Yuan Tian
52 papers · 2015–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (15) π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (8)
π
Cross-Pollinator
(8)
π
Renaissance Researcher
(11)
πΊοΈ
Taxonomy Completionist
(95)
π
Grand Slam
π€
Dynamic Duo
(10)
ποΈ
Keyword Collector
(242)
β
The Questioner
(2)
π
Century Club
(47)
π₯
Unstoppable
(6)
β‘
Prolific Year
(7)
Conferences
AAAI (8)
ACL (8)
EMNLP (8)
CVPR (5)
ICCV (4)
ECCV (3)
ICML (3)
NIPS (3)
ICLR (2)
IJCNLP (2)
NAACL (2)
AACL (1)
AISTATS (1)
COLING (1)
EACL (1)
Top co-authors
Research topics
Keywords
privacy policy
(5)
text classification
(4)
contrastive learning
(4)
large language model
(4)
metaphor detection
(3)
knowledge graph
(3)
multimodal large language model
(3)
language model
(2)
semi-supervised learning
(2)
poisoning attack
(2)
neural architecture
(2)
adversarial robustness
(2)
zero-shot learning
(2)
adversarial attack
(2)
intent classification
(2)
backdoor attack
(2)
domain adaptation
(2)
data poisoning
(2)
named entity recognition
(2)
data augmentation
(2)
Papers
GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation
AAAI 2026
FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models
ACL 2026
MedOmni-45Β°: A SafetyβPerformance Benchmark for Reasoning-Oriented LLMs in Medicine
AAAI 2026
SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models
AAAI 2026
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
Reconstruction-Guided Policy: Enhancing Decision-Making through Agent-Wise State Consistency
ICLR 2025
Medical Manifestation-Aware De-Identification
AAAI 2025
Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
CVPR 2025
Towards All-in-One Medical Image Re-Identification
CVPR 2025
Image Quality Assessment: From Human to Machine Preference
CVPR 2025
CGMatch: A Different Perspective of Semi-supervised Learning
CVPR 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples
EMNLP 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need
EMNLP 2025
Information Density Principle for MLLM Benchmarks
ICCV 2025
Semantic versus Identity: A Divide-and-Conquer Approach towards Adjustable Medical Image De-Identification
ICCV 2025
EIA: ENVIRONMENTAL INJECTION ATTACK ON GENERALIST WEB AGENTS FOR PRIVACY LEAKAGE
ICLR 2025
Selective Prompt Anchoring for Code Generation
ICML 2025
ImaRA: An Imaginative Frame Augmented Method for Low-Resource Multimodal Metaphor Detection and Explanation
NAACL 2025
An LLM-Enabled Knowledge Elicitation and Retrieval Framework for Zero-Shot Cross-Lingual Stance Identification
EMNLP 2024
GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
NIPS 2024
Bridging Word-Pair and Token-Level Metaphor Detection with Explainable Domain Mining
ACL 2024
Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression
ECCV 2024
A Theory Guided Scaffolding Instruction Framework for LLM-Enabled Metaphor Reasoning
NAACL 2024
Dynamic Routing Transformer Network for Multimodal Sarcasm Detection
ACL 2023
Modeling Conceptual Attribute Likeness and Domain Inconsistency for Metaphor Detection
EMNLP 2023
Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations
EMNLP 2023
Target-Oriented Relation Alignment for Cross-Lingual Stance Detection
ACL 2023
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English
ACL 2023
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
NIPS 2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
ACL 2023
Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression
ICCV 2023
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies
EACL 2023
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning
IJCNLP 2022
Towards Return Parity in Markov Decision Processes
AISTATS 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning
AACL 2022
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
EMNLP 2022
Conditional Supervised Contrastive Learning for Fair Text Classification
EMNLP 2022
Model-Targeted Poisoning Attacks with Provable Convergence
ICML 2021
Intent Classification and Slot Filling for Privacy Policies
IJCNLP 2021
Self-Conditioned Probabilistic Learning of Video Rescaling
ICCV 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
AAAI 2021
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation
AAAI 2021
Understanding and Mitigating Accuracy Disparity in Regression
ICML 2021
Intent Classification and Slot Filling for Privacy Policies
ACL 2021
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
ACL 2020
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation
NIPS 2020
Learning Signed Network Embedding via Graph Attention
AAAI 2020
PolicyQA: A Reading Comprehension Dataset for Privacy Policies
EMNLP 2020
Self-supervised Motion Representation via Scattering Local Motion Cues
ECCV 2020
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search
ECCV 2020
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction
COLING 2020
Background Subtraction via Generalized Fused Lasso Foreground Modeling
CVPR 2015