Haoyu Wang

According to our database, Haoyu Wang authored at least 34 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Benchmark on Directed Graph Representation Learning in Hardware Designs.

Haoyu Wang, Yinan Huang, Nan Wu, Pan Li

CoRR, 2024

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.

Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang

CoRR, 2024

On the Client Preference of LLM Fine-tuning in Federated Learning.

Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao

CoRR, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.

Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao

CoRR, 2024

Stochastic Gradient Langevin Unlearning.

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

CoRR, 2024

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

CoRR, 2024

Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement.

Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment.

Qiming Cao, Hongfei Xue, Tianci Liu, Xingchen Wang, Haoyu Wang, Xincheng Zhang, Lu Su

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.

Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Poisoning Fair Representations.

Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.

Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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 Xiao Cheng, Tuo Zhao, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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 Xiao Cheng, Tuo Zhao, Jing Gao

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.

Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li

CoRR, 2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin

CoRR, 2023

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.

Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

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 Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.

Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.

Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.

Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.

Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

M⁴esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects.

Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su

Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.

Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

xLightFM: Extremely Memory-Efficient Factorization Machine.

Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Fair Classification Under Strict Unawareness.

Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multimodal Emergent Fake News Detection via Meta Neural Process Networks.

Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge-Guided Paraphrase Identification.

Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.

Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.

Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

LightRec: A Memory and Search-Efficient Recommender System.

Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks.

Haoyu Wang, Defu Lian, Yong Ge

CoRR, 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Network.

Haoyu Wang, Defu Lian, Yong Ge

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Binary Collaborative Filtering for Implicit Feedback.

Haoyu Wang, Nan Shao, Defu Lian

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Discrete Ranking-based Matrix Factorization with Self-Paced Learning.

Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018