Joseph E. Gonzalez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
89
Venues
28
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*ICLR14 papers
- A*CVPR9 papers
- A*ICRA8 papers
- NationalNSDI6 papers
- A*OSDI6 papers
- AEuroSys5 papers
- A*ICML5 papers
- ACIDR3 papers
- A*ECCV3 papers
- AIROS3 papers
- AUAI3 papers
- UnrankedCoRL3 papers
- BCLOUD3 papers
- A*EMNLP2 papers
- A*ICCV2 papers
- AWACV2 papers
- A*AAAI1 paper
- A*ASPLOS1 paper
- CASRU1 paper
- A*KDD1 paper
- ADATE1 paper
- AHotOS1 paper
- CWAFR1 paper
- A*SIGCOMM1 paper
- A*SP1 paper
- A*WWW1 paper
- A*ICDM1 paper
- A*SIGMOD1 paper
Papers
89 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DS SERVE: A Framework for Efficient and Scalable Neural Retrieval. | Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min |
| 2026 | EuroSys | Efficient ML Model Updates for Deeply Embedded Microcontrollers. | Shishir G. Patil, Sam Kumar, Prabal Dutta, Joseph E. Gonzalez |
| 2026 | NSDI | Agentix: An Efficient Serving Engine for LLM Agents as General Programs. | Michael Luo, Xiaoxiang Shi, Colin Cai, Tianjun Zhang, Justin Wong, Yichuan Wang, Chi Wang, Yanping Huang, Zhifeng Chen, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ASPLOS | MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs. | Shiyi Cao, Shu Liu, Tyler Griggs, Peter Schafhalter, Xiaoxuan Liu, Ying Sheng, Joseph E. Gonzalez, Matei Zaharia, Ion Stoica |
| 2025 | ASRU | CLAIRA: Leveraging Large Language Models to Judge Audio Captions. | Tsung-Han Wu, Joseph E. Gonzalez, Trevor Darrell, David M. Chan |
| 2025 | CIDR | Text2SQL is Not Enough: Unifying AI and Databases with TAG. | Asim Biswal, Siddharth Jha, Carlos Guestrin, Matei Zaharia, Joseph E. Gonzalez, Amog Kamsetty, Shu Liu, Liana Patel |
| 2025 | CVPR | VisionArena: 230k Real World User-VLM Conversations with Preference Labels. | Christopher Chou, Lisa Dunlap, Koki Mashita, Krishna Mandal, Trevor Darrell, Ion Stoica, Joseph E. Gonzalez, Wei-Lin Chiang |
| 2025 | EMNLP | S*: Test Time Scaling for Code Generation. | Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica |
| 2025 | EMNLP | Language Models Can Easily Learn to Reason from Demonstrations. | Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Eric Tang, Sumanth Hegde, Kourosh Hakhamaneshi, Shishir G. Patil, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ICCV | Discovering Divergent Representations Between Text-To-Image Models. | Lisa Dunlap, Joseph E. Gonzalez, Trevor Darrell, Fabian Caba Heilbron, Josef Sivic, Bryan C. Russell |
| 2025 | ICLR | SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction. | Ling Yang, Zhaochen Yu, Tianjun Zhang, Minkai Xu, Joseph E. Gonzalez, Bin Cui, Shuicheng Yan |
| 2025 | ICLR | VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models. | Lisa Dunlap, Krishna Mandal, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez |
| 2025 | ICLR | How to Evaluate Reward Models for RLHF. | Evan Frick, Tianle Li, Connor Chen, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Jiantao Jiao, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ICLR | RouteLLM: Learning to Route LLMs from Preference Data. | Isaac Ong, Amjad Almahairi, Vincent Wu, Wei-Lin Chiang, Tianhao Wu, Joseph E. Gonzalez, M. Waleed Kadous, Ion Stoica |
| 2025 | ICLR | Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark. | Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David M. Chan |
| 2025 | ICML | HashAttention: Semantic Sparsity for Faster Inference. | Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ICML | From Crowdsourced Data to High-quality Benchmarks: Arena-Hard and Benchbuilder Pipeline. | Tianle Li, Wei-Lin Chiang, Evan Frick, Lisa Dunlap, Tianhao Wu, Banghua Zhu, Joseph E. Gonzalez, Ion Stoica |
| 2025 | ICML | The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models. | Shishir G. Patil, Huanzhi Mao, Fanjia Yan, Charlie Cheng-Jie Ji, Vishnu Suresh, Ion Stoica, Joseph E. Gonzalez |
