Fred X. Han - RankMe

26 papers A* 11A 3Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Applying Graph Explanation to Operator Fusion. CoRR Keith G. Mills, Muhammad Fetrat Qharabagh, Weichen Qiu, Fred X. Han, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2025	A*	`conf`	FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. AAAI Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu
2024	J	`jnl`	Achieving Complex Image Edits via Function Aggregation with Diffusion Models. CoRR Mohammadreza Samadi, Fred X. Han, Mohammad Salameh, Hao Wu, Fengyu Sun, Chunhua Zhou, Di Niu
2024	A*	`conf`	Building Optimal Neural Architectures Using Interpretable Knowledge. CVPR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2024	J	`jnl`	Building Optimal Neural Architectures using Interpretable Knowledge. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu
2023	A	`conf`	A General-Purpose Transferable Predictor for Neural Architecture Search. SDM Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	J	`jnl`	A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu
2023	A*	`conf`	AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2023	A*	`conf`	AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu
2023	A*	`conf`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2022	J	`jnl`	AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui
2022	J	`jnl`	GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu
2021	J	`jnl`	Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui
2021	A*	`conf`	Generative Adversarial Neural Architecture Search. IJCAI Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	Generative Adversarial Neural Architecture Search. CoRR Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui
2021	J	`jnl`	L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	A	`conf`	L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	A	`conf`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2021	J	`jnl`	Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu
2020	A*	`conf`	Meta-Learning for Query Conceptualization at Web Scale. KDD Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long
2020	J	`jnl`	Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu
2019	A*	`conf`	A Deep Generative Approach to Search Extrapolation and Recommendation. KDD Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu
2019	A*	`conf`	Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu
2018	A*	`conf`	MIX: Multi-Channel Information Crossing for Text Matching. KDD Haolan Chen, Fred X. Han, Di Niu, Dong Liu, Kunfeng Lai, Chenglin Wu, Yu Xu
2018	A*	`conf`	Matching Natural Language Sentences with Hierarchical Sentence Factorization. WWW Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu
2018	J	`jnl`	Matching Natural Language Sentences with Hierarchical Sentence Factorization. CoRR Bang Liu, Ting Zhang, Fred X. Han, Di Niu, Kunfeng Lai, Yu Xu