Guanchu Wang
18 papers · 2020–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(39)
π€
Dynamic Duo
(12)
π
Triple Crown
π
Grand Slam
π₯
Unstoppable
(6)
π
Century Club
(16)
β‘
Prolific Year
(5)
β
The Questioner
ποΈ
Keyword Collector
(81)
Conferences
EMNLP (4)
ICML (3)
NIPS (3)
AAAI (2)
ACL (2)
AISTATS (1)
EACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Research topics
Keywords
large language model
(7)
deep neural network
(3)
reinforcement learning
(2)
representation learning
(2)
multi-agent system
(2)
model compression
(2)
memory efficiency
(2)
question answering
(2)
anomaly detection
(1)
model security
(1)
continual learning
(1)
domain generalization
(1)
algorithmic fairness
(1)
ensemble learning
(1)
few-shot learning
(1)
attention mechanism
(1)
model calibration
(1)
stochastic gradient descent
(1)
matrix factorization
(1)
independent component analysis
(1)
Papers
FaithLM: Towards Faithful Explanations for Large Language Models
EACL 2026
Catastrophic Forgetting in Kolmogorov-Arnold Networks
AAAI 2026
Self-Ensemble: Mitigating Confidence Distortion for Large Language Models
EMNLP 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
AISTATS 2025
A Decoupled Multi-Agent Framework for Complex Text Style Transfer
EMNLP 2025
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion
EMNLP 2024
TVE: Learning Meta-attribution for Transferable Vision Explainer
ICML 2024
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches
EMNLP 2024
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NIPS 2023
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model
NIPS 2023
CoRTX: Contrastive Framework for Real-time Explanation
ICLR 2023
Accelerating Shapley Explanation via Contributive Cooperator Selection
ICML 2022
TODS: An Automated Time Series Outlier Detection System
AAAI 2021
Fairness via Representation Neutralization
NIPS 2021
Independent Skill Transfer for Deep Reinforcement Learning
IJCAI 2020