清华大学赵蓉--中文主页--发表论文

2024

5.Zeng, H., & Zhao, R. (2023). Perceptually-guided Dual-mode Virtual Reality System For Motion-adaptive Display. IEEE Transactions on Visualization and Computer Graphics, 29(5), 2249-2257.

4.Li, L., Shi, L., & Zhao, R. (2023, May). A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence. In International Conference on Artificial General Intelligence (pp. 197-206). Cham: Springer Nature Switzerland.

3.Li, H., Xu, M., Pei, J., & Zhao, R. (2023, August). Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. In Proceedings of the 2023 International Conference on Neuromorphic Systems (pp. 1-8).

2.Zheng, H., Lin, H., & Zhao, R. GUST: combinatorial generalization by unsupervised grouping with neuronal coherence. Advances in Neural Information Processing Systems, 36.

1.Li, H., Ma, S., Wang, T., Zhang, W., Wang, G., Song, C., ... & Zhao, R. (2023). HASP: Hierarchical asynchronous parallelism for multi-NN tasks. IEEE Transactions on Computers.

2023

5.Zeng, H., & Zhao, R. (2023). Perceptually-guided Dual-mode Virtual Reality System For Motion-adaptive Display. IEEE Transactions on Visualization and Computer Graphics, 29(5), 2249-2257.

4.Li, L., Shi, L., & Zhao, R. (2023, May). A Vertical-Horizontal Integrated Neuro-Symbolic Framework Towards Artificial General Intelligence. In International Conference on Artificial General Intelligence (pp. 197-206). Cham: Springer Nature Switzerland.

3.Li, H., Xu, M., Pei, J., & Zhao, R. (2023, August). Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. In Proceedings of the 2023 International Conference on Neuromorphic Systems (pp. 1-8).

2.Zheng, H., Lin, H., & Zhao, R. GUST: combinatorial generalization by unsupervised grouping with neuronal coherence. Advances in Neural Information Processing Systems, 36.

1.Li, H., Ma, S., Wang, T., Zhang, W., Wang, G., Song, C., ... & Zhao, R. (2023). HASP: Hierarchical asynchronous parallelism for multi-NN tasks. IEEE Transactions on Computers.

2022

6.Liu, F., & Zhao, R. (2022). Enhancing spiking neural networks with hybrid top-down attention. Frontiers in Neuroscience, 16, 949142.

5.Liu, F., & Zhao, R. (2022, September). Towards both accurate and robust neural networks without extra data. In International Conference on Artificial Neural Networks (pp. 379-390). Cham: Springer International Publishing.

4.X.L. Ji, S. Hao, K.G. Lim, S. Zhong, R. Zhao*, “Artificial Working Memory Constructed by Planar 2D Channel Memristors Enabling Brain‐Inspired Hierarchical Memory Systems”, Advanced Intelligent Systems, 4, 3, 2100119 (2022)

3.S. Zhong, Y.S. Zhang, H. Zheng, F.W. Yu, R. Zhao*, “Spike‐Based Spatiotemporal Processing Enabled by Oscillation Neuron for Energy‐Efficient Artificial Sensory Systems”, Advanced Intelligent Systems, May (2022)

2.Y.J. Wu+, R. Zhao+, J. Zhu+, F. Chen+, M.K. Xu+, G.Q. Li, S. Song, L. Deng, G.R. Wang, H. Zheng, S.C. Ma, J. Pei, Y.H. Zhang, M.G. Zhao, L.P. Shi*, “Brain-inspired global-local learning incorporated with neuromorphic computing”, Nature Communications, 13, 65 (2022)

1.H. Zeng, G.X. Liu, R. Zhao*, “SIM reconstruction framework for high-speed multi-dimensional super-resolution imaging”, Optics Express, 30, 7, 10877-10898 (2022)

2.S.C. Ma+, J. Pei+, W.H. Zhang+, G.R. Wang+, D.H. Feng+, F.W. Yu, C.H. Song, Huanyu Qu, Cheng Ma, M.S. Lu, F.Q. Liu, W.H. Zhou, Y.J. Wu, Y.H. Lin, H.Y. Li, T.Y. Wang, J.R. Song, X. Liu, G.Q. Li, R. Zhao, L.P. Shi*, “Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots”, Science Robotics, 7 (67), eabk2948 (2022)

