Sheng Zha
20 papers · 2018–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (47) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Keyword Pioneer
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(91)
Top co-authors
Research topics
Deep Learning
(13)
Machine Learning
(12)
Artificial Intelligence
(10)
Application Areas
(8)
Core AI
(8)
Natural Language Processing
(7)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(5)
Learning Paradigms
(4)
Models
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Techniques
(4)
Generation
(3)
Computer Science
(2)
Keywords
large language model
(4)
transfer learning
(3)
code completion
(3)
differential privacy
(3)
foundation model
(2)
pre-trained model
(2)
computer vision
(2)
distribution shift
(2)
language model
(2)
natural language processing
(2)
text classification
(2)
multi-task learning
(2)
instruction following
(2)
code language model
(2)
code generation
(2)
deep learning
(2)
gradient clipping
(2)
program synthesis
(2)
model calibration
(1)
hypergraph learning
(1)
Papers
Sequence-level Large Language Model Training with Contrastive Preference Optimization
NAACL 2025
DEM: Distribution Edited Model for Training with Mixed Data Distributions
EMNLP 2024
Differentially Private Bias-Term Fine-tuning of Foundation Models
ICML 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness
ACL 2024
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs
ACL 2024
Pre-training Differentially Private Models with Limited Public Data
NeurIPS 2024
Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger
NeurIPS 2023
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
AAAI 2023
Differentially Private Optimization on Large Model at Small Cost
ICML 2023
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer
EMNLP 2023
HyTrel: Hypergraph-enhanced Tabular Data Representation Learning
NeurIPS 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs
NeurIPS 2023
Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
NAACL 2022
Meta-learning via Language Model In-context Tuning
ACL 2022
Distiller: A Systematic Study of Model Distillation Methods in Natural Language Processing
EMNLP 2021
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
JMLR 2020
Dive into Deep Learning for Natural Language Processing
EMNLP 2019
Dive into Deep Learning for Natural Language Processing
IJCNLP 2019
Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual
EMNLP 2019
Question Type Guided Attention in Visual Question Answering
ECCV 2018