| 2026 | AAAI | PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination. | Bo Zeng, Zhi Pang, Yuyang Zhang, Kai Zhao, Tian Wu, Geying Yang, Lina Wang, Run Wang |
| 2026 | ACL | Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation. | Linfeng Gao, Qinggang Zhang, Baolong Bi, Bo Zeng, Zheng Yuan, Zerui Chen, Zhimin Wei, Shenghua Liu, Linlong Xu, Longyue Wang, Weihua Luo, Jinsong Su |
| 2026 | ACL | M²PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation. | Hao Wang, Linlong Xu, Heng Liu, Yangyang Liu, Xiaohu Zhao, Bo Zeng, Liangying Shao, Yichen Dong, Xinwei Wu, Jiang Zhou, Tianyu Dong, Xiangxiang Zeng, Longyue Wang, Weihua Luo |
| 2026 | ICS | Parallel Query Processing through Optimal Key Grouping on GPU-Based B+-Trees. | Zhenyi Chen, Jiangbo Li, Jinghan Meng, Napath Pitaksirianan, Yicheng Tu, Bo Zeng, Chen Dong |
| 2026 | WWW | Privacy-Friendly Adaptation of Vision Transformers for Communication and Latency-Efficient Private Inference. | Zhi Pang, Bo Feng, Meng Luo, Chenhao Liu, Shuwang Xu, Kai Zhao, Yadi Wu, Bo Zeng |
| 2025 | ACL | Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models. | Huifeng Yin, Yu Zhao, Minghao Wu, Xuanfan Ni, Bo Zeng, Hao Wang, Tianqi Shi, Liangying Shao, Chenyang Lyu, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2025 | ACL | Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language. | Bo Zeng, Chenyang Lyu, Sinuo Liu, Mingyan Zeng, Minghao Wu, Xuanfan Ni, Tianqi Shi, Yu Zhao, Yefeng Liu, Chenyu Zhu, Ruizhe Li, Jiahui Geng, Qing Li, Yu Tong, Longyue Wang, Weihua Luo, Kaifu Zhang |
| 2024 | AAAI | Chronic Poisoning: Backdoor Attack against Split Learning. | Fangchao Yu, Bo Zeng, Kai Zhao, Zhi Pang, Lina Wang |
| 2024 | CSCWD | FedGR: Genetic Algorithm and Relay Strategy Based Federated Learning. | Yifei Zeng, Kai Zhao, Fangchao Yu, Bo Zeng, Zhi Pang, Lina Wang |
| 2023 | ICANN | Feature Sniffer: A Stealthy Inference Attacks Framework on Split Learning. | Sida Luo, Fangchao Yu, Lina Wang, Bo Zeng, Zhi Pang, Kai Zhao |
| 2023 | ICONIP | PatchFinger: A Model Fingerprinting Scheme Based on Adversarial Patch. | Bo Zeng, Kunhao Lai, Jianpeng Ke, Fangchao Yu, Lina Wang |
| 2022 | IJCNN | Adaptive Spatial-Temporal Fusion Graph Convolutional Networks for Traffic Flow Forecasting. | Senwen Li, Liang Ge, Yongquan Lin, Bo Zeng |
| 2022 | IJCNN | Prior Knowledge and Data-Driven Based Long- and Short-Term Fusion Network for Traffic Forecasting. | Yongquan Lin, Liang Ge, Senwen Li, Bo Zeng |
| 2021 | AAAI | Wasserstein Distributionally Robust Inverse Multiobjective Optimization. | Chaosheng Dong, Bo Zeng |
| 2020 | ICML | Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms. | Chaosheng Dong, Bo Zeng |
| 2020 | IPCO | Sequence Independent Lifting for the Set of Submodular Maximization Problem. | Xueyu Shi, Oleg A. Prokopyev, Bo Zeng |
| 2016 | DEXA | Dynamic Power-Aware Disk Storage Management in Database Servers. | Peyman Behzadnia, Wei Yuan, Bo Zeng, Yi-Cheng Tu, Xiaorui Wang |
| 2013 | AINA | Distributed Spatial Correlation-based Clustering for Approximate Data Collection in WSNs. | Zhidan Liu, Wei Xing, Bo Zeng, Yongchao Wang, Dongming Lu |
| 2007 | IPCO | A Framework to Derive Multidimensional Superadditive Lifting Functions and Its Applications. | Bo Zeng, Jean-Philippe P. Richard |