| 2026 | AAAI | CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction. | Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan |
| 2026 | ACL | Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective. | Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen |
| 2026 | ACL | Exploration-Exploitation Reshaping towards Efficient Reasoning for Large Language Models. | Yufeng Shi, Weilin Luo, Yuxiang Zhang, Zongmeng Zhang, Haoyang Liu, Yubing Wang, Bin Wang, Wengang Zhou, Houqiang Li |
| 2025 | AAAI | Towards Adversarially Robust Dataset Distillation by Curvature Regularization. | Eric Xue, Yijiang Li, Haoyang Liu, Peiran Wang, Yifan Shen, Haohan Wang |
| 2025 | ICCV | Dataset Distillation via the Wasserstein Metric. | Haoyang Liu, Yijiang Li, Tiancheng Xing, Peiran Wang, Vibhu Dalal, Luwei Li, Jingrui He, Haohan Wang |
| 2025 | ICLR | Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming. | Haoyang Liu, Jie Wang, Zijie Geng, Xijun Li, Yuxuan Zong, Fangzhou Zhu, Jianye Hao, Feng Wu |
| 2025 | MICCAI | MGG-Net: A Multi-modal Feature Extraction and Global-Aware Feature Graph-Based Deep Learning Network for MGMT Status Classification in Glioma. | Haoyang Liu, Yuwen Zeng, Xiaoyong Zhang, Wentong Zhou, Arata Nagai, Masayuki Kanamori, Hidenori Endo, Noriyasu Homma |
| 2025 | WWW | Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation. | Wenyu Mao, Shuchang Liu, Haoyang Liu, Haozhe Liu, Xiang Li, Lantao Hu |
| 2024 | GECCO | Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics. | Hongyu Liu, Haoyang Liu, Yufei Kuang, Jie Wang, Bin Li |
| 2024 | ICLR | Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework. | Yufei Kuang, Jie Wang, Haoyang Liu, Fangzhou Zhu, Xijun Li, Jia Zeng, Jianye Hao, Bin Li, Feng Wu |
| 2024 | ICLR | Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models. | Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang |
| 2024 | ICML | Accelerating PDE Data Generation via Differential Operator Action in Solution Space. | Huanshuo Dong, Hong Wang, Haoyang Liu, Jian Luo, Jie Wang |
| 2024 | IJCAI | Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition. | Haoyang Liu, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu |
| 2021 | IWCMC | Coverage Probability and Area Spectral Efficiency Analysis of Multi-Antenna Ultra-Dense Networks over Nakagami-$m$ Fading Channels. | Donglai Zhao, Gang Wang, Haoyang Liu, Ruoyu Zhang |
| 2020 | BIBE | Frequency Response of a Novel IR Based Pressure Sensitive Mat for Well-being Assessment. | Bruce Wallace, Julien Larivire-Chartier, Haoyang Liu, Tom Sloan, Rafik Goubran, Frank Knoefel |
| 2019 | IJCNN | Sports Motion Recognition based on Foot Trajectory State Sequence Mapping. | Lingjia Huang, Hao Ma, Weichao Yan, Wuda Liu, Haoyang Liu, Zaiyue Yang |
| 2011 | ICASSP | Logarithmic weak regret of non-Bayesian restless multi-armed bandit. | Haoyang Liu, Keqin Liu, Qing Zhao |
| 2011 | ITA | Learning and sharing in a changing world: Non-Bayesian restless bandit with multiple players. | Haoyang Liu, Keqin Liu, Qing Zhao |