Discrete Ranking-based Matrix Factorization with Self-Paced Learning. - Yan Zhang 036; Haoyu Wang 004; Defu Lian; Ivor W. Tsang; Hongzhi Yin; Guowu Yang (KDD, 2018)

Adversarial Binary Collaborative Filtering for Implicit Feedback. - Haoyu Wang 004; Nan Shao; Defu Lian (AAAI, 2019)

Binarized Collaborative Filtering with Distilling Graph Convolutional Network. - Haoyu Wang 004; Defu Lian; Yong Ge (IJCAI, 2019)

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. - Haoyu Wang 004; Defu Lian; Yong Ge (CoRR, 2019)

LightRec: A Memory and Search-Efficient Recommender System. - Defu Lian; Haoyu Wang 004; Zheng Liu 011; Jianxun Lian; Enhong Chen; Xing Xie 001 (WWW, 2020)

InterHG: an Interpretable and Accurate Model for Hypothesis Generation. - Haoyu Wang 004; Xuan Wang 008; Yaqing Wang 001; Guangxu Xun; Kishlay Jha; Jing Gao 004 (BIBM, 2021)

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. - Haoyu Wang 004; Yaqing Wang 001; Defu Lian; Jing Gao 004 (CIKM, 2021)

Knowledge-Guided Paraphrase Identification. - Haoyu Wang 004; Fenglong Ma; Yaqing Wang 001; Jing Gao 004 (EMNLP (Findings), 2021)

Multimodal Emergent Fake News Detection via Meta Neural Process Networks. - Yaqing Wang 001; Fenglong Ma; Haoyu Wang 004; Kishlay Jha; Jing Gao 004 (KDD, 2021)

Fair Classification Under Strict Unawareness. - Haoyu Wang 004; Hengtong Zhang; Yaqing Wang 001; Jing Gao 004 (SDM, 2021)

xLightFM: Extremely Memory-Efficient Factorization Machine. - Gangwei Jiang; Hao Wang 076; Jin Chen 008; Haoyu Wang 004; Defu Lian; Enhong Chen (SIGIR, 2021)

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation. - Haoyu Wang 004; Nan Wu; Hang Yang; Cong Hao; Pan Li 005 (NeurIPS, 2022)

M4esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects. - Hongfei Xue; Qiming Cao; Yan Ju; Haochen Hu; Haoyu Wang 004; Aidong Zhang; Lu Su 001 (SenSys, 2022)

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. - Haoyu Wang 004; Handong Zhao; Yaqing Wang 001; Tong Yu 001; Jiuxiang Gu; Jing Gao 004 (WWW, 2022)

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. - Tianci Liu 003; Haoyu Wang 004; Yaqing Wang 001; Xiaoqian Wang 001; Lu Su 001; Jing Gao 004 (AAAI, 2023)

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. - Haoyu Wang 004; Yaqing Wang 001; Tianci Liu 003; Tuo Zhao; Jing Gao 004 (EMNLP (Findings), 2023)

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. - Haoyu Wang 004; Yaqing Wang 001; Huaxiu Yao; Jing Gao 004 (EMNLP (Findings), 2023)

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Zhengyang Wang; Xianfeng Tang; Bin Bi; Monica Xiao Cheng; Bing Yin; Yaqing Wang 001; Tuo Zhao; Jing Gao 004 (KDD, 2023)

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. - Haoyu Wang 004; Yaqing Wang 001; Feijie Wu; Hongfei Xue; Jing Gao 004 (KDD, 2023)

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee. - Haoyu Wang 004; Jialin Liu 003; Xiaohan Chen; Xinshang Wang; Pan Li 005; Wotao Yin (CoRR, 2023)

On the Inherent Privacy Properties of Discrete Denoising Diffusion Models. - Rongzhe Wei; Eleonora Kreacic; Haoyu Wang 004; Haoteng Yin; Eli Chien; Vamsi K. Potluru; Pan Li 005 (CoRR, 2023)

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. - Haoyu Wang 004; Tianci Liu 003; Ruirui Li 002; Monica Xiao Cheng; Tuo Zhao; Jing Gao 004 (EMNLP, 2024)

BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Jinjin Tian; Zhengyang Wang; Chen Luo 003; Xianfeng Tang; Monica Xiao Cheng; Tuo Zhao; Jing Gao 004 (EMNLP, 2024)

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. - Haoyu Wang 004; Ruirui Li 002; Zhengyang Wang; Xianfeng Tang; Danqing Zhang; Monica Xiao Cheng; Bing Yin; Jasha Droppo; Suhang Wang; Jing Gao 004 (ICDE, 2024)

