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Xiaowei Li

12 papers · 2018–2025 · 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

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+3 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (69) πŸ’Ž Century Club Β· Bronze

Venues

ICML (4) AAAI (2) NeurIPS (2) ACML (1) CVPR (1) IJCAI (1) UAI (1)

Top co-authors

Yinhe Han (6) YU HU (5) Jilin Mei (3) Shun Lu (3) Qin Zhang (3) Shirui Pan (3) Longxing Yang (3) Zihao Sun (3) Junyang Chen (2) Jiexin Lu (2)

Research topics

Deep Learning (8) Machine Learning (8) Application Areas (5) Architectures (5) Artificial Intelligence (3) Learning Types (3) Models (3) Optimization & Theory (3) Techniques (3) Computer Vision (2) Core Methods (2) Learning Paradigms (2) Computer Science (1) Analysis (1) Core AI (1)

Keywords

graph neural network (3) neural architecture search (3) out-of-distribution detection (2) graph learning (2) zero-shot learning (1) semantic segmentation (1) differential privacy (1) regularization (1) 3d reconstruction (1) computer vision (1) scene understanding (1) label propagation (1) few-shot learning (1) prototype learning (1) video prediction (1) video generation (1) attention mechanism (1) depth estimation (1) model architecture (1) vision transformer (1)

Papers

BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation ICML 2025 FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks ICML 2025 TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs AAAI 2025 CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection IJCAI 2024 ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024 AGNAS: Attention-Guided Micro and Macro-Architecture Search ICML 2022 SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022 Searching for BurgerFormer with Micro-Meso-Macro Space Design ICML 2022 DDSAS: Dynamic and Differentiable Space-Architecture Search ACML 2021 PLUGIn: A simple algorithm for inverting generative models with recovery guarantees NeurIPS 2021 Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction CVPR 2020 See and Think: Disentangling Semantic Scene Completion NeurIPS 2018