Publications

The most up-to-date list can be found on my Google Scholar.

2025

  1. ICML’25
    Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing
    Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, and Jing Gao
    In The Fourty-Second International Conference on Machine Learning, 2025
  2. ACL’25
    RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
    Tianci Liu*, Haoxiang Jiang*, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, and Haoyu Wang
    In Findings of the Association for Computational Linguistics: ACL 2025, 2025
  3. ICLR’25
    Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
    Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, and Jing Gao
    In The Thirteenth International Conference on Learning Representations, 2025
  4. ICLR’25
    Towards federated rlhf with aggregated client preference for llms
    Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, and Jing Gao
    In The Thirteenth International Conference on Learning Representations, 2025
  5. arxiv
    Llms can generate a better answer by aggregating their own responses
    Zichong Li, Xinyu Feng, Yuheng Cai, Zixuan Zhang, Tianyi Liu, Chen Liang, Weizhu Chen, Haoyu Wang, and Tuo Zhao
    arXiv preprint arXiv:2503.04104, 2025
  6. arxiv
    Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration
    Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C Ho, Haoyu Wang, and Carl Yang
    arXiv preprint arXiv:2504.04915, 2025
  7. KDD’25
    Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
    Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, and Fenglong Ma
    In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025

2024

  1. ICML’24
    LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
    Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, and Jing Gao
    In The Fourty-First International Conference on Machine Learning, 2024
  2. ICDE’24
    LightLT: a lightweight representation quantization framework for long-tail data
    Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Cheng, Bing Yin, Jasha Droppo, Suhang Wang, and Jing Gao
    In 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024
  3. EMNLP’24
    BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering
    Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Cheng, Tuo Zhao, and Jing Gao
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  4. C\^ 3: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding
    Taixi Lu, Haoyu Wang, Huajie Shao, Jing Gao, and Huaxiu Yao
    arXiv preprint arXiv:2402.15991, 2024
  5. EMNLP’24
    RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning
    Haoyu Wang, Tianci Liu, Ruirui Li, Monica Cheng, Tuo Zhao, and Jing Gao
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  6. Minimalism Yields Maximum Results: Deep Learning with Limited Resource
    Haoyu Wang
    Purdue University, 2024
  7. TOSN
    Towards smartphone-based 3d hand pose reconstruction using acoustic signals
    Shiyang Wang, Xingchen Wang, Wenjun Jiang, Chenglin Miao, Qiming Cao, Haoyu Wang, Ke Sun, Hongfei Xue, and Lu Su
    ACM Transactions on Sensor Networks, 2024
  8. ICML’24
    LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models
    Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, and Jing Gao
    In The Fourty-First International Conference on Machine Learning, 2024
  9. arxiv
    NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
    Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, and Haoyu Wang
    arXiv preprint arXiv:2410.01870, 2024
  10. SenSys’24
    mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment
    Qiming Cao, Hongfei Xue, Tianci Liu, Xingchen Wang, Haoyu Wang, Xincheng Zhang, and Lu Su
    In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024
  11. SenSys’24
    Towards efficient heterogeneous multi-modal federated learning with hierarchical knowledge disentanglement
    Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, and Lu Su
    In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

2023

  1. AAAI’23
    Simfair: A unified framework for fairness-aware multi-label classification
    Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, and Jing Gao
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2023
  2. KDD’23
    Lighttoken: A task and model-agnostic lightweight token embedding framework for pre-trained language models
    Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, and others
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
  3. KDD’23
    Macular: A multi-task adversarial framework for cross-lingual natural language understanding
    Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, and Jing Gao
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
  4. EMNLP’23
    Hadskip: Homotopic and adaptive layer skipping of pre-trained language models for efficient inference
    Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, and Jing Gao
    In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
  5. EMNLP’23
    Macedon: Minimizing representation coding rate reduction for cross-lingual natural language understanding
    Haoyu Wang, Yaqing Wang, Huaxiu Yao, and Jing Gao
    In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

  1. WWW’22
    Fedkc: Federated knowledge composition for multilingual natural language understanding
    Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, and Jing Gao
    In Proceedings of the ACM Web Conference 2022, 2022
  2. SenSys’22
    M4esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects
    Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, and Lu Su
    In Proceedings of the Twentieth ACM Conference on Embedded Networked Sensor Systems, 2022

2021

  1. SDM’21
    Fair classification under strict unawareness
    Haoyu Wang, Hengtong Zhang, Yaqing Wang, and Jing Gao
    In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM), 2021
  2. SIGIR’21
    xLightFM: Extremely memory-efficient factorization machine
    Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, and Enhong Chen
    In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
  3. KDD’21
    Multimodal emergent fake news detection via meta neural process networks
    Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, and Jing Gao
    In Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining, 2021
  4. CIKM’21
    A lightweight knowledge graph embedding framework for efficient inference and storage
    Haoyu Wang, Yaqing Wang, Defu Lian, and Jing Gao
    In Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021
  5. EMNLP’21
    Knowledge-guided paraphrase identification
    Haoyu Wang, Fenglong Ma, Yaqing Wang, and Jing Gao
    In Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
  6. BIBM’21
    Interhg: an interpretable and accurate model for hypothesis generation
    Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, and Jing Gao
    In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021

2020

  1. WWW’20
    Lightrec: A memory and search-efficient recommender system
    Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, and Xing Xie
    In Proceedings of The Web Conference 2020, 2020

2019

  1. IJCAI’19
    Binarized collaborative filtering with distilling graph convolutional networks
    Haoyu Wang, Defu Lian, and Yong Ge
    In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019
  2. AAAI’19
    Adversarial Binary Collaborative Filtering for Implicit Feedback
    Haoyu Wang, Nan Shao, and Defu Lian
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2019

2018

  1. KDD’18
    Discrete ranking-based matrix factorization with self-paced learning
    Yan Zhang, Haoyu Wang, Defu Lian, Ivor W Tsang, Hongzhi Yin, and Guowu Yang
    In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018