Duo Wu
(吴铎)
ABOUT
Hi! I am currently a Ph.D. student at Tsinghua University, advised by Prof. Zhi Wang. Before that, I obtained my M.Phil. degree in Computer and Information Engineering from The Chinese University of Hong Kong, Shenzhen in 2024, advised by Prof. Fangxin Wang, and B.Eng. degree in Computer Science and Technology from Jinan University in 2022, advised by Prof. Lin Cui.
RECENT NEWS
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[2024/12] Our paper on LLM collaborated fine-tuning was accepted by AAAI 2025.
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[2024/11] I earned the Presidential Outstanding Graduate Student Award at CUHKSZ.
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[2024/10] Our paper MANSY was accepted by IEEE Transactions on Mobile Computing.
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[2024/08] Our paper NetLLM was accepted by ACM SIGCOMM 2024.
RESEARCH INTERESTS
I used to work on designing high-performance video streaming systems with cutting-edge machine learning techniques, such as reinforcement learning, imitation learning and representation learning.
Embracing the new opportunities and challenges of large language models (LLMs), I am now more focused on designing algorithms to efficiently harness the capabilities of LLMs to solve fundamental decision-making and planning problems to benefit various domains, which I call Decision LLM.
[Recruiting] We are seeking cooperators (Ph.D., master, undergraduate students) to work on Decision LLM😊! Please check out our webpage for details. If you are interested in working with us, feel free to contact me or Zhi Wang🤗!
PUBLICATION
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CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
Under Review preprint codes are coming
Duo Wu, Jinghe Wang, Yuan Meng, Yanning Zhang, Le Sun, Zhi Wang.
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NetLLM: Adapting Large Language Models for Networking
Accepted by ACM SIGCOMM, 2024 [CCF-A, Acceptance Ratio: 62 / 366 = 16.9%] paper code slides
Duo Wu, Xianda Wang, Yaqi Qiao, Zhi Wang, Junchen Jiang, Shuguang Cui, Fangxin Wang.
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Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning
Accepted by AAAI, 2025 [CCF-A] paper (comming)
Xianda Wang*, Yaqi Qiao*, Duo Wu*, Chenrui Wu, Fangxin Wang. (*Contribute Equally)
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MANSY: Generalizing Neural Adaptive Immersive Video Streaming With Ensemble and Representation Learning
Accepted by IEEE Transactions on Mobile Computing (TMC), 2024 [CCF-A] paper code
Duo Wu, Panlong Wu, Miao Zhang, Fangxin Wang.
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ILCAS: Imitation Learning-Based Configuration-Adaptive Streaming for Live Video Analytics with Cross-Camera Collaboration
Accepted by IEEE Transactions on Mobile Computing (TMC), 2023 [CCF-A] paper
Duo Wu, Dayou Zhang, Miao Zhang, Ruoyu Zhang, Fangxin Wang, Shuguang Cui.
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A Comprehensive Survey on Segment Routing Traffic Engineering
Accepted by Digital Communications and Networks (DCN), 2022 [JCR-Q1] paper
Duo Wu, Lin Cui.
EXPERIENCE
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Future Network of Intelligence Institute at CUHKSZ
Research Assistant, from Sep. 2022 to April 2024.
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Huawei Technologies Co., Ltd. at Dongguan
Software Engineer Intern, from July. 2021 to Sep. 2021.
AWARD
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Presidential Award for Outstanding Graduate Students, CUHKSZ, 2024
Only 10 awardee out of 1500+ postgraduate students in CUHKSZ
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Academic Star Nomination, JNU, 2021
Only 23 awardee in JNU
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University Scholarship of Innovative and Talented Undergraduate, JNU, 2021
10000 RMB, only 30 awardee in JNU
SERVICES
Reviewer
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IEEE Transactions on Mobile Computing
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IEEE Transactions on Network and Service Management
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AAAI 2025
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NeurIPS 2024
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ACM Multimedia 2023
Teaching Assistant
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64100033-200 Big Data System (B), 2024 Fall.
TALK
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NetLLM: Adapting Large Language Models for Networking
SIGCOMM, Sydney, Australia, Aug. 6th, 2024.
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Adapting Large Language Models for Networking
The University of Göttingen, Göttingen, Germany, Virtual, Sept. 23rd, 2024. -
NetLLM: Adapting Large Language Models for Networking recording
AI TIME Youth Talk, Virtual, Oct. 30th, 2024.
CONTACT
Name: Duo Wu (吴铎)
Address: Information Building Tsinghua Campus, University Town of Shenzhen, P. R. China
E-mail: wu-d24@mails.tsinghua.edu.cn / duowu18@outlook.com