Wang Lin
31 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Academic Marathon (6)
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Academic Marathon
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Cross-Pollinator
(12)
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Renaissance Researcher
(9)
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Dynamic Duo
(19)
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Deep Specialist
(13)
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Century Club
(29)
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Keyword Collector
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Prolific Year
(6)
Conferences
ACL (9)
CVPR (4)
ICCV (3)
NIPS (3)
AAAI (2)
EMNLP (2)
ICML (2)
IJCAI (2)
NAACL (2)
ECCV (1)
ICLR (1)
Top co-authors
Research topics
Keywords
contrastive learning
(6)
multimodal learning
(6)
multimodal large language model
(5)
image generation
(3)
domain adaptation
(2)
cross-modal learning
(2)
vision encoder
(2)
vision-language model
(2)
formal verification
(2)
frequency domain
(2)
cyber-physical system
(2)
kolmogorov-arnold network
(2)
diffusion model
(2)
visual speech recognition
(2)
relational learning
(1)
cognitive modeling
(1)
vision transformer
(1)
feature extraction
(1)
semantic segmentation
(1)
transfer learning
(1)
Papers
Text-Guided Multi-Scale Frequency Representation Adaptation
ACL 2026
Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction
ACL 2026
Bridging the Gap for Test-Time Multimodal Sentiment Analysis
AAAI 2025
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
CVPR 2025
Formal Synthesis of Barrier Certificates Using Fourier Kolmogorov-Arnold Network
AAAI 2025
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents
ACL 2025
Non-Natural Image Understanding with Advancing Frequency-based Vision Encoders
CVPR 2025
Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens
CVPR 2025
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment
EMNLP 2025
Cognitive-Level Adaptive Generation via Capability-Aware Retrieval and Style Adaptation
EMNLP 2025
Iris: Breaking GUI Complexity with Adaptive Focus and Self-Refining
ICCV 2025
Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision
ICLR 2025
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion Models
ICML 2025
Formal Synthesis of Safe Kolmogorov-Arnold Network Controllers with Barrier Certificates
IJCAI 2025
Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer
IJCAI 2025
Efficient Prompting for Continual Adaptation to Missing Modalities
NAACL 2025
Omni-Chart-600K: A Comprehensive Dataset of Chart Types for Chart Understanding
NAACL 2025
Instruction Tuning-free Visual Token Complement for Multimodal LLMs
ECCV 2024
Non-confusing Generation of Customized Concepts in Diffusion Models
ICML 2024
Rethinking the Multimodal Correlation of Multimodal Sequential Learning via Generalizable Attentional Results Alignment
ACL 2024
Extending Multi-modal Contrastive Representations
NIPS 2024
Action Imitation in Common Action Space for Customized Action Image Synthesis
NIPS 2024
$E^3$: Exploring Embodied Emotion Through A Large-Scale Egocentric Video Dataset
NIPS 2024
Semantic-conditioned Dual Adaptation for Cross-domain Query-based Visual Segmentation
ACL 2023
MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition
ICCV 2023
Exploring Group Video Captioning with Efficient Relational Approximation
ICCV 2023
Contrastive Token-Wise Meta-Learning for Unseen Performer Visual Temporal-Aligned Translation
ACL 2023
OpenSR: Open-Modality Speech Recognition via Maintaining Multi-Modality Alignment
ACL 2023
Weakly-Supervised Spoken Video Grounding via Semantic Interaction Learning
ACL 2023
TAVT: Towards Transferable Audio-Visual Text Generation
ACL 2023
Robustness Verification of Classification Deep Neural Networks via Linear Programming
CVPR 2019