| 2026 | ACL | Act-Adaptive Margin: Dynamically Calibrating Reward Models for Subjective Ambiguity. | Feiteng Fang, Dingwei Chen, Xiang Huang, Ting-En Lin, Yuchuan Wu, Xiong Liu, Jing Ye, Ziqiang Liu, Haonan Zhang, Liang Zhu, Hamid Alinejad-Rokny, Min Yang, Yongbin Li |
| 2025 | EuroSys | SpaceFusion: Advanced Deep Learning Operator Fusion via Space-Mapping Graph. | Liang Zhu, Jianguo Yao, Haibing Guan |
| 2025 | IJCNN | Instance-Specific Learning for Skeleton-Based Action Recognition with Varying Data Quality. | Liang Zhu, Huaijun Qiu, Zhuo Yan, Cuiwei Liu |
| 2025 | NAACL | MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation. | Junqing He, Liang Zhu, Rui Wang, Xi Wang, Gholamreza Haffari, Jiaxing Zhang |
| 2025 | SMC | CFANet: A Cross-Feature Attention Network for Enhanced EEG Motor Imagery Decoding. | Liang Zhu, Weina Zhu |
| 2024 | CGO | PresCount: Effective Register Allocation for Bank Conflict Reduction. | Xiaofeng Guan, Hao Zhou, Guoqing Bao, Handong Li, Liang Zhu, Jianguo Yao |
| 2024 | CIKM | DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model. | Nan Xie, Yuelin Bai, Hengyuan Gao, Ziqiang Xue, Feiteng Fang, Qixuan Zhao, Zhijian Li, Liang Zhu, Shiwen Ni, Min Yang |
| 2024 | COLING | CLHA: A Simple Yet Effective Contrastive Learning Framework for Human Alignment. | Feiteng Fang, Liang Zhu, Xi Feng, Jinchang Hou, Qixuan Zhao, Chengming Li, Xiping Hu, Ruifeng Xu, Min Yang |
| 2024 | EMNLP | DEFT: Distribution-guided Efficient Fine-Tuning for Human Alignment. | Liang Zhu, Feiteng Fang, Yuelin Bai, Longze Chen, Zhexiang Zhang, Minghuan Tan, Min Yang |
| 2024 | IJCNN | Local-Fusion Attention and Semantic-Augmentation Attention for Named Entity Recognition. | Zhouyang Liu, Liang Zhu, Xin Song, Huiting Yuan |
| 2024 | MMM | A Lightweight Local Attention Network for Image Super-Resolution. | Feng Chen, Xin Song, Liang Zhu |
| 2023 | APWEB | Entity Resolution Based on Pre-trained Language Models with Two Attentions. | Liang Zhu, Hao Liu, Xin Song, Yonggang Wei, Yu Wang |
| 2023 | ICANN | A Spatial Interpolation Method Based on Meta-learning with Spatial Weighted Neural Networks. | Liang Zhu, Shijie Jiao, Xin Song, Yonggang Wei, Yu Wang |
| 2023 | KDD | What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. | Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang |
| 2023 | PRICAI | A Spatial Interpolation Method Based on BP Neural Network with Bellman Equation. | Liang Zhu, Haiyang Wei, Xin Song, Yonggang Wei, Yu Wang |
| 2023 | WISE | Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index. | Liang Zhu, Shilan Zhang, Xin Song, Qin Ma, Weiyi Meng |
| 2022 | KSEM | A Spatial Interpolation Using Clustering Adaptive Inverse Distance Weighting Algorithm with Linear Regression. | Liang Zhu, Gengchen Hou, Xin Song, Yonggang Wei, Yu Wang |
| 2021 | CIKM | Self-supervised Representation Learning on Dynamic Graphs. | Sheng Tian, Ruofan Wu, Leilei Shi, Liang Zhu, Tao Xiong |
| 2021 | KSEM | Integrating Real-Time Entity Resolution with Top-N Join Query Processing. | Liang Zhu, Xinfeng Li, Yonggang Wei, Qin Ma, Weiyi Meng |
| 2020 | HPCA | BBS: Micro-Architecture Benchmarking Blockchain Systems through Machine Learning and Fuzzy Set. | Liang Zhu, Chao Chen, Zihao Su, Weiguang Chen, Tao Li, Zhibin Yu |
| 2019 | AAAI | Cooperative Multimodal Approach to Depression Detection in Twitter. | Tao Gui, Liang Zhu, Qi Zhang, Minlong Peng, Xu Zhou, Keyu Ding, Zhigang Chen |
| 2019 | SIGIR | Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning. | Tao Gui, Peng Liu, Qi Zhang, Liang Zhu, Minlong Peng, Yunhua Zhou, Xuanjing Huang |
| 2018 | IMC | LDplayer: DNS Experimentation at Scale. | Liang Zhu, John S. Heidemann |
| 2017 | INFOCOM | A preference-aware trajectory privacy-preserving scheme in location-based social networks. | Liang Zhu, Changqiao Xu, Jianfeng Guan, Yang Liu, Hongke Zhang |
| 2017 | SIGCOMM | LDplayer: DNS Experimentation at Scale. | Liang Zhu, John S. Heidemann |
| 2016 | PAM | Measuring the Latency and Pervasiveness of TLS Certificate Revocation. | Liang Zhu, Johanna Amann, John S. Heidemann |
| 2016 | TrustCom | A Tool to Detect Performance Problems of Multi-threaded Programs on NUMA Systems. | Liang Zhu, Hai Jin, Xiaofei Liao |
| 2015 | ICA3PP | A Data-Centric Tool to Improve the Performance of Multithreaded Program on NUMA. | Dan Zeng, Liang Zhu, Xiaofei Liao, Hai Jin |
| 2015 | SP | Connection-Oriented DNS to Improve Privacy and Security. | Liang Zhu, Zi Hu, John S. Heidemann, Duane Wessels, Allison Mankin, Nikita Somaiya |
| 2014 | PAM | The Need for End-to-End Evaluation of Cloud Availability. | Zi Hu, Liang Zhu, Calvin Ardi, Ethan Katz-Bassett, Harsha V. Madhyastha, John S. Heidemann, Minlan Yu |
| 2014 | SIGCOMM | T-DNS: connection-oriented DNS to improve privacy and security (poster abstract). | Liang Zhu, Zi Hu, John S. Heidemann, Duane Wessels, Allison Mankin, Nikita Somaiya |
| 2013 | CIKM | Merged aggregate nearest neighbor query processing in road networks. | Weiwei Sun, Chong Chen, Baihua Zheng, Chunan Chen, Liang Zhu, Weimo Liu, Yan Huang |
| 2012 | PPoPP | Function flow: making synchronization easier in task parallelism. | Xuepeng Fan, Hai Jin, Liang Zhu, Xiaofei Liao, Chencheng Ye, Xuping Tu |
| 2006 | CSCWD | AGOM: A Novel Method of Embedded System Communication Architecture Design in System Level Design. | Yawen Niu, Jinian Bian, Haili Wang, Kun Tong, Liang Zhu |
| 2004 | SMC | Real-time agent-based decision support system to facilitate effective organizational adaptation. | Candra Meirina, Sui Ruan, Feili Yu, Liang Zhu, Krishna R. Pattipati, David L. Kleinman |