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IEEE International Conference on Computer-Aided Design

作者： Ziran Zhu Fuheng Shen Yangjie Mei Zhipeng Huang Jianli Chen Jun Yang National ASIC System Engineering Center Southeast University Nanjing China Department of Mathematics and Theories Peng Cheng Laboratory Shenzhen China State Key Lab of ASIC & System Fudan University Shanghai China

Placement and routing are typically defined as two separate problems to reduce the design complexity. However, such a divide-and-conquer approach inevitably incurs the degradation of solution quality due to the correlation/objectives of placement and routing are not entirely consistent. Besides, with various constraints (e.g., timing, R/C characteristic, voltage area, etc.) imposed by advanced circuit designs, bridging the gap between placement and routing while satisfying the advanced constraints has become more challenging. In this paper, we develop a robust global routing engine with high-accuracy cell movement under advanced constraints to narrow the gap and improve the routing solution. We first present a routing refinement technique to obtain the convergent routing result based on fixed placement, which provides more accurate information for subsequent cell movement. To achieve fast and high-accuracy position prediction for cell movement, we construct a lookup table (LUT) considering complex constraints/objectives (e.g., routing direction and layer-based power consumption), and generate a timing-driven gain map for each cell based on the LUT. Finally, based on the prediction, we propose an alternating cell movement and cluster movement scheme followed by partial rip-up and reroute to optimize the routing solution. Experimental results on the ICCAD 2020 contest benchmarks show that our algorithm achieves the best total scores among all published works. Compared with the champion of the ICCAD 2021 contest, experimental results on the ICCAD 2021 contest benchmarks show that our algorithm achieves better solution quality in shorter runtime.

关键词： Power demand Runtime Design automation Voltage Benchmark testing Routing Prediction algorithms

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Low-Cost Lithography Hotspot Detection with Active Entropy Sampling and Model Calibration 21

Low-Cost Lithography Hotspot Detection with Active Entropy S...

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Proceedings of the 58th Annual ACM/IEEE Design Automation Conference

作者： Yifeng Xiao Miaodi Su Haoyu Yang Jianli Chen Jun Yu Bei Yu Department of Microelectronics Fudan University Shanghai China College of Mathematics and Computer Science Fuzhou University Fuzhou China Department of Computer Science and Engineering The Chinese University of Hong Kong NT Hong Kong China Department of Microelectronics Fudan University Shanghai China and State Key Lab of ASIC & System Fudan University Shanghai China State Key Lab of ASIC & System Fudan University Shanghai China

ISBN: (纸本)9781665432740

With feature size scaling and complexity increase of circuit designs, hotspot detection has become a significant challenge in the very-large-scale-integration (VLSI) industry. Traditional detection methods, such as pattern matching and machine learning, have been made a remarkable progress. However, the performance of classifiers relies heavily on reference layout libraries, leading to the high cost of lithography simulation. Querying and sampling qualified candidates from raw datasets make active learning-based strategies serve as an effective solution in this field, but existing relevant studies fail to take sufficient sampling criteria into account. In this paper, embedded in pattern sampling and hotspot detection framework, an entropy-based batch mode sampling strategy is proposed in terms of calibrated model uncertainty and data diversity to handle the hotspot detection problem. Redundant patterns can be effectively avoided, and the classifier can converge with high celerity. Experiment results show that our method outperforms previous works in both ICCAD2012 and ICCAD2016 Contest benchmarks, achieving satisfactory detection accuracy and significantly reduced lithography simulation overhead.

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III-V/Si hybrid external-cavity laser utilizing TM mode in the passive photonic circuit 27

III-V/Si hybrid external-cavity laser utilizing TM mode in t...

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27th OptoElectronics and communications Conference/International Conference on Photonics in Switching and Computing, OECC/PSC 2022

作者： Guo, Yuyao Li, Xinhang Jin, Minhui Lu, Liangjun Xie, Jingya Chen, Jianping Zhou, Linjie Shanghai Institute for Advanced Communication and Data Science State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Department of Electronic Engineering Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center University of Shanghai for Science and Technology Shanghai Key Lab of Modern Optical System Shanghai200093 China

We present a III-V/Si hybrid laser using the silicon waveguide TM mode to reduce the propagation loss, backscattering, and two-photon absorption. The TM-mode laser has superior performance than the TE-mode laser. ... 详细信息

ISBN: (数字)9784885523366

ISBN: (纸本)9784885523366

关键词： Photons

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High-performance III-V/Si3N4 O-band External Cavity Tunable Laser

High-performance III-V/Si3N4 O-band External Cavity Tunable ...

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CLEO: science and Innovations, S and I 2022

作者： Guo, Yuyao Li, Xinhang Jin, Minhui Liu, Chuxin Xu, Weihan Lu, Liangjun Xie, Jingya Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai200093 China

We present a III-V/Si3N4 O-band hybrid laser, which shows a high output power of 42 mW, wide tuning range of 62 nm with side-mode suppression ratio >50 dB, and narrow intrinsic linewidth of ~600 Hz. © Optica P...

ISBN: (纸本)9781557528209

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Downstream-agnostic Adversarial Examples

Downstream-agnostic Adversarial Examples

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International Conference on Computer Vision (ICCV)

作者： Ziqi Zhou Shengshan Hu Ruizhi Zhao Qian Wang Leo Yu Zhang Junhui Hou Hai Jin School of Cyber Science and Engineering Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Wuhan University School of Information and Communication Technology Griffith University Department of Computer Science City University of Hong Kong School of Computer Science and Technology Huazhong University of Science and Technology Cluster and Grid Computing Lab

Self-supervised learning usually uses a large amount of unlabeled data to pre-train an encoder which can be used as a general-purpose feature extractor, such that downstream users only need to perform fine-tuning operations to enjoy the benefit of "large model". Despite this promising prospect, the security of pre-trained encoder has not been thoroughly investigated yet, especially when the pre-trained encoder is publicly available for commercial *** this paper, we propose AdvEncoder, the first framework for generating downstream-agnostic universal adversarial examples based on the pre-trained encoder. AdvEncoder aims to construct a universal adversarial perturbation or patch for a set of natural images that can fool all the downstream tasks inheriting the victim pre-trained encoder. Unlike traditional adversarial example works, the pre-trained encoder only outputs feature vectors rather than classification labels. Therefore, we first exploit the high frequency component information of the image to guide the generation of adversarial examples. Then we design a generative attack framework to construct adversarial perturbations/patches by learning the distribution of the attack surrogate dataset to improve their attack success rates and transferability. Our results show that an attacker can successfully attack downstream tasks without knowing either the pre-training dataset or the downstream dataset. We also tailor four defenses for pre-trained encoders, the results of which further prove the attack ability of AdvEncoder. Our codes are available at: https://***/CGCL-codes/AdvEncoder.

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Multi-Dimensional Spectrum Data Denoising Based on Tensor Theory 4

Multi-Dimensional Spectrum Data Denoising Based on Tensor Th...

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4th IEEE International Conference on Electronics and communication engineering, ICECE 2021

作者： Zhai, Chengkai Zhang, Wensheng Sun, Jian Zhu, Weihong Ma, Piming Bai, Zhiquan Zhang, Lei Shandong Provincial Key Lab of Wireless Communication Technologies School of Information Science and Engineering Shandong University Qingdao China Shandong Provincial Key Lab of Wireless Communication Technologies Shandong University Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Nanjing University of Aeronautics and Astronautics Qingdao China Department of Traffic Information and Control Engineering Tongji University Shanghai China

ISBN: (纸本)9781728194226

In this paper, we propose a novel multi-dimensional spectrum data denoising scheme from the perspective of tensor theory. The spectrum data is organized into spectrum tensor comprehensively from multiple dimensions. The optimal low rank approximation of the noisy spectrum tensor can be calculated by TUCKALS3 algorithm to reduce noise. Estimating the n-rank of tensor more accurately is necessary to improve the denoising performance of the TUCKALS3 algorithm. Therefore, we further improve the existing minimum description length (MDL) algorithm. Experimental results show that the signal-to-noise ratio (SNR) of the spectrum tensor can be increased by 15dB averagely by applying the enhanced algorithm, even at a higher noise level. The enhanced TUCKALS3 algorithm can effectively denoise multi-dimensional spectrum data and improve the corresponding system performance. ©2021 IEEE

关键词： Tensors

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Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform

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eLight 2022年第1期2卷 132-142页

作者： Qian Ma Wei Gao Qiang Xiao Lingsong Ding Tianyi Gao Yajun Zhou Xinxin Gao Tao Yan Che Liu Ze Gu Xianghong Kong Qammer HAbbasi Lianlin Li Cheng‑Wei Qiu Yuanqing Li Tie Jun Cui Institute of Electromagnetic Space Southeast UniversityNanjing 210096China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China State Key Laboratory of Millimeter Wave Southeast UniversityNanjing 210096China Center of Intelligent Metamaterials Pazhou Laboratory Guangzhou 510330China Research Center for Brain-Computer Interface Pazhou LabGuangzhou 510330China Department of Electrical and Computer Engineering National University of SingaporeSingaporeSingapore University of Glasgow James Watt School of EngineeringGlasgow G128QQUK State Key Laboratory of Advanced Optical Communication Systems and Networks Department of ElectronicsPeking UniversityBeijing 100871China

Brain-computer interfaces(BCIs),invasive or non-invasive,have projected unparalleled vision and promise for assisting patients in need to better their interaction with the *** by the BCI-based rehabilitation technologies for nerve-system impairments and amputation,we propose an electromagnetic brain-computer-metasurface(EBCM)paradigm,regulated by human’s cognition by brain signals directly and *** experimentally show that our EBCM platform can translate human’s mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively,which can be further processed and transported by an information metasurface in automated and wireless *** wireless communications of the human minds are performed between two EBCM operators with accurate text ***,several other proof-of-concept mind-control schemes are presented using the same EBCM platform,exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning,wave modulations,and pattern encoding.

