b'Junyi Li'

research

∙ 09/21/2023

Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition

For improving image composition and aesthetic quality, most existing met...

0 Xiaoyu Liu, et al. ∙

research

∙ 05/26/2023

Zero-shot Visual Question Answering with Language Model Feedback

In this paper, we propose a novel language model guided captioning appro...

0 Yifan Du, et al. ∙

research

∙ 05/26/2023

Learning to Imagine: Visually-Augmented Natural Language Generation

People often imagine relevant scenes to aid in the writing process. In t...

0 Tianyi Tang, et al. ∙

research

∙ 05/19/2023

HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models

Large language models (LLMs), such as ChatGPT, are prone to generate hal...

0 Junyi Li, et al. ∙

research

∙ 05/18/2023

The Web Can Be Your Oyster for Improving Large Language Models

Large language models (LLMs) encode a large amount of world knowledge. H...

0 Junyi Li, et al. ∙

research

∙ 04/25/2023

RenderDiffusion: Text Generation as Image Generation

Diffusion models have become a new generative paradigm for text generati...

0 Junyi Li, et al. ∙

research

∙ 02/13/2023

Communication-Efficient Federated Bilevel Optimization with Local and Global Lower Level Problems

Bilevel Optimization has witnessed notable progress recently with new em...

0 Junyi Li, et al. ∙

research

∙ 02/13/2023

FedDA: Faster Framework of Local Adaptive Gradient Methods via Restarted Dual Averaging

Federated learning (FL) is an emerging learning paradigm to tackle massi...

0 Junyi Li, et al. ∙

research

∙ 12/26/2022

TextBox 2.0: A Text Generation Library with Pre-trained Language Models

To facilitate research on text generation, this paper presents a compreh...

0 Tianyi Tang, et al. ∙

research

∙ 10/25/2022

FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings

Recommender systems are widely used in industry to improve user experien...

0 Junyi Li, et al. ∙

research

∙ 10/24/2022

ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation

We study the text generation task under the approach of pre-trained lang...

0 Junyi Li, et al. ∙

research

∙ 06/24/2022

MVP: Multi-task Supervised Pre-training for Natural Language Generation

Pre-trained language models (PLMs) have achieved notable success in natu...

6 Tianyi Tang, et al. ∙

research

∙ 06/11/2022

Communication-Efficient Robust Federated Learning with Noisy Labels

Federated learning (FL) is a promising privacy-preserving machine learni...

13 Junyi Li, et al. ∙

research

∙ 05/03/2022

Local Stochastic Bilevel Optimization with Momentum-Based Variance Reduction

Bilevel Optimization has witnessed notable progress recently with new em...

7 Junyi Li, et al. ∙

research

∙ 05/03/2022

Learning to Transfer Prompts for Text Generation

Pretrained language models (PLMs) have made remarkable progress in text ...

5 Junyi Li, et al. ∙

research

∙ 05/03/2022

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models

Nowadays, pretrained language models (PLMs) have dominated the majority ...

1 Junyi Li, et al. ∙

research

∙ 04/12/2022

Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones

While significant progress has been made in deep video denoising, it rem...

1 Junyi Li, et al. ∙

research

∙ 03/22/2022

WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models

Compared with the domain-specific model, the vision-language pre-trainin...

0 Sha Yuan, et al. ∙

research

∙ 02/18/2022

A Survey of Vision-Language Pre-Trained Models

As Transformer evolved, pre-trained models have advanced at a breakneck ...

20 Yifan Du, et al. ∙

research

∙ 01/21/2022

Context-Tuning: Learning Contextualized Prompts for Natural Language Generation

Recently, pretrained language models (PLMs) have made exceptional succes...

1 Tianyi Tang, et al. ∙

research

∙ 01/14/2022

A Survey of Pretrained Language Models Based Text Generation

Text Generation aims to produce plausible and readable text in human lan...

158 Junyi Li, et al. ∙

research

∙ 12/09/2021

A Fully Single Loop Algorithm for Bilevel Optimization without Hessian Inverse

In this paper, we propose a new Hessian inverse free Fully Single Loop A...

