Jiaxin Huang
18 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (9) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(43)
π
Grand Slam
π
Century Club
(16)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(81)
π₯
Unstoppable
(7)
Conferences
EMNLP (5)
AAAI (2)
ICCV (2)
ICLR (2)
NIPS (2)
ACL (1)
CVPR (1)
EACL (1)
ECCV (1)
ICML (1)
Top co-authors
Keywords
few-shot learning
(3)
language model
(2)
novel view synthesis
(2)
named entity recognition
(2)
data augmentation
(2)
text classification
(2)
neural radiance field
(2)
unlabeled datum
(2)
topic modeling
(1)
sentiment analysis
(1)
zero-shot learning
(1)
in-context learning
(1)
self-supervised learning
(1)
prototype learning
(1)
variational inference
(1)
depth estimation
(1)
autonomous driving
(1)
uncertainty quantification
(1)
monocular depth estimation
(1)
sentiment classification
(1)
Papers
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
EACL 2026
Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute
AAAI 2026
Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text
ACL 2025
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis
CVPR 2025
Vivid4D: Improving 4D Reconstruction from Monocular Video by Video Inpainting
ICCV 2025
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
ICLR 2025
Taming Overconfidence in LLMs: Reward Calibration in RLHF
ICLR 2025
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction
AAAI 2024
Efficient Depth-Guided Urban View Synthesis
ECCV 2024
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning
ICML 2023
Large Language Models Can Self-Improve
EMNLP 2023
VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis
ICCV 2023
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding
NIPS 2022
Few-Shot Named Entity Recognition: An Empirical Baseline Study
EMNLP 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
EMNLP 2021
Text Classification Using Label Names Only: A Language Model Self-Training Approach
EMNLP 2020
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding
EMNLP 2020
Spherical Text Embedding
NIPS 2019