Xuan Lin

Orcid: 0000-0001-7216-1821

According to our database1, Xuan Lin authored at least 65 papers between 2007 and 2024.

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Bibliography

2024
Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction.
IEEE Trans. Knowl. Data Eng., December, 2024

Modeling and signal integrity analysis of silicon interposer channels based on MTL and KBNN.
Microelectron. J., 2024

CTF-DDI: Constrained tensor factorization for drug-drug interactions prediction.
Future Gener. Comput. Syst., 2024

DualSyn: A dual-level feature interaction method to predict synergistic drug combinations.
Expert Syst. Appl., 2024

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development.
CoRR, 2024

Optimization-based Task and Motion Planning under Signal Temporal Logic Specifications using Logic Network Flow.
CoRR, 2024

Accelerate Hybrid Model Predictive Control using Generalized Benders Decomposition.
CoRR, 2024

Fast and Continual Learning for Hybrid Control Policies using Generalized Benders Decomposition.
CoRR, 2024

Evaluating Data-Driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning.
Proceedings of the 21st International Conference on Ubiquitous Robots, 2024

Georeferenced Spectrum Occupancy Analysis Using Spatially Very Sparse Monitoring Data.
Proceedings of the IEEE International Conference on Communications Workshops, 2024

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning.
Briefings Bioinform., September, 2023

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction.
IEEE Trans. Knowl. Data Eng., July, 2023

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction.
Briefings Bioinform., July, 2023

Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph.
CoRR, 2023

SCALER: Versatile Multi-Limbed Robot for Free-Climbing in Extreme Terrains.
CoRR, 2023

Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment.
CoRR, 2023

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AntContentTech at SemEval-2023 Task 6: Domain-adaptive Pretraining and Auxiliary-task Learning for Understanding Indian Legal Texts.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Passivity-Based Control of Nuclear Reactors Considering Cold Side Temperature.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Data Transaction Mode and Its Legal Regulation in the Context of Market-Oriented Allocation of Data Elements.
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023

Label-Guided Graphormer for Hierarchy Text Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Adaptive Force Controller for Contact-Rich Robotic Systems using an Unscented Kalman Filter.
Proceedings of the 22nd IEEE-RAS International Conference on Humanoid Robots, 2023

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Interpretable multi-view attention network for drug-drug interaction prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Navel Gazing or the Long View?: The Influence of Firm Positioning with Respect to OSS Communities on a Developer's Firm Embeddedness.
Proceedings of the 29th Americas Conference on Information Systems, 2023

2022
Developing Combinatorial Optimization and Data-driven Methods for Multi-modal Motion Planning
PhD thesis, 2022

Benchmark Results for Bookshelf Organization Problem as Mixed Integer Nonlinear Program with Mode Switch and Collision Avoidance.
CoRR, 2022

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments.
CoRR, 2022

Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion.
CoRR, 2022

Auto-Calibrating Admittance Controller for Robust Motion of Robotic Systems.
CoRR, 2022

AntPivot: Livestream Highlight Detection via Hierarchical Attention Mechanism.
CoRR, 2022

Deep learning for drug repurposing: methods, databases, and applications.
CoRR, 2022

SCALER: A Tough Versatile Quadruped Free-Climber Robot.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multi-Modal Multi-Agent Optimization for LIMMS, A Modular Robotics Approach to Delivery Automation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

ReDUCE: Reformulation of Mixed Integer Programs Using Data from Unsupervised Clusters for Learning Efficient Strategies.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
On anisotropic non-Lipschitz restoration model: lower bound theory and convergent algorithm.
CoRR, 2021

An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Transition Motion Planning for Multi-Limbed Vertical Climbing Robots Using Complementarity Constraints.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
Risk-Aware Motion Planning for a Limbed Robot with Stochastic Gripping Forces Using Nonlinear Programming.
IEEE Robotics Autom. Lett., 2020

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.
CoRR, 2020

A novel molecular representation with BiGRU neural networks for learning atom.
Briefings Bioinform., 2020

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A Novel Model for Imbalanced Data Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Optimization Based Motion Planning for Multi-Limbed Vertical Climbing Robots.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Multi-Limbed Robot Vertical Two Wall Climbing Based on Static Indeterminacy Modeling and Feasibility Region Analysis.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2016
Formulation of posture optimization for multi-legged robot via eigen decomposition of stiffness matrix.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

Convexity of stiffness matrix eigenvalues for a position controlled limb of mobile climbing robots.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Hierarchical Multi-mode High-Speed Train Speed Controller Based on H-infinity.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014
Defect Detection in Fabrics Using Local Binary Patterns.
Proceedings of the Advances in Image and Graphics Technologies - Chinese Conference, 2014

2012
An improved algorithm for discovering the models with short loops constructs.
Proceedings of the Fourth International Conference on Digital Image Processing, 2012

2010
Real-time scheduling of divisible loads in cluster computing environments.
J. Parallel Distributed Comput., 2010

2008
Multi-round Real-Time Divisible Load Scheduling for Clusters.
Proceedings of the High Performance Computing, 2008

2007
Real-Time Divisible Load Scheduling for Cluster Computing.
Proceedings of the 13th IEEE Real-Time and Embedded Technology and Applications Symposium, 2007

Real-Time Divisible Load Scheduling with Different Processor Available Times.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007

Enhanced Real-Time Divisible Load Scheduling with Different Processor Available Times.
Proceedings of the High Performance Computing, 2007


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