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Cheng Tan, Yibo Zhu, and Chuanxiong Guo Apsys 2021, August 2021. PreCrime to the Rescue: Defeating Mobile Malware One Step Ahead Cheng Tan, Haibo Li, Yubin Xia, Binyu Zang, Cheng-Kang Chu, and Tieyan Li. Apsys 2014, Beijing, China, June 2014. TinyChecker: Transparent Protection Of VMs Against Hypervisor Failures With Nested Virtualization
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Publications. 2024. FHE-CGRA: Enable Efficient Acceleration...
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Cheng Tan, Manupa Karunaratne, Tulika Mitra, Li-Shiuan Peh....
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Cheng Tan, Manupa Karunaratne, Tulika Mitra, Li-Shiuan Peh. 45th ACM/IEEE International Symposium on Computer Architecture, June 2018. [CASES] LOCUS: Low-Power Customizable Many-Core Architecture for Wearables. Cheng Tan, Aditi Kulkarni, Vanchinathan Venkataramani, Manupa Karunaratne, Tulika Mitra, Li-Shiuan Peh. ACM International Conference on ...
- Bellevue, WA
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer. Cheng Tan‡, Zhangyang Gao ‡, Lirong Wu, Jun Xia, Jiangbin Zheng, Xihong Yang, Yue Liu, Bozhen Hu, Stan Z. Li. AAAI, 2024. Paper Code. OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning.
Q Zhang, Q Qi, C Tan, WS Wong. Journal of the Franklin Institute 359 (13), 6829-6855. , 2022. 6. 2022. On Stability Condition of Wireless Networked Control Systems under Joint Design of Control Policy and Network Scheduling Policy. L Deng, C Tan, WS Wong. 2018 IEEE Conference on Decision and Control (CDC), 2041-2047.
Publications. 2024. FHE-CGRA: Enable Efficient Acceleration of Fully Homomorphic Encryption on CGRAs. Miaomiao Jiang, Yilan Zhu, Honghui You, Cheng Tan, Zhaoying Li, Jiming Xu, Lei Ju. 61st ACM/IEEE Design Automation Conference ( DAC ), June 2024. SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications.
- Mountain View, CA
Nov 22, 2022 · View a PDF of the paper titled SimVP: Towards Simple yet Powerful Spatiotemporal Predictive Learning, by Cheng Tan and 3 other authors View PDF Abstract: Recent years have witnessed remarkable advances in spatiotemporal predictive learning, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated training strategies.
Cheng Tan, and Shoji Takada. Journal of Chemical Theory and Computation 14, 7 (2018): 3877-3889. DNA sliding in nucleosomes via twist defect propagation revealed by molecular simulations. Giovanni B. Brandani, Toru Niina, Cheng Tan, and Shoji Takada. Nucleic Acids Research 46, 6 (2018): 2788-2801.
