| 2026 | ACL | RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models. | Tianqianjin Lin, Xi Zhao, Xingyao Zhang, Rujiao Long, Yi Xu, Zhuoren Jiang, Wenbo Su, Bo Zheng |
| 2025 | KDD | ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. | Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng |
| 2024 | ACL | MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. | Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein |
| 2024 | ECCV | Grounding Language Models for Visual Entity Recognition. | Zilin Xiao, Ming Gong, Paola Cascante-Bonilla, Xingyao Zhang, Jie Wu, Vicente Ordonez |
| 2023 | EMNLP | Instructed Language Models with Retrievers Are Powerful Entity Linkers. | Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang |
| 2023 | EMNLP | Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. | Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang |
| 2021 | ISCA | η-LSTM: Co-Designing Highly-Efficient Large LSTM Training via Exploiting Memory-Saving and Architectural Design Opportunities. | Xingyao Zhang, Haojun Xia, Donglin Zhuang, Hao Sun, Xin Fu, Michael B. Taylor, Shuaiwen Leon Song |
| 2021 | MICRO | Shift-BNN: Highly-Efficient Probabilistic Bayesian Neural Network Training via Memory-Friendly Pattern Retrieving. | Qiyu Wan, Haojun Xia, Xingyao Zhang, Lening Wang, Shuaiwen Leon Song, Xin Fu |
| 2020 | COLING | A Graph Representation of Semi-structured Data for Web Question Answering. | Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang |
| 2020 | HPCA | Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. | Xingyao Zhang, Shuaiwen Leon Song, Chenhao Xie, Jing Wang, Weigong Zhang, Xin Fu |
| 2020 | WWW | Patient-Trial Matching with Deep Embedding and Entailment Prediction. | Xingyao Zhang, Cao Xiao, Lucas Glass, Jimeng Sun |
| 2019 | APSEC | Class Imbalance Data-Generation for Software Defect Prediction. | Zheng Li, Xingyao Zhang, Junxia Guo, Ying Shang |
| 2019 | HPCA | PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube. | Chenhao Xie, Xingyao Zhang, Ang Li, Xin Fu, Shuaiwen Song |
| 2019 | ICPADS | Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling. | Shubo Liu, Xu Wang, Jing Wang, Xin Fu, Xingyao Zhang, Lan Gao, Weigong Zhang, Tao Li |
| 2018 | MICRO | Towards Memory Friendly Long-Short Term Memory Networks (LSTMs) on Mobile GPUs. | Xingyao Zhang, Chenhao Xie, Jing Wang, Weidong Zhang, Xin Fu |
| 2016 | MICRO | Redefining QoS and customizing the power management policy to satisfy individual mobile users. | Kaige Yan, Xingyao Zhang, Jingweijia Tan, Xin Fu |
| 2015 | MICRO | Characterizing, modeling, and improving the QoE of mobile devices with low battery level. | Kaige Yan, Xingyao Zhang, Xin Fu |