Retransmission rate selection for block-based partial packet recovery. - Haonan Lu; Shuaiyuan Zhou; Zhenghao Zhang (GLOBECOM, 2012)

Existential consistency: measuring and understanding consistency at Facebook. - Haonan Lu; Kaushik Veeraraghavan; Philippe Ajoux; Jim Hunt; Yee Jiun Song; Wendy Tobagus; Sanjeev Kumar; Wyatt Lloyd (SOSP, 2015)

The SNOW Theorem and Latency-Optimal Read-Only Transactions. - Haonan Lu; Christopher Hodsdon; Khiem Ngo; Shuai Mu 001; Wyatt Lloyd (OSDI, 2016)

The record route option is an option! - Brian J. Goodchild; Yi-Ching Chiu; Rob Hansen; Haonan Lu; Matt Calder; Matthew J. Luckie; Wyatt Lloyd; David R. Choffnes; Ethan Katz-Bassett (Internet Measurement Conference, 2017)

Locora: Practical Wi-Fi packet loss diagnosis with only local observations. - Shuaiyuan Zhou; Haonan Lu; Avishek Mukherjee; Zhenghao Zhang (WCNC, 2018)

The SNOW Theorem Revisited. - Kishori M. Konwar; Wyatt Lloyd; Haonan Lu; Nancy A. Lynch (CoRR, 2018)

Graph Star Net for Generalized Multi-Task Learning. - Haonan Lu; Seth H. Huang; Tian Ye 008; Xiuyan Guo (CoRR, 2019)

Performance-Optimal Read-Only Transactions. - Haonan Lu; Siddhartha Sen 001; Wyatt Lloyd (OSDI, 2020)

DensE: An Enhanced Non-Abelian Group Representation for Knowledge Graph Embedding. - Haonan Lu; Hailin Hu 002 (CoRR, 2020)

K2: Reading Quickly from Storage Across Many Datacenters. - Khiem Ngo; Haonan Lu; Wyatt Lloyd (DSN, 2021)

SNOW Revisited: Understanding When Ideal READ Transactions Are Possible. - Kishori M. Konwar; Wyatt Lloyd; Haonan Lu; Nancy A. Lynch (IPDPS, 2021)

AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation. - Mingxiang Chen; Zhanguo Chang; Haonan Lu; Bitao Yang; Zhuang Li; Liufang Guo; Zhecheng Wang (CoRR, 2021)

KELM: Knowledge Enhanced Pre-Trained Language Representations with Message Passing on Hierarchical Relational Graphs. - Yinquan Lu; Haonan Lu; Guirong Fu; Qun Liu 001 (CoRR, 2021)

Emily: Developing An Emotion-affective Open-Domain Chatbot with Knowledge Graph-based Persona. - Weixuan Wang; Xiaoling Cai; Chong Hsuan Huang; Haoran Wang; Haonan Lu; Ximing Liu; Wei Peng 011 (CoRR, 2021)

GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs. - Dong Yang; Peijun Qing; Yang Li; Haonan Lu; Xiaodong Lin 004 (EMNLP, 2022)

DensE: An enhanced non-commutative representation for knowledge graph embedding with adaptive semantic hierarchy. - Haonan Lu; Hailin Hu 002; Xiaodong Lin 004 (Neurocomputing, 2022)

Interactive Interior Design Recommendation via Coarse-to-fine Multimodal Reinforcement Learning. - He Zhang; Ying Sun 006; Weiyu Guo; Yafei Liu; Haonan Lu; Xiaodong Lin 004; Hui Xiong 001 (ACM Multimedia, 2023)

NCC: Natural Concurrency Control for Strictly Serializable Datastores by Avoiding the Timestamp-Inversion Pitfall. - Haonan Lu; Shuai Mu 001; Siddhartha Sen 001; Wyatt Lloyd (OSDI, 2023)

CompoNeRF: Text-guided Multi-object Compositional NeRF with Editable 3D Scene Layout. - Yiqi Lin; Haotian Bai; Sijia Li; Haonan Lu; Xiaodong Lin 004; Hui Xiong 001; Lin Wang 025 (CoRR, 2023)

GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. - Jian Ma; Mingjun Zhao; Chen Chen 015; Ruichen Wang; Di Niu; Haonan Lu; Xiaodong Lin 004 (CoRR, 2023)

