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Chung-Ting Tsai 0002

dblp:164/5784-2 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0009-0877-5795ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Artificial intelligence
1 paper
Generative modeling · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › physical design
legalization
0.912025
Clearance-Constrained PCB Global Placement with Heterogeneous Components · DAC 2025
Electronic design automation › physical design › placement › module placement
PCB placement
0.912025
Clearance-Constrained PCB Global Placement with Heterogeneous Components · DAC 2025
Electronic design automation
physical design
0.912025
Clearance-Constrained PCB Global Placement with Heterogeneous Components · DAC 2025
Electronic design automation › physical design
placement
0.912025
Clearance-Constrained PCB Global Placement with Heterogeneous Components · DAC 2025
Machine learning › Generative modeling › concept erasure
concept erasing in text-to-image diffusion
0.812024
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers · ECCV (40) 2024
Machine learning › Generative modeling
concept erasure
0.812024
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers · ECCV (40) 2024
Machine learning › Generative modeling
diffusion model
0.212024
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers · ECCV (40) 2024
Machine learning › Generative modeling › diffusion model
text-to-image generation
0.212024
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers · ECCV (40) 2024

Methods — techniques the papers use, named apart from their topics

wire-area model · 0.9quadratic programming · 0.9clearance model · 0.9lightweight erasers · 0.8
YearPublicationVenuePosition
2025 Clearance-Constrained PCB Global Placement with Heterogeneous Components
abstract
The complexity of design rules and intense time-to-market demands have made auto-placement tools essential for advanced printed circuit board (PCB) designs. This paper presents a novel PCB placement framework to handle pad-to-pad clearance constraints and heterogeneous components to address these challenges. Unlike existing academic placers, our framework focuses on the following key features: a wire-area model to account for various routing resource needs between power and signal nets, a pad-to-pad clearance model to minimize spacing violations, and a two-sided, pad-type-aware density model to reduce component and pad overlap. We further develop a quadratic programming-based legalizer to resolve constraint violations among components of varying shapes. Experimental results show the effectiveness and efficiency of our framework, surpassing two state-of-theart academic placers in post-routing quality on both academic and industrial benchmarks.
Yan-Jen Chen, Wei-Kai Huang, Chung-Ting Tsai 0002, Chiao-Yu Ou, Yao-Wen Chang
DAC3
2024 Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai 0002, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang
ECCV (40)3