Rui Zhang

Orcid: 0000-0001-8691-8549

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Key Laboratory of Intelligent Information Processing, Beijing, China


According to our database1, Rui Zhang authored at least 75 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space.
IEEE Trans. Parallel Distributed Syst., July, 2024

REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection.
IEEE Trans. Image Process., 2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.
CoRR, 2024

Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Models.
CoRR, 2024

DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization.
CoRR, 2024

CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization.
CoRR, 2024

InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct.
CoRR, 2024

Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization.
CoRR, 2024

SEP: Self-Enhanced Prompt Tuning for Visual-Language Model.
CoRR, 2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification.
CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.
CoRR, 2024

Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Automated CPU Design by Learning from Input-Output Examples.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Prompt-based Visual Alignment for Zero-shot Policy Transfer.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AutoOS: Make Your OS More Powerful by Exploiting Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RecurrentBEV: A Long-Term Temporal Fusion Framework for Multi-view 3D Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation.
Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TCP: Textual-Based Class-Aware Prompt Tuning for Visual-Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Emergent Communication for Numerical Concepts Generalization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Chip design with machine learning: a survey from algorithm perspective.
Sci. China Inf. Sci., November, 2023

Learning controllable elements oriented representations for reinforcement learning.
Neurocomputing, September, 2023

Local-Global Cross Fusion Network With Gaussian-Initialized Learnable Positional Prompting for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning.
CoRR, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.
CoRR, 2023

Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training.
CoRR, 2023

Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation.
CoRR, 2023

ANPL: Compiling Natural Programs with Interactive Decomposition.
CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.
CoRR, 2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.
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.
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.
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.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Online Prototype Alignment for Few-shot Policy Transfer.
Proceedings of the International Conference on Machine Learning, 2023

BALTO: fast tensor program optimization with diversity-based active learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Visual-Language Prompt Tuning with Knowledge-Guided Context Optimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Online Symbolic Regression with Informative Query.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Consensus Feature Network for Scene Parsing.
IEEE Trans. Multim., 2022

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training.
IEEE Trans. Image Process., 2022

Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers.
IEEE Trans. Computers, 2022

Temporal Correlation-Diversity Representations for Video-Based Person Re-Identification.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Object-Category Aware Reinforcement Learning.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Program Synthesis with Query.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
CGNet: A Light-Weight Context Guided Network for Semantic Segmentation.
IEEE Trans. Image Process., 2021

A Decomposable Winograd Method for N-D Convolution Acceleration in Video Analysis.
Int. J. Comput. Vis., 2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms.
CoRR, 2021

Distilling Object Detectors with Feature Richness.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Domain-Specific Suppression for Adaptive Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Perspective-Adaptive Convolutions for Scene Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Ahff-Net: Adaptive Hierarchical Feature Fusion Network For Image Inpainting.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fixed-Point Back-Propagation Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Asymmetric GAN for Unpaired Image-to-Image Translation.
IEEE Trans. Image Process., 2019

Consensus Feature Network for Scene Parsing.
CoRR, 2019

Tree-Structured Kronecker Convolutional Network for Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
CGNet: A Light-weight Context Guided Network for Semantic Segmentation.
CoRR, 2018

Style Separation and Synthesis via Generative Adversarial Networks.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

High Resolution Feature Recovering for Accelerating Urban Scene Parsing.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Multi-modal tag localization for mobile video search.
Multim. Syst., 2017

Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scale-Adaptive Convolutions for Scene Parsing.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Multimodal tag localization based on deep learning.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015


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