Di Wu

Affiliations

McGill University and Samsung

papers

547

total citations

papers (18)

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

ICML 2024arXiv

citations

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

ICCV 2023arXiv

citations

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

ICLR 2025arXiv

citations

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

AAAI 2024arXiv

citations

Sampling Innovation-Based Adaptive Compressive Sensing

CVPR 2025arXiv

citations

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

AAAI 2024

citations

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

CVPR 2023

citations

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

AAAI 2025

citations

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

AAAI 2025arXiv

citations

A Closer Look at Offline RL Agents

NEURIPS 2022

citations

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

ICML 2024

citations

Di Wu

Affiliations

papers (18)

MogaNet: Multi-order Gated Aggregation Network

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

Repoformer: Selective Retrieval for Repository-Level Code Completion

Object Localization Under Single Coarse Point Supervision

DLME: Deep Local-Flatness Manifold Embedding

Relightable Neural Human Assets From Multi-View Gradient Illuminations

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Sampling Innovation-Based Adaptive Compressive Sensing

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

A Closer Look at Offline RL Agents

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

papers (18)

MogaNet: Multi-order Gated Aggregation Network

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

Repoformer: Selective Retrieval for Repository-Level Code Completion

Object Localization Under Single Coarse Point Supervision

DLME: Deep Local-Flatness Manifold Embedding

Relightable Neural Human Assets From Multi-View Gradient Illuminations

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings

Neural Network Approximation for Pessimistic Offline Reinforcement Learning

Sampling Innovation-Based Adaptive Compressive Sensing

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling

A Closer Look at Offline RL Agents

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees