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Siyu Chen

26 papers · 2021–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (13)
🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 👥 Mega-Team (37) 🏆 Grand Slam 🔥 Unstoppable (6) Prolific Year (8) 💎 Century Club (21) The Questioner 🗃️ Keyword Collector (127)

Conferences

CVPR (5) AAAI (4) ICML (4) IJCAI (3) ACL (2) NIPS (2) WACV (2) ECCV (1) ICCV (1) ICLR (1) NAACL (1)

Papers

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026 Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios AAAI 2026 SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing AAAI 2026 LiDAR-DHMT: LiDAR-Adaptive Dual Hierarchical Mask Transformer for Robust Freespace Detection and Semantic Segmentation WACV 2026 3DSceneEditor: Controllable 3D Scene Editing with Gaussian Splatting WACV 2026 TR-DQ: Time-Rotation Diffusion Quantization AAAI 2026 Towards Trustworthy Smart Contract Synthesis: A Multi-Agent Framework with Lean-Based Verification ACL 2026 Unlocking Dark Vision Potential for Medical Image Segmentation IJCAI 2025 In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention ICML 2025 Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning IJCAI 2025 WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models ACL 2025 MambaIC: State Space Models for High-Performance Learned Image Compression CVPR 2025 Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation ICCV 2025 Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model ICLR 2025 In-Context Meta LoRA Generation IJCAI 2025 From Words to Actions: Unveiling the Theoretical Underpinnings of LLM-Driven Autonomous Systems ICML 2024 Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers NIPS 2024 Image Quality-Aware Diagnosis via Meta-Knowledge Co-Embedding CVPR 2023 Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model ICML 2023 PyPose: A Library for Robot Learning With Physics-Based Optimization CVPR 2023 DocEE: A Large-Scale and Fine-grained Benchmark for Document-level Event Extraction NAACL 2022 Adaptive Model Design for Markov Decision Process ICML 2022 X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation ECCV 2022 Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization CVPR 2021 ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis CVPR 2021 Wasserstein Flow Meets Replicator Dynamics: A Mean-Field Analysis of Representation Learning in Actor-Critic NIPS 2021