Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Swarm Intelligence Optimization of UAV Routing with Simultaneously Stochastic Pick-up and Delivery during COVID-19
Published in International Conference on Cloud Computing and Big Data Analytics (ICCCBDA), 2023
This paper investigates swarm intelligence optimization for UAV routing during COVID-19.
Multimodal Stock Price Forecasting Using Attention Mechanism Based on Multi-Task Learning
Published in Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, 2023
This paper explores multimodal stock price forecasting using attention mechanisms and multi-task learning.
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
Published in Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
This paper discusses fitting black-box large language models for retrieval question answering using a pluggable reward-driven contextual adapter.
Can We Trust LLMs? Mitigate Overconfidence Bias in LLMs through Knowledge Transfer
Published in arXiv preprint arXiv:2405.16856, 2024
This paper discusses mitigating overconfidence bias in large language models through knowledge transfer.
Exploring Performance Contrasts in TableQA: Step-by-Step Reasoning Boosts Bigger Language Models, Limits Smaller Language Models
Published in arXiv preprint arXiv:2411.16002, 2024
This paper proposes the Table-Logic framework to investigate performance contrasts between large and small language models on the TableQA task using step-by-step reasoning methods.
PFID: Privacy First Inference Delegation Framework for LLMs
Published in arXiv preprint arXiv:2406.12238, 2024
This paper presents the PFID framework for privacy-first inference delegation in large language models.
BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports
Published in ACM MM 2024 Workshop MCHM (Oral), 2024
This paper presents BURExtract-Llama, an LLM designed for clinical concept extraction from breast ultrasound reports.
Dynamic Noise Preference Optimization for LLM Self-Improvement via Synthetic Data
Published in Under Review by ICLR 2025, 2024
This paper introduces Dynamic Noise Preference Optimization (DNPO) for self-improvement in large language models via synthetic data.
talks
Talk 1 on Relevant Topic in Your Field
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This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
NYU Langone Health
Remote, March 2024 - Present
Research Assistant (NLP for Healthcare Focused), advised by Professor Artie Shen.
Ping An Technology
Shenzhen, March 2023 - June 2023
Algorithm Engineer Intern (NLP Focused), advised by Senior Algorithm Engineer Zhitao Li.
SF Express
Shanghai, August 2021 - September 2021
Data Analyst Intern
Samsung Research America
Mountain View, May 2024 - August 2024
Researcher Intern (LLMs Focused), advised by Research Scientist Ting Hua and co-advised by Professor Shangqian Gao.
Tongcheng Travel
Suzhou, June 2021 - July 2021
Data Analyst Intern