Xiuqiang He
17 papers · 2017–2026 · 7 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (35) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π§¬
Topic Evolution
π
Keyword Champion
(3)
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(96)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Deep Learning
(7)
Application Areas
(6)
Data Science & Analytics
(5)
Applications
(5)
Architectures
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Techniques
(4)
Core AI
(3)
Computer Vision
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Processing
(2)
Keywords
recommender system
(5)
feature interaction
(3)
large language model
(2)
neural network
(2)
out-of-distribution generalization
(2)
deep learning
(2)
convergence
(2)
user modeling
(2)
click-through rate
(2)
multi-task learning
(1)
collaborative filtering
(1)
feature selection
(1)
data subsampling
(1)
text mining
(1)
sample efficiency
(1)
representation learning
(1)
online advertising
(1)
information retrieval
(1)
transfer learning
(1)
reinforcement learning
(1)
Papers
Learning from Cognition: Enhancing RL Efficiency for LLM Reasoning via Hierarchical Metacognitive Decomposition and Refinement
ACL 2026
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
ICML 2025
Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency
ICML 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
ICML 2025
Uncertainty and Influence aware Reward Model Refinement for Reinforcement Learning from Human Feedback
ICLR 2025
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
ICML 2024
Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network
NeurIPS 2023
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks
CVPR 2022
Deep Learning for Click-Through Rate Estimation
IJCAI 2021
Graph Heterogeneous Multi-Relational Recommendation
AAAI 2021
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract)
AAAI 2021
UNBERT: User-News Matching BERT for News Recommendation
IJCAI 2021
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding
NeurIPS 2020
Less Is Better: Unweighted Data Subsampling via Influence Function
AAAI 2020
Leveraging Title-Abstract Attentive Semantics for Paper Recommendation
AAAI 2020
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
IJCAI 2017