About Me [Google Scholar] [Linkedin]

*******Opening Positions*******

I am an Associate Professor at the Miner School of Computer and Information Sciences, Umass Lowell, since Spring 2025. My research interests include: multi-view learning, transfer learning/domain adaptation, adversarial machine learning, and health informatics. I received my Ph.D. degree from Department of Electrical and Computer Engineering, at Northeastern University in 2016.

I am always looking for self-motivated graduate students and visiting students/scholars. Feel free to contact me with your CV. For prospective students, you will find PhD application information here

[News]

• [1-2025] My research group moved to UMass Lowell

 

 

[Sposors]

Adversarial Machine Learning

1. Adversary for social good
2. Adversarial multi-modal action modeling
3. Graph induced adversarial attack

Healthcare Informatics and Medical Image Analysis

1. Clinical state progression, 2. Medical image segmentation, 3. Super-resolution

Visual Kinship Understanding. Check recent:

1. Paper: FIW dataset, survey
2. Workshop: data challenge I, data challenge II, data challenge III, data challenge IV
3. Tutorial: tutorial1@ACM-MM2018, tutorial2@CVPR2019, tutorial3@FG2019

Multi-view Learning. Check recent:

1. Paper: survey, action prediction;
2. Tutorial: tutorial1@CVPR2018, tutorial2@BigData2018, tutorial@IJCAI-2020

For complete publication list, please visit my Google Scholor

Journal Publication:

1. Neela Rahimi, and Ming Shao, Utilizing inherent bias for memory efficient continual learning: A simple and robust baseline, Image and Vision Computing (IVC), 2024.
2. Pankaj Pandey, John McLinden, Neela Rahimi, Chetan Kumar, Ming Shao, Sarah Ostadabbas, Kevin Spencer, and Yalda Shahriari, fNIRSNET: A Multi-view Spatio-Temporal Convolutional Neural Network Fusion for Functional Near-Infrared Spectroscopy-based Auditory Event Classification, Engineering Applications of Artificial Intelligence, 2024.
3. Jiaxuan Zhu, Ming Shao, Libo Sun, and Siyu Xia, ACL-SAR: model agnostic adversarial contrastive learning for robust skeleton-based action recognition, The Visual Computer (2024): pages 1-16, 2024.
4. Neela Rahimi∗, Chetan Kumar∗, John McLinden, Sarah Ismail Hosni, Seyyed Bahram Borgheai, Yalda Shahriari, and Ming Shao, Topology-aware Multimodal Fusion for Neural Dynamics Representation Learning and Classification, accepted by IEEE Sensors Journal, 2024 (* indicates equal contribution).
5. John McLinden, Neela Rahimi, Chetan Kumar, Dean J. Krusienski, Ming Shao, Kevin M. Spencer, Yalda Shahriari, Investigation of Electro-Vascular Phase-Amplitude Coupling during an Auditory Task, Computers in Biology and Medicine, vol. 169, no. 107902, pages 1-10, 2024.

Conference Publication:

1. Rui Chen, Haifeng Xia, Siyu Xia, Ming Shao, and Zhengming Ding, IPNet: Interpretable Prototype Network for Multi-Source Domain Adaptation, to be appeared in 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
2. Kexin Zheng, Haifeng Xia, Siyu Xia, Ming Shao, and Zhengming Ding, Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation, to be appeared in the 39th Annual AAAI Conference on Artificial Intelligence (AAAI), 2025.
3. Neeresh Kumar Perla, Md Iqbal Hossain, Afia Sajeeda, and Ming Shao, Are Exemplar-Based Class Incremental Learning Models Victim of Black-box Poison Attacks? To be appeared in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
4. Wangguandong Zhang, Haifeng Xia, Rui Chen, Ming Shao, Siyu Xia, and Zhengming Ding. Sketch3D: Style-Consistent Guidance for Sketch-to-3D Generation, ACM Multimedia, pages 3617-3626, 2024.
5. John McLinden, Pankaj Pandey, Alex Cerullo, Neela Rahimi, Chetan Kumar, Ming Shao, Kevin M. Spencer, Mascha van ’t Wout-Frank, Yalda Shahriari, Causal interactions between electro-cortical oscillations and hemodynamics during an auditory task, 5th International Neuroergonomics Conference (NEC'24), 2024.
6. Neela Rahimi, and Ming Shao, Utilizing Inherent Bias for Memory Efficient Continual Learning: A Simple and Robust Baseline, 5th Workshop on Continual Learning in Computer Vision, in conjunction with IEEE Computer Vision and Pattern Recognition (CVPR), 2024.
7. Zhendong Liu, Haifeng Xia, Tong Guo, Libo Sun, Ming Shao, and Siyu Xia, Cross-Block Fine-Grained Semantic Cascade for Skeleton-Based Sports Action Recognition, 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024 (accepted).
8. Yinjie Zhang, Ming Shao, Wenlong Shi, Haifeng Xia, Siyu Xia, Autonomous Generative Feature Replay for Non-Exemplar Class-Incremental Learning, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 5760-5764, 2024.
9. Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz, Few-shot Shape Recognition by Learning Deep Shape-aware Features, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pages 1848-1859, 2024.

 

Group Photo:

PhD Students:

• Jiaxuan Zhu, Fall 2024 -- now
• Neeresh Perla, Spring 2024 -- now
• MdIqbal Hossain, Spring 2023 -- now
• Afia Sajeeda, Fall 2023 -- now
• Neela Rahimi, Fall 2019 -- Spring 2024 (AI ML Scientist at PrimeAI)
• Deepak Kumar, Fall 2018 -- Fall 2023 (Assistant Research Professor at WPI)
• Chetan Kumar, Fall 2018 -- Fall 2023 (Research Scientist at Old Dominion University Research Foundation)
• Riazat Ryan, Fall 2017 -- Summer 2023 (Tenure-Track Assistant Professor at Bryan University)
• Venkata Suhas Maringanti (co-supervised with Dr. Vanni Bucci), Fall 2017 -- Fall 2022 (Applied Scientist at Amazon Web Services (AWS))

Master Students (Thesis):

• Rohan Gonjari, Fall 2022 -- Summer 2023
• Pratishthit Choudhary, Fall 2022 -- Summer 2023
• Josue N Rivera Valdez, Fall 2019 -- Summer 2021 (Now PhD at Purdue University)
• Harshitha Srinivas Rao, Summer 2020 -- Summer 2021 (Now at Amazon)
• Deepak Kumar, Fall 2017 -- Summer 2018 (Now PhD at MIND lab)

Undergraduate Students (Research Assistant):

• James Patrick Donohue, Summer 2022
• Andrew C Anctil, Summer 2021
• David O Atunlute, Summer 2020 -- Spring 2021

Visiting Scholar:

• ChunWei Seah (2019 -- 2020)

Senior Area Editors:

• IEEE Transactions on Image Processing

Associate Editors:

• Neural Networks
• IEEE Computational Intelligence Magazine
• SPIE Journal of Electronic Imaging

Area Chair: ICLR, ACM-MM, IEEE FG

Senior Program Committee: AAAI, IJCAI

Program Committee/Reviewer: ICLR, ICML, NeurlPS, KDD, ICMR, ACPR, IEEE BigData, ICDM, ACCV, ICCV, CVPR, ECCV, ACM-MM, SDM, FG, BMVC, WACV, AMFG, ICASSP, ICME, ICPR, AVSS

Tutorial Organizer

• Multi-view Data Analytics" at IEEE BigData 2018, IEEE CVPR 2018, IJCAI 2020
• Visual Kinship Understanding” at IEEE CVPR 2018, ACM-MM 2018, FG 2019

Program Chair

• Big Data Transfer Learning Workshop (BDTL) in Conjunction with IEEE Big Data Conference
• IEEE International Workshop on Analysis and Modeling of Faces and Gestures in Conjunction with (CVPR, ICCV)

Publicity Chair

• IEEE Workshop on Analysis and Modeling of Faces and Gestures in Conjunction with CVPR2013 (AMFG2013)

 

