Qirong Ho - RankMe

76 papers A* 15A 10Journal 32Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos. CoRR Chong Tian, Yu Wang, Chenxu Yang, Junyi Guan, Zheng Lin, Yuhan Liu, Xiuying Chen, Qirong Ho
2026	J	`jnl`	LAPS: A Length-Aware-Prefill LLM Serving System. CoRR Jianshu She, Zonghang Li, Hongchao Du, Shangyu Wu, Wenhao Zheng, Eric Xing, Zhengzhong Liu, Huaxiu Yao, Jason Xue, Qirong Ho
2025	A*	`conf`	A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection. EMNLP Chong Tian, Qirong Ho, Xiuying Chen
2025	J	`jnl`	A Symbolic Adversarial Learning Framework for Evolving Fake News Generation and Detection. CoRR Chong Tian, Qirong Ho, Xiuying Chen
2025	—	`conf`	FIAS: Feature Imbalance-Aware Medical Image Segmentation with Dynamic Fusion and Mixing Attention. ISBI Xiwei Liu, Min Xu, Qirong Ho
2025	J	`jnl`	Hawkeye:Efficient Reasoning with Model Collaboration. CoRR Jianshu She, Zhuohao Li, Zhemin Huang, Qi Li, Peiran Xu, Haonan Li, Qirong Ho
2025	J	`jnl`	How Does Controllability Emerge In Language Models During Pretraining? CoRR Jianshu She, Xinyue Li, Eric P. Xing, Zhengzhong Liu, Qirong Ho
2025	A	`conf`	J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. WACV Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho
2025	J	`jnl`	Learning in Chaos: Efficient Autoscaling and Self-healing for Distributed Training at the Edge. CoRR Wenjiao Feng, Rongxing Xiao, Zonghang Li, Hongfang Yu, Gang Sun, Long Luo, Mohsen Guizani, Qirong Ho
2025	—	`conf`	Linear Steerability in Language Models: When It Emerges and How It Evolves. EMNLP (Findings) Jianshu She, Xinyue Li, Eric P. Xing, Zhengzhong Liu, Qirong Ho
2025	—	`conf`	Token Level Routing Inference System for Edge Devices. ACL (3) Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho
2025	J	`jnl`	Token Level Routing Inference System for Edge Devices. CoRR Jianshu She, Wenhao Zheng, Zhengzhong Liu, Hongyi Wang, Eric P. Xing, Huaxiu Yao, Qirong Ho
2024	J	`jnl`	A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation. CoRR Chenxu Yang, Zheng Lin, Chong Tian, Liang Pang, Lanrui Wang, Zhengyang Tong, Qirong Ho, Yanan Cao, Weiping Wang
2024	—	`conf`	ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
2024	J	`jnl`	Continual Learning of Nonlinear Independent Representations. CoRR Boyang Sun, Ignavier Ng, Guangyi Chen, Yifan Shen, Qirong Ho, Kun Zhang
2024	J	`jnl`	J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. CoRR Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho
2024	J	`jnl`	Reducing Hyperparameter Tuning Costs in ML, Vision and Language Model Training Pipelines via Memoization-Awareness. CoRR Abdelmajid Essofi, Ridwan Salahuddeen, Munachiso Nwadike, Elnura Zhalieva, Kun Zhang, Eric P. Xing, Willie Neiswanger, Qirong Ho
2023	A*	`conf`	FedNAR: Federated Optimization with Normalized Annealing Regularization. NeurIPS Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
2023	J	`jnl`	FedNAR: Federated Optimization with Normalized Annealing Regularization. CoRR Junbo Li, Ang Li, Chong Tian, Qirong Ho, Eric P. Xing, Hongyi Wang
2023	A*	`conf`	Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. EMNLP Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
2023	J	`jnl`	Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation. CoRR Chenxu Yang, Zheng Lin, Lanrui Wang, Chong Tian, Liang Pang, Jiangnan Li, Qirong Ho, Yanan Cao, Weiping Wang
2023	—	`conf`	On Optimizing the Communication of Model Parallelism. MLSys Yonghao Zhuang, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph Gonzalez, Ion Stoica, Hao Zhang, Hexu Zhao
