AutoMix: Unveiling the Power of Mixup. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zhiyuan Chen 008; Lirong Wu; Jianzhu Guo; Stan Z. Li (CoRR, 2021)

Unsupervised Deep Manifold Attributed Graph Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (CoRR, 2021)

Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. - Di Wu 057; Siyuan Li 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2021)

C2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction. - Di Wu 057; Yi Shi; Ziyu Wang; Jie Yang 033; Mohamad Sawan (CoRR, 2021)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (CoRR, 2021)

Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. - Siyuan Li 002; Zicheng Liu 006; Di Wu 057; Zihan Liu; Stan Z. Li (CoRR, 2021)

A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction. - Shiqi Zhao; Di Wu 057; Jie Yang 033; Mohamad Sawan (BioCAS, 2022)

Exploring Localization for Self-supervised Fine-grained Contrastive Learning. - Di Wu 057; Siyuan Li 002; Zelin Zang; Stan Z. Li (BMVC, 2022)

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. - Zicheng Liu 006; Siyuan Li 002; Di Wu 057; Zihan Liu; Zhiyuan Chen 008; Lirong Wu; Stan Z. Li (ECCV (24), 2022)

DLME: Deep Local-Flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (ECCV (21), 2022)

Towards Task-aware Signal Compression for Efficient Continuous Health Monitoring. - Di Wu 057; Jie Yang 033; Mohamad Sawan (ISCAS, 2022)

Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation. - Di Wu 057; Jie Yang 033; Mohamad Sawan (CoRR, 2022)

neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. - Di Wu 057; Siyuan Li 002; Jie Yang 033; Mohamad Sawan (CoRR, 2022)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Kai Wang 036; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2022)

DLME: Deep Local-flatness Manifold Embedding. - Zelin Zang; Siyuan Li 002; Di Wu 057; Ge Wang; Lei Shang; Baigui Sun; Hao Li 030; Stan Z. Li (CoRR, 2022)

OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Di Wu 057; Stan Z. Li (CoRR, 2022)

Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond. - Di Wu 057; Jie Yang 033; Mohamad Sawan (CoRR, 2022)

Efficient Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (CoRR, 2022)

Deep manifold embedding of attributed graphs. - Zelin Zang; Siyuan Li 002; Di Wu 057; Jianzhu Guo; Yongjie Xu; Stan Z. Li (Neurocomputing, 2022)

Task-aware Compression for Wearable Sensor Data. - Di Wu 057; Jie Yang 033; Mohamad Sawan (BioCAS, 2023)

Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. - Siyuan Li 002; Di Wu 057; Fang Wu 002; Zelin Zang; Stan Z. Li (ICML, 2023)

Fusing 2D and 3D molecular graphs as unambiguous molecular descriptors for conformational and chiral stereoisomers. - Wenjie Du 003; Xiaoting Yang; Di Wu 057; Fenfen Ma; Baicheng Zhang; Chaochao Bao; Yaoyuan Huo; Jun Jiang; Xin Chen; Yang Wang 015 (Briefings Bioinform., 2023)

Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression. - Di Wu 057; Shiqi Zhao; Jie Yang 033; Mohamad Sawan (IEEE Trans. Biomed. Circuits Syst., 2023)

XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model. - Liheng Yu; Pengkun Wang 001; Zhe Zhao 008; Zhongchao Yi; Sun Nan; Di Wu 057; Yang Wang 015 (CIKM, 2024)

MogaNet: Multi-order Gated Aggregation Network. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Cheng Tan 012; Haitao Lin; Di Wu 057; Zhiyuan Chen 008; Jiangbin Zheng 002; Stan Z. Li (ICLR, 2024)

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses. - Chuanqing Wang; Di Wu 057; Chaoming Fang; Jie Yang 033; Mohamad Sawan (ICLR, 2024)

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. - Siyuan Li 002; Zedong Wang; Zicheng Liu 006; Di Wu 057; Cheng Tan 012; Jiangbin Zheng 002; Yufei Huang 002; Stan Z. Li (ICML, 2024)

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. - Wenjie Du 003; Shuai Zhang; Di Wu 057; Jun Xia 001; Ziyuan Zhao; Junfeng Fang; Yang Wang 015 (IJCAI, 2024)

Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. - Siyuan Li 002; Luyuan Zhang; Zedong Wang; Di Wu 057; Lirong Wu; Zicheng Liu 006; Jun Xia 001; Cheng Tan 012; Yang Liu 356; Baigui Sun; Stan Z. Li (CoRR, 2024)

Switch EMA: A Free Lunch for Better Flatness and Sharpness. - Siyuan Li 002; Zicheng Liu 006; Juanxi Tian; Ge Wang; Zedong Wang; Weiyang Jin; Di Wu 057; Cheng Tan 012; Tao Lin; Yang Liu 356; Baigui Sun; Stan Z. Li (CoRR, 2024)

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings. - Di Wu 057; Siyuan Li 002; Chen Feng; Lu Cao; Yue Zhang; Jie Yang 033; Mohamad Sawan (ICLR, 2025)

A Resource-Efficient Algorithm-Hardware Co-Design Toward Semi-Supervised Neurological Symptoms Prediction. - Shiqi Zhao; Shanjin Li; Di Wu 057; Fengshi Tian; Jie Yang 033; Mohamad Sawan (IEEE Trans. Instrum. Meas., 2025)

GenURL: A General Framework for Unsupervised Representation Learning. - Siyuan Li 002; Zicheng Liu 006; Zelin Zang; Di Wu 057; Zhiyuan Chen 008; Stan Z. Li (IEEE Trans. Neural Networks Learn. Syst., 2025)

NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis. - Chengkai Wang; Di Wu 057; Yunsheng Liao; Wenyao Zheng; Ziyi Zeng; Xurong Gao; Hemmings Wu; Zhoule Zhu; Jie Yang 033; Lihua Zhong; Weiwei Cheng; Yun-Hsuan Chen; et al. (CoRR, 2025)