Towards Poisoning Fair Representations. - Tianci Liu 003; Haoyu Wang 004; Feijie Wu; Hengtong Zhang; Pan Li 005; Lu Su 001; Jing Gao 004 (ICLR, 2024)

LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. - Tianci Liu 003; Haoyu Wang 004; Shiyang Wang; Yu Cheng; Jing Gao 004 (ICML, 2024)

Certified Machine Unlearning via Noisy Stochastic Gradient Descent. - Eli Chien; Haoyu Wang 004; Ziang Chen; Pan Li 005 (NeurIPS, 2024)

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. - Eli Chien; Haoyu Wang 004; Ziang Chen; Pan Li 005 (NeurIPS, 2024)

mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment. - Qiming Cao; Hongfei Xue; Tianci Liu 003; Xingchen Wang; Haoyu Wang 004; Xincheng Zhang; Lu Su 001 (SenSys, 2024)

Towards Efficient Heterogeneous Multi-Modal Federated Learning with Hierarchical Knowledge Disentanglement. - Xingchen Wang; Haoyu Wang 004; Feijie Wu; Tianci Liu 003; Qiming Cao; Lu Su 001 (SenSys, 2024)

Stochastic Gradient Langevin Unlearning. - Eli Chien; Haoyu Wang 004; Ziang Chen; Pan Li 005 (CoRR, 2024)

RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. - Haoyu Wang 004; Tianci Liu 003; Tuo Zhao; Jing Gao 004 (CoRR, 2024)

On the Client Preference of LLM Fine-tuning in Federated Learning. - Feijie Wu; Xiaoze Liu; Haoyu Wang 004; Xingchen Wang; Jing Gao 004 (CoRR, 2024)

NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models. - Yibo Zhong; Haoxiang Jiang; Lincan Li; Ryumei Nakada; Tianci Liu 003; Linjun Zhang; Huaxiu Yao; Haoyu Wang 004 (CoRR, 2024)

A Benchmark on Directed Graph Representation Learning in Hardware Designs. - Haoyu Wang 004; Yinan Huang; Nan Wu; Pan Li 005 (CoRR, 2024)

Towards Smartphone-based 3D Hand Pose Reconstruction Using Acoustic Signals. - Shiyang Wang; Xingchen Wang; Wenjun Jiang; Chenglin Miao; Qiming Cao; Haoyu Wang 004; Ke Sun 012; Hongfei Xue; Lu Su 001 (ACM Trans. Sens. Networks, 2024)

RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization. - Tianci Liu 003; Haoxiang Jiang; Tianze Wang; Ran Xu; Yue Yu; Linjun Zhang; Tuo Zhao; Haoyu Wang 004 (ACL (Findings), 2025)

Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning. - Tianci Liu 003; Ruirui Li 002; Yunzhe Qi; Hui Liu 031; Xianfeng Tang; Tianqi Zheng; Qingyu Yin; Monica Xiao Cheng; Jun Huan; Haoyu Wang 004; Jing Gao 004 (ICLR, 2025)

Towards Federated RLHF with Aggregated Client Preference for LLMs. - Feijie Wu; Xiaoze Liu; Haoyu Wang 004; Xingchen Wang; Lu Su 001; Jing Gao 004 (ICLR, 2025)

Resource-Efficient Learning for the Web. - Chuxu Zhang; Kaize Ding; Jundong Li; Dongkuan Xu; Haoyu Wang 004; Derek Zhiyuan Cheng; Huan Liu 001 (WWW (Companion Volume), 2025)

RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web. - Chuxu Zhang; Kaize Ding; Jundong Li; Dongkuan Xu; Haoyu Wang 004; Derek Zhiyuan Cheng; Huan Liu 001 (WWW (Companion Volume), 2025)

Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing. - Tianci Liu 003; Zihan Dong; Linjun Zhang; Haoyu Wang 004; Jing Gao 004 (CoRR, 2025)

Model Generalization on Text Attribute Graphs: Principles with Large Language Models. - Haoyu Wang 004; Shikun Liu; Rongzhe Wei; Pan Li 005 (CoRR, 2025)

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. - Haoyu Wang 004; Peihao Wang; Mufei Li; Shikun Liu; Siqi Miao 001; Zhangyang Wang; Pan Li 005 (CoRR, 2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. - Tianrun Yu; Jiaqi Wang 002; Haoyu Wang 004; Mingquan Lin; Han Liu 008; Nelson S. Yee; Fenglong Ma (CoRR, 2025)