Joseph Gonzalez

104 papers A* 20A 11Misc 4Journal 49Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Arming Data Agents with Tribal Knowledge. CoRR Shubham Agarwal, Asim Biswal, Sepanta Zeighami, Alvin Cheung, Joseph Gonzalez, Aditya G. Parameswaran
2026	J	`jnl`	M CoRR Mayank Mishra, Shawn Tan, Ion Stoica, Joseph Gonzalez, Tri Dao
2026	A*	`conf`	Model AI Assignments 2026. AAAI Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar
2026	A	`conf`	Supporting Our AI Overlords: Redesigning Data Systems to be Agent-First. CIDR Shu Liu, Soujanya Ponnapalli, Shreya Shankar, Sepanta Zeighami, Alan Zhu, Shubham Agarwal, Ruiqi Chen, Samion Suwito, Shuo Yuan, Ion Stoica, Matei Zaharia, Alvin Cheung, Natacha Crooks, Joseph Gonzalez, Aditya G. Parameswaran
2025	J	`jnl`	Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live. CoRR Hanchen Li, Qiuyang Mang, Runyuan He, Qizheng Zhang, Huanzhi Mao, Xiaokun Chen, Alvin Cheung, Joseph Gonzalez, Ion Stoica
2025	A*	`conf`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. SOSP Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	Jenga: Effective Memory Management for Serving LLM with Heterogeneity. CoRR Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	Locality-aware Fair Scheduling in LLM Serving. CoRR Shiyi Cao, Yichuan Wang, Ziming Mao, Pin-Lun Hsu, Liangsheng Yin, Tian Xia, Dacheng Li, Shu Liu, Yineng Zhang, Yang Zhou, Ying Sheng, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	RedunCut: Measurement-Driven Sampling and Accuracy Performance Modeling for Low-Cost Live Video Analytics. CoRR Gur-Eyal Sela, Kumar Krishna Agrawal, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
2025	J	`jnl`	SkyStore: Cost-Optimized Object Storage Across Regions and Clouds. Proc. VLDB Endow. Shu Liu, Xiangxi Mo, Moshik Hershcovitch, Henric Zhang, Audrey Cheng, Guy Girmonsky, Gil Vernik, Michael Factor, Tiemo Bang, Soujanya Ponnapalli, Natacha Crooks, Joseph Gonzalez, Danny Harnik, Ion Stoica
2025	J	`jnl`	Towards Efficient and Practical GPU Multitasking in the Era of LLM. CoRR Jiarong Xing, Yifan Qiao, Simon Mo, Xingqi Cui, Gur-Eyal Sela, Yang Zhou, Joseph Gonzalez, Ion Stoica
2024	—	`conf`	ALOHa: A New Measure for Hallucination in Captioning Models. NAACL (Short Papers) Suzanne Petryk, David M. Chan, Anish Kachinthaya, Haodi Zou, John F. Canny, Joseph Gonzalez, Trevor Darrell
2024	J	`jnl`	CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting. CoRR Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph Gonzalez
2024	A*	`conf`	LLoCO: Learning Long Contexts Offline. EMNLP Sijun Tan, Xiuyu Li, Shishir G. Patil, Ziyang Wu, Tianjun Zhang, Kurt Keutzer, Joseph Gonzalez, Raluca A. Popa
2024	—	`conf`	SLoRA: Scalable Serving of Thousands of LoRA Adapters. MLSys Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica
2024	J	`jnl`	Specifications: The missing link to making the development of LLM systems an engineering discipline. CoRR Ion Stoica, Matei Zaharia, Joseph Gonzalez, Ken Goldberg, Koushik Sen, Hao Zhang, Anastasios Angelopoulos, Shishir G. Patil, Lingjiao Chen, Wei-Lin Chiang, Jared Quincy Davis
2023	A*	`conf`	CLAIR: Evaluating Image Captions with Large Language Models. EMNLP David M. Chan, Suzanne Petryk, Joseph Gonzalez, Trevor Darrell, John F. Canny
2023	A*	`conf`	Cilantro: Performance-Aware Resource Allocation for General Objectives via Online Feedback. OSDI Romil Bhardwaj, Kirthevasan Kandasamy, Asim Biswal, Wenshuo Guo, Benjamin Hindman, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2023	—	`conf`	Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein
