Enhanced Real-Time Divisible Load Scheduling with Different Processor Available Times. - Xuan Lin; Ying Lu 002; Jitender S. Deogun; Steve Goddard (HiPC, 2007)

Real-Time Divisible Load Scheduling with Different Processor Available Times. - Xuan Lin; Ying Lu 002; Jitender S. Deogun; Steve Goddard (ICPP, 2007)

Real-Time Divisible Load Scheduling for Cluster Computing. - Xuan Lin; Ying Lu 002; Jitender S. Deogun; Steve Goddard (IEEE Real-Time and Embedded Technology and Applications Symposium, 2007)

Multi-round Real-Time Divisible Load Scheduling for Clusters. - Xuan Lin; Jitender S. Deogun; Ying Lu 002; Steve Goddard (HiPC, 2008)

Real-time scheduling of divisible loads in cluster computing environments. - Xuan Lin; Anwar Mamat; Ying Lu 002; Jitender S. Deogun; Steve Goddard (J. Parallel Distributed Comput., 2010)

An improved algorithm for discovering the models with short loops constructs. - Jianwen Feng; Huiyou Chang; Xuan Lin (ICDIP, 2012)

Defect Detection in Fabrics Using Local Binary Patterns. - Pengfei Li; Xuan Lin; Junfeng Jing; Lei Zhang (IGTA, 2014)

Hierarchical Multi-mode High-Speed Train Speed Controller Based on H-infinity. - Huiyue Tang; Xuan Lin; Xuechao Ge; Qingyuan Wang 001 (ITSC, 2015)

Convexity of stiffness matrix eigenvalues for a position controlled limb of mobile climbing robots. - Xuan Lin; Dennis W. Hong (Humanoids, 2016)

Formulation of posture optimization for multi-legged robot via eigen decomposition of stiffness matrix. - Xuan Lin; Dennis W. Hong (URAI, 2016)

A System for Learning Atoms Based on Long Short-Term Memory Recurrent Neural Networks. - Zhe Quan; Xuan Lin; Zhi-Jie Wang 009; Yan Liu 032; Fan Wang; Kenli Li 001 (BIBM, 2018)

Multi-Limbed Robot Vertical Two Wall Climbing Based on Static Indeterminacy Modeling and Feasibility Region Analysis. - Xuan Lin; Hari Krishnan; Yao Su 001; Dennis W. Hong (IROS, 2018)

GraphCPI: Graph Neural Representation Learning for Compound-Protein Interaction. - Zhe Quan; Yan Guo; Xuan Lin; Zhi-Jie Wang 009; Xiangxiang Zeng (BIBM, 2019)

Optimization Based Motion Planning for Multi-Limbed Vertical Climbing Robots. - Xuan Lin; Jingwen Zhang; Junjie Shen 002; Gabriel I. Fernandez; Dennis W. Hong (IROS, 2019)

A Novel Model for Imbalanced Data Classification. - Jian Yin 001; Chunjing Gan; Kaiqi Zhao 001; Xuan Lin; Zhe Quan; Zhi-Jie Wang 009 (AAAI, 2020)

DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction. - Xuan Lin; Kaiqi Zhao 001; Tong Xiao 001; Zhe Quan; Zhi-Jie Wang 009; Philip S. Yu (ECAI, 2020)

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction. - Xuan Lin; Zhe Quan; Zhi-Jie Wang 009; Tengfei Ma 002; Xiangxiang Zeng (IJCAI, 2020)

A novel molecular representation with BiGRU neural networks for learning atom. - Xuan Lin; Zhe Quan; Zhi-Jie Wang 009; Huang Huang; Xiangxiang Zeng (Briefings Bioinform., 2020)

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

Risk-Aware Motion Planning for a Limbed Robot with Stochastic Gripping Forces Using Nonlinear Programming. - Yuki Shirai; Xuan Lin; Yusuke Tanaka; Ankur Mehta; Dennis W. Hong (IEEE Robotics Autom. Lett., 2020)

Designing Multi-Stage Coupled Convex Programming with Data-Driven McCormick Envelope Relaxations for Motion Planning. - Xuan Lin; Min Sung Ahn; Dennis W. Hong (ICRA, 2021)

LTO: Lazy Trajectory Optimization with Graph-Search Planning for High DOF Robots in Cluttered Environments. - Yuki Shirai; Xuan Lin; Ankur Mehta; Dennis W. Hong (ICRA, 2021)

