News
- March 2023: I am co-organizing 2nd Workshop on New Frontiers in Adversarial Machine Learning (AdvML) at ICML-2023!
- Feb 2023: I served as a topic editor for Evolution in Statistical Genetics and Methodology at Frontiers in Genetics journal.
- Feb 2023: I served as a meta-reviewer for AI ethics track at International Joint Conference on Artificial Intelligence (IJCAI-23).
- Jan 2023: I gave an invited talk on Advancing Algorithmic Fairness in Deep Learning at Department of Statistics and Probability of Michigan State University.
- Jan 2023: I created the new online MS Program in Computer Science with concentration on AI.
- Dec 2022: I received a NIH R33 grant (MPI) in developing a chatbot to acquire social, clinical and molecular determinants for personalized on-device MIS-C risk assessment, total amount is $1,449,684.
- Dec 2022: I received a NSF Convergence Accelerator grant (co-PI) in learning geospatial features and developing human-centered AI for enhancing mobility equity for persons with disabilities, total amount is $613,621.
- Nov 2022: The paper entitled "Learning Compact Features via In-Training Representation Alignment" first authored by my student Xin Li has been accepted by AAAI-23, accept rate is 1,721/8,777=19.6%.
- Nov 2022: I gave an invited talk on Empowering Explainable Machine Learning through the Lens of Adversarial Robustness and Fairness at Computer Science and Engineering Department of Michigan State University.
- Sept 2022: Trustworthy AI paper titled "AttCAT: Explaining Transformers via Attentive Class Activation Tokens." first authored by my student Mr. Yao Qiang has been accepted by NuerIPS-22, accept rate is 2,665/10,411 = 25.6%.
- Aug 2022: I received a NSF HCC grant (PI) in leveraging AI for better cyber-social behavior via enhancing trust in data donation from users, total amount is $600,000.
- Aug 2022: I created the new Master program in AI (Algorithms and Systems Track) hosted by Computer Science department. Interested students please contact me for further info.
- June 2022: Congratulations to Dr. Xin Li for completing his successful PhD journey! Dissertation: Adversarial Machine Learning for Advanced Medical Imaging Systems.
- June 2022: My student Mr. Chengyin Li's first first-author machine learning paper on privacy-aware and resource-constraint EV charging recommendation algorithm titled "Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation" accepted by ECML-PKDD 2022, accept rate is 242/932 = 26%.
- May 2022: I am giving a Keynote Speech at Adversarial Machine Learning towards Advanced Vision Systems (AMLAVS) workshop @ACCV-2022.
- April 2022: Trustworthy AI paper titled "Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN." first authored by my student Mr. Yao Qiang has been accepted by 31st International Joint Conference on Artificial Intelligence (IJCAI-22), accept rate is 680/4535 = 15%.
- April 2022: I am honored and pleased to be selected to receive the "College of Engineering Excellence in Research" Award. Thanks to the department of computer science and college of engineering for your support!
- March 2022: One of the collaborative work on "Deep learning protocol for improved photoacoustic brain imaging" has been recognized as a top cited article in Journal of Biophotonics (Certificate).
- March 2022: I am co-organizing 1st Workshop on New Frontiers in Adversarial Machine Learning (AdvML) at ICML-2022! Program focuses on new theory/algorithm/application stack of AdvML and Trustworthy ML (Poster). Submission deadline: May 23 2022.
- March 2022: Congratulations to Dr. Deng Pan for completing his successful PhD journey! Dissertation: Interpretable Machine Learning and Applications.
- Jan 2022: Announcements - two fully funded PhD student positions in machine learning research available in Fall 2022! Strong background in mathematics and programming are desirable. Contact me with CV, transcripts, and/or publications.
- Dec 2021: New tenure-track faculty position available @ Wayne State CS - preferred qualification in machine learning and AI.
- Nov 2021: I am giving an invited talk titled "Robust and Explainable Machine Learning Algorithms for Social Good" at Department of Computer and Data Sciences at Case Western Reserve University.