Fangzhao Wu
63 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (12) πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Academic Marathon (9)
πΊοΈ
Taxonomy Completionist
(11)
π
Renaissance Researcher
(8)
π§
Keyword Pioneer
π€
Dynamic Duo
(45)
π
Keyword Champion
(2)
π¬
Deep Specialist
(15)
π₯
Unstoppable
(10)
π
Conference Pioneer
β‘
Prolific Year
(10)
β
The Questioner
(4)
ποΈ
Keyword Collector
(211)
π
Trend Setter
π
Century Club
(60)
Conferences
ACL (19)
EMNLP (13)
IJCNLP (8)
IJCAI (6)
SEMEVAL (4)
AAAI (3)
NAACL (3)
ICML (2)
NIPS (2)
AACL (1)
ECCV (1)
ICCV (1)
Top co-authors
Research topics
Keywords
news recommendation
(23)
user modeling
(11)
attention mechanism
(8)
federated learning
(7)
user representation
(6)
user embedding
(6)
representation learning
(5)
convolutional neural network
(5)
pre-trained language model
(4)
user interest modeling
(4)
multi-view learning
(4)
large language model
(4)
hierarchical attention
(3)
click prediction
(3)
adversarial learning
(3)
attention network
(3)
recommendation system
(3)
long short-term memory
(3)
sentiment analysis
(3)
contrastive learning
(3)
Papers
Measuring Human Contribution in AI-Assisted Content Generation
ACL 2026
SGT: Securing Open-Source LLMs Against Malicious Fine-tuning via Safety Guidance Trigger
ACL 2026
RLSeek: Evidence-Grounded Reasoning for RAG Hallucination Detection
ACL 2026
Defending against Indirect Prompt Injection by Instruction Detection
EMNLP 2025
On the Vulnerability of Safety Alignment in Open-Access LLMs
ACL 2024
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
ACL 2023
FedSampling: A Better Sampling Strategy for Federated Learning
IJCAI 2023
Personalized Federated Learning with Inferred Collaboration Graphs
ICML 2023
Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting
ICML 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis
ICCV 2023
FedX: Unsupervised Federated Learning with Cross Knowledge Distillation
ECCV 2022
NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better
ACL 2022
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
ACL 2022
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
EMNLP 2022
DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning
EMNLP 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
NIPS 2022
Effective and Efficient Query-aware Snippet Extraction for Web Search
EMNLP 2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
NIPS 2022
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
AAAI 2022
Rethinking InfoNCE: How Many Negative Samples Do You Need?
IJCAI 2022
DA-Transformer: Distance-aware Transformer
NAACL 2021
Fairness-aware News Recommendation with Decomposed Adversarial Learning
AAAI 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
ACL 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
ACL 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
ACL 2021
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
ACL 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
EMNLP 2021
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
EMNLP 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation
IJCAI 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
IJCNLP 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
IJCNLP 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
IJCNLP 2021
One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers
IJCNLP 2021
MIND: A Large-scale Dataset for News Recommendation
ACL 2020
Attentive Pooling with Learnable Norms for Text Representation
ACL 2020
Privacy-Preserving News Recommendation Model Learning
EMNLP 2020
Fine-grained Interest Matching for Neural News Recommendation
ACL 2020
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
IJCAI 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
EMNLP 2020
SentiRec: Sentiment Diversity-aware Neural News Recommendation
AACL 2020
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
IJCNLP 2019
Neural News Recommendation with Multi-Head Self-Attention
IJCNLP 2019
Neural News Recommendation with Heterogeneous User Behavior
EMNLP 2019
Exploring Sequence-to-Sequence Learning in Aspect Term Extraction
ACL 2019
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network
IJCAI 2019
Neural News Recommendation with Attentive Multi-View Learning
IJCAI 2019
Neural News Recommendation with Topic-Aware News Representation
ACL 2019
Neural News Recommendation with Long- and Short-term User Representations
ACL 2019
Neural News Recommendation with Heterogeneous User Behavior
IJCNLP 2019
DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching
AAAI 2019
Hierarchical User and Item Representation with Three-Tier Attention for Recommendation
NAACL 2019
Neural News Recommendation with Multi-Head Self-Attention
EMNLP 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
EMNLP 2019
THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
SEMEVAL 2018
Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention
EMNLP 2018
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model
SEMEVAL 2018
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
SEMEVAL 2018
Neural Metaphor Detecting with CNN-LSTM Model
NAACL 2018
THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction
SEMEVAL 2018
THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM
IJCNLP 2017
Active Sentiment Domain Adaptation
ACL 2017
Sentiment Domain Adaptation with Multiple Sources
ACL 2016