Transition Motion Planning for Multi-Limbed Vertical Climbing Robots Using Complementarity Constraints. - Jingwen Zhang; Xuan Lin; Dennis W. Hong (ICRA, 2021)

An Under-Actuated Whippletree Mechanism Gripper based on Multi-Objective Design Optimization with Auto-Tuned Weights. - Yusuke Tanaka; Yuki Shirai; Zachary Lacey; Xuan Lin; Jane Liu; Dennis W. Hong (IROS, 2021)

On anisotropic non-Lipschitz restoration model: lower bound theory and convergent algorithm. - Chunlin Wu; Xuan Lin; Yufei Zhao (CoRR, 2021)

ReDUCE: Reformulation of Mixed Integer Programs Using Data from Unsupervised Clusters for Learning Efficient Strategies. - Xuan Lin; Gabriel I. Fernandez; Dennis W. Hong (ICRA, 2022)

Multi-Modal Multi-Agent Optimization for LIMMS, A Modular Robotics Approach to Delivery Automation. - Xuan Lin; Gabriel I. Fernandez; Yeting Liu; Taoyuanmin Zhu; Yuki Shirai; Dennis W. Hong (IROS, 2022)

Simultaneous Contact-Rich Grasping and Locomotion via Distributed Optimization Enabling Free-Climbing for Multi-Limbed Robots. - Yuki Shirai; Xuan Lin; Alexander Schperberg; Yusuke Tanaka; Hayato Kato; Varit Vichathorn; Dennis W. Hong (IROS, 2022)

SCALER: A Tough Versatile Quadruped Free-Climber Robot. - Yusuke Tanaka; Yuki Shirai; Xuan Lin; Alexander Schperberg; Hayato Kato; Alexander Swerdlow; Naoya Kumagai; Dennis W. Hong (IROS, 2022)

Deep learning for drug repurposing: methods, databases, and applications. - Xiaoqin Pan; Xuan Lin; Dongsheng Cao 001; Xiangxiang Zeng; Philip S. Yu; Lifang He 001; Ruth Nussinov; Feixiong Cheng (CoRR, 2022)

AntPivot: Livestream Highlight Detection via Hierarchical Attention Mechanism. - Yang Zhao 022; Xuan Lin; Wenqiang Xu; Maozong Zheng; Zhengyong Liu; Zhou Zhao 001 (CoRR, 2022)

Auto-Calibrating Admittance Controller for Robust Motion of Robotic Systems. - Alexander Schperberg; Yuki Shirai; Xuan Lin; Yusuke Tanaka; Dennis W. Hong (CoRR, 2022)

Learning Near-global-optimal Strategies for Hybrid Non-convex Model Predictive Control of Single Rigid Body Locomotion. - Xuan Lin; Feng Xu; Alexander Schperberg; Dennis W. Hong (CoRR, 2022)

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments. - Yang Zhao 022; Wenqiang Xu; Xuan Lin; Jingjing Huo; Hong Chen 002; Zhou Zhao 001 (CoRR, 2022)

Benchmark Results for Bookshelf Organization Problem as Mixed Integer Nonlinear Program with Mode Switch and Collision Avoidance. - Xuan Lin; Gabriel I. Fernandez; Dennis W. Hong (CoRR, 2022)

Developing Combinatorial Optimization and Data-driven Methods for Multi-modal Motion Planning - Xuan Lin (2022)

Navel Gazing or the Long View?: The Influence of Firm Positioning with Respect to OSS Communities on a Developer's Firm Embeddedness. - Xuan Lin; Sherae Daniel; Liwei Chen (AMCIS, 2023)

Interpretable multi-view attention network for drug-drug interaction prediction. - Xuan Lin; Qi Wen 002; Sijie Yang; Zu-Guo Yu; Yahui Long; Xiangxiang Zeng (BIBM, 2023)

ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer. - Huadai Liu; Rongjie Huang 001; Xuan Lin; Wenqiang Xu; Maozong Zheng; Hong Chen 002; Jinzheng He; Zhou Zhao 001 (EMNLP, 2023)

Adaptive Force Controller for Contact-Rich Robotic Systems using an Unscented Kalman Filter. - Alexander Schperberg; Yuki Shirai; Xuan Lin; Yusuke Tanaka; Dennis W. Hong (Humanoids, 2023)

