Senthilnath Jayavelu

42 papers A* 3A 4B 4Misc 1Journal 24Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning LLMs with Graph Neural Solvers for Combinatorial Optimization. CoRR Shaodi Feng, Zhuoyi Lin, Yaoxin Wu, Haiyan Yin, Yan Jin, Senthilnath Jayavelu, Xun Xu
2026	A*	`conf`	Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. AAAI Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026	J	`jnl`	DRAGON: LLM-Driven Decomposition and Reconstruction Agents for Large-Scale Combinatorial Optimization. CoRR Shengkai Chen, Zhiguang Cao, Jianan Zhou, Yaoxin Wu, Senthilnath Jayavelu, Zhuoyi Lin, Xiaoli Li, Shili Xiang
2025	J	`jnl`	Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation. CoRR Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2025	A	`conf`	Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models. CIKM Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2025	—	`conf`	Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation. ICPHM Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu
2025	J	`jnl`	Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation. CoRR Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu
2025	A	`conf`	Enhancing Sub-Optimal Trajectory Stitching: Spatial Composition RvS for Offline RL. AAMAS Sheng Zang, Zhiguang Cao, Bo An, Senthilnath Jayavelu, Xiaoli Li
2025	J	`jnl`	Incremental Multistep Forecasting of Battery Degradation Using Pseudo Targets. CoRR Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu
2025	J	`jnl`	Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems. CoRR Shaodi Feng, Zhuoyi Lin, Jianan Zhou, Cong Zhang, Jingwen Li, Kuan-Wen Chen, Senthilnath Jayavelu, Yew-Soon Ong
2025	J	`jnl`	TS-HINT: Enhancing Semiconductor Time Series Regression Using Attention Hints From Large Language Model Reasoning. CoRR Jonathan Adam Rico, Nagarajan Raghavan, Senthilnath Jayavelu
2024	J	`jnl`	Continual learning with task specialist. CoRR Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024	A*	`conf`	Cross-Problem Learning for Solving Vehicle Routing Problems. IJCAI Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	J	`jnl`	Cross-Problem Learning for Solving Vehicle Routing Problems. CoRR Zhuoyi Lin, Yaoxin Wu, Bangjian Zhou, Zhiguang Cao, Wen Song, Yingqian Zhang, Senthilnath Jayavelu
2024	Misc	`conf`	Interpretable Policy Extraction with Neuro-Symbolic Reinforcement Learning. ICASSP Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
2024	J	`jnl`	Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation. IEEE Trans. Intell. Transp. Syst. Haoge Jiang, Niraj Bhujel, Zhuoyi Lin, Kong-Wah Wan, Jun Li, Senthilnath Jayavelu, Xudong Jiang
2024	B	`conf`	Robust Representation Learning With Self-Distillation For Domain Generalization. ICIP Ankur Singh, Senthilnath Jayavelu
2024	J	`jnl`	U-TELL: Unsupervised Task Expert Lifelong Learning. CoRR Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024	B	`conf`	U-Tell: Unsupervised Task Expert Lifelong Learning. ICIP Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu
2024	J	`jnl`	XMOL: Explainable Multi-property Optimization of Molecules. CoRR Aye Phyu Phyu Aung, Jay Chaudhary, Ji Wei Yoon, Senthilnath Jayavelu
2023	J	`jnl`	A decentralized learning strategy to restore connectivity during multi-agent formation control. Neurocomputing Rajdeep Dutta, Harikumar Kandath, Senthilnath Jayavelu, Xiao-Li Li, Suresh Sundaram, Daniel J. Pack
2023	B	`conf`	Data Generation with Structure Enforcing Adversarial Learning. ICIP Indu Solomon, Uttam Kumar, Senthilnath Jayavelu
