Zhiyuan Zhang
37 papers · 2019–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Zhiyuan Zhang?
7 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xu Sun, Xuancheng Ren, Qi Su
15 papers
· 2019–2024
· EMNLP, NeurIPS, NAACL
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Enhancing Byzantine-Resistant Aggregations with Client Embedding
EMNLP 2024
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
ACL 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
NeurIPS 2023
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation
EMNLP 2022
Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
EMNLP 2022
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
EMNLP 2022
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
EMNLP 2022
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
ICLR 2022
No Stock is an Island: Learning Internal and Relational Attributes of Stocks with Contrastive Learning
EMNLP 2022
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
NAACL 2021
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
AAAI 2021
Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects
NAACL 2021
Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models
EMNLP 2020
Rethinking Skip Connection with Layer Normalization
COLING 2020
Understanding and Improving Layer Normalization
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
MoSCo: Real-time and Efficient Text-to-Motion Synthesis via Delta Training
WACV 2026
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
CVPR 2025
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
ICLR 2024
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
ECCV 2024
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning
EMNLP 2021
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
IJCAI 2020
ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics
ICCV 2019