Hanlin Tang
20 papers · 2018–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11)
🐝
Cross-Pollinator
(11)
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(7)
👑
Triple Crown
🏆
Grand Slam
🗃️
Keyword Collector
(61)
⚡
Prolific Year
(8)
💎
Century Club
(20)
📈
Trend Setter
❓
The Questioner
(2)
Conferences
ICML (5)
ICLR (4)
NIPS (3)
ACL (2)
IJCNLP (2)
AAAI (1)
EMNLP (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
distributed learning
(5)
error compensation
(3)
gradient compression
(2)
neural network
(2)
stochastic gradient descent
(2)
variance reduction
(2)
pretrained language model
(2)
representation learning
(2)
representational invariance
(2)
hierarchical phrase structure
(2)
communication efficiency
(2)
named entity recognition
(2)
communication compression
(2)
convergence analysis
(1)
zero-shot learning
(1)
speech recognition
(1)
model quantization
(1)
geometric analysis
(1)
invariant recognition
(1)
object detection
(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
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
IJCNLP 2021
ErrorCompensatedX: error compensation for variance reduced algorithms
NIPS 2021
What Did You Refer to? Evaluating Co-References in Dialogue
ACL 2021
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models
ACL 2021
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
ICLR 2021
On the geometry of generalization and memorization in deep neural networks
ICLR 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed
ICML 2021
What Did You Refer to? Evaluating Co-References in Dialogue
IJCNLP 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
SpaceNet MVOI: A Multi-View Overhead Imagery Dataset
ICCV 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression
ICML 2019
Untangling in Invariant Speech Recognition
NIPS 2019
$D^2$: Decentralized Training over Decentralized Data
ICML 2018
Communication Compression for Decentralized Training
NIPS 2018