Chuhan Wu
50 papers · 2017–2025 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (72) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(38)
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Keyword Champion
(2)
π§
Keyword Pioneer
π₯
Mega-Team Β· Squad
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Deep Specialist
(13)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(200)
Venues
Top co-authors
Research topics
Machine Learning
(38)
Deep Learning
(24)
Artificial Intelligence
(19)
Core Methods
(18)
Natural Language Processing
(17)
Application Areas
(17)
Data Science & Analytics
(15)
Applications Β· Data Science & Analytics
(15)
Learning Types Β· Machine Learning
(14)
Core AI
(12)
Architectures
(11)
Applications Β· Natural Language Processing
(10)
Learning Types Β· Deep Learning
(10)
Learning Paradigms
(9)
Techniques
(8)
Keywords
news recommendation
(18)
user modeling
(8)
pre-trained language model
(6)
convolutional neural network
(6)
user representation
(5)
user embedding
(5)
attention mechanism
(5)
long short-term memory
(4)
named entity recognition
(4)
attention network
(3)
domain adaptation
(3)
transfer learning
(3)
multi-head self-attention
(3)
contrastive learning
(3)
information retrieval
(3)
multi-task learning
(3)
adversarial learning
(3)
multi-view learning
(3)
federated learning
(3)
large language model
(3)
Papers
Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge
ACL 2025
Instruction-Tuning Data Synthesis from Scratch via Web Reconstruction
ACL 2025
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
COLING 2025
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
EMNLP 2025
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References
ICLR 2025
ToolACE: Winning the Points of LLM Function Calling
ICLR 2025
Learning to Edit: Aligning LLMs with Knowledge Editing
ACL 2024
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning
EMNLP 2022
Effective and Efficient Query-aware Snippet Extraction for Web Search
EMNLP 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
NeurIPS 2022
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
ECCV 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
ACL 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need?
IJCAI 2022
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
EMNLP 2022
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
ACL 2022
DA-Transformer: Distance-aware Transformer
NAACL 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
EMNLP 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning
AAAI 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
ACL 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
ACL 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
ACL 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
ACL 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
EMNLP 2021
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
IJCAI 2021
Attentive Pooling with Learnable Norms for Text Representation
ACL 2020
MIND: A Large-scale Dataset for News Recommendation
ACL 2020
Named Entity Recognition in Multi-level Contexts
AACL 2020
Privacy-Preserving News Recommendation Model Learning
EMNLP 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
EMNLP 2020
SentiRec: Sentiment Diversity-aware Neural News Recommendation
AACL 2020
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
IJCAI 2020
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention
ACL 2019
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
NAACL 2019
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning
AAAI 2019
Neural News Recommendation with Attentive Multi-View Learning
IJCAI 2019
Neural News Recommendation with Heterogeneous User Behavior
EMNLP 2019
Neural News Recommendation with Long- and Short-term User Representations
ACL 2019
Neural News Recommendation with Multi-Head Self-Attention
EMNLP 2019
Neural News Recommendation with Topic-Aware News Representation
ACL 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
EMNLP 2019
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers
SemEval 2019
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN
SemEval 2019
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention
EMNLP 2018
Neural Metaphor Detecting with CNN-LSTM Model
NAACL 2018
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model
SemEval 2018
THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
SemEval 2018
THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction
SemEval 2018
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
SemEval 2018
THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM
IJCNLP 2017