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ORCIDHaoyu Wang 0004
Person information
- affiliation: Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Haoyu Wang (aka: Hao-Yu Wang) — disambiguation page
- Haoyu Wang 0001
![[0000-0003-1100-8633]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-1100-8633")
— Huazhong University of Science and Technology, Wuhan, China (and 2 more) - Haoyu Wang 0002 — Amazon Alexa, Cambridge, MA, USA (and 1 more)
- Haoyu Wang 0003 — University of Virginia, Charlottesville, VA, USA
- Haoyu Wang 0005 — University of Pennsylvania, PA, USA (and 1 more)
- Haoyu Wang 0006 — University of Ilinois at Chicago, IL, USA
- Haoyu Wang 0007 — ShanghaiTech University, Shanghai, China
- Haoyu Wang 0008 — China University of Mining and Technology, Engineering Research Center of Intelligent Control for Underground Space, China (and 1 more)
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2020 – today
- 2024
[c25]Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. EMNLP 2024: 996-1008- [c24]Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. EMNLP 2024: 1009-1025 - [c23]Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE 2024: 1380-1393 - [c22]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. ICLR 2024 - [c21]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. ICML 2024 - [c20]Qiming Cao, Hongfei Xue, Tianci Liu, Xingchen Wang, Haoyu Wang, Xincheng Zhang, Lu Su:
mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment. SenSys 2024: 184-197 - [c19]Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su:
Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement. SenSys 2024: 592-605 - [i14]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. CoRR abs/2401.10371 (2024) - [i13]Eli Chien, Haoyu Wang, Ziang Chen, Pan Li:
Stochastic Gradient Langevin Unlearning. CoRR abs/2403.17105 (2024) - [i12]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. CoRR abs/2406.00548 (2024) - [i11]Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. CoRR abs/2406.10777 (2024) - [i10]Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao:
On the Client Preference of LLM Fine-tuning in Federated Learning. CoRR abs/2407.03038 (2024) - [i9]Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang:
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models. CoRR abs/2410.01870 (2024) - [i8]Haoyu Wang, Yinan Huang, Nan Wu, Pan Li:
A Benchmark on Directed Graph Representation Learning in Hardware Designs. CoRR abs/2410.06460 (2024) - 2023
- [c18]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. AAAI 2023: 14338-14346 - [c17]Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao:
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. EMNLP (Findings) 2023: 4283-4294 - [c16]Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao:
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. EMNLP (Findings) 2023: 12426-12436 - [c15]Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao:
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD 2023: 2302-2313 - [c14]Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao:
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD 2023: 5061-5070 - [i7]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. CoRR abs/2302.09683 (2023) - [i6]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. CoRR abs/2309.16487 (2023) - [i5]Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin:
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. CoRR abs/2310.13261 (2023) - [i4]Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li:
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. CoRR abs/2310.15524 (2023) - 2022
- [c13]Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li:
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation. NeurIPS 2022 - [c12]Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su:
M4esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects. SenSys 2022: 391-406 - [c11]Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW 2022: 1839-1850 - [i3]Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li:
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation. CoRR abs/2207.05984 (2022) - 2021
- [c10]Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557 - [c9]Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM 2021: 1909-1918 - [c8]Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) 2021: 843-853 - [c7]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716 - [c6]Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao:
Fair Classification Under Strict Unawareness. SDM 2021: 199-207 - [c5]Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [i2]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR abs/2106.13711 (2021) - 2020
- [c4]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705
2010 – 2019
- 2019
- [c3]Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. AAAI 2019: 5248-5255 - [c2]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI 2019: 4802-4808 - [i1]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR abs/1906.01829 (2019) - 2018
- [c1]Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang:
Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD 2018: 2758-2767
Coauthor Index
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