b'Bo Liu'

research

∙ 09/18/2023

Causal-Story: Local Causal Attention Utilizing Parameter-Efficient Tuning For Visual Story Synthesis

The excellent text-to-image synthesis capability of diffusion models has...

0 Tianyi Song, et al. ∙

research

∙ 09/14/2023

Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance

In real-world scenarios, typical visual recognition systems could fail u...

0 Lei Fan, et al. ∙

research

∙ 09/14/2023

Addressing selection bias in cluster randomized experiments via weighting

In cluster randomized experiments, units are often recruited after the r...

0 Georgia Papadogeorgou, et al. ∙

research

∙ 08/20/2023

How Good Are Large Language Models at Out-of-Distribution Detection?

Out-of-distribution (OOD) detection plays a vital role in enhancing the ...

0 Bo Liu, et al. ∙

research

∙ 08/20/2023

Affective Digital Twins for Digital Human: Bridging the Gap in Human-Machine Affective Interaction

In recent years, metaverse and digital humans have become important rese...

0 Feng Lu, et al. ∙

research

∙ 08/18/2023

DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction

Accurate 3D cardiac reconstruction from cine magnetic resonance imaging ...

0 Xiaoxiao He, et al. ∙

research

∙ 08/03/2023

Diffusion-based Time Series Data Imputation for Microsoft 365

Reliability is extremely important for large-scale cloud systems like Mi...

0 Fangkai Yang, et al. ∙

research

∙ 07/29/2023

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce

Position bias, the phenomenon whereby users tend to focus on higher-rank...

0 Yibo Wang, et al. ∙

research

∙ 07/28/2023

Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification

The whole slide image (WSI) classification is often formulated as a mult...

0 Wenhao Tang, et al. ∙

research

∙ 07/04/2023

All in One: Multi-task Prompting for Graph Neural Networks

Recently, ”pre-training and fine-tuning” has been adopted as a standard ...

0 Xiangguo Sun, et al. ∙

research

∙ 06/19/2023

AdaSelection: Accelerating Deep Learning Training through Data Subsampling

In this paper, we introduce AdaSelection, an adaptive sub-sampling metho...

0 Minghe Zhang, et al. ∙

research

∙ 06/15/2023

An Efficient and Multi-private Key Secure Aggregation for Federated Learning

With the emergence of privacy leaks in federated learning, secure aggreg...

0 Xue Yang, et al. ∙

research

∙ 06/10/2023

Multi-modal Pre-training for Medical Vision-language Understanding and Generation: An Empirical Study with A New Benchmark

With the availability of large-scale, comprehensive, and general-purpose...

0 Li Xu, et al. ∙

research

∙ 06/06/2023

FAMO: Fast Adaptive Multitask Optimization

One of the grand enduring goals of AI is to create generalist agents tha...

0 Bo Liu, et al. ∙

research

∙ 06/05/2023

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Lifelong learning offers a promising paradigm of building a generalist a...

0 Bo Liu, et al. ∙

research

∙ 05/22/2023

Multiply robust estimation for causal survival analysis with treatment noncompliance

Comparative effectiveness research with randomized trials or observation...

0 Chao Cheng, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 05/10/2023

Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering

Commonsense question answering (QA) research requires machines to answer...

0 Xin Guan, et al. ∙

research

∙ 05/10/2023

DPMLBench: Holistic Evaluation of Differentially Private Machine Learning

Differential privacy (DP), as a rigorous mathematical definition quantif...

2 Chengkun Wei, et al. ∙

research

∙ 04/22/2023

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Large language models (LLMs) have demonstrated remarkable zero-shot gene...

0 Bo Liu, et al. ∙

research

∙ 04/05/2023

Practical Lessons on Optimizing Sponsored Products in eCommerce

In this paper, we study multiple problems from sponsored product optimiz...

0 Yanbing Xue, et al. ∙

research

∙ 04/05/2023

PStrata: An R Package for Principal Stratification

Post-treatment confounding is a common problem in causal inference, incl...

0 Bo Liu, et al. ∙

research

∙ 03/31/2023

No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation

Online Social Network (OSN) has become a hotbed of fake news due to the ...

0 Biwei Cao, et al. ∙

research

∙ 03/28/2023

Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection

Scene text detection is a challenging computer vision task due to the hi...

0 Tao He, et al. ∙

research

∙ 03/10/2023

MuLTI: Efficient Video-and-Language Understanding with MultiWay-Sampler and Multiple Choice Modeling

Video-and-language understanding has a variety of applications in the in...

0 Jiaqi Xu, et al. ∙

research

∙ 01/18/2023

Principal Stratification with Time-to-Event Outcomes

Post-randomization events, also known as intercurrent events, such as tr...

