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← Authors

Qirong Ho

19 papers · 2011–2025 · 7 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (4) 🀝 Dynamic Duo (10) πŸ—ƒοΈ Keyword Collector (129) πŸ“ˆ Trend Setter πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (5)

Conferences

NIPS (7) AISTATS (4) EMNLP (3) ACL (2) JMLR (1) OSDI (1) WACV (1)

Top co-authors

Eric P. Xing (10) Eric Xing (4) Eric P Xing (4) Chong Tian (3) Junming Yin (3) Hongyi Wang (2) Jianshu She (2) Seunghak Lee (2) Le Song (2) Garth A Gibson (2)

Research topics

Deep Learning (1)

Keywords

distributed learning (4) latent space model (4) large language model (3) approximate inference (2) nonparametric bayesian (2) model compression (2) stochastic optimization (2) stochastic variational inference (2) community detection (2) distributed machine learning (2) scalable inference (2) network analysis (2) probabilistic modeling (1) contrastive learning (1) online learning (1) representation learning (1) federated learning (1) bayesian nonparametrics (1) density estimation (1) adversarial learning (1)

Papers

Linear Steerability in Language Models: When It Emerges and How It Evolves EMNLP 2025 Token Level Routing Inference System for Edge Devices ACL 2025 J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume WACV 2025 A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection EMNLP 2025 ActionIE: Action Extraction from Scientific Literature with Programming Languages ACL 2024 FedNAR: Federated Optimization with Normalized Annealing Regularization NIPS 2023 Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023 Unsupervised Image-to-Image Translation with Density Changing Regularization NIPS 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 NIPS 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 NIPS 2014 More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2013 A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks NIPS 2013 On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks NIPS 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