2023	A*	`conf`	Efficient Memory Management for Large Language Model Serving with PagedAttention. SOSP Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng, Lianmin Zheng, Cody Hao Yu, Joseph Gonzalez, Hao Zhang, Ion Stoica
2023	A*	`conf`	FogROS2: An Adaptive Platform for Cloud and Fog Robotics Using ROS 2. ICRA Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Nikhil Jha, Hugo Zhan, Edith LLontop, Derek Xu, Camilo Buscaron, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg
2023	J	`jnl`	Multiversion Hindsight Logging for Continuous Training. CoRR Rolando Garcia, Anusha Dandamudi, Gabriel Matute, Lehan Wan, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen
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	—	`conf`	Context-Aware Streaming Perception in Dynamic Environments. ECCV (38) Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
2022	J	`jnl`	Context-Aware Streaming Perception in Dynamic Environments. CoRR Gur-Eyal Sela, Ionel Gog, Justin Wong, Kumar Krishna Agrawal, Xiangxi Mo, Sukrit Kalra, Peter Schafhalter, Eric Leong, Xin Wang, Bharathan Balaji, Joseph Gonzalez, Ion Stoica
2022	J	`jnl`	FogROS 2: An Adaptive and Extensible Platform for Cloud and Fog Robotics Using ROS 2. CoRR Jeffrey Ichnowski, Kaiyuan Chen, Karthik Dharmarajan, Simeon Adebola, Michael Danielczuk, Victor Mayoral Vilches, Hugo Zhan, Derek Xu, Ramtin Ghassemi, John Kubiatowicz, Ion Stoica, Joseph Gonzalez, Ken Goldberg
2022	—	`conf`	How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies. SIGCSE (1) Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo
2022	J	`jnl`	Kernel-as-a-Service: A Serverless Interface to GPUs. CoRR Nathan Pemberton, Anton Zabreyko, Zhoujie Ding, Randy H. Katz, Joseph Gonzalez
2022	A	`conf`	Learning Competitive Equilibria in Exchange Economies with Bandit Feedback. AISTATS Wenshuo Guo, Kirthevasan Kandasamy, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2022	A*	`conf`	Making Linear MDPs Practical via Contrastive Representation Learning. ICML Tianjun Zhang, Tongzheng Ren, Mengjiao Yang, Joseph Gonzalez, Dale Schuurmans, Bo Dai
2022	A*	`conf`	Neurotoxin: Durable Backdoors in Federated Learning. ICML Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Prateek Mittal, Kannan Ramchandran, Joseph Gonzalez
2022	A*	`conf`	On Guiding Visual Attention with Language Specification. CVPR Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
2022	J	`jnl`	On Guiding Visual Attention with Language Specification. CoRR Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach
2022	A*	`conf`	POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging. ICML Shishir G. Patil, Paras Jain, Prabal Dutta, Ion Stoica, Joseph Gonzalez
2022	J	`jnl`	Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed
2022	—	`conf`	Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. ECCV (36) Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
2022	J	`jnl`	Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly. CoRR Spencer Whitehead, Suzanne Petryk, Vedaad Shakib, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach
2022	J	`jnl`	The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. Computer David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2022	J	`jnl`	The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink. CoRR David A. Patterson, Joseph Gonzalez, Urs Hölzle, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2021	A*	`conf`	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez
2021	J	`jnl`	C5T5: Controllable Generation of Organic Molecules with Transformers. CoRR Daniel Rothchild, Alex Tamkin, Julie Yu, Ujval Misra, Joseph Gonzalez
