Scholar
Weikai Li
Google Scholar ID: wmjH0R8AAAAJ
University of California, Los Angeles (UCLA)
Citations & Impact
Citations
239
H-index
5
i10-index
2
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- [{'Paper': 'From Newborn to Impact: Bias-Aware Citation Prediction', 'Authors': 'Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang', 'PublishedIn': 'ArXiv, 2025'}, {'Paper': 'A Multimodal LLM Approach for Visual Question Answering on Multiparametric 3D Brain MRI', 'Authors': 'Arvind Murari Vepa, Yannan Yu, Jingru Gan, Anthony Cuturrufo, Weikai Li, Wei Wang, Fabien Scalzo, Yizhou Sun', 'PublishedIn': 'ArXiv, 2025'}, {'Paper': 'Iceberg: Enhancing HLS Modeling with Synthetic Data', 'Authors': 'Zijian Ding, Tung Nguyen, Weikai Li, Aditya Grover, Yizhou Sun, Jason Cong', 'PublishedIn': 'LAD 2025'}, {'Paper': 'How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence', 'Authors': 'Hongzhe Du, Weikai Li, Min Cai, Karim Saraipour, Zimin Zhang, Himabindu Lakkaraju, Yizhou Sun, Shichang Zhang', 'PublishedIn': 'COLM 2025; Outstanding Paper Award at the New England NLP Workshop 2025'}, {'Paper': 'Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis', 'Authors': 'Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun', 'PublishedIn': 'AAAI 2025'}, {'Paper': 'Learning to Compare Hardware Designs for High-Level Synthesis', 'Authors': 'Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong', 'PublishedIn': 'MLCAD 2024'}, {'Paper': 'Efficient Task Transfer for HLS DSE', 'Authors': 'Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong', 'PublishedIn': 'ICCAD 2024'}, {'Paper': 'Fast Inference of Removal-Based Node Influence', 'Authors': 'Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun', 'PublishedIn': 'WWW 2024'}, {'Paper': 'When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks', 'Authors': 'Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li', 'PublishedIn': 'ArXiv, 2023'}, {'Paper': 'KoLA: Carefully Benchmarking World Knowledge of Large Language Models', 'Authors': 'Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li', 'PublishedIn': 'ICLR 2024'}, {'Paper': 'Rethinking the Setting of Semi-supervised Learning on Graphs', 'Authors': 'Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang', 'PublishedIn': 'IJCAI 2022'}]
Background
- Research interests include AI for chip design, AI models' interpretability, especially Large Language Models (LLMs) and Graph Neural Networks (GNNs). Additionally, has broad research interests in agentic workflow and LLM and GNN models.
Co-authors