| 2026 | WWW | Smaller but Better: Plasticity-Preserving Continual Learning for Embedded AI. | Chenxin Mao, Haibo Liu, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2026 | WWW | Riemannian Graph Tokenizer for Structural Knowledge Transfer. | Qimin Zhou, Haibo Liu, Yujie Wang, Li Sun, Chuan Shi |
| 2025 | CogSci | CoRe: Cognitive Reasoning Framework for Zero-Shot Table Understanding and Reasoning. | Jiongfan Chen, Chengfeng Chen, Haibo Liu, Fang Wang, Ying Chen, Haicong Li, Bo Zhang |
| 2025 | IJCNN | A Domain-Adaptive Framework for Constructing Eventic Graphs. | Haibo Liu, Shengze Wang, Jing Shen |
| 2025 | IJCNN | xLSRec: xLSTM for Sequential Recommendation. | Haibo Liu, Mingyu Zhao, Jinglian Liu |
| 2025 | INFOCOM | Latency-Aware Online Continual Learning for Non-Stationary Data Streams. | Haibo Liu, Da Huo, Zhenzhe Zheng, Fan Wu |
| 2025 | WWW | Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. | Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu |
| 2025 | WISE | GACS: Graph Contrastive Learning with Augmented Collaborative Signals for Recommendation. | Haibo Liu, Lianjie Yu, Wenlong Zheng, Yunlong Zhou, Jinglian Liu, ShiYong Fan |
| 2024 | ICONIP | Multi-pattern Joint Denoising Diffusion Model for Sequential Recommendation. | Haibo Liu, Hancheng Lu, Hui Li, Liang Wang, Jinjia Peng |
| 2024 | WISE | CSA4Rec: Collaborative Signals Augmentation Model Based on GCN for Recommendation. | Haibo Liu, Lianjie Yu, Yali Si, Jinglian Liu |
| 2023 | ADMA | Feature Representation Enhancing by Context Sensitive Information in CTR Prediction. | Haibo Liu, Yafang Guo, Liang Wang, Xin Song |
| 2023 | ADMA | Multi-teacher Local Semantic Distillation from Graph Neural Networks. | Haibo Liu, Di Zhang, Liang Wang, Xin Song |
| 2023 | RecSys | Distribution-based Learnable Filters with Side Information for Sequential Recommendation. | Haibo Liu, Zhixiang Deng, Liang Wang, Jinjia Peng, Shi Feng |
| 2021 | ISCAS | An RS (255, 239) Decoder with e-PIBM Algorithm, 25.6Gb/s Throughput and 623 TSNT FoM Value Using Fractional Folding Technique in 40nm Technology. | Wenwen Liu, Gang Wang, Qinghao Lin, Haibo Liu, Jingwei Shi, Min Lin |
| 2020 | ISVC | A Modified Syn2Real Network for Nighttime Rainy Image Restoration. | Qunfang Tang, Jie Yang, Haibo Liu, Zhiqiang Guo |
| 2019 | ICASSP | Cross-culture Multimodal Emotion Recognition with Adversarial Learning. | Jingjun Liang, Shizhe Chen, Jinming Zhao, Qin Jin, Haibo Liu, Li Lu |
| 2018 | VTC | A Secure Transmission Scheme Based on the Twice Channel Estimation for the Pilot Contamination. | Shengbin Lin, Dawei Ma, Jizhong Zhang, Haibo Liu, Rongze Xia, Yue Zhong |
| 2018 | VTC | Security Performance Analysis Based on the Average Rate over Rayleigh Fading Channels. | Shengbin Lin, Rongze Xia, Haibo Liu, Dawei Ma, Jizhong Zhang, Yue Zhong |
| 2017 | ICMLC | An interest propagation based movie recommendation method for social tagging system. | Haibo Liu, Shi Feng, Ge Yu |
| 2016 | ICASSP | Cross-lingual deep neural network based submodular unbiased data selection for low-resource keyword search. | Chongjia Ni, Cheung-Chi Leung, Lei Wang, Haibo Liu, Feng Rao, Li Lu, Nancy F. Chen, Bin Ma, Haizhou Li |
| 2015 | ICASSP | Submodular data selection with acoustic and phonetic features for automatic speech recognition. | Chongjia Ni, Lei Wang, Haibo Liu, Cheung-Chi Leung, Li Lu, Bin Ma |
| 2007 | ICCS | Multi-robot Cooperation Based on Hierarchical Reinforcement Learning. | Xiaobei Cheng, Jing Shen, Haibo Liu, Guochang Gu |
| 2007 | ICCS | Water Mine Model Recognition by Immune Neural Network. | Haibo Liu, Jing Shen, Guochang Gu |