Lin Li
90 papers · 2016–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 28 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Lin Li?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xiaohui Tao, Jingling Yuan, Qing Xie
12 papers
· 2020–2026
· AAAI, IJCAI, COLING
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Exploring Selective Avoidance for Online User Behavior Analysis: A Forest of Thought Explanation
AAAI 2026
Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
AAAI 2026
A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions
IJCAI 2025
MATO: A Model-Agnostic Training Optimization for Aspect Sentiment Triplet Extraction
NAACL 2025
Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning
IJCAI 2025
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles
AAAI 2025
Majority Rules Guided Aspect-Category Based Sentiment Analysis via Label Prior Knowledge
COLING 2024
Visual Pivoting Unsupervised Multimodal Machine Translation in Low-Resource Distant Language Pairs
EMNLP 2024
Descriptive Prompt Paraphrasing for Target-Oriented Multimodal Sentiment Classification
EMNLP 2023
Long Legal Article Question Answering via Cascaded Key Segment Learning (Student Abstract)
AAAI 2023
Towards the Quantitative Interpretability Analysis of Citizens Happiness Prediction
IJCAI 2022
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information
COLING 2020
19 papers whose co-authors appear nowhere else under this name
Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract)
AAAI 2026
Automated Pore Detection from In-Situ FDM 3D Printing Video: A Comparative Evaluation of Modern Segmentation Models
WACV 2026
C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models
AAAI 2026
Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation
AAAI 2026
How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective
AAAI 2026
Personalize Anything for Free with Diffusion Transformer
AAAI 2026
Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge
CVPR 2025
L2M2: A Hierarchical Framework Integrating Large Language Model and Multi-agent Reinforcement Learning
IJCAI 2025
ReSeg-UNet: A Reconstruction-Guided Optimization Framework for Enhanced Medical Image Segmentation
MICCAI 2025
Unsupervised Anomaly Detection on Preclinical Liver H&E Whole Slide Images using Graph based Feature Distillation
MICCAI 2025
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
CVPR 2024
VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
ACL 2024
ZONE: Zero-Shot Instruction-Guided Local Editing
CVPR 2024
A Binary Keyword Spotting System with Error-Diffusion Based Feature Binarization
Interspeech 2023
MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract)
AAAI 2023
Robust Training for Speaker Verification against Noisy Labels
Interspeech 2023
Code Generation From Flowcharts with Texts: A Benchmark Dataset and An Approach
EMNLP 2022
DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception
WACV 2022
Selecting Portfolios Directly Using Recurrent Reinforcement Learning (Student Abstract)
AAAI 2020