b'Yiming Zhang'

research

∙ 09/11/2023

Multi3DRefer: Grounding Text Description to Multiple 3D Objects

We introduce the task of localizing a flexible number of objects in real...

0 Yiming Zhang, et al. ∙

research

∙ 08/31/2023

Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning

While the Segment Anything Model (SAM) excels in semantic segmentation f...

0 Yiming Zhang, et al. ∙

research

∙ 07/13/2023

Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success

The generations of large language models are commonly controlled through...

0 Yiming Zhang, et al. ∙

research

∙ 06/13/2023

FLamE: Few-shot Learning from Natural Language Explanations

Natural language explanations have the potential to provide rich informa...

0 Yangqiaoyu Zhou, et al. ∙

research

∙ 05/16/2023

Maybe Only 0.5 Training Data Instruction Tuning

Instruction tuning for large language models (LLMs) has gained attention...

0 Hao Chen, et al. ∙

research

∙ 01/23/2023

Selective Explanations: Leveraging Human Input to Align Explainable AI

While a vast collection of explainable AI (XAI) algorithms have been dev...

0 Vivian Lai, et al. ∙

research

∙ 11/08/2022

Active Example Selection for In-Context Learning

With a handful of demonstration examples, large-scale language models sh...

0 Yiming Zhang, et al. ∙

research

∙ 10/19/2022

Data-Augmented Counterfactual Learning for Bundle Recommendation

Bundle Recommendation (BR) aims at recommending bundled items on online ...

0 Shixuan Zhu, et al. ∙

research

∙ 10/05/2022

CW-ERM: Improving Autonomous Driving Planning with Closed-loop Weighted Empirical Risk Minimization

The imitation learning of self-driving vehicle policies through behavior...

4 Eesha Kumar, et al. ∙

research

∙ 05/23/2022

Learning to Ignore Adversarial Attacks

Despite the strong performance of current NLP models, they can be brittl...

0 Yiming Zhang, et al. ∙

research

∙ 04/18/2022

Caption Feature Space Regularization for Audio Captioning

Audio captioning aims at describing the content of audio clips with huma...

0 Yiming Zhang, et al. ∙

research

∙ 03/14/2022

Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis

The aspect-based sentiment analysis (ABSA) is a fine-grained task that a...

0 Yiming Zhang, et al. ∙

research

∙ 03/08/2022

Virtual Displacement based Discontinuity Layout Optimization

Discontinuity layout optimization (DLO) is a relatively new upper bound ...

0 Yiming Zhang, et al. ∙

research

∙ 12/31/2021

Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation

Session-based recommendation (SBR) is proposed to recommend items within...

0 Chuan Cui, et al. ∙

research

∙ 12/31/2021

Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation

Session-based recommendation (SBR) is a challenging task, which aims at ...

0 Qi Shen, et al. ∙

research

∙ 12/27/2021

Automatic Configuration for Optimal Communication Scheduling in DNN Training

ByteScheduler partitions and rearranges tensor transmissions to improve ...

7 Yiqing Ma, et al. ∙

research

∙ 12/22/2021

Multiple Choice Questions based Multi-Interest Policy Learning for Conversational Recommendation

Conversational recommendation system (CRS) is able to obtain fine-graine...

0 Yiming Zhang, et al. ∙

research

∙ 11/17/2021

Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance

Recently, Truncated Quantile Critics (TQC), using distributional represe...

13 Yanqiu Wu, et al. ∙

research

∙ 09/24/2021

Multi-behavior Graph Contextual Aware Network for Session-based Recommendation

Predicting the next interaction of a short-term sequence is a challengin...

0 Qi Shen, et al. ∙

research

∙ 09/24/2021

Graph Learning Augmented Heterogeneous Graph Neural Network for Social Recommendation

Social recommendation based on social network has achieved great success...

0 Yiming Zhang, et al. ∙

research

∙ 07/08/2021

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Predicting the next interaction of a short-term interaction session is a...

