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← Authors

Yuchen Zhou

12 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🧭 Keyword Pioneer 🐝 Cross-Pollinator (9) 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (7) 🌈 Renaissance Researcher (8)
🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (26) 🧬 Topic Evolution πŸ† Grand Slam πŸ’Ž Century Club (10) πŸ—ƒοΈ Keyword Collector (54) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AAAI (2) NIPS (2) ACL (1) CVPR (1) EMNLP (1) ICCV (1) ICLR (1) ICML (1) IJCAI (1) IJCNLP (1)

Top co-authors

Chao Gou (3) Shuo Yang (2) Jiayu Tang (2) Xiaoyan Xiao (2) Yanan Cao (2) Yuqin Dai (2) Zheng Fang (2) Xiaobo Xia (2) Linkai Liu (2) Fang Fang (2)

Research topics

Reinforcement Learning (1)

Keywords

imbalanced classification (2) vision-language model (2) weighted cross-entropy (2) zero-shot learning (2) extractive summarization (2) human perception (1) visual perception (1) reinforcement learning (1) semantic parsing (1) audio source separation (1) multimodal learning (1) autonomous driving (1) explainable ai (1) human-object interaction (1) adversarial learning (1) matrix approximation (1) rademacher complexity (1) weakly supervised learning (1) gaze prediction (1) low-rank approximation (1)

Papers

Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models AAAI 2026 Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning AAAI 2026 Point-SAM: Promptable 3D Segmentation Model for Point Clouds ICLR 2025 Where, What, Why: Towards Explainable Driver Attention Prediction ICCV 2025 Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition CVPR 2024 Divergences between Language Models and Human Brains NIPS 2024 Grounding Visual Illusions in Language: Do Vision-Language Models Perceive Illusions Like Humans? EMNLP 2023 Deep Differential Amplifier for Extractive Summarization IJCNLP 2021 Deep Differential Amplifier for Extractive Summarization ACL 2021 Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation NIPS 2019 Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018 Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning IJCAI 2018