Region Graph Spectra as Geometric Global Image Features. - Qirong Ho; Weimiao Yu; Hwee Kuan Lee (ISVC (1), 2009)

Unified analysis of streaming news. - Amr Ahmed 001; Qirong Ho; Jacob Eisenstein; Eric P. Xing; Alexander J. Smola; Choon Hui Teo (WWW, 2011)

Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. - Amr Ahmed 001; Qirong Ho; Choon Hui Teo; Jacob Eisenstein; Alexander J. Smola; Eric P. Xing (AISTATS, 2011)

Multiscale Community Blockmodel for Network Exploration. - Qirong Ho; Ankur P. Parikh; Le Song; Eric P. Xing (AISTATS, 2011)

Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. - Qirong Ho; Le Song; Eric P. Xing (AISTATS, 2011)

On Triangular versus Edge Representations — Towards Scalable Modeling of Networks. - Qirong Ho; Junming Yin; Eric P. Xing (NIPS, 2012)

Document hierarchies from text and links. - Qirong Ho; Jacob Eisenstein; Eric P. Xing (WWW, 2012)

Understanding the Interaction between Interests, Conversations and Friendships in Facebook - Qirong Ho; Rong Yan; Rajat Raina; Eric P. Xing (CoRR, 2012)

Solving the Straggler Problem with Bounded Staleness. - James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Gregory R. Ganger; Garth Gibson; Kimberly Keeton; Eric P. Xing (HotOS, 2013)

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. - Qirong Ho; James Cipar; Henggang Cui; Seunghak Lee; Jin Kyu Kim; Phillip B. Gibbons; Garth A. Gibson; Gregory R. Ganger; Eric P. Xing (NIPS, 2013)

A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. - Junming Yin; Qirong Ho; Eric P. Xing (NIPS, 2013)

Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Structure-Aware Dynamic Scheduler for Parallel Machine Learning. - Seunghak Lee; Jin Kyu Kim; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2013)

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. - Jinliang Wei; Wei Dai 003; Abhimanu Kumar; Xun Zheng; Qirong Ho; Eric P. Xing (CoRR, 2013)

Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. - Abhimanu Kumar; Alex Beutel; Qirong Ho; Eric P. Xing (AISTATS, 2014)

Exploiting iterative-ness for parallel ML computations. - Henggang Cui; Alexey Tumanov; Jinliang Wei; Lianghong Xu; Wei Dai 003; Jesse Haber-Kucharsky; Qirong Ho; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2014)

Dependent nonparametric trees for dynamic hierarchical clustering. - Kumar Avinava Dubey; Qirong Ho; Sinead A. Williamson; Eric P. Xing (NIPS, 2014)

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (NIPS, 2014)

Modeling Citation Networks Using Latent Random Offsets. - Willie Neiswanger; Chong Wang 002; Qirong Ho; Eric P. Xing (UAI, 2014)

Exploiting Bounded Staleness to Speed Up Big Data Analytics. - Henggang Cui; James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Abhimanu Kumar; Jinliang Wei; Wei Dai 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

Primitives for Dynamic Big Model Parallelism. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2014)

LightLDA: Big Topic Models on Modest Compute Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric P. Xing; Tie-Yan Liu; Wei-Ying Ma (CoRR, 2014)

Model-Parallel Inference for Big Topic Models. - Xun Zheng; Jin Kyu Kim; Qirong Ho; Eric P. Xing (CoRR, 2014)

Analyzing Time-Evolving Networks. - Qirong Ho; Eric P. Xing (Handbook of Mixed Membership Models and Their Applications, 2014)

High-Performance Distributed ML at Scale through Parameter Server Consistency Models. - Wei Dai 003; Abhimanu Kumar; Jinliang Wei; Qirong Ho; Garth A. Gibson; Eric P. Xing (AAAI, 2015)

Managed communication and consistency for fast data-parallel iterative analytics. - Jinliang Wei; Wei Dai 003; Aurick Qiao; Qirong Ho; Henggang Cui; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (SoCC, 2015)

Large-scale Distributed Dependent Nonparametric Trees. - Zhiting Hu; Qirong Ho; Avinava Dubey; Eric P. Xing (ICML, 2015)

LightLDA: Big Topic Models on Modest Computer Clusters. - Jinhui Yuan; Fei Gao 018; Qirong Ho; Wei Dai 003; Jinliang Wei; Xun Zheng; Eric Poe Xing; Tie-Yan Liu; Wei-Ying Ma (WWW, 2015)

Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (CoRR, 2015)

Strategies and Principles of Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Pengtao Xie; Wei Dai 003 (CoRR, 2015)

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. - Hao Zhang 025; Zhiting Hu; Jinliang Wei; Pengtao Xie; Gunhee Kim; Qirong Ho; Eric P. Xing (CoRR, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data. - Qirong Ho; Wenqing Lin; Eran Shaham; Shonali Krishnaswamy; The Anh Dang; Jingxuan Wang; Isabel Choo Zhongyan; Amy She-Nash (CIKM, 2016)

STRADS: a distributed framework for scheduled model parallel machine learning. - Jin Kyu Kim; Qirong Ho; Seunghak Lee; Xun Zheng; Wei Dai 003; Garth A. Gibson; Eric P. Xing (EuroSys, 2016)

SLR: A scalable latent role model for attribute completion and tie prediction in social networks. - Lizi Liao; Qirong Ho; Jing Jiang 001; Ee-Peng Lim (ICDE, 2016)

ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. - Ali Zonoozi; Qirong Ho; Shonali Krishnaswamy; Gao Cong (ICDM, 2016)

