Min Lin

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Instant3D: Instant Text-to-3D Generation.
Int. J. Comput. Vis., October, 2024

Reinforcement Learning-Based Model Predictive Control for Discrete-Time Systems.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

Text-to-Image Person Re-Identification Based on Multimodal Graph Convolutional Network.
IEEE Trans. Multim., 2024

Safety enhancement for nonlinear systems via learning-based model predictive control with Gaussian process regression.
Neurocomputing, 2024

Proximal Policy Optimization for Efficient D2D-Assisted Computation Offloading and Resource Allocation in Multi-Access Edge Computing.
Future Internet, 2024

A Closer Look at Machine Unlearning for Large Language Models.
CoRR, 2024

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates.
CoRR, 2024

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.
CoRR, 2024

RegMix: Data Mixture as Regression for Language Model Pre-training.
CoRR, 2024

Bootstrapping Language Models with DPO Implicit Rewards.
CoRR, 2024

Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
CoRR, 2024

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses.
CoRR, 2024

Improved Techniques for Optimization-Based Jailbreaking on Large Language Models.
CoRR, 2024

Pipeline Parallelism with Controllable Memory.
CoRR, 2024

Sailor: Open Language Models for South-East Asia.
CoRR, 2024

Graph Diffusion Policy Optimization.
CoRR, 2024

Purifying Large Language Models by Ensembling a Small Language Model.
CoRR, 2024

Test-Time Backdoor Attacks on Multimodal Large Language Models.
CoRR, 2024

Benchmarking Large Multimodal Models against Common Corruptions.
CoRR, 2024

Zero Bubble Pipeline Parallelism.
CoRR, 2024

AI Driven Online Advertising: Market Design, Generative AI, and Ethics.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LeGalFormer: A Graph Representation Learning and Transformer-based Approach for Legal Similar Case Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Intriguing Properties of Data Attribution on Diffusion Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Finetuning Text-to-Image Diffusion Models for Fairness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Zero Bubble (Almost) Pipeline Parallelism.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Locality Sensitive Sparse Encoding for Learning World Models Online.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automatic Functional Differentiation in JAX.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

BAFFLE: A Baseline of Backpropagation-Free Federated Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Beyond Memorization: The Challenge of Random Memory Access in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Health insurance fraud detection by using an attributed heterogeneous information network with a hierarchical attention mechanism.
BMC Medical Informatics Decis. Mak., December, 2023

Multi-Robot Systems and Cooperative Object Transport: Communications, Platforms, and Challenges.
IEEE Open J. Comput. Soc., 2023

A lattice-transformer-graph deep learning model for Chinese named entity recognition.
J. Intell. Syst., 2023

On Memorization in Diffusion Models.
CoRR, 2023

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.
CoRR, 2023

From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning.
CoRR, 2023

A Recipe for Watermarking Diffusion Models.
CoRR, 2023

Does Federated Learning Really Need Backpropagation?
CoRR, 2023

On Evaluating Adversarial Robustness of Large Vision-Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On Calibrating Diffusion Probabilistic Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mutual Information Regularized Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Double DQN Reinforcement Learning-Based Computational Offloading and Resource Allocation for MEC.
Proceedings of the Mobile Networks and Management - 13th EAI International Conference, 2023

Client Selection Method for Federated Learning in Multi-robot Collaborative Systems.
Proceedings of the Mobile Networks and Management - 13th EAI International Conference, 2023

Bag of Tricks for Training Data Extraction from Language Models.
Proceedings of the International Conference on Machine Learning, 2023

Better Diffusion Models Further Improve Adversarial Training.
Proceedings of the International Conference on Machine Learning, 2023

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows.
Proceedings of the International Conference on Machine Learning, 2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Match and Retrieval: Legal Similar Case Retrieval via Graph Matching Network.
Proceedings of the IEEE International Conference on Data Mining, 2023

IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

No Driver Is Alone: A Multicentered Human-Machine System Framework for Multitasking While Driving.
Proceedings of the Design Studies and Intelligence Engineering, 2023

Exploring Incompatible Knowledge Transfer in Few-shot Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Trajectory Tracking Control for Under-Actuated Hovercraft Using Differential Flatness and Reinforcement Learning-Based Active Disturbance Rejection Control.
J. Syst. Sci. Complex., 2022

A Comprehensive Review on Automatic Mobile Robots: Applications, Perception, Communication and Control.
J. Circuits Syst. Comput., 2022

Demographics as Determinants of Building Occupants' Indoor Environmental Perceptions: Insights from a Machine Learning Incremental Modeling and Analysis Approach.
J. Comput. Civ. Eng., 2022

Optical Neural Ordinary Differential Equations.
CoRR, 2022

O(N<sup>2</sup>) Universal Antisymmetry in Fermionic Neural Networks.
CoRR, 2022

Uncertainty-Aware Energy Management Strategy for Hybrid Electric Vehicle Using Hybrid Deep Learning Method.
IEEE Access, 2022

