Search Results for author: Jun Yang

Found 42 papers, 5 papers with code

Stereographic Markov Chain Monte Carlo

no code implementations24 May 2022 Jun Yang, Krzysztof Łatuszyński, Gareth O. Roberts

High dimensional distributions, especially those with heavy tails, are notoriously difficult for off-the-shelf MCMC samplers: the combination of unbounded state spaces, diminishing gradient information, and local moves, results in empirically observed "stickiness" and poor theoretical mixing properties -- lack of geometric ergodicity.

Improved Multi-step FCS-MPCC with Disturbance Compensation for PMSM Drives -- Methods and Experimental Validation

no code implementations15 May 2022 Hai Yang, Yibin Liu, Junxiao Wang, Jun Yang

In this paper, an improved multi-step finite control set model predictive current control (FCS-MPCC) strategy with speed loop disturbance compensation is proposed for permanent magnet synchronous machine (PMSM) drives system.

A distributionally robust optimization approach to two-sided chance constrained stochastic model predictive control with unknown noise distribution

no code implementations16 Mar 2022 Yuan Tan, Jun Yang, Wen-Hua Chen, Shihua Li

In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of two-sided chance constrained discrete-time linear system corrupted by additive noise.

Multi-step dual control for exploration and exploitation in autonomous search with convergence guarantee

no code implementations12 Mar 2022 Yuan Tan, Jun Yang, Wen-Hua Chen, Shihua Li

Motivated by the recently proposed dual control for exploration and exploitation (DCEE) concept, this paper presents a Multi-Step DCEE (MS-DCEE) framework with guaranteed convergence for autonomous search of a source of airborne dispersion.

Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects

no code implementations27 Feb 2022 Jun Yang, Steven L. Waslander

Depth acquisition with the active stereo camera is a challenging task for highly reflective objects.

Depth Completion Pose Estimation

AI in Games: Techniques, Challenges and Opportunities

no code implementations15 Nov 2021 Qiyue Yin, Jun Yang, Wancheng Ni, Bin Liang, Kaiqi Huang

With breakthrough of AlphaGo, AI in human-computer game has become a very hot topic attracting researchers all around the world, which usually serves as an effective standard for testing artificial intelligence.

Decision Making

Exposing Deepfake with Pixel-wise AR and PPG Correlation from Faint Signals

no code implementations29 Oct 2021 Maoyu Mao, Jun Yang

This scheme extracts two types of minute information hidden between face pixels-photoplethysmography (PPG) features and auto-regressive (AR) features, which are used as the basis for forensics in the temporal and spatial domains, respectively.

Face Swapping Photoplethysmography (PPG)

Offline Reinforcement Learning with Value-based Episodic Memory

no code implementations ICLR 2022 Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu, Jun Yang, Chongjie Zhang, Qianchuan Zhao, Bin Liang

Offline reinforcement learning (RL) shows promise of applying RL to real-world problems by effectively utilizing previously collected data.

Offline RL reinforcement-learning

Safe Opponent-Exploitation Subgame Refinement

no code implementations29 Sep 2021 Mingyang Liu, Chengjie WU, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang

Search algorithms have been playing a vital role in the success of superhuman AI in both perfect information and imperfect information games.

Concurrent Learning Based Dual Control for Exploration and Exploitation in Autonomous Search

no code implementations18 Aug 2021 Zhongguo Li, Wen-Hua Chen, Jun Yang

In this paper, a concurrent learning framework is developed for source search in an unknown environment using autonomous platforms equipped with onboard sensors.

Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data

no code implementations16 Jul 2021 Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei zhang

Reinforcement learning (RL)-based auto-pruning has been further proposed to automate the DNN pruning process to avoid expensive hand-crafted work.

Neural Network Compression reinforcement-learning +1

Average-Reward Reinforcement Learning with Trust Region Methods

no code implementations7 Jun 2021 Xiaoteng Ma, Xiaohang Tang, Li Xia, Jun Yang, Qianchuan Zhao

Our work provides a unified framework of the trust region approach including both the discounted and average criteria, which may complement the framework of reinforcement learning beyond the discounted objectives.

Continuous Control reinforcement-learning

You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Nature Gradient

1 code implementation4 Jun 2021 Shaokun Zhang, Xiawu Zheng, Chenyi Yang, Yuchao Li, Yan Wang, Fei Chao, Mengdi Wang, Shen Li, Jun Yang, Rongrong Ji

Motivated by the necessity of efficient inference across various constraints on BERT, we propose a novel approach, YOCO-BERT, to achieve compress once and deploy everywhere.

AutoML Model Compression +1

Dual-Stage Low-Complexity Reconfigurable Speech Enhancement

no code implementations17 May 2021 Jun Yang, Nico Brailovsky

This paper proposes a dual-stage, low complexity, and reconfigurable technique to enhance the speech contaminated by various types of noise sources.

Speech Enhancement

Compact Dual-Polarization Silicon Integrated Couplers for Multicore Fibers

no code implementations17 Feb 2021 Julian L. Pita Ruiz, Lucas G. Rocha, Jun Yang, Sukru Ekin Kocabas, Ming-Jun Li, Ivan Aldaya, Paulo Dainese, Lucas H. Gabrielli

Compact fiber-to-chip couplers play an important role in optical interconnections, especially in data centers.

Optics Applied Physics

Acoustic Structure Inverse Design and Optimization Using Deep Learning

no code implementations29 Jan 2021 Xuecong Sun, Han Jia, Yuzhen Yang, Han Zhao, Yafeng Bi, Zhaoyong Sun, Jun Yang

From ancient to modern times, acoustic structures have been used to control the propagation of acoustic waves.

