Jiaxiang Liu
30 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (12) π§ Keyword Pioneer π Academic Marathon (6) π Conference Polyglot (13) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(50)
π§
Keyword Pioneer
π
Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(15)
β‘
Prolific Year
(9)
π
Century Club
(29)
ποΈ
Keyword Collector
(128)
Conferences
SEMEVAL (6)
AAAI (4)
COLING (4)
ACL (3)
CVPR (2)
EMNLP (2)
IJCNLP (2)
MICCAI (2)
ICLR (1)
IJCAI (1)
NAACL (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
pre-trained language model
(7)
multimodal learning
(4)
zero-shot learning
(4)
transfer learning
(3)
focal loss
(3)
diffusion model
(3)
propaganda classification
(3)
knowledge distillation
(3)
large language model
(3)
ensemble learning
(3)
humor detection
(3)
medical imaging
(2)
multilingual model
(2)
multi-task learning
(2)
text classification
(2)
medical visual question answering
(2)
mixture of expert
(2)
adversarial training
(2)
sentiment classification
(2)
language model
(2)
Papers
Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation
AAAI 2026
Simplifying Control Mechanism in Text-to-Image Diffusion Models
AAAI 2025
KPL: Training-Free Medical Knowledge Mining of Vision-Language Models
AAAI 2025
Capability Localization: Capabilities Can be Localized rather than Individual Knowledge
ICLR 2025
Know-MRI: A Knowledge Mechanisms Revealer&Interpreter for Large Language Models
ACL 2025
Leveraging Pretrained Diffusion Models for Zero-Shot Part Assembly
IJCAI 2025
Fair-MoE: Medical Fairness-Oriented Mixture of Experts in Vision-Language Models
MICCAI 2025
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
MICCAI 2025
MedThink: A Rationale-Guided Framework for Explaining Medical Visual Question Answering
NAACL 2025
PVP: Polar Representation Boost for 3D Semantic Occupancy Prediction
WACV 2025
Reasons and Solutions for the Decline in Model Performance after Editing
NIPS 2024
Named Entity Driven Zero-Shot Image Manipulation
CVPR 2024
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers
AAAI 2024
MedCoT: Medical Chain of Thought via Hierarchical Expert
EMNLP 2024
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis
EMNLP 2024
ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
CVPR 2023
abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense
ACL 2021
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
IJCNLP 2021
abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense
IJCNLP 2021
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
SEMEVAL 2021
abcbpc at SemEval-2021 Task 7: ERNIE-based Multi-task Model for Detecting and Rating Humor and Offense
SEMEVAL 2021
Alpha at SemEval-2021 Task 6: Transformer Based Propaganda Classification
ACL 2021
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
COLING 2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
SEMEVAL 2020
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
SEMEVAL 2020
PGL at TextGraphs 2020 Shared Task: Explanation Regeneration using Language and Graph Learning Methods
COLING 2020
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models
SEMEVAL 2020
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification
COLING 2020
Galileo at SemEval-2020 Task 12: Multi-lingual Learning for Offensive Language Identification Using Pre-trained Language Models
COLING 2020
OleNet at SemEval-2019 Task 9: BERT based Multi-Perspective Models for Suggestion Mining
SEMEVAL 2019