{
	"event_id": "1156937",
	"eventinstance_id": "4225171",
	"calendar": {
		"id": 5178,
		"title": "ECE Calendar",
		"slug": "ece-calendar",
		"url": "https://events.ucf.edu/calendar/5178/ece-calendar/"
	},
	"id": "4225171",
	"title": "ECE Computer Architecture Series: Chiyue Wei",
	"subtitle": null,
	"description": "\u003Cp\u003EJoin us for our next computer architecture seminar as we welcome Chiyue Wei, a doctoral candidate at Duke University. He will present \u0022Beyond Zero Skipping: Redundancy\u002DAware Architectures and Systems for Efficient AI Inference.\u0022\u003C/p\u003E\u000A\u003Cp\u003EWei is a doctoral candidate in electrical and computer engineering at Duke University, advised by Yiran Chen, Ph.D. His research focuses on computer architecture for efficient AI inference, with an emphasis on hardware\u0026ndash\u003Bsoftware co\u002Ddesign. He has 10 papers published in or accepted to leading computer architecture conferences, including ISCA, MICRO, HPCA and ASPLOS. His work received a Best Paper nomination at HPCA 2026. He has held internships at NVIDIA and Meta, working on AI inference software and accelerator architectures. He received his bachelor\u0026rsquo\u003Bs degree in electronic engineering from Tsinghua University in 2023.\u003C/p\u003E",
	"location": "Virtual",
	"location_url": null,
	"virtual_url": "https://ucf.zoom.us/j/5690634523",
	"registration_link": null,
	"registration_info": null,
	"starts": "Fri, 16 Oct 2026 12:00:00 -0400",
	"ends": "Fri, 16 Oct 2026 13:00:00 -0400",
	"ongoing": "False",
	"category": "Speaker/Lecture/Seminar",
	"tags": ["UCF Department of Electrical and Computer Engineering","computer architecture","research","Chiyue Wei"],
	"contact_name": "Di Wu",
	"contact_phone": null,
	"contact_email": "di.wu@ucf.edu",
	"url": "https://events.ucf.edu/event/4225171/ece-computer-architecture-series-chiyue-wei/"
}