Resume

刘奇煚

A brief resume is available in PDF format (Mar. 2024 version).

Contact

• Email: liu@qijiong.work
• Github: Jyonn
• Homepage: https://liu.qijiong.work

Education

2023-2024 (expected)

Visiting Scholar, Computing; National University of Singapore (Singapore)

2021-2024 (expected)

PhD, Computing; The Hong Kong Polytechnic University (Hong Kong SAR)

2018-2021

MSc, Computer Science; Zhejiang University (China)

2014-2018

BSc, Software Engineering; Zhejiang University (China)

Working Experience

Apr. 2022 - Aug. 2022

Algorithm Intern; Huawei Business Group (Nanjing)

Sept. 2020 - Jan. 2021

Algorithm Intern; Huawei Noah’s Ark Lab (Shenzhen)

Aug. 2017 - Jul. 2018

Algorithm Intern; Cisco Zeus Group (San Jose)

Publications and Preprints

Large Language Models

• Under Review Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
  Qijiong LIU^*, Jieming ZHU^*, Yanting YANG, Quanyu DAI, Zhaocheng DU, Xiao-Ming WU, Zhou ZHAO, Rui ZHANG, Zhenhua DONG
  ^*Equal contribution.
  Paper Page
• Under Review Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation
  Jiahao WU^*, Qijiong LIU^*, Hengchang HU, Wenqi FAN, Shengcai LIU, Qing LI^#, Xiao-Ming WU^#, and Ke TANG^{#
  *}Equal contribution (co-first authors)
  Code Paper Page
• CCF-A WSDM ‘24 ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
  Qijiong LIU, Nuo CHEN, Tetsuya SAKAI, and Xiao-Ming WU^#
  Code Paper Page
• Under Review Making Multimodal Generation Easier: When Diffusion Models Meet LLMs
  Xiangyu ZHAO, Bo LIU^*, Qijiong LIU^*, Guangyuan SHI^*, and Xiao-Ming WU^{#
  *}Equal contribution (co-second authors)
  Code Paper Page

//:

Recommender System

• Under Review Vector Quantization for Recommender Systems: A Review and Outlook
  Qijiong LIU^*, Xiaoyu DONG^*, Jiaren XIAO, Nuo CHEN, Hengchang HU, Jieming ZHU, Chenxu ZHU, Tetsuya SAKAI, and Xiao-Ming WU^{#
  *}Equal contribution (co-first authors).
  Paper Page
• CCF-A TheWebConf ‘24 Semantic Tokenization for Deep CTR Prediction
  Qijiong LIU, Hengchang HU, Jiahao WU, Jieming ZHU, Min-Yen KAN^#, Xiao-Ming WU^#
  Code Paper Page
• CCF-A TheWebConf ‘24 Benchmarking News Recommendation in the Era of Green AI
  Qijiong LIU^*, Jieming ZHU^*, Quanyu DAI, Xiao-Ming WU^{#
  *}Equal contribution (co-first authors).
  Code Paper Page
• CCF-A TheWebConf ‘24 Learning Category Trees for ID-Based Recommendation: Exploring the Power of Differentiable Vector Quantization
  Qijiong LIU, Lu FAN^*, Jiaren XIAO^*, Jieming ZHU, and Xiao-Ming WU^{#
  *}Equal contribution (co-second authors).
  Code Paper Page
• CCF-C ECIR ‘24 Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision
  Hengchang HU, Qijiong LIU, Chuang LI, Min-Yen KAN^#
  Code Paper Page
• CCF-A TheWebConf ‘23 FANS: Fast Non-Autoregressive Sequence Generation for Item List Continuation
  Qijiong LIU, Jieming ZHU, Jiahao WU, Tiandeng WU, Zhenhua DONG, and Xiao-Ming WU^#
  Code Paper Page
• CCF-B COLING ‘22 Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation
  Qijiong LIU, Jieming ZHU, Quanyu DAI, Xiao-Ming WU^#
  Code Paper Page

Natural Language Processing

• CCF-A AAAI ‘23 Continual Graph Convolutional Network for Text Classification
  Tiandeng WU^*, Qijiong LIU^*, Yao HUANG, Yi CAO, Xiao-Ming WU^#, and Jiandong DING^{#
  *}Equal contribution (co-first authors). Author ordering determined by dice rolling.
  Code Paper Page
• CCF-A IJCAI ‘19 Weak Supervision Enhanced Generative Network for Question Generation
  Yutong WANG, Jiyuan ZHENG, Qijiong LIU, Zhou ZHAO^#, Jun XIAO, Yueting ZHUANG
  Paper Page

Selected Award and Honor

• 2024. Invited Reviewers for Top-tier Conferences and Journals
• 2024. ACM Member
• 2023. ACM SIGIR Member
• 2023. PolyU Research Student Attachment Program (RSAP)
• 2023. ACM Member
• 2023. AAAI Student Scholarship
• 2022. Huawei Brave Star Internship Program
• 2021. PolyU Research Postgraduate Scholarship
• 2021. Outstanding Graduate of Zhejiang University
• 2020. Huawei Brave Star Internship Program
• 2018. Outstanding Graduate of Zhejiang University
• 2018. Outstanding Engineer Scholarship of Zhejiang University
• 2017. Cisco International Internship Program (CIIP)
• 2017. Alibaba New Media Scholarship
• 2016. Student of He Zhijun Class, Zhejiang University

Teaching Experience

• 2023. Teaching Assistant, The Hong Kong Polytechnic University
  • Course: COMP4121: E-Commerce Technology and Application
  • Instructor: Prof. Chun Bun Henry CHAN
• 2022. Teaching Assistant, The Hong Kong Polytechnic University
  • Course: COMP5523: Computer Vision and Image Processing
  • Instructor: Prof. Xiao-Ming WU
• 2022. Teaching Assistant, The Hong Kong Polytechnic University
  • Course: COMP5434: Big Data Computing
  • Instructor: Prof. Jieming SHI
• 2021. Teaching Assistant, The Hong Kong Polytechnic University
  • Course: COMP2011: Data Structures and Algorithms
  • Instructor: Prof. Yixin CAO
• 2017. Teaching Assistant, Zhejiang University
  • Course: Secure Programming
  • Instructor: Prof. Tianlei HU

Selected Side Projects

MasterWhole | 2020

WeChat Official Account as a toolbox terminal, integrated with Toolbox project and theVideoOfChina project.

• Framework: Django
• Fancy tools:
  • Exchange Rate Monitor. Monitor the exchange rate changes (based on data from BANK OF CHINA) and send the notification.
  • Video Downloader. Download the video from popular websites, such as Xin Pianchang, Douyin.
• Open Source: Code

QiqiX (奇奇十号 Qíqí Shíhào in Chinese) | 2020

Article comment mini program for WeChat Official Account, imitating the native WeChat interface.

• Framework: Wechat Mini Program (WXML, WXSS, JavaScript)
• Open Source: Code, Documentation (Chinese)

RusticCasket (浑天匣 Húntiān Xiá in Chinese) | 2017

Personal webdisk. The bachelor graduation project version uses ISTIO as the microservice architecture design.

• Framework: Django, Angular, ISTIO
• Unique Features:
  • Resource Sharing. Users can share resources (files or folders) by generating a link.
  • Resource Description. Users can add markdown-style descriptions to resources.
  • Resource Cover. Users can add covers to resources based on a resource inheritance system.
• Open Source: Backend, Frontend, and Website (Chinese)

More Projects...

Open Source Packages

Kubeflow (as a contributor) | 2018

Kubeflow is a machine learning toolkit for Kubernetes. It provides a set of tools to help data scientists and developers run machine learning workflows on Kubernetes.
Pull Requests: tf-serving support model on NFS, website

UniTok | 2021

A unified tokenizer tool for deep learning dataset tokenization. It supports tokenization of textual content, entity content, and customized format such as datetime.

• Open Source: Code and Documentation

SmartDjango | 2019

A high-level packed development framework based on Django, supported by smartify and Oba projects. It is currently used in all my django-based projects.

• Features:
  • Field Validation. Support for automatic field validation, such as maximum and minimum length in models.CharField and other custom rules.
  • Powerful Request Validation. Support for complex request parameter validation and processing.
  • Smart Model. Support for model-to-dict conversion and list pagination.
  • Default Json Response. Adding one line in settings.py can automatically convert the response to json format.
• Open Source: Code and Documentation

lEmoji | 2020

A versioned emoji character detection tool based on Unicode Emoji Standard and can be manually updated. For now (January 2023), the official package supports emoji detection from v1.0 to v15.0.

• Usage:

  from lEmoji import EMOJI_LIST_1_0, EMOJI_LIST  # EMOJI_LIST is the latest version
    
  print('👨‍👩‍👧‍👦' in EMOJI_LIST_1_0)  # False
  print('👨‍👩‍👧‍👦' in EMOJI_LIST)  # True

• Open Source: Code and Documentation

smartdict | 2022

A smart dictionary tool that supports the reference of values in the dictionary by key, index, and slice.

• Usage:

  import smartdict
  
  data = dict(a=['hello', 'world'], b="${a}$", c="${b.0} python")
  data = smartdict.parse(data)
  
  print(data['b'])  # ['hello', 'world']
  print(data['c'])  # hello python

• Open Source: Code and Documentation

Acknowledgements

Academic Advisers

• Ms. Xiao-Ming WU (吴晓明)
• Mr. Jieming ZHU (朱杰明)
• Mr. Zhou ZHAO (赵洲)

Family

• Mr. Ziyang LIU and Ms. Huiqin XU
• Ms. Yanping CHEN
• Mr. Jiyi CHEN and Ms. Dongmei TAO
• Mr. Xinqi XU, Mr. Xiangshui LIU, Ms. Jixian SHAO, and Ms. Zhuqiu SHAO

Academic Tools

• PyTorch
• HuggingFace with transformers

Developing Tools

• JetBrains with PyCharm and WebStorm
• GitHub with GitHub Student Developer Pack
• Python with PyPI
• Hexo