Kai Zou

19 papers · 2019–2026 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (45) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 👥 Mega-Team · Squad

🧬 Topic Evolution 🗃️ Keyword Collector (97) 🔥 Unstoppable · Bronze ❓ The Questioner ⚡ Prolific Year · Productive 🌈 Renaissance Researcher (5) 💎 Century Club · Bronze

Venues

EMNLP (6) AAAI (3) CVPR (3) ACL (2) ICML (2) NeurIPS (2) ECCV (1)

Top co-authors

Yu Cheng (4) Wenhu Chen (4) Ping Nie (4) Pan Zhou (3) Shan Zhang (2) Anton van den Hengel (2) Siqi Sun (2) Aotian Chen (2) Daizong Liu (2) Hongbo Liu (2)

Research topics

Machine Learning (12) Artificial Intelligence (10) Deep Learning (10) Core AI (10) Learning Types · Deep Learning (8) Computer Vision (6) Natural Language Processing (5) Application Areas (5) Learning Types · Machine Learning (5) Core Methods (4) Applications (3) Architectures (3) Models (3) Processing (3) Healthcare & Medicine (2)

Keywords

large language model (3) data augmentation (3) unsupervised learning (3) vision transformer (2) video understanding (2) instruction tuning (2) action recognition (1) multi-task learning (1) reinforcement learning (1) mathematical reasoning (1) attention mechanism (1) knowledge transfer (1) text-to-image synthesis (1) text summarization (1) text classification (1) multimodal learning (1) information retrieval (1) neural network security (1) question answering (1) grammatical error correction (1)

Papers

BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents ACL 2026 EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding AAAI 2026 Hierarchical Process Reward Models are Symbolic Vision Learners CVPR 2026 Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark ACL 2026 NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training CVPR 2025 PriFold: Biological Priors Improve RNA Secondary Structure Predictions AAAI 2025 Primitive Vision: Improving Diagram Understanding in MLLMs ICML 2025 Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing ICML 2025 Unleashing the Reasoning Potential of LLMs by Critique Fine-Tuning on One Problem EMNLP 2025 VisCoder: Fine-Tuning LLMs for Executable Python Visualization Code Generation EMNLP 2025 VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search EMNLP 2025 FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion ECCV 2024 Virtual Scanning: Unsupervised Non-line-of-sight Imaging from Irregularly Undersampled Transients NeurIPS 2024 Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding EMNLP 2023 Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks EMNLP 2023 You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? CVPR 2023 M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design NeurIPS 2022 Unsupervised Temporal Video Grounding with Deep Semantic Clustering AAAI 2022 EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks EMNLP 2019