Characterizing, modeling, and improving the QoE of mobile devices with low battery level. - Kaige Yan; Xingyao Zhang; Xin Fu (MICRO, 2015)

Redefining QoS and customizing the power management policy to satisfy individual mobile users. - Kaige Yan; Xingyao Zhang; Jingweijia Tan; Xin Fu (MICRO, 2016)

Towards Memory Friendly Long-Short Term Memory Networks (LSTMs) on Mobile GPUs. - Xingyao Zhang; Chenhao Xie 001; Jing Wang 055; Weidong Zhang; Xin Fu (MICRO, 2018)

Class Imbalance Data-Generation for Software Defect Prediction. - Zheng Li 002; Xingyao Zhang; Junxia Guo; Ying Shang (APSEC, 2019)

PIM-VR: Erasing Motion Anomalies In Highly-Interactive Virtual Reality World with Customized Memory Cube. - Chenhao Xie 001; Xingyao Zhang; Ang Li 006; Xin Fu; Shuaiwen Song (HPCA, 2019)

Enabling Energy-Efficient and Reliable Neural Network via Neuron-Level Voltage Scaling. - Shubo Liu; Xu Wang; Jing Wang 055; Xin Fu; Xingyao Zhang; Lan Gao; Weigong Zhang; Tao Li 006 (ICPADS, 2019)

A Graph Representation of Semi-structured Data for Web Question Answering. - Xingyao Zhang; Linjun Shou; Jian Pei 001; Ming Gong 001; Lijie Wen 001; Daxin Jiang (COLING, 2020)

Enabling Highly Efficient Capsule Networks Processing Through A PIM-Based Architecture Design. - Xingyao Zhang; Shuaiwen Leon Song; Chenhao Xie 001; Jing Wang 055; Weigong Zhang; Xin Fu (HPCA, 2020)

Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas Glass; Jimeng Sun 001 (WWW, 2020)

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction. - Xingyao Zhang; Cao Xiao; Lucas M. Glass; Jimeng Sun 001 (CoRR, 2020)

Toward Customized Hybrid Fuel-Cell and Battery-powered Mobile Device for Individual Users. - Kaige Yan; Jingweijia Tan; Longjun Liu; Xingyao Zhang; Stanko R. Brankovic; Jinghong Chen; Xin Fu (ACM Trans. Embed. Comput. Syst., 2020)

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 (ISCA, 2021)

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 (MICRO, 2021)

Knowledge Enhanced Fact Checking and Verification. - Biru Zhu; Xingyao Zhang; Ming Gu 001; Yangdong Deng (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Enabling Highly Efficient Capsule Networks Processing Through Software-Hardware Co-Design. - Xingyao Zhang; Xin Fu; Donglin Zhuang; Chenhao Xie 001; Shuaiwen Leon Song (IEEE Trans. Computers, 2021)

Randomness in Neural Network Training: Characterizing the Impact of Tooling. - Donglin Zhuang; Xingyao Zhang; Shuaiwen Song; Sara Hooker (MLSys, 2022)

DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor. - Yiding Liu; Xingyao Zhang; Donglin Zhuang; Xin Fu; Shuaiwen Song (ACM Trans. Archit. Code Optim., 2022)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Daxin Jiang (EMNLP, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Daxin Jiang (EMNLP (Findings), 2023)

A Static Model of a Notched Continuum Robot with Non-Constant Curvature for Minimally Invasive Surgery: Base on Taylor Expansion Approach. - Xingyao Zhang; Gang Zhang; Tichong Zhang; Fuxin Du; Rui Song 002; Yibin Li 001 (ICARM, 2023)

JaxPruner: A concise library for sparsity research. - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan S. Obando-Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Shivani Agrawal; Suvinay Subramanian; et al. (CoRR, 2023)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Jian Pei 001; Daxin Jiang (CoRR, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Jian Pei 001; Daxin Jiang (CoRR, 2023)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (CoRR, 2023)

MedAgents: Large Language Models as Collaborators for Zero-shot Medical Reasoning. - Xiangru Tang; Anni Zou; Zhuosheng Zhang 001; Ziming Li; Yilun Zhao 001; Xingyao Zhang; Arman Cohan; Mark Gerstein (ACL (Findings), 2024)

Jaxpruner: A Concise Library for Sparsity Research. - Joo Hyung Lee; Wonpyo Park; Nicole Mitchell; Jonathan Pilault; Johan Samir Obando Ceron; Han-Byul Kim; Namhoon Lee; Elias Frantar; Yun Long; Amir Yazdanbakhsh; Woohyun Han; Shivani Agrawal; et al. (CPAL, 2024)

Grounding Language Models for Visual Entity Recognition. - Zilin Xiao; Ming Gong 001; Paola Cascante-Bonilla; Xingyao Zhang; Jie Wu; Vicente Ordonez (ECCV (11), 2024)

Step-Back Profiling: Distilling User History for Personalized Scientific Writing. - Xiangru Tang; Xingyao Zhang; Yanjun Shao; Jie Wu; Yilun Zhao 001; Arman Cohan; Ming Gong 001; Dongmei Zhang 001; Mark Gerstein (CoRR, 2024)

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Yanshi Li; Shaopan Xiong; Gengru Chen; Xiaoyang Li; Yijia Luo; Xingyao Zhang; Yanhui Huang; Xingyuan Bu; Yingshui Tan; Chun Yuan; Jiamang Wang; Wenbo Su; et al. (CoRR, 2024)

Continuum Robots: A Real-Time Model-Based Data-Driven Nonlinear Controller. - Gang Zhang; Fuxin Du; Xingyao Zhang; Ke Wu; Gang Zheng 002; Yibin Li 001; Rui Song 002 (IEEE Trans. Ind. Electron., 2024)

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 007 (CoRR, 2025)

Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT Distillation. - Yijia Luo; Yulin Song; Xingyao Zhang; Jiaheng Liu; Weixun Wang; Gengru Chen; Wenbo Su; Bo Zheng 007 (CoRR, 2025)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)