| 2024 | CVPR | Describing Differences in Image Sets with Natural Language. | Lisa Dunlap, Yuhui Zhang, Xiaohan Wang, Ruiqi Zhong, Trevor Darrell, Jacob Steinhardt, Joseph E. Gonzalez, Serena Yeung-Levy |
| 2024 | CVPR | See, Say, and Segment: Teaching LMMs to Overcome False Premises. | Tsung-Han Wu, Giscard Biamby, David M. Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell |
| 2024 | CVPR | Self-Correcting LLM-Controlled Diffusion Models. | Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell |
| 2024 | ECCV | CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. | Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez |
| 2024 | ICLR | LLM-Assisted Code Cleaning For Training Accurate Code Generators. | Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen, Ion Stoica |
| 2024 | ICLR | LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. | Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Hao Zhang |
| 2024 | ICML | Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. | Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, Anastasios Nikolas Angelopoulos, Tianle Li, Dacheng Li, Banghua Zhu, Hao Zhang, Michael I. Jordan, Joseph E. Gonzalez, Ion Stoica |
| 2024 | NSDI | Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud. | Sarah Wooders, Shu Liu, Paras Jain, Xiangxi Mo, Joseph E. Gonzalez, Vincent Liu, Ion Stoica |
| 2024 | OSDI | Fairness in Serving Large Language Models. | Ying Sheng, Shiyi Cao, Dacheng Li, Banghua Zhu, Zhuohan Li, Danyang Zhuo, Joseph E. Gonzalez, Ion Stoica |
| 2024 | WACV | Simple Token-Level Confidence Improves Caption Correctness. | Suzanne Petryk, Spencer Whitehead, Joseph E. Gonzalez, Trevor Darrell, Anna Rohrbach, Marcus Rohrbach |
| 2024 | WACV | Multitask Vision-Language Prompt Tuning. | Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell |
| 2023 | ICLR | Using Language to Extend to Unseen Domains. | Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach |
| 2023 | ICLR | Spectral Decomposition Representation for Reinforcement Learning. | Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai |
| 2023 | ICLR | TEMPERA: Test-Time Prompt Editing via Reinforcement Learning. | Tianjun Zhang, Xuezhi Wang, Denny Zhou, Dale Schuurmans, Joseph E. Gonzalez |
| 2023 | ICML | The Wisdom of Hindsight Makes Language Models Better Instruction Followers. | Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez |
| 2023 | IROS | Leveraging Cloud Computing to Make Autonomous Vehicles Safer. | Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica |
| 2023 | KDD | Test Accuracy vs. Generalization Gap: Model Selection in NLP without Accessing Training or Testing Data. | Yaoqing Yang, Ryan Theisen, Liam Hodgkinson, Joseph E. Gonzalez, Kannan Ramchandran, Charles H. Martin, Michael W. Mahoney |
| 2023 | NSDI | Skyplane: Optimizing Transfer Cost and Throughput Using Cloud-Aware Overlays. | Paras Jain, Sam Kumar, Sarah Wooders, Shishir G. Patil, Joseph E. Gonzalez, Ion Stoica |
| 2023 | OSDI | AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. | Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica |
| 2023 | UAI | Energy-based Predictive Representations for Partially Observed Reinforcement Learning. | Tianjun Zhang, Tongzheng Ren, Chenjun Xiao, Wenli Xiao, Joseph E. Gonzalez, Dale Schuurmans, Bo Dai |
| 2022 | CoRL | Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. | Charles Packer, Nicholas Rhinehart, Rowan Thomas McAllister, Matthew A. Wright, Xin Wang, Jeff He, Sergey Levine, Joseph E. Gonzalez |
| 2022 | DATE | Learning to Design Accurate Deep Learning Accelerators with Inaccurate Multipliers. | Paras Jain, Safeen Huda, Martin Maas, Joseph E. Gonzalez, Ion Stoica, Azalia Mirhoseini |
| 2022 | EuroSys | D3: a dynamic deadline-driven approach for building autonomous vehicles. | Ionel Gog, Sukrit Kalra, Peter Schafhalter, Joseph E. Gonzalez, Ion Stoica |
| 2022 | ICLR | Data Efficient Language-Supervised Zero-Shot Recognition with Optimal Transport Distillation. | Bichen Wu, Ruizhe Cheng, Peizhao Zhang, Tianren Gao, Joseph E. Gonzalez, Peter Vajda |