10 kV SiC MOSFET Based Medium Voltage Power Conditioning System for Asynchronous Microgrids.
IEEE Access, 2022

Causal Representation Learning for Out-of-Distribution Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causal Attention for Interpretable and Generalizable Graph Classification.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Robustness and Accuracy Could Be Reconcilable by (Proper) Definition.
Proceedings of the International Conference on Machine Learning, 2022

Prediction of the Impact of Mobile Payments on the Consumption of Individual Nodes on Communication Networks.
Proceedings of the 9th IEEE International Conference on Cyber Security and Cloud Computing, 2022

CINO: A Chinese Minority Pre-trained Language Model.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Research on Precise Ideological and Political Education in Colleges and Universities Based on the Analysis of Student Group Portraits.
Proceedings of the 6GN for Future Wireless Networks, 2022

2021
Machine Learning Based Health Learning Data Collection with Wearable Devices.
J. Medical Imaging Health Informatics, 2021

LSTM-RPA: A Simple but Effective Long Sequence Prediction Algorithm for Music Popularity Prediction.
CoRR, 2021

Financial Risk Information Spreading on Metapopulation Networks.
Complex., 2021

Estimation and Spatial Analysis of Heavy Metals in Metal Tailing Pond Based on Improved PLS With Multiple Factors.
IEEE Access, 2021

How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Subspace Classification of Attention Deficit Hyperactivity Disorder with Laplacian Regularization.
Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

Community Detection of Mobile Internet Delivery Users.
Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Study on Benchmarking System of Vocational Education Under Future Information Technology.
Proceedings of the 6GN for Future Wireless Networks - 4th EAI International Conference, 2021

Research on Intelligent Management of Engineering Construction Safety Oriented to Internet of Things + BIM.
Proceedings of the 6GN for Future Wireless Networks - 4th EAI International Conference, 2021

Safety Helmet Wearing Behavior Detection Under Low Visibility Based on Deep Learning.
Proceedings of the 6GN for Future Wireless Networks - 4th EAI International Conference, 2021

2020
Dynamic Pricing-Based Resilient Strategy Design for Cloud Control System Under Jamming Attack.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Model and Hybrid Algorithm of Collaborative Distribution System with Multiple Drones and a Truck.
Sci. Program., 2020

Continual Learning from the Perspective of Compression.
CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.
CoRR, 2020

Optimal design and operation of refinery hydrogen systems under multi-scale uncertainties.
Comput. Chem. Eng., 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A large-scale empirical study on vulnerability distribution within projects and the lessons learned.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Online Continual Learning with Maximally Interfered Retrieval.
CoRR, 2019

Conditional Computation for Continual Learning.
CoRR, 2019

Online continual learning with no task boundaries.
CoRR, 2019

Subordinate Relationship Discovery Method Based on Directed Link Prediction.
Proceedings of the Smart Computing and Communication - 4th International Conference, 2019

Do Top Social Apps Effect Voice Call? Evidence from Propensity Score Matching Methods.
Proceedings of the Smart Computing and Communication - 4th International Conference, 2019

Gradient based sample selection for online continual learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Online Continual Learning with Maximal Interfered Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

On the Spectral Bias of Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Implicit Negative Sub-Categorization and Sink Diversion for Object Detection.
IEEE Trans. Image Process., 2018

Decay of correlation implies strongly mixing property.
Int. J. Gen. Syst., 2018

Energy-efficient power allocation scheme for distributed antenna system over spatially correlated Rayleigh channels.
IET Commun., 2018

Power Allocation for Energy Efficiency Maximization in DAS with Imperfect CSI and Multiple Receive Antennas.
IEICE Trans. Commun., 2018

On the Spectral Bias of Deep Neural Networks.
CoRR, 2018

Integration of biocompatible organic resistive memory and photoresistor for wearable image sensing application.
Sci. China Inf. Sci., 2018

Kernel-based Nonlinear Observation Method For Sparse Coding.
Proceedings of the IEEE International Conference on Information and Automation, 2018

Learning and Thinking Strategy for Training Sequence Generation Models.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Distributed space-time coding scheme with differential detection and power allocation for cooperative relay network.
Telecommun. Syst., 2017

Downlink Capacity Analysis of Distributed Antenna Systems with Imperfect Channel State Information.
KSII Trans. Internet Inf. Syst., 2017

Softmax GAN.
CoRR, 2017

Global-residual and Local-boundary Refinement Networks for Rectifying Scene Parsing Predictions.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
HCP: A Flexible CNN Framework for Multi-Label Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

NUS-PRO: A New Visual Tracking Challenge.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Kinematics and Dynamics of a Tensegrity-Based Water Wave Energy Harvester.
J. Robotics, 2016

2015
Purine: A bi-graph based deep learning framework.
Proceedings of the 3rd International Conference on Learning Representations, 2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.
CoRR, 2015

