Hongyan Li
14 papers · 2018–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(33)
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(65)
π
Century Club
(14)
π
Trend Setter
Conferences
IJCAI (6)
ICLR (2)
AAAI (1)
ACL (1)
ACML (1)
EMNLP (1)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
diffusion model
(2)
electronic health record
(2)
knowledge graph
(2)
representation learning
(2)
knowledge distillation
(1)
domain adaptation
(1)
transfer learning
(1)
medical imaging
(1)
reinforcement learning
(1)
attention mechanism
(1)
video generation
(1)
data augmentation
(1)
prompt engineering
(1)
code generation
(1)
flow matching
(1)
multi-modal learning
(1)
cross-modal representation
(1)
time series prediction
(1)
time series
(1)
structure learning
(1)
Papers
T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models
IJCAI 2025
Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives
ACL 2025
CodeContests+: High-Quality Test Case Generation for Competitive Programming
EMNLP 2025
Preacher: Paper-to-Video Agentic System
ICCV 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
ICLR 2025
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
ICLR 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NIPS 2024
Hypergraph Structure Learning for Hypergraph Neural Networks
IJCAI 2022
TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data
IJCAI 2021
RDPD: Rich Data Helps Poor Data via Imitation
IJCAI 2019
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
AAAI 2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
IJCAI 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals
IJCAI 2019
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction
ACML 2018