Greetings!
Zilin Xiao is a first-year CS PhD student in
VisLang lab at
Rice University, fortunately advised by
Prof. Vicente Ordonez.
His recent research interests lie in:
- Knowledge Grounding across Different Modalities (text-to-entity, multimodal-to-multimodal, image-to-image, etc.)
- Foundation Models for Information Retrieval
- Internal Mechanisms of Modern Language Models (linear models, long context, memory, KV Cache, etc.)
[GitHub]
[Personal Email]
[Calendly Schudule]
Tips: Enquiries relating to personal projects are preferred to be discussed at the issue topic of the specific repository or via emails. Other methods of contacting me (QQ, Wechat, etc.) ARE NOT welcomed unless advised.
[2024.07] ReHEAT is accepted to COLM'24. We explore the connection between language models and a famous psychological cognitive trap called representativeness heuristic.
[2024.07] AutoVER is accepted to ECCV'24. We augment modern multi-modal language model with precise entity retrieval ability w/ guided generation.
[2024.05] Zilin joined Tencent AI Lab Seattle as a research intern.
[2023.10] Two first-authored papers are accepted to EMNLP'23 (InsGENEL for Main and
CoherentED for Findings).
[2023.08] Zilin is now a first-year PhD student at Rice.
[2022.08] Zilin joined Deep Ivy as a part-time MLE. Join
us in building a unified machine learning framework!
[2022.08] Zilin joined EdgeML Team @ Microsoft as a gap-year research intern.
Rice University
Ph.D. in Computer Science with
Prof. Vicente Ordóñez Román
Aug 2023 - Present
Sichuan University
B.Eng. in Computer Science with
Prof. Yanan Sun
Sep 2018 - Jun 2022
Tencent AI Lab Seattle
Research Internship with
Dr. Hongming Zhang, May. 2024 - Aug. 2024
Focus on efficient decoding for large language models.
Microsoft
Residency Research Internship with
Dr. Ming Gong
and
Linjun Shou, Aug. 2022 - Jun. 2023
Focus on knowledge-aware and topic-driven entity linking with retrieval-augmented
language models.
Deep Ivy Inc.
Part-time Machine Learning Engineer with
Daniel Lenton, Aug. 2022 - Nov. 2022
Develop tensor and gradient conversion modules for
Ivy among different ML Frameworks.
MEGVII Research
Research Internship with
Prof. Shuaicheng Liu, Mar. 2021 - Jul. 2021
Focus on unsupervised image alignment and 3D vision.
Machine Intelligence Lab, Sichuan University
Research Assistant with
Prof. Yanan Sun, Jun. 2020 - Jun. 2022
Focus on evolutionary neural architecture search and its related applications on
computer vision.
National Scholarship
Top 0.2% nationwide, 2019
National Scholarship
Top 0.2% nationwide, 2020
Outstanding Undergraduate Thesis of Sichuan University
2022.06
Star of Computer Science, Sichuan University
2022.06
Reviewer: EMNLP 2023, ACL ARR 2024, ACL 2024 Workshop KnowledgeNLP, NeurIPS 2024
Teaching Assistant: 2024 Spring COMP 646 - Deep Learning for Vision and Language
Guest Lecture: What could be the Next Generation of LLMs?
Hobbies (Click to Expand)
Blockchain: I believe blockchain-driven technologies will eventually change the order of global
finance. Fans of Solidity Programming, Cryptocurrencies and DeFi.
Trading: Observing the market and making profits.
Law: Law trains people to think logically. Knowledge of the Criminal Laws in Mainland China.
Flight Simulator: Enjoy Airbus A320-neo on Microsoft Flight Simulator!
