
A local MCMC algorithm for variable selection with dimensionfree mixing time
Yang et al. (2016) proved that the symmetric random walk Metropolis–Hast...
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ROBI: A MultiView Dataset for Reflective Objects in Robotic BinPicking
In robotic binpicking applications, the perception of textureless, hig...
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Dynamic Enumeration of Similarity Joins
This paper considers enumerating answers to similarityjoin queries unde...
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Extremely Low Footprint EndtoEnd ASR System for Smart Device
Recently, endtoend (E2E) speech recognition has become popular, since ...
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Efficiently Answering Durability Prediction Queries
We consider a class of queries called durability prediction queries that...
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Probabilistic MultiView Fusion of Active Stereo Depth Maps for Robotic BinPicking
The reliable fusion of depth maps from multiple viewpoints has become an...
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DISC: A Dynamic Shape Compiler for Machine Learning Workloads
Many recent machine learning models show dynamic shape characteristics. ...
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Durable TopK InstantStamped Temporal Records with UserSpecified Scoring Functions
A way of finding interesting or exceptional records from instantstamped...
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Acoustic Structure Inverse Design and Optimization Using Deep Learning
From ancient to modern times, acoustic structures have been used to cont...
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EasyTransfer – A Simple and Scalable Deep Transfer Learning Platform for NLP Applications
The literature has witnessed the success of applying deep Transfer Learn...
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INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices
The intensive computation of Automatic Speech Recognition (ASR) models o...
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FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads
We show in this work that memory intensive computations can result in se...
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Intelligent Optimization of Diversified Community Prevention of COVID19 using Traditional Chinese Medicine
Traditional Chinese medicine (TCM) has played an important role in the p...
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AutoMAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads
The last decade has witnessed growth in the computational requirements f...
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DAPPLE: A Pipelined Data Parallel Approach for Training Large Models
It is a challenging task to train large DNN models on sophisticated GPU ...
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SOAC: The Soft Option ActorCritic Architecture
The option framework has shown great promise by automatically extracting...
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Ansor : Generating HighPerformance Tensor Programs for Deep Learning
Highperformance tensor programs are crucial to guarantee efficient exec...
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Wasserstein Distance guided Adversarial Imitation Learning with Reward Shape Exploration
The generative adversarial imitation learning (GAIL) has provided an adv...
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DaSGD: Squeezing SGD Parallelization Performance in Distributed Training Using Delayed Averaging
The stateoftheart deep learning algorithms rely on distributed traini...
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Distributional Soft Actor Critic for Risk Sensitive Learning
Most of reinforcement learning (RL) algorithms aim at maximizing the exp...
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AutoEnsemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
Ensembling deep learning models is a shortcut to promote its implementat...
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Environmentaware Reconfigurable Noise Suppression
The paper proposes an efficient, robust, and reconfigurable technique to...
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Performance Comparison of UCA and UCCA based Realtime Sound Source Localization Systems using Circular Harmonics SRP Method
Many sound source localization (SSL) algorithms based on circular microp...
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FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads
Performance optimization is the art of continuous seeking a harmonious m...
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Characterizing Deep Learning Training Workloads on AlibabaPAI
Modern deep learning models have been exploited in various domains, incl...
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Drift, Minorization, and Hitting Times
The “driftandminorization” method, introduced and popularized in (Rose...
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Selecting Data to Clean for Fact Checking: Minimizing Uncertainty vs. Maximizing Surprise
We study the optimization problem of selecting numerical quantities to c...
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Sound Localization and Separation in Threedimensional Space Using a Single Microphone with a Metamaterial Enclosure
Conventional approaches to sound localization and separation are based o...
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Fastrate PACBayes Generalization Bounds via Shifted Rademacher Processes
The developments of Rademacher complexity and PACBayesian theory have b...
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Efficient Knowledge Graph Accuracy Evaluation
Estimation of the accuracy of a largescale knowledge graph (KG) often r...
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Learning to Sample: Counting with Complex Queries
In this paper we present a suite of methods to efficiently estimate coun...
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A Sustainable Multimodal Multilayer Emotionaware Service at the Edge
Limited by the computational capabilities and battery energy of terminal...
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Optimal Scaling of Metropolis Algorithms on General Target Distributions
The main limitation of the existing optimal scaling results for Metropol...
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TS Cache: A Fast Cache with Timingspeculation Mechanism Under Low Supply Voltages
To mitigate the everworsening Power Wall problem, more and more applica...
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Statedomain Change Point Detection for Nonlinear Time Series Regression
Change point detection in time series has attracted substantial interest...
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Statedomain Change Point Detection for Nonlinear Time Series
Change point detection in time series has attracted substantial interest...
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Explaining Wrong Queries Using Small Examples
For testing the correctness of SQL queries, e.g., evaluating student sub...
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Ready Player One: UAV Clustering based MultiTask Offloading for Vehicular VR/AR Gaming
With rapid development of unmanned aerial vehicle (UAV) technology, appl...
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Spectral Inference under Complex Temporal Dynamics
We develop unified theory and methodology for the inference of evolution...
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A Novel Integrated Framework for Learning both Text Detection and Recognition
In this paper, we propose a novel integrated framework for learning both...
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GraphAdaptive Pruning for Efficient Inference of Convolutional Neural Networks
In this work, we propose a graphadaptive pruning (GAP) method for effic...
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Pyramid Embedded Generative Adversarial Network for Automated Font Generation
In this paper, we investigate the Chinese font synthesis problem and pro...
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FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs
In recent years, there is a surge on machine learning applications in in...
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Wearable Affective Robot
With the development of the artificial intelligence (AI), the AI applica...
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Urban Healthcare Big Data System Based on Crowdsourced and CloudBased Air Quality Indicators
The everaccelerating process of globalization enables more than half th...
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Interactive Summarization and Exploration of Top Aggregate Query Answers
We present a system for summarization and interactive exploration of hig...
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Complexity Results for MCMC derived from Quantitative Bounds
This paper considers whether MCMC quantitative convergence bounds can be...
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Towards wellspecified semisupervised modelbased classifiers via structural adaptation
Semisupervised learning plays an important role in largescale machine ...
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Unsupervised Cosegmentation of 3D Shapes via Functional Maps
We present an unsupervised method for cosegmentation of a set of 3D sha...
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Jun Yang
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