• COMP.5230 Computer Vision, Spring 2025

• [8-2022] Grateful to receive NSF CPS Medium Award ($512k) as site-PI to support our AI-enabled organs-on-chips research. Total amount is $1.1M and UMassD is the lead institute
• [8-2022] Grateful to receive grant from NFWF ($207k) as co-PI to support our Electronic Monitoring Program for New England Ground Fish
• [7-2022] Grateful to receive Mass Skills Capital Grant ($500k) as co-PI to support our industrial robotics and cybersecurity research
• [7-2022] Grateful to receive NSF CAREER Award ($498k) as sole PI to support my continual multi-view representation learning
• [2-2022] Grateful to receive MIT Sea Grant from NOAA ($190k) as co-PI to support our Multispecies Groundfish Electronic Monitoring Programs
• [12-2021] Grateful to receive MSF internal SEED Award ($20k) as PI to support AI research to assess changes in demersal fish population and species assemblage
• [6/2021] I accpeted the invitation to serve as the Associate Editor of IEEE Transactions on Image Processing
• [6/2021] Our work regarding image super-resolution for bioimaging has been accpeted by Sensors and actuators. A, Physical
• [5/2021] Serve as Area Chairs for IEEE FG and ACM-MM
• [3/2021] Grateful to receive NSF REU Site award "REU Site: Secure, Robust, and Resilient AI-enabled System Engineering." Please apply here:
• [3/2021] One paper "DNA-Net: Age and Gender Aware Kin Face Synthesizer" was accepted as oral in ICME 2021
• [2/2021] One survey paper "Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. This is my fifth TPAMI paper.
• [1/2021] Deepak and Chetan's recent work on Collaborative Knowledge Distillation for Incomplete Multi-view Action Prediction has been accepted by Journal of Image and Vision Computing
• [12/2020] Our work on Cost-Sensitive Feature Selection has been accepted by Knowledge and Information Systems
• [12/2020] Serve as Program Committee (PC) for ICML/NeurlPs/CVPR/ICCV/KDD/ICDM/ICME 2021
• [9/2020] Serve on NSF panel
• [9/2020] One Facial Image Blending work has been accepted by ACCV 2020
• [9/2020] Grateful to receive NSF grant to support our Multi-view Graph Learning research
• [8/2020] Congratulations to my students Deepak and Chetan who recently passed their Dissertation Proposal Defense
• [8/2020] Our work on Vitiligo Segmentation in Skin Image has been accepted by Computerized Medical Imaging and Graphics
• [7/2020] Deepak and Chetan's recent work on Adversarial Attack on Multimodal Action Recognition has been accepted by ACM-MM 2020 as long paper, congratulations!!!
• [7/2020] Neela's recent work on Baseband Modulation Classification using Incremental Learning has been accepted by MWSCAS 2020, congratulations!!!
• [7/2020] Serve on Senior Program Committee (SPC) for IJCAI2021, Program Committee (PC) for ACCV2020, WACV2020
• [6/2020] Serve as IEEE Boston Section Computational Intelligence Chapter Chair
• [5/2020] Serve on NSF panel
• [5/2020] Deepak and Chetan will do summer internship at Philips Research and ReviveMed in Cambridge MA
• [4/2020] My student Chetan Kumar received CIS Graduate Research Award for the year 2020
• [4/2020] Will organize tutorial "Robust Multi-view Visual Learning: A Knowledge Flow Perspective" at IJCAI-2020
• [3/2020] Grateful to receive University-Industry Collaborative Seed Funding ($28K) from UMD as co-PI
• [3/2020] Research talk on Adversary for Social Good at Brandies University
• [2/2020] Grateful to receive ONR grant to support our Incremental Learning research
• [1/2020] I will serve as the Area Chair of ACM-MM 2020
• [1/2020] Will serve as Program Committee (PC) for ICML2020, KDD2020, and Senior Program Committee (SPC) for IJCAI2020
• [12/2019] Do you believe that you can synthesize your child's face images through Deep Learning? See our recent work: What Will Your Child Look Like? DNA-Net: Age and Gender Aware Kin Face Synthesizer
• [12/2019] My student Chetan Kumar received AAAI 2020 Student Travel Award, congratulations!
