Architectural benefits and design challenges for three-dimensional integrated circuits. - Jing Xie 006; Jishen Zhao; Xiangyu Dong 001; Yuan Xie 001 (APCCAS, 2010)

Cost-aware three-dimensional (3D) many-core multiprocessor design. - Jishen Zhao; Xiangyu Dong 001; Yuan Xie 001 (DAC, 2010)

3D-nonFAR: three-dimensional non-volatile FPGA architecture using phase change memory. - Yibo Chen; Jishen Zhao; Yuan Xie 001 (ISLPED, 2010)

Fabrication Cost Analysis and Cost-Aware Design Space Exploration for 3-D ICs. - Xiangyu Dong 001; Jishen Zhao; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2010)

An energy-efficient 3D CMP design with fine-grained voltage scaling. - Jishen Zhao; Xiangyu Dong 001; Yuan Xie 001 (DATE, 2011)

Bandwidth-aware reconfigurable cache design with hybrid memory technologies. - Jishen Zhao; Cong Xu 002; Yuan Xie 001 (ICCAD, 2011)

Moguls: a model to explore the memory hierarchy for bandwidth improvements. - Guangyu Sun 003; Christopher J. Hughes; Changkyu Kim; Jishen Zhao; Cong Xu 002; Yuan Xie 001; Yen-Kuang Chen (ISCA, 2011)

Optimizing bandwidth and power of graphics memory with hybrid memory technologies and adaptive data migration. - Jishen Zhao; Yuan Xie 001 (ICCAD, 2012)

Energy-efficient GPU design with reconfigurable in-package graphics memory. - Jishen Zhao; Guangyu Sun 003; Gabriel H. Loh; Yuan Xie 001 (ISLPED, 2012)

MAGE: adaptive granularity and ECC for resilient and power efficient memory systems. - Sheng Li 007; Doe Hyun Yoon; Ke Chen 020; Jishen Zhao; Jung Ho Ahn; Jay B. Brockman; Yuan Xie 001; Norman P. Jouppi (SC, 2012)

Kiln: closing the performance gap between systems with and without persistence support. - Jishen Zhao; Sheng Li 007; Doe Hyun Yoon; Yuan Xie 001; Norman P. Jouppi (MICRO, 2013)

Optimizing GPU energy efficiency with 3D die-stacking graphics memory and reconfigurable memory interface. - Jishen Zhao; Guangyu Sun 003; Gabriel H. Loh; Yuan Xie 001 (ACM Trans. Archit. Code Optim., 2013)

FIRM: Fair and High-Performance Memory Control for Persistent Memory Systems. - Jishen Zhao; Onur Mutlu; Yuan Xie 001 (MICRO, 2014)

Core vs. uncore: the heart of darkness. - Hsiang-Yun Cheng; Jia Zhan; Jishen Zhao; Yuan Xie 001; Jack Sampson; Mary Jane Irwin (DAC, 2015)

DimNoC: a dim silicon approach towards power-efficient on-chip network. - Jia Zhan; Jin Ouyang; Fen Ge; Jishen Zhao; Yuan Xie 001 (DAC, 2015)

History-Assisted Adaptive-Granularity Caches (HAAG$) for High Performance 3D DRAM Architectures. - Ke Chen 020; Sheng Li 007; Jung Ho Ahn; Naveen Muralimanohar; Jishen Zhao; Cong Xu 002; Seongil O; Yuan Xie 001; Jay B. Brockman; Norman P. Jouppi (ICS, 2015)

ThyNVM: enabling software-transparent crash consistency in persistent memory systems. - Jinglei Ren; Jishen Zhao; Samira Manabi Khan; Jongmoo Choi; Yongwei Wu 001; Onur Mutlu (MICRO, 2015)

Leveraging nonvolatility for architecture design with emerging NVM. - Shuangchen Li; Ping Chi; Jishen Zhao; Kwang-Ting Cheng; Yuan Xie 001 (NVMSA, 2015)

Memory and Storage System Design with Nonvolatile Memory Technologies. - Jishen Zhao; Cong Xu 002; Ping Chi; Yuan Xie 001 (IPSJ Trans. Syst. LSI Des. Methodol., 2015)

