b'Qian Yu'

research

∙ 09/12/2023

GA-Sketching: Shape Modeling from Multi-View Sketching with Geometry-Aligned Deep Implicit Functions

Sketch-based shape modeling aims to bridge the gap between 2D drawing an...

0 Jie Zhou, et al. ∙

research

∙ 08/15/2023

Inversion-by-Inversion: Exemplar-based Sketch-to-Photo Synthesis via Stochastic Differential Equations without Training

Exemplar-based sketch-to-photo synthesis allows users to generate photo-...

0 Ximing Xing, et al. ∙

research

∙ 08/03/2023

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment

3D panoptic segmentation is a challenging perception task that requires ...

0 Zhiwei Zhang, et al. ∙

research

∙ 06/21/2023

Sample Complexity for Quadratic Bandits: Hessian Dependent Bounds and Optimal Algorithms

In stochastic zeroth-order optimization, a problem of practical relevanc...

0 Qian Yu, et al. ∙

research

∙ 04/08/2023

Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder

The sequence-to-sequence (seq2seq) task aims at generating the target se...

0 Zihao Fu, et al. ∙

research

∙ 02/16/2023

Product Question Answering in E-Commerce: A Survey

Product question answering (PQA), aiming to automatically provide instan...

0 Yang Deng, et al. ∙

research

∙ 11/28/2022

Ising Model on Locally Tree-like Graphs: Uniqueness of Solutions to Cavity Equations

In the study of Ising models on large locally tree-like graphs, in both ...

0 Qian Yu, et al. ∙

research

∙ 11/21/2022

Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization

Weakly supervised temporal action localization (WTAL) aims to localize a...

0 Weiqi Sun, et al. ∙

research

∙ 08/14/2022

SketchSampler: Sketch-based 3D Reconstruction via View-dependent Depth Sampling

Reconstructing a 3D shape based on a single sketch image is challenging ...

0 Chenjian Gao, et al. ∙

research

∙ 07/17/2022

A Simple Test-Time Method for Out-of-Distribution Detection

Neural networks are known to produce over-confident predictions on input...

0 Ke Fan, et al. ∙

research

∙ 04/29/2022

Gating-adapted Wavelet Multiresolution Analysis for Exposure Sequence Modeling in CTR prediction

The exposure sequence is being actively studied for user interest modeli...

0 Xiaoxiao Xu, et al. ∙

research

∙ 03/23/2022

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

Traditionally, a debate usually requires a manual preparation process, i...

0 Liying Cheng, et al. ∙

research

∙ 01/17/2022

Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework

We propose a general Variational Embedding Learning Framework (VELF) for...

0 Xiaoxiao Xu, et al. ∙

research

∙ 11/29/2021

Action based Network for Conversation Question Reformulation

Conversation question answering requires the ability to interpret a ques...

0 Zheyu Ye, et al. ∙

research

∙ 09/29/2021

LightSecAgg: Rethinking Secure Aggregation in Federated Learning

Secure model aggregation is a key component of federated learning (FL) t...

0 Chien-Sheng Yang, et al. ∙

research

∙ 07/05/2021

Feature Cross Search via Submodular Optimization

In this paper, we study feature cross search as a fundamental primitive ...

0 Lin Chen, et al. ∙

research

∙ 11/10/2020

Human-centric Spatio-Temporal Video Grounding With Visual Transformers

In this work, we introduce a novel task - Humancentric Spatio-Temporal V...

0 Zongheng Tang, et al. ∙

research

∙ 06/17/2020

3D Shape Reconstruction from Free-Hand Sketches

Sketches are the most abstract 2D representations of real-world objects....

0 Jiayun Wang, et al. ∙

research

∙ 01/15/2020

Entangled Polynomial Codes for Secure, Private, and Batch Distributed Matrix Multiplication: Breaking the ”Cubic” Barrier

In distributed matrix multiplication, a common scenario is to assign eac...

0 Qian Yu, et al. ∙

research

∙ 11/05/2019

Review-based Question Generation with Adaptive Instance Transfer and Augmentation

Online reviews provide rich information about products and service, whil...

0 Qian Yu, et al. ∙

research

∙ 10/24/2019

Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition

We study the problem of switching-constrained online convex optimization...

11 Lin Chen, et al. ∙

research

∙ 10/14/2019

Building Information Modeling and Classification by Visual Learning At A City Scale

In this paper, we provide two case studies to demonstrate how artificial...

25 Qian Yu, et al. ∙

research

∙ 09/18/2019

An Unpaired Sketch-to-Photo Translation Model

Sketch-based image synthesis aims to generate a photo image given a sket...

0 Runtao Liu, et al. ∙

research

∙ 04/30/2019

Harmonic Coding: An Optimal Linear Code for Privacy-Preserving Gradient-Type Computation

We consider the problem of distributedly computing a general class of fu...

0 Qian Yu, et al. ∙

research

∙ 01/21/2019

Network Transplanting (extended abstract)

This paper focuses on a new task, i.e., transplanting a category-and-tas...

8 Quanshi Zhang, et al. ∙

research

∙ 08/07/2018

SketchyScene: Richly-Annotated Scene Sketches

We contribute the first large-scale dataset of scene sketches, SketchySc...

0 Changqing Zou, et al. ∙

research

∙ 06/04/2018

Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy

We consider a distributed computing scenario that involves computations ...

0 Qian Yu, et al. ∙

research

∙ 05/24/2018

Polynomially Coded Regression: Optimal Straggler Mitigation via Data Encoding

We consider the problem of training a least-squares regression model on ...

0 Songze Li, et al. ∙

research

∙ 04/27/2018

Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images

Due to the irregular motion, similar appearance and diverse shape, accur...

0 Qian Yu, et al. ∙

research

∙ 04/23/2018

Guided Attention for Large Scale Scene Text Verification

Many tasks are related to determining if a particular text string exists...

0 Dafang He, et al. ∙

research

∙ 01/23/2018

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

We consider the problem of massive matrix multiplication, which underlie...

0 Qian Yu, et al. ∙

research

∙ 11/22/2017

The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching

Many vision problems require matching images of object instances across ...

0 Qian Yu, et al. ∙

research

∙ 10/17/2017

Coded Fourier Transform

We consider the problem of computing the Fourier transform of high-dimen...

0 Qian Yu, et al. ∙

research

∙ 12/17/2015

Large Scale Business Discovery from Street Level Imagery

Search with local intent is becoming increasingly useful due to the popu...

0 Qian Yu, et al. ∙

research

∙ 01/30/2015

Sketch-a-Net that Beats Humans

We propose a multi-scale multi-channel deep neural network framework tha...

0 Qian Yu, et al. ∙

research

∙ 02/16/2013

Understanding Boltzmann Machine and Deep Learning via A Confident Information First Principle

Typical dimensionality reduction methods focus on directly reducing the ...

0 Xiaozhao Zhao, et al. ∙

Qian Yu

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