Xiang Liu
Orcid: 0009-0003-2639-1804Affiliations:
- Hong Kong University of Science and Technology, Guang Zhou, China
According to our database1,
Xiang Liu
authored at least 36 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2025
City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning.
CoRR, July, 2025
AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models.
CoRR, June, 2025
Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.
CoRR, May, 2025
FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management.
CoRR, May, 2025
CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring.
CoRR, May, 2025
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
CoRR, February, 2025
Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research.
CoRR, February, 2025
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.
CoRR, February, 2025
Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing.
CoRR, February, 2025
CoRR, February, 2025
ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference.
CoRR, February, 2025
EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.
CoRR, 2023
2021
Time-Series Regeneration With Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation.
IEEE Trans. Ind. Informatics, 2021
2020
Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images.
Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020
2019
Robot Control in Human Environment using Deep Reinforcement Learning and Convolutional Neural Network.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019
2018
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018
2017
Indoor positioning using similarity-based sequence and dead reckoning without training.
Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017
Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
2016
IEEE Wirel. Commun., 2016
Design of Cloud-Connected IoT System for Smart Buildings on Energy Management (Invited paper).
EAI Endorsed Trans. Ind. Networks Intell. Syst., 2016
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016
Relative Positioning by Fusing Signal Strength and Range Information in a Probabilistic Framework.
Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016
2015
IEEE Access, 2015
2014
Proceedings of the Internet of Things. IoT Infrastructures, 2014