Hanlin Tang
18 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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The Questioner
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Century Club Β· Bronze
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Research topics
Machine Learning
(16)
Deep Learning
(9)
Optimization & Theory Β· Machine Learning
(9)
Artificial Intelligence
(6)
Application Areas
(5)
Architectures
(5)
Core AI
(5)
Core Methods
(4)
Natural Language Processing
(3)
Optimization & Theory Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Learning Types
(2)
Optimization
(2)
Understanding
(2)
Computer Vision
(1)
Keywords
distributed learning
(5)
representation learning
(3)
error compensation
(3)
neural network
(3)
geometric analysis
(2)
model quantization
(2)
named entity recognition
(2)
graph neural network
(2)
gradient compression
(2)
communication compression
(2)
variance reduction
(2)
stochastic gradient descent
(2)
communication efficiency
(2)
speech recognition
(1)
attention mechanism
(1)
zero-shot learning
(1)
object detection
(1)
probing analysis
(1)
manifold learning
(1)
contrastive learning
(1)
Papers
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
ICLR 2025
Span-based Unified Named Entity Recognition Framework via Contrastive Learning
IJCAI 2024
Span Graph Transformer for Document-Level Named Entity Recognition
AAAI 2024
EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs
EMNLP 2023
1-bit Adam: Communication Efficient Large-Scale Training with Adamβs Convergence Speed
ICML 2021
ErrorCompensatedX: error compensation for variance reduced algorithms
NeurIPS 2021
On the geometry of generalization and memorization in deep neural networks
ICLR 2021
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
ICLR 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
ACL 2021
What Did You Refer to? Evaluating Co-References in Dialogue
ACL 2021
Emergence of Separable Manifolds in Deep Language Representations
ICML 2020
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
ICLR 2020
Distributed Learning over Unreliable Networks
ICML 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
ICML 2019
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset
ICCV 2019
Untangling in Invariant Speech Recognition
NeurIPS 2019
D^2: Decentralized Training over Decentralized Data
ICML 2018
Communication Compression for Decentralized Training
NeurIPS 2018