Publications (33)
Cascadable in-memory computing based on symmetric writing and read out
Lizheng Wang, Junlin Xiong, Bin Cheng +17
The building block of in-memory computing with spintronic devices is mainly based on the magnetic tunnel junction with perpendicular interfacial anisotropy (p-MTJ). The resulting a…
AERO: Adaptive and Efficient Runtime-Aware OTA Updates for Energy-Harvesting IoT
Wei Wei, Jingye Xu, Sahidul Islam +3
Energy-harvesting (EH) Internet of Things (IoT) devices operate under intermittent energy availability, which disrupts task execution and makes energy-intensive over-the-air (OTA)…
EasyTPP: Towards Open Benchmarking Temporal Point Processes
Siqiao Xue, Xiaoming Shi, Zhixuan Chu +9
Continuous-time event sequences play a vital role in real-world domains such as healthcare, finance, online shopping, social networks, and so on. To model such data, temporal point…
Robust memristors based on layered two-dimensional materials
Miao Wang, Songhua Cai, Chen Pan +11
Van der Waals heterostructure based on layered two-dimensional (2D) materials offers unprecedented opportunities to create materials with atomic precision by design. By combining s…
S-type Negative Differential Resistance in Semiconducting Transition-Metal Dichalcogenides
Miao Wang, Chengyu Wang, Chenchen Wu +5
Current-controlled (also known as "S-type") negative differential resistance (NDR) is of crucial importance to many emerging applications including neuromorphic computing and high-…
Machine learning guided discovery of superconducting calcium borocarbides
Chao Zhang, Hui Tang, Chen Pan +4
Pursuit of superconductivity in light-element systems at ambient pressure is of great experimental and theoretical interest. In this work, we combine a machine learning (ML) method…
Energy Harvesting Aware Multi-hop Routing Policy in Distributed IoT System Based on Multi-agent Reinforcement Learning
Wen Zhang, Tao Liu, Mimi Xie +3
Energy harvesting technologies offer a promising solution to sustainably power an ever-growing number of Internet of Things (IoT) devices. However, due to the weak and transient na…
Temperature-sensitive spatial distribution of defects in PdSe2 flakes
Xiaowei Liu, Yaojia Wang, Qiqi Guo +20
Defect engineering plays an important role in tailoring the electronic transport properties of van der Waals materials. However, it is usually achieved through tuning the type and…
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma +9
Time series forecasts of different temporal granularity are widely used in real-world applications, e.g., sales prediction in days and weeks for making different inventory plans. H…
Gated Tuned Superconductivity and Phonon Softening in Mono- and Bilayer MoS
Yajun Fu, Erfu Liu, Hongtao Yuan +16
Superconductors at the atomic two-dimensional (2D) limit are the focus of an enduring fascination in the condensed matter community. This is because, with reduced dimensions, the e…
Automatic Deduction Path Learning via Reinforcement Learning with Environmental Correction
Shuai Xiao, Chen Pan, Min Wang +6
Automatic bill payment is an important part of business operations in fintech companies. The practice of deduction was mainly based on the total amount or heuristic search by divid…
Gate-tunable van der Waals heterostructure for reconfigurable neural network vision sensor
Chen-Yu Wang, Shi-Jun Liang, Shuang Wang +18
Early processing of visual information takes place in the human retina. Mimicking neurobiological structures and functionalities of the retina provide a promising pathway to achiev…
Moire synaptic transistor for homogeneous-architecture reservoir computing
Pengfei Wang, Moyu Chen, Yongqin Xie +6
Reservoir computing has been considered as a promising intelligent computing paradigm for effectively processing complex temporal information. Exploiting tunable and reproducible d…
SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies
Fan Zhou, Chen Pan, Lintao Ma +9
Multivariate time series forecasting with hierarchical structure is widely used in real-world applications, e.g., sales predictions for the geographical hierarchy formed by cities,…
A Note on - Optimal Stopping Problems
Xin Guo, Chen Pan, Shige Peng
We consider a class of discretionary stopping problems within the -framework. We first establish the well-definedness of the stopping problem under the -expectation, by showi…
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices
Sahidul Islam, Jieren Deng, Shanglin Zhou +3
Energy harvesting (EH) IoT devices that operate intermittently without batteries, coupled with advances in deep neural networks (DNNs), have opened up new opportunities for enablin…
Room-temperature high detectivity mid-infrared photodetectors based on black arsenic phosphorus
Mingsheng Long, Anyuan Gao, Peng Wang +12