Label-Guided Graphormer for Hierarchy Text Classification. - Song Li; Jingjing Huo; Wenqiang Xu; Maozong Zheng; Kezun Zhang; Hong Chen; Xuan Lin (ICANN (5), 2023)

Data Transaction Mode and Its Legal Regulation in the Context of Market-Oriented Allocation of Data Elements. - Wei Liu; Xuan Lin (ICCSE (1), 2023)

Passivity-Based Control of Nuclear Reactors Considering Cold Side Temperature. - Zhe Dong; Zhonghua Cheng; Xuan Lin; Yunlong Zhu; Fan Chen; Xiaojin Huang (IECON, 2023)

AntContentTech at SemEval-2023 Task 6: Domain-adaptive Pretraining and Auxiliary-task Learning for Understanding Indian Legal Texts. - Jingjing Huo; Kezun Zhang; Zhengyong Liu; Xuan Lin; Wenqiang Xu; Maozong Zheng; Zhaoguo Wang; Song Li (SemEval@ACL, 2023)

TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. - Jingyuan Li; Yue Zhang; Xuan Lin; Xinxing Yang; Ge Zhou; Longfei Li; Hong Chen; Jun Zhou 011 (SIGIR, 2023)

Generalized Benders Decomposition with Continual Learning for Hybrid Model Predictive Control in Dynamic Environment. - Xuan Lin (CoRR, 2023)

SCALER: Versatile Multi-Limbed Robot for Free-Climbing in Extreme Terrains. - Yusuke Tanaka; Yuki Shirai; Alexander Schperberg; Xuan Lin; Dennis W. Hong (CoRR, 2023)

Learning to Denoise Unreliable Interactions for Link Prediction on Biomedical Knowledge Graph. - Tengfei Ma 002; Yujie Chen; Wen Tao; Dashun Zheng; Xuan Lin; Patrick Cheong-lao Pang; Yiping Liu; Yijun Wang 002; Bosheng Song; Xiangxiang Zeng (CoRR, 2023)

Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation. - Xuan Lin; Zhe Quan; Zhi-Jie Wang 009; Yan Guo; Xiangxiang Zeng; Philip S. Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction. - Xuan Lin; Lichang Dai; Yafang Zhou; Zu-Guo Yu; Wen Zhang; Jian-Yu Shi; Dong-Sheng Cao 001; Li Zeng; Haowen Chen; Bosheng Song; Philip S. Yu; Xiangxiang Zeng (Briefings Bioinform., 2023)

KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction. - Tengfei Ma 002; Xuan Lin; Bosheng Song; Philip S. Yu; Xiangxiang Zeng (IEEE Trans. Knowl. Data Eng., 2023)

Prediction of multi-relational drug-gene interaction via Dynamic hyperGraph Contrastive Learning. - Wen Tao; Yuansheng Liu; Xuan Lin; Bosheng Song; Xiangxiang Zeng (Briefings Bioinform., 2023)

Are U a Joke Master? Pun Generation via Multi-Stage Curriculum Learning towards a Humor LLM. - Yang Chen; Chong Yang; Tu Hu; Xinhao Chen; Man Lan; Li Cai; Xinlin Zhuang; Xuan Lin; Xin Lu; Aimin Zhou (ACL (Findings), 2024)

Context-Aware Tracking and Dynamic Introduction for Incomplete Utterance Rewriting in Extended Multi-Turn Dialogues. - Xinnan Guo; Qian Zhu; Qiuhui Shi; Xuan Lin; Liubin Wang; DaqianLi DaqianLi; Yongrui Chen 002 (ACL (Findings), 2024)

CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. - Xuan Lin; Xi Zhang 008; Zu-Guo Yu; Yahui Long; Xiangxiang Zeng; Philip S. Yu (BIBM, 2024)

AntCritic: Argument Mining for Free-Form and Visually-Rich Financial Comments. - Huadai Liu; Wenqiang Xu; Xuan Lin; Jingjing Huo; Hong Chen; Zhou Zhao (LREC/COLING, 2024)

Georeferenced Spectrum Occupancy Analysis Using Spatially Very Sparse Monitoring Data. - Serhat Tadik; Neal Patwari; Kirk Webb; Xuan Lin; Gregory D. Durgin (ICC Workshops, 2024)

