
A new family of quantum synchronizable codes from negacyclic codes
Quantum synchronizable codes are kinds of quantum errorcorrecting codes...
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NoReference Quality Assessment for Colored Point Cloud and Mesh Based on Natural Scene Statistics
To improve the viewer's quality of experience and optimize processing sy...
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Quantum Synchronizable Codes From Cyclotomic Classes of Order Two over ℤ_2q
Quantum synchronizable codes are kinds of quantum errorcorrecting codes...
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PoDT: A Secure Multichains Consensus Scheme Against Diverse Miners Behaviors Attacks in Blockchain Networks
As crosschain technologies make the interactions among different blockc...
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Grasp stability prediction with time series data based on STFT and LSTM
With an increasing demand for robots, robotic grasping will has a more i...
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Deep Learning based Fullreference and Noreference Quality Assessment Models for Compressed UGC Videos
In this paper, we propose a deep learning based video quality assessment...
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Adaptive Feature Alignment for Adversarial Training
Recent studies reveal that Convolutional Neural Networks (CNNs) are typi...
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The Volctrans Neural Speech Translation System for IWSLT 2021
This paper describes the systems submitted to IWSLT 2021 by the Volctran...
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GSPMD: General and Scalable Parallelization for ML Computation Graphs
We present GSPMD, an automatic, compilerbased parallelization system fo...
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Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
Recent advances in Named Entity Recognition (NER) show that documentlev...
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Quantum Synchronizable Codes on Sextic Cyclotomy
Quantum synchronizable codes are kinds of quantum errorcorrecting codes...
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FedCom: A ByzantineRobust Local Model Aggregation Rule Using Data Commitment for Federated Learning
Federated learning (FL) is a promising privacypreserving distributed ma...
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HalfTruth: A Partially Fake Audio Detection Dataset
Diverse promising datasets have been designed to hold back the developme...
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IDOLNet: An Interactive DualDomain Parallel Network for CT Metal Artifact Reduction
Due to the presence of metallic implants, the imaging quality of compute...
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Auto Correcting in the Process of Translation – Multitask Learning Improves Dialogue Machine Translation
Automatic translation of dialogue texts is a much needed demand in many ...
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A Universal Model for Cross Modality Mapping by Relational Reasoning
With the aim of matching a pair of instances from two different modaliti...
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Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from MultiRegional InputOutput Tables
A multiregional inputoutput table (MRIOT) containing the transactions ...
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Attention Models for Point Clouds in Deep Learning: A Survey
Recently, the advancement of 3D point clouds in deep learning has attrac...
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DANNet: DualDomain AdaptiveScaling Nonlocal Network for CT Metal Artifact Reduction
Metal implants can heavily attenuate Xrays in computed tomography (CT) ...
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Isolation mechanisms for highspeed packetprocessing pipelines
Dataplane programmability is now mainstream, both in the form of progra...
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TokenstoToken ViT: Training Vision Transformers from Scratch on ImageNet
Transformers, which are popular for language modeling, have been explore...
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MobilityAware Seamless Handover with MPTCP in SoftwareDefined HetNets
In this paper, the problem of vertical handover in softwaredefined netw...
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An Investigation of Potential Function Designs for Neural CRF
The neural linearchain CRF model is one of the most widelyused approac...
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Exploring the limits of Concurrency in ML Training on Google TPUs
Recent results in language understanding using neural networks have requ...
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You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
As an emerging business phenomenon especially in China, instant messagin...
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EDCNN: Edge enhancementbased Densely Connected Network with Compound Loss for LowDose CT Denoising
In the past few decades, to reduce the risk of Xray in computed tomogra...
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Star edgecoloring of some special graphs
The star chromatic index of a multigraph G, denoted by χ_star'(G), is th...
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Understanding the Role of Intermediaries in Online Social Ecommerce: An Exploratory Study of Beidian
Social ecommerce, as a new form of social computing based marketing pla...
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Toward Accurate Personlevel Action Recognition in Videos of Crowded Scenes
Detecting and recognizing human action in videos with crowded scenes is ...
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Rapid Robust Principal Component Analysis: CUR Accelerated Inexact Low Rank Estimation
Robust principal component analysis (RPCA) is a widely used tool for dim...
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Structural Knowledge Distillation
Knowledge distillation is a critical technique to transfer knowledge bet...
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Automated Concatenation of Embeddings for Structured Prediction
Pretrained contextualized embeddings are powerful word representations f...
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More Embeddings, Better Sequence Labelers?
Recent work proposes a family of contextual embeddings that significantl...
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Fast and Accurate Sequence Labeling with Approximate Inference Network
The linearchain Conditional Random Field (CRF) model is one of the most...
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Finding Action Tubes with a SparsetoDense Framework
The task of spatialtemporal action detection has attracted increasing a...
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The Devil is in Classification: A Simple Framework for Longtail Instance Segmentation
Most existing object instance detection and segmentation models only wor...
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A MultiLevel Approach to Waste Object Segmentation
We address the problem of localizing waste objects from a color image an...
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Overcoming Classifier Imbalance for Longtail Object Detection with Balanced Group Softmax
Solving longtail large vocabulary object detection with deep learning b...
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Double Circulant Selfdual Codes on Sextic Cyclotomy
This paper contributes to construct double circulant selfdual codes by ...
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Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing
Programmable packetprocessing devices such as programmable switches and...
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Making Robots Draw A Vivid Portrait In Two Minutes
Significant progress has been made with artistic robots. However, existi...
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Human in Events: A LargeScale Benchmark for Humancentric Video Analysis in Complex Events
Along with the development of the modern smart city, humancentric video...
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Automatic lowbit hybrid quantization of neural networks through meta learning
Model quantization is a widely used technique to compress and accelerate...
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StructureLevel Knowledge Distillation For Multilingual Sequence Labeling
Multilingual sequence labeling is a task of predicting label sequences u...
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Discontinuous Galerkin method for a distributed optimal control problem governed by a time fractional diffusion equation
This paper is devoted to the numerical analysis of a control constrained...
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A multiple attributes image quality database for smartphone camera photo quality assessment
Smartphone is the superstar product in digital device market and the qua...
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Numerical analysis of two Galerkin discretizations with graded temporal grids for fractional evolution equations
Two numerical methods with graded temporal grids are analyzed for fracti...
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LargeScale Discrete Fourier Transform on TPUs
In this work, we present two parallel algorithms for the largescale dis...
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CTM: Collaborative Temporal Modeling for Action Recognition
With the rapid development of digital multimedia, video understanding ha...
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iqiyi Submission to ActivityNet Challenge 2019 Kinetics700 challenge: Hierarchical Groupwise Attention
In this report, the method for the iqiyi submission to the task of Activ...
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Tao Wang
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MuTao Wang is a Taiwanese mathematician and current professor of mathematics at the University of Columbia.
In 1984, originally for international business, he entered the National University of Taiwan, and after a year he switched to mathematics. He received his B.S. in Mathematics from the National University of Taiwan in 1988 and his M.S. degree from the same institution in 1992. His thesis “Generalized harmonic maps and representations of discrete groups” was awarded by a PhD in Mathematics at Harvard University in 1998. His thesis counselor at Harvard was the Chinese Fields Medalistic and the ShingTung Yau differential geometer.
Wang became an Associate Professor at the Columbia Faculty in 2001 and a full Professor in 2009. Wang was an assistant professor at Stanford University before joining the faculty in Columbia. From 2003–2005 he was a Sloan Research Fellow. In 2007 he was awarded the Chern Prize as the Kavli Fellow of the National Academy of Sciences. In 2010, Wang was a Plenary Speaker in the International Congress of Chinese Mathematicians at the International Congress of Chinese Mathematicians and a Plenary Speaker in the International Congress of mathematical physics at the International Congress on Mathematical Physics. In addition, he also spoke plenary at the International Conference on Differential Geometry in 2011. After winning the Morningside Medal, Wang told interviewers that he wasn’t a very good student and didn’t consistently grade well. It has struggled to study topics that did not only interest him for the grade, but spends a lot of time on topics that interest him. He credits his mathematical career to two persons: his mother and his thesis consultant ShingTung Yau. He cites the support of his mother and understands her decision to change to Mathematics in universities, despite being a considerably less lucrative field, and describes Yau as the pivotal point of his life in 1992 when he decided to focus primarily upon mathematics research.
Wang’s research focuses on differential geometry and mathematical physics and on general relativity in particular. He studied extensively the greater codimensional flow of the mean curvature, leading to criteria for existence, regularity and convergence of the flow. In the field of general relativity, he is known especially for his work on quasilocal mass energy; in his honour, the nearlocal mass of WangYau is named.