Sezin Kircali Ata

According to our database, Sezin Kircali Ata authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Initialization Effect: Refining Bayesian Optimization for Circuit Design.

Anusha James, Zhi Hui Kong, Sezin Kircali Ata, Khin Mi Mi Aung, Kiat Seng Yeo, Chuan Sheng Foo, Ashish James

IEEE Trans. Circuits Syst. Artif. Intell., February, 2026

TDPNavigator-Placer: Thermal- and Wirelength-Aware Chiplet Placement in 2.5D Systems Through Multi-Agent Reinforcement Learning.

Yubo Hou, Furen Zhuang, Partha Pratim Kundu, Sezin Kircali Ata, Jie Wang, Mihai Dragos Rotaru, Rahul Dutta, Ashish James

CoRR, February, 2026

FAPlace: Joint Optimization of Chiplet Placement and Interposer Footprint for 2.5D Systems.

Yubo Hou, Sezin Kircali Ata, Gen Liang Lim, Richard Chang, Mihai Dragos Rotaru, Rahul Dutta, Ashish James

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

Learning to Place Chiplets: A Multi-Objective Reinforcement Learning Approach.

Richard Chang, Partha Pratim Kundu, Jun Liu, Dingjie Lu, Sezin Kircali Ata, Yubo Hou, Jie Wang, Gen Liang Lim, Sridhar Narayanaswamy, Mihai Dragos Rotaru, Rahul Dutta, Ashish James

Proceedings of the Great Lakes Symposium on VLSI 2026, 2026

2024

The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design.

Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James

Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Towards Safe and Efficient Analog Circuit Design: Active Learning for Feasibility Region Exploration.

Sezin Kircali Ata, Zhi-Hui Kong, Anusha James, Lile Cai, Kiat Seng Yeo, Khin Mi Mi Aung, Chuan Sheng Foo, Ashish James

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2024

2021

Multi-View Collaborative Network Embedding.

Sezin Kircali Ata, Yuan Fang, Min Wu, Jiaqi Shi, Chee Keong Kwoh, Xiaoli Li

ACM Trans. Knowl. Discov. Data, 2021

Recent advances in network-based methods for disease gene prediction.

Sezin Kircali Ata, Min Wu, Yuan Fang, Le Ou-Yang, Chee Keong Kwoh, Xiaoli Li

Briefings Bioinform., 2021

2019

Learning graph representations for disease gene prediction

Sezin Kircali Ata

PhD thesis, 2019