Xun Zhou
22 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (7)
π
Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(72)
π
Interdisciplinary Bridge
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(113)
β‘
Prolific Year
(9)
π
Century Club
(20)
π₯
Unstoppable
(5)
Conferences
AAAI (8)
NIPS (5)
ICLR (3)
ACL (2)
WACV (2)
ICML (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
transfer learning
(4)
risk prediction
(2)
large language model
(2)
contrastive learning
(2)
prototype learning
(2)
deep learning
(2)
online learning
(1)
video recognition
(1)
temporal modeling
(1)
modality alignment
(1)
few-shot learning
(1)
autoregressive generation
(1)
multimodal learning
(1)
knowledge graph question answering
(1)
neural architecture search
(1)
domain generalization
(1)
autonomous driving
(1)
interpretable machine learning
(1)
imitation learning
(1)
reinforcement learning
(1)
Papers
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data
AAAI 2026
IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech
AAAI 2026
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
ACL 2025
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
AAAI 2025
Design Principle Transfer in Neural Architecture Search via Large Language Models
AAAI 2025
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning
ACL 2025
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
ICLR 2025
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
ICLR 2025
Hyper-Connections
ICLR 2025
Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
ICML 2025
PrevPredMap: Exploring Temporal Modeling with Previous Predictions for Online Vectorized HD Map Construction
WACV 2025
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment
NIPS 2024
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge Transfer
NIPS 2024
FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis
AAAI 2024
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
WACV 2023
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
NIPS 2023
Auto-CM: Unsupervised Deep Learning for Satellite Imagery Composition and Cloud Masking Using Spatio-Temporal Dynamics
AAAI 2023
ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
NIPS 2022
Statistically-Guided Deep Network Transformation to Harness Heterogeneity in Space (Extended Abstract)
IJCAI 2022
Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data
AAAI 2019
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
NIPS 2018