Li, Jingyuan

9 publications

IJCAI 2025 DiffusionIMU: Diffusion-Based Inertial Navigation with Iterative Motion Refinement Xiaoqiang Teng, Chenyang Li, Shibiao Xu, Zhihao Hao, Deke Guo, Jingyuan Li, Haisheng Li, Weiliang Meng, Xiaopeng Zhang

CVPR 2025 Learning Endogenous Attention for Incremental Object Detection Xiang Song, Yuhang He, Jingyuan Li, Qiang Wang, Yihong Gong

NeurIPS 2025 SAVVY: Spatial Awareness via Audio-Visual LLMs Through Seeing and Hearing Mingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang, Caleb Zheng, Jingyuan Li, Eli Shlizerman

NeurIPS 2025 SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L Orsborn, Uygar Sümbül, Eli Shlizerman

CVPRW 2024 Co-Designing a Sub-Millisecond Latency Event-Based Eye Tracking System with Submanifold Sparse CNN Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So

CVPRW 2024 Event-Based Eye Tracking. AIS 2024 Challenge Survey Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai

NeurIPS 2023 AMAG: Additive, Multiplicative and Adaptive Graph Neural Network for Forecasting Neuron Activity Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy Orsborn, Eli Shlizerman

IJCAI 2019 MUSICAL: Multi-Scale Image Contextual Attention Learning for Inpainting Ning Wang, Jingyuan Li, Lefei Zhang, Bo Du

AAAI 2014 LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs Dawei Liu, Yuanzhuo Wang, Yantao Jia, Jingyuan Li, Zhihua Yu