Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDDa-Cheng Juan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
[c36]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-Aware Neural Architecture Search. AAAI 2020: 3577-3584- [c35]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. ACL 2020: 6901-6914 - [c34]Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Remix: Rebalanced Mixup. ECCV Workshops (6) 2020: 95-110 - [c33]Chieh-Yang Chen, Pei-Hsin Wang, Shih-Chieh Chang, Da-Cheng Juan, Wei Wei, Jia-Yu Pan:
AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval. EMNLP (Findings) 2020: 884-897 - [c32]Ming Zhu, Aman Ahuja, Da-Cheng Juan, Wei Wei, Chandan K. Reddy:
Question Answering with Long Multiple-Span Answers. EMNLP (Findings) 2020: 3840-3849 - [c31]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. ICML 2020: 9438-9447 - [c30]Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu:
Neural Structured Learning: Training Neural Networks with Structured Signals. KDD 2020: 3501-3502 - [c29]Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS 2020 - [c28]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Ultra Fine-Grained Image Semantic Embedding. WSDM 2020: 277-285 - [i23]Yi Tay, Dara Bahri, Liu Yang, Donald Metzler, Da-Cheng Juan:
Sparse Sinkhorn Attention. CoRR abs/2002.11296 (2020) - [i22]Ines Chami, Adva Wolf, Da-Cheng Juan, Frederic Sala, Sujith Ravi, Christopher Ré:
Low-Dimensional Hyperbolic Knowledge Graph Embeddings. CoRR abs/2005.00545 (2020) - [i21]Yi Tay, Dara Bahri, Donald Metzler, Da-Cheng Juan, Zhe Zhao, Che Zheng:
Synthesizer: Rethinking Self-Attention in Transformer Models. CoRR abs/2005.00743 (2020) - [i20]Li-Huang Tsai, Shih-Chieh Chang, Yu-Ting Chen, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks. CoRR abs/2007.03230 (2020) - [i19]Hsin-Ping Chou, Shih-Chieh Chang, Jia-Yu Pan, Wei Wei, Da-Cheng Juan:
Remix: Rebalanced Mixup. CoRR abs/2007.03943 (2020) - [i18]Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan:
HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. CoRR abs/2007.05891 (2020) - [i17]Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CoRR abs/2012.00802 (2020) - [i16]Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020)
2010 – 2019
- 2019
- [c27]Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
On the Robustness of Self-Attentive Models. ACL (1) 2019: 1520-1529 - [c26]Trapit Bansal, Da-Cheng Juan, Sujith Ravi, Andrew McCallum:
A2N: Attending to Neighbors for Knowledge Graph Inference. ACL (1) 2019: 4387-4392 - [c25]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. ICCV 2019: 4511-4520 - [c24]Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. ICCV 2019: 4880-4888 - [c23]Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. ICLR (Poster) 2019 - [c22]Chun-Hao Liu, Da-Cheng Juan, Xuan-An Tseng, Wei Wei, Yu-Ting Chen, Jia-Yu Pan, Shih-Chieh Chang:
Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins. PAKDD (2) 2019: 217-228 - [i15]Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi:
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR abs/1902.10814 (2019) - [i14]Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Complement Objective Training. CoRR abs/1903.01182 (2019) - [i13]Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Improving Adversarial Robustness via Guided Complement Entropy. CoRR abs/1903.09799 (2019) - [i12]Chieh Hubert Lin, Chia-Che Chang, Yu-Sheng Chen, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
COCO-GAN: Generation by Parts via Conditional Coordinating. CoRR abs/1904.00284 (2019) - [i11]Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh:
Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR abs/1909.04495 (2019) - [i10]Hao-Yun Chen, Li-Huang Tsai, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Learning with Hierarchical Complement Objective. CoRR abs/1911.07257 (2019) - 2018
- [c21]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu
:
HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks. DATE 2018: 19-24 - [c20]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. ECCV (7) 2018: 212-227 - [c19]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. ECCV (11) 2018: 540-555 - [c18]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:
Searching toward pareto-optimal device-aware neural architectures. ICCAD 2018: 136 - [c17]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. ICLR (Workshop) 2018 - [i9]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. CoRR abs/1806.08198 (2018) - [i8]Chi-Hung Hsu, Shu-Huan Chang, Da-Cheng Juan, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Shih-Chieh Chang:
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning. CoRR abs/1806.10332 (2018) - [i7]Chia-Che Chang, Chieh Hubert Lin, Che-Rung Lee, Da-Cheng Juan, Wei Wei, Hwann-Tzong Chen:
Escaping from Collapsing Modes in a Constrained Space. CoRR abs/1808.07258 (2018) - [i6]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:
Searching Toward Pareto-Optimal Device-Aware Neural Architectures. CoRR abs/1808.09830 (2018) - [i5]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-aware Neural Architecture Search. CoRR abs/1811.10201 (2018) - 2017
- [c16]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. ACML 2017: 622-637 - [c15]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings. DSAA 2017: 341-350 - [c14]You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang:
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. ECML/PKDD (3) 2017: 64-76 - [i4]You-Luen Lee, Da-Cheng Juan, Xuan-An Tseng, Yu-Ting Chen, Shih-Chieh Chang:
DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters. CoRR abs/1709.06537 (2017) - [i3]Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu:
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. CoRR abs/1710.05420 (2017) - [i2]Dimitrios Stamoulis, Ermao Cai, Da-Cheng Juan, Diana Marculescu:
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks. CoRR abs/1712.02446 (2017) - 2016
- [j7]Jiajia Jiao, Diana Marculescu, Da-Cheng Juan, Yuzhuo Fu:
A two-level approximate model driven framework for characterizing Multi-Cell Upsets impacts on processors. Microelectron. J. 48: 7-17 (2016) - [j6]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(3): 471-484 (2016) - [j5]Ermao Cai, Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning-Based Power/Performance Optimization for Many-Core Systems With Extended-Range Voltage/Frequency Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35(8): 1318-1331 (2016) - [i1]Da-Cheng Juan, Neil Shah, Mingyu Tang, Zhiliang Qian, Diana Marculescu, Christos Faloutsos:
M3A: Model, MetaModel, and Anomaly Detection in Web Searches. CoRR abs/1606.05978 (2016) - 2015
- [j4]Jiajia Jiao, Da-Cheng Juan, Diana Marculescu, Yuzhuo Fu:
Exploiting component dependency for accurate and efficient soft error analysis via Probabilistic Graphical Models. Microelectron. Reliab. 55(1): 251-263 (2015) - [c13]Diana Marculescu, Da-Cheng Juan, Guangshuo Liu:
Understanding and Using Heterogeneity for High Performance, Energy Efficient Computing: Special Session Extended Abstract. CSCS 2015: 1000 - [c12]Jinglan Liu, Da-Cheng Juan, Yiyu Shi:
Effective CAD Research in the Sea of Papers. ICCAD 2015: 781-785 - 2014
- [j3]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical Peak Temperature Prediction and Thermal Yield Improvement for 3D Chip Multiprocessors. ACM Trans. Design Autom. Electr. Syst. 19(4): 39:1-39:23 (2014) - [c11]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
A comprehensive and accurate latency model for Network-on-Chip performance analysis. ASP-DAC 2014: 323-328 - [c10]Da-Cheng Juan, Lei Li, Huan-Kai Peng, Diana Marculescu, Christos Faloutsos:
Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter. PAKDD (2) 2014: 198-209 - 2013
- [c9]Da-Cheng Juan, Siddharth Garg, Jinpyo Park, Diana Marculescu:
Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling. CODES+ISSS 2013: 8:1-8:10 - [c8]Zhiliang Qian, Da-Cheng Juan, Paul Bogdan, Chi-Ying Tsui, Diana Marculescu, Radu Marculescu:
SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model. DATE 2013: 354-357 - [c7]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Impact of manufacturing process variations on performance and thermal characteristics of 3D ICs: Emerging challenges and new solutions. ISCAS 2013: 541-544 - 2012
- [c6]Da-Cheng Juan, Huapeng Zhou, Diana Marculescu, Xin Li:
A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors. ASP-DAC 2012: 597-602 - [c5]Da-Cheng Juan, Yi-Lin Chuang, Diana Marculescu, Yao-Wen Chang:
Statistical thermal modeling and optimization considering leakage power variations. DATE 2012: 605-610 - [c4]Da-Cheng Juan, Diana Marculescu:
Power-aware performance increase via core/uncore reinforcement control for chip-multiprocessors. ISLPED 2012: 97-102 - 2011
- [c3]Da-Cheng Juan, Siddharth Garg, Diana Marculescu:
Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations. DATE 2011: 383-388 - 2010
- [j2]De-Shiuan Chiou, Yu-Ting Chen, Da-Cheng Juan, Shih-Chieh Chang:
Sleep Transistor Sizing for Leakage Power Minimization Considering Temporal Correlation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(8): 1285-1289 (2010) - [j1]Da-Cheng Juan, Yu-Ting Chen, Ming-Chao Lee, Shih-Chieh Chang:
An Efficient Wake-Up Strategy Considering Spurious Glitches Phenomenon for Power Gating Designs. IEEE Trans. Very Large Scale Integr. Syst. 18(2): 246-255 (2010)
2000 – 2009
- 2007
- [c2]De-Shiuan Chiou, Da-Cheng Juan, Yu-Ting Chen, Shih-Chieh Chang:
Fine-Grained Sleep Transistor Sizing Algorithm for Leakage Power Minimization. DAC 2007: 81-86 - [c1]Yu-Ting Chen, Da-Cheng Juan, Ming-Chao Lee, Shih-Chieh Chang:
An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon. ICCAD 2007: 779-782
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-01-21 00:19 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
