Zidong Du

Orcid: 0000-0002-7603-4210

According to our database¹, Zidong Du authored at least 93 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., July, 2024

Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses.

[BibT_eX]

[DOI]

ACM Trans. Archit. Code Optim., June, 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

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

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

Emergent Communication for Numerical Concepts Generalization.

[BibT_eX]

[DOI]

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

Hardware Acceleration for SLAM in Mobile Systems.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., December, 2023

Chip design with machine learning: a survey from algorithm perspective.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., November, 2023

Learning controllable elements oriented representations for reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

Rescue to the Curse of universality.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., September, 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

Emergent Communication for Rules Reasoning.

[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

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

[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

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 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

OctCNN: A High Throughput FPGA Accelerator for CNNs Using Octave Convolution Algorithm.

[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

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System.

[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

Accelerating Sparse Convolution with Column Vector-Wise Sparsity.

[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

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

In-situ self-powered intelligent vision system with inference-adaptive energy scheduling for BNN-based always-on perception.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

CoRR, 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

2020

ParaML: A Polyvalent Multicore Accelerator for Machine Learning.

[BibT_eX]

[DOI]

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

Machine Learning Computers With Fractal von Neumann Architecture.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2020

Self-Aware Neural Network Systems: A Survey and New Perspective.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Rubik: A Hierarchical Architecture for Efficient Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2020

ALT: Optimizing Tensor Compilation in Deep Learning Compilers with Active Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Computer Design, 2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.

[BibT_eX]

[DOI]

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Fixed-Point Back-Propagation Training.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Addressing Sparsity in Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Cambricon-F: machine learning computers with fractal von neumann architecture.

[BibT_eX]

[DOI]

Proceedings of the 46th International Symposium on Computer Architecture, 2019

TDSNN: From Deep Neural Networks to Deep Spike Neural Networks with Temporal-Coding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

An Instruction Set Architecture for Machine Learning.

[BibT_eX]

[DOI]

ACM Trans. Comput. Syst., 2018

BenchIP: Benchmarking Intelligence Processors.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2018

DLIR: An Intermediate Representation for Deep Learning Processors.

[BibT_eX]

[DOI]

Huiying Lan

Zidong Du

Proceedings of the Network and Parallel Computing, 2018

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach.

[BibT_eX]

[DOI]

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

2017

An Accelerator for High Efficient Vision Processing.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

BENCHIP: Benchmarking Intelligence Processors.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Cambricon-X: An accelerator for sparse neural networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Cambricon: An Instruction Set Architecture for Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

2015

A Small-Footprint Accelerator for Large-Scale Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Comput. Syst., 2015

Leveraging the Error Resilience of Neural Networks for Designing Highly Energy Efficient Accelerators.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015

A High-Throughput Neural Network Accelerator.

[BibT_eX]

[DOI]

IEEE Micro, 2015

Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches.

[BibT_eX]

[DOI]

Zidong Du

Daniel D. Ben-Dayan Rubin

Proceedings of the 48th International Symposium on Microarchitecture, 2015

ShiDianNao: shifting vision processing closer to the sensor.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Symposium on Computer Architecture, 2015

Retraining-based timing error mitigation for hardware neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

Performance Portability Across Heterogeneous SoCs Using a Generalized Library-Based Approach.

[BibT_eX]

[DOI]

ACM Trans. Archit. Code Optim., 2014

DianNao: a small-footprint high-throughput accelerator for ubiquitous machine-learning.

[BibT_eX]

[DOI]

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators.

[BibT_eX]

[DOI]

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

2012

A "Near-the-Best" System-Level Design Methodology of Multi-Core H.264 Video Decoder Based on the Parallelized Multi-Core Simulator.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., 2012

2011

System-Level Evaluation of Video Processing System Using SimpleScalar-Based Multi-core Processor Simulator.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Autonomous Decentralized Systems, 2011

Zidong Du

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...