Ke Jiang
8 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31) π£ Hot Topic Early Bird
π§¬
Topic Evolution
π
Renaissance Researcher
(6)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Core Methods
(4)
Optimization & Theory
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Core AI
(3)
Reinforcement Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Methods
(2)
Computer Vision
(1)
Keywords
small-variance asymptotics
(3)
topic modeling
(2)
bayesian nonparametrics
(2)
offline reinforcement learning
(2)
variational inference
(2)
clustering algorithm
(2)
knowledge distillation
(1)
k-means clustering
(1)
few-shot learning
(1)
latent dirichlet allocation
(1)
exponential family
(1)
image retrieval
(1)
density estimation
(1)
clustering
(1)
multimodal learning
(1)
preference optimization
(1)
bregman divergence
(1)
reproducing kernel hilbert space
(1)
sequence labeling
(1)
dirichlet process
(1)
Papers
Variational OOD State Correction for Offline Reinforcement Learning
AAAI 2026
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation
ACL 2025
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph
COLING 2024
Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning
NeurIPS 2023
Combinatorial Topic Models using Small-Variance Asymptotics
AISTATS 2017
Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval
CVPR 2015
Small-Variance Asymptotics for Hidden Markov Models
NeurIPS 2013
Small-Variance Asymptotics for Exponential Family Dirichlet Process Mixture Models
NeurIPS 2012