1.R. Zhao+, Z.Y. Yang+, H. Zheng+, Y.J. Wu+, F.Q. Liu+, Z.Z. Wu, L.K. Li, F. Chen, S. Song, J. Zhu, W.L. Zhang, H.Y. Huang, M.K. Xu, K.F. Sheng, Q.B. Yin, J. Pei, G.Q. Li, Y.H. Zhang, M.G. Zhao, L.P. Shi*, “A framework for the general design and computation of hybrid neural networks”, Nature Communications, 13, 3427 (2022)

2021

6.D.H. Lim, S. Wu, R. Zhao, J.H. Lee, H.S. Jeong, L.P. Shi*, “Spontaneous Sparse Learning for PCM-based Memristor Neural Networks”, Nature Communications, 12 (1), 1-14, (2021)

5.F.Q. Liu, M.K. Xu, G.Q. Li, J. Pei, L.P. Shi, R. Zhao*, “Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks”, Neural Networks,133, 148-156, (2021)

4.S. Hao, X.L. Ji, F.Q. Liu, S. Zhong, K.Y. Pang, K.G. Lim, T.C. Chong, R. Zhao*, “Monolayer MoS2/WO3 Heterostructures with Sulfur Anion Reservoirs as Electronic Synapses for Neuromorphic Computing”, ACS Applied Nano Materials 4 (2), 1766-1775 (2021)

3.Z.Y. Yan, Z. Zhang, W.K. Wu, X.L. Ji, S. Sun, Y. Jiang, C.C. Tan, L. Yang, C.T. Chong, C.W. Qiu*, R. Zhao*, “Floating solid-state thin films with dynamic structural colour”, Nature Nanotechnology, 16, 795-801 (2021)

2.W.L. Zhang, Y.Y. Wang, X.L. Ji, Y.J. Wu, R. Zhao*, “ROA: A Rapid Learning Scheme for In-Situ Memristor Networks”, Frontiers in Artificial Intelligence, 144, (2021) (15 October 2021)

1.S. Hao, S. Zhong, X.L. Ji, K.Y. Pang, N. Wang, H.M. Li, Y. Jiang, K.G. Lim, T.C. Chong, R. Zhao*, D. Loke*, “Activating Silent Synapses in Sulfurized Indium Selenide for Neuromorphic Computing”, ACS Applied Materials & Interfaces 13, 50, 60209-60215 (2021)

2020

7.X.L. Ji, X.Y. Zhao, M.C. Tan and R. Zhao*, “Artificial Perception Built on Memristive System: Visual, Auditory and Tactile Sensations”, Advanced Intelligent Systems, 1900118, 2020, https://doi.org/10.1002/aisy.201900118, (review paper)

6.X.L. Ji, H. Song, K.Y. Pang, K.G. Lim, R. Zhao*, “A vacuum gap selector with ultra-low leakage for large-scale neuromorphic network”, IEEE Electron Device Letters, 41, 3, 505, 2020

5.S. Hao, X.L. Ji, S. Zhong, K.Y. Pang, K.G. Lim, T.C. Chong, and R. Zhao*, “A Monolayer Leaky Integrate-and-Fire Neuron for Two-Dimensional Memristive Neuromorphic Networks”, Advanced Electronics Materials

4.Z.Y. Yan, E.T. Poh, Z. Zhang, S.T. Chua, X.Y. Wang, X. Wu, Z.H. Chen, Q.H. Xu, K.E. Goh, R. Zhao*, C.H. Sow*, “Band Nesting Bypass in WS2 Monolayers via Förster Resonance Energy Transfer”, ACS Nano (2020)

3.L. Tian, Y. Wang, L.P. Shi, R. Zhao*, “High Robustness Memristor Neural State Machines”, ACS Applied Electronic Materials, 2, 11, 3633–3642 (2020)

2.S. Zhong, X.L. Ji, S. Hao, F.Q. Liu, R. Zhao*, “A biodegradable artificial synapse implemented by foundry-compatible materials”, Applied Physics Letters, 117 (19), 192105 (2020) (IF: 3.6)

1.Y.H. Zhang, P. Qu, Y. Ji, W.H. Zhang, G. Gao, G.R. Wang, S. Song, G.Q. Li, W.G. Chen, W.M. Zheng, F. Chen, J. Pei, R. Zhao, M.G. Zhao and L.P. Shi*. “A system hierarchy for brain-inspired computing”, Nature, 586, 378-384 (2020).

