The Bayesian lasso for genome-wide association studies. - Jiahan Li; Kiranmoy Das; Guifang Fu; Runze Li 001; Rongling Wu (Bioinform., 2011)

Demand Learning and Dynamic Pricing under Competition in a State-Space Framework. - Byung Do Chung; Jiahan Li; Tao Yao; Changhyun Kwon 001; Terry L. Friesz (IEEE Trans. Engineering Management, 2012)

A dynamic framework for quantifying the genetic architecture of phenotypic plasticity. - Zhong Wang 001; Xiaoming Pang; Yafei Lv; Fang Xu; Tao Zhou; Xin Li 025; Sisi Feng; Jiahan Li; Zhikang Li; Rongling Wu (Briefings Bioinform., 2013)

Forward LASSO analysis for high-order interactions in genome-wide association study. - Huijiang Gao; Yang Wu 004; Jiahan Li; Hongwang Li; Junya Li; Runqing Yang (Briefings Bioinform., 2014)

A model-free approach for detecting interactions in genetic association studies. - Jiahan Li; Jun Dan; Chunlei Li 006; Rongling Wu (Briefings Bioinform., 2014)

The risks assessment via a regional approach using multivariate regional frequency clustering method. - Qiang Huang; Jiahan Li; Jingsi Gao (Clust. Comput., 2017)

Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor. - Disi Chen; Gongfa Li; Ying Sun 004; Guozhang Jiang; Jianyi Kong; Jiahan Li; Honghai Liu 001 (Int. J. Wirel. Mob. Comput., 2017)

Towards Active Muscle Pattern Analysis for Dynamic Hand Motions via sEMG. - Jiahan Li; Yinfeng Fang; Yongan Huang; Gongfa Li; Zhaojie Ju; Honghai Liu 001 (UKCI, 2018)

A novel feature extraction method for machine learning based on surface electromyography from healthy brain. - Gongfa Li; Jiahan Li; Zhaojie Ju; Ying Sun 004; Jianyi Kong (Neural Comput. Appl., 2019)

HiGwas: how to compute longitudinal GWAS data in population designs. - Zhong Wang 001; Nating Wang; Zilu Wang; Libo Jiang; Yaqun Wang; Jiahan Li; Rongling Wu; Janet Kelso (Bioinform., 2020)

Visualization of activated muscle area based on sEMG. - Yangwei Cheng; Gongfa Li; Jiahan Li; Ying Sun 004; Guozhang Jiang; Fei Zeng; Haoyi Zhao; Disi Chen (J. Intell. Fuzzy Syst., 2020)

Multi-object intergroup gesture recognition combined with fusion feature and KNN algorithm. - Shangchun Liao; Gongfa Li; Jiahan Li; Du Jiang; Guozhang Jiang; Ying Sun 004; Bo Tao; Haoyi Zhao; Disi Chen (J. Intell. Fuzzy Syst., 2020)

Activity guided multi-scales collaboration based on scaled-CNN for saliency prediction. - Deqiang Cheng; Ruihang Liu; Jiahan Li; Song Liang; Qiqi Kou; Kai Zhao (Image Vis. Comput., 2021)

Unsupervised Person Re-Identification Based on Measurement Axis. - Jiahan Li; Deqiang Cheng; Ruihang Liu; Qiqi Kou; Kai Zhao (IEEE Signal Process. Lett., 2021)

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. - Shitong Luo; Jiahan Li; Jiaqi Guan; Yufeng Su; Chaoran Cheng; Jian Peng 001; Jianzhu Ma (CVPR, 2022)

Proximal Exploration for Model-guided Protein Sequence Design. - Zhizhou Ren; Jiahan Li; Fan Ding; Yuan Zhou 007; Jianzhu Ma; Jian Peng 001 (ICML, 2022)

Directed Weight Neural Networks for Protein Structure Representation Learning. - Jiahan Li; Shitong Luo; Congyue Deng; Chaoran Cheng; Jiaqi Guan; Leonidas J. Guibas; Jian Peng 001; Jianzhu Ma (CoRR, 2022)

H-net: Unsupervised domain adaptation person re-identification network based on hierarchy. - Deqiang Cheng; Jiahan Li; Qiqi Kou; Kai Zhao; Ruihang Liu (Image Vis. Comput., 2022)

