Rectifier Load Analysis for Electric Vehicle Wireless Charging System. - Yanjie Guo; Lifang Wang; Yuwang Zhang; Shufan Li; Chenglin Liao (IEEE Trans. Ind. Electron., 2018)

Study on Digital Chromatography of Fahai Temple Frescoes in Ming Dynasty Based on Visualization. - Yali Zhang; Yingqing Xu; Shufan Li; Fangya Deng (DSC, 2019)

Simultaneous Wireless Power and Bidirectional Information Transmission With a Single-Coil, Dual-Resonant Structure. - Li Ji; Lifang Wang; Chenglin Liao; Shufan Li (IEEE Trans. Ind. Electron., 2019)

Active Learning Method Based on Axiomatic Fuzzy Sets and Cost-Sensitive Classification. - Yifei Liu; Jiayi Guo; Shufan Li; Lidong Wang (NCAA, 2021)

Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images. - Jing Wang 050; Kefu Chen; Hanchi Liu; Jiaqi Zhang; Wenqiang Kang; Shufan Li; Peng Jiang 002; Qingmei Sui; Zhengfang Wang (IEEE Access, 2021)

Interpreting Audiograms with Multi-stage Neural Networks. - Shufan Li; Congxi Lu; Linkai Li; Jirong Duan; Xinping Fu; Haoshuai Zhou (CoRR, 2021)

Analysis and design of wireless power transfer system based on inductor-capacitor-capacitor/none magnetic integration compensation circuit. - Zhimeng Liu; Lifang Wang; Chengxuan Tao; Shufan Li; Yanjie Guo; Fang Li (Int. J. Circuit Theory Appl., 2021)

First Arrival Picking on Microseismic Signals Based on K-Means with a ReliefF Algorithm. - Yijia Li; Zhengfang Wang; Jing Wang 050; Qingmei Sui; Shufan Li; Hanpeng Wang; Zhiguo Cao (Symmetry, 2021)

Refine and Represent: Region-to-Object Representation Learning. - Akash Gokul; Konstantinos Kallidromitis; Shufan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell; Colorado J. Reed (CoRR, 2022)

Chart-RCNN: Efficient Line Chart Data Extraction from Camera Images. - Shufan Li; Congxi Lu; Linkai Li; Haoshuai Zhou (CoRR, 2022)

Primary-Side Linear Control for Constant Current/Voltage Charging of the Wireless Power Transfer System Based on the LCC-N Compensation Topology. - Zhimeng Liu; Lifang Wang; Yanjie Guo; Shufan Li (IEEE Trans. Ind. Electron., 2022)

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. - Colorado J. Reed; Ritwik Gupta; Shufan Li; Sarah Brockman; Christopher Funk; Brian Clipp; Kurt Keutzer; Salvatore Candido; Matt Uyttendaele; Trevor Darrell (ICCV, 2023)

Hierarchical Open-vocabulary Universal Image Segmentation. - Xudong Wang 007; Shufan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (NeurIPS, 2023)

InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following. - Shufan Li; Harkanwar Singh; Aditya Grover (CoRR, 2023)

Synchronization of hybrid switching diffusions delayed networks via stochastic event-triggered control. - Hui Zhou; Shufan Li; Chunmei Zhang (Neural Networks, 2023)

Mamba-ND: Selective State Space Modeling for Multi-dimensional Data. - Shufan Li; Harkanwar Singh; Aditya Grover (ECCV (33), 2024)

xT: Nested Tokenization for Larger Context in Large Images. - Ritwik Gupta; Shufan Li; Tyler Zhu; Jitendra Malik; Trevor Darrell; Karttikeya Mangalam (ICML, 2024)

Aligning Diffusion Models by Optimizing Human Utility. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Yusuke Kato; Kazuki Kozuka (NeurIPS, 2024)

PopAlign: Population-Level Alignment for Fair Text-to-Image Generation. - Shufan Li; Harkanwar Singh; Aditya Grover (CoRR, 2024)

SegLLM: Multi-round Reasoning Segmentation. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Konstantinos Kallidromitis; Kehan Li; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (CoRR, 2024)

