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Lin Liu

53 papers · 2017–2026 · 14 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 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) ACL (1) ACML (1) JMLR (1) WACV (1)

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