1.S. Zhong, H.C. Wong, H.Y. Low, R. Zhao*, “Phototriggerable Transient Electronics via Fullerene-mediated degradation of Polymer:Fullerene Encapsulation Layer”, ACS Applied Materials & Interfaces, 13 (1), 904-911 (2020)

2019

6.X.Y. Zhao, L. Song, R. Zhao*, and M.C. Tan*, “High-Performance and Flexible Shortwave Infrared Photodetectors Using Composites of Rare Earth Doped Nanoparticles", ACS Applied Materials & Interfaces, 11, 2, 2344, 2019 (IF: 8.097) 10.1021/acsami.8b16978

5.L.F. Sun, Y.S. Zhang, G. Han, G. Hwang, J.B. Jiang, B. Joo, K. Watanabe, T. Taniguchi, R. Zhao*, and H.J. Yan*, “Self-selective van der Waals heterostructure for terabit-scale memory integration”, Nature Communications, 10, Article number: 3161 (2019) (IF: 12.353)

4.S. Zhong, X.L. Ji, and R. Zhao*, “CMOS Compatible Transient Resistive Memory with Prolonged Lifetime”, Advanced Materials Technologies, 1900217, 2019 (IF: 4.787)

3.J. Pei+, L. Deng+, S. Song+, M.G. Zhao+, Y.H. Zhang+, S. Wu+, G.R. Wang+, Z. Zou, Z.Z. Wu, W. He, S. Wu, F. Chen, N. Deng, Y. Wang, Y.J. Wu, Z.Y. Yang, C. Ma, G.Q. Li, W.T. Han, H.L. Li, H.Q. Wu, R. Zhao, Y. Xie, and L.P. Shi*, “Towards Artificial General Intelligence with the Hybrid Tianjic Chip Architecture”, Nature, 572, 106–111 (2019) (IF: 40.1)

2.X.L. Ji, C. Wang, K.G. Lim, C.C. Tan, T.C. Chong, and R. Zhao*, “Tunable Resistive Switching Enabled by Malleable Redox Reaction in Nano-Vacuum Gap”, ACS Applied Materials & Interfaces, 11, 23, 20965-20972, 2019 (IF: 8.097)

1.X.L. Ji, K.Y. Pang and R. Zhao*, “Decoding the metallic bridging dynamics in nanogap atomic switches”, Nanoscale, 11, 46, 22446, 2019 (IF: 6.97)

2018

6.X.L. Ji, L. Song, S. Zhong, Y. Yang, K.G. Lim, C. Wang and R. Zhao*, "Biodegradable and flexible resistive memory for transient electronics”. The Journal of Physical Chemistry C, 122, 29, 16909, 2018 (IF: 4.484)

5.X.L. Ji, L. Song, W. He, K.J. Huang, Z.Y. Yan, S. Zhong, Y.S. Zhang and R. Zhao*, "Super Nonlinear Electrodeposition-diffusion-controlled Thin Film Selector". ACS Applied Materials & Interfaces, 10, 12, 10165-10172, 2018 (IF: 8.097)

4.L.F. Sun, Y.S. Zhang, G. Hwang, J.B. Jiang, D. Kim, Y.A. Eshete, R. Zhao*, and H.J. Yang*, “Synaptic Computation Enabled by Joule Heating of Single-layered Semiconductors for Sound Localization”, Nano Letters, 18, 5, 3229, 10.1021/acs.nanolett.8b00994, 2018 (IF: 12.08)

3.S. Zhong, X.L. Ji, L. Song, Y.S. Zhang, R. Zhao*, “Enabling Transient Electronics with Degradation on Demand via Light-Responsive Encapsulation of Hydrogel/Oxide Bi-layer”, ACS Applied Materials & Interfaces, 10, 42, 36171, Oct. 2018

2.Y.S. Zhang, S. Zhong, L. Song, X.L. Ji, and R. Zhao*, “Emulating Dynamic Synaptic Plasticity over Broad Timescales with Memristive Device”, Applied Physics Letters, 113, 203102, 2018

