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Sijie Wang

18 papers · 2022–2026 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+7 more ↓ 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (7)
πŸ—ΊοΈ Taxonomy Completionist (51) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (11) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (99)

Conferences

AAAI (8) NIPS (3) CVPR (2) IJCAI (2) COLING (1) ICCV (1) ICML (1)

Papers

PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling AAAI 2026 Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction AAAI 2026 BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition COLING 2025 STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes AAAI 2025 Multi-Modal Aerial-Ground Cross-View Place Recognition with Neural ODEs CVPR 2025 UAVScenes: A Multi-Modal Dataset for UAVs ICCV 2025 Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training IJCAI 2025 Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study AAAI 2024 DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks NIPS 2024 PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations AAAI 2024 DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition AAAI 2024 Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy AAAI 2024 RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments AAAI 2023 Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks ICML 2023 Graph Neural Convection-Diffusion with Heterophily IJCAI 2023 HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion CVPR 2023 Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach NIPS 2023 On the Robustness of Graph Neural Diffusion to Topology Perturbations NIPS 2022