Jie Gao
22 papers · 2017–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (5)
πΊοΈ
Taxonomy Completionist
(42)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Grand Slam
π
Conference Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(86)
π
Century Club
(22)
Conferences
AAAI (6)
EMNLP (3)
ICML (3)
INTERSPEECH (3)
ICLR (2)
MICCAI (2)
AISTATS (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
differential privacy
(2)
dimensionality reduction
(1)
keyword spotting
(1)
transfer learning
(1)
convex optimization
(1)
feature extraction
(1)
uncertainty quantification
(1)
weakly supervised learning
(1)
relation extraction
(1)
document-level extraction
(1)
speech recognition
(1)
named entity recognition
(1)
cross-modal learning
(1)
medical image segmentation
(1)
stochastic gradient descent
(1)
reinforcement learning from human feedback
(1)
markov chain monte carlo
(1)
u-net architecture
(1)
graph embedding
(1)
active learning
(1)
Papers
Mitigating Hallucinations in LM-Based TTS Models via Distribution Alignment Using GFlowNets
EMNLP 2025
From Noise to Nuance: Enriching Subjective Data Annotation through Qualitative Analysis
EMNLP 2025
Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification
MICCAI 2025
On the Price of Differential Privacy for Hierarchical Clustering
ICLR 2025
Randomized Dimensionality Reduction for Euclidean Maximization and Diversity Measures
ICML 2025
Approximating Metric Magnitude of Point Sets
AAAI 2025
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
AAAI 2025
Differentially Private Range Queries with Correlated Input Perturbation
AISTATS 2025
TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration
ICML 2025
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
NIPS 2024
Rolling-Unet: Revitalizing MLPβs Ability to Efficiently Extract Long-Distance Dependencies for Medical Image Segmentation
AAAI 2024
Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
AAAI 2024
SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation
MICCAI 2024
Optimally Improving Cooperative Learning in a Social Setting
ICML 2024
Integer Subspace Differential Privacy
AAAI 2023
Turbo your multi-modal classification with contrastive learning
INTERSPEECH 2023
EmRel: Joint Representation of Entities and Embedded Relations for Multi-triple Extraction
NAACL 2022
Subspace Differential Privacy
AAAI 2022
Streaming Chunk-Aware Multihead Attention for Online End-to-End Speech Recognition
INTERSPEECH 2020
Curvature Graph Network
ICLR 2020
Compact Feedforward Sequential Memory Networks for Small-footprint Keyword Spotting
INTERSPEECH 2018
Learning Translations via Matrix Completion
EMNLP 2017