research
∙
08/20/2023
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
The integration of a complex set of Electronic Design Automation (EDA) t...
share
research
∙
08/03/2023
Floorplet: Performance-aware Floorplan Framework for Chiplet Integration
A chiplet is an integrated circuit that encompasses a well-defined subse...
research
∙
05/23/2023
Decoupled Kullback-Leibler Divergence Loss
In this paper, we delve deeper into the Kullback-Leibler (KL) Divergence...
research
∙
05/12/2023
Towards Versatile and Efficient Visual Knowledge Injection into Pre-trained Language Models with Cross-Modal Adapters
Humans learn language via multi-modal knowledge. However, due to the tex...
research
∙
03/25/2023
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition
Multiple patterning lithography (MPL) is regarded as one of the most pro...
research
∙
03/18/2023
DevelSet: Deep Neural Level Set for Instant Mask Optimization
With the feature size continuously shrinking in advanced technology node...
research
∙
03/16/2023
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
Recent years have witnessed impressive progress in super-resolution (SR)...
research
∙
03/15/2023
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Lithography is fundamental to integrated circuit fabrication, necessitat...
research
∙
10/29/2022
Enabling Data Movement and Computation Pipelining in Deep Learning Compiler
Pipelining between data loading and computation is a critical tensor pro...
research
∙
09/26/2022
Generalized Parametric Contrastive Learning
In this paper, we propose the Generalized Parametric Contrastive Learnin...
research
∙
08/15/2022
Rethinking Graph Neural Networks for the Graph Coloring Problem
Graph coloring, a classical and critical NP-hard problem, is the problem...
research
∙
07/04/2022
PVDD: A Practical Video Denoising Dataset with Real-World Dynamic Scenes
To facilitate video denoising research, we construct a compelling datase...
research
∙
04/06/2022
DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors
Camera-based 3D object detectors are welcome due to their wider deployme...
research
∙
03/29/2022
Eventor: An Efficient Event-Based Monocular Multi-View Stereo Accelerator on FPGA Platform
Event cameras are bio-inspired vision sensors that asynchronously repres...
research
∙
09/28/2021
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
In this work, we revisit the prior mask guidance proposed in "Prior Guid...
research
∙
08/12/2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction
To synthesize a realistic action sequence based on a single human image,...
research
∙
07/26/2021
Parametric Contrastive Learning
In this paper, we propose Parametric Contrastive Learning (PaCo) to tack...
research
∙
07/14/2021
Linking Health News to Research Literature
Accurately linking news articles to scientific research works is a criti...
research
∙
03/07/2021
Routing Towards Discriminative Power of Class Capsules
Capsule networks are recently proposed as an alternative to modern neura...
research
∙
08/02/2020
Tensor Low-Rank Reconstruction for Semantic Segmentation
Context information plays an indispensable role in the success of semant...
research
∙
07/21/2020
DAMO: Deep Agile Mask Optimization for Full Chip Scale
Continuous scaling of the VLSI system leaves a great challenge on manufa...
research
∙
03/02/2020
TimingCamouflage+: Netlist Security Enhancement with Unconventional Timing (with Appendix)
With recent advances in reverse engineering, attackers can reconstruct a...
research
∙
12/16/2019
VLSI Mask Optimization: From Shallow To Deep Learning
VLSI mask optimization is one of the most critical stages in manufactura...
research
∙
12/12/2019
CAD Tool Design Space Exploration via Bayesian Optimization
The design complexity is increasing as the technology node keeps scaling...
research
∙
12/12/2019
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Machine learning-based lithography hotspot detection has been deeply stu...
research
∙
06/25/2019
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
There is substantial interest in the use of machine learning (ML) based ...
research
∙
12/27/2018
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems
Deep Neural Networks (DNNs) have been widely applied in many autonomous ...
research
∙
09/20/2018
OpenMPL: An Open Source Layout Decomposer
Multiple patterning lithography has been widely adopted in advanced tech...
research
∙
09/01/2018
DAC-SDC Low Power Object Detection Challenge for UAV Applications
The 55th Design Automation Conference (DAC) held its first System Design...
research
∙
07/26/2018
A Unified Approximation Framework for Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
research
∙
07/26/2018
A Unified Approximation Framework for Non-Linear Deep Neural Networks
Deep neural networks (DNNs) have achieved significant success in a varie...
research
∙
07/23/2018
Recent Advances in Convolutional Neural Network Acceleration
In recent years, convolutional neural networks (CNNs) have shown great p...
research
∙
07/18/2018
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach
In spite of maturity to the modern electronic design automation (EDA) to...
research
∙
07/13/2018
Bridging the Gap Between Layout Pattern Sampling and Hotspot Detection via Batch Active Learning
Layout hotpot detection is one of the main steps in modern VLSI design. ...
research
∙
03/07/2018