b'Han Zhang'

research

∙ 09/10/2023

Chat2Brain: A Method for Mapping Open-Ended Semantic Queries to Brain Activation Maps

Over decades, neuroscience has accumulated a wealth of research results ...

0 Yaonai Wei, et al. ∙

research

∙ 08/28/2023

9DTact: A Compact Vision-Based Tactile Sensor for Accurate 3D Shape Reconstruction and Generalizable 6D Force Estimation

The advancements in vision-based tactile sensors have boosted the aptitu...

0 Changyi Lin, et al. ∙

research

∙ 08/26/2023

Price-Discrimination Game for Distributed Resource Management in Federated Learning

In vanilla federated learning (FL) such as FedAvg, the parameter server ...

0 Han Zhang, et al. ∙

research

∙ 08/22/2023

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Generating video stories from text prompts is a complex task. In additio...

0 Emanuele Bugliarello, et al. ∙

research

∙ 08/18/2023

Differentiable Retrieval Augmentation via Generative Language Modeling for E-commerce Query Intent Classification

Retrieval augmentation, which enhances downstream models by a knowledge ...

0 Chenyu Zhao, et al. ∙

research

∙ 08/17/2023

A Framework for Designing Fair Ubiquitous Computing Systems

Over the past few decades, ubiquitous sensors and systems have been an i...

0 Han Zhang, et al. ∙

research

∙ 07/31/2023

NEON: Living Needs Prediction System in Meituan

Living needs refer to the various needs in human's daily lives for survi...

0 Xiaochong Lan, et al. ∙

research

∙ 07/27/2023

Space-Air-Ground Integrated Network (SAGIN): A Survey

Since existing mobile communication networks may not be able to meet the...

0 Jiming Chen, et al. ∙

research

∙ 06/29/2023

ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch

We present ArrayBot, a distributed manipulation system consisting of a 1...

0 Zhengrong Xue, et al. ∙

research

∙ 06/01/2023

Learning Disentangled Prompts for Compositional Image Synthesis

We study domain-adaptive image synthesis, the problem of teaching pretra...

0 Kihyuk Sohn, et al. ∙

research

∙ 05/25/2023

Diversify Your Vision Datasets with Automatic Diffusion-Based Augmentation

Many fine-grained classification tasks, like rare animal identification,...

0 Lisa Dunlap, et al. ∙

research

∙ 05/10/2023

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation

Deep spiking neural networks (SNNs) have drawn much attention in recent ...

0 Chenlin Zhou, et al. ∙

research

∙ 04/24/2023

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

Spiking neural networks (SNNs) offer a promising energy-efficient altern...

0 Chenlin Zhou, et al. ∙

research

∙ 04/22/2023

On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering

Traffic steering (TS) is a promising approach to support various service...

0 Han Zhang, et al. ∙

research

∙ 04/18/2023

Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Surgical phase recognition (SPR) is a crucial element in the digital tra...

16 Benjamin D. Killeen, et al. ∙

research

∙ 04/14/2023

Identity Encoder for Personalized Diffusion

Many applications can benefit from personalized image generation models,...

12 Yu-Chuan Su, et al. ∙

research

∙ 04/05/2023

Taming Encoder for Zero Fine-tuning Image Customization with Text-to-Image Diffusion Models

This paper proposes a method for generating images of customized objects...

1 Xuhui Jia, et al. ∙

research

∙ 03/20/2023

SVDiff: Compact Parameter Space for Diffusion Fine-Tuning

Diffusion models have achieved remarkable success in text-to-image gener...

0 Ligong Han, et al. ∙

research

∙ 03/16/2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning

Prototype, as a representation of class embeddings, has been explored to...

2 Zhuowei Li, et al. ∙

research

∙ 03/08/2023

Streaming Kernel PCA Algorithm With Small Space

Principal Component Analysis (PCA) is a widely used technique in machine...

0 Yichuan Deng, et al. ∙

research

∙ 03/01/2023

StraIT: Non-autoregressive Generation with Stratified Image Transformer

We propose Stratified Image Transformer(StraIT), a pure non-autoregressi...

8 Shengju Qian, et al. ∙

research

∙ 01/26/2023

Evolution of Filter Bubbles and Polarization in News Recommendation

Recent work in news recommendation has demonstrated that recommenders ca...

0 Han Zhang, et al. ∙

research

∙ 12/15/2022

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

This paper investigates a phenomenon where query-based object detectors ...

0 Fangyi Chen, et al. ∙

research

∙ 12/07/2022

Magic: Multi Art Genre Intelligent Choreography Dataset and Network for 3D Dance Generation

Achieving multiple genres and long-term choreography sequences from give...

0 Ronghui Li, et al. ∙

research

∙ 11/29/2022

Dimensionality-Varying Diffusion Process

Diffusion models, which learn to reverse a signal destruction process to...

0 Han Zhang, et al. ∙

research

∙ 11/23/2022

Cost Splitting for Multi-Objective Conflict-Based Search

The Multi-Objective Multi-Agent Path Finding (MO-MAPF) problem is the pr...

0 Cheng Ge, et al. ∙

research

∙ 11/16/2022

MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis

Generative modeling and representation learning are two key tasks in com...

0 Tianhong Li, et al. ∙

research

∙ 11/04/2022

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Recent research has demonstrated the capability of behavior signals capt...

0 Xuhai Xu, et al. ∙

research

∙ 10/18/2022

Using Language to Extend to Unseen Domains

It is expensive to collect training data for every possible domain that ...

3 Lisa Dunlap, et al. ∙

research

∙ 10/07/2022

Topology-Preserving Segmentation Network

Medical image segmentation aims to automatically extract anatomical or p...

0 Han Zhang, et al. ∙

research

∙ 10/05/2022

Towards Semi-automatic Detection and Localization of Indoor Accessibility Issues using Mobile Depth Scanning and Computer Vision

To help improve the safety and accessibility of indoor spaces, researche...

0 Xia Su, et al. ∙

research

∙ 10/05/2022

Phenaki: Variable Length Video Generation From Open Domain Textual Description

We present Phenaki, a model capable of realistic video synthesis, given ...

11 Ruben Villegas, et al. ∙

research

∙ 10/03/2022

Visual Prompt Tuning for Generative Transfer Learning

Transferring knowledge from an image synthesis model trained on a large ...

0 Kihyuk Sohn, et al. ∙

research

∙ 08/15/2022

Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets

While parameter efficient tuning (PET) methods have shown great potentia...

0 Hao Chen, et al. ∙

research

∙ 08/12/2022

Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search

BERT-style models pre-trained on the general corpus (e.g., Wikipedia) an...

0 Yiming Qiu, et al. ∙

research

∙ 08/02/2022

Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing

Recently, open radio access network (O-RAN) has become a promising techn...

0 Han Zhang, et al. ∙

research

∙ 06/22/2022

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

We present the Pathways Autoregressive Text-to-Image (Parti) model, whic...

0 Jiahui Yu, et al. ∙

research

∙ 05/24/2022

Faithful Explanations for Deep Graph Models

This paper studies faithful explanations for Graph Neural Networks (GNNs...

1 Zifan Wang, et al. ∙

research

∙ 05/19/2022

Multicast Scheduling for Multi-Message over Multi-Channel: A Permutation-based Wolpertinger Deep Reinforcement Learning Method

Multicasting is an efficient technique to simultaneously transmit common...

0 Ran Li, et al. ∙

research

∙ 05/09/2022

Self-Serviced IoT: Practical and Private IoT Computation Offloading with Full User Control

The rapid increase in the adoption of Internet-of-Things (IoT) devices r...

0 Dohyun Kim, et al. ∙

research

∙ 05/06/2022

Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder

Dense retrievers encode texts and map them in an embedding space using p...

0 Zhenghao Liu, et al. ∙

research

∙ 04/07/2022

Powering Finetuning in Few-shot Learning: Domain-Agnostic Feature Adaptation with Rectified Class Prototypes

In recent works, utilizing a deep network trained on meta-training set s...

0 Ran Tao, et al. ∙

research

∙ 04/04/2022

MaxViT: Multi-Axis Vision Transformer

Transformers have recently gained significant attention in the computer ...

0 Zhengzhong Tu, et al. ∙

research

∙ 04/01/2022

Unitail: Detecting, Reading, and Matching in Retail Scene

To make full use of computer vision technology in stores, it is required...

0 Fangyi Chen, et al. ∙

research

∙ 03/30/2022

Learning Instance-Specific Adaptation for Cross-Domain Segmentation

We propose a test-time adaptation method for cross-domain image segmenta...

4 Yuliang Zou, et al. ∙

research

∙ 03/13/2022

PNM: Pixel Null Model for General Image Segmentation

A major challenge in image segmentation is classifying object boundaries...

0 Han Zhang, et al. ∙

research

∙ 03/09/2022

Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes

Product quantization (PQ) coupled with a space rotation, is widely used ...

0 Yunjiang Jiang, et al. ∙

research

∙ 02/27/2022

Topology-Preserving Segmentation Network: A Deep Learning Segmentation Framework for Connected Component

Medical image segmentation, which aims to automatically extract anatomic...

0 Han Zhang, et al. ∙

research

∙ 02/21/2022

StyleBERT: Chinese pretraining by font style information

With the success of down streaming task using English pre-trained langua...

0 Chao Lv, et al. ∙

research

∙ 02/08/2022

MaskGIT: Masked Generative Image Transformer

Generative transformers have experienced rapid popularity growth in the ...

10 Huiwen Chang, et al. ∙

Han Zhang

Featured Co-authors