andrew Case, Mohammad M. Jalalzai, Md Firoz-Ul-Amin, Ryan D. Maggio, Aisha I. Ali-Gombe, Mingxuan Sun, Golden G. Richard III:
HookTracer: A System for Automated and Accessible API Hooks Analysis. Digit. Investig. 29 Supplement: S104-S112 (2019) - [j11]Shengjie Guo, Xiangwei Zhou, Sa Xiao, Mingxuan Sun:
Fairness-Aware Energy-Efficient Resource Allocation in D2D Communication Networks. IEEE Syst. J. 13(2): 1273-1284 (2019) - [j10]Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun:
On-Demand Receiver-Centric Channel Allocation via Constrained VCG Auction for Spatial Spectrum Reuse. IEEE Syst. J. 13(3): 2519-2530 (2019) - [j9]Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun:
Constrained VCG Auction With Multi-Level Channel Valuations for Spatial Spectrum Reuse in Non-Symmetric Networks. IEEE Trans. Commun. 67(2): 1182-1196 (2019) - [j8]Nanmiao Wu, Xiangwei Zhou, Mingxuan Sun:
Incentive Mechanisms and Impacts of Negotiation Power and Information Availability in Multi-Relay Cooperative Wireless Networks. IEEE Trans. Wirel. Commun. 18(7): 3752-3765 (2019) - 2018
- [j7]Mingxuan Sun, Fei Li, Jian Zhang:
A Multi-Modality Deep Network for Cold-Start Recommendation. Big Data Cogn. Comput. 2(1): 7 (2018) - [j6]Nanmiao Wu, Xiangwei Zhou, Mingxuan Sun:
Secure Transmission With Guaranteed User Satisfaction in Heterogeneous Networks: A Two-Level Stackelberg Game Approach. IEEE Trans. Commun. 66(6): 2738-2750 (2018) - [j5]Lingyun Song, Jun Liu, Buyue Qian, Mingxuan Sun, Kuan Yang, Meng Sun, Samar Abbas:
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. IEEE Trans. Image Process. 27(12): 6025-6038 (2018) - 2012
- [j4]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
PREA: personalized recommendation algorithms toolkit. J. Mach. Learn. Res. 13: 2699-2703 (2012) - 2009
- [j3]Mingxuan Sun, Zicheng Liu, Jingyu Qiu, Zhengyou Zhang, Mike Sinclair:
Active Lighting for Video Conferencing. IEEE Trans. Circuits Syst. Video Technol. 19(12): 1819-1829 (2009) - 2007
- [j2]Michael S. Brown, Mingxuan Sun, Ruigang Yang, Yun Lin, W. Brent Seales:
Restoring 2D Content from Distorted Documents. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 1904-1916 (2007) - [j1]Huamin Wang, Mingxuan Sun, Ruigang Yang:
Space-Time Light Field Rendering. IEEE Trans. Vis. Comput. Graph. 13(4): 697-710 (2007)
Conference and Workshop Papers
- 2025
- [c33]Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun:
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. AAAI 2025: 15904-15912 - [c32]Taibiao Zhao, Xiaobing Chen, Mingxuan Sun:
Enhancing Time Series Forecasting via Multi-level Text Alignment with LLMs. DASFAA (2) 2025: 507-516 - 2024
- [c31]Xiaobing Chen, Xiangwei Zhou, Hongchao Zhang, Mingxuan Sun, Taibiao Zhao:
Cost-Effective Federated Learning: A Unified Approach to Device and Training Scheduling. ICC 2024: 3488-3493 - 2023
- [c30]Zhuoqun Li, Mingxuan Sun:
Sparse Transformer Hawkes Process for Long Event Sequences. ECML/PKDD (5) 2023: 172-188 - [c29]Zhuoqun Li, Zihan Zhou, Mingxuan Sun, Hongteng Xu:
Debiased Imitation Learning for Modulated Temporal Point Processes. SDM 2023: 460-468 - 2021
- [c28]Zihan Zhou, Mingxuan Sun:
Multivariate Hawkes Processes for Incomplete Biased Data. IEEE BigData 2021: 968-977 - 2020
- [c27]Mengmeng Liu, Xiangwei Zhou, Mingxuan Sun:
A Game-Theoretic Approach to Achieving Bilateral Privacy-Utility Tradeoff in Spectrum Sharing. GLOBECOM 2020: 1-6 - [c26]Mingxuan Sun, Qing Wang, Zicheng Liu:
Human Action Image Generation with Differential Privacy. ICME 2020: 1-6 - [c25]Jin Shang, Mingxuan Sun, Nina Siu-Ngan Lam:
List-wise Fairness Criterion for Point Processes. KDD 2020: 1948-1958 - 2019
- [c24]Jin Shang, Mingxuan Sun:
Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. AAAI 2019: 4878-4885 - [c23]Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun:
Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse. CCNC 2019: 1-6 - [c22]Zihan Zhou, Mingxuan Sun, Jianhua Chen:
A Model-Agnostic Approach for Explaining the Predictions on Clustered Data. ICDM 2019: 1528-1533 - 2018
- [c21]Nanmiao Wu, Xiangwei Zhou, Mingxuan Sun:
Incentive Mechanisms and Influence of Negotiation Power in Multi-Relay Cooperative Wireless Networks. GLOBECOM 2018: 1-7 - [c20]Nanmiao Wu, Xiangwei Zhou, Mingxuan Sun:
Multi-Channel Jamming Attacks against Cooperative Defense: A Two-Level Stackelberg Game Approach. ICC 2018: 1-6 - [c19]Jin Shang, Mingxuan Sun:
Local Low-Rank Hawkes Processes for Temporal User-Item Interactions. ICDM 2018: 427-436 - [c18]Jin Shang, Mingxuan Sun, Kevyn Collins-Thompson:
Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems. ICDM 2018: 1218-1223 - [c17]Shengjie Guo, Xiangwei Zhou, Sa Xiao, Mingxuan Sun:
Low-Complexity Mode Selection and Resource Allocation for Energy-Efficient D2D Communications. VTC Fall 2018: 1-5 - 2017
- [c16]Nanmiao Wu, Xiangwei Zhou, Mingxuan Sun:
Secure Transmission in Heterogeneous Networks: A Two-Level Stackelberg Game Approach. GLOBECOM 2017: 1-6 - [c15]Feixiang Zhang, Xiangwei Zhou, Mingxuan Sun:
Constrained VCG Auction for Spatial Spectrum Reuse with Flexible Channel Evaluations. GLOBECOM 2017: 1-6 - [c14]Tianyang Wang, Mingxuan Sun, Kaoning Hu:
Dilated Deep Residual Network for Image Denoising. ICTAI 2017: 1272-1279 - [c13]Mingxuan Sun, Changbin Li, Hongyuan Zha:
Inferring Private Demographics of New Users in Recommender Systems. MSWiM 2017: 237-244 - [c12]Mingxuan Sun, Guangyue Xu, Junjie Zhang, Dae Wook Kim:
Tracking You through DNS Traffic: Linking User Sessions by Clustering with Dirichlet Mixture Model. MSWiM 2017: 303-310 - 2016
- [c11]Mingxuan Sun, Seungwon Yang:
Personalization of Learning Paths in Online Communities of Creators. EDM 2016: 513-516 - 2014
- [c10]Komal Kapoor, Mingxuan Sun, Jaideep Srivastava, Tao Ye:
A hazard based approach to user return time prediction. KDD 2014: 1719-1728 - 2013
- [c9]Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, Hongyuan Zha:
Learning multiple-question decision trees for cold-start recommendation. WSDM 2013: 445-454 - 2012
- [c8]Joonseok Lee, Mingxuan Sun, Seungyeon Kim, Guy Lebanon:
Automatic Feature Induction for Stagewise Collaborative Filtering. NIPS 2012: 323-331 - 2011
- [c7]Mingxuan Sun, Guy Lebanon, Paul Kidwell:
Estimating Probabilities in Recommendation Systems. AISTATS 2011: 734-742 - 2010
- [c6]Mingxuan Sun, Guy Lebanon, Kevyn Collins-Thompson:
Visualizing differences in web search algorithms using the expected weighted hoeffding distance. WWW 2010: 931-940 - 2009
- [c5]Mingxuan Sun, Grant Schindler, Greg Turk, Frank Dellaert:
Color matching and illumination estimation for urban scenes. ICCV Workshops 2009: 1566-1573 - 2007
- [c4]Mingxuan Sun, Grant Schindler, Sing Bing Kang, Frank Dellaert:
4D view synthesis: navigating through time and space. SIGGRAPH Posters 2007: 194 - 2006
- [c3]Miao Liao, Mingxuan Sun, Ruigang Yang, Zhengyou Zhang:
Robust and Accurate Visual Echo Cancelation in a Full-Duplex Projector-Camera System. CVPR Workshops 2006: 10 - [c2]Joan M. Mazur, Ruigang Yang, Mingxuan Sun, Rebecca Kayrouz:
3-D Graphical Hypermedia Meets Interactive E-Books: A New Paradigm for Experiential Learning. Edutainment 2006: 233-242 - 2005
- [c1]Mingxuan Sun, Ruigang Yang, Yun Lin, George V. Landon, W. Brent Seales, Michael S. Brown:
Geometric and Photometric Restoration of Distorted Documents. ICCV 2005: 1117-1123
Informal and Other Publications
- 2025
- [i9]Taibiao Zhao, Xiaobing Chen, Mingxuan Sun:
Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs. CoRR abs/2504.07360 (2025) - [i8]Xiaobing Chen, Boyang Zhang, Xiangwei Zhou, Mingxuan Sun, Shuai Zhang, Songyang Zhang, Geoffrey Ye Li:
Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. CoRR abs/2507.05685 (2025) - [i7]Taibiao Zhao, Mingxuan Sun, Hao Wang, Xiaobing Chen, Xiangwei Zhou:
Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models. CoRR abs/2508.10243 (2025) - [i6]Boyang Zhang, Quanqi Hu, Mingxuan Sun, Qihang Lin, Tianbao Yang:
Learning to Rank with Top-K Fairness. CoRR abs/2509.18067 (2025) - [i5]Boyang Zhang, Xiaobing Chen, Songyang Zhang, Shuai Zhang, Xiangwei Zhou, Mingxuan Sun:
FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment. CoRR abs/2512.23070 (2025) - 2024
- [i4]Xiaobing Chen, Xiangwei Zhou, Songyang Zhang, Mingxuan Sun:
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. CoRR abs/2412.15492 (2024) - 2017
- [i3]Tianyang Wang, Mingxuan Sun, Kaoning Hu:
Dilated Residual Network for Image Denoising. CoRR abs/1708.05473 (2017) - 2012
- [i2]Joonseok Lee, Mingxuan Sun, Guy Lebanon:
A Comparative Study of Collaborative Filtering Algorithms. CoRR abs/1205.3193 (2012) - 2010
- [i1]Mingxuan Sun, Guy Lebanon, Paul Kidwell:
Estimating Probabilities in Recommendation Systems. CoRR abs/1012.0498 (2010)
Coauthor Index
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