| 2026 | FAST | Getting the MOST out of your Storage Hierarchy with Mirror-Optimized Storage Tiering. | Kaiwei Tu, Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2025 | DAC | GoPTX: Fine-grained GPU Kernel Fusion by PTX-level Instruction Flow Weaving. | Kan Wu, Zejia Lin, Mengyue Xi, Zhongchun Zheng, Wenxuan Pan, Xianwei Zhang, Yutong Lu |
| 2025 | ICML | Scaling Laws for Floating-Point Quantization Training. | Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-zhong Xu, Di Wang, Jie Jiang |
| 2025 | OSDI | FineMem: Breaking the Allocation Overhead vs. Memory Waste Dilemma in Fine-Grained Disaggregated Memory Management. | Xiaoyang Wang, Yongkun Li, Kan Wu, Wenzhe Zhu, Yuqi Li, Yinlong Xu |
| 2025 | USENIX | PageFlex: Flexible and Efficient User-space Delegation of Linux Paging Policies with eBPF. | Anil Yelam, Kan Wu, Zhiyuan Guo, Suli Yang, Rajath Shashidhara, Wei Xu, Stanko Novakovic, Alex C. Snoeren, Kimberly Keeton |
| 2024 | DAC | SMILE: LLC-based Shared Memory Expansion to Improve GPU Thread Level Parallelism. | Tianyu Guo, Xuanteng Huang, Kan Wu, Xianwei Zhang, Nong Xiao |
| 2023 | ICCV | TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. | Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Stephen Chen, Xinggang Wang, Hongyang Chao, Han Hu |
| 2023 | IGARSS | Detection and Digital Representation of Ancient Architecture Damage Based on Laser Point Cloud: Case Study of the Zhengding Ancient City Wall. | Jinyun Wang, Kan Wu, Yibo He, Dawei Zhou, Liang Li, Xinpeng Diao, Jianwen Cai |
| 2023 | KDD | CBLab: Supporting the Training of Large-scale Traffic Control Policies with Scalable Traffic Simulation. | Chumeng Liang, Zherui Huang, Yicheng Liu, Zhanyu Liu, Guanjie Zheng, Hanyuan Shi, Kan Wu, Yuhao Du, Fuliang Li, Zhenhui Jessie Li |
| 2023 | NSDI | Arya: Arbitrary Graph Pattern Mining with Decomposition-based Sampling. | Zeying Zhu, Kan Wu, Zaoxing Liu |
| 2022 | CVPR | MiniViT: Compressing Vision Transformers with Weight Multiplexing. | Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan |
| 2022 | ECCV | TinyViT: Fast Pretraining Distillation for Small Vision Transformers. | Kan Wu, Jinnian Zhang, Houwen Peng, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan |
| 2022 | FAST | NyxCache: Flexible and Efficient Multi-tenant Persistent Memory Caching. | Kan Wu, Kaiwei Tu, Yuvraj Patel, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2021 | CVPR | LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. | Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu |
| 2021 | FAST | The Storage Hierarchy is Not a Hierarchy: Optimizing Caching on Modern Storage Devices with Orthus. | Kan Wu, Zhihan Guo, Guanzhou Hu, Kaiwei Tu, Ramnatthan Alagappan, Rathijit Sen, Kwanghyun Park, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2021 | ICCV | Rethinking and Improving Relative Position Encoding for Vision Transformer. | Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao |
| 2021 | SIGMOD | Releasing Locks As Early As You Can: Reducing Contention of Hotspots by Violating Two-Phase Locking. | Zhihan Guo, Kan Wu, Cong Yan, Xiangyao Yu |
| 2020 | FAST | Read as Needed: Building WiSER, a Flash-Optimized Search Engine. | Jun He, Kan Wu, Sudarsun Kannan, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau |
| 2019 | DaMoN | Exploiting Intel Optane SSD for Microsoft SQL Server. | Kan Wu, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Rathijit Sen, Kwanghyun Park |
| 2019 | KDD | PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. | Hua Wei, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu, Zhenhui Li |
| 2018 | IJCAI | Weakly Learning to Match Experts in Online Community. | Yujie Qian, Jie Tang, Kan Wu |
| 2018 | IJCAI | Where Have You Been? Inferring Career Trajectory from Academic Social Network. | Kan Wu, Jie Tang, Chenhui Zhang |
| 2016 | WSC | Mean queue time approximation for a workstation with cascading. | Kan Wu, Ning Zhao |
| 2015 | WSC | Dependence among tandem queues and the second moment result on the theory of constraints. | Kan Wu, Ning Zhao |
| 2014 | WSC | Approximating the performance of a station subject to changeover setups. | Kan Wu, Zhang Wu, Ning Zhao, Yijun Xu |
| 2008 | WSC | Queueing models for single machine manufacturing systems with interruptions. | Kan Wu, Leon F. McGinnis, Bert Zwart |
| 2006 | WSC | Systems engineering and design of high-tech factories. | Leon F. McGinnis, Edward Huang, Kan Wu |