CS Events
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Maximize Utilization of Support-Set for Few-shot segmentation
Event Type: PhD Defense
Speaker: Seonghyeon MoonLocation:
Event Date: Wednesday, May 01, 2024 03:00pm
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Fair and Accurate Machine Learning in Dynamic and Multi-domain Settings
Event Type: PhD Defense
Speaker: Abdulaziz AlmuzainiLocation:
Event Date: Tuesday, April 23, 2024 11:00am - 01:00pm
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Tractability Frontiers in Coordinated Motion Planning
Event Type: Seminar
Speaker: Tzvika GeftLocation: SPR-402, 1 Spring Street
Event Date: Tuesday, April 16, 2024 03:30pm
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Backdoor in AI: Algorithms, Attacks, and Defenses
Event Type: Computer Science Department Colloquium
Speaker: Ruixiang (Ryan) TangLocation: CoRE 301
Event Date: Tuesday, April 02, 2024 10:30am
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Programmable Software Systems for Correct High-performance Applications
Event Type: Computer Science Department Colloquium
Speaker: Konstantinos KallasLocation: CoRE 301
Event Date: Monday, April 01, 2024 10:30am - 12:00pm
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Exploiting pre-trained large-scale text-to-image diffusion models for image & video editing
Event Type: Qualifying Exam
Speaker: Zhixing ZhangLocation: CoRE 305
Event Date: Friday, March 29, 2024 02:00pm - 04:00pm
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When and why do simpler-yet-accurate models exist?
Event Type: Computer Science Department Colloquium
Speaker: Lesia SemenovaLocation: CoRE 301
Event Date: Friday, March 29, 2024 10:30am - 12:00pm
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Automated Machine Learning for Intelligent Systems
Event Type: PhD Defense
Speaker: Zelong LiLocation: CoRE 305
Event Date: Wednesday, March 27, 2024 03:00pm - 05:00pm
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INTEGRATIVE CLINICAL AND BIOMECHANICAL FEATURES PREDICT IN-HOSPITAL TRAUMA MORTALITY
Event Type: Masters Defense
Speaker: Abhishek SawalkarLocation: https://rutgers.zoom.us/j/92961291043?pwd=MFNscUlWTzNVcWx4eStCc2x3TmhOZz09
Event Date: Tuesday, March 26, 2024 04:30pm - 05:30pm
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Building Networked Systems & Protocols for Terabit Ethernet
Event Type: Computer Science Department Colloquium
Speaker: Qizhe CaiLocation: CoRE 301
Event Date: Tuesday, March 26, 2024 10:30am - 12:00pm
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Types and Metaprogramming for Correct, Safe, and Performant Software Systems
Event Type: Computer Science Department Colloquium
Speaker: Guannan WeiLocation: CoRE 301
Event Date: Monday, March 25, 2024 10:30am - 12:00pm
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Learning from Interaction
Event Type: Computer Science Department Colloquium
Speaker: Kianté BrantleyLocation: CoRE 301
Event Date: Friday, March 22, 2024 10:30am - 12:00pm
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Reliable Machine Learning by Integrating Context
Event Type: Computer Science Department Colloquium
Speaker: Chengzhi MaoLocation: CoRE 301
Event Date: Thursday, March 21, 2024 10:30am - 12:00pm
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All-Norm Load Balancing in Massive Graphs
Event Type: PhD Defense
Speaker: Zachary LangleyLocation: CoRE 305
Event Date: Thursday, March 21, 2024 10:00am - 12:00am
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Techniques for Increasing the Efficiency of Physics Simulation
Event Type: Qualifying Exam
Speaker: Alon FlorLocation: CBIM #22
Event Date: Tuesday, March 19, 2024 02:00pm - 04:00pm
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Towards Optimal Sampling Algorithms
Event Type: Computer Science Department Colloquium
Speaker: Thuy-Duong “June” VuongLocation: CoRE 301
Event Date: Tuesday, March 19, 2024 10:30am - 12:00pm
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Quantum and Quantum-Inspired Computation for Next-Generation Wireless Networks
Event Type: Computer Science Department Colloquium
Speaker: Minsung KimLocation: CoRE 301
Event Date: Monday, March 18, 2024 10:30am - 12:00pm
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Large Language Models for Data Driven Applications
Event Type: PhD Defense
Speaker: Runhui WangLocation: FULLY REMOTE
Event Date: Friday, March 15, 2024 08:45pm - 10:00pm
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Fairness in Recommender Systems
Event Type: PhD Defense
Speaker: Yunqi LiLocation: CoRE 301
Event Date: Wednesday, March 13, 2024 04:00pm - 05:30pm
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Causal Collaborative Filtering
Event Type: PhD Defense
Speaker: Shuyuan XuLocation: CoRE 305
Event Date: Wednesday, March 13, 2024 09:00am - 11:00am
News & Events
Upcoming Events
| 16 Apr 2024; - 03:30PM - Tractability Frontiers in Coordinated Motion Planning |
| 23 Apr 2024; - 11:00AM - 01:00PM Fair and Accurate Machine Learning in Dynamic and Multi-domain Settings |
| 01 May 2024; - 03:00PM - Maximize Utilization of Support-Set for Few-shot segmentation |
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Department of Computer Science