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

LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image.
CoRR, 2024

GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models.
CoRR, 2024

MLCM: Multistep Consistency Distillation of Latent Diffusion Model.
CoRR, 2024

LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.
CoRR, 2024

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation.
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

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models.
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

An Evaluation Mechanism of LLM-based Agents on Manipulating APIs.
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

Probing Language Models for Pre-training Data Detection.
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
Development and Experimental Research of VFTO Measuring Sensor.
Sensors, 2023

MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers.
CoRR, 2023

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models.
CoRR, 2023

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback.
CoRR, 2023

Edit Everything: A Text-Guided Generative System for Images Editing.
CoRR, 2023

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently.
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

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs.
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

SNOW Revisited: Understanding When Ideal READ Transactions Are Possible.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

K2: Reading Quickly from Storage Across Many Datacenters.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

2020
DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding.
CoRR, 2020

Performance-Optimal Read-Only Transactions.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

2019
Graph Star Net for Generalized Multi-Task Learning.
CoRR, 2019

2018
The SNOW Theorem Revisited.
CoRR, 2018

Locora: Practical Wi-Fi packet loss diagnosis with only local observations.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017
The record route option is an option!
Proceedings of the 2017 Internet Measurement Conference, 2017

2016
The SNOW Theorem and Latency-Optimal Read-Only Transactions.
Proceedings of the 12th USENIX Symposium on Operating Systems Design and Implementation, 2016

2015
Existential consistency: measuring and understanding consistency at Facebook.
Proceedings of the 25th Symposium on Operating Systems Principles, 2015

2012
Retransmission rate selection for block-based partial packet recovery.
Proceedings of the 2012 IEEE Global Communications Conference, 2012


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