Yong Dou

21 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird

🏃 Academic Marathon (9) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🗃️ Keyword Collector (105) 💎 Century Club (20) 🔥 Unstoppable (5) ⚡ Prolific Year (6)

Conferences

IJCAI (6) COLING (5) AAAI (3) EMNLP (2) CVPR (1) ICCV (1) ICML (1) MICCAI (1) NIPS (1)

Top co-authors

Zhen Huang (6) Peng Qiao (4) Rongchun Li (4) Xinwang Liu (3) Yueqing Wang (3) Kele Xu (3) Huaimin Wang (3) Dongsheng Li (2) Dulan Zhou (2) Feng Dawei (2)

Keywords

policy learning (2) class-incremental learning (2) knowledge graph reasoning (2) transformer architecture (2) catastrophic forgetting (2) multiple kernel clustering (2) contrastive learning (1) image classification (1) neural network compression (1) few-shot learning (1) self-attention mechanism (1) nonconvex optimization (1) spectral clustering (1) k-means clustering (1) metric learning (1) multi-agent reinforcement learning (1) relation extraction (1) knowledge distillation (1) named entity recognition (1) fact verification (1)

Papers

Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention AAAI 2026 Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning AAAI 2025 Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025 Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction COLING 2025 Knowledge Bridges the Intent Gap: Contextual Fusion in Medical Fine-Grained Segmentation MICCAI 2025 Improving the Continuity of Goal-Achievement Ability via Policy Self-Regularization for Goal-Conditioned Reinforcement Learning ICML 2025 Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning CVPR 2025 A New Pipeline for Knowledge Graph Reasoning Enhanced by Large Language Models Without Fine-Tuning EMNLP 2024 Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning EMNLP 2023 IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification COLING 2022 Heterogeneous Skill Learning for Multi-agent Tasks NIPS 2022 RSGT: Relational Structure Guided Temporal Relation Extraction COLING 2022 Adaptive Threshold Selective Self-Attention for Chinese NER COLING 2022 Argumentation Mining on Essays at Multi Scales COLING 2020 Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019 Accelerated Inference Framework of Sparse Neural Network Based on Nested Bitmask Structure IJCAI 2019 Towards Precise End-to-End Weakly Supervised Object Detection Network ICCV 2019 Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification IJCAI 2017 Multiple Kernel Clustering Framework with Improved Kernels IJCAI 2017 Approximate Large-scale Multiple Kernel k-means Using Deep Neural Network IJCAI 2017 Multiple Kernel Clustering with Local Kernel Alignment Maximization IJCAI 2016