Wei Dai
28 papers · 2016–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (13) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(34)
π
Keyword Champion
(2)
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(83)
β‘
Prolific Year
(10)
π
Century Club
(23)
π₯
Unstoppable
(5)
Conferences
ICML (6)
AAAI (3)
ACL (3)
ICLR (3)
COLING (2)
EMNLP (2)
INTERSPEECH (2)
AISTATS (1)
CVPR (1)
ICCV (1)
IJCNLP (1)
JMLR (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
asynchronous computation
(2)
model parallel
(2)
legal judgment
(2)
distributed optimization
(2)
feature selection
(2)
speech enhancement
(2)
neural network
(2)
prison term prediction
(2)
anomaly detection
(1)
factual accuracy
(1)
reward modeling
(1)
data augmentation
(1)
information retrieval
(1)
multimodal learning
(1)
unsupervised learning
(1)
machine translation
(1)
synthetic data generation
(1)
attention mechanism
(1)
reinforcement learning
(1)
direct preference optimization
(1)
Papers
GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs
ACL 2026
GUI0: Self-Evolving Foundational GUI Agents in Super App Ecosystems
ACL 2026
Compositional Attribute Imbalance in Vision Datasets
AAAI 2026
MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images
ACL 2026
Stability-Aware Reinforcement Learning for Robust Class Integration Test Order Generation
AAAI 2026
ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented Reasoning
EMNLP 2025
AutoUAD: Hyper-parameter Optimization for Unsupervised Anomaly Detection
ICLR 2025
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
ICLR 2025
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy
ICML 2025
CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models
ICML 2025
CogMath: Assessing LLMsβ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
AAAI 2025
MPPO: Multi Pair-wise Preference Optimization for LLMs with Arbitrary Negative Samples
COLING 2025
On Weaponization-Resistant Large Language Models with Prospect Theoretic Alignment
COLING 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning
CVPR 2025
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
ICML 2024
Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function
INTERSPEECH 2024
RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation
MICCAI 2024
A Mask Free Neural Network for Monaural Speech Enhancement
INTERSPEECH 2023
Brain Network Transformer
NIPS 2022
Learning Optimal Tree Models under Beam Search
ICML 2020
Charge-Based Prison Term Prediction with Deep Gating Network
IJCNLP 2019
Charge-Based Prison Term Prediction with Deep Gating Network
EMNLP 2019
Toward Understanding the Impact of Staleness in Distributed Machine Learning
ICLR 2019
Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters
JMLR 2018
Dual Motion GAN for Future-Flow Embedded Video Prediction
ICCV 2017
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
AISTATS 2016
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
ICML 2016