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Wei LIN

74 papers · 2012–2026 · 15 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ ๐ŸŒ Conference Polyglot (15) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿ—บ๏ธ Taxonomy Completionist (12) ๐Ÿงญ Keyword Pioneer ๐Ÿƒ Academic Marathon (13)
๐Ÿ—บ๏ธ Taxonomy Completionist (12) ๐Ÿงญ Keyword Pioneer ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿ† Keyword Champion (2) ๐Ÿ† Grand Slam ๐Ÿ‘ฅ Mega-Team (32) ๐Ÿ—ƒ๏ธ Keyword Collector (279) ๐Ÿš€ Conference Pioneer ๐Ÿ’Ž Century Club (71) ๐Ÿ”ฅ Unstoppable (8) โšก Prolific Year (11)

Conferences

AAAI (10) CVPR (10) ACL (8) EMNLP (6) ICML (6) IJCAI (5) NIPS (5) OSDI (5) ECCV (4) ICCV (4) ICLR (4) NSDI (4) COLT (1) IJCNLP (1) MIDL (1)

Papers

DiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain ACL 2026 Mem2Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience Distillation ACL 2026 Promoting Efficient Reasoning with Verifiable Stepwise Reward AAAI 2026 Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems EMNLP 2025 RLAE: Reinforcement Learning-Assisted Ensemble for LLMs EMNLP 2025 Learning Like Humans: Advancing LLM Reasoning Capabilities via Adaptive Difficulty Curriculum Learning and Expert-Guided Self-Reformulation EMNLP 2025 Efficient Long Context Fine-tuning with Chunk Flow ICML 2025 PerLA: Perceptive 3D Language Assistant CVPR 2025 Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025 Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025 Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization AAAI 2025 Neural Event-Triggered Control with Optimal Scheduling ICML 2025 Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization ICLR 2025 LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content ICLR 2025 Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production NSDI 2025 Multi-level Relevance Document Identifier Learning for Generative Retrieval ACL 2025 HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search ACL 2025 Robust 3D Object Detection using Probabilistic Point Clouds from Single-Photon LiDARs ICCV 2025 KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles ICCV 2025 AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking EMNLP 2025 UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System EMNLP 2025 Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning AAAI 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NIPS 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs NIPS 2024 Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction NIPS 2024 A Fixed-Point Approach to Unified Prompt-Based Counting AAAI 2024 Hypergraph Neural Architecture Search AAAI 2024 How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation AAAI 2024 ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models ACL 2024 PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization CVPR 2024 Towards Robust Learning to Optimize with Theoretical Guarantees CVPR 2024 Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs ECCV 2024 A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks ECCV 2024 Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM ECCV 2024 From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems ICML 2024 FESSNC: Fast Exponentially Stable and Safe Neural Controller ICML 2024 A Statistical Theory of Regularization-Based Continual Learning ICML 2024 Switched Flow Matching: Eliminating Singularities via Switching ODEs ICML 2024 Llumnix: Dynamic Scheduling for Large Language Model Serving OSDI 2024 MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures OSDI 2024 SKDBERT: Compressing BERT via Stochastic Knowledge Distillation AAAI 2023 OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery MIDL 2023 The Aggregationโ€“Heterogeneity Trade-off in Federated Learning COLT 2023 SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS ICLR 2023 HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level ACL 2023 Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting CVPR 2023 MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge ICCV 2023 MATE: Masked Autoencoders are Online 3D Test-Time Learners ICCV 2023 LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections NIPS 2023 Video Test-Time Adaptation for Action Recognition CVPR 2023 ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023 EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing EMNLP 2022 MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters NSDI 2022 RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022 CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video ECCV 2022 Neural Piecewise-Constant Delay Differential Equations AAAI 2022 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022 Neural Stochastic Control NIPS 2022 Cross-View Cross-Scene Multi-View Crowd Counting CVPR 2021 Neural Delay Differential Equations ICLR 2021 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020 AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020 RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract) AAAI 2020 SwapText: Image Based Texts Transfer in Scenes CVPR 2020 Learning From Synthetic Data for Crowd Counting in the Wild CVPR 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks IJCAI 2019 Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce ACL 2018 IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection IJCAI 2018 StreamScope: Continuous Reliable Distributed Processing of Big Data Streams NSDI 2016 Revisiting Word Embedding for Contrasting Meaning IJCNLP 2015 Revisiting Word Embedding for Contrasting Meaning ACL 2015 Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing OSDI 2014 Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions NSDI 2012 Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE OSDI 2012