20 Yitong Pang, et al. ∙

research

∙ 06/14/2021

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

We develop theory and algorithms for average-reward on-policy Reinforcem...

19 Yiming Zhang, et al. ∙

research

∙ 04/13/2021

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning

Graph neural networks (GNN) have been proven to be mature enough for han...

6 Ning Liu, et al. ∙

research

∙ 03/12/2021

Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models

There has been a surge in the interest of using machine learning techniq...

13 Steven Atkinson, et al. ∙

research

∙ 02/16/2021

Conversations Gone Alright: Quantifying and Predicting Prosocial Outcomes in Online Conversations

Online conversations can go in many directions: some turn out poorly due...

8 Jiajun Bao, et al. ∙

research

∙ 09/17/2020

A micropolar peridynamics model with non-unified horizon for damage of solids with different non-local effects

Most peridynamics models adopt regular point distribution and unified ho...

0 Yiming Zhang, et al. ∙

research

∙ 08/14/2020

Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Industrial dynamical systems often exhibit multi-scale response due to m...

34 Waad Subber, et al. ∙

research

∙ 07/21/2020

AinnoSeg: Panoramic Segmentation with High Perfomance

Panoramic segmentation is a scene where image segmentation tasks is more...

0 Jiahong Wu, et al. ∙

research

∙ 07/04/2020

Direct dissipation-based arc-length approach for the cracking elements method

Dissipated energy, representing a monotonically increasing state variabl...

0 Yiming Zhang, et al. ∙

research

∙ 04/12/2020

MLCVNet: Multi-Level Context VoteNet for 3D Object Detection

In this paper, we address the 3D object detection task by capturing mult...

8 Qian Xie, et al. ∙

research

∙ 03/27/2020

α-Satellite: An AI-driven System and Benchmark Datasets for Hierarchical Community-level Risk Assessment to Help Combat COVID-19

The novel coronavirus and its deadly outbreak have posed grand challenge...

0 Yanfang Ye, et al. ∙

research

∙ 03/26/2020

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Industrial applications frequently pose a notorious challenge for state-...

6 Sayan Ghosh, et al. ∙

research

∙ 02/16/2020

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning

In reinforcement learning, an agent attempts to learn high-performing be...

0 Yiming Zhang, et al. ∙

research

∙ 08/17/2019

Global cracking elements: a novel tool for Galerkin-based approaches simulating quasi-brittle fracture

Following the so-called Cracking Elements Method (CEM), recently present...

0 Yiming Zhang, et al. ∙

research

∙ 07/26/2019

A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty

Multi-fidelity Gaussian process is a common approach to address the exte...

0 Sayan Ghosh, et al. ∙

research

∙ 05/08/2019

Locality-Sensitive Sketching for Resilient Network Flow Monitoring

Network monitoring is vital in modern clouds and data center networks fo...

0 Yongquan Fu, et al. ∙

research

∙ 06/02/2018

Efficient Entropy for Policy Gradient with Multidimensional Action Space

In recent years, deep reinforcement learning has been shown to be adept ...

0 Yiming Zhang, et al. ∙

research

∙ 05/29/2018

Supervised Policy Update

We propose a new sample-efficient methodology, called Supervised Policy ...

0 Quan Ho Vuong, et al. ∙

research

∙ 03/27/2018

Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions

Depthwise convolutions provide significant performance benefits owing to...

0 Zheng Qin, et al. ∙

research

∙ 10/16/2017

Which is better? A Modularized Evaluation for Topic Popularity Prediction

Topic popularity prediction in social networks has drawn much attention ...

0 Yiming Zhang, et al. ∙

research

∙ 08/20/2017

Adaptive Sampling for Rapidly Matching Histograms

In exploratory data analysis, analysts often have a need to identify his...

0 Stephen Macke, et al. ∙

research

∙ 06/15/2017

A softening-healing law for self-healing quasi-brittle materials: analyzing with Strong Discontinuity embedded Approach

Quasi-brittle materials such as concrete suffer from cracks during their...

0 Yiming Zhang, et al. ∙

Yiming Zhang

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