The mid-infrared (MIR) spectral range, pertaining to important applications such as molecular 'fingerprint' imaging, remote sensing, free space telecommunication and optical radar,…
Intrinsic p-type W-based transition metal dichalcogenide by substitutional Ta-doping
Yajun Fu, Mingsheng Long, Anyuan Gao +10
Two-dimensional (2D) transition metal dichalcogenides (TMDs) have recently emerged as promising candidates for future electronics and optoelectronics. While most of TMDs are intrin…
Martingale Problem under Nonlinear Expectations
Xin Guo, Chen Pan, Shige Peng
We formulate and solve the martingale problem in a nonlinear expectation space. Unlike the classical work of Stroock and Varadhan (1969) where the linear operator in the associated…
Analog Circuit Applications based on Ambipolar Graphene/MoTe2 Vertical Transistors
Chen Pan, Yajun Fu, Jiaxin Wang +12
The current integrated circuit (IC) technology based on conventional MOS-FET (metal-oxide-semiconductor field-effect transistor) is approaching the limit of miniaturization with in…
A positive feedback method based on F-measure value for Salient Object Detection
Ailing Pan, Chao Dai, Chen Pan +2
The majority of current salient object detection (SOD) models are focused on designing a series of decoders based on fully convolutional networks (FCNs) or Transformer architecture…
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
Yuhui Wu, Chen Pan, Guoqing Wang +4
Low-light image enhancement (LLIE) investigates how to improve illumination and produce normal-light images. The majority of existing methods improve low-light images via a global…
Deep Optimal Timing Strategies for Time Series
Chen Pan, Fan Zhou, Xuanwei Hu +6
Deciding the best future execution time is a critical task in many business activities while evolving time series forecasting, and optimal timing strategy provides such a solution,…
Negative Photoconductance in van der Waals Heterostructures-Based Floating Gate Phototransistor
Yu Wang, Erfu Liu, Anyuan Gao +9
Van der Waals (vdW) heterostructures made of two-dimensional materials have been demonstrated to be versatile architectures for optoelectronic applications due to strong light-matt…
Phase transition and enhanced hardness of LaB4 under pressure
Chen Pan, Sheng-Yan Wang, Hui Tang +4
The crystalline structures of lanthanum tetraboride, LaB4, under pressure are investigated using a genetic algorithm method coupled with first-principles calculations. We find two…
Energy-aware Incremental OTA Update for Flash-based Batteryless IoT Devices
Wei Wei, Jishnu Banerjee, Sahidul Islam +2
Over-the-air (OTA) firmware updates are essential for updating and maintaining IoT devices, especially those batteryless devices reliant on energy harvesting power sources. Flash m…
Experimental identification of critical condition for drastically enhancing thermoelectric power factor of two-dimensional layered materials
Junwen Zeng, Xin He, Shi-Jun Liang +16
Nano-structuring is an extremely promising path to high performance thermoelectrics. Favorable improvements in thermal conductivity are attainable in many material systems, and the…
A new proof of uniqueness of ground state for pseudo-relativistic Hartree equation
Chen Pan, Zeng xiaoyu
We present a new proof of the uniqueness of ground states for the pseudo-relativistic Hartree equation in the non-relativistic regime. The proof treats the Euler-Lagrange equation…
Joint-optimization of Node placement and UAV's Trajectory for Self-sustaining Air-Ground IoT system
Wen Zhang, Wenlu Wang, Mehdi Sookhak +1
Due to the sustainable power supply and environment-friendly features, self-powered IoT devices have been increasingly employed in various fields such as providing observation data…
Parallel in-memory wireless computing
Cong Wang, Gong-Jie Ruan, Zai-Zheng Yang +13
Parallel wireless digital communication with ultralow power consumption is critical for emerging edge technologies such as 5G and Internet of Things. However, the physical separati…
Energy-Adaptive Checkpoint-Free Intermittent Inference for Low Power Energy Harvesting Systems
Sahidul Islam, Wei Wei, Jishnu Banarjee +1
Deep neural network (DNN) inference in energy harvesting (EH) devices poses significant challenges due to resource constraints and frequent power interruptions. These power losses…
Scalable massively parallel computing using continuous-time data representation in nanoscale crossbar array
Cong Wang, Shi-Jun Liang, Chen-Yu Wang +10
The growth of connected intelligent devices in the Internet of Things has created a pressing need for real-time processing and understanding of large volumes of analogue data. The…
Gate-Induced Interfacial Superconductivity in 1T-SnSe2
Junwen Zeng, Erfu Liu, Yajun Fu +16
Layered metal chalcogenide materials provide a versatile platform to investigate emergent phenomena and two-dimensional (2D) superconductivity at/near the atomically thin limit. In…