关键词： communication computer surface

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Deep Reinforcement Learning for Multi-Functional RIS-Aided Over-the-Air Federated Learning in Internet of Robotic Things

Deep Reinforcement Learning for Multi-Functional RIS-Aided O...

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IEEE International Conference on communications (ICC)

作者： Xinran Zhang Hui Tian Wanli Ni Zhaohui Yang State Key laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China Department of Electronic Engineering Tsinghua University Beijing China Zhejiang Lab Hangzhou China College of Information Science and Electronic Engineering Zhejiang University Hangzhou China Zhejiang Provincial Key Lab of Information Processing Communication and Networking (IPCAN) Hangzhou China

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

To facilitate edge intelligence in Internet of Robotic Things (IoRT), over-the-air federated learning (AirFL) is a communication-efficient enabler by virtue of its high spectrum efficiency and low transmission latency. Supported by multi-functional reconfigurable intelligent surface (MF-RIS), the model aggregation process of AirFL can be facilitated thanks to full-space signal amplification. However, the learning performance of AirFL may be degraded by the uncertainty of wireless channels originated from inaccurate channel estimation and robot mobility. In this paper, we investigate the model aggregation problem of MF-RIS-aided AirFL in a dynamic IoRT system with imperfect channel state information (CSI). We aim to minimize the long-term mean square error (MSE) of AirFL model aggregation by jointly optimizing MF-RIS coefficients and transceiver beamforming. To enable online decision-making in the dynamic system, we propose a novel deep reinforcement learning (DRL)-based double-agent algorithm, where one agent first decides operating modes of MF-RIS elements, and then the other agent devises transceiver beamforming and other MF-RIS coefficients referring to the mode switching strategy. Numerical results unveil the effectiveness and robustness of the proposed DRL-based algorithm in suppressing long-term MSE under hostile CSI.

关键词： Array signal processing Federated learning Heuristic algorithms Atmospheric modeling Wireless networks Channel estimation Transceivers

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Novel semiconductor devices based on SOL substrate

Novel semiconductor devices based on SOL substrate

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2020 China Semiconductor Technology International Conference, CSTIC 2020

作者： Xiao, K. Liu, J. Deng, J.N. Jiang, Y.L. Bao, W.Z. Zaslavsky, A. Cristoloveanu, S. Gong, X. Wan, J. State Key Lab of ASIC and System School of Information Science and Engineering Fudan University Shanghai China State Key Lab of ASIC and System School of Microelectronics Fudan University Shanghai China Brown University Department of Physics and School of Engineering ProvidenceRI02912 United States IMEP-LAHC INP-Grenoble/Minatec Grenoble38016 France Singapore

ISBN: (纸本)9781728165585

In this work, we review our recent studies on several novel devices built on silicon-on-insulator (SOI) substrates. The sharp-switching Z2-FET, based on a feedback mechanism, has been demonstrated as suitable for many applications. The PISD, capable of in-situ photoelectron sensing, has been used as a one-transistor active pixel sensor (1T-APS). Furthermore, an SOI/MoS2 heterojunction FET has been demonstrated as both a photodetector with a dynamic response spectrum and as a novel one-transistor wavelength detector (1T-WD) with an output signal sensitive to the variation of wavelength rather than intensity. © 2020 IEEE.

关键词： Heterojunctions

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Distortion-aware 2D soft decision for VCSEL-MMF optical PAM interconnection

Distortion-aware 2D soft decision for VCSEL-MMF optical PAM ...

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Optical Fiber communication Conference, OFC 2020

作者： Sun, Lin Du, Jiangbing Zhang, Wenjia Chi, Nan Lu, Chao He, Zuyuan State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Jiao Tong University Shanghai200240 China Department of Electronic and Information Engineering Photonics Research Centre Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong Department of Communication Science and Engineering State Key Lab of ASIC and System Fudan University Shanghai200433 China

A distortion-aware 2D soft decision method of PAM signals have been proposed for VCSEL-MMF interconnection system. Improvements and application potential have been experimentally investigated on a 112-Gbps optical PAM... 详细信息

ISBN: (数字)9781943580712

ISBN: (纸本)9781943580712

关键词： Optical fiber communication

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