Buri: Scaling Big-Memory Computing with Hardware-Based Memory Expansion. - Jishen Zhao; Sheng Li 007; Jichuan Chang; John L. Byrne; Laura L. Ramirez; Kevin T. Lim; Yuan Xie 001; Paolo Faraboschi (ACM Trans. Archit. Code Optim., 2015)

Die-stacking Architecture - Yuan Xie 001; Jishen Zhao (Morgan & Claypool Publishers, 2015)

Pinatubo: a processing-in-memory architecture for bulk bitwise operations in emerging non-volatile memories. - Shuangchen Li; Cong Xu 002; Qiaosha Zou; Jishen Zhao; Yu Lu; Yuan Xie 001 (DAC, 2016)

Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications. - Borui Wang; Martin Torres; Dong Li 001; Jishen Zhao; Florin Rusu (ICPP Workshops, 2016)

LAP: Loop-Block Aware Inclusion Properties for Energy-Efficient Asymmetric Last Level Caches. - Hsiang-Yun Cheng; Jishen Zhao; Jack Sampson; Mary Jane Irwin; Aamer Jaleel; Yu Lu; Yuan Xie 001 (ISCA, 2016)

PRIME: A Novel Processing-in-Memory Architecture for Neural Network Computation in ReRAM-Based Main Memory. - Ping Chi; Shuangchen Li; Cong Xu 002; Tao Zhang 032; Jishen Zhao; Yongpan Liu; Yu Wang 002; Yuan Xie 001 (ISCA, 2016)

Integrated Thermal Analysis for Processing In Die-Stacking Memory. - Yuxiong Zhu; Borui Wang; Dong Li 001; Jishen Zhao (MEMSYS, 2016)

A unified memory network architecture for in-memory computing in commodity servers. - Jia Zhan; Itir Akgun; Jishen Zhao; Al Davis; Paolo Faraboschi; Yuangang Wang; Yuan Xie 001 (MICRO, 2016)

BACH: A Bandwidth-Aware Hybrid Cache Hierarchy Design with Nonvolatile Memories. - Jishen Zhao; Cong Xu 002; Tao Zhang 032; Yuan Xie 001 (J. Comput. Sci. Technol., 2016)

Hybrid Drowsy SRAM and STT-RAM Buffer Designs for Dark-Silicon-Aware NoC. - Jia Zhan; Jin Ouyang; Fen Ge; Jishen Zhao; Yuan Xie 001 (IEEE Trans. Very Large Scale Integr. Syst., 2016)

Leave the Cache Hierarchy Operation as It Is: A New Persistent Memory Accelerating Approach. - Chun-Hao Lai; Jishen Zhao; Chia-Lin Yang (DAC, 2017)

PRESCOTT: Preset-based cross-point architecture for spin-orbit-torque magnetic random access memory. - Liang Chang 002; Zhaohao Wang; Alvin Oliver Glova; Jishen Zhao; Youguang Zhang; Yuan Xie 001; Weisheng Zhao (ICCAD, 2017)

Approximate image storage with multi-level cell STT-MRAM main memory. - Hengyu Zhao; Linuo Xue; Ping Chi; Jishen Zhao (ICCAD, 2017)

Logging in persistent memory: to cache, or not to cache? - Mengjie Li; Matheus Ogleari; Jishen Zhao (MEMSYS, 2017)

Overview of 3-D Architecture Design Opportunities and Techniques. - Jishen Zhao; Qiaosha Zou; Yuan Xie 001 (IEEE Des. Test, 2017)

Reducing NVM Writes with Optimized Shadow Paging. - Yuanjiang Ni; Jishen Zhao; Daniel Bittman; Ethan L. Miller (HotStorage, 2018)

Steal but No Force: Efficient Hardware Undo+Redo Logging for Persistent Memory Systems. - Matheus Ogleari; Ethan L. Miller; Jishen Zhao (HPCA, 2018)

Leveraging MLC STT-RAM for energy-efficient CNN training. - Hengyu Zhao; Jishen Zhao (MEMSYS, 2018)

Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. - Xing Hu 001; Matheus Ogleari; Jishen Zhao; Shuangchen Li; Abanti Basak; Yuan Xie 001 (MICRO, 2018)

Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach. - Jiawen Liu; Hengyu Zhao; Matheus A. Ogleari; Dong Li 001; Jishen Zhao (MICRO, 2018)

PMTest: A Fast and Flexible Testing Framework for Persistent Memory Programs. - Sihang Liu 001; Yizhou Wei; Jishen Zhao; Aasheesh Kolli; Samira Manabi Khan (ASPLOS, 2019)

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. - Cheng Fu 002; Shilin Zhu; Huili Chen; Farinaz Koushanfar; Hao Su 001; Jishen Zhao (FCCM, 2019)

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. - Cheng Fu 002; Shilin Zhu; Hao Su 001; Ching-En Lee; Jishen Zhao (FPGA, 2019)

Robotic Reliability Engineering: Experience from Long-Term TritonBot Development. - Shengye Wang; Xiao Liu 033; Jishen Zhao; Henrik I. Christensen (FSR, 2019)

String Figure: A Scalable and Elastic Memory Network Architecture. - Matheus Ogleari; Ye Yu 001; Chen Qian 001; Ethan L. Miller; Jishen Zhao (HPCA, 2019)

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCAD, 2019)

Rorg: Service Robot Software Management with Linux Containers. - Shengye Wang; Xiao Liu 033; Jishen Zhao; Henrik I. Christensen (ICRA, 2019)

Persistent Memory Workload Characterization: A Hardware Perspective. - Xiao Liu 033; Bhaskar Jupudi; Pankaj Mehra; Jishen Zhao (IISWC, 2019)

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (IJCAI, 2019)

DeepAttest: an end-to-end attestation framework for deep neural networks. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (ISCA, 2019)

HR3AM: A Heat Resilient Design for RRAM-based Neuromorphic Computing. - Xiao Liu 033; Mingxuan Zhou; Tajana Simunic Rosing; Jishen Zhao (ISLPED, 2019)

Transitioning scientific applications to using non-volatile memory for resilience. - Brandon Nesterenko; Xiao Liu 033; Qing Yi; Jishen Zhao; Jiange Zhang (MEMSYS, 2019)

Binary Star: Coordinated Reliability in Heterogeneous Memory Systems for High Performance and Scalability. - Xiao Liu 033; David Roberts; Rachata Ausavarungnirun; Onur Mutlu; Jishen Zhao (MICRO, 2019)

SSP: Eliminating Redundant Writes in Failure-Atomic NVRAMs via Shadow Sub-Paging. - Yuanjiang Ni; Jishen Zhao; Heiner Litz; Daniel Bittman; Ethan L. Miller (MICRO, 2019)

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models. - Huili Chen; Bita Darvish Rouhani; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICMR, 2019)

Coda: An End-to-End Neural Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (NeurIPS, 2019)

Vorpal: Vector Clock Ordering For Large Persistent Memory Systems. - Kunal Korgaonkar; Joseph Izraelevitz; Jishen Zhao; Steven Swanson (PODC, 2019)

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module. - Joseph Izraelevitz; Jian Yang; Lu Zhang 064; Juno Kim; Xiao Liu 033; Amir Saman Memaripour; Yun Joon Soh; Zixuan Wang; Yi Xu 017; Subramanya R. Dulloor; Jishen Zhao; Steven Swanson (CoRR, 2019)

Towards Safety-Aware Computing System Design in Autonomous Vehicles. - Hengyu Zhao; Yubo Zhang; Pingfan Meng; Hui Shi; Li Erran Li; Tiancheng Lou; Jishen Zhao (CoRR, 2019)

A Neural-based Program Decompiler. - Cheng Fu 002; Huili Chen; Haolan Liu; Xinyun Chen; Yuandong Tian; Farinaz Koushanfar; Jishen Zhao (CoRR, 2019)

Emerging Memory Technologies. - Yuan Xie 001; Jishen Zhao (IEEE Micro, 2019)

GraphH: A Processing-in-Memory Architecture for Large-Scale Graph Processing. - Guohao Dai; Tianhao Huang; Yuze Chi; Jishen Zhao; Guangyu Sun 003; Yongpan Liu; Yu Wang 002; Yuan Xie 001; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Parana: A Parallel Neural Architecture Considering Thermal Problem of 3D Stacked Memory. - Shouyi Yin; Shibin Tang; Xinhan Lin; Peng Ouyang; Fengbin Tu; Leibo Liu; Jishen Zhao; Cong Xu 002; Shuangchen Li; Yuan Xie 001; Shaojun Wei (IEEE Trans. Parallel Distributed Syst., 2019)

SubZero: zero-copy IO for persistent main memory file systems. - Juno Kim; Yun Joon Soh; Joseph Izraelevitz; Jishen Zhao; Steven Swanson (APSys, 2020)

Vehicular and Edge Computing for Emerging Connected and Autonomous Vehicle Applications. - Sabur Baidya; Yu-Jen Ku; Hengyu Zhao; Jishen Zhao; Sujit Dey (DAC, 2020)

An Order Sampling Processing-in-Memory Architecture for Approximate Graph Pattern Mining. - Ziqian Wan; Guohao Dai; Yun Joon Soh; Jishen Zhao; Yu Wang 002 (ACM Great Lakes Symposium on VLSI, 2020)

Driving Scenario Perception-Aware Computing System Design in Autonomous Vehicles. - Hengyu Zhao; Yubo Zhang; Pingfan Meng; Hui Shi; Li Erran Li; Tiancheng Lou; Jishen Zhao (ICCD, 2020)

Deep Symbolic Superoptimization Without Human Knowledge. - Hui Shi; Yang Zhang; Xinyun Chen; Yuandong Tian; Jishen Zhao (ICLR, 2020)

Implementing binary neural networks in memory with approximate accumulation. - Saransh Gupta; Mohsen Imani; Hengyu Zhao; Fan Wu; Jishen Zhao; Tajana Simunic Rosing (ISLPED, 2020)

Safety Score: A Quantitative Approach to Guiding Safety-Aware Autonomous Vehicle Computing System Design. - Hengyu Zhao; Yubo Zhang; Pingfan Meng; Hui Shi; Li Erran Li; Tiancheng Lou; Jishen Zhao (IV, 2020)

Characterizing and Modeling Non-Volatile Memory Systems. - Zixuan Wang; Xiao Liu 033; Jian Yang; Theodore Michailidis; Steven Swanson; Jishen Zhao (MICRO, 2020)

Efficient Implementation of Multi-Channel Convolution in Monolithic 3D ReRAM Crossbar. - Sho Ko; Yun Joon Soh; Jishen Zhao (CoRR, 2020)

Enhancing Model Parallelism in Neural Architecture Search for Multidevice System. - Cheng Fu 002; Huili Chen; Zhenheng Yang; Farinaz Koushanfar; Yuandong Tian; Jishen Zhao (IEEE Micro, 2020)

A Physical-Aware Framework for Memory Network Design Space Exploration. - Tianhao Shen; Di Gao; Li Zhang 021; Jishen Zhao; Cheng Zhuo (ASP-DAC, 2021)

Suraksha: A Quantitative AV Safety Evaluation Framework to Analyze Safety Implications of Perception Design Choices. - Hengyu Zhao; Siva Kumar Sastry Hari; Timothy Tsai 002; Michael B. Sullivan 001; Stephen W. Keckler; Jishen Zhao (DSN Workshops, 2021)

Continuous Cnn For Nonuniform Time Series. - Hui Shi; Yang Zhang 001; Hao Wu; Shiyu Chang; Kaizhi Qian; Mark Hasegawa-Johnson; Jishen Zhao (ICASSP, 2021)

ProFlip: Targeted Trojan Attack with Progressive Bit Flips. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (ICCV, 2021)

Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. - Cheng Fu 002; Hanxian Huang; Xinyun Chen; Yuandong Tian; Jishen Zhao (ICML, 2021)

FPRA: A Fine-grained Parallel RRAM Architecture. - Xiao Liu 033; Minxuan Zhou; Rachata Ausavarungnirun; Sean Eilert; Ameen Akel; Tajana Rosing; Vijaykrishnan Narayanan; Jishen Zhao (ISLPED, 2021)

