Xing Hu

Orcid: 0000-0002-9979-0561

Affiliations:

Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
Shanghai Technology Innovation Center, Shangai, China
University of California, Santa Barbara, Scalable Energy-Efficient Architecture Lab, CA, USA (former)
University of Chinese Academy of Sciences, Beijing, China (PhD 2014)

According to our database¹, Xing Hu authored at least 98 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization.

[BibT_eX]

[DOI]

CoRR, 2024

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.

[BibT_eX]

[DOI]

CoRR, 2024

InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct.

[BibT_eX]

[DOI]

CoRR, 2024

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification.

[BibT_eX]

[DOI]

CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Automated CPU Design by Learning from Input-Output Examples.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prompt-based Visual Alignment for Zero-shot Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning controllable elements oriented representations for reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., July, 2023

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2023

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

[BibT_eX]

[DOI]

CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.

[BibT_eX]

[DOI]

CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.

[BibT_eX]

[DOI]

CoRR, 2023

ANPL: Compiling Natural Programs with Interactive Decomposition.

[BibT_eX]

[DOI]

CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ANPL: Towards Natural Programming with Interactive Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Shift Reduction for Offline Meta-Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Online Prototype Alignment for Few-shot Policy Transfer.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

BALTO: fast tensor program optimization with diversity-based active learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Online Symbolic Regression with Informative Query.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

A Systematic View of Model Leakage Risks in Deep Neural Network Systems.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2022

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

Object-Category Aware Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Toward Robust Spiking Neural Network Against Adversarial Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

BabelTower: Learning to Auto-parallelized Program Translation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Neural Program Synthesis with Query.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. II Express Briefs, 2021

Rescuing RRAM-Based Computing From Static and Dynamic Faults.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Practical Attacks on Deep Neural Networks by Memory Trojaning.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Fast Search of the Optimal Contraction Sequence in Tensor Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2021

ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cambricon-Q: A Hybrid Architecture for Efficient Training.

[BibT_eX]

[DOI]

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

SEALing Neural Network Models in Encrypted Deep Learning Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs.

[BibT_eX]

[DOI]

ACM Trans. Archit. Code Optim., 2020

Rethinking the performance comparison between SNNS and ANNS.

[BibT_eX]

[DOI]

Neural Networks, 2020

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.

[BibT_eX]

[DOI]

IEEE J. Solid State Circuits, 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2020

SEALing Neural Network Models in Secure Deep Learning Accelerators.

[BibT_eX]

[DOI]

CoRR, 2020

Sequence Triggered Hardware Trojan in Neural Network Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE VLSI Test Symposium, 2020

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

HyGCN: A GCN Accelerator with Hybrid Architecture.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.

[BibT_eX]

[DOI]

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.

[BibT_eX]

[DOI]

CoRR, 2019

Programmable Neural Network Trojan for Pre-Trained Feature Extractor.

[BibT_eX]

[DOI]

CoRR, 2019

NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2019

Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019

Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/ACM International Symposium on Low Power Electronics and Design, 2019

Dynamic Sparse Graph for Efficient Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture, 2019

CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Memory Trojan Attack on Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Memory-Bound Proof-of-Work Acceleration for Blockchain Applications.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Die Stacking Is Happening.

[BibT_eX]

[DOI]

Xing Hu

Dylan C. Stow

Yuan Xie

IEEE Micro, 2018

Batch Normalization Sampling.

[BibT_eX]

[DOI]

CoRR, 2018

Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2018

Crossbar-Aware Neural Network Pruning.

[BibT_eX]

[DOI]

IEEE Access, 2018

SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

An automated approach to estimating code coverage measures via execution logs.

[BibT_eX]

[DOI]

Zhen Ming (Jack) Jiang

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

RADAR: a 3D-reRAM based DNA alignment accelerator architecture.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Design Automation Conference, 2018

2016

TSocket: Thermal Sustainable Power Budgeting.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2016

2014

Orchestrator: Guarding Against Voltage Emergencies in Multithreaded Applications.

[BibT_eX]

[DOI]

IEEE Trans. Very Large Scale Integr. Syst., 2014

Thermal-Sustainable Power Budgeting for Dynamic Threading.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

SwimmingLane: A composite approach to mitigate voltage droop effects in 3D power delivery network.

[BibT_eX]

[DOI]

Proceedings of the 19th Asia and South Pacific Design Automation Conference, 2014

2013

Orchestrator: a low-cost solution to reduce voltage emergencies for multi-threaded applications.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation and Test in Europe, 2013

2011

A cost-effective substantial-impact-filter based method to tolerate voltage emergencies.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation and Test in Europe, 2011

Xing Hu

Timeline

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