Wei LIN
74 papers · 2012–2026 · 15 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (15) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (12) ๐งญ Keyword Pioneer ๐ Academic Marathon (13)
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Taxonomy Completionist
(12)
๐งญ
Keyword Pioneer
๐
Interdisciplinary Bridge
๐
Keyword Champion
(2)
๐
Grand Slam
๐ฅ
Mega-Team
(32)
๐๏ธ
Keyword Collector
(279)
๐
Conference Pioneer
๐
Century Club
(71)
๐ฅ
Unstoppable
(8)
โก
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)
Top co-authors
Keywords
large language model
(8)
knowledge distillation
(5)
domain adaptation
(5)
model compression
(4)
representation learning
(4)
crowd counting
(4)
distribution shift
(3)
graph neural network
(3)
vision-language model
(3)
node classification
(3)
neural network optimization
(2)
information retrieval
(2)
semi-supervised learning
(2)
neural architecture search
(2)
benchmark evaluation
(2)
point cloud
(2)
zero-shot learning
(2)
transfer learning
(2)
bert compression
(2)
video recognition
(2)
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 AggregationโHeterogeneity 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