| 2022 | ICLR | C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks. | Tianjun Zhang, Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine, Joseph E. Gonzalez |
| 2022 | IROS | All You Need is LUV: Unsupervised Collection of Labeled Images Using UV-Fluorescent Markings. | Brijen Thananjeyan, Justin Kerr, Huang Huang, Joseph E. Gonzalez, Ken Goldberg |
| 2022 | OSDI | Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning. | Lianmin Zheng, Zhuohan Li, Hao Zhang, Yonghao Zhuang, Zhifeng Chen, Yanping Huang, Yida Wang, Yuanzhong Xu, Danyang Zhuo, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica |
| 2021 | CLOUD | Elastic Hyperparameter Tuning on the Cloud. | Lisa Dunlap, Kirthevasan Kandasamy, Ujval Misra, Richard Liaw, Michael I. Jordan, Ion Stoica, Joseph E. Gonzalez |
| 2021 | CoRL | LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks. | Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan, Joseph E. Gonzalez, Ken Goldberg |
| 2021 | CVPR | Data-Efficient Language-Supervised Zero-Shot Learning With Self-Distillation. | Ruizhe Cheng, Bichen Wu, Peizhao Zhang, Peter Vajda, Joseph E. Gonzalez |
| 2021 | CVPR | FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. | Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez |
| 2021 | EuroSys | RubberBand: cloud-based hyperparameter tuning. | Ujval Misra, Richard Liaw, Lisa Dunlap, Romil Bhardwaj, Kirthevasan Kandasamy, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2021 | HotOS | The RESTless cloud. | Nathan Pemberton, Johann Schleier-Smith, Joseph E. Gonzalez |
| 2021 | ICCV | Robust Object Detection via Instance-Level Temporal Cycle Confusion. | Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell |
| 2021 | ICLR | Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting. | Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E. Gonzalez, Marcus Rohrbach, Trevor Darrell |
| 2021 | ICLR | NBDT: Neural-Backed Decision Tree. | Alvin Wan, Lisa Dunlap, Daniel Ho, Jihan Yin, Scott Lee, Suzanne Petryk, Sarah Adel Bargal, Joseph E. Gonzalez |
| 2021 | ICRA | Serverless Multi-Query Motion Planning for Fog Robotics. | Raghav Anand, Jeffrey Ichnowski, Chenggang Wu, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg |
| 2021 | ICRA | Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics. | Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E. Gonzalez, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg |
| 2021 | ICRA | Pylot: A Modular Platform for Exploring Latency-Accuracy Tradeoffs in Autonomous Vehicles. | Ionel Gog, Sukrit Kalra, Peter Schafhalter, Matthew A. Wright, Joseph E. Gonzalez, Ion Stoica |
| 2021 | ICRA | Intermittent Visual Servoing: Efficiently Learning Policies Robust to Instrument Changes for High-precision Surgical Manipulation. | Samuel Paradis, Minho Hwang, Brijen Thananjeyan, Jeffrey Ichnowski, Daniel Seita, Danyal Fer, Thomas Low, Joseph E. Gonzalez, Ken Goldberg |
| 2021 | ICRA | Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models. | Nicholas Rhinehart, Jeff He, Charles Packer, Matthew A. Wright, Rowan McAllister, Joseph E. Gonzalez, Sergey Levine |
| 2021 | IROS | Disentangling Dense Multi-Cable Knots. | Vainavi Viswanath, Jennifer Grannen, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Ellen R. Novoseller, Jeffrey Ichnowski, Michael Laskey, Joseph E. Gonzalez, Ken Goldberg |
| 2021 | NSDI | TEGRA: Efficient Ad-Hoc Analytics on Evolving Graphs. | Anand Padmanabha Iyer, Qifan Pu, Kishan Patel, Joseph E. Gonzalez, Ion Stoica |
| 2021 | WAFR | ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions. | Brijen Thananjeyan, Ashwin Balakrishna, Ugo Rosolia, Joseph E. Gonzalez, Aaron D. Ames, Ken Goldberg |
| 2020 | CVPR | FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. | Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez |
| 2020 | EuroSys | Oblivious coopetitive analytics using hardware enclaves. | Ankur Dave, Chester Leung, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica |
| 2020 | EuroSys | A fault-tolerance shim for serverless computing. | Vikram Sreekanti, Chenggang Wu, Saurav Chhatrapati, Joseph E. Gonzalez, Joseph M. Hellerstein, Jose M. Faleiro |
| 2020 | ICRA | Fog Robotics Algorithms for Distributed Motion Planning Using Lambda Serverless Computing. | Jeffrey Ichnowski, William Lee, Victor Murta, Samuel Paradis, Ron Alterovitz, Joseph E. Gonzalez, Ion Stoica, Ken Goldberg |
| 2020 | ICRA | Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data. | Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E. Gonzalez, Ken Goldberg |
| 2020 | OSDI | Ansor: Generating High-Performance Tensor Programs for Deep Learning. | Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica |
| 2019 | CLOUD | HyperSched: Dynamic Resource Reallocation for Model Development on a Deadline. | Richard Liaw, Romil Bhardwaj, Lisa Dunlap, Yitian Zou, Joseph E. Gonzalez, Ion Stoica, Alexey Tumanov |
| 2019 | CoRL | On-Policy Robot Imitation Learning from a Converging Supervisor. | Ashwin Balakrishna, Brijen Thananjeyan, Jonathan Lee, Felix Li, Arsh Zahed, Joseph E. Gonzalez, Ken Goldberg |
| 2019 | CVPR | Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. | Samvit Jain, Xin Wang, Joseph E. Gonzalez |
| 2019 | CVPR | TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. | Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | ICRA | A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. | Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg |
| 2019 | UAI | Deep Mixture of Experts via Shallow Embedding. | Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez |
| 2019 | SIGCOMM | Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks. | Vidit Saxena, Joakim Jaldn, Joseph E. Gonzalez, Mats Bengtsson, Hugo M. Tullberg, Ion Stoica |
| 2019 | SP | Helen: Maliciously Secure Coopetitive Learning for Linear Models. | Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica |
| 2018 | ECCV | Fast Semantic Segmentation on Video Using Block Motion-Based Feature Interpolation. | Samvit Jain, Joseph E. Gonzalez |
| 2018 | ECCV | SkipNet: Learning Dynamic Routing in Convolutional Networks. | Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez |
| 2018 | UAI | IDK Cascades: Fast Deep Learning by Learning not to Overthink. | Xin Wang, Yujia Luo, Daniel Crankshaw, Alexey Tumanov, Fisher Yu, Joseph E. Gonzalez |
| 2017 | CIDR | Ground: A Data Context Service. | Joseph M. Hellerstein, Vikram Sreekanti, Joseph E. Gonzalez, James Dalton, Akon Dey, Sreyashi Nag, Krishna Ramachandran, Sudhanshu Arora, Arka Bhattacharyya, Shirshanka Das, Mark Donsky, Gabriel Fierro, Chang She, Carl Steinbach, Venkat Subramanian, Eric Sun |
| 2017 | CLOUD | Selecting the | Neeraja Jayant Yadwadkar, Bharath Hariharan, Joseph E. Gonzalez, Burton Smith, Randy H. Katz |
| 2017 | NSDI | Clipper: A Low-Latency Online Prediction Serving System. | Daniel Crankshaw, Xin Wang, Giulio Zhou, Michael J. Franklin, Joseph E. Gonzalez, Ion Stoica |
| 2017 | NSDI | Opaque: An Oblivious and Encrypted Distributed Analytics Platform. | Wenting Zheng, Ankur Dave, Jethro G. Beekman, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica |
| 2015 | CIDR | The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox. | Daniel Crankshaw, Peter Bailis, Joseph E. Gonzalez, Haoyuan Li, Zhao Zhang, Michael J. Franklin, Ali Ghodsi, Michael I. Jordan |
| 2014 | OSDI | GraphX: Graph Processing in a Distributed Dataflow Framework. | Joseph E. Gonzalez, Reynold S. Xin, Ankur Dave, Daniel Crankshaw, Michael J. Franklin, Ion Stoica |
| 2014 | WWW | From graphs to tables the design of scalable systems for graph analytics. | Joseph E. Gonzalez |
| 2013 | ICDM | MLI: An API for Distributed Machine Learning. | Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska |
| 2013 | SIGMOD | GraphX: a resilient distributed graph system on Spark. | Reynold S. Xin, Joseph E. Gonzalez, Michael J. Franklin, Ion Stoica |
| 2012 | OSDI | PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. | Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin |