Fred X. Han

According to our database, Fred X. Han authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Achieving Complex Image Edits via Function Aggregation with Diffusion Models.

Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu

CoRR, 2024

CASCO: Cascaded Co-Optimization for Holistic Neural Network Acceleration.

Bahador Rashidi, Shan Lu, Kiarash Aghakasiri, Chao Gao, Fred Xuefei Han, Zhisheng Wang, Laiyuan Gong, Fengyu Sun

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

Building Optimal Neural Architectures Using Interpretable Knowledge.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu

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

2023

A General-Purpose Transferable Predictor for Neural Architecture Search.

Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu

Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution.

Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AIO-P: Expanding Neural Performance Predictors beyond Image Classification.

Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

GENNAPE: Towards Generalized Neural Architecture Performance Estimators.

Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

CoRR, 2021

Exploring Neural Architecture Search Space via Deep Deterministic Sampling.

Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui

IEEE Access, 2021

Generative Adversarial Neural Architecture Search.

Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search.

Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning.

Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Story Forest: Extracting Events and Telling Stories from Breaking News.

Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu

ACM Trans. Knowl. Discov. Data, 2020

Meta-Learning for Query Conceptualization at Web Scale.

Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network.

Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu

Proceedings of the World Wide Web Conference, 2019

A Deep Generative Approach to Search Extrapolation and Recommendation.

Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Matching Natural Language Sentences with Hierarchical Sentence Factorization.

Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

MIX: Multi-Channel Information Crossing for Text Matching.

Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018