Zhihao Jia - RankMe

106 papers A* 24A 3B 2Misc 4Journal 55Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative Decoding. EuroSys Zikun Li, Zhuofu Chen, Remi Delacourt, Gabriele Oliaro, Zeyu Wang, Qinghan Chen, Shuhuai Lin, April Yang, Zhihao Zhang, Zhuoming Chen, Yi-Hsiang Lai, Xinhao Cheng, Xupeng Miao, Zhihao Jia
2026	J	`jnl`	Adaptive Geometric Attention-Driven No-Reference Multi-Modal Point Cloud Quality Assessment. ACM Trans. Multim. Comput. Commun. Appl. Zhihao Jia, Hao Liu, Shuo Zhang, Yonghua Zhang, Yang Lu, Ziqing Huang, Shiguang Liu
2026	J	`jnl`	Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems. ACM Comput. Surv. Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
2025	J	`jnl`	AdaServe: SLO-Customized LLM Serving with Fine-Grained Speculative Decoding. CoRR Zikun Li, Zhuofu Chen, Remi Delacourt, Gabriele Oliaro, Zeyu Wang, Qinghan Chen, Shuhuai Lin, April Yang, Zhihao Zhang, Zhuoming Chen, Sean Lai, Xupeng Miao, Zhihao Jia
2025	J	`jnl`	CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models. CoRR Xinle Cheng, Zhuoming Chen, Zhihao Jia
2025	J	`jnl`	Communication Bounds for the Distributed Experts Problem. CoRR Zhihao Jia, Qi Pang, Trung Tran, David P. Woodruff, Zhihao Zhang, Wenting Zheng
2025	A*	`conf`	DDO: Dual-Decision Optimization for LLM-Based Medical Consultation via Multi-Agent Collaboration. EMNLP Zhihao Jia, Mingyi Jia, Junwen Duan, Jian-xin Wang
2025	J	`jnl`	DDO: Dual-Decision Optimization via Multi-Agent Collaboration for LLM-Based Medical Consultation. CoRR Zhihao Jia, Mingyi Jia, Junwen Duan, Jianxin Wang
2025	—	`conf`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. ASPLOS (1) Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia
2025	—	`conf`	Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow. ASPLOS (1) Yixuan Mei, Yonghao Zhuang, Xupeng Miao, Juncheng Yang, Zhihao Jia, Rashmi Vinayak
2025	—	`conf`	ICA-RAG: Information Completeness Guided Adaptive Retrieval-Augmented Generation for Disease Diagnosis. BIBM Jiawei He, Mingyi Jia, Zhihao Jia, Junwen Duan, Yan Song, Jianxin Wang
2025	J	`jnl`	Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning. CoRR Lijie Yang, Zhihao Zhang, Arti Jain, Shijie Cao, Baihong Yuan, Yiwei Chen, Zhihao Jia, Ravi Netravali
2025	A*	`conf`	MagicPIG: LSH Sampling for Efficient LLM Generation. ICLR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2025	J	`jnl`	Mirage Persistent Kernel: A Compiler and Runtime for Mega-Kernelizing Tensor Programs. CoRR Xinhao Cheng, Zhihao Zhang, Yu Zhou, Jianan Ji, Jinchen Jiang, Zepeng Zhao, Ziruo Xiao, Zihao Ye, Yingyi Huang, Ruihang Lai, Hongyi Jin, Bohan Hou, Mengdi Wu, Yixin Dong, Anthony Yip, Songting Wang, Wenqin Yang, Xupeng Miao, Tianqi Chen, Zhihao Jia
2025	A*	`conf`	Mirage: A Multi-Level Superoptimizer for Tensor Programs. OSDI Mengdi Wu, Xinhao Cheng, Shengyu Liu, Chunan Shi, Jianan Ji, Man Kit Ao, Praveen Velliengiri, Xupeng Miao, Oded Padon, Zhihao Jia
2025	J	`jnl`	On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025	A*	`conf`	Sera: Separated Coarse-to-fine Representation Alignment for Cross-subject EEG-based Emotion Recognition. ACM Multimedia Zhihao Jia, Meiyan Xu, Jingyuan Wang, Ziyu Jia, Yong Li, Xinliang Zhou, Chenyu Liu, Junfeng Yao, Yi Ding
2025	J	`jnl`	SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning. CoRR Rui Pan, Yinwei Dai, Zhihao Zhang, Gabriele Oliaro, Zhihao Jia, Ravi Netravali
2025	J	`jnl`	Texture dominated no-reference quality assessment for high resolution image by multi-scale mechanism. Neurocomputing Ziqing Huang, Hao Liu, Zhihao Jia, Shuo Zhang, Yonghua Zhang, Shiguang Liu
2025	A*	`conf`	TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention. ICLR Lijie Yang, Zhihao Zhang, Zhuofu Chen, Zikun Li, Zhihao Jia
2024	J	`jnl`	A Multi-Level Superoptimizer for Tensor Programs. CoRR Mengdi Wu, Xinhao Cheng, Oded Padon, Zhihao Jia
2024	J	`jnl`	A System for Microserving of LLMs. CoRR Hongyi Jin, Ruihang Lai, Charlie F. Ruan, Yingcheng Wang, Todd C. Mowry, Xupeng Miao, Zhihao Jia, Tianqi Chen
2024	A*	`conf`	Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation. ICML Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia
2024	J	`jnl`	Accelerating Retrieval-Augmented Language Model Serving with Speculation. CoRR Zhihao Zhang, Alan Zhu, Lijie Yang, Yihua Xu, Lanting Li, Phitchaya Mangpo Phothilimthana, Zhihao Jia
2024	J	`jnl`	Atlas: Hierarchical Partitioning for Quantum Circuit Simulation on GPUs (Extended Version). CoRR Mingkuan Xu, Shiyi Cao, Xupeng Miao, Umut A. Acar, Zhihao Jia
2024	A	`conf`	Atlas: Hierarchical Partitioning for Quantum Circuit Simulation on GPUs. SC Mingkuan Xu, Shiyi Cao, Xupeng Miao, Umut A. Acar, Zhihao Jia
2024	A*	`conf`	CLLP: Contrastive Learning Framework Based on Latent Preferences for Next POI Recommendation. SIGIR Hongli Zhou, Zhihao Jia, Haiyang Zhu, Zhizheng Zhang
2024	A*	`conf`	Communication Bounds for the Distributed Experts Problem. NeurIPS Zhihao Jia, Qi Pang, Trung Tran, David P. Woodruff, Zhihao Zhang, Wenting Zheng
2024	—	`conf`	Demystifying Data Management for Large Language Models. SIGMOD Conference Companion Xupeng Miao, Zhihao Jia, Bin Cui
2024	J	`jnl`	Drone-NeRF: Efficient NeRF based 3D scene reconstruction for large-scale drone survey. Image Vis. Comput. Zhihao Jia, Bing Wang, Changhao Chen
2024	J	`jnl`	FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning. CoRR Xupeng Miao, Gabriele Oliaro, Xinhao Cheng, Mengdi Wu, Colin Unger, Zhihao Jia
2024	J	`jnl`	GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism. CoRR Byungsoo Jeon, Mengdi Wu, Shiyi Cao, Sunghyun Kim, Sunghyun Park, Neeraj Aggarwal, Colin Unger, Daiyaan Arfeen, Peiyuan Liao, Xupeng Miao, Mohammad Alizadeh, Gregory R. Ganger, Tianqi Chen, Zhihao Jia
2024	J	`jnl`	Helix: Distributed Serving of Large Language Models via Max-Flow on Heterogeneous GPUs. CoRR Yixuan Mei, Yonghao Zhuang, Xupeng Miao, Juncheng Yang, Zhihao Jia, Rashmi Vinayak
2024	—	`conf`	Intracranial Steno-Occlusive Lesion Detection on Magnetic Resonance Angiography Images. ICBBT Zhihao Jia, Chuyang Ye, Youyuan Zhao, Jingang Chen, Jiande Ouyang, Xuesheng Ma
2024	J	`jnl`	MagicPIG: LSH Sampling for Efficient LLM Generation. CoRR Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Léon Bottou, Zhihao Jia, Beidi Chen
2024	—	`conf`	Optimal Kernel Orchestration for Tensor Programs with Korch. ASPLOS (3) Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia
2024	J	`jnl`	Optimal Kernel Orchestration for Tensor Programs with Korch. CoRR Muyan Hu, Ashwin Venkatram, Shreyashri Biswas, Balamurugan Marimuthu, Bohan Hou, Gabriele Oliaro, Haojie Wang, Liyan Zheng, Xupeng Miao, Jidong Zhai, Zhihao Jia
2024	Misc	`conf`	Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. NSDI Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia
2024	J	`jnl`	Parcae: Proactive, Liveput-Optimized DNN Training on Preemptible Instances. CoRR Jiangfei Duan, Ziang Song, Xupeng Miao, Xiaoli Xi, Dahua Lin, Harry Xu, Minjia Zhang, Zhihao Jia
2024	—	`conf`	Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models. ACL (1) Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Qing Li, Yong Jiang, Zhihao Jia
2024	J	`jnl`	Quantized Side Tuning: Fast and Memory-Efficient Tuning of Quantized Large Language Models. CoRR Zhengxin Zhang, Dan Zhao, Xupeng Miao, Gabriele Oliaro, Qing Li, Yong Jiang, Zhihao Jia
2024	J	`jnl`	Quarl: A Learning-Based Quantum Circuit Optimizer. Proc. ACM Program. Lang. Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia
2024	A*	`conf`	Sequoia: Scalable and Robust Speculative Decoding. NeurIPS Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
2024	J	`jnl`	Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding. CoRR Zhuoming Chen, Avner May, Ruslan Svirschevski, Yuhsun Huang, Max Ryabinin, Zhihao Jia, Beidi Chen
2024	A*	`conf`	SpecExec: Massively Parallel Speculative Decoding For Interactive LLM Inference on Consumer Devices. NeurIPS Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
2024	J	`jnl`	SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices. CoRR Ruslan Svirschevski, Avner May, Zhuoming Chen, Beidi Chen, Zhihao Jia, Max Ryabinin
2024	—	`conf`	SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification. ASPLOS (3) Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Zhengxin Zhang, Rae Ying Yee Wong, Alan Zhu, Lijie Yang, Xiaoxiang Shi, Chunan Shi, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia
2024	—	`conf`	SpotServe: Serving Generative Large Language Models on Preemptible Instances. ASPLOS (2) Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
2024	J	`jnl`	SuffixDecoding: A Model-Free Approach to Speeding Up Large Language Model Inference. CoRR Gabriele Oliaro, Zhihao Jia, Daniel F. Campos, Aurick Qiao
2024	J	`jnl`	TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention. CoRR Lijie Yang, Zhihao Zhang, Zhuofu Chen, Zikun Li, Zhihao Jia
2024	A*	`conf`	X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling. IJCAI Xupeng Miao, Shenhan Zhu, Fangcheng Fu, Ziyu Guo, Zhi Yang, Yaofeng Tu, Zhihao Jia, Bin Cui
2023	Misc	`conf`	Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. NSDI John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu
2023	—	`conf`	Building Verified Neural Networks for Computer Systems with Ouroboros. MLSys Cheng Tan, Changliu Liu, Zhihao Jia, Tianhao Wei
2023	J	`jnl`	Drone-NeRF: Efficient NeRF Based 3D Scene Reconstruction for Large-Scale Drone Survey. CoRR Zhihao Jia, Bing Wang, Changhao Chen
2023	J	`jnl`	Dynamic Correlation Adjacency-Matrix-Based Graph Neural Networks for Traffic Flow Prediction. Sensors Junhua Gu, Zhihao Jia, Taotao Cai, Xiangyu Song, Adnan Mahmood
2023	A*	`conf`	EINNET: Optimizing Tensor Programs with Derivation-Based Transformations. OSDI Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shuhong Huang, Xupeng Miao, Shizhi Tang, Kezhao Huang, Zhihao Jia
2023	J	`jnl`	Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections. IEEE Trans. Computers Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia
2023	J	`jnl`	Quarl: A Learning-Based Quantum Circuit Optimizer. CoRR Zikun Li, Jinjun Peng, Yixuan Mei, Sina Lin, Yi Wu, Oded Padon, Zhihao Jia
2023	J	`jnl`	SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training. Proc. VLDB Endow. Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia
2023	A*	`conf`	Sia: Heterogeneity-aware, goodput-optimized ML-cluster scheduling. SOSP Suhas Jayaram Subramanya, Daiyaan Arfeen, Shouxu Lin, Aurick Qiao, Zhihao Jia, Gregory R. Ganger
2023	J	`jnl`	SpecInfer: Accelerating Generative LLM Serving with Speculative Inference and Token Tree Verification. CoRR Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Zeyu Wang, Rae Ying Yee Wong, Zhuoming Chen, Daiyaan Arfeen, Reyna Abhyankar, Zhihao Jia