2021	J	`jnl`	Carbon Emissions and Large Neural Network Training. CoRR David A. Patterson, Joseph Gonzalez, Quoc V. Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David R. So, Maud Texier, Jeff Dean
2021	—	`conf`	Contrastive Code Representation Learning. EMNLP (1) Paras Jain, Ajay Jain, Tianjun Zhang, Pieter Abbeel, Joseph Gonzalez, Ion Stoica
2021	J	`jnl`	Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System. Proc. VLDB Endow. Devin Petersohn, Dixin Tang, Rehan Sohail Durrani, Areg Melik-Adamyan, Joseph Gonzalez, Anthony D. Joseph, Aditya G. Parameswaran
2021	—	`conf`	FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CASE Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg
2021	J	`jnl`	FogROS: An Adaptive Framework for Automating Fog Robotics Deployment. CoRR Kaiyuan Chen, Yafei Liang, Nikhil Jha, Jeffrey Ichnowski, Michael Danielczuk, Joseph Gonzalez, John Kubiatowicz, Ken Goldberg
2021	—	`conf`	Grounded Graph Decoding improves Compositional Generalization in Question Answering. EMNLP (Findings) Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, Ion Stoica
2021	J	`jnl`	MADE: Exploration via Maximizing Deviation from Explored Regions. CoRR Tianjun Zhang, Paria Rashidinejad, Jiantao Jiao, Yuandong Tian, Joseph Gonzalez, Stuart Russell
2021	A*	`conf`	Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism. ICML Brijen Thananjeyan, Kirthevasan Kandasamy, Ion Stoica, Michael I. Jordan, Ken Goldberg, Joseph Gonzalez
2021	—	`conf`	TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers. NeurIPS Datasets and Benchmarks Lianmin Zheng, Ruochen Liu, Junru Shao, Tianqi Chen, Joseph Gonzalez, Ion Stoica, Ameer Haj-Ali
2021	—	`conf`	Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies. Robotics: Science and Systems Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Jeffrey Ichnowski, Ellen R. Novoseller, Minho Hwang, Michael Laskey, Joseph Gonzalez, Ken Goldberg
2021	A*	`conf`	Visual Transformers: Where Do Transformers Really Belong in Vision Models? ICCV Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda
2021	—	`conf`	sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica
2020	—	`conf`	Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization. MLSys Paras Jain, Ajay Jain, Aniruddha Nrusimha, Amir Gholami, Pieter Abbeel, Kurt Keutzer, Ion Stoica, Joseph Gonzalez
2020	J	`jnl`	Cloudburst: Stateful Functions-as-a-Service. Proc. VLDB Endow. Vikram Sreekanti, Chenggang Wu, Xiayue Charles Lin, Johann Schleier-Smith, Joseph Gonzalez, Joseph M. Hellerstein, Alexey Tumanov
2020	A*	`conf`	Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App. ICRA Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, Joseph Gonzalez, Ion Stoica, Ken Goldberg
2020	A*	`conf`	FetchSGD: Communication-Efficient Federated Learning with Sketching. ICML Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020	J	`jnl`	FetchSGD: Communication-Efficient Federated Learning with Sketching. CoRR Daniel Rothchild, Ashwinee Panda, Enayat Ullah, Nikita Ivkin, Ion Stoica, Vladimir Braverman, Joseph Gonzalez, Raman Arora
2020	A*	`conf`	Frustratingly Simple Few-Shot Object Detection. ICML Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu
2020	J	`jnl`	Hindsight Logging for Model Training. Proc. VLDB Endow. Rolando Garcia, Eric Liu, Vikram Sreekanti, Bobby Yan, Anusha Dandamudi, Joseph Gonzalez, Joseph M. Hellerstein, Koushik Sen
2020	J	`jnl`	HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. CoRR Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph Gonzalez, Ion Stoica, Alexey Tumanov
