| 2026 | ACL | Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience. | Zhixiao Qi, Feng Huang, Yunqi Zhang, Shijie Zhang, Qingqing Sun, Yongfeng Huang, Minghu Jiang, Shuai Chen, Tianyi Zhang |
| 2025 | EMNLP | Two Challenges, One Solution: Robust Multimodal Learning through Dynamic Modality Recognition and Enhancement. | Lanxin Bi, Yunqi Zhang, Luyi Wang, Yake Niu, Hui Zhao |
| 2025 | FC | Constellation: Peer-to-Peer Overlays for Federated Byzantine Agreement Systems. | Giuliano Losa, Yifan Mao, Shaileshh Bojja Venkatakrishnan, Yunqi Zhang |
| 2025 | MOBIHOC | Honeybee: Byzantine Tolerant Decentralized Peer Sampling with Verifiable Random Walks. | Yunqi Zhang, Shaileshh Bojja Venkatakrishnan |
| 2024 | ACL | Better Late Than Never: Model-Agnostic Hallucination Post-Processing Framework Towards Clinical Text Summarization. | Songda Li, Yunqi Zhang, Chunyuan Deng, Yake Niu, Hui Zhao |
| 2024 | COLING | KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding. | Yunqi Zhang, Yubo Chen, Jingzhe Zhu, Jinyu Xu, Shuai Yang, Zhaoliang Wu, Liang Huang, Yongfeng Huang, Shuai Chen |
| 2024 | ICASSP | RSED: Zero-Shot Relation Triplet Extraction via Relation Selection and Entity Boundary Detection. | Yuquan Lan, Dongxu Li, Yunqi Zhang, Hui Zhao, Gang Zhao |
| 2024 | NAACL | Think Before You Act: A Two-Stage Framework for Mitigating Gender Bias Towards Vision-Language Tasks. | Yunqi Zhang, Songda Li, Chunyuan Deng, Luyi Wang, Hui Zhao |
| 2024 | OSDI | ServiceLab: Preventing Tiny Performance Regressions at Hyperscale through Pre-Production Testing. | Mike Chow, Yang Wang, William Wang, Ayichew Hailu, Rohan Bopardikar, Bin Zhang, Jialiang Qu, David Meisner, Santosh Sonawane, Yunqi Zhang, Rodrigo Paim, Mack Ward, Ivor Huang, Matt McNally, Daniel Hodges, Zoltan Farkas, Caner Gocmen, Elvis Huang, Chunqiang Tang |
| 2023 | DASFAA | TrajTrace: Tracing Moving Objects over Social Media. | Zhihao Yang, Yunqi Zhang, Songda Li, Qinhui Chen, Hui Zhao, Wei Cai, Xi Lin |
| 2023 | FC | Kadabra: Adapting Kademlia for the Decentralized Web. | Yunqi Zhang, Shaileshh Bojja Venkatakrishnan |
| 2023 | ICDCS | Rethinking Incentive in Payment Channel Networks. | Yunqi Zhang, Shaileshh Bojja Venkatakrishnan |
| 2023 | IJCNN | Modeling Zero-Shot Relation Classification as a Multiple-Choice Problem. | Yuquan Lan, Dongxu Li, Yunqi Zhang, Hui Zhao, Gang Zhao |
| 2023 | IJCNN | From Implicit to Explicit: A Simple Generative Method for Aspect-Category-Opinion-Sentiment Quadruple Extraction. | Songda Li, Yunqi Zhang, Yuquan Lan, Hui Zhao, Gang Zhao |
| 2023 | IJCNN | Dual-Encoder Attention Fusion Model for Aspect Sentiment Triplet Extraction. | Yunqi Zhang, Songda Li, Yuquan Lan, Hui Zhao, Gang Zhao |
| 2023 | SIGIR | Simple Approach for Aspect Sentiment Triplet Extraction Using Span-Based Segment Tagging and Dual Extractors. | Dongxu Li, Zhihao Yang, Yuquan Lan, Yunqi Zhang, Hui Zhao, Gang Zhao |
| 2022 | ACL | Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph. | Yubo Chen, Yunqi Zhang, Yongfeng Huang |
| 2022 | EMNLP | RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction. | Yunqi Zhang, Yubo Chen, Yongfeng Huang |
| 2021 | COMPSAC | Does Our Collective Stringency Control the Virus? Investigating Lockdown Effectiveness on Community Mobility Data. | Kangcheng Li, Jiangtao Wang, Zhicen Liu, Yunqi Zhang, Zihao Xie |
| 2021 | NAACL | Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. | Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang |
| 2018 | ASPLOS | The Architectural Implications of Autonomous Driving: Constraints and Acceleration. | Shih-Chieh Lin, Yunqi Zhang, Chang-Hong Hsu, Matt Skach, Md. Enamul Haque, Lingjia Tang, Jason Mars |
| 2018 | NAACL | Data Collection for Dialogue System: A Startup Perspective. | Yiping Kang, Yunqi Zhang, Jonathan K. Kummerfeld, Lingjia Tang, Jason Mars |
| 2018 | UIST | Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features. | Shih-Chieh Lin, Chang-Hong Hsu, Walter Talamonti, Yunqi Zhang, Steve Oney, Jason Mars, Lingjia Tang |
| 2016 | ISCA | PowerChop: Identifying and Managing Non-critical Units in Hybrid Processor Architectures. | Michael A. Laurenzano, Yunqi Zhang, Jiang Chen, Lingjia Tang, Jason Mars |
| 2016 | ISCA | Treadmill: Attributing the Source of Tail Latency through Precise Load Testing and Statistical Inference. | Yunqi Zhang, David Meisner, Jason Mars, Lingjia Tang |
| 2016 | OSDI | History-Based Harvesting of Spare Cycles and Storage in Large-Scale Datacenters. | Yunqi Zhang, George Prekas, Giovanni Matteo Fumarola, Marcus Fontoura, Iigo Goiri, Ricardo Bianchini |
| 2015 | ASPLOS | Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. | Johann Hauswald, Michael A. Laurenzano, Yunqi Zhang, Cheng Li, Austin Rovinski, Arjun Khurana, Ronald G. Dreslinski, Trevor N. Mudge, Vinicius Petrucci, Lingjia Tang, Jason Mars |
| 2015 | HPCA | Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting. | Chang-Hong Hsu, Yunqi Zhang, Michael A. Laurenzano, David Meisner, Thomas F. Wenisch, Jason Mars, Lingjia Tang, Ronald G. Dreslinski |
| 2015 | HPCA | Octopus-Man: QoS-driven task management for heterogeneous multicores in warehouse-scale computers. | Vinicius Petrucci, Michael A. Laurenzano, John Doherty, Yunqi Zhang, Daniel Moss, Jason Mars, Lingjia Tang |
| 2014 | MICRO | Protean Code: Achieving Near-Free Online Code Transformations for Warehouse Scale Computers. | Michael A. Laurenzano, Yunqi Zhang, Lingjia Tang, Jason Mars |
| 2014 | MICRO | SMiTe: Precise QoS Prediction on Real-System SMT Processors to Improve Utilization in Warehouse Scale Computers. | Yunqi Zhang, Michael A. Laurenzano, Jason Mars, Lingjia Tang |