Search Results for author: Jiaqi Xu

Found 23 papers, 7 papers with code

Unveiling the Generalization Power of Fine-Tuned Large Language Models

1 code implementation14 Mar 2024 Haoran Yang, Yumeng Zhang, Jiaqi Xu, Hongyuan Lu, Pheng Ann Heng, Wai Lam

While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities, fine-tuning these models on downstream, domain-specific datasets is often necessary to yield superior performance on test sets compared to their counterparts without fine-tuning.

In-Context Learning

Slot-VLM: SlowFast Slots for Video-Language Modeling

no code implementations20 Feb 2024 Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu

A pivotal challenge is the development of an efficient method to encapsulate video content into a set of representative tokens to align with LLMs.

Language Modelling Object +3

Near-Field Communications: A Comprehensive Survey

no code implementations11 Jan 2024 Yuanwei Liu, Chongjun Ouyang, Zhaolin Wang, Jiaqi Xu, Xidong Mu, A. Lee Swindlehurst

This evolution is giving rise to the emergence of near-field communications (NFC) in future wireless systems.

Retrieval-based Video Language Model for Efficient Long Video Question Answering

no code implementations8 Dec 2023 Jiaqi Xu, Cuiling Lan, Wenxuan Xie, Xuejin Chen, Yan Lu

To address these issues, we introduce a simple yet effective retrieval-based video language model (R-VLM) for efficient and interpretable long video QA.

Language Modelling Natural Language Understanding +4

EasyPhoto: Your Smart AI Photo Generator

2 code implementations7 Oct 2023 Ziheng Wu, Jiaqi Xu, Xinyi Zou, Kunzhe Huang, Xing Shi, Jun Huang

By training a digital doppelganger of a specific user ID using 5 to 20 relevant images, the finetuned model (according to the trained LoRA model) allows for the generation of AI photos using arbitrary templates.

FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

1 code implementation28 Aug 2023 Yang Liu, Cheng Yu, Lei Shang, Yongyi He, Ziheng Wu, Xingjun Wang, Chao Xu, Haoyu Xie, Weida Wang, Yuze Zhao, Lin Zhu, Chen Cheng, Weitao Chen, Yuan YAO, Wenmeng Zhou, Jiaqi Xu, Qiang Wang, Yingda Chen, Xuansong Xie, Baigui Sun

In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.

Attribute Potrait Generation +1

MRecGen: Multimodal Appropriate Reaction Generator

no code implementations5 Jul 2023 Jiaqi Xu, Cheng Luo, Weicheng Xie, Linlin Shen, Xiaofeng Liu, Lu Liu, Hatice Gunes, Siyang Song

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour.

Shape Guided Gradient Voting for Domain Generalization

no code implementations19 Jun 2023 Jiaqi Xu, Yuwang Wang, Xuejin Chen

In this work, with the assumption that the gradients of a specific domain samples under the classification task could also reflect the property of the domain, we propose a Shape Guided Gradient Voting (SGGV) method for domain generalization.

Domain Generalization Image Classification

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

no code implementations10 Mar 2023 Jiaqi Xu, Bo Liu, Yunkuo Chen, Mengli Cheng, Xing Shi

Specifically, we design a Text-Guided MultiWay-Sampler based on adapt-pooling residual mapping and self-attention modules to sample long sequences and fuse multi-modal features, which reduces the computational costs and addresses performance degradation caused by previous samplers.

 Ranked #1 on TGIF-Transition on TGIF-QA (using extra training data)

Multi-Label Classification Multiple-choice +8

Active Simultaneously Transmitting and Reflecting (STAR)-RISs: Modelling and Analysis

no code implementations9 Feb 2023 Jiaqi Xu, Jiakuo Zuo, Joey Tianyi Zhou, Yuanwei Liu

The amplitude gains of the STAR element are derived for both coupled and independent phase-shift scenarios.

Exploiting STAR-RISs in Near-Field Communications

no code implementations28 Nov 2022 Jiaqi Xu, Xidong Mu, Yuanwei Liu

Exploiting the electric current distribution, a Green's function method based channel model is proposed.

Simultaneously Transmitting and Reflecting (STAR)-RISs: Are they Applicable to Dual-Sided Incidence?

no code implementations12 Sep 2022 Jiaqi Xu, Xidong Mu, Joey Tianyi Zhou, Yuanwei Liu

A hardware model and a signal model are proposed for dual-sided simultaneously transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs), where the signal simultaneously incident on both sides of the surface.

Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation

no code implementations30 Nov 2021 Jiaqi Xu, Siyang Song, Keerthy Kusumam, Hatice Gunes, Michel Valstar

The short-term depressive behaviour modelling stage first deep learns depression-related facial behavioural features from multiple short temporal scales, where a Depression Feature Enhancement (DFE) module is proposed to enhance the depression-related clues for all temporal scales and remove non-depression noises.

SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

1 code implementation30 Aug 2021 Jiaqi Xu, Bin Li, Bo Lu, Yun-hui Liu, Qi Dou, Pheng-Ann Heng

Ten learning-based surgical tasks are built in the platform, which are common in the real autonomous surgical execution.

Reinforcement Learning (RL)

Simultaneously Transmitting and Reflecting (STAR) Intelligent Omni-Surfaces, Their Modeling and Implementation

no code implementations13 Aug 2021 Jiaqi Xu, Yuanwei Liu, Xidong Mu, Joey Tianyi Zhou, Lingyang Song, H. Vincent Poor, Lajos Hanzo

With the rapid development of advanced electromagnetic manipulation technologies, researchers and engineers are starting to study smart surfaces that can achieve enhanced coverages, high reconfigurability, and are easy to deploy.

STAR-RISs: Simultaneous Transmitting and Reflecting Reconfigurable Intelligent Surfaces

no code implementations24 Jan 2021 Jiaqi Xu, Yuanwei Liu, Xidong Mu, Octavia A. Dobre

In this letter, simultaneous transmitting and reflecting reconfigurable intelligent surfaces (STAR-RISs) are studied.

Reconfigurable Intelligent Surface-assisted Networks: Phase Alignment Categories

no code implementations22 Dec 2020 Jiaqi Xu, Yuanwei Liu

The reconfigurable intelligent surface (RIS) is one of the promising technology contributing to the next generation smart radio environment.

Reconfigurable Intelligent Surfaces: Principles and Opportunities

no code implementations7 Jul 2020 Yuanwei Liu, Xiao Liu, Xidong Mu, Tianwei Hou, Jiaqi Xu, Marco Di Renzo, Naofal Al-Dhahir

In this context, we provide a comprehensive overview of the state-of-the-art on RISs, with focus on their operating principles, performance evaluation, beamforming design and resource management, applications of machine learning to RIS-enhanced wireless networks, as well as the integration of RISs with other emerging technologies.

BIG-bench Machine Learning Management

Deep Mining External Imperfect Data for Chest X-ray Disease Screening

no code implementations6 Jun 2020 Luyang Luo, Lequan Yu, Hao Chen, Quande Liu, Xi Wang, Jiaqi Xu, Pheng-Ann Heng

Recent researches have demonstrated that performance bottleneck exists in joint training on different CXR datasets, and few made efforts to address the obstacle.

General Classification Missing Labels +1

IRNet: Instance Relation Network for Overlapping Cervical Cell Segmentation

1 code implementation19 Aug 2019 Yanning Zhou, Hao Chen, Jiaqi Xu, Qi Dou, Pheng-Ann Heng

In this paper, we propose a novel Instance Relation Network (IRNet) for robust overlapping cell segmentation by exploring instance relation interaction.

Cell Segmentation Instance Segmentation +5

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