科研成果 by Year: 2024

2024
dos Santos* M C, Jia* T, J. Zuckerman*, M. Cochet*, D. Giri, Loscalzo E, K. Swaminathan, T. Tambe, Zhang J, A. Buyuktosunoglu, et al. A 12nm Linux-SMP-capable RISC-V SoC with 14 accelerator types, distributed hardware power management and flexible NoC-based data orchestration, in IEEE International Solid-State Circuits Conference (ISSCC).; 2024.
李雅瑄, 陈昂轩 贾积有. 2023中国教育技术研究前沿与热点年度报告. 中国电化教育. 2024;2024(3):121-126.PKU 
Y. Liu, Y. Ma, N. Shang, T. Zhao, P. Chen, M. Wu, J. Ru, T. Jia, L. Ye, Z. Wang, et al. A 22nm 0.26nW/synapse spike-driven spiking neural network processing unit using time-step-first dataflow and sparsity-adaptive in-memory computing, in IEEE International Solid-State Circuits Conference (ISSCC).; 2024.
Liu# Y, Ma# Y, Shang N, Zhao T, Chen P, Wu M, Ru J, Jia T, Ye* L, Wang* Z, et al. A 22nm 0.26nW/Synapse Spike-Driven Spiking NeuralNetwork Processing Unit Using Time-Step-First Dataflowand Sparsity-Adaptive In-Memory Computing. IEEE International Solid-State Circuits Conference (ISSCC 2024) [Internet]. 2024. Links
Loscalzo E, Cochet M, Zuckerman J, Zaliasl S, Lekas M, Cahill S, Jia T, Swaminathan K, dos Santos MC, Giri D, et al. A 400-ns-Settling-Time Hybrid Dynamic Voltage Frequency Scaling Architecture and Its Application in a 22-Core Network-on-Chip SoC in 12nm FinFET Technology, in IEEE Symposium on VLSI Technology & Circuits (VLSI).; 2024.
Tian Y, Chen N, Yang X, Zhang R, Xu J, Li C, Yang W, Ren N, Feng Y, He W. Achieved advanced wastewater phosphate removal via improved ionic interference resistance in a migration-electric-field assisted electrocoagulation (MEAEC) system with modified-biochar pseudocapacitor electrode. Separation and Purification Technology. 2024;328:124972.
Jing Y, Wu M, Zhou J, Sun Y, Ma Y, HUANG R, Jia T, Ye L. AIG-CIM: A Scalable Chiplet Module with Tri-Gear Heterogeneous Compute-in-Memory for Diffusion Acceleration, in Design Automation Conference (DAC).; 2024.
Xie J. Algebraic dynamics and recursive inequalities. [Internet]. 2024. pdf
Wang Z, Liang D, Zhao J, Liu C, Shao L. Anatomy of parameter-estimation biases in overlapping gravitational-wave signals. Class. Quant. Grav. 2024;41:055011.
Li W, Kerven C. Between commons and anticommons: a nested common-private interface framework. Humanities and Social Sciences Communications [Internet]. 2024;11:509. 访问链接Abstract
The collapse of the former Soviet Union signaled failure of large-scale experiment in communitarian property. Privatization reform consequently was taken as the start point to transfer the planned economy to a market economy by the post socialist countries. This also occurred in economic transition countries such as China. However, in overcoming the tragedy of the commons privatization might create anticommons problems. Here we develop a nested common-private interface framework from the perspective of resource system and resource units and apply this framework to explain reforms of rangeland property in China and Kyrgyzstan. We confirmed that the root of the dilemma, either caused by commons or anticommons, can be attributed to the interface mismatch between individual elements and common elements. Trying to overcome the dilemma by changing property arrangements alone cannot eliminate the incentive mismatch caused by the common-private interface. Institutions aimed at alleviating the mismatch are accordingly required. Theoretically, this framework converts Ostrom's concept of commons into liberal commons that the members have options to exit, which is becoming increasingly common in the current global context of marketization. In the real world, this framework can serve to understand the property reform progress of transition countries, and may enlighten future property reforms.
