Kaixiang Lin

According to our database1, Kaixiang Lin authored at least 32 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk.
CoRR, 2024

2023
Transfer Learning in Deep Reinforcement Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg.
J. Artif. Intell. Res., 2023

Automated Few-Shot Classification with Instruction-Finetuned Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Learning Two-Step Hybrid Policy for Graph-Based Interpretable Reinforcement Learning.
Trans. Mach. Learn. Res., 2022

PMRSS: Privacy-Preserving Medical Record Searching Scheme for Intelligent Diagnosis in IoT Healthcare.
IEEE Trans. Ind. Informatics, 2022

DialFRED: Dialogue-Enabled Agents for Embodied Instruction Following.
IEEE Robotics Autom. Lett., 2022

An Effective Reconstruction Method of the APT Attack Based on Hidden Markov Model.
J. Circuits Syst. Comput., 2022

Parameter and Data Efficient Continual Pre-training for Robustness to Dialectal Variance in Arabic.
CoRR, 2022

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.
CoRR, 2022

Learning to Act with Affordance-Aware Multimodal Neural SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
High-Performance Isolation Computing Technology for Smart IoT Healthcare in Cloud Environments.
IEEE Internet Things J., 2021

LUMINOUS: Indoor Scene Generation for Embodied AI Challenges.
CoRR, 2021

RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
PowerNet: Multi-agent Deep Reinforcement Learning for Scalable Powergrid Control.
CoRR, 2020

Transfer Learning in Deep Reinforcement Learning: A Survey.
CoRR, 2020

Federated Learning's Blessing: FedAvg has Linear Speedup.
CoRR, 2020

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations.
CoRR, 2020

Off-Policy Imitation Learning from Observations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Ranking Policy Gradient.
Proceedings of the 8th International Conference on Learning Representations, 2020

2018
Differentially Private Generative Adversarial Network.
CoRR, 2018

Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation.
CoRR, 2018

Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Collaborative Deep Reinforcement Learning.
CoRR, 2017

Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records.
IEEE Trans. Multim., 2016

Stochastic convex sparse principal component analysis.
EURASIP J. Bioinform. Syst. Biol., 2016

Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Multi-Task Feature Interaction Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Interactive Multi-task Relationship Learning.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2014
Category-based dynamic recommendations adaptive to user interest drifts.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014


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