Duzhen Zhang
20 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(36)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(93)
β‘
Prolific Year
(5)
β
The Questioner
π
Century Club
(17)
π₯
Unstoppable
(5)
Conferences
ACL (7)
AAAI (4)
COLING (2)
EMNLP (2)
NIPS (2)
CVPR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
continual learning
(6)
catastrophic forgetting
(6)
emotion recognition
(3)
multimodal large language model
(3)
spiking neural network
(3)
knowledge distillation
(2)
continual instruction tuning
(2)
low-rank adaptation
(2)
named entity recognition
(2)
speaker modeling
(2)
pseudo labeling
(2)
mixture of expert
(2)
question answering
(1)
multi-task learning
(1)
knowledge transfer
(1)
style transfer
(1)
benchmark evaluation
(1)
population coding
(1)
code generation
(1)
neuronal dynamics
(1)
Papers
TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks
AAAI 2026
AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage
ACL 2026
Bring Your Dreams to Life: Continual Text-to-Video Customization
AAAI 2026
Beyond Profile: From Surface-Level Facts to Deep Persona Simulation in LLMs
ACL 2025
Enhancing Multimodal Continual Instruction Tuning with BranchLoRA
ACL 2025
Progressive LoRA for Multimodal Continual Instruction Tuning
ACL 2025
Safety in Large Reasoning Models: A Survey
EMNLP 2025
How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?
NIPS 2024
Prompt-guided Precise Audio Editing with Diffusion Models
ICML 2024
Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition
ACL 2024
MM-LLMs: Recent Advances in MultiModal Large Language Models
ACL 2024
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs
NIPS 2023
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech Recognition
AAAI 2023
DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations
ACL 2023
Federated Incremental Semantic Segmentation
CVPR 2023
Continual Named Entity Recognition without Catastrophic Forgetting
EMNLP 2023
Recent Advances and New Frontiers in Spiking Neural Networks
IJCAI 2022
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment
COLING 2022
Multi-Sacle Dynamic Coding Improved Spiking Actor Network for Reinforcement Learning
AAAI 2022
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer
COLING 2020