Yu Tian

47 papers · 2013–2026 · 14 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🌍 Conference Polyglot (14) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)

🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) 🗺️ Taxonomy Completionist (85) ⚡ Prolific Year (8) 🚀 Conference Pioneer 🗃️ Keyword Collector (180) 📈 Trend Setter 🔥 Unstoppable (8) 💎 Century Club (40) ❓ The Questioner

Conferences

ICCV (8) AAAI (6) ACL (6) CVPR (6) ECCV (4) ICLR (4) COLING (3) EMNLP (2) IJCAI (2) WACV (2) JMLR (1) MICCAI (1) NAACL (1) NIPS (1)

Top co-authors

Gustavo Carneiro (8) Yuanhong Chen (7) Dimitris N. Metaxas (6) Yuyuan Liu (6) Guansong Pang (6) Fengbei Liu (5) Long Zhao (5) Mengyu Wang (5) Xi Peng (5) Jiawei Chen (4)

Research topics

Optimization (1)

Keywords

large language model (6) medical imaging (4) contrastive learning (4) semi-supervised learning (3) vision-language model (3) multimodal learning (3) representation learning (3) anomaly detection (2) out-of-distribution detection (2) multimodal representation (2) semantic segmentation (2) graph matching (2) multi-label classification (2) graph convolutional network (2) image generation (1) action recognition (1) zero-shot learning (1) few-shot learning (1) feature learning (1) catastrophic forgetting (1)

Papers

MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA AAAI 2026 DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing AAAI 2026 Safe-FedLLM: Delving into the Safety of Federated Large Language Models ACL 2026 Red Teaming Large Reasoning Models ACL 2026 Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance AAAI 2026 MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis ACL 2026 Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language Models ACL 2026 Curvature-based Clustering on Graphs JMLR 2025 Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis AAAI 2025 AI-generated Image Quality Assessment in Visual Communication AAAI 2025 TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos ACL 2025 Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level ACL 2025 Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness COLING 2025 VMAs: Video-to-Music Generation via Semantic Alignment in Web Music Videos WACV 2025 AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs NAACL 2025 Fairness-Aware vCDR-Controlled Generation for Glaucoma Diagnosis MICCAI 2025 AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024 Rethinking the Reversal Curse of LLMs: a Prescription from Human Knowledge Reversal EMNLP 2024 FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification ECCV 2024 FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling ICLR 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024 Semantic Role Labeling Guided Out-of-distribution Detection COLING 2024 Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? ICCV 2023 Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens CVPR 2023 BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification ICCV 2023 Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning ICCV 2023 Learning Support and Trivial Prototypes for Interpretable Image Classification ICCV 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023 HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention ICLR 2023 Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022 Hypertron: Explicit Social-Temporal Hypergraph Framework for Multi-Agent Forecasting IJCAI 2022 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022 Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes ECCV 2022 Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning ECCV 2022 Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation CVPR 2022 ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification CVPR 2022 Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding COLING 2022 Dual Projection Generative Adversarial Networks for Conditional Image Generation ICCV 2021 Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021 A Good Image Generator Is What You Need for High-Resolution Video Synthesis ICLR 2021 Continual Learning Long Short Term Memory EMNLP 2020 Rethinking Kernel Methods for Node Representation Learning on Graphs NIPS 2019 Semantic Graph Convolutional Networks for 3D Human Pose Regression CVPR 2019 CR-GAN: Learning Complete Representations for Multi-view Generation IJCAI 2018 Learning to Forecast and Refine Residual Motion for Image-to-Video Generation ECCV 2018 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013