Tun Li

Chongqing University of Posts and Telecommunications

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Yunpeng Xiao

Chongqing University of Posts and Telecommunications

Qian Li

Chongqing University of Posts and Telecommunications

Rong Wang

Chongqing University of Posts and Telecommunications

Chaolong Jia

Chongqing University of Posts and Telecommunications

Yanbing Liu

Chinese Academy of Sciences

Kexin Ma

Chongqing University of Posts and Telecommunications

LI Chuang-di

Guangxi University of Science and Technology

Xingyu Lu

Westlake University

Qilie Liu

Chongqing University of Posts and Telecommunications

Liu Hong

Chongqing University of Posts and Telecommunications

Cooperative Institutions

Chongqing University of Posts and Telecommunications

Chinese Academy of Sciences

Chongqing University

Huazhong University of Science and Technology

Xi'an Jiaotong University

Southwest University

Sun Yat-sen University

National University of Defense Technology

Shandong University

University of Science and Technology of China

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Attack plan recognition using hidden Markov and probabilistic inference

Computers & Security (2020)

Tun Li Yutian Liu Yanbing Liu Yunpeng Xiao Nang An Nguyen

Attack model

Markov blanket

Sequence (biology)

10.1016/j.cose.2020.101974

Cite

Citations (15)

A Malicious Information Popularity Prediction Model Based on User Influence

IEEE Transactions on Services Computing (2025)

Tun Li Yan Tang Rong Xie Yuxiong Weng Qian Li

Popularity

10.1109/tsc.2025.3544122

Cite

Citations (0)

A New Method for Automatic Generating Simulation Vectors from HDL Descriptions Based-on Path Coverage

Chinese Journal of Computers (2004)

Tun Li

A novel method for automatic generating simulation vectors from HDL descriptions based on path coverage and constraint solving is presented. The method only generates constraints for condition expression of the control statements, which can reduce the costs on constraint solving. It can deal with all constraints involving bits, bit-vectors and integers. It can deal with various HDL description styles, and various types of designs. Experimental results on several practical designs show that our method can efficiently improve the simulation vector generation process, which in turn accelerates the design process. The vectors generated by our method can also be used in low-level verification and fault simulation. The prototype system has been applied to verify RTL description of a real 32-bit microprocessor design and complex bugs remained hidden in the RTL descriptions are detected.

Microprocessor

Source

Cite

Citations (0)

Diffusion Pixelation: A Game Diffusion Model of Rumor & Anti-Rumor Inspired by Image Restoration

IEEE Transactions on Knowledge and Data Engineering (2022)

Yunpeng Xiao Zhen Huang Qian Li Xingyu Lu Tun Li

This study is inspired by the current image restoration technology. If we regard the users participating in the rumor as image pixels, similar to social networks, the recovery of pixel data is affected by the pixels themselves and neighbor pixels, then the prediction of user behavior in the rumor diffusion can be regarded as the process of image restoration for pixel-blurred user behavior images. We first propose a diffusion2pixel algorithm that transforms the user relationship network of topic diffusion into image pixel matrix. To cope with the diversity and complexity of the diffusion feature space, the user relationship network is reduced to a low-rank dense vectorization by representation learning before being pixelated by cutting and diffusion. Second, considering the competitive relationship between rumor and anti-rumor, transition matrix of rumor mutual influences is established by evolutionary game theory. A mutual influence model of rumor and anti-rumor is then proposed. Finally, we combine the transition matrix of rumor mutual influence into a simple prediction method Graph-CNN of rumor and anti-rumor topic diffusion based on dynamic iteration mechanism. Experiments confirmed the proposed model can effectively predict the group diffusion trends of rumor, and reflects the competitive relationship between rumor and anti-rumor.

