Shujian Zhang

Orcid: 0009-0004-2883-6018

According to our database1, Shujian Zhang authored at least 44 papers between 1990 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy.
CoRR, 2024

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe.
CoRR, 2024

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models.
CoRR, 2024

Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts.
CoRR, 2024

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.
CoRR, 2024

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Switchable Decision: Dynamic Neural Generation Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sliced Wasserstein with Random-Path Projecting Directions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

WPO: Enhancing RLHF with Weighted Preference Optimization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
AutoML-GPT: Automatic Machine Learning with GPT.
CoRR, 2023

A Prototype-Oriented Clustering for Domain Shift with Source Privacy.
CoRR, 2023

Preference-grounded Token-level Guidance for Language Model Fine-tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Visual Analysis of the Current Research Status in Acupuncture and Moxibustion Academic Thought.
Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science, 2023

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models.
Proceedings of the International Conference on Machine Learning, 2023

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Application research of athletes image segmentation based on deep learning.
Proceedings of the 2023 International Conference on Information Education and Artificial Intelligence, 2023

FlowGrad: Controlling the Output of Generative ODEs with Gradients.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Unified Framework for Alternating Offline Model Training and Policy Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ALLSH: Active Learning Guided by Local Sensitivity and Hardness.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2022

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
The influence of government transparency on governance efficiency in information age: the environmental governance behavior of Guangdong, China.
J. Enterp. Inf. Manag., 2021

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization.
CoRR, 2021

Capturing Label Distribution: A Case Study in NLI.
CoRR, 2021

Alignment Attention by Matching Key and Query Distributions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Prototype-Oriented Framework for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Network.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

Bayesian Attention Belief Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Contextual Dropout: An Efficient Sample-Dependent Dropout Module.
Proceedings of the 9th International Conference on Learning Representations, 2021

Learning with Different Amounts of Annotation: From Zero to Many Labels.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Knowing More About Questions Can Help: Improving Calibration in Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Failure mechanism of gently inclined bedding slope under hydraulic driving: The case of the Jiangyuan landslide along Heda Highway.
J. Comput. Methods Sci. Eng., 2020

Deep learning network for UAV person re-identification based on residual block.
Sci. China Inf. Sci., 2020

Bayesian Attention Modules.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2013
SoftOC: Real-time projector-wall-camera communication system.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

1999
2-by-n Hybrid Cellular Automata with Regular Configuration: Theory and Application.
IEEE Trans. Computers, 1999

1998
Evaluation in built-in self-test.
PhD thesis, 1998

1996
Notes on "Complexity of the lookup-table minimization problem for FPGA technology mapping".
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1996

1995
Evaluating the safety of self-checking circuits.
J. Electron. Test., 1995

Quantitative analysis for linear hybrid cellular automata and LFSR as built-in self-test generators for sequential faults.
J. Electron. Test., 1995

Minimal cost one-dimensional linear hybrid cellular automata of degree through 500.
J. Electron. Test., 1995

1994
Why Cellular Automata are better than LFSRs as Built-in Self-test Generators for Sequential-type Faults.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1992
BIST Generators for Sequential Faults.
Proceedings of the Proceedings 1992 IEEE International Conference on Computer Design: VLSI in Computer & Processors, 1992

1990
Estimating aliasing in CA and LFSR based signature registers.
Proceedings of the 1990 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 1990


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