Suraksha: A Framework to Analyze the Safety Implications of Perception Design Choices in AVs. - Hengyu Zhao; Siva Kumar Sastry Hari; Timothy Tsai 002; Michael B. Sullivan 001; Stephen W. Keckler; Jishen Zhao (ISSRE, 2021)

Ayudante: A Deep Reinforcement Learning Approach to Assist Persistent Memory Programming. - Hanxian Huang; Zixuan Wang; Juno Kim; Steven Swanson; Jishen Zhao (USENIX ATC, 2021)

Characterizing and Modeling Nonvolatile Memory Systems. - Zixuan Wang; Xiao Liu 033; Jian Yang; Theodore Michailidis; Steven Swanson; Jishen Zhao (IEEE Micro, 2021)

Q-gym: An Equality Saturation Framework for DNN Inference Exploiting Weight Repetition. - Cheng Fu 002; Hanxian Huang; Bram Wasti; Chris Cummins; Riyadh Baghdadi; Kim M. Hazelwood; Yuandong Tian; Jishen Zhao; Hugh Leather (PACT, 2022)

Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. - Hui Shi; Sicun Gao; Yuandong Tian; Xinyun Chen; Jishen Zhao (AAAI, 2022)

PMShifter: enabling persistent memory fluidness in Linux. - Theodore Michailidis; Steven Swanson; Jishen Zhao (APSys, 2022)

Stage-Terrain-Power Model Based on Analytic Hierarchy Process. - Boyu Zang; Jishen Zhao (CIIS, 2022)

Enabling Efficient Large-Scale Deep Learning Training with Cache Coherent Disaggregated Memory Systems. - Zixuan Wang; Joonseop Sim; Euicheol Lim; Jishen Zhao (HPCA, 2022)

Every Preference Changes Differently: Neural Multi-Interest Preference Model with Temporal Dynamics for Recommendation. - Hui Shi; Yupeng Gu; Yitong Zhou; Bo Zhao 001; Sicun Gao; Jishen Zhao (CoRR, 2022)

TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. - Cheng Fu 002; Hanxian Huang; Zixuan Jiang; Yun Ni; Lifeng Nai; Gang Wu; Liqun Cheng; Yanqi Zhou; Sheng Li 007; Andrew Li; Jishen Zhao (ICCV, 2023)

Everyone's Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval. - Hui Shi; Yupeng Gu; Yitong Zhou; Bo Zhao 001; Sicun Gao; Jishen Zhao (ICML, 2023)

Interpretable and Flexible Target-Conditioned Neural Planners For Autonomous Vehicles. - Haolan Liu; Jishen Zhao; Liangjun Zhang (ICRA, 2023)

ENTS: Flush-and-Fence-Free Failure Atomic Transactions. - Yun Joon Soh; Steven Swanson; Jishen Zhao (MEMSYS, 2023)

HyperGef: A Framework Enabling Efficient Fusion for Hypergraph Neural Network on GPUs. - Zhongming Yu; Guohao Dai; Shang Yang; Genghan Zhang; Hengrui Zhang; Feiwen Zhu; June Yang; Jishen Zhao; Yu Wang 002 (MLSys, 2023)

NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems. - Zixuan Wang; Mohammadkazem Taram; Daniel Moghimi; Steven Swanson; Dean M. Tullsen; Jishen Zhao (USENIX Security Symposium, 2023)

COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4 Autonomous Vehicle Systems. - Haolan Liu; Zixuan Wang; Jishen Zhao (CoRR, 2023)

GALU: A Genetic Algorithm Framework for Logic Unlocking. - Huili Chen; Cheng Fu 002; Jishen Zhao; Farinaz Koushanfar (DTRAP, 2023)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (ACL (Findings), 2024)

WikiDT: Visual-Based Table Recognition and Question Answering Dataset. - Hui Shi; Yusheng Xie; Luis Goncalves; Sicun Gao; Jishen Zhao (ICDAR (1), 2024)

Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing. - Haolan Liu; Liangjun Zhang; Siva Kumar Sastry Hari; Jishen Zhao (ICRA, 2024)

Fasor: A Fast Tensor Program Optimization Framework for Efficient DNN Deployment. - Hanxian Huang; Xin Chen 071; Jishen Zhao (ICS, 2024)

Multi-modal Learning for WebAssembly Reverse Engineering. - Hanxian Huang; Jishen Zhao (ISSTA, 2024)

Learning to Maximize Mutual Information for Chain-of-Thought Distillation. - Xin Chen 040; Hanxian Huang; Yanjun Gao; Yi Wang 031; Jishen Zhao; Ke Ding (CoRR, 2024)

GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU. - Zhongming Yu; Genghan Zhang; Hanxian Huang; Xin Chen; Jishen Zhao (CoRR, 2024)

Fork is All You Need in Heterogeneous Systems. - Zixuan Wang; Jishen Zhao (CoRR, 2024)

Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction. - Hanxian Huang; Zhenghan Lin; Zixuan Wang; Xin Chen 040; Ke Ding; Jishen Zhao (CoRR, 2024)

You Only Use Reactive Attention Slice For Long Context Retrieval. - Yun Joon Soh; Hanxian Huang; Yuandong Tian; Jishen Zhao (CoRR, 2024)

Grounding Large Language Models In Embodied Environment With Imperfect World Models. - Haolan Liu; Jishen Zhao (CoRR, 2024)

A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics. - Yun Joon Soh; Jishen Zhao (CoRR, 2024)

The Hitchhiker's Guide to Programming and Optimizing CXL-Based Heterogeneous Systems. - Zixuan Wang; Suyash Mahar; Luyi Li; Jangseon Park; Jinpyo Kim; Theodore Michailidis; Yue Pan; Tajana Rosing; Dean M. Tullsen; Steven Swanson; Kyung-Chang Ryoo; Sungjoo Park; et al. (CoRR, 2024)

MAGE: A Multi-Agent Engine for Automated RTL Code Generation. - Yujie Zhao; Hejia Zhang; Hanxian Huang; Zhongming Yu; Jishen Zhao (CoRR, 2024)

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. - Huili Chen; Cheng Fu 002; Bita Darvish Rouhani; Jishen Zhao; Farinaz Koushanfar (IEEE Des. Test, 2024)

Sibyl: Forecasting Time-Evolving Query Workloads. - Hanxian Huang; Tarique Siddiqui; Rana Alotaibi; Carlo Curino; Jyoti Leeka; Alekh Jindal; Jishen Zhao; Jesús Camacho-Rodríguez; Yuanyuan Tian 001 (Proc. ACM Manag. Data, 2024)

TOSS: Tiering of Serverless Snapshots for Memory-Efficient Serverless Computing. - Theodore Michailidis; Juno Kim; Linsong Guo; Steven Swanson; Jishen Zhao (IPDPS, 2025)

Compiler-Assisted Crash Consistency for PMEM. - Yun Joon Soh; Sihang Liu 001; Steven Swanson; Jishen Zhao (ISMM, 2025)

OrcaLoca: An LLM Agent Framework for Software Issue Localization. - Zhongming Yu; Hejia Zhang; Yujie Zhao; Hanxian Huang; Matrix Yao; Ke Ding; Jishen Zhao (CoRR, 2025)

SHARP: Accelerating Language Model Inference by SHaring Adjacent layers with Recovery Parameters. - Yiping Wang; Hanxian Huang; Yifang Chen 001; Jishen Zhao; Simon Shaolei Du; Yuandong Tian (CoRR, 2025)

PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL Verification. - Yujie Zhao; Zhijing Wu 010; Hejia Zhang; Zhongming Yu; Wentao Ni; Chia-Tung Ho; Haoxing Ren; Jishen Zhao (CoRR, 2025)

SVDE: Serverless Framework for Low-Latency Video Analytic Queries With Hardware Disaggregation. - Pingyi Huo; Theodore Michailidis; Yi Zheng; Prapti Panigrahi; Kiwan Maeng; Jishen Zhao; Vijaykrishnan Narayanan (IEEE Trans. Computers, 2025)