Cao, Lei

12 publications

ICLR 2026 KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Om Chabra, Sivaprasad Sudhir, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Mike Cafarella, Lei Cao, Samuel Madden, Tim Kraska

ICLR 2026 Not All Documents Are What You Need for Extracting Instruction Tuning Data Chi Zhang, Huaping Zhong, Hongtao Li, Chengliang Chai, Hongjiawei, Yu-Ping Wang, Yuhao Deng, Jiacheng Wang, Yizhou Yan, Qiu Jiantao, Conghui He, Lei Cao

IJCAI 2025 DGraFormer: Dynamic Graph Learning Guided Multi-Scale Transformer for Multivariate Time Series Forecasting Han Yan, Dongliang Chen, Guiyuan Jiang, Bin Wang, Lei Cao, Junyu Dong, Yanwei Yu

NeurIPS 2025 Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Han Han, Ye Yuan, Guoren Wang, Lei Cao

ICLR 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Qiu Jiantao, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

NeurIPS 2025 Projection-Manifold Regularized Latent Diffusion for Robust General Image Fusion Lei Cao, Hao Zhang, Chunyu Li, Jiayi Ma

NeurIPS 2024 Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework Based on Text-Modulated Diffusion Model Hao Zhang, Lei Cao, Jaiyi Ma

NeurIPSW 2022 Generic Entity Resolution Models Jiawei Tang, Yifei Zuo, Lei Cao, Samuel Madden

NeurIPSW 2022 RoTaR: Efficient Row-Based Table Representation Learning via Teacher-Student Training (Short Paper) Zui Chen, Lei Cao, Samuel Madden

AAAI 2019 Deep Reinforcement Learning via Past-Success Directed Exploration Xiaoming Liu, Zhixiong Xu, Lei Cao, Xiliang Chen, Kai Kang

CVPRW 2017 NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jaejun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo

ECML-PKDD 2017 Pivot-Based Distributed K-Nearest Neighbor Mining Caitlin Kuhlman, Yizhou Yan, Lei Cao, Elke A. Rundensteiner