Bin Dai
15 papers · 2016–2026 · 10 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot · Gold 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze
🧬
Topic Evolution
🧭
Keyword Pioneer
❓
The Questioner
🗃️
Keyword Collector
(78)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(11)
Artificial Intelligence
(8)
Core AI
(7)
Models
(7)
Core Methods
(6)
Learning Types · Machine Learning
(6)
Computer Vision
(3)
Natural Language Processing
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Machine Learning
(3)
Architectures
(2)
Domain-Specific
(2)
Generation
(2)
Optimization & Theory · Deep Learning
(2)
Keywords
variational autoencoder
(5)
latent representation
(3)
variational inference
(2)
dialogue generation
(2)
deep generative model
(2)
reinforcement learning
(2)
semi-supervised learning
(2)
posterior collapse
(2)
network pruning
(1)
autonomous driving
(1)
information bottleneck
(1)
motion forecasting
(1)
model calibration
(1)
social intelligence
(1)
manifold learning
(1)
vector quantization
(1)
outlier detection
(1)
motion synthesis
(1)
distributed inference
(1)
reinforcement learning from human feedback
(1)
Papers
EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks
ACL 2026
Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning
ACL 2025
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation
ICCV 2025
SmartRAG: Jointly Learn RAG-Related Tasks From the Environment Feedback
ICLR 2025
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
EMNLP 2025
Controlling Character Motions Without Observable Driving Source
WACV 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
CVPR 2024
Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level
ACL 2024
On the Value of Infinite Gradients in Variational Autoencoder Models
NeurIPS 2021
Further Analysis of Outlier Detection with Deep Generative Models
NeurIPS 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse
ICML 2020
Diagnosing and Enhancing VAE Models
ICLR 2019
Compressing Neural Networks using the Variational Information Bottleneck
ICML 2018
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models
JMLR 2018
Semi-supervised Gender Classification with Joint Textual and Social Modeling
COLING 2016