Tao Qi
37 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(13)
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(6)
🤝
Dynamic Duo
(29)
🔬
Deep Specialist
(11)
💎
Century Club
(31)
🚀
Conference Pioneer
🗃️
Keyword Collector
(138)
⚡
Prolific Year
(9)
🔥
Unstoppable
(7)
Conferences
ACL (12)
EMNLP (7)
IJCNLP (6)
AAAI (3)
AACL (2)
IJCAI (2)
SEMEVAL (2)
COLING (1)
ICCV (1)
NIPS (1)
Top co-authors
Research topics
Keywords
news recommendation
(16)
user modeling
(9)
attention mechanism
(4)
user embedding
(4)
user interest modeling
(4)
federated learning
(4)
representation learning
(4)
pre-trained language model
(4)
retrieval-augmented generation
(3)
multi-view learning
(3)
transfer learning
(3)
graph neural network
(3)
membership inference attack
(3)
differential privacy
(3)
named entity recognition
(3)
text classification
(2)
convolutional neural network
(2)
multi-task learning
(2)
privacy preservation
(2)
efficient computing
(2)
Papers
MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems
AAAI 2026
ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases
AAAI 2026
Robust Membership Inference for Large Language Models under Adversarial Generative Corruption
ACL 2026
Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models
ACL 2026
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
ACL 2026
Measuring Human Contribution in AI-Assisted Content Generation
ACL 2026
From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning
ICCV 2025
GLoCIM: Global-view Long Chain Interest Modeling for news recommendation
COLING 2025
Towards the Robustness of Differentially Private Federated Learning
AAAI 2024
FedSampling: A Better Sampling Strategy for Federated Learning
IJCAI 2023
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
NIPS 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
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
IJCNLP 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling
ACL 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
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving
EMNLP 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
SentiRec: Sentiment Diversity-aware Neural News Recommendation
AACL 2020
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision
EMNLP 2020
Privacy-Preserving News Recommendation Model Learning
EMNLP 2020
MIND: A Large-scale Dataset for News Recommendation
ACL 2020
Attentive Pooling with Learnable Norms for Text Representation
ACL 2020
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
IJCAI 2020
Named Entity Recognition in Multi-level Contexts
AACL 2020
Neural News Recommendation with Multi-Head Self-Attention
IJCNLP 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
EMNLP 2019
Neural News Recommendation with Multi-Head Self-Attention
EMNLP 2019
Neural News Recommendation with Heterogeneous User Behavior
IJCNLP 2019
Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network
IJCNLP 2019
Neural News Recommendation with Heterogeneous User Behavior
EMNLP 2019
THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN
SEMEVAL 2019
THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers
SEMEVAL 2019
Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention
ACL 2019