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ORCIDMin Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Min Wu 0001
![[0000-0001-7672-9357]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7672-9357")
— University of Maryland, Department of Electrical and Computer Engineering, College Park, MD, USA (and 1 more) - Min Wu 0002 — China University of Geosciences, School of Automation, Wuhan, China (and 2 more)
- Min Wu 0003 — East China Normal University, Shanghai Key Lab of Trustworthy Computing, China (and 2 more)
- Min Wu 0004 — State University of New York at Albany, NY, USA
- Min Wu 0005 — Oracle, Redwood Shores, CA, USA (and 1 more)
- Min Wu 0006 — University of Wisconsin at Milwaukee, College of Health Sciences, Milwaukee, WI, USA
- Min Wu 0007 — MAKO Surgical Corp. (and 1 more)
- Min Wu 0008 — Institute for Infocomm Research (I²R), A*Star, Singapore (and 2 more)
- Min Wu 0009 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China
- Min Wu 0010 — Chinese Academy of Sciences, Institute of Acoustics, Beijing, China (and 1 more)
- Min Wu 0011 — University of Oxford, Department of Computer Science, UK
- Min Wu 0012 — Worcester Polytechnic Institute, Department of Mathematical Sciences, Worcester, MA, USA (and 1 more)
- Min Wu 0013 — Nanjing University of Posts and Telecommunications, Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, College of Computer, China
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2020 – today
- 2025
[j102]Yanjie Li, Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Xin Ning, Wenqiang Li, Meilan Hao, Yusong Deng, Shu Wei:
MMSR: Symbolic regression is a multi-modal information fusion task. Inf. Fusion 114: 102681 (2025)- [j101]Jingyi Liu, Min Wu, Lina Yu, Weijun Li, Wenqiang Li, Yanjie Li, Meilan Hao, Yusong Deng, Shu Wei:
CaMo: Capturing the modularity by end-to-end models for Symbolic Regression. Knowl. Based Syst. 309: 112747 (2025) - [j100]Yiou Tang, Yan Ma, Chunling Xiao, Min Wu, Guoyuan Zeng:
Classification of EEG event-related potentials based on channel attention mechanism. J. Supercomput. 81(1): 126 (2025) - [j99]Min Wu, Weijun Li, Lina Yu, Linjun Sun, Jingyi Liu, Wenqiang Li:
Discovering Mathematical Expressions Through DeepSymNet: A Classification-Based Symbolic Regression Framework. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1356-1370 (2025) - 2024
- [j98]Zhijian Huang, Ziyu Fan, Siyuan Shen, Min Wu, Lei Deng:
MolMVC: Enhancing molecular representations for drug-related tasks through multi-view contrastive learning. Bioinform. 40(Supplement_2): ii190-ii197 (2024) - [j97]Min Wu, Zhaotong Li, Kum Fai Yuen:
Effect of anthropomorphic design and hierarchical status on balancing self-serving bias: Accounting for education, ethnicity, and experience. Comput. Hum. Behav. 158: 108299 (2024) - [j96]Xin Xiong, Min Wu, Juan He, Hong Peng, Jun Wang, Xianzhong Long, Qian Yang:
Time series classification models based on nonlinear spiking neural P systems. Eng. Appl. Artif. Intell. 129: 107603 (2024) - [j95]Min Wu, Hong Peng, Zhicai Liu, Jun Wang:
Seizure Detection of EEG Signals Based on Multi-Channel Long- and Short-Term Memory-Like Spiking Neural Model. Int. J. Neural Syst. 34(10): 2450051:1-2450051:13 (2024) - [j94]Kefeng Guo, Haifeng Shuai, Kang An, Fuhui Zhou, Theodoros A. Tsiftsis, Xingwang Li, Min Wu:
Power Allocation and Performance Evaluation for NOMA-Aided Integrated Satellite-HAP-Terrestrial Networks Under Practical Limitations. IEEE Internet Things J. 11(7): 13002-13017 (2024) - [j93]Min Wu, Kefeng Guo, Xingwang Li, Ali Nauman, Kang An, Ji Wang:
Optimization Design in RIS-Assisted Integrated Satellite-UAV-Served 6G IoT: A Deep Reinforcement Learning Approach. IEEE Internet Things Mag. 7(1): 12-18 (2024) - [j92]Xiaoxia Chen, Hanzhong Xia, Min Wu, Yue Hu, Zhen Wang:
Spatiotemporal hierarchical transmit neural network for regional-level air-quality prediction. Knowl. Based Syst. 289: 111555 (2024) - [j91]Min Wu, Ryszard Auksztulewicz, Lars Riecke:
Multimodal acoustic-electric trigeminal nerve stimulation modulates conscious perception. NeuroImage 285: 120476 (2024) - [j90]Hong Peng, Xin Xiong, Min Wu, Jun Wang, Qian Yang, David Orellana-Martín, Mario J. Pérez-Jiménez:
Reservoir computing models based on spiking neural P systems for time series classification. Neural Networks 169: 274-281 (2024) - [j89]Min Wu, Dakui Ma, Kaiqing Xiong, Linkun Yuan:
Deep Reinforcement Learning for Load Frequency Control in Isolated Microgrids: A Knowledge Aggregation Approach with Emphasis on Power Symmetry and Balance. Symmetry 16(3): 322 (2024) - [j88]Min Wu, Kefeng Guo, Xingwang Li, Zhi Lin, Yongpeng Wu, Theodoros A. Tsiftsis, Houbing Song:
Deep Reinforcement Learning-Based Energy Efficiency Optimization for RIS-Aided Integrated Satellite-Aerial-Terrestrial Relay Networks. IEEE Trans. Commun. 72(7): 4163-4178 (2024) - [j87]Xiaoqiang Guo, Shuanggui Zeng, Min Wu, Rui Zhong, Wei Hua:
A Low-Speed Position Sensorless Scheme From Standstill for Low-Cost SRM Drives Based on Triple Current Slope Difference Threshold. IEEE Trans. Ind. Electron. 71(4): 3296-3306 (2024) - [j86]Fei Li, Laili Wang, Min Wu, Longyang Yu:
A Coupled-Inductor-Based Input-Parallel Output-Parallel Quasi-Resonant Single-Stage DC-DC Converter to Mitigate Current Difference. IEEE Trans. Ind. Electron. 71(7): 6512-6523 (2024) - [j85]Li Wang, Lihui Wang, Zi-Xiang Kuai, Lei Tang, Yingfeng Ou, Min Wu, Tianliang Shi, Chen Ye, Yuemin Zhu:
Progressive Dual Priori Network for Generalized Breast Tumor Segmentation. IEEE J. Biomed. Health Informatics 28(9): 5459-5472 (2024) - [j84]Jie Ding, Min Wu, Min Xiao:
Nonlinear Decoupling Control With PIλ Dμ Neural Network for MIMO Systems. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8715-8722 (2024) - [j83]Kefeng Guo, Haifeng Shuai, Xingwang Li, Liang Yang, Theodoros A. Tsiftsis, Arumugam Nallanathan, Min Wu:
Two-Way Satellite-HAP-Terrestrial Networks With Non-Orthogonal Multiple Access. IEEE Trans. Veh. Technol. 73(1): 964-979 (2024) - [j82]Min Wu, Kefeng Guo, Zhi Lin, Xingwang Li, Kang An, Yuzhen Huang:
Joint Optimization Design of RIS-Assisted Hybrid FSO SAGINs Using Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 73(3): 3025-3040 (2024) - [j81]Kefeng Guo, Min Wu, Xingwang Li, Zhi Lin, Theodoros A. Tsiftsis:
Joint Trajectory and Beamforming Optimization for Federated DRL-Aided Space-Aerial-Terrestrial Relay Networks With RIS and RSMA. IEEE Trans. Wirel. Commun. 23(12): 18456-18471 (2024) - [c104]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. AAAI 2024: 21152-21160 - [c103]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CAV (2) 2024: 249-264 - [c102]Stephan Goerttler, Fei He, Min Wu:
Stochastic Graph Heat Modelling for Diffusion-based Connectivity Retrieval. EMBC 2024: 1-4 - [c101]Stephan Goerttler, Fei He, Min Wu:
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. EMBC 2024: 1-4 - [c100]Kefeng Guo, Xingwang Li, Muhammad Bilal, Ali Nauman, Min Wu, Feng Zhou:
Secrecy Outage Probability for RSMA-based ISATNs with Imperfect Hardware. ICC 2024: 5147-5152 - [c99]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. ICLR 2024 - [c98]Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Yusong Deng, Meilan Hao:
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. ICML 2024 - [c97]Cheng Zhang, Lingmei Jiang, Jianwei Yang, Jinyu Huang, Min Wu:
Investigation of the Optimal Fusion Days on Cloud-Free Snow Observations over the Tibetan Plateau from the Combination of Landsat-8/9, Sentinel-2, MODIS and VIIRS. IGARSS 2024: 226-229 - [c96]Pei Huang, Yuting Yang, Haoze Wu, Ieva Daukantas, Min Wu, Fuqi Jia, Clark W. Barrett:
Parallel Verification for δ-Equivalence of Neural Network Quantization. SAIV 2024: 78-99 - [c95]Min Wu, Kefeng Guo, Zhi Lin, Sahil Garg, Kuljeet Kaur, Georges Kaddoum:
Energy Efficiency Optimization in RIS-assisted ISATRNs with RSMA: A Federated Deep Reinforcement Learning Approach. WCNC 2024: 1-6 - [d1]Min Wu:
Rolling bearing fault diagnosis data set. IEEE DataPort, 2024
- [i29]Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao:
A Novel Paradigm for Neural Computation: X-Net with Learnable Neurons and Adaptable Structure. CoRR abs/2401.01772 (2024) - [i28]Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen:
Explaining Time Series via Contrastive and Locally Sparse Perturbations. CoRR abs/2401.08552 (2024) - [i27]Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng:
Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search. CoRR abs/2401.14424 (2024) - [i26]Haoze Wu, Omri Isac, Aleksandar Zeljic, Teruhiro Tagomori, Matthew L. Daggitt, Wen Kokke, Idan Refaeli, Guy Amir, Kyle Julian, Shahaf Bassan, Pei Huang, Ori Lahav, Min Wu, Min Zhang, Ekaterina Komendantskaya, Guy Katz, Clark W. Barrett:
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks. CoRR abs/2401.14461 (2024) - [i25]Min Wu, Weijun Li, Lina Yu, Wenqiang Li, Jingyi Liu, Yanjie Li, Meilan Hao:
PruneSymNet: A Symbolic Neural Network and Pruning Algorithm for Symbolic Regression. CoRR abs/2401.15103 (2024) - [i24]Min Wu:
A Hessian-based energy-optimization study of morphoelasticity. CoRR abs/2402.10923 (2024) - [i23]Stephan Goerttler, Fei He, Min Wu:
Balancing Spectral, Temporal and Spatial Information for EEG-based Alzheimer's Disease Classification. CoRR abs/2402.13523 (2024) - [i22]Yanjie Li, Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng:
MMSR: Symbolic Regression is a Multimodal Task. CoRR abs/2402.18603 (2024) - [i21]Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng:
Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning. CoRR abs/2404.06330 (2024) - [i20]Shu Wei, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Meilan Hao, Wenqiang Li, Jingyi Liu, Yusong Deng:
