b'Yu Cheng'

research

∙ 09/21/2023

ORTexME: Occlusion-Robust Human Shape and Pose via Temporal Average Texture and Mesh Encoding

In 3D human shape and pose estimation from a monocular video, models tra...

0 Yu Cheng, et al. ∙

research

∙ 09/14/2023

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation

Learning a recommender system model from an item's raw modality features...

0 Jiaqi Zhang, et al. ∙

research

∙ 09/13/2023

An Image Dataset for Benchmarking Recommender Systems with Raw Pixels

Recommender systems (RS) have achieved significant success by leveraging...

0 Yu Cheng, et al. ∙

research

∙ 08/09/2023

Adaptive Intellect Unleashed: The Feasibility of Knowledge Transfer in Large Language Models

We conduct the first empirical study on using knowledge transfer to impr...

0 Qing Huang, et al. ∙

research

∙ 06/21/2023

Prompt Sapper: A LLM-Empowered Production Tool for Building AI Chains

The emergence of foundation models, such as large language models (LLMs)...

0 Yu Cheng, et al. ∙

research

∙ 06/20/2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Generative Pre-trained Transformer (GPT) models have exhibited exciting ...

0 Boxin Wang, et al. ∙

research

∙ 06/15/2023

Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling

Policy optimization methods are powerful algorithms in Reinforcement Lea...

5 Yunfan Li, et al. ∙

research

∙ 06/04/2023

Prompt Sapper: LLM-Empowered Software Engineering Infrastructure for AI-Native Services

Foundation models, such as GPT-4, DALL-E have brought unprecedented AI "...

0 Zhenchang Xing, et al. ∙

research

∙ 05/24/2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions

Generalization to unseen tasks is an important ability for few-shot lear...

0 Woojeong Jin, et al. ∙

research

∙ 05/19/2023

Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights

Text-based collaborative filtering (TCF) has become the mainstream appro...

0 Ruyu Li, et al. ∙

research

∙ 05/19/2023

DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment

Sensitivity to severe occlusion and large view angles limits the usage s...

0 Heyuan Li, et al. ∙

research

∙ 05/06/2023

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding

This paper addresses the temporal sentence grounding (TSG). Although exi...

0 Daizong Liu, et al. ∙

research

∙ 03/18/2023

Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Fine-tuning large pre-trained language models on downstream tasks has be...

0 Qingru Zhang, et al. ∙

research

∙ 02/24/2023

Hiding Data Helps: On the Benefits of Masking for Sparse Coding

Sparse coding refers to modeling a signal as sparse linear combinations ...

0 Muthu Chidambaram, et al. ∙

research

∙ 01/05/2023

Hypotheses Tree Building for One-Shot Temporal Sentence Localization

Given an untrimmed video, temporal sentence localization (TSL) aims to l...

0 Daizong Liu, et al. ∙

research

∙ 01/02/2023

Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding

Temporal sentence grounding (TSG) aims to identify the temporal boundary...

0 Jiahao Zhu, et al. ∙

research

∙ 12/01/2022

Pre-averaging fractional processes contaminated by noise, with an application to turbulence

In this article, we consider the problem of estimating fractional proces...

0 David chen, et al. ∙

research

∙ 10/26/2022

M^3ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design

Multi-task learning (MTL) encapsulates multiple learned tasks in a singl...

0 Hanxue Liang, et al. ∙

research

∙ 08/29/2022

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Diffusion models (DMs) have shown great potential for high-quality image...

15 Wan-Cyuan Fan, et al. ∙

research

∙ 08/25/2022

Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons

In multi-person 2D pose estimation, the bottom-up methods simultaneously...

12 Yu Cheng, et al. ∙

research

∙ 07/26/2022

Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training

Large-scale multi-modal contrastive pre-training has demonstrated great ...

7 Haoxuan You, et al. ∙

research

∙ 07/12/2022

Backdoor Attacks on Crowd Counting

Crowd counting is a regression task that estimates the number of people ...

0 Yuhua Sun, et al. ∙

research

∙ 06/01/2022

Towards the Development of A Three-Dimensional SBP-SAT FDTD Method: Theory and Validation

To enhance the scalability and performance of the traditional finite-dif...

0 Yu Cheng, et al. ∙

research

∙ 05/23/2022

Local Byte Fusion for Neural Machine Translation

Subword tokenization schemes are the dominant technique used in current ...

0 Makesh Narsimhan Sreedhar, et al. ∙

research

∙ 05/16/2022

Efficient Algorithms for Planning with Participation Constraints

We consider the problem of planning with participation constraints intro...

0 Hanrui Zhang, et al. ∙

research

∙ 05/03/2022

SemAttack: Natural Textual Attacks via Different Semantic Spaces

Recent studies show that pre-trained language models (LMs) are vulnerabl...

