Mills, Keith G.

10 publications

TMLR 2025 FP4DiT: Towards Effective Floating Point Quantization for Diffusion Transformers Ruichen Chen, Keith G. Mills, Di Niu

AAAI 2025 Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models Keith G. Mills, Mohammad Salameh, Ruichen Chen, Negar Hassanpour, Wei Lu, Di Niu

NeurIPS 2025 Re-Ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape Ruichen Chen, Keith G. Mills, Liyao Jiang, Chao Gao, Di Niu

CVPR 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

ICML 2024 EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time Shengyao Lu, Bang Liu, Keith G Mills, Jiao He, Di Niu

ICLR 2024 GOAt: Explaining Graph Neural Networks via Graph Output Attribution Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu

AAAI 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

AAAI 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

ICLR 2022 R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu

IJCAI 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