0 Bo Liu, et al. ∙

research

∙ 01/14/2023

Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level

In-memory key-value stores (IMKVSes) serve many online applications beca...

0 Pu Pang, et al. ∙

research

∙ 12/22/2022

Self-supervised Hypergraph Representation Learning for Sociological Analysis

Modern sociology has profoundly uncovered many convincing social criteri...

0 Xiangguo Sun, et al. ∙

research

∙ 11/21/2022

Intelligent Computing: The Latest Advances, Challenges and Future

Computing is a critical driving force in the development of human civili...

16 Shiqiang Zhu, et al. ∙

research

∙ 11/16/2022

AlignVE: Visual Entailment Recognition Based on Alignment Relations

Visual entailment (VE) is to recognize whether the semantics of a hypoth...

0 Biwei Cao, et al. ∙

research

∙ 11/11/2022

Spatial Temporal Graph Convolution with Graph Structure Self-learning for Early MCI Detection

Graph neural networks (GNNs) have been successfully applied to early mil...

0 Yunpeng Zhao, et al. ∙

research

∙ 10/20/2022

How Does a Deep Learning Model Architecture Impact Its Privacy?

As a booming research area in the past decade, deep learning technologie...

0 Guangsheng Zhang, et al. ∙

research

∙ 10/10/2022

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation

Deep reinforcement learning (RL) has brought many successes for autonomo...

10 Zifan Xu, et al. ∙

research

∙ 09/19/2022

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Bilevel optimization (BO) is useful for solving a variety of important m...

10 Mao Ye, et al. ∙

research

∙ 08/17/2022

Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning

Goal-conditioned reinforcement learning (GCRL) has a wide range of poten...

7 Bo Liu, et al. ∙

research

∙ 07/25/2022

Video object tracking based on YOLOv7 and DeepSORT

Multiple object tracking (MOT) is an important technology in the field o...

0 Feng Yang, et al. ∙

research

∙ 06/21/2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

There has been significant progress in developing reinforcement learning...

8 Jiayi Weng, et al. ∙

research

∙ 05/23/2022

Boosting Multi-Label Image Classification with Complementary Parallel Self-Distillation

Multi-Label Image Classification (MLIC) approaches usually exploit label...

18 Jiazhi Xu, et al. ∙

research

∙ 05/06/2022

Implicit semantic-based personalized micro-videos recommendation

With the rapid development of mobile Internet and big data, a huge amoun...

0 Bo Liu, et al. ∙

research

∙ 04/11/2022

Effective Mutation Rate Adaptation through Group Elite Selection

Evolutionary algorithms are sensitive to the mutation rate (MR); no sing...

8 Akarsh Kumar, et al. ∙

research

∙ 03/30/2022

An Iterative Co-Training Transductive Framework for Zero Shot Learning

In zero-shot learning (ZSL) community, it is generally recognized that t...

0 Bo Liu, et al. ∙

research

∙ 03/24/2022

Continual Learning and Private Unlearning

As intelligent agents become autonomous over longer periods of time, the...

48 Bo Liu, et al. ∙

research

∙ 03/17/2022

Semantic-diversity transfer network for generalized zero-shot learning via inner disagreement based OOD detector

Zero-shot learning (ZSL) aims to recognize objects from unseen classes, ...

0 Bo Liu, et al. ∙

research

∙ 03/13/2022

One Parameter Defense – Defending against Data Inference Attacks via Differential Privacy

Machine learning models are vulnerable to data inference attacks, such a...

7 Dayong Ye, et al. ∙

research

∙ 03/13/2022

Label-only Model Inversion Attack: The Attack that Requires the Least Information

In a model inversion attack, an adversary attempts to reconstruct the da...

0 Dayong Ye, et al. ∙

research

∙ 03/01/2022

SMTNet: Hierarchical cavitation intensity recognition based on sub-main transfer network

With the rapid development of smart manufacturing, data-driven machinery...

0 Yu Sha, et al. ∙

research

∙ 03/01/2022

A multi-task learning for cavitation detection and cavitation intensity recognition of valve acoustic signals

With the rapid development of smart manufacturing, data-driven machinery...

0 Yu Sha, et al. ∙

research

∙ 02/26/2022

Regional-Local Adversarially Learned One-Class Classifier Anomalous Sound Detection in Global Long-Term Space

Anomalous sound detection (ASD) is one of the most significant tasks of ...

0 Yu Sha, et al. ∙

research

∙ 02/26/2022

An acoustic signal cavitation detection framework based on XGBoost with adaptive selection feature engineering

Valves are widely used in industrial and domestic pipeline systems. Howe...

0 Yu Sha, et al. ∙

research

∙ 02/21/2022

Domain-level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification

Aspect-based sentiment classification (ABSC) is a very challenging subta...

0 Zhenxin Wu, et al. ∙

Bo Liu

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