Weikai Li

20 papers A* 5A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Choosing How to Remember: Adaptive Memory Structures for LLM Agents.
CoRR
Mingfei Lu, Mengjia Wu, Feng Liu, Jiawei Xu, Weikai Li, Haoyang Wang, Zhengdong Hu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 A* conf
From Newborn to Impact: Bias-Aware Citation Prediction.
WWW
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2026 J jnl
Report for NSF Workshop on AI for Electronic Design Automation.
CoRR
Deming Chen, Vijay Ganesh, Weikai Li, Yingyan Celine Lin, Yong Liu, Subhasish Mitra, David Z. Pan, Ruchir Puri, Jason Cong, Yizhou Sun
2025 J jnl
A Multimodal LLM Approach for Visual Question Answering on Multiparametric 3D Brain MRI.
CoRR
Arvind Murari Vepa, Yannan Yu, Jingru Gan, Anthony Cuturrufo, Weikai Li, Wei Wang, Fabien Scalzo, Yizhou Sun
2025 J jnl
From Newborn to Impact: Bias-Aware Citation Prediction.
CoRR
Mingfei Lu, Mengjia Wu, Jiawei Xu, Weikai Li, Feng Liu, Ying Ding, Yizhou Sun, Jie Lu, Yi Zhang
2025 A* conf
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
AAAI
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2025 J jnl
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence.
CoRR
Hongzhe Du, Weikai Li, Min Cai, Karim Saraipour, Zimin Zhang, Himabindu Lakkaraju, Yizhou Sun, Shichang Zhang
2025 J jnl
Iceberg: Enhancing HLS Modeling with Synthetic Data.
CoRR
Zijian Ding, Tung Nguyen, Weikai Li, Aditya Grover, Yizhou Sun, Jason Cong
2024 A conf
Efficient Task Transfer for HLS DSE.
ICCAD
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 J jnl
Efficient Task Transfer for HLS DSE.
CoRR
Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong
2024 A* conf
Fast Inference of Removal-Based Node Influence.
WWW
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 J jnl
Fast Inference of Removal-Based Node Influence.
CoRR
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 J jnl
Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.
CoRR
Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun
2024 A* conf
KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
ICLR
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, Kaifeng Yun, Linlu Gong, Nianyi Lin, 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
2024 — conf
Learning to Compare Hardware Designs for High-Level Synthesis.
MLCAD
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2024 J jnl
Learning to Compare Hardware Designs for High-Level Synthesis.
CoRR
Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Rongjian Liang, Weikai Li, Ding Wang, Haoxing Ren, Yizhou Sun, Jason Cong
2023 J jnl
KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
CoRR
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
2023 J jnl
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks.
CoRR
Hao Peng, Xiaozhi Wang, Jianhui Chen, Weikai Li, Yunjia Qi, Zimu Wang, Zhili Wu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li
2022 A* conf
Rethinking the Setting of Semi-supervised Learning on Graphs.
IJCAI
Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang
2022 J jnl
Rethinking the Setting of Semi-supervised Learning on Graphs.
CoRR
Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, Jie Tang