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
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
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
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
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
CoRR, 2023
Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment.
CoRR, 2023
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
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
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
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
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
CoRR, 2022
Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion.
CoRR, 2022
CoRR, 2022
CoRR, 2022
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
Briefings Bioinform., 2020
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
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
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
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015
2014
Proceedings of the Advances in Image and Graphics Technologies - Chinese Conference, 2014
2012
Proceedings of the Fourth International Conference on Digital Image Processing, 2012
2010
J. Parallel Distributed Comput., 2010
2008
Proceedings of the High Performance Computing, 2008
2007
Proceedings of the 13th IEEE Real-Time and Embedded Technology and Applications Symposium, 2007
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