| 2026 | ACL | The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | COLING | MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. | Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | EMNLP | Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. | Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao |
| 2025 | IJCNN | Agent-SwinTF : An Agent-Based 3D Swin Transformer for Multi-Aircraft Trajectory Prediction in Game Scenarios. | Fei Gong, Weiyi Ge, Ke Xie, Zhouwei Lou, Kanjian Zhang, Shuo Shan |
| 2024 | ACL | Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. | Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao |
| 2023 | ACL | Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. | Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao |
| 2023 | SDM | Probabilistic Decomposition Transformer for Time Series Forecasting. | Junlong Tong, Liping Xie, Kanjian Zhang |
| 2016 | EANN | Mutual Information with Parameter Determination Approach for Feature Selection in Multivariate Time Series Prediction. | Tianhong Liu, Haikun Wei, Chi Zhang, Kanjian Zhang |
| 2015 | ISNN | Short-Term Wind Speed Forecasting Using a Multi-model Ensemble. | Chi Zhang, Haikun Wei, Tianhong Liu, Tingting Zhu, Kanjian Zhang |
| 2007 | ISNN | Application of RBF Neural Network to Simplify the Potential Based Optimization. | Kanjian Zhang, Chunbo Feng |