Di Wu

91 papers · 2014–2026 · 19 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (19) 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🏠 Conference Loyalist (20) 🏆 Grand Slam 👑 Triple Crown 🤝 Dynamic Duo (11) 👥 Mega-Team (37) 🔬 Deep Specialist (10) 🗃️ Keyword Collector (368) ⚡ Prolific Year (10) ❓ The Questioner (3) 📈 Trend Setter 💎 Century Club (82) 🔥 Unstoppable (8)

Conferences

EMNLP (20) AAAI (14) IJCAI (11) ACL (8) ICLR (6) CVPR (5) ICML (5) INTERSPEECH (5) EACL (3) NIPS (2) COLING (2) ECCV (2) NAACL (2) RSS (1) MICCAI (1) JMLR (1) ICCV (1) CLEAR (1) AISTATS (1)

Top co-authors

Christof Monz (12) Kai-Wei Chang (11) Siyuan Li (6) Stan Z. Li (5) Benoit Boulet (5) Miao Hu (5) Liang Ding (4) Yuwei Fu (4) David Stap (4) Seth Aycock (4)

Research topics

Deep Learning (1) Applications (1) Differential Privacy (1)

Keywords

large language model (8) representation learning (6) machine translation (5) contrastive learning (5) graph neural network (5) self-supervised learning (4) keyphrase generation (4) knowledge transfer (4) neural machine translation (4) multimodal learning (4) transfer learning (4) spoken language understanding (4) slot filling (3) language model (3) parallel datum (3) zero-shot learning (3) domain adaptation (3) multilingual machine translation (3) intent detection (3) federated learning (3)

Papers

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026

SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction AAAI 2026

Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition AAAI 2026

What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs EACL 2026

Open-Domain Safety Policy Construction EACL 2026

PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026

Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding AAAI 2026

Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective AAAI 2026

Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models AAAI 2026

DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation MICCAI 2025

Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review IJCAI 2025

A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams IJCAI 2025

Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models ACL 2025

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models ACL 2025

INT: Establishing Information Transfer for Multilingual Intent Detection and Slot Filling ACL 2025

Cost-Aware Optimal Pairwise Pure Exploration AISTATS 2025

MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems CLEAR 2025

Sampling Innovation-Based Adaptive Compressive Sensing CVPR 2025

RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation RSS 2025

How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation NAACL 2025

BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression NAACL 2025

ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling AAAI 2025

Fully-Scalable Massively Parallel Algorithm for k-center with Outliers AAAI 2025

Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation EMNLP 2025

KMatrix-2: A Comprehensive Heterogeneous Knowledge Collaborative Enhancement Toolkit for Large Language Model EMNLP 2025

UvA-MT’s Participation in the WMT25 General Translation Shared Task EMNLP 2025

UvA-MT at WMT25 Evaluation Task: LLM Uncertainty as a Proxy for Translation Quality EMNLP 2025

Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? ICLR 2025

LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory ICLR 2025

Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings ICLR 2025

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses ICLR 2024

FedInverse: Evaluating Privacy Leakage in Federated Learning ICLR 2024

MogaNet: Multi-order Gated Aggregation Network ICLR 2024

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction AAAI 2024

Neural Network Approximation for Pessimistic Offline Reinforcement Learning AAAI 2024

FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning ICML 2024

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling ICML 2024

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees ICML 2024

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP 2024

MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction IJCAI 2024

How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data ACL 2024

The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention EMNLP 2024

Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024

KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model EMNLP 2024

MetaKP: On-Demand Keyphrase Generation EMNLP 2024

Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024

FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024

On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation COLING 2024

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling IJCAI 2024

BADFSS: Backdoor Attacks on Federated Self-Supervised Learning IJCAI 2024

Robot Policy Learning with Temporal Optimal Transport Reward NIPS 2024

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation ACL 2024

UvA-MT’s Participation in the WMT24 General Translation Shared Task EMNLP 2024

Flow Matching for Conditional Text Generation in a Few Sampling Steps EACL 2024

Meta-Task Prompting Elicits Embeddings from Large Language Models ACL 2024

An Uyghur Extension to the MASSIVE Multi-lingual Spoken Language Understanding Corpus with Comprehensive Evaluations INTERSPEECH 2024

Repoformer: Selective Retrieval for Repository-Level Code Completion ICML 2024

Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN ICML 2023

Online Semi-supervised Learning with Mix-Typed Streaming Features AAAI 2023

DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023

Relightable Neural Human Assets From Multi-View Gradient Illuminations CVPR 2023

ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling CVPR 2023

Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks EMNLP 2023

Empathy Intent Drives Empathy Detection EMNLP 2023

Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models EMNLP 2023

Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation EMNLP 2023

UvA-MT’s Participation in the WMT 2023 General Translation Shared Task EMNLP 2023

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes ICCV 2023

FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023

BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning IJCAI 2023

ZeroPrompt: Streaming Acoustic Encoders are Zero-Shot Masked LMs INTERSPEECH 2023

MSAF: A Multiple Self-Attention Field Method for Speech Enhancement INTERSPEECH 2023

Gap Minimization for Knowledge Sharing and Transfer JMLR 2023

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers ECCV 2022

DLME: Deep Local-Flatness Manifold Embedding ECCV 2022

Challenges to Open-Domain Constituency Parsing ACL 2022

WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit INTERSPEECH 2022

Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting AAAI 2022

A Closer Look at Offline RL Agents NIPS 2022

Representation Learning for Resource-Constrained Keyphrase Generation EMNLP 2022

MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning ACL 2022

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection IJCAI 2022

Object Localization Under Single Coarse Point Supervision CVPR 2022

WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit INTERSPEECH 2021

Improving Neural Machine Translation by Bidirectional Training EMNLP 2021

Residential Electric Load Forecasting via Attentive Transfer of Graph Neural Networks IJCAI 2021

Context-Aware Cross-Attention for Non-Autoregressive Translation COLING 2020

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling EMNLP 2020

Online Learning from Capricious Data Streams: A Generative Approach IJCAI 2019

WECA: A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition EMNLP 2018

Leveraging Hierarchical Parametric Networks for Skeletal Joints Based Action Segmentation and Recognition CVPR 2014