Yifan Jin

6 papers · 2022–2026 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16)

Venues

AAAI (3) ACL (1) COLING (1) ICLR (1)

Top co-authors

Jiangmeng Li (5) Changwen Zheng (4) Fuchun Sun (2) Wenwen Qiang (2) Hang Gao (2) Huaping Liu (1) Hui Xiong (1) Chengbo Jiao (1) Binbin Du (1) Zheng Lian (1)

Research topics

Deep Learning (5) Machine Learning (4) Architectures (4) Learning Types (4) Natural Language Processing (3) Artificial Intelligence (2) Applications (2) Core AI (2) Core Methods (2) Healthcare & Medicine (1) Speech & Audio (1) Application Areas (1) Clinical (1) Models (1) Recognition (1)

Keywords

large language model (2) graph neural network (2) graph representation (2) few-shot learning (1) domain adaptation (1) knowledge distillation (1) neural machine translation (1) syntactic parsing (1) automatic speech recognition (1) model ensemble (1) uncertainty estimation (1) prompt tuning (1) minimum bayes risk (1) causal explanation (1) graph convolutional network (1) graph contrastive learning (1) synthetic dataset (1) causal learning (1) speech translation (1) minimum bayes risk decoding (1)

Papers

HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning AAAI 2026 NYA’s Offline Speech Translation System for IWSLT 2025 ACL 2025 BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction ICLR 2024 Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning AAAI 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest COLING 2022