Guannan Zhang
12 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (34) π Interdisciplinary Bridge π Conference Polyglot (11)
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Academic Marathon
(5)
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Cross-Pollinator
(13)
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Renaissance Researcher
(5)
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Century Club
(11)
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Keyword Collector
(53)
Conferences
ACL (2)
AAAI (1)
AISTATS (1)
COLING (1)
CVPR (1)
ECCV (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
NIPS (1)
UAI (1)
Top co-authors
Keywords
large language model
(3)
mixture of expert
(2)
model compression
(2)
dimensionality reduction
(1)
multi-task learning
(1)
model selection
(1)
catastrophic forgetting
(1)
variational inference
(1)
function approximation
(1)
knowledge distillation
(1)
data augmentation
(1)
text generation
(1)
hierarchical text classification
(1)
incremental learning
(1)
mutual information
(1)
global optimization
(1)
bayesian experimental design
(1)
nonlinear transformation
(1)
benchmark dataset
(1)
black-box optimization
(1)
Papers
PACE: Predictive Adaptive Context Extraction for Long-Horizon LLM Agents
ACL 2026
MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts
AAAI 2024
MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning
EMNLP 2024
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model
COLING 2024
Towards Efficient Replay in Federated Incremental Learning
CVPR 2024
Towards Better Hierarchical Text Classification with Data Generation
ACL 2023
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System
IJCAI 2023
Exploiting the Local Parabolic Landscapes of Adversarial Losses to Accelerate Black-Box Adversarial Attack
ECCV 2022
PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks
ICLR 2022
Enabling long-range exploration in minimization of multimodal functions
UAI 2021
A Scalable Gradient Free Method for Bayesian Experimental Design with Implicit Models
AISTATS 2021
Learning nonlinear level sets for dimensionality reduction in function approximation
NIPS 2019