Closed-form Symbolic Solutions: A New Perspective on Solving Partial Differential Equations. CoRR abs/2405.14620 (2024) - [i19]Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Wenqiang Li, Shu Wei, Yusong Deng:
MLLM-SR: Conversational Symbolic Regression base Multi-Modal Large Language Models. CoRR abs/2406.05410 (2024) - [i18]Jingyi Liu, Yanjie Li, Lina Yu, Min Wu, Weijun Li, Wenqiang Li, Meilan Hao, Yusong Deng, Shu Wei:
DN-CL: Deep Symbolic Regression against Noise via Contrastive Learning. CoRR abs/2406.14844 (2024) - [i17]Anirudh Nakra, Min Wu, Chau-Wai Wong:
SoK: Fighting Counterfeits with Cyber-Physical Synergy Based on Physically-Unclonable Identifiers of Paper Surface. CoRR abs/2408.02221 (2024) - [i16]Yusong Deng, Min Wu, Lina Yu, Jingyi Liu, Shu Wei, Yanjie Li, Weijun Li:
Operator Feature Neural Network for Symbolic Regression. CoRR abs/2408.07719 (2024) - [i15]Min Wu, Xiaofu Li, Haoze Wu, Clark W. Barrett:
Better Verified Explanations with Applications to Incorrectness and Out-of-Distribution Detection. CoRR abs/2409.03060 (2024) - 2023
- [j80]Furkan Elmaz, Ulderico Di Caprio, Min Wu, Yentl Wouters, Geert Van Der Vorst, Niels Vandervoort, Ali Anwar, Mumin Enis Leblebici, Peter Hellinckx, Siegfried Mercelis:
Reinforcement learning-based approach for optimizing solvent-switch processes. Comput. Chem. Eng. 176: 108310 (2023) - [j79]Ulderico Di Caprio, Min Wu, Furkan Elmaz, Yentl Wouters, Niels Vandervoort, Ali Anwar, Siegfried Mercelis, Steffen Waldherr, Peter Hellinckx, Mumin Enis Leblebici:
Hybrid modelling of a batch separation process. Comput. Chem. Eng. 177: 108319 (2023) - [j78]Min Wu, Ulderico Di Caprio, Furkan Elmaz, Florence H. Vermeire, Bert Metten, Olivier Van Der Ha, Dries De Clercq, Siegfried Mercelis, Peter Hellinckx, Leen Braeken, Mumin Enis Leblebici:
SI-M/O: Swarm Intelligence-based Modeling and Optimization of complex synthesis reaction processes. Comput. Chem. Eng. 179: 108431 (2023) - [j77]Min Wu, Nanxi Wang, Kum Fai Yuen:
Deep versus superficial anthropomorphism: Exploring their effects on human trust in shared autonomous vehicles. Comput. Hum. Behav. 141: 107614 (2023) - [j76]Min Wu:
Transient Dynamics of a Food Chain Model with Vigilance in the Biparameter Spaces. Complex. 2023: 4977217:1-4977217:12 (2023) - [j75]Jiao Li, Huajian Xue, Min Wu, Fucheng Wang, Tieliang Gao, Feng Zhou:
Energy efficiency performance in RIS-based integrated satellite-aerial-terrestrial relay networks with deep reinforcement learning. EURASIP J. Adv. Signal Process. 2023(1): 121 (2023) - [j74]Min Wu, Jerry Chun-Wei Lin:
Design of delay compensation algorithm in remote auction network for digital art works. J. High Speed Networks 29(2): 159-168 (2023) - [j73]Min Wu, Hans Rutger Bosker, Lars Riecke:
Sentential Contextual Facilitation of Auditory Word Processing Builds Up during Sentence Tracking. J. Cogn. Neurosci. 35(8): 1262-1278 (2023) - [j72]Aihua Zhou, Yujun Ma, Wanting Ji, Ming Zong, Pei Yang, Min Wu, Mingzhe Liu:
Multi-head attention-based two-stream EfficientNet for action recognition. Multim. Syst. 29(2): 487-498 (2023) - [j71]Jingyi Liu, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Wenqiang Li, Yanjie Li:
