Lin Liu
53 papers · 2017–2026 · 14 conferences · across top CS/AI conferences
Achievements
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Taxonomy Completionist
(90)
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Conference Polyglot
(13)
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Dynamic Duo
(13)
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Grand Slam
π₯
Unstoppable
(6)
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Century Club
(49)
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Trend Setter
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Prolific Year
(5)
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Keyword Collector
(213)
Conferences
AAAI (13)
INTERSPEECH (7)
ICCV (5)
IJCAI (5)
EMNLP (4)
ICLR (4)
CVPR (3)
ECCV (3)
NIPS (3)
ICML (2)
ACL (1)
ACML (1)
JMLR (1)
WACV (1)
Top co-authors
Research topics
Keywords
causal inference
(9)
latent confounder
(4)
generative model
(4)
instrumental variable
(4)
semi-supervised learning
(3)
image restoration
(3)
representation learning
(3)
sound event detection
(3)
large language model
(3)
diffusion model
(3)
recommender system
(2)
metric learning
(2)
distribution alignment
(2)
domain adaptation
(2)
disentangled representation
(2)
transfer learning
(2)
speaker verification
(2)
image processing
(2)
self-supervised learning
(2)
knowledge distillation
(2)
Papers
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit
ACL 2026
Accelerating Controllable Generation via Hybrid-grained Cache
AAAI 2026
O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing
AAAI 2026
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning
ICCV 2025
Federated Few-Shot Class-Incremental Learning
ICLR 2025
Vision and Language Synergy for Rehearsal Free Continual Learning
ICLR 2025
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
ICML 2025
Diffusion Models for Attribution
AAAI 2025
GenAuction: A Generative Auction for Online Advertising
AAAI 2025
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection
WACV 2025
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
CVPR 2025
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
IJCAI 2025
A Middle Path for On-Premises LLM Deployment: Preserving Privacy Without Sacrificing Model Confidentiality
EMNLP 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction
ICCV 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache
ICCV 2025
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
AAAI 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
AAAI 2024
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
AAAI 2024
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
ICLR 2024
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
ECCV 2024
Diffusion-based Adversarial Attack to Automatic Speech Recognition
ACML 2024
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
IJCAI 2024
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
ICML 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval
EMNLP 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
ICLR 2024
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection
INTERSPEECH 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model
NIPS 2023
Low-Light Video Enhancement with Synthetic Event Guidance
AAAI 2023
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval
EMNLP 2023
Face Clustering via Graph Convolutional Networks with Confidence Edges
ICCV 2023
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings
ICCV 2023
Robust Prototype Learning for Anomalous Sound Detection
INTERSPEECH 2023
Ancestral Instrument Method for Causal Inference without Complete Knowledge
IJCAI 2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration
ECCV 2022
Class-Aware Distribution Alignment based Unsupervised Domain Adaptation for Speaker Verification
INTERSPEECH 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning
NIPS 2022
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers
AAAI 2022
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection
INTERSPEECH 2021
A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification
INTERSPEECH 2021
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021
Adaptive estimation of nonparametric functionals
JMLR 2021
Joint Demosaicing and Denoising With Self Guidance
CVPR 2020
An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions
INTERSPEECH 2020
Hierarchical Feature Embedding for Attribute Recognition
CVPR 2020
Self-Adaptively Learning to DemoirΓ© from Focused and Defocused Image Pairs
NIPS 2020
Wavelet-Based Dual-Branch Network for Image DemoirΓ©ing
ECCV 2020
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection
INTERSPEECH 2020
A Structural Representation Learning for Multi-relational Networks
IJCAI 2017