A discrete particle swarm optimization box-covering algorithm for fractal dimension on complex networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Kinematics, Singularity, and Workspaces of a Planar 4-Bar Tensegrity Mechanism.
J. Robotics, 2014

Identification of Eye Movements from Non-frontal Face Images for Eye-controlled Systems.
Int. J. Autom. Comput., 2014

Network In Network.
Proceedings of the 2nd International Conference on Learning Representations, 2014

2013
eHeritage of shadow puppetry: creation and manipulation.
Proceedings of the ACM Multimedia Conference, 2013

Correntropy Induced L2 Graph for Robust Subspace Clustering.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
On the role of <i>a priori</i> knowledge in the optimization of quantum information processing.
Quantum Inf. Process., 2012

Fabrication and Performance of a Photonic-Microfluidic Integrated Device.
Micromachines, 2012

2011
Rich Communication Suite: The challenge and opportunity for MNOs.
Proceedings of the 15th International Conference on Intelligence in Next Generation Networks, 2011

SER analysis of amplify-and-forward relay systems with beamforming.
Proceedings of the 6th International ICST Conference on Communications and Networking in China, 2011

Eye gestures recognition technology in Human-computer Interaction.
Proceedings of the 4th International Conference on Biomedical Engineering and Informatics, 2011

2010
Evaluation of Floor-grooved Micromixers using Concentration-channel Length Profiles.
Micromachines, 2010

Modeling skin thermal pain sensation: Role of non-Fourier thermal behavior in transduction process of nociceptor.
Comput. Biol. Medicine, 2010

Bayesian model selection for characterizing genomic imprinting effects and patterns.
Bioinform., 2010

Learning Automaton Based On-Line Discovery and Tracking of Spatio-temporal Event Patterns.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

A CMOS programmable gain amplifier with a novel DC-offset cancellation technique.
Proceedings of the IEEE Custom Integrated Circuits Conference, 2010

2009
Channel modelling for wireless sensor networks.
PhD thesis, 2009

Identification of Listeria Species Using a Low-Cost Surface-Enhanced Raman Scattering System With Wavelet-Based Signal Processing.
IEEE Trans. Instrum. Meas., 2009

Modified 2D Finite-Difference Time-Domain Based Tunnel Path Loss Prediction for Wireless Sensor Network Applications.
J. Commun., 2009

Nomadic Speech-Based Text Entry: A Decision Model Strategy for Improved Speech to Text Processing.
Int. J. Hum. Comput. Interact., 2009

Experimental design and identifiability of model parameters for quantum systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Detection of six kinds of acid in red wine with infrared spectroscopy based on FastICA and neural network.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Independent Component Analysis Combined with Neural Networks and Its Application to Raman Spectroscopy.
Proceedings of the Fourth International Conference on Natural Computation, 2008

A Research on the Stroke-Segment-Mesh (SSM) Glyph Depiction Method of Chinese Character.
Proceedings of the ALPIT 2008, 2008

2007
How do people tap when walking? An empirical investigation of nomadic data entry.
Int. J. Hum. Comput. Stud., 2007

Modeling sequence-sequence interactions for drug response.
Bioinform., 2007

Constructing Chinese characters: keypad design for mobile phones.
Behav. Inf. Technol., 2007

Evaluation Framework of Location Privacy of Wireless Mobile Systems with Arbitrary Beam Pattern.
Proceedings of the Fifth Annual Conference on Communication Networks and Services Research (CNSR 2007), 2007

2006
Motion does matter: an examination of speech-based text entry on the move.
Univers. Access Inf. Soc., 2006

A joint model for nonparametric functional mapping of longitudinal trajectory and time-to-event.
BMC Bioinform., 2006

Impact of Channel Sounder Frequency Offsets on the Estimation of Channel Parameters.
Proceedings of the 64th IEEE Vehicular Technology Conference, 2006

A Bivariate Functional Mapping Model for Identifying Haplotypes that Control Drug Response for Systolic and Diastolic Blood Pressures.
Proceedings of the Biocomputing 2006, 2006

2005
Chinese character entry for mobile phones: a longitudinal investigation.
Interact. Comput., 2005

Graphics matter: a case study of mobile phone keypad design for chinese input.
Proceedings of the Extended Abstracts Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

A monolithic CMOS L band DAB receiver.
Proceedings of the 2005 Conference on Asia South Pacific Design Automation, 2005

2004
Data Entry on the Move: An Examination of Nomadic Speech-Based Text Entry.
Proceedings of the User-Centered Interaction Paradigms for Universal Access in the Information Society, 2004

Understanding the micronote lifecycle: improving mobile support for informal note taking.
Proceedings of the 2004 Conference on Human Factors in Computing Systems, 2004

2002
Speech-based cursor control: understanding the effects of target size, cursor speed, and command selection.
Univers. Access Inf. Soc., 2002


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