2022	J	`jnl`	On Optimizing the Communication of Model Parallelism. CoRR Yonghao Zhuang, Hexu Zhao, Lianmin Zheng, Zhuohan Li, Eric P. Xing, Qirong Ho, Joseph E. Gonzalez, Ion Stoica, Hao Zhang
2022	A*	`conf`	Unsupervised Image-to-Image Translation with Density Changing Regularization. NeurIPS Shaoan Xie, Qirong Ho, Kun Zhang
2021	A*	`conf`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. OSDI Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2020	J	`jnl`	Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning. CoRR Aurick Qiao, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, Eric P. Xing
2018	—	`conf`	Cavs: An Efficient Runtime System for Dynamic Neural Networks. USENIX ATC Shizhen Xu, Hao Zhang, Graham Neubig, Wei Dai, Jin Kyu Kim, Zhijie Deng, Qirong Ho, Guangwen Yang, Eric P. Xing
2018	—	`conf`	Litz: Elastic Framework for High-Performance Distributed Machine Learning. USENIX ATC Aurick Qiao, Abutalib Aghayev, Weiren Yu, Haoyang Chen, Qirong Ho, Garth A. Gibson, Eric P. Xing
2018	—	`conf`	Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. SoCC Pengtao Xie, Jin Kyu Kim, Qirong Ho, Yaoliang Yu, Eric P. Xing
2017	J	`jnl`	Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks. CoRR Hao Zhang, Shizhen Xu, Graham Neubig, Wei Dai, Qirong Ho, Guangwen Yang, Eric P. Xing
2017	A*	`conf`	Distributed Multi-Task Relationship Learning. KDD Sulin Liu, Sinno Jialin Pan, Qirong Ho
2017	—	`conf`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017	J	`jnl`	Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2016	A	`conf`	A Distributed Graph Algorithm for Discovering Unique Behavioral Groups from Large-Scale Telco Data. CIKM Qirong Ho, Wenqing Lin, Eran Shaham, Shonali Krishnaswamy, The Anh Dang, Jingxuan Wang, Isabel Choo Zhongyan, Amy She-Nash
2016	J	`jnl`	Big Data Management and Analytics for Mobile Crowd Sensing. Mob. Inf. Syst. Tingting Chen, Fan Wu, Tony T. Luo, Mea Wang, Qirong Ho
2016	A*	`conf`	ConTrack: A Scalable Method for Tracking Multiple Concepts in Large Scale Multidimensional Data. ICDM Ali Zonoozi, Qirong Ho, Shonali Krishnaswamy, Gao Cong
2016	J	`jnl`	Distributed Multi-task Relationship Learning. CoRR Sulin Liu, Sinno Jialin Pan, Qirong Ho
2016	J	`jnl`	Latent Space Inference of Internet-Scale Networks. J. Mach. Learn. Res. Qirong Ho, Junming Yin, Eric P. Xing
2016	A	`conf`	Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. UAI Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2016	A*	`conf`	SLR: A scalable latent role model for attribute completion and tie prediction in social networks. ICDE Lizi Liao, Qirong Ho, Jing Jiang, Ee-Peng Lim
2016	A	`conf`	STRADS: a distributed framework for scheduled model parallel machine learning. EuroSys Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth A. Gibson, Eric P. Xing
2016	A*	`conf`	Scalable Time-Decaying Adaptive Prediction Algorithm. KDD Yinyan Tan, Zhe Fan, Guilin Li, Fangshan Wang, Zhengbing Li, Shikai Liu, Qiuling Pan, Eric P. Xing, Qirong Ho
2015	J	`jnl`	Distributed Machine Learning via Sufficient Factor Broadcasting. CoRR Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing
2015	A*	`conf`	High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2015	A*	`conf`	Large-scale Distributed Dependent Nonparametric Trees. ICML Zhiting Hu, Qirong Ho, Avinava Dubey, Eric P. Xing
2015	A*	`conf`	LightLDA: Big Topic Models on Modest Computer Clusters. WWW Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma
2015	—	`conf`	Managed communication and consistency for fast data-parallel iterative analytics. SoCC Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2015	A*	`conf`	Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015	J	`jnl`	Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
2015	J	`jnl`	Strategies and Principles of Distributed Machine Learning on Big Data. CoRR Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai
2014	—	`ch.`	Analyzing Time-Evolving Networks. Handbook of Mixed Membership Models and Their Applications Qirong Ho, Eric P. Xing
2014	—	`conf`	Dependent nonparametric trees for dynamic hierarchical clustering. NIPS Kumar Avinava Dubey, Qirong Ho, Sinead A. Williamson, Eric P. Xing
2014	—	`conf`	Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2014	—	`conf`	Exploiting iterative-ness for parallel ML computations. SoCC Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2014	A	`conf`	Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data. AISTATS Abhimanu Kumar, Alex Beutel, Qirong Ho, Eric P. Xing
2014	J	`jnl`	High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2014	J	`jnl`	LightLDA: Big Topic Models on Modest Compute Clusters. CoRR Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
2014	J	`jnl`	Model-Parallel Inference for Big Topic Models. CoRR Xun Zheng, Jin Kyu Kim, Qirong Ho, Eric P. Xing
2014	A	`conf`	Modeling Citation Networks Using Latent Random Offsets. UAI Willie Neiswanger, Chong Wang, Qirong Ho, Eric P. Xing
2014	—	`conf`	On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. NIPS Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
2014	J	`jnl`	Primitives for Dynamic Big Model Parallelism. CoRR Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth A. Gibson, Eric P. Xing
2013	—	`conf`	A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks. NIPS Junming Yin, Qirong Ho, Eric P. Xing
2013	J	`jnl`	Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
2013	—	`conf`	More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. NIPS Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Garth A. Gibson, Gregory R. Ganger, Eric P. Xing
2013	J	`jnl`	Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
2013	A	`conf`	Solving the Straggler Problem with Bounded Staleness. HotOS James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton, Eric P. Xing
2013	J	`jnl`	Structure-Aware Dynamic Scheduler for Parallel Machine Learning. CoRR Seunghak Lee, Jin Kyu Kim, Qirong Ho, Garth A. Gibson, Eric P. Xing
2012	A*	`conf`	Document hierarchies from text and links. WWW Qirong Ho, Jacob Eisenstein, Eric P. Xing
2012	—	`conf`	On Triangular versus Edge Representations --- Towards Scalable Modeling of Networks. NIPS Qirong Ho, Junming Yin, Eric P. Xing
2012	J	`jnl`	Understanding the Interaction between Interests, Conversations and Friendships in Facebook CoRR Qirong Ho, Rong Yan, Rajat Raina, Eric P. Xing
2011	A	`conf`	Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks. AISTATS Qirong Ho, Le Song, Eric P. Xing
2011	A	`conf`	Multiscale Community Blockmodel for Network Exploration. AISTATS Qirong Ho, Ankur P. Parikh, Le Song, Eric P. Xing
2011	A	`conf`	Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text. AISTATS Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alexander J. Smola, Eric P. Xing
2011	A*	`conf`	Unified analysis of streaming news. WWW Amr Ahmed, Qirong Ho, Jacob Eisenstein, Eric P. Xing, Alexander J. Smola, Choon Hui Teo
2009	—	`conf`	Region Graph Spectra as Geometric Global Image Features. ISVC (1) Qirong Ho, Weimiao Yu, Hwee Kuan Lee