2020	—	`conf`	InferLine: latency-aware provisioning and scaling for prediction serving pipelines. SoCC Daniel Crankshaw, Gur-Eyal Sela, Xiangxi Mo, Corey Zumar, Ion Stoica, Joseph Gonzalez, Alexey Tumanov
2020	J	`jnl`	Letter from the Special Issue Editor. IEEE Data Eng. Bull. Joseph Gonzalez
2020	Misc	`conf`	Robust Class Parallelism - Error Resilient Parallel Inference with Low Communication Cost. ACSSC Yaoqing Yang, Jichan Chung, Guanhua Wang, Vipul Gupta, Adarsh Karnati, Kenan Jiang, Ion Stoica, Joseph Gonzalez, Kannan Ramchandran
2020	Misc	`conf`	Spatula: Efficient cross-camera video analytics on large camera networks. SEC Samvit Jain, Xun Zhang, Yuhao Zhou, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Paramvir Bahl, Joseph Gonzalez
2020	A	`conf`	Thompson Sampling for Linearly Constrained Bandits. AISTATS Vidit Saxena, Joakim Jaldén, Joseph Gonzalez
2020	J	`jnl`	Towards Scalable Dataframe Systems. Proc. VLDB Endow. Devin Petersohn, William W. Ma, Doris Jung Lin Lee, Stephen Macke, Doris Xin, Xiangxi Mo, Joseph Gonzalez, Joseph M. Hellerstein, Anthony D. Joseph, Aditya G. Parameswaran
2020	Misc	`conf`	Untangling Dense Knots by Learning Task-Relevant Keypoints. CoRL Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Jeffrey Ichnowski, Ashwin Balakrishna, Vainavi Viswanath, Michael Laskey, Joseph Gonzalez, Ken Goldberg
2019	A*	`conf`	ACE: Adapting to Changing Environments for Semantic Segmentation. ICCV Zuxuan Wu, Xin Wang, Joseph Gonzalez, Tom Goldstein, Larry Davis
2019	J	`jnl`	ANODEV2: A Coupled Neural ODE Evolution Framework. CoRR Tianjun Zhang, Zhewei Yao, Amir Gholami, Kurt Keutzer, Joseph Gonzalez, George Biros, Michael W. Mahoney
2019	J	`jnl`	Deep Reinforcement Learning in System Optimization. CoRR Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
2019	J	`jnl`	Domain-Aware Dynamic Networks. CoRR Tianyuan Zhang, Bichen Wu, Xin Wang, Joseph Gonzalez, Kurt Keutzer
2019	J	`jnl`	Dynamic Space-Time Scheduling for GPU Inference. CoRR Paras Jain, Xiangxi Mo, Ajay Jain, Harikaran Subbaraj, Rehan Sohail Durrani, Alexey Tumanov, Joseph Gonzalez, Ion Stoica
2019	Misc	`conf`	Scaling Video Analytics Systems to Large Camera Deployments. HotMobile Samvit Jain, Ganesh Ananthanarayanan, Junchen Jiang, Yuanchao Shu, Joseph Gonzalez
2019	A	`conf`	Serverless Computing: One Step Forward, Two Steps Back. CIDR Joseph M. Hellerstein, Jose M. Faleiro, Joseph Gonzalez, Johann Schleier-Smith, Vikram Sreekanti, Alexey Tumanov, Chenggang Wu
2018	J	`jnl`	Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. CoRR Samvit Jain, Xin Wang, Joseph Gonzalez
2018	J	`jnl`	On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent. CoRR Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez
2018	A*	`conf`	RLlib: Abstractions for Distributed Reinforcement Learning. ICML Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Ken Goldberg, Joseph Gonzalez, Michael I. Jordan, Ion Stoica
2018	J	`jnl`	ReXCam: Resource-Efficient, Cross-Camera Video Analytics at Enterprise Scale. CoRR Samvit Jain, Junchen Jiang, Yuanchao Shu, Ganesh Ananthanarayanan, Joseph Gonzalez
2018	J	`jnl`	Research for practice: prediction-serving systems. Commun. ACM Daniel Crankshaw, Joseph Gonzalez, Peter Bailis
2018	A*	`conf`	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CVPR Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2018	J	`jnl`	Unsupervised Domain Adaptation: from Simulation Engine to the RealWorld. CoRR Sicheng Zhao, Bichen Wu, Joseph Gonzalez, Sanjit A. Seshia, Kurt Keutzer
