A knowledge-based differential covariance matrix adaptation cooperative algorithm. - Yang Zuo; Fuqing Zhao; Zekai Li (Expert Syst. Appl., 2021)

PowerDis: Fine-Grained Power Monitoring Through Power Disaggregation Model. - Xinxin Qi; Juan Chen 001; Rongyu Deng; Zekai Li; Lin Deng; Yuan Yuan 034; Yonggang Che (ICA3PP (4), 2023)

Self-Adaptive Reasoning on Sub-Questions for Multi-Hop Question Answering. - Zekai Li; Wei Peng (ICASSP, 2023)

Geometric Encoding-Based Attention Mechanism for Point Cloud Registration Network. - Xuheng Liu; Zhengyao Bai; Jiajin Du; Yihan Zhang; Zekai Li (ICIG (3), 2023)

HighRPM: Combining Integrated Measurement and Sofware Power Modeling for High-Resolution Power Monitoring. - Xinxin Qi; Juan Chen 001; Yong Dong; Yuan Yuan 034; Tao Xu; Rongyu Deng; Zekai Li; Kexing Zhou; Zheng Wang 001 (ICPP, 2023)

Research on obstacle avoidance of robotic manipulators based on Ddpg and Transfer Learning. - Shuhuan Wen; Wen Long Zhen; Tao Wang; Jianhua Chen; Hak-Keung Lam; Qian Shi 003; Zekai Li (Int. J. Robotics Autom., 2023)

Processor power forecasting through model sample analysis and clustering. - Kexing Zhou; Yong Dong; Juan Chen 001; Yuhan Cao; Zekai Li; Rongyu Deng; Yifei Guo; Zhixin Ou (CCF Trans. High Perform. Comput., 2023)

A Logic of East and West for Intervals (Short Paper). - Zekai Li; Amin Farjudian; Heshan Du (COSIT, 2024)

Evaluation of Automatic Segmentation Tools on Low-Dose and Ultra-Low-Dose CT Images in PET/CT Scans. - Samaneh Mostafapour; Mazarine Van der Galiën; Joyce Van Sluis; Adrienne H. Brouwers; Zekai Li; Adriaan A. Lammertsma; Charalampos Tsoumpas (EUVIP, 2024)

Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. - Haoran Zhang; Zekai Li; Zejun Gong; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (ICDCS, 2024)

OAVS: Efficient Online Learning of Streaming Policies for Drone-sourced Live Video Analytics. - Zekai Li; Miao Zhang 003; Yifei Zhu 001 (IWQoS, 2024)

Contour-induced parallel graph reasoning for liver tumor segmentation. - Yilin You; Zhengyao Bai; Yihan Zhang; Zekai Li (Biomed. Signal Process. Control., 2024)

ISQA: Informative Factuality Feedback for Scientific Summarization. - Zekai Li; Yanxia Qin; Qian Liu 012; Min-Yen Kan (CoRR, 2024)

Prioritize Alignment in Dataset Distillation. - Zekai Li; Ziyao Guo; Wangbo Zhao; Tianle Zhang; Zhi-Qi Cheng; Samir Khaki; Kaipeng Zhang; Ahmad Sajedi; Konstantinos N. Plataniotis; Kai Wang 036; Yang You 001 (CoRR, 2024)

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing. - Zekai Li; Jintu Zheng; Ji Liu; Han Liu 011; Haowei Zhu; Zeping Li; Fuwei Yang; Haiduo Huang; Jinzhang Peng; Dong Li 025; Lu Tian; Emad Barsoum (CoRR, 2024)

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training. - Mingjia Shi; Yuhao Zhou; Ruiji Yu; Zekai Li; Zhiyuan Liang; Xuanlei Zhao; Xiaojiang Peng; Tanmay Rajpurohit; Shanmukha Ramakrishna Vedantam; Wangbo Zhao; Kai Wang 036; Yang You 001 (CoRR, 2024)

Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. - Kai Wang 036; Zekai Li; Zhi-Qi Cheng; Samir Khaki; Ahmad Sajedi; Ramakrishna Vedantam; Konstantinos N. Plataniotis; Alexander Hauptmann 001; Yang You 001 (CVPR, 2025)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. - Kai Wang 036; Mingjia Shi; Yukun Zhou; Zekai Li; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Hanwang Zhang; Yang You 001 (CVPR, 2025)

From Ahead-of- to Just-in-Time and Back Again: Static Analysis for Unix Shell Programs. - Lukas Lazarek; Seong-Heon Jung; Evangelos Lamprou; Zekai Li; Anirudh Narsipur; Eric Zhao 006; Michael Greenberg 002; Konstantinos Kallas; Konstantinos Mamouras; Nikos Vasilakis (HotOS, 2025)

Dynamic Vision Mamba. - Mengxuan Wu; Zekai Li; Zhiyuan Liang; Moyang Li; Xuanlei Zhao; Samir Khaki; Zheng Zhu; Xiaojiang Peng; Konstantinos N. Plataniotis; Kai Wang 036; Wangbo Zhao; Yang You 001 (CoRR, 2025)

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning. - Haoran Zhang; Zejun Gong; Zekai Li; Marie Siew; Carlee Joe-Wong; Rachid El Azouzi (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training. - Ziqiao Wang; Wangbo Zhao; Yuhao Zhou; Zekai Li; Zhiyuan Liang; Mingjia Shi; Xuanlei Zhao; Pengfei Zhou; Kaipeng Zhang; Zhangyang Wang; Kai Wang 036; Yang You 001 (CoRR, 2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. - Zhiyuan Liang; Dongwen Tang; Yuhao Zhou; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You 001; et al. (CoRR, 2025)

Neural-Driven Image Editing. - Pengfei Zhou; Jie Xia; Xiaopeng Peng 001; Wangbo Zhao; Zilong Ye; Zekai Li; Suorong Yang; Jiadong Pan; Yuanxiang Chen; Ziqiao Wang; Kai Wang 036; Qian Zheng; et al. (CoRR, 2025)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams. - Pengfei Zhou; Xiaopeng Peng 001; Fanrui Zhang; Zhaopan Xu; Jiaxin Ai; Yansheng Qiu; Chuanhao Li 001; Zhen Li 026; Ming Li; Yukang Feng; Jianwen Sun; Haoquan Zhang; et al. (CoRR, 2025)