0 Boxin Wang, et al. ∙

research

∙ 05/02/2022

Dual networks based 3D Multi-Person Pose Estimation from Monocular Video

Monocular 3D human pose estimation has made progress in recent years. Mo...

0 Yu Cheng, et al. ∙

research

∙ 03/12/2022

The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy

Vision transformers (ViTs) have gained increasing popularity as they are...

0 Tianlong Chen, et al. ∙

research

∙ 02/22/2022

A Deep Reinforcement Learning based Approach for NOMA-based Random Access Network with Truncated Channel Inversion Power Control

As a main use case of 5G and Beyond wireless network, the ever-increasin...

0 Ziru Chen, et al. ∙

research

∙ 02/22/2022

A SBP-SAT FDTD Subgridding Method Using Staggered Yee's Grids Without Modifying Field Components

A summation-by-parts simultaneous approximation term (SBP-SAT) finite-di...

0 Yuhui Wang, et al. ∙

research

∙ 01/14/2022

Unsupervised Temporal Video Grounding with Deep Semantic Clustering

Temporal video grounding (TVG) aims to localize a target segment in a vi...

14 Daizong Liu, et al. ∙

research

∙ 01/03/2022

Memory-Guided Semantic Learning Network for Temporal Sentence Grounding

Temporal sentence grounding (TSG) is crucial and fundamental for video u...

0 Daizong Liu, et al. ∙

research

∙ 11/04/2021

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

Large-scale pre-trained language models have achieved tremendous success...

0 Boxin Wang, et al. ∙

research

∙ 10/30/2021

DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models

Gigantic pre-trained models have become central to natural language proc...

0 Xuxi Chen, et al. ∙

research

∙ 10/18/2021

A Stable FDTD Subgridding Scheme with SBP-SAT for Transient Electromagnetic Analysis

We proposed a provably stable FDTD subgridding method for accurate and e...

0 Yu Cheng, et al. ∙

research

∙ 10/16/2021

A Good Prompt Is Worth Millions of Parameters? Low-resource Prompt-based Learning for Vision-Language Models

Large pretrained vision-language (VL) models can learn a new task with a...

0 Woojeong Jin, et al. ∙

research

∙ 10/16/2021

What do Compressed Large Language Models Forget? Robustness Challenges in Model Compression

Recent works have focused on compressing pre-trained language models (PL...

13 Mengnan Du, et al. ∙

research

∙ 09/23/2021

Outlier-Robust Sparse Estimation via Non-Convex Optimization

We explore the connection between outlier-robust high-dimensional statis...

1 Yu Cheng, et al. ∙

research

∙ 06/08/2021

VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation

Most existing video-and-language (VidL) research focuses on a single dat...

3 Linjie Li, et al. ∙

research

∙ 06/08/2021

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Vision transformers (ViTs) have recently received explosive popularity, ...

0 Tianlong Chen, et al. ∙

research

∙ 05/12/2021

Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time

We study the problem of learning Bayesian networks where an ϵ-fraction o...

0 Yu Cheng, et al. ∙

research

∙ 04/23/2021

Playing Lottery Tickets with Vision and Language

Large-scale transformer-based pre-training has recently revolutionized v...

11 Zhe Gan, et al. ∙

research

∙ 04/12/2021

Automated Mechanism Design for Classification with Partial Verification

We study the problem of automated mechanism design with partial verifica...

0 Hanrui Zhang, et al. ∙

research

∙ 04/01/2021

UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training

Vision-and-language pre-training has achieved impressive success in lear...

2 Mingyang Zhou, et al. ∙

research

∙ 04/01/2021

CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning

This work concerns video-language pre-training and representation learni...

0 Luowei Zhou, et al. ∙

research

∙ 03/30/2021

The Elastic Lottery Ticket Hypothesis

Lottery Ticket Hypothesis raises keen attention to identifying sparse tr...

0 Xiaohan Chen, et al. ∙

research

∙ 03/22/2021

Adversarial Feature Augmentation and Normalization for Visual Recognition

Recent advances in computer vision take advantage of adversarial data au...

14 Tianlong Chen, et al. ∙

research

∙ 03/22/2021

Context-aware Biaffine Localizing Network for Temporal Sentence Grounding

This paper addresses the problem of temporal sentence grounding (TSG), w...

0 Daizong Liu, et al. ∙

research

∙ 03/12/2021

Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning

Few-shot text classification is a fundamental NLP task in which a model ...

0 Jason Wei, et al. ∙

research

∙ 02/28/2021

Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly

Training generative adversarial networks (GANs) with limited data genera...

0 Tianlong Chen, et al. ∙

Yu Cheng

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