Rumor

10.1109/tkde.2022.3144310

Cite

Citations (15)

A Key User Discovery Model Based on Data Compensation And Representation Learning

Rong Wang Yi Zhao Xinming Zhou Tun Li Yinxue Yi

Representation

10.2139/ssrn.5067020

Cite

Citations (0)

Recommendation Model Based on Dynamic Interest Group Identification and Data Compensation

IEEE Transactions on Network and Service Management (2021)

Xingyu Lu Jun Liu Shengli Gan Tun Li Yunpeng Xiao

With the increasing network service content, innovative methods are required for developing optimized network service for e-commerce companies. Accordingly, this study focuses on designing a framework containing personalization, interest group identification, and recommendation mechanisms. The primary contribution of this paper is to propose a recommendation model based on data compensation and dynamic user interest grouping. First, to address the problem of sparse user rating data, homeostasis compensation is performed on native data to more realistically restore the preference relationship between users and items by introducing the advantages of generative adversarial network in learning data distribution and enhancing data samples. Second, to address the problem of user interest generalization, information entropy is introduced to measure the user interest feature space. In addition, the time window marking method is used to further quantify the users’ dynamic interest group around the users’ interest drift. Finally, considering tensor decomposition characteristics in data dimension transformation and data compression, a score prediction model based on the “user-item-interest group” tensor decomposition is constructed. Simultaneously, a time decay function is introduced in the construction of the tensor to dynamically fit the user behavior and further improve prediction accuracy. Experiments show that the proposed framework can effectively improve the recommendation accuracies resulting from both sparse scoring data and dynamic user interest division.

Generative model

10.1109/tnsm.2021.3112702

Cite

Citations (4)

Research of Traffic Flow Template in EPS System

Video Engineering (2012)

Tun Li

In order to ensure the QoS mechanism of end to end to provide the experience of differential service for users better,the EPS system transports the packet data by the EPS bearer.In this paper,the Traffic Flow Template(TFT) is studied to comprehend the relation between the uplink packet filter(UL_PF) and the EPS bearer,to research the matching process of the uplink IP packet and the Packet Filter(PF).After these research,one matching process scheme between the uplink IP packet and the PF is put forward,which realizes the IP data transmitted through the EPS bearer.

Source

Cite

Citations (0)

Analytic solution to random wind-induced response of structures with TLD

Ha'erbin gongye daxue xuebao (2003)

Tun Li LI Chuang-di

The random wind-induced response of tall buildings with tuned liquid dampers is studied with dynamic equations established and main structures unfolded through the first mode. Considering the damping is a non-classical damping and the random wind spectrum is an irrational fraction wind spectrum, a random wind spectrum is generated using the linear filtered process, and the dynamic equations are disconnected by the complex mode theory and the expanding rank method. The analytic solution to the wind-induced response is expressed by the first mode and corresponds to the equivalent wind spectrum.

Response spectrum

Mode (computer interface)

Wind engineering

Random vibration

Source

Cite

Citations (0)

Nonlinear dynamics model for social popularity prediction based on multivariate chaotic time series

Physica A Statistical Mechanics and its Applications (2019)

Yunpeng Xiao Xiaoqiu Xie Qian Li Tun Li

Popularity

10.1016/j.physa.2019.04.110

Cite

Citations (7)

Survey on Microprocessor Agile Design Methodology and Technology

Journal of Computer-Aided Design & Computer Graphics (2021)

Tun Li Xu He Wanxia Qu Hai Wan

The era of Dennard scaling and Moore’s law is coming to an end. As a result, it is more and more important to improve the performance of microprocessors through novel domain specific architectures. The growing complexity of domain specific architectures leads to a design productivity crisis, which stimulates the development of new tools and methodologies to enable the completion of complex chip designs on schedule and within budget for specific domain requirements. The global research practices gradually show that the microprocessor agile design methodology is an effective solution to the design productivity crisis. This survey first briefly discusses the essence of agile design methodology and the possibility of applying it to microprocessor design by comparing the characters between software and hardware designs. Then the paper reviews the main research work in recent years and shows the research status and development trends. Finally, we give some suggestions on the potential research directions for the near future.

Microprocessor

Design methods

10.3724/sp.j.1089.2021.18229

Cite

Citations (0)