Name |
Title |
Institution |
Date |
Host |
|
Fault Simulation, Detection and Analysis for Monte Carlo Computational Resilience |
Florida State University |
Jan 12, 2024 |
- |
|
Toward Private, Secure, and Robust AI-Enabled Voice Services |
Michigan State University |
Jan 17, 2024 |
- |
|
Pushing Acoustic Sensing from the Laboratory to Real World: Theories, Applications, and Practical Problems |
University of Massachusetts Amherst |
Jan 22, 2024 |
- |
|
Responsible Graph Machine Learning Under a Fairness Lens |
University of Virginia |
Jan 24, 2024 |
- |
|
Make LLMs More Accessible: Scale LLM Fine-tuning and Serving Efficiently |
Rice University |
Jan 26, 2024 |
- |
|
Harnessing Mobile Technologies for Healthcare Equity and Fairness |
University at Buffalo |
Jan 29, 2024 |
- |
Jingchao Ni
|
Robust Learning with Evolving Data Streams for Personalized Healthcare |
Amazon |
Jan 31, 2024 |
- |
Zhichun Guo
|
Empowering Graph Neural Networks for Real-world Tasks |
University of Notre Dame |
Fed 02, 2024 |
- |
Dongjie Wang
|
Data-Centric AI: Taming AI-ready Feature Space From Decision-Making to Generative-AI |
University of Central Florida |
Feb 5, 2024 |
- |
Yaoyao Liu
|
Learning from Imperfect Data: Incremental Learning and Few-shot Learning |
Johns Hopkins University |
Feb 7, 2024 |
- |
Qi Zhang
|
Structuring Cooperative Teams for Multi-Agent Autonomy |
University of South Carolina |
Feb 9, 2024 |
- |
Han Xu
|
Exploring, Counteracting and Harnessing Adversarial Examples |
Michigan State University |
Feb 12, 2024 |
- |
Ruixiang Tang
|
Backdoor in AI: Algorithms, Attacks, and Defenses |
Rice University |
Feb 14, 2024 |
- |
Xiaotian (Max) Han
|
Resource-Efficient Machine Learning: Reduce the Cost of Graph Learning and Beyond |
Texas A&M University |
Feb 16, 2024 |
- |
Muchao Ye
|
Exploring the Adversarial Robustness of Language Models |
Pennsylvania State University |
Feb 19, 2024 |
- |
Peizhong Ju
|
From Theory to Application: Overparameterization and Machine Learning at the Edge |
Ohio State University |
Feb 21, 2024 |
- |
Yang Zhou
|
Trustworthy and Scalable Machine Learning |
Auburn University |
Feb 23, 2024 |
- |
Fnu Suya
|
An Adversarial Perspective on the Machine Learning Pipeline |
University of Maryland |
Feb 26, 2024 |
- |
Yi Zhu
|
Security of AI-enabled Perception Systems in Autonomous Driving |
University at Buffalo |
Feb 27, 2024 |
- |
Minghong Fang
|
Toward Secure Federated Learning |
Duke University |
Feb 28, 2024 |
- |
Arslan Khan
|
Securing Embedded Systems Using Compartmentalization |
Purdue University |
Feb 29, 2024 |
- |
Kevin Bello
|
Causal Machine Learning: Continuous Structure Learning and Identifiability of Causal Invariances |
Carnegie Mellon University and University of Chicago |
Mar 1, 2024 |
- |
Chenkai Weng
|
Trustworthy Systems from Secure Computation and Verification |
Northwestern University |
Mar 4, 2024 |
- |
Xin Liu
|
Collaborative IoT Communications, Networking and Beyond |
Ohio State University |
Mar 5, 2024 |
- |
Song Liao
|
Ensuring Policy and Privacy Compliance of Voice Personal Assistant Applications |
Clemson University |
Mar 6, 2024 |
- |
Muslum Ozgur Ozmen
|
Achieving Compositional Safety and Security in IoT Environments |
Purdue University |
Mar 8, 2024 |
- |
Yu Zeng
|
Learning to Synthesize Images with Multimodal and Hierarchical Inputs |
Johns Hopkins University |
Mar 25, 2024 |
- |
Shiwei Zeng
|
Data-Efficiency and Robustness in Machine Learning |
Stevens Institute of Technology |
Mar 27, 2024 |
- |
Chaoyue Liu
|
The Power of Opening the Black Box of Deep Learning |
UC San Diego |
Mar 29, 2024 |
- |
Shibo Li
|
Physics-Motivated and Inspired Probabilistic Learning |
University of Utah |
Apr 1, 2024 |
- |
Shangqian Gao
|
New Efficient Machine Learning Methods: from Convolutional Neural Networks to Large Language Models |
University of Pittsburgh |
Apr 3, 2024 |
- |