Zhengzhang Chen
19 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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(15)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Artificial Intelligence
(13)
Core AI
(11)
Machine Learning
(9)
Core Methods
(5)
Deep Learning
(4)
Application Areas
(3)
Learning Types
(3)
Data Science & Analytics
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Models
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Keywords
large language model
(6)
gaussian mixture model
(3)
multi-agent system
(2)
expectation maximization
(2)
variational inference
(1)
domain adaptation
(1)
adversarial robustness
(1)
graph matching
(1)
model selection
(1)
embedding learning
(1)
attention mechanism
(1)
knowledge editing
(1)
multimodal learning
(1)
causal discovery
(1)
incremental learning
(1)
face recognition
(1)
fine-grained classification
(1)
dynamic routing
(1)
model fusion
(1)
face analysis
(1)
Papers
Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
EACL 2026
LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory
ACL 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
ACL 2026
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
ICML 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
NeurIPS 2023
Superclass-Conditional Gaussian Mixture Model For Learning Fine-Grained Embeddings
ICLR 2022
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series
AAAI 2021
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems
CVPR 2021
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
AAAI 2020
Heterogeneous Graph Matching Networks for Unknown Malware Detection
IJCAI 2019
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events
IJCAI 2016
Detecting and Tracking Disease Outbreaks by Mining Social Media Data
IJCAI 2013
Forecast Oriented Classification of Spatio-Temporal Extreme Events
IJCAI 2013