Xiaowen Chu
29 papers · 2019–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(13)
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(7)
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The Questioner
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Venues
Top co-authors
Research topics
Artificial Intelligence
(18)
Machine Learning
(18)
Core AI
(14)
Deep Learning
(12)
Application Areas
(10)
Natural Language Processing
(6)
Learning Paradigms
(6)
Learning Types
(6)
Optimization & Theory Β· Machine Learning
(6)
Core Methods
(5)
Optimization & Theory Β· Deep Learning
(5)
Resources & Methods
(5)
Computer Vision
(4)
Analysis
(3)
Architectures
(3)
Keywords
large language model
(7)
neural architecture search
(4)
model compression
(4)
federated learning
(4)
data heterogeneity
(3)
knowledge editing
(3)
language model
(3)
cost volume
(2)
genetic programming
(2)
ranking consistency
(2)
model editing
(2)
knowledge retention
(2)
depth estimation
(2)
convolutional neural network
(2)
client drift
(2)
one-shot learning
(2)
3d reconstruction
(2)
disparity estimation
(1)
domain adaptation
(1)
causal inference
(1)
Papers
FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph
ACL 2026
SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
AAAI 2026
AdaEdit: Advancing Continuous Knowledge Editing For Large Language Models
ACL 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression
ICML 2025
Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection
ICLR 2025
ParZC: Parametric Zero-Cost Proxies for Efficient NAS
AAAI 2025
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research
EMNLP 2025
ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
MICCAI 2025
STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs
ICLR 2025
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
ACL 2025
BitDistiller: Unleashing the Potential of Sub-4-Bit LLMs via Self-Distillation
ACL 2024
Can We Continually Edit Language Models? On the Knowledge Attenuation in Sequential Model Editing
ACL 2024
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning
AAAI 2024
Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models
NeurIPS 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
ICLR 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
NeurIPS 2024
LongGenBench: Long-context Generation Benchmark
EMNLP 2024
LPZero: Language Model Zero-cost Proxy Search from Zero
EMNLP 2024
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
ECCV 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models
ICML 2024
Should We Really Edit Language Models? On the Evaluation of Edited Language Models
NeurIPS 2024
NAS-LID: Efficient Neural Architecture Search with Local Intrinsic Dimension
AAAI 2023
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
AAAI 2023
EAGAN: Efficient Two-Stage Evolutionary Architecture Search for GANs
ECCV 2022
EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
ECCV 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
ICML 2022
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans
AAAI 2021
EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual
CVPR 2021
A Convergence Analysis of Distributed SGD with Communication-Efficient Gradient Sparsification
IJCAI 2019