3 Junyi Li, et al. ∙

research

∙ 06/21/2021

Compositional Federated Learning: Applications in Distributionally Robust Averaging and Meta Learning

In the paper, we propose an effective and efficient Compositional Federa...

7 Feihu Huang, et al. ∙

research

∙ 06/15/2021

SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients

Adaptive gradient methods have shown excellent performance for solving m...

13 Feihu Huang, et al. ∙

research

∙ 06/03/2021

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

This paper studies how to automatically generate a natural language text...

16 Junyi Li, et al. ∙

research

∙ 05/21/2021

Pretrained Language Models for Text Generation: A Survey

Text generation has become one of the most important yet challenging tas...

22 Junyi Li, et al. ∙

research

∙ 05/09/2021

Knowledge-based Review Generation by Coherence Enhanced Text Planning

As a natural language generation task, it is challenging to generate inf...

6 Junyi Li, et al. ∙

research

∙ 04/13/2021

Mitigating Hand Blockage with Non-Directional Beamforming Codebooks

Hand blockage leads to significant performance impairments at millimeter...

0 Vasanthan Raghavan, et al. ∙

research

∙ 01/06/2021

TextBox: A Unified, Modularized, and Extensible Framework for Text Generation

We release an open library, called TextBox, which provides a unified, mo...

8 Junyi Li, et al. ∙

research

∙ 10/04/2020

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network

Personalized review generation (PRG) aims to automatically produce revie...

6 Junyi Li, et al. ∙

research

∙ 09/01/2020

Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee

Due to the hierarchical structure of many machine learning problems, bil...

16 Junyi Li, et al. ∙

research

∙ 06/17/2020

Faster Secure Data Mining via Distributed Homomorphic Encryption

Due to the rising privacy demand in data mining, Homomorphic Encryption ...

0 Junyi Li, et al. ∙

research

∙ 06/07/2020

Generating Realistic Stock Market Order Streams

We propose an approach to generate realistic and high-fidelity stock mar...

0 Junyi Li, et al. ∙

research

∙ 04/13/2020

CLUE: A Chinese Language Understanding Evaluation Benchmark

We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...

0 Liang Xu, et al. ∙

research

∙ 03/28/2020

Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

The task of Knowledge Graph Completion (KGC) aims to automatically infer...

3 Gaole He, et al. ∙

research

∙ 12/08/2019

Hand and Body Blockage Measurements with Form-Factor User Equipment at 28 GHz

Blockage by the human hand/body is an important impairment in realizing ...

0 Vasanthan Raghavan, et al. ∙

research

∙ 06/11/2019

Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding

Generating long and informative review text is a challenging natural lan...

0 Junyi Li, et al. ∙

research

∙ 01/04/2019

Evolution of Physical-Layer Communications Research in the Post-5G Era

The evolving Fifth Generation New Radio (5G-NR) cellular standardization...

0 Vasanthan Raghavan, et al. ∙

research

∙ 01/04/2019

Antenna Placement and Performance Tradeoffs with Hand Blockage in Millimeter Wave Systems

The ongoing commercial deployment of millimeter wave systems brings into...

0 Vasanthan Raghavan, et al. ∙

research

∙ 04/01/2018

Investigation of Performance in Integrated Access and Backhaul Networks

Wireless backhaul allows densification of mobile networks without incurr...

0 Muhammad Nazmul Islam, et al. ∙

research

∙ 02/14/2018

Channel Reconstruction-Based Hybrid Precoding for Millimeter Wave Multi-User MIMO Systems

The focus of this paper is on multi-user MIMO transmissions for millimet...

0 Miguel R. Castellanos, et al. ∙

research

∙ 01/10/2018

Statistical Blockage Modeling and Robustness of Beamforming in Millimeter Wave Systems

There has been a growing interest in the commercialization of millimeter...

0 Vasanthan Raghavan, et al. ∙

Junyi Li

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