SNR: Symbolic network-based rectifiable learning framework for symbolic regression. Neural Networks 165: 1021-1034 (2023) - [j70]Zheping Wu, Kefeng Guo, Xingwang Li, Yudong Zhang, Mingfu Zhu, Houbing Song, Min Wu:
Proactive Eavesdropping Performance for Integrated Satellite-Terrestrial Relay Networks. IEEE Open J. Commun. Soc. 4: 2985-2999 (2023) - [j69]Nanxi Wang, Min Wu, Kum Fai Yuen:
Assessment of port resilience using Bayesian network: A study of strategies to enhance readiness and response capacities. Reliab. Eng. Syst. Saf. 237: 109394 (2023) - [j68]Nanxi Wang, Min Wu, Kum Fai Yuen:
A novel method to assess urban multimodal transportation system resilience considering passenger demand and infrastructure supply. Reliab. Eng. Syst. Saf. 238: 109478 (2023) - [j67]Min Wu, Shibing Zhu, Changqing Li, Yudi Chen, Feng Zhou:
Joint Beamforming Design for RIS-Assisted Integrated Satellite-HAP-Terrestrial Networks Using Deep Reinforcement Learning. Sensors 23(6): 3034 (2023) - [j66]Yudi Chen, Yiwen Jiao, Min Wu, Hongbin Ma, Zhiwei Lu:
Group Target Tracking for Highly Maneuverable Unmanned Aerial Vehicles Swarms: A Perspective. Sensors 23(9): 4465 (2023) - [j65]Kefeng Guo, Min Wu, Xingwang Li, Houbing Song, Neeraj Kumar:
Deep Reinforcement Learning and NOMA-Based Multi-Objective RIS-Assisted IS-UAV-TNs: Trajectory Optimization and Beamforming Design. IEEE Trans. Intell. Transp. Syst. 24(9): 10197-10210 (2023) - [j64]Xiaoxiao Qian, Hongyan Quan, Min Wu:
PRNet: polar regression network for medical image segmentation. Vis. Comput. 39(1): 87-98 (2023) - [c94]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. AISTATS 2023: 6853-6878 - [c93]Luwen Duan, Min Wu, Lijian Mao, Jun Yin, Jianping Xiong, Xi Li:
RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-ray Security Image Synthesis. CVPR 2023: 22398-22407 - [c92]Kefeng Guo, Min Wu, Xingwang Li, Shahid Mumtaz, Charalampos Tsimenidis:
Joint Optimization for RIS-Aided Hybrid FSO SAGINs with Deep Reinforcement Learning. GLOBECOM 2023: 431-436 - [c91]Boyang Chen, Zhongyang Chen, Min Wu, Lin Cheng:
Collaborative Design and Implementation of Inter-provincial and Intra-provincial Power Settlement Business Based on Service Mesh. ICBAR 2023: 587-593 - [c90]Min Wu, Yuanyuan Li:
Research on the Logical Path and Promotion Strategy of Digital Governance in Chinese Higher Education. ICBDE 2023: 85-91 - [c89]Kefeng Guo, Min Wu, Xingwang Li, Rui Liu, Jianmei Dai:
Proactive Eavesdropping Performance for Integrated Satellite-Terrestrial Relay Networks. ICCC Workshops 2023: 1-6 - [c88]Luyu Nong, Min Wu:
Semantic Filtering Global and Local Embeddings Fusion for Few-Shot Image Classification. ICCPR 2023: 440-447 - [c87]Min Wu, Kefeng Guo, Haotong Cao, Zhi Lin, Kang An, Jiangzhou Wang:
Trajectory Optimization and Beamforming Design for NOMA-enabled Multi-Objective RIS-aided IS-UAV-TNs with Deep Reinforcement Learning. ICCT 2023: 1135-1140 - [c86]Tianhan Hu, Li Yang, Ying Liu, Xiuyun Yue, Min Wu:
Prediction of the positive psychology of college students using LightGBM algorithm based on SMOTE and Bayesian optimization. ICISCAE 2023: 319-324 - [c85]Wenqiang Li, Weijun Li, Linjun Sun, Min Wu, Lina Yu, Jingyi Liu, Yanjie Li, Songsong Tian:
