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Xun Zhou

22 papers · 2018–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (7)
🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (72) πŸŒ‰ Interdisciplinary Bridge πŸ† Grand Slam πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (113) ⚑ Prolific Year (9) πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (5)

Conferences

AAAI (8) NIPS (5) ICLR (3) ACL (2) WACV (2) ICML (1) IJCAI (1)

Research topics

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