Haoyu Wang

Orcid: 0000-0001-7485-6213

Affiliations:
  • Purdue University, West Lafayette, IN, USA


According to our database1, Haoyu Wang authored at least 28 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the Client Preference of LLM Fine-tuning in Federated Learning.
CoRR, 2024

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
CoRR, 2024

Stochastic Gradient Langevin Unlearning.
CoRR, 2024

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.
CoRR, 2024

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Towards Poisoning Fair Representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
CoRR, 2023

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.
CoRR, 2023

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
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.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

M<sup>4</sup>esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.
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.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Fair Classification Under Strict Unawareness.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Knowledge-Guided Paraphrase Identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
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.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
LightRec: A Memory and Search-Efficient Recommender System.
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.
CoRR, 2019

Binarized Collaborative Filtering with Distilling Graph Convolutional Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adversarial Binary Collaborative Filtering for Implicit Feedback.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018


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