Scalable Time-Decaying Adaptive Prediction Algorithm. - Yinyan Tan; Zhe Fan; Guilin Li; Fangshan Wang; Zhengbing Li; Shikai Liu; Qiuling Pan; Eric P. Xing; Qirong Ho (KDD, 2016)

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (UAI, 2016)

Latent Space Inference of Internet-Scale Networks. - Qirong Ho; Junming Yin; Eric P. Xing (J. Mach. Learn. Res., 2016)

Big Data Management and Analytics for Mobile Crowd Sensing. - Tingting Chen 001; Fan Wu 006; Tony T. Luo; Mea Wang; Qirong Ho (Mob. Inf. Syst., 2016)

Distributed Multi-Task Relationship Learning. - Sulin Liu; Sinno Jialin Pan; Qirong Ho (KDD, 2017)

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. - Hao Zhang 025; Zeyu Zheng; Shizhen Xu; Wei Dai 003; Qirong Ho; Xiaodan Liang; Zhiting Hu; Jinliang Wei; Pengtao Xie; Eric P. Xing (USENIX ATC, 2017)

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. - Hao Zhang 025; Shizhen Xu; Graham Neubig; Wei Dai 003; Qirong Ho; Guangwen Yang; Eric P. Xing (CoRR, 2017)

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. - Pengtao Xie; Jin Kyu Kim; Qirong Ho; Yaoliang Yu; Eric P. Xing (SoCC, 2018)

Litz: Elastic Framework for High-Performance Distributed Machine Learning. - Aurick Qiao; Abutalib Aghayev; Weiren Yu; Haoyang Chen; Qirong Ho; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2018)

Cavs: An Efficient Runtime System for Dynamic Neural Networks. - Shizhen Xu; Hao Zhang 025; Graham Neubig; Wei Dai 003; Jin Kyu Kim; Zhijie Deng; Qirong Ho; Guangwen Yang; Eric P. Xing (USENIX ATC, 2018)

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Aurick Qiao; Willie Neiswanger; Qirong Ho; Hao Zhang 025; Gregory R. Ganger; Eric P. Xing (CoRR, 2020)

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. - Aurick Qiao; Sang Keun Choe; Suhas Jayaram Subramanya; Willie Neiswanger; Qirong Ho; Hao Zhang 025; Gregory R. Ganger; Eric P. Xing (OSDI, 2021)

Unsupervised Image-to-Image Translation with Density Changing Regularization. - Shaoan Xie; Qirong Ho; Kun Zhang 001 (NeurIPS, 2022)

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. - Chenxu Yang; Zheng Lin 001; Lanrui Wang; Chong Tian; Liang Pang; Jiangnan Li; Qirong Ho; Yanan Cao 001; Weiping Wang 005 (EMNLP, 2023)

On Optimizing the Communication of Model Parallelism. - Yonghao Zhuang 001; Lianmin Zheng; Zhuohan Li 001; Eric P. Xing; Qirong Ho; Joseph Gonzalez 001; Ion Stoica; Hao Zhang 025; Hexu Zhao (MLSys, 2023)

FedNAR: Federated Optimization with Normalized Annealing Regularization. - Junbo Li; Ang Li 005; Chong Tian; Qirong Ho; Eric P. Xing; Hongyi Wang 001 (NeurIPS, 2023)

ActionIE: Action Extraction from Scientific Literature with Programming Languages. - Xianrui Zhong; Yufeng Du; Siru Ouyang; Ming Zhong 005; Tingfeng Luo; Qirong Ho; Hao Peng 009; Heng Ji 001; Jiawei Han 001 (ACL (1), 2024)

A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation. - Chenxu Yang; Zheng Lin 001; Chong Tian; Liang Pang; Lanrui Wang; Zhengyang Tong; Qirong Ho; Yanan Cao 001; Weiping Wang 005 (CoRR, 2024)

Continual Learning of Nonlinear Independent Representations. - Boyang Sun; Ignavier Ng; Guangyi Chen 002; Yifan Shen 004; Qirong Ho; Kun Zhang 001 (CoRR, 2024)

Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness. - Abdelmajid Essofi; Ridwan Salahuddeen; Munachiso Nwadike; Elnura Zhalieva; Kun Zhang 001; Eric P. Xing; Willie Neiswanger; Qirong Ho (CoRR, 2024)

FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention. - Xiwei Liu; Min Xu; Qirong Ho (ISBI, 2025)

J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. - Xiwei Liu; Mohamad Kassab; Min Xu; Qirong Ho (WACV, 2025)

Hawkeye:Efficient Reasoning with Model Collaboration. - Jianshu She; Zhuohao Li; Zhemin Huang; Qi Li; Peiran Xu 002; Haonan Li; Qirong Ho (CoRR, 2025)

Token Level Routing Inference System for Edge Devices. - Jianshu She; Wenhao Zheng; Zhengzhong Liu 001; Hongyi Wang 001; Eric P. Xing; Huaxiu Yao; Qirong Ho (CoRR, 2025)

Learning in Chaos: Efficient Autoscaling and Self-healing for Distributed Training at the Edge. - Wenjiao Feng; Rongxing Xiao; Zonghang Li; Hongfang Yu; Gang Sun 001; Long Luo; Mohsen Guizani; Qirong Ho (CoRR, 2025)

How Does Controllability Emerge In Language Models During Pretraining? - Jianshu She; Xinyue Li; Eric P. Xing; Zhengzhong Liu 001; Qirong Ho (CoRR, 2025)