no code implementations • 27 Oct 2023 • Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan
Existing graph matching methods typically assume that there are similar structures between graphs and they are matchable.
no code implementations • 19 Oct 2022 • Zetian Jiang, Jiaxin Lu, Tianzhe Wang, Junchi Yan
We consider the general setting for partial matching of two or multiple graphs, in the sense that not necessarily all the nodes in one graph can find their correspondences in another graph and vice versa.
no code implementations • ICLR 2022 • Sungsoo Ahn, Binghong Chen, Tianzhe Wang, Le Song
In this paper, we explore the problem of generating molecules using deep neural networks, which has recently gained much interest in chemistry.
no code implementations • ICLR 2021 • Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Optimizing molecules for desired properties is a fundamental yet challenging task in chemistry, material science and drug discovery.
1 code implementation • CVPR 2020 • Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han
However, training this quantization-aware accuracy predictor requires collecting a large number of quantized <model, accuracy> pairs, which involves quantization-aware finetuning and thus is highly time-consuming.
1 code implementation • ICLR 2020 • Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han
Most of the traditional approaches either manually design or use neural architecture search (NAS) to find a specialized neural network and train it from scratch for each case, which is computationally expensive and unscalable.
10 code implementations • 26 Aug 2019 • Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han
On diverse edge devices, OFA consistently outperforms state-of-the-art (SOTA) NAS methods (up to 4. 0% ImageNet top1 accuracy improvement over MobileNetV3, or same accuracy but 1. 5x faster than MobileNetV3, 2. 6x faster than EfficientNet w. r. t measured latency) while reducing many orders of magnitude GPU hours and $CO_2$ emission.
Ranked #76 on Neural Architecture Search on ImageNet