Guibing Guo
26 papers · 2013–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π Academic Marathon (12)
π§
Keyword Pioneer
π
Cross-Pollinator
(12)
π£
Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(12)
π
Keyword Champion
(2)
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(106)
π
Century Club
(23)
Conferences
AAAI (10)
IJCAI (6)
ACL (3)
ICCV (1)
ICLR (1)
ICML (1)
IJCNLP (1)
NAACL (1)
NIPS (1)
SEMEVAL (1)
Top co-authors
Keywords
representation learning
(4)
data augmentation
(3)
question answering
(3)
sequential recommendation
(3)
large language model
(3)
machine reading comprehension
(3)
attention mechanism
(2)
collaborative filtering
(2)
recommender system
(2)
soft prompt
(2)
multi-task learning
(2)
continual learning
(2)
gradient projection
(2)
user preference modeling
(2)
catastrophic forgetting
(2)
text matching
(2)
low-rank adaptation
(2)
prompt tuning
(2)
knowledge editing
(1)
computer vision
(1)
Papers
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation
AAAI 2026
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
AAAI 2026
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
AAAI 2026
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
CoRA: Collaborative Information Perception by Large Language Modelβs Weights for Recommendation
AAAI 2025
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
AAAI 2025
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
NAACL 2025
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
ACL 2025
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
AAAI 2025
Representation Surgery for Multi-Task Model Merging
ICML 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
NIPS 2023
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
AAAI 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
AAAI 2023
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
ACL 2021
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
SEMEVAL 2021
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
IJCNLP 2021
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
AAAI 2020
Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation
IJCAI 2019
Discrete Trust-aware Matrix Factorization for Fast Recommendation
IJCAI 2019
Approximating Word Ranking and Negative Sampling for Word Embedding
IJCAI 2018
A Novel Bayesian Similarity Measure for Recommender Systems
IJCAI 2013
Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems
IJCAI 2013