| 2024 | OZCHI | Using Annotated Portfolios to Interrogate Speculative Designs: The Case of Emergent Personal Data Trails. | Stephen Snow, Awais Hameed Khan, Ben Matthews, Inmaculada Rodrguez, Audrey Desjardins, Ayanna Seals, Omar Sosa-Tzec, Anh-Ton Tran, James Pierce, Xiangjun Peng, Stephen Viller |
| 2023 | DSN | EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field. | Xiangjun Peng, Zheng Huang, Alex Cantrell, Bihua Shu, Ke Ke Xie, Yi Li, Yu Li, Li Jiang, Qiang Xu, Ming-Chang Yang |
| 2023 | HCI | FIGCONs: Exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers' Statistics. | Zhuoran Bi, Xiaoxing Ming, Junyu Liu, Xiangjun Peng, Wangkai Jin |
| 2023 | HCI | Characterizing and Optimizing Differentially-Private Techniques for High-Utility, Privacy-Preserving Internet-of-Vehicles. | Yicun Duan, Junyu Liu, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng |
| 2023 | HCI | BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs. | Junyu Liu, Yicun Duan, Zhuoran Bi, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng |
| 2023 | HCI | Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons. | Xiaoxing Ming, Yicun Duan, Junyu Liu, Zhuoran Bi, Haoxuan Sun, Zilin Song, Xiangjun Peng, Wangkai Jin |
| 2023 | HPCA | CHOPPER: A Compiler Infrastructure for Programmable Bit-serial SIMD Processing Using Memory in DRAM. | Xiangjun Peng, Yaohua Wang, Ming-Chang Yang |
| 2023 | SIGMETRICS | SLITS: Sparsity-Lightened Intelligent Thread Scheduling. | Wangkai Jin, Xiangjun Peng |
| 2022 | DAC | SMART: on simultaneously marching racetracks to improve the performance of racetrack-based main memory. | Xiangjun Peng, Ming-Chang Yang, Ho Ming Tsui, Chi Ngai Leung, Wang Kang |
| 2022 | HCI | Omniverse-OpenDS: Enabling Agile Developments for Complex Driving Scenarios via Reconfigurable Abstractions. | Zilin Song, Yicun Duan, Wangkai Jin, Shuchang Huang, Shuolei Wang, Xiangjun Peng |
| 2022 | HCI | Oneiros-OpenDS: An Interactive and Extensible Toolkit for Agile and Automated Developments of Complicated Driving Scenes. | Shuolei Wang, Junyu Liu, Haoxuan Sun, Xiaoxing Ming, Wangkai Jin, Zilin Song, Xiangjun Peng |
| 2022 | HCI | Face2Statistics: User-Friendly, Low-Cost and Effective Alternative to In-vehicle Sensors/Monitors for Drivers. | Zeyu Xiong, Jiahao Wang, Wangkai Jin, Junyu Liu, Yicun Duan, Zilin Song, Xiangjun Peng |
| 2021 | HCI | Demystifying Interactions Between Driving Behaviors and Styles Through Self-clustering Algorithms. | Yu Zhang, Wangkai Jin, Zeyu Xiong, Zhihao Li, Yuyang Liu, Xiangjun Peng |
| 2020 | HCI | Early Findings from a Large-Scale User Study of CHESTNUT: Validations and Implications. | Xiangjun Peng, Zhentao Huang, Chen Yang, Zilin Song, Xu Sun |
| 2020 | HCI | CHESTNUT: Improve Serendipity in Movie Recommendation by an Information Theory-Based Collaborative Filtering Approach. | Xiangjun Peng, Hongzhi Zhang, Xiaosong Zhou, Shuolei Wang, Xu Sun, Qingfeng Wang |
| 2020 | MICRO | FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching. | Yaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo, Saugata Ghose, Minesh Patel, Jeremie S. Kim, Juan Gmez-Luna, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Onur Mutlu |
| 2019 | PDCAT | Succinct Representations in Collaborative Filtering: A Case Study using Wavelet Tree on 1, 000 Cores. | Xiangjun Peng, Qingfeng Wang, Xu Sun, Chunye Gong, Yaohua Wang |