Unsupervised Domain Adaptation on Person Re-Identification via Dual-level Asymmetric Mutual Learning. - Qiong Wu 012; Jiahan Li; Pingyang Dai; Qixiang Ye; Liujuan Cao; Yongjian Wu 001; Rongrong Ji (CoRR, 2023)

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning. - Jiahan Li; Jiuyang Dong; Shenjin Huang; Xi Li; Junjun Jiang; Xiaopeng Fan; Yongbing Zhang 002 (CVPR, 2024)

Is Ego Status All You Need for Open-Loop End-to-End Autonomous Driving? - Zhiqi Li; Zhiding Yu; Shiyi Lan; Jiahan Li; Jan Kautz; Tong Lu; José M. Álvarez 004 (CVPR, 2024)

Full-Atom Peptide Design based on Multi-modal Flow Matching. - Jiahan Li; Chaoran Cheng; Zuofan Wu; Ruihan Guo; Shitong Luo; Zhizhou Ren; Jian Peng 001; Jianzhu Ma (ICML, 2024)

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. - Ruidong Wu; Ruihan Guo; Rui Wang; Shitong Luo; Yue Xu; Jiahan Li; Jianzhu Ma; Qiang Liu 001; Yunan Luo; Jian Peng 001 (ICML, 2024)

Categorical Flow Matching on Statistical Manifolds. - Chaoran Cheng; Jiahan Li; Jian Peng 001; Ge Liu (NeurIPS, 2024)

Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework. - Ruihan Guo; Rui Wang; Ruidong Wu; Zhizhou Ren; Jiahan Li; Shitong Luo; Zuofan Wu; Qiang Liu 001; Jian Peng 001; Jianzhu Ma (NeurIPS, 2024)

Geometric Point Attention Transformer for 3D Shape Reassembly. - Jiahan Li; Chaoran Cheng; Jianzhu Ma; Ge Liu (CoRR, 2024)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. - Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang 001; Ge Liu; Jian Peng 001; Jianzhu Ma (CoRR, 2024)

Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024. - Jiahan Li; Zhiqi Li; Tong Lu (CoRR, 2024)

A Multiharmonic Sources Localization Algorithm Based on ICA and Posterior Harmonic Admittance. - Qin Shu; Haojie Wang; Chang Wang 007; Jiahan Li (IEEE Trans. Instrum. Meas., 2024)

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning. - Jiuyang Dong; Junjun Jiang; Kui Jiang; Jiahan Li; Yongbing Zhang 002 (CVPR, 2025)

Group Ligands Docking to Protein Pockets. - Jiaqi Guan; Jiahan Li; Xiangxin Zhou; Xingang Peng; Sheng Wang 001; Yunan Luo; Jian Peng 001; Jianzhu Ma (ICLR, 2025)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. - Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang; Ge Liu; Jian Peng; Jianzhu Ma (ICLR, 2025)

Orientation-Aware Networks for Protein Structure Representation Learning. - Jiahan Li; Shitong Luo; Congyue Deng; Chaoran Cheng; Jiaqi Guan; Leonidas J. Guibas; Jian Peng 001; Jianzhu Ma (RECOMB, 2025)

Estimating vegetation aboveground biomass in Yellow River Delta coastal wetlands using Sentinel-1, Sentinel-2 and Landsat-8 imagery. - Yiming Xu; Yunmeng Qin; Bin Li; Jiahan Li (Ecol. Informatics, 2025)

Unsupervised Domain Adaptation on Person Reidentification Via Dual-Level Asymmetric Mutual Learning. - Qiong Wu 012; Jiahan Li; Pingyang Dai; Qixiang Ye; Liujuan Cao; Yongjian Wu 001; Rongrong Ji (IEEE Trans. Neural Networks Learn. Syst., 2025)

α-Flow: A Unified Framework for Continuous-State Discrete Flow Matching Models. - Chaoran Cheng; Jiahan Li; Jiajun Fan; Ge Liu (CoRR, 2025)

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling. - Xiangxin Zhou; Mingyu Li; Yi Xiao; Jiahan Li; Dongyu Xue; Zaixiang Zheng; Jianzhu Ma; Quanquan Gu (CoRR, 2025)

AHDMIL: Asymmetric Hierarchical Distillation Multi-Instance Learning for Fast and Accurate Whole-Slide Image Classification. - Jiuyang Dong; Jiahan Li; Junjun Jiang; Kui Jiang; Yongbing Zhang 002 (CoRR, 2025)