Transformer-based model for symbolic regression via joint supervised learning. ICLR 2023 - [c84]Yongbin Jiang, Yue Wu, Yaohua Li, Ziheng Xiao, Ning Wang, Min Wu, Xiaohua Wang, Yi Tang:
Precise Modeling for the Inductance of Rounded Rectangular Coils in Wireless Power Transfer Systems. IECON 2023: 1-7 - [c83]Zhenglu Shi, Jiazhu Xu, Linjun Zeng, Min Wu, Yang He, Xuefeng Ning:
An Adaptive High-Degree Unscented Kalman Filter for State-of-Charge Estimation of Lithium-Ion Batteries. IECON 2023: 1-6 - [c82]Yue Wu, Yongbin Jiang, Yaohua Li, Chang Wang, Min Wu, Ning Wang, Xiaohua Wang, Yi Tang:
Precise Modeling of the Self-Inductance of Circular Coils with Deep Neural Networks. IECON 2023: 1-7 - [c81]Haoze Wu, Min Wu, Dorsa Sadigh, Clark W. Barrett:
Soy: An Efficient MILP Solver for Piecewise-Affine Systems. IROS 2023: 6281-6288 - [c80]Charana Sonnadara, Mudi Zhang, Min Wu, Sahil Shah:
Low-Power Mixed-Signal System for Processing Electric Network Frequency in IoT Devices. MWSCAS 2023: 162-166 - [c79]Min Wu, Haoze Wu, Clark W. Barrett:
VeriX: Towards Verified Explainability of Deep Neural Networks. NeurIPS 2023 - [i14]Dennis Wei, Haoze Wu, Min Wu, Pin-Yu Chen, Clark W. Barrett, Eitan Farchi:
Convex Bounds on the Softmax Function with Applications to Robustness Verification. CoRR abs/2303.01713 (2023) - [i13]Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot:
CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR abs/2303.06274 (2023) - [i12]Haoze Wu, Min Wu, Dorsa Sadigh, Clark W. Barrett:
Soy: An Efficient MILP Solver for Piecewise-Affine Systems. CoRR abs/2303.13697 (2023) - [i11]Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles:
AutoHint: Automatic Prompt Optimization with Hint Generation. CoRR abs/2307.07415 (2023) - [i10]Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Jingyi Liu, Yanjie Li:
A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data. CoRR abs/2309.13705 (2023) - [i9]Yanjie Li, Weijun Li, Lina Yu, Min Wu, Jinyi Liu, Wenqiang Li, Meilan Hao, Shu Wei, Yusong Deng:
MetaSymNet: A Dynamic Symbolic Regression Network Capable of Evolving into Arbitrary Formulations. CoRR abs/2311.07326 (2023) - [i8]Pei Huang, Haoze Wu, Yuting Yang, Ieva Daukantas, Min Wu, Yedi Zhang, Clark W. Barrett:
Towards Efficient Verification of Quantized Neural Networks. CoRR abs/2312.12679 (2023) - 2022
- [j63]Kaifei Shen, Hongyan Quan, Jun Han, Min Wu:
URO-GAN: An untrustworthy region optimization approach for adipose tissue segmentation based on adversarial learning. Appl. Intell. 52(9): 10247-10269 (2022) - [j62]Momiao Zhou, Min Wu, Zhizhong Ding, Zhengqiong Liu, Feifei Zhao:
Performance Evaluation of Hybrid Distributed-Centralized TDMA in High-Density Vehicular Networks. IEEE Commun. Lett. 26(4): 952-956 (2022) - [j61]Hongyi Yang, Xiaoyan Huang, Qidi Shen, Zhaokai Li, Min Wu:
A loss minimization control method for IPMSM drive system based on improved gradient descent algorithm. IEICE Electron. Express 19(6): 20220069 (2022) - [j60]Yan Ma, Lu Zhang, Min Wu:
Research on the Influence of Virtual Reality on the Learning Effect of Technical Skills of Science and Engineering College Students: Meta-Analysis Based on 32 Empirical Studies. Int. J. Digit. Multim. Broadcast. 2022: 6202370:1-6202370:9 (2022) - [j59]Jun Yin, Xuan Gao, Min Wu, Yan Liang:
A Method for the Reconstruction of Myocardial Fiber Structure in Diffusivity Adaptive Imaging Based on Particle Filter. Int. J. e Collab. 18(2): 1-11 (2022) - [j58]Yanhao He, Min Wu, Steven Liu:
A Distributed Optimal Control Framework for Multi-Robot Cooperative Manipulation in Dynamic Environments. J. Intell. Robotic Syst. 105(1): 8 (2022) - [j57]Anmin Liu, Yan Xiao, Min Wu, Yuzhen Tan, Yujie He, Yang Deng, Liang Tang:
Diagnosis and classification prediction model of pituitary tumor based on machine learning. Neural Comput. Appl. 34(12): 9257-9272 (2022) - [j56]Min Wu, Bertram Taetz, Yanhao He, Gabriele Bleser, Steven Liu:
An adaptive learning and control framework based on dynamic movement primitives with application to human-robot handovers. Robotics Auton. Syst. 148: 103935 (2022) - [j55]Yelong Yu, Xiaoyan Huang, Zhaokai Li, Min Wu, Tingna Shi, Yanfei Cao, Geng Yang, Feng Niu:
Full Parameter Estimation for Permanent Magnet Synchronous Motors. IEEE Trans. Ind. Electron. 69(5): 4376-4386 (2022) - [j54]Chang Li, Yijia Cao, Yaqian Yang, Jiazhu Xu, Min Wu, Weiming Zhang, Tomislav Dragicevic:
New Framework of RoCoF-FD for Wideband Stability Evaluation in Renewable Energy Generators With Virtual Impedance Control. IEEE Trans. Smart Grid 13(5): 3570-3581 (2022) - [c78]Bin Nan, Yinghui Wang, Yanxing Liang, Min Wu, Pengjiang Qian, Gang Lin:
Ad-RMS: Adaptive Regional Motion Statistics for Feature Matching Filtering. CGI 2022: 129-141 - [c77]Li Lyna Zhang, Youkow Homma, Yujing Wang, Min Wu, Mao Yang, Ruofei Zhang, Ting Cao, Wei Shen:
SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance. CIKM 2022: 3654-3663 - [c76]Min Wu, Xinxin Hao, Xuehong Wan, Chenwei Ma, Yu Wu:
Opportunities and Challenges of Joint Training of Postgraduate Students by the University-Industry Collaboration Institutions in Big Data Era. ICBDE 2022: 194-198 - [c75]Min Wu, Rui Chen, Yang Lv, Yu Wu, Yanqing Qiu:
Driving forces in joint training of industry-education graduate students under regional innovation ecosystem: - A case study of Yibin. ICBDE 2022: 236-240 - [c74]Zijun Su, Min Wu, Zhisheng Zhang, Haiying Wen, Zhijie Xia, Hongzhang Zheng:
Detection and State Classification of Bolts Based on Faster R-CNN. M2VIP 2022: 1-5 - [i7]Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Dong Hu:
Separable-HoverNet and Instance-YOLO for Colon Nuclei Identification and Counting. CoRR abs/2203.00262 (2022) - [i6]Zipeng Zhong, Jie Song, Zunlei Feng, Tiantao Liu, Lingxiang Jia, Shaolun Yao, Min Wu, Tingjun Hou, Mingli Song:
Root-aligned SMILES for Molecular Retrosynthesis Prediction. CoRR abs/2203.11444 (2022) - [i5]Chu Han, Xipeng Pan, Lixu Yan, Huan Lin, Bingbing Li, Su Yao, Shanshan Lv, Zhenwei Shi, Jinhai Mai, Jiatai Lin, Bingchao Zhao, Zeyan Xu, Zhizhen Wang, Yumeng Wang, Yuan Zhang, Huihui Wang, Chao Zhu, Chunhui Lin, Lijian Mao, Min Wu, Luwen Duan, Jingsong Zhu, Dong Hu, Zijie Fang, Yang Chen, Yongbing Zhang, Yi Li, Yiwen Zou, Yiduo Yu, Xiaomeng Li, Haiming Li, Yanfen Cui, Guoqiang Han, Yan Xu, Jun Xu, Huihua Yang, Chunming Li, Zhenbing Liu, Cheng Lu, Xin Chen, Changhong Liang, Qingling Zhang, Zaiyi Liu:
WSSS4LUAD: Grand Challenge on Weakly-supervised Tissue Semantic Segmentation for Lung Adenocarcinoma. CoRR abs/2204.06455 (2022) - [i4]