Haonan Lu
Orcid: 0000-0001-6332-2785
According to our database1,
Haonan Lu
authored at least 40 papers
between 2012 and 2024.
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Bibliography
2024
Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting.
IEEE Trans. Vis. Comput. Graph., May, 2024
GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models.
CoRR, 2024
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.
CoRR, 2024
CoRR, 2024
Subject-Diffusion: Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning.
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024
Accelerating Skewed Workloads With Performance Multipliers in the TurboDB Distributed Database.
Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024
InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in Non-english Text-to-Image Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers.
CoRR, 2023
CoRR, 2023
Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.
CoRR, 2023
CoRR, 2023
CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout.
CoRR, 2023
NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall.
Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023
Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
2022
DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy.
Neurocomputing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona.
CoRR, 2021
KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs.
CoRR, 2021
AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation.
CoRR, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
2020
CoRR, 2020
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020
2019
2018
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018
2017
Proceedings of the 2017 Internet Measurement Conference, 2017
2016
Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016
2015
Proceedings of the 25th Symposium on Operating Systems Principles, 2015
2012
Proceedings of the 2012 IEEE Global Communications Conference, 2012