Da-Cheng Juan

According to our database1, Da-Cheng Juan authored at least 69 papers between 2007 and 2023.

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Bibliography

2023
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback.
CoRR, 2023

Substance or Style: What Does Your Image Embedding Know?
CoRR, 2023

LayerNAS: Neural Architecture Search in Polynomial Complexity.
CoRR, 2023

RARR: Researching and Revising What Language Models Say, Using Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Attributed Text Generation via Post-hoc Research and Revision.
CoRR, 2022

Representative Image Feature Extraction via Contrastive Learning Pretraining for Chest X-ray Report Generation.
CoRR, 2022

2021
Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module.
CoRR, 2021

CARLS: Cross-platform Asynchronous Representation Learning System.
CoRR, 2021

Switch Spaces: Learning Product Spaces with Sparse Gating.
CoRR, 2021

Neural Structured Learning: Training Neural Networks with Structured Signals.
Proceedings of the WSDM '21, 2021

Synthesizer: Rethinking Self-Attention for Transformer Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

OmniNet: Omnidirectional Representations from Transformers.
Proceedings of the 38th International Conference on Machine Learning, 2021

HyperGrid Transformers: Towards A Single Model for Multiple Tasks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Adversarial Robustness Across Representation Spaces.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Uncertainty Modeling of Emerging Device based Computing-in-Memory Neural Accelerators with Application to Neural Architecture Search.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

"Does it Matter When I Think You Are Lying?" Improving Deception Detection by Integrating Interlocutor's Judgements in Conversations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Graph Autoencoders with Deconvolutional Networks.
CoRR, 2020

HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections.
CoRR, 2020

Calibrated BatchNorm: Improving Robustness Against Noisy Weights in Neural Networks.
CoRR, 2020

Ultra Fine-Grained Image Semantic Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Structured Learning: Training Neural Networks with Structured Signals.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Sparse Sinkhorn Attention.
Proceedings of the 37th International Conference on Machine Learning, 2020

Question Answering with Long Multiple-Span Answers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

AirConcierge: Generating Task-Oriented Dialogue via Efficient Large-Scale Knowledge Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Remix: Rebalanced Mixup.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Low-Dimensional Hyperbolic Knowledge Graph Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

InstaNAS: Instance-Aware Neural Architecture Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Learning with Hierarchical Complement Objective.
CoRR, 2019

Natural Adversarial Sentence Generation with Gradient-based Perturbation.
CoRR, 2019

Graph-RISE: Graph-Regularized Image Semantic Embedding.
CoRR, 2019

Hierarchical LSTM: Modeling Temporal Dynamics and Taxonomy in Location-Based Mobile Check-Ins.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Complement Objective Training.
Proceedings of the 7th International Conference on Learning Representations, 2019

COCO-GAN: Generation by Parts via Conditional Coordinating.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Improving Adversarial Robustness via Guided Complement Entropy.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On the Robustness of Self-Attentive Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

A2N: Attending to Neighbors for Knowledge Graph Inference.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning.
CoRR, 2018

PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures.
Proceedings of the 6th International Conference on Learning Representations, 2018

Searching toward pareto-optimal device-aware neural architectures.
Proceedings of the International Conference on Computer-Aided Design, 2018

DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures.
Proceedings of the Computer Vision - ECCV 2018, 2018

Escaping from Collapsing Modes in a Constrained Space.
Proceedings of the Computer Vision - ECCV 2018, 2018

HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.
CoRR, 2017

DC-Prophet: Predicting Catastrophic Machine Failures in DataCenters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

M3A: Model, MetaModel and Anomaly Detection for Inter-arrivals of Web Searches and Postings.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks.
Proceedings of The 9th Asian Conference on Machine Learning, 2017

2016
A Support Vector Regression (SVR)-Based Latency Model for Network-on-Chip (NoC) Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

Learning-Based Power/Performance Optimization for Many-Core Systems With Extended-Range Voltage/Frequency Scaling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2016

A two-level approximate model driven framework for characterizing Multi-Cell Upsets impacts on processors.
Microelectron. J., 2016

M3A: Model, MetaModel, and Anomaly Detection in Web Searches.
CoRR, 2016

2015
Exploiting component dependency for accurate and efficient soft error analysis via Probabilistic Graphical Models.
Microelectron. Reliab., 2015

Effective CAD Research in the Sea of Papers.
Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Understanding and Using Heterogeneity for High Performance, Energy Efficient Computing: Special Session Extended Abstract.
Proceedings of the 20th International Conference on Control Systems and Computer Science, 2015

2014
A Learning-Based Framework Incorporating Domain Knowledge for Performance Modeling.
PhD thesis, 2014

Statistical Peak Temperature Prediction and Thermal Yield Improvement for 3D Chip Multiprocessors.
ACM Trans. Design Autom. Electr. Syst., 2014

Beyond Poisson: Modeling Inter-Arrival Time of Requests in a Datacenter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

A comprehensive and accurate latency model for Network-on-Chip performance analysis.
Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013
Impact of manufacturing process variations on performance and thermal characteristics of 3D ICs: Emerging challenges and new solutions.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

SVR-NoC: a performance analysis tool for network-on-chips using learning-based support vector regression model.
Proceedings of the Design, Automation and Test in Europe, 2013

Learning the optimal operating point for many-core systems with extended range voltage/frequency scaling.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013

2012
Power-aware performance increase via core/uncore reinforcement control for chip-multiprocessors.
Proceedings of the International Symposium on Low Power Electronics and Design, 2012

Statistical thermal modeling and optimization considering leakage power variations.
Proceedings of the 2012 Design, Automation & Test in Europe Conference & Exhibition, 2012

A learning-based autoregressive model for fast transient thermal analysis of chip-multiprocessors.
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012

2011
Statistical thermal evaluation and mitigation techniques for 3D Chip-Multiprocessors in the presence of process variations.
Proceedings of the Design, Automation and Test in Europe, 2011

2010
An Efficient Wake-Up Strategy Considering Spurious Glitches Phenomenon for Power Gating Designs.
IEEE Trans. Very Large Scale Integr. Syst., 2010

Sleep Transistor Sizing for Leakage Power Minimization Considering Temporal Correlation.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010

2007
An efficient wake-up schedule during power mode transition considering spurious glitches phenomenon.
Proceedings of the 2007 International Conference on Computer-Aided Design, 2007

Fine-Grained Sleep Transistor Sizing Algorithm for Leakage Power Minimization.
Proceedings of the 44th Design Automation Conference, 2007


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