• [11/2019] My student Riazat Ryan received IEEE BigData Conference Student Travel Award (35 out of 190), congratulations!
• [11/2019] Our recent work using Adversarial Samples for Social Good has been accepted by AAAI 2020 (oral presentation, acceptance rate: 245/7737 = 3%). Congratulations to my students Chetan Kumar and Riazat Ryan!
• [10/2019] Our recent work on Clinical State Progression has been accepted as a regular paper (acceptance rate: 19.27%) in IEEE International Conference on Big Data in 2019. Congratulations to my student Riazat Ryan!
• [9/2019] Serve as Senior Program Committee (PC) for AAAI 2020 and PC for ICLR 2020, ECAI 2020, and CVPR 2020
• [9/2019] One paper accepted by International Conference on Bioinformatics & Biomedicine (BIBM 2019)
• [8/2019] One Ellipse Detection paper has been accepted by IEEE Transactions on Image Processing
• [3/2019] Student Venkata Suhas Maringanti received 2019 Computer & Information Science Graduate Research Award
• [2/2019] I will serve on the Program Committee (PC) for CIKM 2019, ICCV 2019, IJCAI 2019, IEEE BigData2019, ACM-MM 2019
• [2/2019] Students Deepak Kumar and Venkata Suhas Maringanti will do summer internship at Amazon (AWS) and Philips Research North America. Congratulations!
• [2/2019] We will organize a tutorial on "Visual Recognition of Families In the Wild" in conjunction with CVPR2019
• [1/2019] One paper accepted by IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019)
• [10/2018] One Robust Metric Learning paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• [9/2018] One Unsupervised Feature Selection paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (TKDE).
• [9/2018] One Visual Kinship Understanding paper has been accepted by Asian Computer Vision Conference (ACCV) 2018.
• [9/2018] I accept the invitation and will serve as an Associate Editor (AE) of the IEEE Computational Intelligence Magazine (IEEE CIM, impact factor 6.611)
• [8/2018] One paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, impact factor 8.329)
• [8/2018] One paper has been accepted by IEEE International Conference on Big Knowledge (ICBK) 2018
• [8/2018] We will organize Family In the Wild 3.0 Data Challenge in conjunction with FG 2019
• [7/2018] We will organize a tutorial on "Recognizing Families In the Wild" in conjunction with ACM-MM 2018
• [7/2018] One paper has been accepted by European Conference on Computer Vision (ECCV) 2018.
• [7/2018] One paper has been accepted by British Machine Vision Conference (BMVC) 2018.
• [6/2018] We will organize a tutorial on "Large-Scale Multi-View Learning" in conjunction with IEEE Big Data 2018
• [6/2018] I will serve on the Program Committee (PC) for IEEE International Conference on Data Mining 2018
• [5/2018] I will co-chair the 3rd Big Data Transfer Learning Workshop (BDTL) in Conjunction with IEEE Big Data 2018
• [5/2018] I will serve on the Senior Program Committee (SPC) for 33nd AAAI Conference on Artificial Intelligence (AAAI-19)
• [5/2018] One IEEE Transactions on Knowledge and Data Engineering (TKDE) paper is accepted
• [5/2018] My student Deepak Kumar has been selected for Feature Stories of MS in Data Science of UMass Dartmouth
• [4/2018] One survey paper on multi-view learning has been accepted by IJCAI 2018
• [3/2018] Our Visual Kinship Recognition of Families work has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, impact factor 8.329). Congratulations to all authors!
• [1/2018] I accepted the invitation to serve as Program Committee of IJCAI 2018
• [1/2018] Grateful to receive Two UMass Dartmouth Multidisciplinary Seed Fundings (MSF)
• [12/2017] We will organize a tutorial on "Multi-view Visual Data Analytics" in conjunction with CVPR 2018
• [12/2017] We will organize "the 8th IEEE International Workshop on Analysis and Modeling of Faces and Gestures" (AMFG2018) in conjunction with CVPR 2018