Speech Enhancement

Phase Shift of Planetary Waves and Wave--Jet Resonance on Tidally Locked Planets

no code implementations30 Nov 2020 Shuang Wang, Jun Yang

This study improves the understanding of wave--mean flow interactions on tidally locked planets.

Atmospheric and Oceanic Physics Earth and Planetary Astrophysics Fluid Dynamics

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads

no code implementations23 Sep 2020 Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei. Lin

We show in this work that memory intensive computations can result in severe performance problems due to off-chip memory access and CPU-GPU context switch overheads in a wide range of deep learning models.

Code Generation

Active Disturbance Rejection Control Design with Suppression of Sensor Noise Effects in Application to DC-DC Buck Power Converter

no code implementations7 Sep 2020 Krzysztof Łakomy, Rafal Madonski, Bin Dai, Jun Yang, Piotr Kicki, Maral Ansari, Shihua Li

The performance of active disturbance rejection control (ADRC) algorithms can be limited in practice by high-frequency measurement noise.

Intelligent Optimization of Diversified Community Prevention of COVID-19 using Traditional Chinese Medicine

no code implementations28 Jul 2020 Yu-Jun Zheng, Si-Lan Yu, Jun-Chao Yang, Tie-Er Gan, Qin Song, Jun Yang, Mumtaz Karatas

First, we use a fuzzy clustering method to divide the population based on both modern medicine and TCM health characteristics; we then use an interactive optimization method, in which TCM experts develop different TCM prevention programs for different clusters, and a heuristic algorithm is used to optimize the programs under the resource constraints.

SOAC: The Soft Option Actor-Critic Architecture

no code implementations25 Jun 2020 Chenghao Li, Xiaoteng Ma, Chongjie Zhang, Jun Yang, Li Xia, Qianchuan Zhao

In these tasks, our approach learns a diverse set of options, each of whose state-action space has strong coherence.

Transfer Learning

Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration

1 code implementation5 Jun 2020 Ming Zhang, Yawei Wang, Xiaoteng Ma, Li Xia, Jun Yang, Zhiheng Li, Xiu Li

The generative adversarial imitation learning (GAIL) has provided an adversarial learning framework for imitating expert policy from demonstrations in high-dimensional continuous tasks.

Continuous Control Imitation Learning

DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging

no code implementations31 May 2020 Qinggang Zhou, Yawen Zhang, Pengcheng Li, Xiaoyong Liu, Jun Yang, Runsheng Wang, Ru Huang

The state-of-the-art deep learning algorithms rely on distributed training systems to tackle the increasing sizes of models and training data sets.

DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learning

no code implementations30 Apr 2020 Xiaoteng Ma, Li Xia, Zhengyuan Zhou, Jun Yang, Qianchuan Zhao

In this paper, we present a new reinforcement learning (RL) algorithm called Distributional Soft Actor Critic (DSAC), which exploits the distributional information of accumulated rewards to achieve better performance.

Continuous Control reinforcement-learning

Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

no code implementations25 Mar 2020 Jun Yang, Fei Wang

The advantage of this method is to make the model converge to various local optima by scheduling the learning rate in once training.

Few-Shot Learning

Characterizing Deep Learning Training Workloads on Alibaba-PAI

no code implementations14 Oct 2019 Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei. Lin, Yangqing Jia

One critical issue for efficiently operating practical AI clouds, is to characterize the computing and data transfer demands of these workloads, and more importantly, the training performance given the underlying software framework and hardware configurations.

Computer Vision Natural Language Processing

Efficient Knowledge Graph Accuracy Evaluation

no code implementations23 Jul 2019 Junyang Gao, Xi-An Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang

To address the problem, this paper proposes an efficient sampling and evaluation framework, which aims to provide quality accuracy evaluation with strong statistical guarantee while minimizing human efforts.

Databases

Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks

no code implementations21 Nov 2018 Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei. Lin

In this method, the network is viewed as a computational graph, in which the vertices denote the computation nodes and edges represent the information flow.

Knowledge Distillation Model Compression

A Novel Integrated Framework for Learning both Text Detection and Recognition

no code implementations21 Nov 2018 Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu

In this paper, we propose a novel integrated framework for learning both text detection and recognition.

Pyramid Embedded Generative Adversarial Network for Automated Font Generation

no code implementations20 Nov 2018 Donghui Sun, Qing Zhang, Jun Yang

The generator is built using one encoder-decoder structure with cascaded refinement connections and mirror skip connections.

Font Generation

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs

no code implementations13 Nov 2018 Guoping Long, Jun Yang, Kai Zhu, Wei. Lin

In recent years, there is a surge on machine learning applications in industry.

Distributed, Parallel, and Cluster Computing Mathematical Software

Wearable Affective Robot

no code implementations25 Oct 2018 Min Chen, Jun Zhou, Guangming Tao, Jun Yang, Long Hu

The learning algorithm for the life modeling embedded in Fitbot can achieve better user's experience of affective social interaction.

EEG Human-Computer Interaction

Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI

1 code implementation Elsevier 2017 Xin Yang, Chaoyue Liu, Zhiwei Wang, Jun Yang, Hung Le Min, Liang Wang, Kwang-Ting (Tim) Cheng

Each network is trained using images of a single modality in a weakly-supervised manner by providing a set of prostate images with image-level labels indicating only the presence of PCa without priors of lesions’ locations.

General Classification

NV-Tree: Reducing Consistency Cost for NVM-based Single Level Systems

no code implementations16 Apr 2015 Jun Yang, Qingsong Wei, Cheng Chen, Chundong Wang, and Khai Leong Yong, Data Storage Institute, A-STAR; Bingsheng He, Nanyang Technological University

Although the memory fence and CPU cacheline flush instructions can order memory writes to achieve data consistency, they introduce a significant overhead (more than 10X slower in performance).

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