Rethinking the Setting of Semi-supervised Learning on Graphs. - Ziang Li; Ming Ding 004; Weikai Li 002; Zihan Wang; Ziyu Zeng; Yukuo Cen; Jie Tang 001 (IJCAI, 2022)

When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks. - Hao Peng 015; Xiaozhi Wang; Jianhui Chen; Weikai Li 002; Yunjia Qi; Zimu Wang; Zhili Wu; Kaisheng Zeng; Bin Xu 001; Lei Hou 001; Juanzi Li (CoRR, 2023)

Efficient Task Transfer for HLS DSE. - Zijian Ding; Atefeh Sohrabizadeh; Weikai Li 002; Zongyue Qin; Yizhou Sun; Jason Cong (ICCAD, 2024)

KoLA: Carefully Benchmarking World Knowledge of Large Language Models. - Jifan Yu; Xiaozhi Wang; Shangqing Tu; Shulin Cao; Daniel Zhang-Li; Xin Lv; Hao Peng 015; Zijun Yao 002; Xiaohan Zhang; Hanming Li; Chunyang Li; Zheyuan Zhang; et al. (ICLR, 2024)

Learning to Compare Hardware Designs for High-Level Synthesis. - Yunsheng Bai; Atefeh Sohrabizadeh; Zijian Ding; Rongjian Liang; Weikai Li 002; Ding Wang; Haoxing Ren; Yizhou Sun; Jason Cong (MLCAD, 2024)

Fast Inference of Removal-Based Node Influence. - Weikai Li 002; Zhiping Xiao 001; Xiao Luo 001; Yizhou Sun (WWW, 2024)

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis. - Weikai Li 002; Ding Wang; Zijian Ding; Atefeh Sohrabizadeh; Zongyue Qin; Jason Cong; Yizhou Sun (AAAI, 2025)

How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence. - Hongzhe Du; Weikai Li 002; Min Cai; Karim Saraipour; Zimin Zhang; Himabindu Lakkaraju; Yizhou Sun; Shichang Zhang (CoRR, 2025)

Iceberg: Enhancing HLS Modeling with Synthetic Data. - Zijian Ding; Tung Nguyen; Weikai Li 002; Aditya Grover; Yizhou Sun; Jason Cong (CoRR, 2025)