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory. - Eric Hanchen Jiang; Yasi Zhang; Zhi Zhang 012; Yixin Wan; Andrew Lizarraga; Shufan Li; Ying Nian Wu (CoRR, 2024)

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants. - Hritik Bansal; Daniel Israel; Siyan Zhao; Shufan Li; Tung Nguyen; Aditya Grover (CoRR, 2024)

Intermittent Sampled-Data Stabilization of Highly Nonlinear Delayed Stochastic Networks via Periodic Self-Triggered Strategy. - Hui Zhou 010; Shufan Li; Ju H. Park 001; Wenxue Li (IEEE Trans. Autom. Control., 2024)

Analysis and Implementation of Underwater Single Capacitive Coupled Simultaneous Wireless Power and Bidirectional Data Transfer System. - Chaolai Da; Fang Li; Lifang Wang; Chengxuan Tao; Shufan Li; Ming Nie (IEEE Trans. Ind. Electron., 2024)

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Zichun Liao; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CVPR, 2025)

SegLLM: Multi-round Reasoning Segmentation with Large Language Models. - Xudong Wang 007; Shaolun Zhang; Shufan Li; Kehan Li; Konstantinos Kallidromitis; Yusuke Kato; Kazuki Kozuka; Trevor Darrell (ICLR, 2025)

InstructAny2Pix: Image Editing with Multi-Modal Prompts. - Shufan Li; Harkanwar Singh; Aditya Grover (NAACL (Findings), 2025)

A 1 kW, 76% efficiency underwater single-capacitor coupled WPT system with a 1 m separation distance single-capacitor coupled. - Ming Nie; Chaolai Da; Fang Li; Chengxuan Tao; Shufan Li; Lifang Wang (Int. J. Circuit Theory Appl., 2025)

Sensitive and Rapid Extraction-Free Detection of Furfural in Mineral and Natural Ester Oils by 4-ATP Modified SERS Substrate. - Fu Wan; Yu Lei; Mingliang Wang; Shufan Li; Ruiqi Liu; Yaoyang Xia; Changding Wang; Hongfei Liu; Weigen Chen (IEEE Trans. Instrum. Meas., 2025)

Pulse Synchronization Scheme for Undersea BWPT System Based on Simultaneous Wireless Power and Data Transfer Technology. - Chaolai Da; Fang Li; Lifang Wang; Chengxuan Tao; Shufan Li; Ming Nie (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Channel and misalignment characterization for simultaneous wireless power and data transfer system based on moving average filter. - Chaolai Da; Fang Li; Haiqing Gan; Ming Nie; Lifang Wang; Chengxuan Tao; Shufan Li; Xize Jiao (Int. J. Circuit Theory Appl., 2025)

Reflect-DiT: Inference-Time Scaling for Text-to-Image Diffusion Transformers via In-Context Reflection. - Shufan Li; Konstantinos Kallidromitis; Akash Gokul; Arsh Koneru; Yusuke Kato; Kazuki Kozuka; Aditya Grover (CoRR, 2025)

LaViDa: A Large Diffusion Language Model for Multimodal Understanding. - Shufan Li; Konstantinos Kallidromitis; Hritik Bansal; Akash Gokul; Yusuke Kato; Kazuki Kozuka; Jason Kuen; Zhe Lin; Kai-Wei Chang; Aditya Grover (CoRR, 2025)

PredGen: Accelerated Inference of Large Language Models through Input-Time Speculation for Real-Time Speech Interaction. - Shufan Li; Aditya Grover (CoRR, 2025)

Mercury: Ultra-Fast Language Models Based on Diffusion. - Samar Khanna; Siddhant Kharbanda; Shufan Li; Harshit Varma; Eric Wang; Sawyer Birnbaum; Ziyang Luo; Yanis Miraoui; Akash Palrecha; Stefano Ermon; Aditya Grover; Volodymyr Kuleshov (CoRR, 2025)

PhysiX: A Foundation Model for Physics Simulations. - Tung Nguyen; Arsh Koneru; Shufan Li; Aditya Grover (CoRR, 2025)