Min Lin
54 papers · 2013–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (88) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(19)
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Dynamic Duo
(23)
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Keyword Champion
(3)
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Keyword Pioneer
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Triple Crown
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
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Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(7)
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Keyword Collector
(240)
Venues
Top co-authors
Research topics
Machine Learning
(40)
Deep Learning
(25)
Artificial Intelligence
(22)
Optimization & Theory
(22)
Core AI
(19)
Learning Types Β· Machine Learning
(16)
Models
(13)
Natural Language Processing
(11)
Computer Vision
(10)
Resources & Methods
(10)
Application Areas
(9)
Analysis
(8)
Learning Types Β· Deep Learning
(8)
Reinforcement Learning
(6)
Architectures
(5)
Keywords
diffusion model
(7)
large language model
(7)
catastrophic forgetting
(5)
adversarial robustness
(4)
continual learning
(3)
adversarial training
(3)
automatic differentiation
(3)
scaling law
(3)
pipeline parallelism
(3)
language model
(3)
distributed training
(3)
machine unlearning
(2)
3d vision
(2)
language model alignment
(2)
reinforcement learning
(2)
text generation
(2)
point cloud
(2)
robust optimization
(2)
model compression
(2)
motion estimation
(2)
Papers
PromptStereo: Zero-Shot Stereo Matching via Structure and Motion Prompts
CVPR 2026
STDE++: Polynomial-Time Amortization for Linear Differential Operators
JMLR 2026
A0: An Affordance-Aware Hierarchical Model for General Robotic Manipulation
ICCV 2025
A Closer Look at Machine Unlearning for Large Language Models
ICLR 2025
Bootstrapping Language Models with DPO Implicit Rewards
ICLR 2025
Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates
ICLR 2025
Continual Reinforcement Learning by Planning with Online World Models
ICML 2025
FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation
AAAI 2025
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
ICLR 2025
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
ICML 2025
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
ICCV 2025
PipeOffload: Improving Scalability of Pipeline Parallelism with Memory Optimization
ICML 2025
RegMix: Data Mixture as Regression for Language Model Pre-training
ICLR 2025
Scaling up Masked Diffusion Models on Text
ICLR 2025
Structured Preference Optimization for Vision-Language Long-Horizon Task Planning
EMNLP 2025
When Attention Sink Emerges in Language Models: An Empirical View
ICLR 2025
ZeroStereo: Zero-shot Stereo Matching from Single Images
ICCV 2025
Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
ICML 2024
Amortized Eigendecomposition for Neural Networks
NeurIPS 2024
Automatic Functional Differentiation in JAX
ICLR 2024
BAFFLE: A Baseline of Backpropagation-Free Federated Learning
ECCV 2024
Beyond Memorization: The Challenge of Random Memory Access in Language Models
ACL 2024
Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
NeurIPS 2024
Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform
ICLR 2024
Finetuning Text-to-Image Diffusion Models for Fairness
ICLR 2024
Graph Diffusion Policy Optimization
NeurIPS 2024
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses
NeurIPS 2024
Intriguing Properties of Data Attribution on Diffusion Models
ICLR 2024
Locality Sensitive Sparse Encoding for Learning World Models Online
ICLR 2024
Pipeline Parallelism with Controllable Memory
NeurIPS 2024
Sailor: Open Language Models for South-East Asia
EMNLP 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NeurIPS 2024
Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators
NeurIPS 2024
Zero Bubble (Almost) Pipeline Parallelism
ICLR 2024
Bag of Tricks for Training Data Extraction from Language Models
ICML 2023
Better Diffusion Models Further Improve Adversarial Training
ICML 2023
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
ICLR 2023
Exploring Incompatible Knowledge Transfer in Few-Shot Image Generation
CVPR 2023
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation
ICCV 2023
Mutual Information Regularized Offline Reinforcement Learning
NeurIPS 2023
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows
ICML 2023
NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
NeurIPS 2023
On Calibrating Diffusion Probabilistic Models
NeurIPS 2023
On Evaluating Adversarial Robustness of Large Vision-Language Models
NeurIPS 2023
CINO: A Chinese Minority Pre-trained Language Model
COLING 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
NeurIPS 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition
ICML 2022
How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
NeurIPS 2021
Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
NeurIPS 2020
Gradient based sample selection for online continual learning
NeurIPS 2019
Online Continual Learning with Maximal Interfered Retrieval
NeurIPS 2019
On the Spectral Bias of Neural Networks
ICML 2019
Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions
IJCAI 2017
Correntropy Induced L2 Graph for Robust Subspace Clustering
ICCV 2013