Di Wu
94 papers · 2014–2026 · 19 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (19)
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(10)
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(82)
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Conferences
EMNLP (20)
AAAI (14)
ACL (11)
IJCAI (11)
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
Research topics
Keywords
large language model
(9)
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
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
AAAI 2026
SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction
AAAI 2026
Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
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
Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding
AAAI 2026
Open-Domain Safety Policy Construction
EACL 2026
What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs
EACL 2026
VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval
ACL 2026
On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning
ACL 2026
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery
AAAI 2026
Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-Judge
ACL 2026
Cost-Aware Optimal Pairwise Pure Exploration
AISTATS 2025
MXMap: A Multivariate Cross Mapping Framework for Causal Discovery in Dynamical Systems
CLEAR 2025
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
AAAI 2025
Sampling Innovation-Based Adaptive Compressive Sensing
CVPR 2025
Fully-Scalable Massively Parallel Algorithm for k-center with Outliers
AAAI 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
Generative Multi-Agent Collaboration in Embodied AI: A Systematic Review
IJCAI 2025
DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation
MICCAI 2025
A Novel Sparse Active Online Learning Framework for Fast and Accurate Streaming Anomaly Detection Over Data Streams
IJCAI 2025
Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings
ICLR 2025
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
ICLR 2025
Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
ICLR 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
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-MTβs 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
INT: Establishing Information Transfer for Multilingual Intent Detection and Slot Filling
ACL 2025
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
ICML 2024
Robot Policy Learning with Temporal Optimal Transport Reward
NIPS 2024
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate DrugβDrug Interaction Prediction
AAAI 2024
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
AAAI 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models
ACL 2024
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation
ACL 2024
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data
ACL 2024
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation
COLING 2024
Flow Matching for Conditional Text Generation in a Few Sampling Steps
EACL 2024
Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation
EMNLP 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
UvA-MTβs Participation in the WMT24 General Translation Shared Task
EMNLP 2024
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
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning
ICML 2024
FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees
ICML 2024
Repoformer: Selective Retrieval for Repository-Level Code Completion
ICML 2024
BADFSS: Backdoor Attacks on Federated Self-Supervised Learning
IJCAI 2024
Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling
IJCAI 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
IJCAI 2024
MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction
IJCAI 2024
An Uyghur Extension to the MASSIVE Multi-lingual Spoken Language Understanding Corpus with Comprehensive Evaluations
INTERSPEECH 2024
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation
EMNLP 2023
Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
ICML 2023
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
IJCAI 2023
DPAUC: Differentially Private AUC Computation in Federated Learning
AAAI 2023
Online Semi-supervised Learning with Mix-Typed Streaming Features
AAAI 2023
Empathy Intent Drives Empathy Detection
EMNLP 2023
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks
EMNLP 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
Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes
ICCV 2023
ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
CVPR 2023
Relightable Neural Human Assets From Multi-View Gradient Illuminations
CVPR 2023
UvA-MTβs Participation in the WMT 2023 General Translation Shared Task
EMNLP 2023
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
EMNLP 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
IJCAI 2023
Object Localization Under Single Coarse Point Supervision
CVPR 2022
Constrained Adaptive Projection with Pretrained Features for Anomaly Detection
IJCAI 2022
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
ECCV 2022
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting
AAAI 2022
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
ACL 2022
Challenges to Open-Domain Constituency Parsing
ACL 2022
DLME: Deep Local-Flatness Manifold Embedding
ECCV 2022
Representation Learning for Resource-Constrained Keyphrase Generation
EMNLP 2022
A Closer Look at Offline RL Agents
NIPS 2022
WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit
INTERSPEECH 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