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ORCIDFred X. Han
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2020 – today
- 2024
[c14]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures Using Interpretable Knowledge. CVPR 2024: 5726-5735- [c13]Bahador Rashidi, Shan Lu, Kiarash Aghakasiri, Chao Gao, Fred Xuefei Han, Zhisheng Wang, Laiyuan Gong, Fengyu Sun:
CASCO: Cascaded Co-Optimization for Holistic Neural Network Acceleration. DATE 2024: 1-6 - [i9]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures using Interpretable Knowledge. CoRR abs/2403.13293 (2024) - [i8]Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu:
Achieving Complex Image Edits via Function Aggregation with Diffusion Models. CoRR abs/2408.08495 (2024) - 2023
- [c12]Keith G. Mills
, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI 2023: 9180-9189 - [c11]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI 2023: 9190-9199 - [c10]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - [c9]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM 2023: 721-729 - [i7]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR abs/2302.10835 (2023) - 2022
- [i6]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR abs/2211.17226 (2022) - [i5]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR abs/2211.17228 (2022) - 2021
- [j2]Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui:
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9: 110962-110974 (2021) - [c8]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM 2021: 1284-1293 - [c7]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM 2021: 4026-4035 - [c6]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. IJCAI 2021: 2227-2234 - [i4]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. CoRR abs/2105.09356 (2021) - [i3]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR abs/2109.12425 (2021) - [i2]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR abs/2109.12426 (2021) - 2020
- [j1]Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu:
Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data 14(3): 31:1-31:28 (2020) - [c5]Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long:
Meta-Learning for Query Conceptualization at Web Scale. KDD 2020: 3064-3073
2010 – 2019
- 2019
- [c4]Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu:
A Deep Generative Approach to Search Extrapolation and Recommendation. KDD 2019: 1771-1779 - [c3]Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu:
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW 2019: 2792-2798 - 2018
- [c2]Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu:
MIX: Multi-Channel Information Crossing for Text Matching. KDD 2018: 110-119 - [c1]Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu:
Matching Natural Language Sentences with Hierarchical Sentence Factorization. WWW 2018: 1237-1246 - [i1]Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu:
Matching Natural Language Sentences with Hierarchical Sentence Factorization. CoRR abs/1803.00179 (2018)
Coauthor Index
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