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Siqi Wang

20 papers · 2019–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (13)
πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (48) 🐝 Cross-Pollinator (13) πŸ‘₯ Mega-Team (20) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (107) ⚑ Prolific Year (5)

Conferences

AAAI (7) NIPS (3) ACL (2) EMNLP (2) IJCAI (2) CVPR (1) ECCV (1) ICCV (1) MICCAI (1)

Papers

MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement AAAI 2026 Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models AAAI 2026 LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward AAAI 2026 RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning AAAI 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies ACL 2025 DyMAS-Net: Dynamic Multi-Scale Adaptive Sampling Network for Efficient Medical Image Segmentation MICCAI 2025 Exploring the Frontiers of Animation Video Generation in the Sora Era: Method, Dataset and Benchmark IJCAI 2025 Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement AAAI 2025 CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference EMNLP 2024 Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking ACL 2024 LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration ECCV 2024 Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models EMNLP 2024 CHAMMI: A benchmark for channel-adaptive models in microscopy imaging NIPS 2023 Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement CVPR 2022 LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout NIPS 2022 One-Pass Multi-View Clustering for Large-Scale Data ICCV 2021 Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification IJCAI 2020 Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios AAAI 2019 Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network NIPS 2019