2017	J	`jnl`	Hemingway: Modeling Distributed Optimization Algorithms. CoRR Xinghao Pan, Shivaram Venkataraman, Zizheng Tai, Joseph Gonzalez
2017	A	`conf`	Random projection design for scalable implicit smoothing of randomly observed stochastic processes. AISTATS Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez
2017	J	`jnl`	Ray RLLib: A Composable and Scalable Reinforcement Learning Library. CoRR Eric Liang, Richard Liaw, Robert Nishihara, Philipp Moritz, Roy Fox, Joseph Gonzalez, Ken Goldberg, Ion Stoica
2017	J	`jnl`	Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions. CoRR Bichen Wu, Alvin Wan, Xiangyu Yue, Peter H. Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer
2016	J	`jnl`	Apache Spark: a unified engine for big data processing. Commun. ACM Matei Zaharia, Reynold S. Xin, Patrick Wendell, Tathagata Das, Michael Armbrust, Ankur Dave, Xiangrui Meng, Josh Rosen, Shivaram Venkataraman, Michael J. Franklin, Ali Ghodsi, Joseph Gonzalez, Scott Shenker, Ion Stoica
2016	—	`conf`	GraphFrames: an integrated API for mixing graph and relational queries. GRADES Ankur Dave, Alekh Jindal, Li Erran Li, Reynold Xin, Joseph Gonzalez, Matei Zaharia
2015	—	`conf`	Efficient data reduction for large-scale genetic mapping. BCB Veronika Strnadová-Neeley, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Leonid Oliker
2015	A	`conf`	Faster Jobs in Distributed Data Processing using Multi-Task Learning. SDM Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph Gonzalez, Randy H. Katz
2014	—	`conf`	Efficient and accurate clustering for large-scale genetic mapping. BIBM Veronika Strnadova, Aydin Buluç, Jarrod Chapman, John R. Gilbert, Joseph Gonzalez, Stefanie Jegelka, Daniel Rokhsar, Leonid Oliker
2014	—	`conf`	GABB Introduction. IPDPS Workshops Tim Mattson, David A. Bader, Aydin Buluç, John R. Gilbert, Joseph Gonzalez, Jeremy Kepner
2014	J	`jnl`	Standards for Graph Algorithm Primitives. CoRR Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen W. Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo
2013	—	`conf`	Standards for graph algorithm primitives. HPEC Tim Mattson, David A. Bader, Jonathan W. Berry, Aydin Buluç, Jack J. Dongarra, Christos Faloutsos, John Feo, John R. Gilbert, Joseph Gonzalez, Bruce Hendrickson, Jeremy Kepner, Charles E. Leiserson, Andrew Lumsdaine, David A. Padua, Stephen Poole, Steven P. Reinhardt, Mike Stonebraker, Steve Wallach, Andrew Yoo
2012	J	`jnl`	Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012	J	`jnl`	Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2012	J	`jnl`	Distributed Parallel Inference on Large Factor Graphs CoRR Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2012	A	`conf`	Scalable inference in latent variable models. WSDM Amr Ahmed, Mohamed Aly, Joseph Gonzalez, Shravan M. Narayanamurthy, Alexander J. Smola
2011	J	`jnl`	GraphLab: A Distributed Framework for Machine Learning in the Cloud CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
2011	A	`conf`	Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees. AISTATS Joseph Gonzalez, Yucheng Low, Arthur Gretton, Carlos Guestrin
2010	A	`conf`	GraphLab: A New Framework For Parallel Machine Learning. UAI Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2010	J	`jnl`	GraphLab: A New Framework for Parallel Machine Learning CoRR Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
2009	A	`conf`	Distributed Parallel Inference on Large Factor Graphs. UAI Joseph Gonzalez, Yucheng Low, Carlos Guestrin, David R. O'Hallaron
2009	A	`conf`	Residual Splash for Optimally Parallelizing Belief Propagation. AISTATS Joseph Gonzalez, Yucheng Low, Carlos Guestrin