2023	J	`jnl`	PASE: An autonomous sequential framework for the state estimation of dynamical systems. Expert Syst. Appl. Harikumar Kandath, Md Meftahul Ferdaus, Zhen Wei Ng, Bangjian Zhou, Suresh Sundaram, Xiaoli Li, Senthilnath Jayavelu
2023	J	`jnl`	Robust Representation Learning with Self-Distillation for Domain Generalization. CoRR Ankur Singh, Senthilnath Jayavelu
2023	J	`jnl`	S-REINFORCE: A Neuro-Symbolic Policy Gradient Approach for Interpretable Reinforcement Learning. CoRR Rajdeep Dutta, Qincheng Wang, Ankur Singh, Dhruv Kumarjiguda, Xiaoli Li, Senthilnath Jayavelu
2022	A*	`conf`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2022	A	`conf`	Data Oversampling with Structure Preserving Variational Learning. CIKM Indu Solomon, Senthilnath Jayavelu, Md Meftahul Ferdaus, Uttam Kumar
2022	J	`jnl`	Integrated UAV-Based Multi-Source Data for Predicting Maize Grain Yield Using Machine Learning Approaches. Remote. Sens. Yahui Guo, Xuan Zhang, Shouzhi Chen, Hanxi Wang, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
2022	B	`conf`	Latent Preserving Generative Adversarial Network for Imbalance Classification. ICIP Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
2022	J	`jnl`	Latent Preserving Generative Adversarial Network for Imbalance classification. CoRR Tanmoy Dam, Md Meftahul Ferdaus, Mahardhika Pratama, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
2022	J	`jnl`	Machine Learning-Based Approaches for Predicting SPAD Values of Maize Using Multi-Spectral Images. Remote. Sens. Yahui Guo, Shouzhi Chen, Xinxi Li, Mario Cunha, Senthilnath Jayavelu, Davide Cammarano, Yongshuo Fu
2022	J	`jnl`	Planning sequential interventions to tackle depression in large uncertain social networks using deep reinforcement learning. Neurocomputing Aye Phyu Phyu Aung, Senthilnath Jayavelu, Xiaoli Li, Bo An
2021	J	`jnl`	DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li
2021	A	`conf`	Does Adversarial Oversampling Help us? CIKM Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
2021	J	`jnl`	Does Adversarial Oversampling Help us? CoRR Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Senthilnath Jayavelu, Hussein A. Abbass
2020	J	`jnl`	Inverse design of crystals using generalized invertible crystallographic representation. CoRR Zekun Ren, Juhwan Noh, Siyu I. P. Tian, Felipe Oviedo, Guangzong Xing, Qiaohao Liang, Armin Aberle, Yi Liu, Qianxiao Li, Senthilnath Jayavelu, Kedar Hippalgaonkar, Yousung Jung, Tonio Buonassisi
2019	J	`jnl`	Multi-UAV Oxyrrhis Marina-Inspired Search and Dynamic Formation Control for Forest Firefighting. IEEE Trans Autom. Sci. Eng. K. Harikumar, Senthilnath Jayavelu, Suresh Sundaram
2018	—	`conf`	Classification of Multi-Spectral Satellite Image Using Hierarchical Clustering Algorithms. SSCI Sushant Kulkarni, Senthilnath Jayavelu, Jón Atli Benediktsson
2018	—	`conf`	DeepExt: A Convolution Neural Network for Road Extraction using RGB images captured by UAV. SSCI Neelanshi Varia, Akanksha Dokania, Senthilnath Jayavelu
2018	—	`conf`	Dynamic Area Coverage for Multi-UAV Using Distributed UGVs: A Two-Stage Density Estimation Approach. IRC Senthilnath Jayavelu, Harikumar Kandath, Suresh Sundaram
2018	—	`conf`	EObjCount: An Evolving Spectral and Spatial Approach for Tree Count using Multispectral Satellite Images. SSCI Akanksha Dokania, Neelanshi Varia, Senthilnath Jayavelu
2018	—	`conf`	Mutli-agent consensus under communication failure using Actor-Critic Reinforcement Learning. SSCI Harikumar Kandath, Senthilnath Jayavelu, Suresh Sundaram