1.Y.S. Zhang, W. He, Y.J. Wu, K.J. Huang, Y.S. Shen, J.S. Su, Y.Y. Wang, Z.Y. Zhang, X.L. Ji, G.Q. Li, H.T. Zhang, S. Song, H.L. Li, L.T. Sun, R. Zhao* and L.P. Shi, “Highly Compact Artificial Memristive Neuron with Ultralow Energy Efficiency”, Small, 14, 51, 2018

2017

2.H. Wei, H.X. Yang, L. Song, K.J. Huang and R. Zhao*, “A Novel Scheme Enabled Universal Selector for High Density Non-volatile Memory”, IEEE Electron Device Letters, 38, 2, 172 (2017)

1.C.H. Wang, W. He, Y. Tong, Y.S. Zhang, K.J. Huang, S. Zhong, L. Song, R. Ganeshkumar and R. Zhao*, “Memristive Devices with Highly Repeatable Analog States Boosted by Graphene Quantum Dots”, Small, 13, 20, 1603435, 2017

3.R. Ganeshkumar, Xu R, Chin W C, R. Zhao*, Kim S-G.*, “A High Output Voltage Flexible Piezoelectric Nanogenerator Using Porous Lead-Free KNbO3 Nanofibers”, Applied Physics Letters 2017, Vol 111, Page 013905

2.R. Ganeshkumar, Suhas S, Chin W C, R. Zhao*, Jesse S, Kalinin S.*, “Decoding apparent ferroelectricity in perovskite nanofibers”, ACS Applied Materials and Interface 2017, Vol 9 (48), pages 42131-38.

1.K. Cai, K.A.S. Immink, M. Zhang, R. Zhao*, “On the Design of Spectrum Shaping Codes for High-Density Data Storage”, IEEE Transactions on Consumer Electronics, Vol 63, Issue 4, pages 477-482, 2017.

2016

5.Y. Tong, X.Y. Zhao, M.C. Tan and R. Zhao*, “Cost-Effective and Highly Photoresponsive Nanophosphor-P3HT Photoconductive Nanocomposite for Near-Infrared Detection”, Scientific Reports, 5, 16761 (2016)

4.K.J. Huang and R. Zhao*, and Y. Lian, “Racetrack Memory Based Non-volatile Storage Element for Multi-context FPGAs”, IEEE Transactions on Very Large Scale Integration Systems, 24, 5, pp1885-1894 (2016)

3.K.J. Huang and R. Zhao*, “Magnetic Domain-Wall Racetrack Memory-Based Nonvolatile Logic for Low-Power Computing and Fast Run-Time-Reconfiguration”, IEEE Transactions on Very Large Scale Integration Systems, 24, 9, 2861 (2016)

2.C.H. Wang, W. He, Y. Tong, and R. Zhao*, “Investigation and Manipulation of Different Analog Behaviors of Memristor as Electronic Synapse for Neuromorphic Applications”, Scientific Reports, 6, 22970 (2016)

1.R. Ganeshkumar, C.W. Cheah, K.V. Sopiha, P. Wu, and R. Zhao*, “Ferroelectric KNbO3 nanofibers: Synthesis, characterization and itsapplication as humidity nanosensor”, Nanotechnology, 27, 39, 395607 (2016) (Cover Page)

2015

5.C.C. Tan, R. Zhao*, L.P. Shi, and T.C. Chong, “Implementation of nitrogen-doped titanium-tungsten tunable heater in phase change random access memory and its effects on device performance”, Applied Physics Letters, Vol. 105,153501, (2014)

4.K.J. Huang, R. Zhao, W. He, and Y. Lian, “High-Density and High Reliability Nonvolatile Field-Programmable Gate Array with Stacked 1D2R RRAM Array”, IEEE Transactions on Very Large Scale Integration Systems, 24, 1, 139 (2015)

3.K.J. Huang, R. Zhao, and Y. Lian, “A Low Power and High Sensing Margin Non-Volatile Full Adder Using Racetrack Memory”, IEEE Transactions on Circuits and Systems, 62, 4, 1109 (2015)

2.S.W. Ryu, P. Lee, J.B. Chou, R. Xu, R. Zhao, A.J. Hart and S.G. Kim*, “Fabrication of extremely elastic wearable strain sensor using aligned carbon nanotube fibers for monitoring human motion”, ACS Nano, 9, 5929 (2015)

