Zhengzhang Chen
19 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (12) πΊοΈ Taxonomy Completionist (28)
πΊοΈ
Taxonomy Completionist
(28)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π
Grand Slam
π€
Dynamic Duo
(11)
π
Century Club
(12)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(60)
π
Conference Pioneer
Conferences
ACL (5)
IJCAI (4)
AAAI (3)
EACL (2)
CVPR (1)
ICLR (1)
ICML (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
multi-agent system
(2)
gaussian mixture model
(2)
adversarial robustness
(1)
variational inference
(1)
domain adaptation
(1)
model selection
(1)
causal discovery
(1)
graph matching
(1)
attention mechanism
(1)
knowledge editing
(1)
expectation maximization
(1)
face recognition
(1)
incremental learning
(1)
dynamic routing
(1)
multi-modal learning
(1)
time series forecasting
(1)
user modeling
(1)
hierarchical network
(1)
face analysis
(1)
Papers
Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement
EACL 2026
Uncertainty-Aware Test-Time Search for Optimization Problem Solving
ACL 2026
Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
ACL 2026
Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
ACL 2026
MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery
AAAI 2026
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
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery
ACL 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
ICML 2025
MixLLM: Dynamic Routing in Mixed Large Language Models
NAACL 2025
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning
NIPS 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
Forecast Oriented Classification of Spatio-Temporal Extreme Events
IJCAI 2013
Detecting and Tracking Disease Outbreaks by Mining Social Media Data
IJCAI 2013