Edit Everything: A Text-Guided Generative System for Images Editing. - Defeng Xie; Ruichen Wang; Jian Ma; Chen Chen 015; Haonan Lu; Dong Yang; Fobo Shi; Xiaodong Lin 004 (CoRR, 2023)

Towards Language-guided Interactive 3D Generation: LLMs as Layout Interpreter with Generative Feedback. - Yiqi Lin; Hao Wu 094; Ruichen Wang; Haonan Lu; Xiaodong Lin 004; Hui Xiong 001; Lin Wang 025 (CoRR, 2023)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models. - Fobo Shi; Peijun Qing; Dong Yang; Nan Wang; Youbo Lei; Haonan Lu; Xiaodong Lin 004 (CoRR, 2023)

MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers. - Sijia Li; Chen Chen 015; Haonan Lu (CoRR, 2023)

Development and Experimental Research of VFTO Measuring Sensor. - Zihan Teng; Jun Zhao; Qi Wang; Haonan Lu; Jiangong Zhang (Sensors, 2023)

Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion Models. - Ruichen Wang; Zekang Chen; Chen Chen 015; Jian Ma; Haonan Lu; Xiaodong Lin 004 (AAAI, 2024)

Probing Language Models for Pre-training Data Detection. - Zhenhua Liu; Tong Zhu 002; Chuanyuan Tan; Bing Liu; Haonan Lu; Wenliang Chen (ACL (1), 2024)

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in Non-english Text-to-Image Generation. - Jian Ma; Chen Chen 015; Qingsong Xie; Haonan Lu (ECCV (68), 2024)

An Evaluation Mechanism of LLM-based Agents on Manipulating APIs. - Bing Liu; Jianxiang Zhou; Dan Meng; Haonan Lu (EMNLP (Findings), 2024)

MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval. - Youbo Lei; Feifei He; Chen Chen 015; Yingbin Mo; Sijia Li; Defeng Xie; Haonan Lu (NAACL-HLT (Findings), 2024)

Prompt Space Optimizing Few-shot Reasoning Success with Large Language Models. - Fobo Shi; Peijun Qing; Dong Yang; Nan Wang; Youbo Lei; Haonan Lu; Xiaodong Lin 004; Duantengchuan Li (NAACL-HLT (Findings), 2024)

InsCL: A Data-efficient Continual Learning Paradigm for Fine-tuning Large Language Models with Instructions. - Yifan Wang; Yafei Liu; Chufan Shi; Haoling Li; Chen Chen 015; Haonan Lu; Yujiu Yang (NAACL-HLT, 2024)

Accelerating Skewed Workloads With Performance Multipliers in the TurboDB Distributed Database. - Jennifer Lam; Jeffrey Helt; Wyatt Lloyd; Haonan Lu (NSDI, 2024)

Subject-Diffusion: Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning. - Jian Ma; Junhao Liang; Chen Chen 015; Haonan Lu (SIGGRAPH (Conference Paper Track), 2024)

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. - Hongjian Liu; Qingsong Xie; Zhijie Deng; Chen Chen 015; Shixiang Tang; Fueyang Fu; Zhengjun Zha; Haonan Lu (CoRR, 2024)

LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models. - Dingkun Zhang; Sijia Li; Chen Chen 015; Qingsong Xie; Haonan Lu (CoRR, 2024)

MLCM: Multistep Consistency Distillation of Latent Diffusion Model. - Qingsong Xie; Zhenyi Liao; Chen Chen 015; Zhijie Deng; Shixiang Tang; Haonan Lu (CoRR, 2024)

GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models. - Jian Ma; Yonglin Deng; Chen Chen; Haonan Lu; Zhenyu Yang (CoRR, 2024)

LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image. - Fan Yang 083; Sicheng Zhao; Yanhao Zhang 001; Haoxiang Chen 007; Hui Chen 013; Wenbo Tang; Haonan Lu; Pengfei Xu 003; Zhenyu Yang; Jungong Han; Guiguang Ding (CoRR, 2024)

PainterNet: Adaptive Image Inpainting with Actual-Token Attention and Diverse Mask Control. - Ruichen Wang; Junliang Zhang; Qingsong Xie; Chen Chen; Haonan Lu (CoRR, 2024)

