Qirong Ho
19 papers · 2011–2025 · 7 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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πΊοΈ Taxonomy Completionist (54) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
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Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π€
Dynamic Duo
(10)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(135)
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Trend Setter
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Renaissance Researcher
(8)
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(9)
Deep Learning
(9)
Optimization & Theory
(9)
Core Methods
(7)
Learning Types Β· Machine Learning
(7)
Core AI
(6)
Computer Science
(5)
Bayesian & Probabilistic Β· Machine Learning
(5)
Application Areas
(4)
Systems
(4)
Data Science & Analytics
(3)
Mathematics & Optimization
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Learning Types Β· Deep Learning
(3)
Keywords
latent space model
(4)
distributed learning
(4)
large language model
(3)
network analysis
(2)
nonparametric bayesian
(2)
approximate inference
(2)
distributed machine learning
(2)
scalable inference
(2)
stochastic optimization
(2)
model compression
(2)
community detection
(2)
triangular motifs
(2)
stochastic variational inference
(2)
probabilistic modeling
(1)
contrastive learning
(1)
online learning
(1)
representation learning
(1)
federated learning
(1)
bayesian nonparametrics
(1)
density estimation
(1)
Papers
A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection
EMNLP 2025
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
WACV 2025
Linear Steerability in Language Models: When It Emerges and How It Evolves
EMNLP 2025
Token Level Routing Inference System for Edge Devices
ACL 2025
ActionIE: Action Extraction from Scientific Literature with Programming Languages
ACL 2024
FedNAR: Federated Optimization with Normalized Annealing Regularization
NeurIPS 2023
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
EMNLP 2023
Unsupervised Image-to-Image Translation with Density Changing Regularization
NeurIPS 2022
Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning
OSDI 2021
Latent Space Inference of Internet-Scale Networks
JMLR 2016
Dependent nonparametric trees for dynamic hierarchical clustering
NeurIPS 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data
AISTATS 2014
On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
NeurIPS 2014
A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
NeurIPS 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
NeurIPS 2013
On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks
NeurIPS 2012
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
AISTATS 2011
Multiscale Community Blockmodel for Network Exploration
AISTATS 2011
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
AISTATS 2011