Haoyu Wang

61 papers A* 22A 2Misc 3Journal 23Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training.
CoRR
Ran Xu, Tianci Liu, Zihan Dong, Tony Yu, Ilgee Hong, Carl Yang, Linjun Zhang, Tao Zhao, Haoyu Wang
2026 — conf
PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers.
KDD (1)
Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang
2026 A* conf
Towards A Universal Graph Structural Encoder.
WWW
Jialin Chen, Haolan Zuo, Haoyu Wang, Siqi Miao, Pan Li, Rex Ying
2025 J jnl
Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models.
CoRR
Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li
2025 A* conf
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing.
ICML
Tianci Liu, Ruirui Li, Zihan Dong, Hui Liu, Xianfeng Tang, Qingyu Yin, Linjun Zhang, Haoyu Wang, Jing Gao
2025 J jnl
Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing.
CoRR
Tianci Liu, Zihan Dong, Linjun Zhang, Haoyu Wang, Jing Gao
2025 J jnl
Model Generalization on Text Attribute Graphs: Principles with Large Language Models.
CoRR
Haoyu Wang, Shikun Liu, Rongzhe Wei, Pan Li
2025 J jnl
OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment.
CoRR
Tianci Liu, Ran Xu, Tony Yu, Ilgee Hong, Carl Yang, Tuo Zhao, Haoyu Wang
2025 — conf
RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery.
KDD (2)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 — conf
RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web.
WWW (Companion Volume)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 — conf
Resource-Efficient Learning for the Web.
WWW (Companion Volume)
Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng, Huan Liu
2025 — conf
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.
ACL (Findings)
Tianci Liu, Haoxiang Jiang, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, Haoyu Wang
2025 J jnl
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.
CoRR
Tianci Liu, Haoxiang Jiang, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, Haoyu Wang
2025 — conf
Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models.
ICDM (Workshops)
Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao
2025 — conf
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift.
KDD (2)
Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025 J jnl
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift.
CoRR
Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025 A* conf
Towards Federated RLHF with Aggregated Client Preference for LLMs.
ICLR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Lu Su, Jing Gao
2025 A* conf
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
ICLR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025 J jnl
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
CoRR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2024 J jnl
A Benchmark on Directed Graph Representation Learning in Hardware Designs.
CoRR
Haoyu Wang, Yinan Huang, Nan Wu, Pan Li
2024 A* conf
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering.
EMNLP
Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 A* conf
Certified Machine Unlearning via Noisy Stochastic Gradient Descent.
NeurIPS
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024 A* conf
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
ICML
Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao
2024 J jnl
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models.
CoRR
Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao
2024 A* conf
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.
NeurIPS
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024 J jnl
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning.
CoRR
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024 A* conf
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
ICDE
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024 J jnl
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models.
CoRR
Yibo Zhong, Haoxiang Jiang, Lincan Li, Ryumei Nakada, Tianci Liu, Linjun Zhang, Huaxiu Yao, Haoyu Wang
2024 J jnl
On the Client Preference of LLM Fine-tuning in Federated Learning.
CoRR
Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao
2024 A* conf
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
EMNLP
Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao
2024 J jnl
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning.
CoRR
Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao
2024 J jnl
Stochastic Gradient Langevin Unlearning.
CoRR
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
2024 Misc conf
Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement.
SenSys
Xingchen Wang, Haoyu Wang, Feijie Wu, Tianci Liu, Qiming Cao, Lu Su
2024 A* conf
Towards Poisoning Fair Representations.
ICLR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2024 J jnl
Towards Smartphone-based 3D Hand Pose Reconstruction Using Acoustic Signals.
ACM Trans. Sens. Networks
Shiyang Wang, Xingchen Wang, Wenjun Jiang, Chenglin Miao, Qiming Cao, Haoyu Wang, Ke Sun, Hongfei Xue, Lu Su
2024 Misc conf
mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment.
SenSys
Qiming Cao, Hongfei Xue, Tianci Liu, Xingchen Wang, Haoyu Wang, Xincheng Zhang, Lu Su
2023 J jnl
DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.
CoRR
Haoyu Wang, Jialin Liu, Xiaohan Chen, Xinshang Wang, Pan Li, Wotao Yin
2023 — conf
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
EMNLP (Findings)
Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao
2023 A* conf
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
KDD
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023 — conf
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.
EMNLP (Findings)
Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao
2023 A* conf
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
KDD
Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao
2023 J jnl
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models.
CoRR
Rongzhe Wei, Eleonora Kreacic, Haoyu Wang, Haoteng Yin, Eli Chien, Vamsi K. Potluru, Pan Li
2023 A* conf
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
AAAI
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
2023 J jnl
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
CoRR
Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao
2023 J jnl
Towards Poisoning Fair Representations.
CoRR
Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao
2022 A* conf
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
WWW
Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao
2022 Misc conf
M
SenSys
Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su
2022 A* conf
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.
NeurIPS
Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
2022 J jnl
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.
CoRR
Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
2021 A conf
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
CIKM
Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao
2021 A conf
Fair Classification Under Strict Unawareness.
SDM
Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao
2021 — conf
InterHG: an Interpretable and Accurate Model for Hypothesis Generation.
BIBM
Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao
2021 — conf
Knowledge-Guided Paraphrase Identification.
EMNLP (Findings)
Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2021 A* conf
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
KDD
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021 J jnl
Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
CoRR
Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021 A* conf
xLightFM: Extremely Memory-Efficient Factorization Machine.
SIGIR
Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen
2020 A* conf
LightRec: A Memory and Search-Efficient Recommender System.
WWW
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2019 A* conf
Adversarial Binary Collaborative Filtering for Implicit Feedback.
AAAI
Haoyu Wang, Nan Shao, Defu Lian
2019 A* conf
Binarized Collaborative Filtering with Distilling Graph Convolutional Network.
IJCAI
Haoyu Wang, Defu Lian, Yong Ge
2019 J jnl
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks.
CoRR
Haoyu Wang, Defu Lian, Yong Ge
2018 A* conf
Discrete Ranking-based Matrix Factorization with Self-Paced Learning.
KDD
Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang