Chenxi Liu
33 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π Academic Marathon (10) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(61)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(5)
π
Conference Pioneer
β
The Questioner
ποΈ
Keyword Collector
(119)
π
Century Club
(31)
π
Trend Setter
π₯
Unstoppable
(9)
Conferences
CVPR (8)
ECCV (5)
ICCV (5)
AAAI (4)
ICLR (4)
NIPS (2)
ACL (1)
ICML (1)
IJCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
large language model
(5)
autonomous driving
(2)
motion forecasting
(2)
unsupervised learning
(2)
vision-language model
(2)
semantic segmentation
(1)
domain adaptation
(1)
continual learning
(1)
transfer learning
(1)
probabilistic modeling
(1)
contrastive learning
(1)
causal discovery
(1)
medical imaging
(1)
knowledge distillation
(1)
dependency parsing
(1)
few-shot learning
(1)
model evaluation
(1)
prompt engineering
(1)
point cloud
(1)
benchmark evaluation
(1)
Papers
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
AAAI 2026
Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs
AAAI 2026
Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era
IJCAI 2025
A Watermark for Order-Agnostic Language Models
ICLR 2025
Federated Continuous Category Discovery and Learning
ICCV 2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
AAAI 2025
Discovery of the Hidden World with Large Language Models
NIPS 2024
ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark
NIPS 2024
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection
ACL 2024
De-Diffusion Makes Text a Strong Cross-Modal Interface
CVPR 2024
Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
ECCV 2024
Causal Structure Learning for Latent Intervened Non-stationary Data
ICML 2023
Deja Vu: Continual Model Generalization for Unseen Domains
ICLR 2023
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
CVPR 2023
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds
ECCV 2022
Scene Transformer: A unified architecture for predicting future trajectories of multiple agents
ICLR 2022
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
ICLR 2022
FalCon: Fine-Grained Feature Map Sparsity Computing With Decomposed Convolutions for Inference Optimization
WACV 2022
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds
ECCV 2022
Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement
CVPR 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset
ICCV 2021
Are Labels Necessary for Neural Architecture Search?
ECCV 2020
Identifying Model Weakness with Adversarial Examiner
AAAI 2020
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation
CVPR 2019
Adversarial Attacks Beyond the Image Space
CVPR 2019
CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions
CVPR 2019
Few-Shot Image Recognition by Predicting Parameters From Activations
CVPR 2018
Progressive Neural Architecture Search
ECCV 2018
Scene Graph Parsing as Dependency Parsing
NAACL 2018
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ICCV 2017
SORT: Second-Order Response Transform for Visual Recognition
ICCV 2017
Recurrent Multimodal Interaction for Referring Image Segmentation
ICCV 2017
Rent3D: Floor-Plan Priors for Monocular Layout Estimation
CVPR 2015