b'Hao He'

research

∙ 08/17/2023

Personalized First Issue Recommender for Newcomers in Open Source Projects

Many open source projects provide good first issues (GFIs) to attract an...

0 Wenxin Xiao, et al. ∙

research

∙ 08/07/2023

Randomized algorithms for precise measurement of differentially-private, personalized recommendations

Personalized recommendations form an important part of today's internet ...

0 Allegra Laro, et al. ∙

research

∙ 06/13/2023

Taxonomy-Structured Domain Adaptation

Domain adaptation aims to mitigate distribution shifts among different d...

0 Tianyi Liu, et al. ∙

research

∙ 05/30/2023

Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution

Generalizable neural surface reconstruction techniques have attracted gr...

0 Yixun Liang, et al. ∙

research

∙ 03/19/2023

Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets

Point cloud segmentation is a fundamental task in 3D vision that serves ...

0 Yixun Liang, et al. ∙

research

∙ 03/07/2023

Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks

To design fast neural networks, many works have been focusing on reducin...

0 Jierun Chen, et al. ∙

research

∙ 02/18/2023

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-Task Learning

When modeling related tasks in computer vision, Multi-Task Learning (MTL...

0 Caoyun Fan, et al. ∙

research

∙ 02/18/2023

Improving the Out-Of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough

Counterfactually-Augmented Data (CAD) has the potential to improve langu...

0 Caoyun Fan, et al. ∙

research

∙ 02/06/2023

Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation

Previous studies have shown that leveraging domain index can significant...

0 Zihao Xu, et al. ∙

research

∙ 01/13/2023

Contrast with Major Classifier Vectors for Federated Medical Relation Extraction with Heterogeneous Label Distribution

Federated medical relation extraction enables multiple clients to train ...

9 Chunhui Du, et al. ∙

research

∙ 10/07/2022

1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct)

Recent years have seen advances on principles and guidance relating to a...

0 Hao Wang, et al. ∙

research

∙ 09/08/2022

FedDAR: Federated Domain-Aware Representation Learning

Cross-silo Federated learning (FL) has become a promising tool in machin...

0 Aoxiao Zhong, et al. ∙

research

∙ 06/15/2022

Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot

Dependency management bots automatically open pull requests to update so...

0 Runzhi He, et al. ∙

research

∙ 03/29/2022

Demystifying Software Release Note Issues on GitHub

Release notes (RNs) summarize main changes between two consecutive softw...

0 Jianyu Wu, et al. ∙

research

∙ 03/06/2022

Domain Adaptation with Factorizable Joint Shift

Existing domain adaptation (DA) usually assumes the domain shift comes f...

9 Hao He, et al. ∙

research

∙ 02/22/2022

Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning

Indiscriminate data poisoning attacks are quite effective against superv...

12 Hao He, et al. ∙

research

∙ 02/08/2022

Graph-Relational Domain Adaptation

Existing domain adaptation methods tend to treat every domain equally an...

8 Zihao Xu, et al. ∙

research

∙ 02/08/2022

Model and predict age and sex in healthy subjects using brain white matter features: A deep learning approach

The human brain's white matter (WM) structure is of immense interest to ...

0 Hao He, et al. ∙

research

∙ 01/27/2022

Controlling Directions Orthogonal to a Classifier

We propose to identify directions invariant to a given classifier so tha...

0 Yilun Xu, et al. ∙

research

∙ 01/17/2022

EFMVFL: An Efficient and Flexible Multi-party Vertical Federated Learning without a Third Party

Federated learning allows multiple participants to conduct joint modelin...

0 Yimin Huang, et al. ∙

research

∙ 09/12/2021

End-to-End Conversational Search for Online Shopping with Utterance Transfer

Successful conversational search systems can present natural, adaptive a...

0 Liqiang Xiao, et al. ∙

research

∙ 07/28/2021

Improving Video Instance Segmentation via Temporal Pyramid Routing

Video Instance Segmentation (VIS) is a new and inherently multi-task pro...

0 Xiangtai Li, et al. ∙

research

∙ 07/15/2021

Mid-flight Forecasting for CPA Lines in Online Advertising

For Verizon MediaDemand Side Platform(DSP), forecasting of ad campaign p...

0 Hao He, et al. ∙

research

∙ 07/12/2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

Since 2019, most ad exchanges and sell-side platforms (SSPs), in the onl...

0 Tian Zhou, et al. ∙

research

∙ 05/25/2021

BoundarySqueeze: Image Segmentation as Boundary Squeezing

We propose a novel method for fine-grained high-quality image segmentati...

9 Hao He, et al. ∙

research

∙ 05/18/2021

Dependent Multi-Task Learning with Causal Intervention for Image Captioning

Recent work for image captioning mainly followed an extract-then-generat...

0 Wenqing Chen, et al. ∙

research

∙ 03/29/2021

Enhanced Boundary Learning for Glass-like Object Segmentation

Glass-like objects such as windows, bottles, and mirrors exist widely in...

0 Hao He, et al. ∙

research

∙ 03/11/2021

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

Aerial Image Segmentation is a particular semantic segmentation problem ...

0 Xiangtai Li, et al. ∙

research

∙ 09/19/2020

Bid Shading by Win-Rate Estimation and Surplus Maximization

This paper describes a new win-rate based bid shading algorithm (WR) tha...

0 Shengjun Pan, et al. ∙

research

∙ 07/03/2020

Continuously Indexed Domain Adaptation

Existing domain adaptation focuses on transferring knowledge between dom...

17 Hao Wang, et al. ∙

research

∙ 05/06/2020

UST: Unifying Spatio-Temporal Context for Trajectory Prediction in Autonomous Driving

Trajectory prediction has always been a challenging problem for autonomo...

0 Hao He, et al. ∙

research

∙ 10/18/2019

Learning Compositional Koopman Operators for Model-Based Control

Finding an embedding space for a linear approximation of a nonlinear dyn...

0 Yunzhu Li, et al. ∙

research

∙ 07/02/2019

Disentangled Makeup Transfer with Generative Adversarial Network

Facial makeup transfer is a widely-used technology that aims to transfer...

3 Honglun Zhang, et al. ∙

research

∙ 06/25/2019

Road-network-based Rapid Geolocalization

It has always been a research hotspot to use geographic information to a...

5 Yongfei Li, et al. ∙

research

∙ 03/19/2019

Truly Proximal Policy Optimization

Proximal policy optimization (PPO) is one of the most successful deep re...

0 Yuhui Wang, et al. ∙

research

∙ 02/15/2019

Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations

In real-world scenarios, the observation data for reinforcement learning...

0 Yuhui Wang, et al. ∙

research

∙ 02/06/2019

Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling

We consider the problem of inferring the values of an arbitrary set of v...

24 Hao Wang, et al. ∙

research

∙ 01/29/2019

Trust Region-Guided Proximal Policy Optimization

Model-free reinforcement learning relies heavily on a safe yet explorato...

0 Yuhui Wang, et al. ∙

research

∙ 09/27/2017

Exposure: A White-Box Photo Post-Processing Framework

Retouching can significantly elevate the visual appeal of photos, but ma...

0 Yuanming Hu, et al. ∙

Hao He

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