A Novel Coupling Algorithm Based on Glowworm Swarm Optimization and Bacterial Foraging Algorithm for Solving Multi-Objective Optimization Problems. - Yechuang Wang; Zhihua Cui; Wuchao Li (Algorithms, 2019)

A novel DV-Hop method based on coupling algorithm used for wireless sensor network localisation. - Yechuang Wang; Penghong Wang; Jiangjiang Zhang; Xingjuan Cai; Wuchao Li; Yanyan Ma (Int. J. Wirel. Mob. Comput., 2019)

A Vision Transformer with Improved LeFF and Vision Combinative Self-attention Mechanism for Waste Image Classification. - Yuxiang Guo; Di Cao; Wuchao Li; Shang Hu; Jiabin Gao; Lixin Huang; Zengrong Ye (ICISCAE (IEEE), 2021)

A DV-Hop dynamic weight positioning model with genetic algorithm. - Penghong Wang; Tian Fan; Xingjuan Cai; Wuchao Li (Int. J. Wirel. Mob. Comput., 2021)

Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network. - Zihao Bo; Hui Qiao; Chong Tian; Yuchen Guo; Wuchao Li; Tiantian Liang; Dongxue Li; Dan Liao; Xianchun Zeng; Leilei Mei; Tianliang Shi; Bo Wu; et al. (Patterns, 2021)

Recommender Forest for Efficient Retrieval. - Chao Feng 008; Wuchao Li; Defu Lian; Zheng Liu 011; Enhong Chen (NeurIPS, 2022)

Learned Index with Dynamic $ epsilon$. - Daoyuan Chen; Wuchao Li; Yaliang Li; Bolin Ding; Kai Zeng 002; Defu Lian; Jingren Zhou 001 (ICLR, 2023)

Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. - Wuchao Li; Chao Feng 008; Defu Lian; Yuxin Xie; Haifeng Liu 004; Yong Ge; Enhong Chen (KDD, 2023)

A radiomics based approach using adrenal gland and periadrenal fat CT images to allocate COVID-19 health care resources fairly. - Mudan Zhang; Xuntao Yin; Wuchao Li; Yan Zha; Xianchun Zeng; Xiaoyong Zhang; Jingjing Cui; Zhong Xue; Rongpin Wang; Chen Liu (BMC Medical Imaging, 2023)

TGMIL: A hybrid multi-instance learning model based on the Transformer and the Graph Attention Network for whole-slide images classification of renal cell carcinoma. - Xinhuan Sun; Wuchao Li; Bangkang Fu; Yunsong Peng; Junjie He; Lihui Wang; Tongyin Yang; Xue Meng; Jin Li; Jinjing Wang; Ping Huang; Rongpin Wang (Comput. Methods Programs Biomed., 2023)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 001; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (CoRR, 2024)

Multicenter evaluation of CT deep radiomics model in predicting Leibovich score risk groups for non-metastatic clear cell renal cell carcinoma. - Wuchao Li; Tongyin Yang; Pinhao Li; Xinfeng Liu; Shasha Zhang; Jianguo Zhu 003; Yuanyuan Pei; Yan Zhang 109; Tijiang Zhang; Rongpin Wang (Displays, 2024)

SaB-Net: Self-attention backward network for gastric tumor segmentation in CT images. - Junjie He; Mudan Zhang; Wuchao Li; Yunsong Peng; Bangkang Fu; Chen Liu 026; Jian Wang 135; Rongpin Wang (Comput. Biol. Medicine, 2024)

Making Transformer Decoders Better Differentiable Indexers. - Wuchao Li; Kai Zheng 001; Defu Lian; Qi Liu 003; Wentian Bao; Yunen Yu; Yang Song 008; Han Li 005; Kun Gai (ICLR, 2025)

RecFlow: An Industrial Full Flow Recommendation Dataset. - Qi Liu 003; Kai Zheng 007; Rui Huang; Wuchao Li; Kuo Cai; Yuan Chai; Yanan Niu; Yiqun Hui; Bing Han; Na Mou; Hongning Wang; Wentian Bao; et al. (ICLR, 2025)

DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. - Wuchao Li; Rui Huang; Haijun Zhao; Chi Liu; Kai Zheng 001; Qi Liu 003; Na Mou; Guorui Zhou; Defu Lian; Yang Song 008; Wentian Bao; Enyun Yu; et al. (WSDM, 2025)

GAMMIL: A graph attention-guided multi-scale fusion multiple instance learning model for the WHO grading of meningioma in whole slide images. - Guilan Tu; Wuchao Li; Yongshun Lin; Zi Xu; Junjie He; Bangkang Fu; Ping Huang; Rongpin Wang; Yunsong Peng (Biomed. Signal Process. Control., 2025)

RPF-Net: A multimodal model for the postoperative UISS risk stratification of non-metastatic ccRCC based on CT and whole-slide images. - Jiahui Mao; Wuchao Li; Xinhuan Sun; Bangkang Fu; Junjie He; Chongzhe Yan; Jianguo Zhu 003; Zhuxue Zhang; Jiahui Mao; Zhangxin Hong; Qi Tang; Zhen Liu; et al. (Comput. Methods Programs Biomed., 2025)

PcPreT-Net: Predicting classification of decline rate in prostate-specific antigen using graph neural network. - Chongzhe Yan; Feng Liu; Ying Cao; Huijuan Tu; Zi Xu; Wuchao Li; Pinhao Li; Zhiyang Xing; Yi Chen; Zhi-Cheng Li; Yuanshen Zhao; Bo Gao; et al. (Displays, 2025)

HGTL: A hypergraph transfer learning framework for survival prediction of ccRCC. - Xiangmin Han; Wuchao Li; Yan Zhang 109; Pinhao Li; Jianguo Zhu 003; Tijiang Zhang; Rongpin Wang; Yue Gao 002 (Medical Image Anal., 2025)

OneRec Technical Report. - Guorui Zhou; Jiaxin Deng; Jinghao Zhang; Kuo Cai; Lejian Ren; Qiang Luo; Qianqian Wang; Qigen Hu; Rui Huang; Shiyao Wang 001; Weifeng Ding; Wuchao Li; et al. (CoRR, 2025)