Di Wu - RankMe

44 papers A* 8A 2C 1Journal 28Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition. AAAI Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang
2026	J	`jnl`	Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining. IEEE J. Biomed. Health Informatics Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan
2026	A*	`conf`	Rethinking Crystal Symmetry Prediction: A Decoupled Perspective. AAAI Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang
2025	J	`jnl`	A Resource-Efficient Algorithm-Hardware Co-Design Toward Semi-Supervised Neurological Symptoms Prediction. IEEE Trans. Instrum. Meas. Shiqi Zhao, Shanjin Li, Di Wu, Fengshi Tian, Jie Yang, Mohamad Sawan
2025	J	`jnl`	CSDformer: A Conversion Method for Fully Spike-Driven Transformer. CoRR Yuhao Zhang, Chengjun Zhang, Di Wu, Jie Yang, Mohamad Sawan
2025	J	`jnl`	GenURL: A General Framework for Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. Siyuan Li, Zicheng Liu, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li
2025	J	`jnl`	IIB-DDI: Invariant Information Bottleneck Theory for Out-of-Distribution Drug-Drug Interaction Prediction. IEEE Trans. Comput. Biol. Bioinform. Jiahui Zhang, Shuai Zhang, Xuqiang Li, Di Wu, Sihan Wang, Limin Li, Wenjie Du, Yang Wang
2025	J	`jnl`	NeuroCLIP: A Multimodal Contrastive Learning Method for rTMS-treated Methamphetamine Addiction Analysis. CoRR Chengkai Wang, Di Wu, Yunsheng Liao, Wenyao Zheng, Ziyi Zeng, Xurong Gao, Hemmings Wu, Zhoule Zhu, Jie Yang, Lihua Zhong, Weiwei Cheng, Yun-Hsuan Chen, Mohamad Sawan
2025	J	`jnl`	Rethinking Crystal Symmetry Prediction: A Decoupled Perspective. CoRR Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang
2025	A*	`conf`	Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings. ICLR Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan
2025	J	`jnl`	Towards Unified Neural Decoding with Brain Functional Network Modeling. CoRR Di Wu, Linghao Bu, Yifei Jia, Lu Cao, Siyuan Li, Siyu Chen, Yueqian Zhou, Sheng Fan, Wenjie Ren, Dengchang Wu, Kang Wang, Yue Zhang, Yuehui Ma, Jie Yang, Mohamad Sawan
2024	A*	`conf`	Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses. ICLR Chuanqing Wang, Di Wu, Chaoming Fang, Jie Yang, Mohamad Sawan
2024	A*	`conf`	MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction. IJCAI Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang
2024	J	`jnl`	Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li
2024	A*	`conf`	MogaNet: Multi-order Gated Aggregation Network. ICLR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2024	J	`jnl`	Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li
2024	J	`jnl`	Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings. CoRR Di Wu, Siyuan Li, Chen Feng, Lu Cao, Yue Zhang, Jie Yang, Mohamad Sawan
2024	A*	`conf`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. ICML Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2024	J	`jnl`	VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Cheng Tan, Jiangbin Zheng, Yufei Huang, Stan Z. Li
2024	A	`conf`	XRDMamba: Large-scale Crystal Material Space Group Identification with Selective State Space Model. CIKM Liheng Yu, Pengkun Wang, Zhe Zhao, Zhongchao Yi, Sun Nan, Di Wu, Yang Wang
2023	A*	`conf`	Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li
2023	J	`jnl`	Fusing 2D and 3D molecular graphs as unambiguous molecular descriptors for conformational and chiral stereoisomers. Briefings Bioinform. Wenjie Du, Xiaoting Yang, Di Wu, Fenfen Ma, Baicheng Zhang, Chaochao Bao, Yaoyuan Huo, Jun Jiang, Xin Chen, Yang Wang
2023	—	`conf`	Improving efficiency in rationale discovery for Out-of-Distribution molecular representations. BIBM Jiahui Zhang, Jiahe Li, Wenjie Du, Shuai Zhang, Di Wu, Yang Wang
2023	J	`jnl`	Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression. IEEE Trans. Biomed. Circuits Syst. Di Wu, Shiqi Zhao, Jie Yang, Mohamad Sawan
2023	—	`conf`	Task-aware Compression for Wearable Sensor Data. BioCAS Di Wu, Jie Yang, Mohamad Sawan
2022	—	`conf`	A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction. BioCAS Shiqi Zhao, Di Wu, Jie Yang, Mohamad Sawan
2022	J	`jnl`	Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	—	`conf`	AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li
2022	J	`jnl`	Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation. CoRR Di Wu, Jie Yang, Mohamad Sawan
2022	—	`conf`	DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	J	`jnl`	DLME: Deep Local-flatness Manifold Embedding. CoRR Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2022	J	`jnl`	Deep manifold embedding of attributed graphs. Neurocomputing Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li
2022	J	`jnl`	Efficient Multi-order Gated Aggregation Network. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li
2022	A	`conf`	Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li
2022	J	`jnl`	OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li
2022	C	`conf`	Towards Task-aware Signal Compression for Efficient Continuous Health Monitoring. ISCAS Di Wu, Jie Yang, Mohamad Sawan
2022	J	`jnl`	Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond. CoRR Di Wu, Jie Yang, Mohamad Sawan
2022	J	`jnl`	neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. CoRR Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan
2021	J	`jnl`	Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li
2021	J	`jnl`	AutoMix: Unveiling the Power of Mixup. CoRR Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li
2021	J	`jnl`	Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li
2021	J	`jnl`	C CoRR Di Wu, Yi Shi, Ziyu Wang, Jie Yang, Mohamad Sawan
2021	J	`jnl`	GenURL: A General Framework for Unsupervised Representation Learning. CoRR Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li
2021	J	`jnl`	Unsupervised Deep Manifold Attributed Graph Embedding. CoRR Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li