Cochet M, Swaminathan K, Loscalzo EJ, Zuckerman J, dos Santos MC, Giri D, Buyuktosunoglu A, Jia T, Brooks D, Wei G-Y, et al. BlitzCoin: Fully Decentralized Hardware Power Management for Accelerator-Rich SoCs, in International Symposium on Computer Architecture (ISCA).; 2024.
Li Jie, Wang Ting* LE. Carbon and hydrogen isotopic evidence for atrazine degradation by electro-activated persulfate: Radical contributions and comparisons with heat-activated persulfate. Environmental Pollution. 2024;341:122892.
Zhang Z, Jia X, Gongbu Z, He D, Li W. Common pool resource governance in strong-government context: A case study of caterpillar fungus (Ophiocordyceps sinensis) on the Qinghai-Tibet Plateau. Environmental Science and Policy [Internet]. 2024;152. 访问链接
Jia, J. WZWTYG. The Comparison of General Tips for Mathematical Problem Solving Generated by Generative AI with those Generated by Human Teachers. Asia Pacific Journal of Education. 2024;44(1):8-28.
Tian Y, Yang X, Chen N, Li C, Yang W. Data-driven interpretable analysis for polysaccharide yield prediction. Environmental Science and Ecotechnology. 2024;19:100321.
Ma Y, Qiu Y, Zhao W, Wu M, Jia T, Ye L, HUANG R. DCIM-GCN: Digital Computing-in-Memory Accelerator for Graph Convolutional Network. IEEE Transactions on Circuits and Systems I: Regular Papers. 2024.
Ma#* Y, Qiu# Y, Zhao W, Li G, Wu M, Jia T, Ye L, HUANG R. DCIM-GCN: Digital Computing-in-Memory Accelerator for Graph Convolutional Network. IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) [Internet]. 2024. Links
Guo F, Qin S, Liu Z, Chen* PR, Fan* X. Decaging-to-labeling: Development and investigation of quinone methide warhead for protein labeling. Bioorganic ChemistryBioorganic Chemistry. 2024;143:107088.Abstract
Biomolecule labeling in living systems is crucial for understanding biological processes and discovering therapeutic targets. A variety of labeling warheads have been developed for multiple biological applications, including proteomics, bioimaging, sequencing, and drug development. Quinone methides (QMs), a class of highly reactive Michael receptors, have recently emerged as prominent warheads for on-demand biomolecule labeling. Their highly flexible functionality and tunability allow for diverse biological applications, but remain poorly explored at present. In this regard, we designed, synthesized, and evaluated a series of new QM probes with a trifluoromethyl group at the benzyl position and substituents on the aromatic ring to manipulate their chemical properties for biomolecule labeling. The engineered QM warhead efficiently labeled proteins both in vitro and under living cell conditions, with significantly enhanced activity compared to previous QM warheads. We further analyzed the labeling efficacy with the assistance of density functional theory (DFT) calculations, which revealed that the QM generation process, rather than the reactivity of QM, contributes more predominantly to the labeling efficacy. Noteworthy, twelve nucleophilic residues on the BSA were labeled by the probe, including Cys, Asp, Glu, His, Lys, Asn, Gln, Arg, Ser, Thr, Trp and Tyr. Given their high efficiency and tunability, these new QM warheads may hold great promise for a broad range of applications, especially spatiotemporal proteomic profiling for in-depth biological studies.
Xie Y*, Yang F*, Huang J, He Y, Zhou Y, Qian Y, Cai W, Zhou J. Declining Chinese Attitudes toward the United States amid COVID-19. Proceedings of the National Academy of Sciences. 2024.
Ye Z, Gao W, Hu Q, Sun P, Wang X, Luo Y, Zhang T, Wen Y. Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. [Internet]. 2024;56:146:1–146:38. 访问链接

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