Tao Lei
39 papers · 2012–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (13) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (12) π Cross-Pollinator (3)
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Cross-Pollinator
(3)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(63)
π
Grand Slam
π€
Dynamic Duo
(15)
π₯
Mega-Team
(29)
ποΈ
Keyword Collector
(117)
π
Century Club
(38)
π₯
Unstoppable
(14)
β‘
Prolific Year
(5)
Conferences
EMNLP (12)
ACL (8)
NAACL (4)
NIPS (4)
AAAI (2)
ICML (2)
SEMEVAL (2)
ECCV (1)
ICCV (1)
ICLR (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Keywords
model compression
(5)
language modeling
(4)
text classification
(3)
recurrent neural network
(3)
multi-document summarization
(2)
intent classification
(2)
question answering
(2)
efficient computing
(2)
language model
(2)
conditional computation
(2)
machine translation
(2)
medical image segmentation
(2)
sparse activation
(2)
knowledge transfer
(1)
attention mechanism
(1)
vision transformer
(1)
optimal transport
(1)
style transfer
(1)
semi-supervised learning
(1)
active learning
(1)
Papers
DGKAN: Dual-branch Graph Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection
AAAI 2026
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
ICLR 2025
Adaptive Learning of High-Value Regions for Semi-Supervised Medical Image Segmentation
ICCV 2025
Instruction-Following Pruning for Large Language Models
ICML 2025
"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training"
ECCV 2024
CoLT5: Faster Long-Range Transformers with Conditional Computation
EMNLP 2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
IJCAI 2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
NIPS 2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
NIPS 2023
Mixture-of-Experts with Expert Choice Routing
NIPS 2022
Training Language Models with Memory Augmentation
EMNLP 2022
Nutri-bullets: Summarizing Health Studies by Composing Segments
AAAI 2021
Nutri-bullets Hybrid: Consensual Multi-document Summarization
NAACL 2021
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
EMNLP 2021
Autoregressive Knowledge Distillation through Imitation Learning
EMNLP 2020
ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition
INTERSPEECH 2020
Interactive Classification by Asking Informative Questions
ACL 2020
Rationalizing Text Matching: Learning Sparse Alignments via Optimal Transport
ACL 2020
Structured Pruning of Large Language Models
EMNLP 2020
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums
SEMEVAL 2019
Metric Learning for Dynamic Text Classification
EMNLP 2019
Building a Production Model for Retrieval-Based Chatbots
ACL 2019
Simple Recurrent Units for Highly Parallelizable Recurrence
EMNLP 2018
Adversarial Domain Adaptation for Duplicate Question Detection
EMNLP 2018
Style Transfer from Non-Parallel Text by Cross-Alignment
NIPS 2017
Deriving Neural Architectures from Sequence and Graph Kernels
ICML 2017
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering
SEMEVAL 2016
Learning to refine text based recommendations
EMNLP 2016
Proceedings of the ACL 2016 Student Research Workshop
ACL 2016
Making Dependency Labeling Simple, Fast and Accurate
NAACL 2016
Rationalizing Neural Predictions
EMNLP 2016
Semi-supervised Question Retrieval with Gated Convolutions
NAACL 2016
High-Order Low-Rank Tensors for Semantic Role Labeling
NAACL 2015
Molding CNNs for text: non-linear, non-consecutive convolutions
EMNLP 2015
Low-Rank Tensors for Scoring Dependency Structures
ACL 2014
Greed is Good if Randomized: New Inference for Dependency Parsing
EMNLP 2014
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees
ACL 2014
From Natural Language Specifications to Program Input Parsers
ACL 2013
Learning High-Level Planning from Text
ACL 2012