Evaluating Data-Driven Performances of Mixed Integer Bilinear Formulations for Book Placement Planning. - Xuan Lin; Gabriel I. Fernandez; Dennis W. Hong (UR, 2024)

Fast and Continual Learning for Hybrid Control Policies using Generalized Benders Decomposition. - Xuan Lin (CoRR, 2024)

Accelerate Hybrid Model Predictive Control using Generalized Benders Decomposition. - Xuan Lin (CoRR, 2024)

Optimization-based Task and Motion Planning under Signal Temporal Logic Specifications using Logic Network Flow. - Xuan Lin; Jiming Ren; Samuel Coogan 001; Ye Zhao 002 (CoRR, 2024)

Y-Mol: A Multiscale Biomedical Knowledge-Guided Large Language Model for Drug Development. - Tengfei Ma 002; Xuan Lin; Tianle Li; Chaoyi Li; Long Chen; Peng Zhou 006; Xibao Cai; Xinyu Yang; Daojian Zeng; Dong-Sheng Cao 001; Xiangxiang Zeng (CoRR, 2024)

S2DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion. - Tengfei Ma 002; Yujie Chen; Liang Wang; Xuan Lin; Bosheng Song; Xiangxiang Zeng (CoRR, 2024)

Property Enhanced Instruction Tuning for Multi-task Molecule Generation with Large Language Models. - Xuan Lin; Long Chen; Yile Wang; Xiangxiang Zeng; Philip S. Yu (CoRR, 2024)

DualSyn: A dual-level feature interaction method to predict synergistic drug combinations. - Zehui Chen; Zimeng Li; Xiangzhen Shen; Yuansheng Liu; Xuan Lin; Daojian Zeng; Xiangxiang Zeng (Expert Syst. Appl., 2024)

CTF-DDI: Constrained tensor factorization for drug-drug interactions prediction. - Guosheng Han; Lingzhi Peng; Aocheng Ding; Yan Zhang; Xuan Lin (Future Gener. Comput. Syst., 2024)

Modeling and signal integrity analysis of silicon interposer channels based on MTL and KBNN. - Wen Gao 001; Xuan Lin; Guorong Li; Hong-Shun Yin; Fei-Long Lv; Peng Zhang 024; Da-Wei Wang 003; Wen-Sheng Qian; Hao Zhang; Wen-Sheng Zhao (Microelectron. J., 2024)

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction. - Tengfei Ma 002; Yujie Chen; Wen Tao; Dashun Zheng; Xuan Lin; Patrick Cheong-Iao Pang; Yiping Liu; Yijun Wang 002; Longyue Wang; Bosheng Song; Xiangxiang Zeng; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2024)

S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion. - Tengfei Ma 002; Yujie Chen; Liang Wang; Xuan Lin; Bosheng Song; Xiangxiang Zeng (AAAI, 2025)

Integrating Travel Survey and Amap API Data Into Travel Mode Choice Analysis With Interpretable Machine Learning Models: A Case Study in China. - Li Tang; Xuan Lin; Jingcai Yu; Chuanli Tang (IEEE Access, 2025)

A coupled framework for power load forecasting with Gaussian implicit spatio temporal block and attention mechanisms network. - Dezhi Liu; Xuan Lin; Hanyang Liu; Jiaming Zhu; Huayou Chen (Comput. Electr. Eng., 2025)

Channel-correlation aware photovoltaic power forecasting framework based on multi-perspective modeling. - Dezhi Liu; Jiaming Zhu; Xuan Lin; Lili Niu; Zhifu Tao (Expert Syst. Appl., 2025)

Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning. - Xuan Lin; Qingrui Liu; Hongxin Xiang; Daojian Zeng; Xiangxiang Zeng (CoRR, 2025)

DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation. - Dan Luo; Jinyu Zhou; Le Xu; Sisi Yuan; Xuan Lin (CoRR, 2025)

AttriLens-Mol: Attribute Guided Reinforcement Learning for Molecular Property Prediction with Large Language Models. - Xuan Lin; Long Chen; Yile Wang (CoRR, 2025)

Accelerating Signal-Temporal-Logic-Based Task and Motion Planning of Bipedal Navigation using Benders Decomposition. - Jiming Ren; Xuan Lin; Roman Mineyev; Karen M. Feigh; Samuel Coogan 001; Ye Zhao 002 (CoRR, 2025)