b'Bohan Li'

research

∙ 08/15/2023

Self-Supervised Dynamic Hypergraph Recommendation based on Hyper-Relational Knowledge Graph

Knowledge graphs (KGs) are commonly used as side information to enhance ...

0 YI LIU, et al. ∙

research

∙ 06/22/2023

One at A Time: Multi-step Volumetric Probability Distribution Diffusion for Depth Estimation

Recent works have explored the fundamental role of depth estimation in m...

0 Bohan Li, et al. ∙

research

∙ 06/20/2023

EMoG: Synthesizing Emotive Co-speech 3D Gesture with Diffusion Model

Although previous co-speech gesture generation methods are able to synth...

0 Lianying Yin, et al. ∙

research

∙ 06/05/2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images

Structured text extraction is one of the most valuable and challenging a...

0 Wenwen Yu, et al. ∙

research

∙ 05/10/2023

MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO

To make indoor industrial cell-free massive multiple-input multiple-outp...

0 Bohan Li, et al. ∙

research

∙ 04/22/2023

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation

3D representation disentanglement aims to identify, decompose, and manip...

0 Baao Xie, et al. ∙

research

∙ 04/19/2023

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning

Prompt-based learning reformulates downstream tasks as cloze problems by...

0 Bohan Li, et al. ∙

research

∙ 04/18/2023

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification

Cross-domain text classification aims to adapt models to a target domain...

0 Yunlong Feng, et al. ∙

research

∙ 03/24/2023

StereoScene: BEV-Assisted Stereo Matching Empowers 3D Semantic Scene Completion

3D semantic scene completion (SSC) is an ill-posed task that requires in...

0 Bohan Li, et al. ∙

research

∙ 03/12/2023

Local Search For SMT On Linear and Multilinear Real Arithmetic

Satisfiability Modulo Theories (SMT) has significant application in vari...

0 Bohan Li, et al. ∙

research

∙ 02/04/2023

Semantic-Guided Image Augmentation with Pre-trained Models

Image augmentation is a common mechanism to alleviate data scarcity in c...

0 Bohan Li, et al. ∙

research

∙ 01/13/2023

Knowledge Enhancement for Contrastive Multi-Behavior Recommendation

A well-designed recommender system can accurately capture the attributes...

4 Hongrui Xuan, et al. ∙

research

∙ 11/18/2022

Local Search For Satisfiability Modulo Integer Arithmetic Theories

Satisfiability Modulo Theories (SMT) refers to the problem of deciding t...

0 Shaowei Cai, et al. ∙

research

∙ 09/23/2022

MetaPrompting: Learning to Learn Better Prompts

Prompting method is regarded as one of the crucial progress for few-shot...

0 Yutai Hou, et al. ∙

research

∙ 06/17/2022

Spectral-Efficiency of Cell-Free Massive MIMO with Multicarrier-Division Duplex

A multicarrier-division duplex (MDD)-based cell-free (CF) scheme, namely...

0 Bohan Li, et al. ∙

research

∙ 04/28/2022

Multicarrier-Division Duplex for Solving the Channel Aging Problem in Massive MIMO Systems

The separation of training and data transmission as well as the frequent...

0 Bohan Li, et al. ∙

research

∙ 04/02/2022

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Prompting methods recently achieve impressive success in few-shot learni...

0 Yutai Hou, et al. ∙

research

∙ 04/01/2022

AdaSpeech 4: Adaptive Text to Speech in Zero-Shot Scenarios

Adaptive text to speech (TTS) can synthesize new voices in zero-shot sce...

4 Yihan Wu, et al. ∙

research

∙ 11/24/2021

Decoupling Visual-Semantic Feature Learning for Robust Scene Text Recognition

Semantic information has been proved effective in scene text recognition...

0 Changxu Cheng, et al. ∙

research

∙ 10/05/2021

Data Augmentation Approaches in Natural Language Processing: A Survey

As an effective strategy, data augmentation (DA) alleviates data scarcit...

0 Bohan Li, et al. ∙

research

∙ 07/20/2021

Follow Your Path: a Progressive Method for Knowledge Distillation

Deep neural networks often have a huge number of parameters, which posts...

0 Wenxian Shi, et al. ∙

research

∙ 07/06/2021

AdaSpeech 3: Adaptive Text to Speech for Spontaneous Style

While recent text to speech (TTS) models perform very well in synthesizi...

9 Yuzi Yan, et al. ∙

research

∙ 04/20/2021

AdaSpeech 2: Adaptive Text to Speech with Untranscribed Data

Text to speech (TTS) is widely used to synthesize personal voice for a t...

13 Yuzi Yan, et al. ∙

research

∙ 03/01/2021

AdaSpeech: Adaptive Text to Speech for Custom Voice

Custom voice, a specific text to speech (TTS) service in commercial spee...

25 Mingjian Chen, et al. ∙

research

∙ 11/02/2020

On the Sentence Embeddings from Pre-trained Language Models

Pre-trained contextual representations like BERT have achieved great suc...

0 Bohan Li, et al. ∙

research

∙ 09/02/2019

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

When trained effectively, the Variational Autoencoder (VAE) is both a po...

22 Bohan Li, et al. ∙

research

∙ 01/22/2019

An Adversarial Approach to High-Quality, Sentiment-Controlled Neural Dialogue Generation

In this work, we propose a method for neural dialogue response generatio...

0 Xiang Kong, et al. ∙

research

∙ 01/08/2019

Multi-Perspective Fusion Network for Commonsense Reading Comprehension

Commonsense Reading Comprehension (CRC) is a significantly challenging t...

0 Chunhua Liu, et al. ∙

research

∙ 06/15/2018

Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data

How to model distribution of sequential data, including but not limited ...

0 Guokun Lai, et al. ∙

Bohan Li

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