• [11/2017] Grateful to receive the *Microsoft Azure Research Award* to support my research in Visual Kinship Understanding
• [11/2017] We have one paper accepted by ACM Transactions on Knowledge Discovery from Data.
• [11/2017] We have one paper accepted by IEEE Transactions on Image Processing.
• [11/2017] One paper has been accepted by the BDTL Workshop 2017 in conjunction with IEEE BigData Conference. Congratulations to Deepak Kumar and Chetan Kumar!
• [11/2017] Deepak and Chetan gave an oral presentation on "Cross-Database Mammographic Image Analysis" in 2017 New England Computer Vision Workshop [PIC1] [PIC2]
• [11/2017] We will organize *Faces in Multimedia* workshop in conjunction with ICME 2018 at San Diego
• [10/2017] Our *Family In the Wild 2.0* Data Challenge proposal has been accepted by FG 2018.
• [9/2017] We have one paper accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, impact factor 8.329), Congratulations to all authors!
• [9/2017] We are grateful to receive Provost's Department Seminar Funds to support our graduate seminar.
• [9/2017] We have one paper accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, impact factor 8.329), Congratulations to all authors!
• [8/2017] We have one paper accepted by Data Mining and Knowledge Discovery. Congratulations to all authors!
• [7/2017] I will be the technical committee member (TPC) of AAAI2018 and FG2018
• [6/2017] I will co-organize 2nd International Workshop on Big Data Transfer Learning (BDTL) in Conjunction with IEEE BigData Conference, Boston MA, Dec 2017.
• [5/2017] Thank State Street Foundation and College of Engineering for the Mini-Grant to support our Data Science course development
• [5/2017] Thank Leduc Center for Civic Engagement's seed grant to support our HCI research
• [5/2017] One paper accepted by IEEE International Conference on Image Processing (ICIP), 2017
• [4/2017] Thank NVIDIA for the donation of GPU cards for our deep learning research
• [4/2017] I will co-organize the 7th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG2017) in Conjunction with International Conference on Computer Vision 2017
• [4/2017] I will co-organize Large-Scale Kinship Recognition Data Challenge in Conjunction with ACM-MM 2017
• [3/2017] One paper accepted by ACM International Conference on Multimedia Retrieval (ICMR), 2017
• [2/2017] I have one paper accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
• [12/2016] I have two papers accepted by IEEE Transactions on Neural Networks and Learning Systems
• [12/2016] I accept the invitations for PC members of IJCAI 2017, ACII 2017, ICMLA2017
• [12/2016] I receive the Curriculum Enhancement Seed Funding from College of Engineering
• [12/2016] I give a keynote speech in TCFMTL Workshop in conjunction with IEEE BigData 2016
• [10/2016] I accept the invitations for PC members of AAAI 2017 and FG 2017
• [10/2016] I received Service-Learning Faculty Fellowship Award
• [10/2016] I have one paper accepted by IEEE Transactions on Neural Networks and Learning Systems
• [9/2016] Our action detection dataset (MERL Shopping Dataset) has been released! For benchmark results please see our CVPR paper.
• [9/2016] I have one paper accepted by International Conference on Data Mining (ICDM) 2016
• [9/2016] I have one paper accepted by IEEE Transactions on Image Processing
• [8/2016] I am co-organizing "Workshop on Textual Customer Feedback Mining and Transfer Learning" in conjunction with 2016 IEEE International Conference on Big Data (IEEE BigData 2016)
• [8/2016] I have one paper accepted by IEEE Transactions on Big Data
• [7/2016] We have one paper accepted by ECCV 2016. Congratulations to Allan Ding!
• [6/2016] Our paper "Large-Scale Kinship Image Database and Benchmarks" has been accepted by ACM-MM 2016! [arxiv link]
• [5/2016] We have one paper accepted by KDD 2016. Congratulations to Hongfu Liu and Sheng Li!
• [5/2016] I fishished my PhD progam, and graduated from Northeastern University
• [4/2016] I have one paper accepted by CVPR 2016