Zonghan Yang
16 papers · 2018–2025 · 8 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 (36) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(12)
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Keyword Collector
(80)
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Trend Setter
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Century Club Β· Bronze
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Research topics
Artificial Intelligence
(9)
Deep Learning
(8)
Machine Learning
(8)
Core AI
(7)
Natural Language Processing
(6)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Applications
(3)
Architectures
(3)
Models
(3)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Keywords
adversarial robustness
(4)
text generation
(3)
pre-trained language model
(3)
text classification
(2)
deep equilibrium model
(2)
adversarial training
(2)
large language model
(2)
model compression
(2)
gradient obfuscation
(2)
neural network
(2)
adversarial learning
(1)
hyperparameter optimization
(1)
knowledge distillation
(1)
neural machine translation
(1)
catastrophic forgetting
(1)
model quantization
(1)
domain adaptation
(1)
working memory
(1)
transfer learning
(1)
continual learning
(1)
Papers
Adversarial Robust Memory-Based Continual Learner
ICCV 2025
Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages
EMNLP 2025
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models
COLING 2025
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs
ACL 2024
Position: Towards Unified Alignment Between Agents, Humans, and Environment
ICML 2024
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models
ACL 2023
Exploring the Impact of Model Scaling on Parameter-Efficient Tuning
EMNLP 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
ICML 2023
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
ICLR 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
NeurIPS 2022
On Robust Prefix-Tuning for Text Classification
ICLR 2022
Alternated Training with Synthetic and Authentic Data for Neural Machine Translation
ACL 2021
Interpolation between Residual and Non-Residual Networks
ICML 2020
Reducing Word Omission Errors in Neural Machine Translation: A Contrastive Learning Approach
ACL 2019
Chinese Poetry Generation with a Working Memory Model
IJCAI 2018