Tunhou Zhang

According to our database, Tunhou Zhang authored at least 20 papers between 2019 and 2024.

Collaborative distances:

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

2024

Toward Fully Automated Machine Learning for Routability Estimator Development.

Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Tunhou Zhang, Jiang Hu, Yiran Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2024

Towards Automated Model Design on Recommender Systems.

Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Yudong Liu, Feng Cheng, Yufan Cao, Feng Yan, Hai Li, Yiran Chen, Wei Wen

CoRR, 2024

Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS.

Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen

CoRR, 2024

Peeking Behind the Curtains of Residual Learning.

Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen

CoRR, 2024

Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention.

Rengan Xu, Junjie Yang, Yifan Xu, Hong Li, Xing Liu, Devashish Shankar, Haoci Zhang, Meng Liu, Boyang Li, Yuxi Hu, Mingwei Tang, Zehua Zhang, Tunhou Zhang, Dai Li, Sijia Chen, Gian-Paolo Musumeci, Jiaqi Zhai, Bill Zhu, Hong Yan, Srihari Reddy

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

CSCO: Connectivity Search of Convolutional Operators.

Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DistDNAS: Search Efficient Feature Interactions within 2 Hours.

Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen

Proceedings of the IEEE International Conference on Big Data, 2024

2023

Farthest Greedy Path Sampling for Two-shot Recommender Search.

Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen

CoRR, 2023

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems.

Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen

Proceedings of the ACM Web Conference 2023, 2023

: Joint Point Interaction-Dimension Search for 3D Point Cloud.

Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search.

Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud.

Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

CoRR, 2022

Towards collaborative intelligence: routability estimation based on decentralized private data.

Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Ang Li, Minxue Tang, Tunhou Zhang, Jiang Hu, Yiran Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Automatic Routability Predictor Development Using Neural Architecture Search.

Chen-Chia Chang, Jingyu Pan, Tunhou Zhang, Zhiyao Xie, Jiang Hu, Weiyi Qi, Chung-Wei Lin, Rongjian Liang, Joydeep Mitra, Elias Fallon, Yiran Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

AI-Powered IoT System at the Edge.

Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

NASGEM: Neural Architecture Search via Graph Embedding Method.

Hsin-Pai Cheng, Tunhou Zhang, Shiyu Li, Feng Yan, Meng Li, Vikas Chandra, Hai Helen Li, Yiran Chen

CoRR, 2020

AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture.

Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SwiftNet: Using Graph Propagation as Meta-knowledge to Search Highly Representative Neural Architectures.

Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Shiyu Li, Harris Teague, Hai Helen Li, Yiran Chen

CoRR, 2019

MSNet: Structural Wired Neural Architecture Search for Internet of Things.

Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019