1.S.W. Ryu, J.B. Chou, K. Lee, D.J. Lee, S.H. Hong, R. Zhao*, H. Lee*, S.G. Kim*, “Direct insulation-to-conduction transformation of adhesive catecholamine for simultaneous increases of electrical conductivity and mechanical strength of CNT fibers”, Advanced Materials, 27, 3250 (2015) (Cover Page)

2014

2.K.J. Huang, R. Zhao*, N. Ning and Y. Lian, “A Low Power Localized 2T1R STT-MRAM Array With Pipelined Quad-Phase Saving Scheme for Zero Sleep Power Systems”, IEEE Transactions on Circuits and Systems I, Vol. 61, 9, 2614 (2014)

1.K.J. Huang, Y.J. Ha, R. Zhao*, K. Akash, Y. Lian, “A Low Active Leakage and High Reliability Phase Change Memory (PCM) Based Non-Volatile FPGA Storage Element”, IEEE Transactions on Circuits and Systems I, Vol. 61, 9, 2605 (2014)

2.W. He, K.J. Huang, N. Ning, K. Ramanathan, G.Q. Li, Y. Jiang, J.Y. Sze, L.P. Shi, R. Zhao* and J. Pei, “Enabling an Integrated Rate-temporal Learning Scheme on Memristor”, Scientific Reports, 4, 4755 (2014)

1.H.X. Yang, H.K. Lee, R. Zhao*, L.P. Shi, and T.C. Chong, “Programming current density reduction for elevated-confined phase change memory with a self-aligned oxidation TiWOx heater”, Applied Physics Letters, Vol. 105, 213509 (2014)

2013

3.V.Y.Q. Zhuo, Y. Jiang, M.H, Li, E.K. Chua, Z. Zhang, J.S. Pan, R. Zhao*, L.P. Shi, T.C. Chong, J. Robertson, “Band Alignment between Ta2O5 and Metals for Resistive Random Access Memory Electrodes Engineering”, Applied Physics Letters, 102, 6, 062106 (2013)

2.V.Y.Q. Zhuo, Y. Jiang, R. Zhao*, L.P. Shi, Y. Yang, T.C. Chong, and J. Robertson, “Improved Switching Uniformity and Low Voltage Operation in TaOx-based RRAM Using Ge Reactive Layer”, IEEE Electron Device Letters, 34, 9, 1130 (2013)

1.C.C. Tan, L.P. Shi, R. Zhao*, Q. Guo, Y. Li, Y. Yang, T.C. Chong, J.A. Malen, W.L. Ong, T.E. Schleshinger, and J.A. Bain, “Compositionally Matched Nitrogen-doped Ge2Sb2Te5/Ge2Sb2Te5 Superlattice-like Structures for PCRAM”, Applied Physics Letters, 103, 133507 (2013)

2012

4.J.Q. Huang, L.P. Shi, E.G. Yeo, K.J. Yi, and R. Zhao*, “Electrochemical metallization resistive memory devices using ZnS-SiO2 as a solid electrolyte”, IEEE Electron Device Letters, 33, 98 (2012)

3.D. Loke, T.H. Lee, W.J. Wang, L.P. Shi, R. Zhao, T.C. Chong, Y.C. Yeo and S.R. Elliott, “Breaking the speed Limits of phase-change memory”, Science, 336, 1566 (2012)

2.E.K. Chua, R. Zhao*, L.P. Shi, T.C. Chong, T.E. Schlesinger and J.A. Bain, “Effect of metals and annealing on specific contact resistivity of GeTe/metal contacts”, Applied Physics Letters, 101, 012107 (2012)

1.M.H. Li, R. Zhao*, L.T. Law, K.G. Lim, and L.P. Shi, “TiWOx interfacial layer for current reduction and cyclability enhancement of phase change memory”, Applied Physics Letters, 101, 073502 (2012)

2000

6.Brain-inspired global-local learning incorporated with neuromorphic computing

5.A framework for the general design and computation of hybrid neural networks

4.Towards both accurate and robust neural networks without extra data

3.HASP: Hierarchical Asynchronous Parallelism for Multi-NN Tasks

2.Advancing brain-inspired computing with Hybrid Neural networks

1.A vision chip with complementary pathways for open-world sensing

赵蓉教授

仪器科学与技术研究所

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