← Authors

Lin Liu

52 papers · 2017–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) πŸ—ΊοΈ Taxonomy Completionist (90) 🌍 Conference Polyglot (13) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (49) πŸ“ˆ Trend Setter ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (213)

Conferences

AAAI (13) INTERSPEECH (7) ICCV (5) IJCAI (5) EMNLP (4) ICLR (4) CVPR (3) ECCV (3) NIPS (3) ICML (2) ACML (1) JMLR (1) WACV (1)

Top co-authors

Jiuyong Li (14) Debo Cheng (11) Jixue Liu (8) Li-Rong Dai (7) Ian McLoughlin (7) Yan Song (7) Qi Tian (7) Ziqi Xu (6) Jianzhuang Liu (5) Thuc Duy Le (5)

Research topics

Privacy (1) Statistics (1)

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

O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing AAAI 2026
Learning Fair Graph Representations via Probability of Necessity and Sufficiency AAAI 2026
Accelerating Controllable Generation via Hybrid-grained Cache AAAI 2026
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction IJCAI 2025
Diffusion Models for Attribution AAAI 2025
GenAuction: A Generative Auction for Online Advertising AAAI 2025
Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving CVPR 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
PROL : Rehearsal Free Continual Learning in Streaming Data via Prompt Online Learning ICCV 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache 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
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems IJCAI 2025
Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection WACV 2025
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine AAAI 2024
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection ECCV 2024
Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval EMNLP 2024
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder ICLR 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation ICML 2024
Diffusion-based Adversarial Attack to Automatic Speech Recognition ACML 2024
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM IJCAI 2024
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
Fine-tuning Audio Spectrogram Transformer with Task-aware Adapters for Sound Event Detection INTERSPEECH 2023
Robust Prototype Learning for Anomalous Sound Detection INTERSPEECH 2023
Adaptive Hyper-parameter Learning for Deep Semantic Retrieval EMNLP 2023
Disentangled Representation for Causal Mediation Analysis AAAI 2023
Face Clustering via Graph Convolutional Networks with Confidence Edges ICCV 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model NIPS 2023
Low-Light Video Enhancement with Synthetic Event Guidance AAAI 2023
DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings ICCV 2023
Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023
Class-Aware Distribution Alignment based Unsupervised Domain Adaptation for Speaker Verification INTERSPEECH 2022
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers AAAI 2022
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep Learning NIPS 2022
TAPE: Task-Agnostic Prior Embedding for Image Restoration ECCV 2022
Ancestral Instrument Method for Causal Inference without Complete Knowledge IJCAI 2022
A Weight Moving Average Based Alternate Decoupled Learning Algorithm for Long-Tailed Language Identification INTERSPEECH 2021
An Effective Mutual Mean Teaching Based Domain Adaptation Method for Sound Event Detection INTERSPEECH 2021
Treatment Effect Estimation with Disentangled Latent Factors AAAI 2021
Adaptive estimation of nonparametric functionals JMLR 2021
An Effective Speaker Recognition Method Based on Joint Identification and Verification Supervisions INTERSPEECH 2020
Self-Adaptively Learning to DemoirΓ© from Focused and Defocused Image Pairs NIPS 2020
An Effective Perturbation Based Semi-Supervised Learning Method for Sound Event Detection INTERSPEECH 2020
Wavelet-Based Dual-Branch Network for Image DemoirΓ©ing ECCV 2020
Joint Demosaicing and Denoising With Self Guidance CVPR 2020
Hierarchical Feature Embedding for Attribute Recognition CVPR 2020
A Structural Representation Learning for Multi-relational Networks IJCAI 2017