Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Da-Cheng Juan

Uncertainty Modeling of Emerging Device-based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search


Jul 06, 2021
Zheyu Yan, Da-Cheng Juan, Xiaobo Sharon Hu, Yiyu Shi


  Access Paper or Ask Questions

CARLS: Cross-platform Asynchronous Representation Learning System


May 26, 2021
Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins


  Access Paper or Ask Questions

OmniNet: Omnidirectional Representations from Transformers


Mar 01, 2021
Yi Tay, Mostafa Dehghani, Vamsi Aribandi, Jai Gupta, Philip Pham, Zhen Qin, Dara Bahri, Da-Cheng Juan, Donald Metzler


  Access Paper or Ask Questions

Graph Autoencoders with Deconvolutional Networks


Dec 22, 2020
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins


  Access Paper or Ask Questions

Adversarial Robustness Across Representation Spaces


Dec 01, 2020
Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan


  Access Paper or Ask Questions

HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections


Jul 12, 2020
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan


  Access Paper or Ask Questions

Remix: Rebalanced Mixup


Jul 08, 2020
Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 14 pages, 4 figures 

  Access Paper or Ask Questions

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks


Jul 07, 2020
Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan

* 6 pages, 1 figure 

  Access Paper or Ask Questions

Synthesizer: Rethinking Self-Attention in Transformer Models


May 02, 2020
Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng


  Access Paper or Ask Questions

Low-Dimensional Hyperbolic Knowledge Graph Embeddings


May 01, 2020
Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré


  Access Paper or Ask Questions

Sparse Sinkhorn Attention


Feb 26, 2020
Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan


  Access Paper or Ask Questions

Learning with Hierarchical Complement Objective


Nov 17, 2019
Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan


  Access Paper or Ask Questions

Natural Adversarial Sentence Generation with Gradient-based Perturbation


Sep 06, 2019
Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh


  Access Paper or Ask Questions

COCO-GAN: Generation by Parts via Conditional Coordinating


Apr 16, 2019
Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

* All images are compressed due to size limit, please access the full-resolution version via: http://bit.ly/COCO-GAN-full 

  Access Paper or Ask Questions

Improving Adversarial Robustness via Guided Complement Entropy


Mar 23, 2019
Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan


  Access Paper or Ask Questions

Complement Objective Training


Mar 21, 2019
Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

* ICLR'19 Camera Ready 

  Access Paper or Ask Questions

Graph-RISE: Graph-Regularized Image Semantic Embedding


Feb 14, 2019
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi

* 9 pages, 7 figures 

  Access Paper or Ask Questions

InstaNAS: Instance-aware Neural Architecture Search


Nov 26, 2018
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun


  Access Paper or Ask Questions

Searching Toward Pareto-Optimal Device-Aware Neural Architectures


Aug 30, 2018
An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan

* ICCAD'18 Invited Paper 

  Access Paper or Ask Questions

Escaping from Collapsing Modes in a Constrained Space


Aug 22, 2018
Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen

* To appear in ECCV 2018 

  Access Paper or Ask Questions

DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures


Jul 25, 2018
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun

* 13 pages 9 figures, ECCV 2018 Camera Ready 

  Access Paper or Ask Questions

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning


Jun 27, 2018
Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang


  Access Paper or Ask Questions

HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks


Dec 06, 2017
Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu

* This conference paper will appear in the proceedings of DATE 2018 

  Access Paper or Ask Questions

NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks


Oct 15, 2017
Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu

* Accepted as a conference paper at ACML 2017 

  Access Paper or Ask Questions

DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters


Aug 14, 2017
You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang

* 13 pages, 5 figures, accepted by 2017 ECML PKDD 

  Access Paper or Ask Questions