Search Results for author: Jian Cao

Found 16 papers, 4 papers with code

Hybrid full-field thermal characterization of additive manufacturing processes using physics-informed neural networks with data

1 code implementation15 Jun 2022 Shuheng Liao, Tianju Xue, Jihoon Jeong, Samantha Webster, Kornel Ehmann, Jian Cao

Specifically, partially observed temperature data measured from an infrared camera is combined with the physics laws to predict full-field temperature history and to discover unknown material and process parameters.

Transfer Learning

Masked Distillation with Receptive Tokens

1 code implementation29 May 2022 Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

To obtain a group of masks, the receptive tokens are learned via the regular task loss but with teacher fixed, and we also leverage a Dice loss to enrich the diversity of learned masks.

object-detection Object Detection +1

RAPQ: Rescuing Accuracy for Power-of-Two Low-bit Post-training Quantization

1 code implementation26 Apr 2022 Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang

We are the first to propose the more constrained but hardware-friendly Power-of-Two quantization scheme for low-bit PTQ specially and prove that it can achieve nearly the same accuracy as SOTA PTQ method.


Scalable Gaussian-process regression and variable selection using Vecchia approximations

1 code implementation25 Feb 2022 Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss

Gaussian process (GP) regression is a flexible, nonparametric approach to regression that naturally quantifies uncertainty.

Variable Selection

AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance

no code implementations14 Sep 2021 Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang

While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.

Image Classification Neural Architecture Search

Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents

no code implementations5 Aug 2021 Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, Shuo Feng

This method uses distillation to effectively avoid the weakness of STBP, which can achieve SOTA performance in classification, and can obtain a smaller, faster convergence and lower power consumption SNN reinforcement learning model.


TFROM: A Two-sided Fairness-Aware Recommendation Model for Both Customers and Providers

no code implementations19 Apr 2021 Yao Wu, Jian Cao, Guandong Xu, Yudong Tan

In this paper, we consider recommendation scenarios from the perspective of two sides (customers and providers).

Fairness Recommendation Systems

A Lossless Intra Reference Block Recompression Scheme for Bandwidth Reduction in HEVC-IBC

no code implementations5 Apr 2021 Jiyuan Hu, Jun Wang, Guangyu Zhong, Jian Cao, Ren Mao, Fan Liang

The reference frame memory accesses in inter prediction result in high DRAM bandwidth requirement and power consumption.

Texture Classification

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions

no code implementations24 Feb 2021 Maya Srikanth, Anqi Liu, Nicholas Adams-Cohen, Jian Cao, R. Michael Alvarez, Anima Anandkumar

However, collecting social media data using a static set of keywords fails to satisfy the growing need to monitor dynamic conversations and to study fast-changing topics.

Decision Making Time Series

Evaluation of the systematic shifts of a ${}^{40}\textrm{Ca}^+-{}^{27}\textrm{Al}^+$ optical clock

no code implementations10 Dec 2020 Kaifeng Cui, Sijia Chao, Chenglong Sun, Shaomao Wang, Ping Zhang, Yuanfei Wei, Jian Cao, Hualin Shu, Xueren Huang

Quantum-logic-based ${}^{27}\textrm{Al}^+$ optical clock has been demonstrated in several schemes as there are different choices of the auxiliary ion species.

Atomic Physics

FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint

no code implementations2 Dec 2020 Yao Wu, Jian Cao, Guandong Xu

In this paper, we propose a novel metric Top-N Fairness to measure the individual fairness of multi-round recommendations of services with capacity constraints.

Fairness Recommendation Systems

An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution

no code implementations2 Dec 2020 Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Pu Li

We propose an efficient once-for-all budgeted pruning framework (OFARPruning) to find many compact network structures close to winner tickets in the early training stage considering the effect of input resolution during the pruning process.

Image Classification object-detection +1

Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks

no code implementations29 Nov 2020 Pengtao Xu, Jian Cao, Fanhua Shang, Wenyu Sun, Pu Li

For layer pruning, we convert convolutional layers of network into ResConv with a layer scaling factor.

Toolpath design for additive manufacturing using deep reinforcement learning

no code implementations30 Sep 2020 Mojtaba Mozaffar, Ablodghani Ebrahimi, Jian Cao

Toolpath optimization of metal-based additive manufacturing processes is currently hampered by the high-dimensionality of its design space.


A real-time iterative machine learning approach for temperature profile prediction in additive manufacturing processes

no code implementations28 Jul 2019 Arindam Paul, Mojtaba Mozaffar, Zijiang Yang, Wei-keng Liao, Alok Choudhary, Jian Cao, Ankit Agrawal

As the process for creating an intricate part for an expensive metal such as Titanium is prohibitive with respect to cost, computational models are used to simulate the behavior of AM processes before the experimental run.

BIG-bench Machine Learning

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