Nan Yang
53 papers · 2012–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Academic Marathon
(13)
π
Renaissance Researcher
(5)
π§
Keyword Pioneer
π
Grand Slam
π§¬
Topic Evolution
π€
Dynamic Duo
(25)
ποΈ
Keyword Collector
(195)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(48)
π₯
Unstoppable
(14)
β
The Questioner
Conferences
ACL (17)
AAAI (8)
EMNLP (7)
CVPR (4)
ICLR (3)
CORL (2)
NAACL (2)
NIPS (2)
COLING (1)
EACL (1)
ECCV (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
JMLR (1)
WACV (1)
Top co-authors
Keywords
large language model
(6)
question answering
(5)
attention mechanism
(5)
language model
(5)
contrastive learning
(5)
knowledge distillation
(5)
information retrieval
(4)
self-supervised learning
(3)
synthetic data generation
(3)
depth estimation
(3)
machine reading comprehension
(3)
dense retrieval
(3)
dense passage retrieval
(3)
neural network
(3)
text embedding
(2)
3d reconstruction
(2)
multi-view stereo
(2)
federated learning
(2)
generative retrieval
(2)
representation learning
(2)
Papers
Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
ACL 2026
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
AAAI 2026
Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning
AAAI 2026
Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
AAAI 2026
MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings
ACL 2026
Sonata: Self-Supervised Learning of Reliable Point Representations
CVPR 2025
Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning
AAAI 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
Little Giants: Synthesizing High-Quality Embedding Data at Scale
NAACL 2025
Generative Representational Instruction Tuning
ICLR 2025
Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
ICLR 2025
mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data
ACL 2025
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
EMNLP 2025
SMamba: Sparse Mamba for Event-based Object Detection
AAAI 2025
Learning to Rank in Generative Retrieval
AAAI 2024
Pygmtools: A Python Graph Matching Toolkit
JMLR 2024
Improving Text Embeddings with Large Language Models
ACL 2024
LongEmbed: Extending Embedding Models for Long Context Retrieval
EMNLP 2024
Learning to Retrieve In-Context Examples for Large Language Models
EACL 2024
FIRe: Fast Inverse Rendering Using Directional and Signed Distance Functions
WACV 2024
PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training
ICLR 2024
Behind the Scenes: Density Fields for Single View Reconstruction
CVPR 2023
Combining Adversaries with Anti-adversaries in Training
AAAI 2023
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval
ACL 2023
Multiview Identifiers Enhanced Generative Retrieval
ACL 2023
Query2doc: Query Expansion with Large Language Models
EMNLP 2023
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset
EMNLP 2022
MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera
CVPR 2021
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
CORL 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
ACL 2021
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering
IJCNLP 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
NAACL 2021
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
CVPR 2020
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
ICML 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers
NIPS 2020
Read + Verify: Machine Reading Comprehension with Unanswerable Questions
AAAI 2019
Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension
EMNLP 2019
Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light
CORL 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation
NIPS 2019
Attention-Guided Answer Distillation for Machine Reading Comprehension
EMNLP 2018
Neural Document Summarization by Jointly Learning to Score and Select Sentences
ACL 2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
ECCV 2018
Selective Encoding for Abstractive Sentence Summarization
ACL 2017
Gated Self-Matching Networks for Reading Comprehension and Question Answering
ACL 2017
Sequence-to-Dependency Neural Machine Translation
ACL 2017
Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation
COLING 2016
Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation
IJCAI 2015
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
ACL 2014
A Recursive Recurrent Neural Network for Statistical Machine Translation
ACL 2014
Word Alignment Modeling with Context Dependent Deep Neural Network
ACL 2013
Punctuation Prediction with Transition-based Parsing
ACL 2013
Easy-First POS Tagging and Dependency Parsing with Beam Search
ACL 2013
A Ranking-based Approach to Word Reordering for Statistical Machine Translation
ACL 2012