GenX: Mastering Code and Test Generation with Execution Feedback. - Nan Wang; Yafei Liu; Chen Chen; Haonan Lu (CoRR, 2024)

Dream360: Diverse and Immersive Outdoor Virtual Scene Creation via Transformer-Based 360° Image Outpainting. - Hao Ai; Zidong Cao; Haonan Lu; Chen Chen 015; Jian Ma; Pengyuan Zhou; Tae-Kyun Kim 001; Pan Hui 001; Lin Wang 025 (IEEE Trans. Vis. Comput. Graph., 2024)

SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation. - Hongjian Liu; Qingsong Xie; Tianxiang Ye; Zhijie Deng; Chen Chen 015; Shixiang Tang; Xueyang Fu; Haonan Lu; Zheng-Jun Zha (AAAI, 2025)

GlyphDraw2: Automatic Generation of Complex Glyph Posters with Diffusion Models and Large Language Models. - Jian Ma; Yonglin Deng; Chen Chen; Nanyang Du; Haonan Lu; Zhenyu Yang (AAAI, 2025)

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization. - Siyuan Li 002; Luyuan Zhang; Zedong Wang; Juanxi Tian; Cheng Tan 012; Zicheng Liu 006; Chang Yu 001; Qingsong Xie; Haonan Lu; Haoqian Wang; Zhen Lei 001 (CVPR, 2025)

HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator. - Fan Yang 083; Ru Zhen; Jianing Wang; Yanhao Zhang 001; Haoxiang Chen 007; Haonan Lu; Sicheng Zhao; Guiguang Ding (CVPR, 2025)

X2I: Seamless Integration of Multimodal Understanding into Diffusion Transformer via Attention Distillation. - Jian Ma; Qirong Peng; Xu Guo; Chen Chen; Haonan Lu; Zhenyu Yang (CoRR, 2025)

Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 Tokens. - Qingsong Xie; Zhao Zhang; Zhe Huang; Yanhao Zhang; Haonan Lu; Zhenyu Yang (CoRR, 2025)

H2VU-Benchmark: A Comprehensive Benchmark for Hierarchical Holistic Video Understanding. - Qi Wu; Quanlong Zheng; Yanhao Zhang; Junlin Xie; Jinguo Luo; Kuo Wang; Peng Liu; Qingsong Xie; Ru Zhen; Haonan Lu; Zhenyu Yang (CoRR, 2025)

Improved Visual-Spatial Reasoning via R1-Zero-Like Training. - Zhenyi Liao; Qingsong Xie; Yanhao Zhang; Zijian Kong; Haonan Lu; Zhenyu Yang; Zhijie Deng (CoRR, 2025)

Dynamic-I2V: Exploring Image-to-Video Generation Models via Multimodal LLM. - Peng Liu; Xiaoming Ren; Fengkai Liu; Qingsong Xie; Quanlong Zheng; Yanhao Zhang; Haonan Lu; Yujiu Yang (CoRR, 2025)

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation. - Yu Lei; Bingde Liu; Qingsong Xie; Haonan Lu; Zhijie Deng (CoRR, 2025)

DMTrack: Spatio-Temporal Multimodal Tracking via Dual-Adapter. - Weihong Li 002; Shaohua Dong; Haonan Lu; Yanhao Zhang; Heng Fan 001; Libo Zhang 001 (CoRR, 2025)

Free-MoRef: Instantly Multiplexing Context Perception Capabilities of Video-MLLMs within Single Inference. - Kuo Wang; Quanlong Zheng; Junlin Xie; Yanhao Zhang; Jinguo Luo; Haonan Lu; Liang Lin; Fan Zhou; Guanbin Li (CoRR, 2025)

X2Edit: Revisiting Arbitrary-Instruction Image Editing through Self-Constructed Data and Task-Aware Representation Learning. - Jian Ma; Xujie Zhu; Zihao Pan; Qirong Peng; Xu Guo; Chen Chen; Haonan Lu (CoRR, 2025)

Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented Generation. - Yuechen Wang; Yuming Qiao; Dan Meng; Jun Yang; Haonan Lu; Zhenyu Yang; Xudong Zhang (CoRR, 2025)