2023	J	`jnl`	SpotServe: Serving Generative Large Language Models on Preemptible Instances. CoRR Xupeng Miao, Chunan Shi, Jiangfei Duan, Xiaoli Xi, Dahua Lin, Bin Cui, Zhihao Jia
2023	Misc	`conf`	TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs. NSDI Weiyang Wang, Moein Khazraee, Zhizhen Zhong, Manya Ghobadi, Zhihao Jia, Dheevatsa Mudigere, Ying Zhang, Anthony Kewitsch
2023	J	`jnl`	Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems. CoRR Xupeng Miao, Gabriele Oliaro, Zhihao Zhang, Xinhao Cheng, Hongyi Jin, Tianqi Chen, Zhihao Jia
2022	A*	`conf`	BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs. NeurIPS Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Bamboo: Making Preemptible Instances Resilient for Affordable Training of Large DNNs. CoRR John Thorpe, Pengzhan Zhao, Jonathan Eyolfson, Yifan Qiao, Zhihao Jia, Minjia Zhang, Ravi Netravali, Guoqing Harry Xu
2022	J	`jnl`	Benchmarking Node Outlier Detection on Graphs. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H. Chen, Zhihao Jia, Philip S. Yu
2022	B	`conf`	Collage: Seamless Integration of Deep Learning Backends with Automatic Placement. PACT Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2022	A*	`conf`	GradSign: Model Performance Inference with Theoretical Insights. ICLR Zhihao Zhang, Zhihao Jia
2022	J	`jnl`	OLLIE: Derivation-based Tensor Program Optimizer. CoRR Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia
2022	J	`jnl`	Optimizing Mixture of Experts using Dynamic Recompilations. CoRR Ferdinand Kossmann, Zhihao Jia, Alex Aiken
2022	J	`jnl`	PyGOD: A Python Library for Graph Outlier Detection. CoRR Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, George H. Chen, Zhihao Jia, Philip S. Yu
2022	J	`jnl`	Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks. CoRR Zhihao Zhang, Zhuoming Chen, Heyang Huang, Zhihao Jia
2022	J	`jnl`	Quartz: Superoptimization of Quantum Circuits (Extended Version). CoRR Mingkuan Xu, Zikun Li, Oded Padon, Sina Lin, Jessica Pointing, Auguste Hirth, Henry Ma, Jens Palsberg, Alex Aiken, Umut A. Acar, Zhihao Jia
2022	A*	`conf`	Quartz: superoptimization of Quantum circuits. PLDI Mingkuan Xu, Zikun Li, Oded Padon, Sina Lin, Jessica Pointing, Auguste Hirth, Henry Ma, Jens Palsberg, Alex Aiken, Umut A. Acar, Zhihao Jia
2022	A*	`conf`	Software-hardware co-design for fast and scalable training of deep learning recommendation models. ISCA Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao
2022	J	`jnl`	TOD: GPU-accelerated Outlier Detection via Tensor Operations. Proc. VLDB Endow. Yue Zhao, George H. Chen, Zhihao Jia
2022	A*	`conf`	Unity: Accelerating DNN Training Through Joint Optimization of Algebraic Transformations and Parallelization. OSDI Colin Unger, Zhihao Jia, Wei Wu, Sina Lin, Mandeep Baines, Carlos Efrain Quintero Narvaez, Vinay Ramakrishnaiah, Nirmal Prajapati, Patrick S. McCormick, Jamaludin Mohd-Yusof, Xi Luo, Dheevatsa Mudigere, Jongsoo Park, Misha Smelyanskiy, Alex Aiken
2021	J	`jnl`	Collage: Automated Integration of Deep Learning Backends. CoRR Byungsoo Jeon, Sunghyun Park, Peiyuan Liao, Sheng Xu, Tianqi Chen, Zhihao Jia
2021	A*	`conf`	Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. OSDI John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
2021	J	`jnl`	Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. CoRR John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
2021	J	`jnl`	GradSign: Model Performance Inference with Theoretical Insights. CoRR Zhihao Zhang, Zhihao Jia
2021	—	`conf`	IOS: Inter-Operator Scheduler for CNN Acceleration. MLSys Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2021	A*	`conf`	PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections. OSDI Haojie Wang, Jidong Zhai, Mingyu Gao, Zixuan Ma, Shizhi Tang, Liyan Zheng, Yuanzhi Li, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia
2021	J	`jnl`	Quanto: Optimizing Quantum Circuits with Automatic Generation of Circuit Identities. CoRR Jessica Pointing, Oded Padon, Zhihao Jia, Henry Ma, Auguste Hirth, Jens Palsberg, Alex Aiken
2021	B	`conf`	Scaling implicit parallelism via dynamic control replication. PPoPP Michael Bauer, Wonchan Lee, Elliott Slaughter, Zhihao Jia, Mario Di Renzo, Manolis Papadakis, Galen M. Shipman, Patrick S. McCormick, Michael Garland, Alex Aiken
2021	J	`jnl`	TOD: Tensor-based Outlier Detection. CoRR Yue Zhao, George H. Chen, Zhihao Jia
2020	—	`—`	Automated discovery of machine learning optimizations. Zhihao Jia
2020	J	`jnl`	IOS: Inter-Operator Scheduler for CNN Acceleration. CoRR Yaoyao Ding, Ligeng Zhu, Zhihao Jia, Gennady Pekhimenko, Song Han
2020	—	`conf`	Improving the Accuracy, Scalability, and Performance of Graph Neural Networks with Roc. MLSys Zhihao Jia, Sina Lin, Mingyu Gao, Matei Zaharia, Alex Aiken
2020	A*	`conf`	Redundancy-Free Computation for Graph Neural Networks. KDD Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
2019	—	`conf`	Beyond Data and Model Parallelism for Deep Neural Networks. SysML Zhihao Jia, Matei Zaharia, Alex Aiken
2019	—	`conf`	Optimizing DNN Computation with Relaxed Graph Substitutions. SysML Zhihao Jia, James Thomas, Todd Warszawski, Mingyu Gao, Matei Zaharia, Alex Aiken
2019	J	`jnl`	Redundancy-Free Computation Graphs for Graph Neural Networks. CoRR Zhihao Jia, Sina Lin, Rex Ying, Jiaxuan You, Jure Leskovec, Alex Aiken
2019	A*	`conf`	TASO: optimizing deep learning computation with automatic generation of graph substitutions. SOSP Zhihao Jia, Oded Padon, James Thomas, Todd Warszawski, Matei Zaharia, Alex Aiken
2018	J	`jnl`	Beyond Data and Model Parallelism for Deep Neural Networks. CoRR Zhihao Jia, Matei Zaharia, Alex Aiken
2018	A*	`conf`	Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. ICML Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
2018	J	`jnl`	Exploring Hidden Dimensions in Parallelizing Convolutional Neural Networks. CoRR Zhihao Jia, Sina Lin, Charles R. Qi, Alex Aiken
2018	A	`conf`	Isometry: A Path-Based Distributed Data Transfer System. ICS Zhihao Jia, Sean Treichler, Galen M. Shipman, Patrick S. McCormick, Alex Aiken
2018	J	`jnl`	Research on user behavior clustering algorithm based on mobile application. J. Intell. Fuzzy Syst. Qiubin Su, Zhihao Jia, Lu Lu
2017	J	`jnl`	A Distributed Multi-GPU System for Fast Graph Processing. Proc. VLDB Endow. Zhihao Jia, Yongkee Kwon, Galen M. Shipman, Patrick S. McCormick, Mattan Erez, Alex Aiken
2017	Misc	`conf`	Integrating External Resources with a Task-Based Programming Model. HiPC Zhihao Jia, Sean Treichler, Galen M. Shipman, Michael Bauer, Noah Watkins, Carlos Maltzahn, Patrick S. McCormick, Alex Aiken
2016	—	`conf`	SLIK: Scalable Low-Latency Indexes for a Key-Value Store. USENIX ATC Ankita Kejriwal, Arjun Gopalan, Ashish Gupta, Zhihao Jia, Stephen Yang, John K. Ousterhout
2015	—	`conf`	Automatic and transparent I/O optimization with storage integrated application runtime support. PDSW@SC Noah Watkins, Zhihao Jia, Galen M. Shipman, Carlos Maltzahn, Alex Aiken, Patrick S. McCormick
2012	A*	`conf`	Improving Integer Security for Systems with KINT. OSDI Xi Wang, Haogang Chen, Zhihao Jia, Nickolai Zeldovich, M. Frans Kaashoek
2012	—	`conf`	Undefined behavior: what happened to my code? APSys Xi Wang, Haogang Chen, Alvin Cheung, Zhihao Jia, Nickolai Zeldovich, M. Frans Kaashoek