b'Jian Yin'

research

∙ 08/10/2023

PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs

In this paper, we develop a new method to automatically convert 2D line ...

0 Wentao Hu, et al. ∙

research

∙ 06/26/2023

LongCoder: A Long-Range Pre-trained Language Model for Code Completion

In this paper, we introduce a new task for code completion that focuses ...

0 Daya Guo, et al. ∙

research

∙ 06/01/2023

UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning

Recent advances in vision-language pre-training have enabled machines to...

0 Xiao Dong, et al. ∙

research

∙ 05/23/2023

Selective Pre-training for Private Fine-tuning

Suppose we want to train text prediction models in email clients or word...

0 Da Yu, et al. ∙

research

∙ 05/05/2023

From Parse-Execute to Parse-Execute-Refine: Improving Semantic Parser for Complex Question Answering over Knowledge Base

Parsing questions into executable logical forms has showed impressive re...

0 Wangzhen Guo, et al. ∙

research

∙ 10/20/2022

Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers

This paper presents ReasonFormer, a unified reasoning framework for mirr...

0 Wanjun Zhong, et al. ∙

research

∙ 10/12/2022

Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers

Multi-task learning (MTL) aims to improve the generalization performance...

0 Ge-Yang Ke, et al. ∙

research

∙ 06/06/2022

Per-Instance Privacy Accounting for Differentially Private Stochastic Gradient Descent

Differentially private stochastic gradient descent (DP-SGD) is the workh...

12 Da Yu, et al. ∙

research

∙ 04/28/2022

Anomaly Detection by Leveraging Incomplete Anomalous Knowledge with Anomaly-Aware Bidirectional GANs

The goal of anomaly detection is to identify anomalous samples from norm...

2 Bowen Tian, et al. ∙

research

∙ 01/14/2022

ViT2Hash: Unsupervised Information-Preserving Hashing

Unsupervised image hashing, which maps images into binary codes without ...

37 Qinkang Gong, et al. ∙

research

∙ 11/01/2021

Indiscriminate Poisoning Attacks Are Shortcuts

Indiscriminate data poisoning attacks, which add imperceptible perturbat...

0 Da Yu, et al. ∙

research

∙ 10/14/2021

Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer

The identification of active binding drugs for target proteins (termed a...

12 Siyuan Liu, et al. ∙

research

∙ 06/18/2021

Learning to Generate Code Sketches

Traditional generative models are limited to predicting sequences of ter...

0 Daya Guo, et al. ∙

research

∙ 06/17/2021

Large Scale Private Learning via Low-rank Reparametrization

We propose a reparametrization scheme to address the challenges of apply...

0 Da Yu, et al. ∙

research

∙ 02/15/2021

REST: Relational Event-driven Stock Trend Forecasting

Stock trend forecasting, aiming at predicting the stock future trends, i...

0 Wentao Xu, et al. ∙

research

∙ 10/15/2020

Neural Deepfake Detection with Factual Structure of Text

Deepfake detection, the task of automatically discriminating machine-gen...

0 Wanjun Zhong, et al. ∙

research

∙ 09/17/2020

GraphCodeBERT: Pre-training Code Representations with Data Flow

Pre-trained models for programming language have achieved dramatic empir...

0 Daya Guo, et al. ∙

research

∙ 07/21/2020

Membership Inference with Privately Augmented Data Endorses the Benign while Suppresses the Adversary

Membership inference (MI) in machine learning decides whether a given ex...

11 Da Yu, et al. ∙

research

∙ 06/15/2020

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder

Generating inferential texts about an event in different perspectives re...

0 Daya Guo, et al. ∙

research

∙ 05/02/2020

SEEK: Segmented Embedding of Knowledge Graphs

In recent years, knowledge graph embedding becomes a pretty hot research...

8 Wentao Xu, et al. ∙

research

∙ 04/28/2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Verifying the correctness of a textual statement requires not only seman...

0 Wanjun Zhong, et al. ∙

research

∙ 04/25/2020

A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts

We study question answering over a dynamic textual environment. Although...

0 Wanjun Zhong, et al. ∙

research

∙ 04/07/2020

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning

We study the problem of generating inferential texts of events for a var...

9 Daya Guo, et al. ∙

research

∙ 12/20/2019

Controllable Face Aging

Motivated by the following two observations: 1) people are aging differe...

12 Haien Zeng, et al. ∙

research

∙ 11/26/2019

Gradient Perturbation is Underrated for Differentially Private Convex Optimization

Gradient perturbation, widely used for differentially private optimizati...

0 Da Yu, et al. ∙

research

∙ 11/19/2019

Modal-aware Features for Multimodal Hashing

Many retrieval applications can benefit from multiple modalities, e.g., ...

0 Haien Zeng, et al. ∙

research

∙ 11/19/2019

Simultaneous Region Localization and Hash Coding for Fine-grained Image Retrieval

Fine-grained image hashing is a challenging problem due to the difficult...

0 Haien Zeng, et al. ∙

research

∙ 09/09/2019

Reasoning Over Semantic-Level Graph for Fact Checking

We study fact-checking in this paper, which aims to verify a textual cla...

17 Wanjun Zhong, et al. ∙

research

∙ 06/17/2019

Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing

In this paper, we present an approach to incorporate retrieved datapoint...

0 Daya Guo, et al. ∙

research

∙ 06/03/2019

Fashion Editing with Multi-scale Attention Normalization

Interactive fashion image manipulation, which enables users to edit imag...

0 Haoye Dong, et al. ∙

research

∙ 04/04/2019

Feature Pyramid Hashing

In recent years, deep-networks-based hashing has become a leading approa...

0 Yifan Yang, et al. ∙

research

∙ 04/03/2019

Deep Policy Hashing Network with Listwise Supervision

Deep-networks-based hashing has become a leading approach for large-scal...

0 Shaoying Wang, et al. ∙

research

∙ 02/28/2019

Towards Multi-pose Guided Virtual Try-on Network

Virtual try-on system under arbitrary human poses has huge application p...

0 Haoye Dong, et al. ∙

research

∙ 10/27/2018

Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis

Despite remarkable advances in image synthesis research, existing works ...

0 Haoye Dong, et al. ∙

research

∙ 09/05/2018

Improving Question Answering by Commonsense-Based Pre-Training

Although neural network approaches achieve remarkable success on a varie...

0 Wanjun Zhong, et al. ∙

research

∙ 08/20/2018

Question Generation from SQL Queries Improves Neural Semantic Parsing

We study how to learn a semantic parser of state-of-the-art accuracy wit...

0 Daya Guo, et al. ∙

research

∙ 11/26/2017

Personalized and Occupational-aware Age Progression by Generative Adversarial Networks

Face age progression, which aims to predict the future looks, is importa...

0 Siyu Zhou, et al. ∙

research

∙ 11/26/2017

HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval

As the rapid growth of multi-modal data, hashing methods for cross-modal...

0 Xi Zhang, et al. ∙

Jian Yin

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