Wei LIN

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

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (11) 🌍 Conference Polyglot (15) 🏃 Academic Marathon (13) 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏆 Keyword Champion (2) 🏆 Grand Slam 👥 Mega-Team (32) 🗃️ Keyword Collector (279) 🚀 Conference Pioneer 💎 Century Club (71) 🔥 Unstoppable (8) ⚡ Prolific Year (11)

Conferences

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

Top co-authors

Qunxi Zhu (8) Horst Possegger (7) Horst Bischof (6) Mateusz Kozinski (6) Hilde Kuehne (5) Jingdong Zhang (5) Jingren Zhou (5) Guojun Yin (5) Muhammad Jehanzeb Mirza (5) Yong Li (5)

Keywords

large language model (7) knowledge distillation (5) domain adaptation (5) crowd counting (4) model compression (4) representation learning (4) distribution shift (3) graph neural network (3) vision-language model (3) node classification (3) semi-supervised learning (2) point cloud (2) benchmark evaluation (2) neural network optimization (2) neural architecture search (2) knowledge graph (2) zero-shot learning (2) transfer learning (2) data augmentation (2) attention mechanism (2)

Papers

Promoting Efficient Reasoning with Verifiable Stepwise Reward AAAI 2026

Robust 3D Object Detection using Probabilistic Point Clouds from Single-Photon LiDARs 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

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

Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting CVPR 2025

PerLA: Perceptive 3D Language Assistant CVPR 2025

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production NSDI 2025

Efficient Long Context Fine-tuning with Chunk Flow ICML 2025

Neural Event-Triggered Control with Optimal Scheduling ICML 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

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

KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles ICCV 2025

HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search ACL 2025

Multi-level Relevance Document Identifier Learning for Generative Retrieval ACL 2025

PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization CVPR 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

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning 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

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

MATE: Masked Autoencoders are Online 3D Test-Time Learners ICCV 2023

ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023

The Aggregation–Heterogeneity Trade-off in Federated Learning COLT 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections NIPS 2023

SKDBERT: Compressing BERT via Stochastic Knowledge Distillation AAAI 2023

HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level ACL 2023

OFDVDnet: A Sensor Fusion Approach for Video Denoising in Fluorescence-Guided Surgery MIDL 2023

Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting CVPR 2023

SYNC: SAFETY-AWARE NEURAL CONTROL FOR STABILIZING STOCHASTIC DELAY-DIFFERENTIAL EQUATIONS ICLR 2023

Video Test-Time Adaptation for Action Recognition CVPR 2023

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge ICCV 2023

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing EMNLP 2022

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning IJCAI 2022

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network IJCAI 2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters NSDI 2022

CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video ECCV 2022

Neural Stochastic Control NIPS 2022

Neural Piecewise-Constant Delay Differential Equations AAAI 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 ACL 2015

Revisiting Word Embedding for Contrasting Meaning IJCNLP 2015

Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing OSDI 2014

Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE OSDI 2012

Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions NSDI 2012