Shixuan Liu

According to our database, Shixuan Liu authored at least 21 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Coherence mode: Characterizing local graph structural information for temporal knowledge graph.

Yuehang Si, Xingchen Hu, Qing Cheng, Xinwang Liu, Shixuan Liu, Jincai Huang

Inf. Sci., 2025

EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks.

Shixuan Liu, Haoxiang Cheng, Yunfei Wang, Yue He, Changjun Fan, Zhong Liu

Inf. Process. Manag., 2025

2024

ORAD: a new framework of offline Reinforcement Learning with Q-value regularization.

Longfei Zhang, Yulong Zhang, Shixuan Liu, Li Chen, Xingxing Liang, Guangquan Cheng, Zhong Liu

Evol. Intell., 2024

dattri: A Library for Efficient Data Attribution.

Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma

CoRR, 2024

TeleChat Technical Report.

Zihan Wang, Xinzhang Liu, Shixuan Liu, Yitong Yao, Yuyao Huang, Zhongjiang He, Xuelong Li, Yongxiang Li, Zhonghao Che, Zhaoxi Zhang, Yan Wang, Xin Wang, Luwen Pu, Huihan Xu, Ruiyu Fang, Yu Zhao, Jie Zhang, Xiaomeng Huang, Zhilong Lu, Jiaxin Peng, Wenjun Zheng, Shiquan Wang, Bingkai Yang, Xuewei He, Zhuoru Jiang, Qiyi Xie, Yanhan Zhang, Zhongqiu Li, Lingling Shi, Weiwei Fu, Yin Zhang, Zilu Huang, Sishi Xiong, Yuxiang Zhang, Chao Wang, Shuangyong Song

CoRR, 2024

PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling.

Yunfei Wang, Shixuan Liu, Wenhao Wang, Cheng Zhu, Changjun Fan, Kuihua Huang, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement.

Jie Kang, Shixuan Liu, Kuihua Huang, Changjun Fan, Hua He, Chao Chen

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

LLM4HIN: Discovering Meta-path with Large Language Model for Reasoning on Complex Heterogeneous Information Networks.

Haoxiang Cheng, Shixuan Liu, Changjun Fan, Kuihua Huang, Hua He, Xianghan Wang, Zhong Liu

Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph Pre-training for Reconnaissance Perception in Automated Penetration Testing.

Yunfei Wang, Shixuan Liu, Chao Zhang, Wenhao Wang, Jiandong Jin, Cheng Zhu, Changling Zhou

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract).

Shixuan Liu, Chao Wang, Shuangyong Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization.

Shixuan Liu, Yanghe Feng, Keyu Wu, Guangquan Cheng, Jincai Huang, Zhong Liu

IEEE Trans. Cybern., April, 2023

The Expressive Power of Graph Neural Networks: A Survey.

Bingxu Zhang, Changjun Fan, Shixuan Liu, Kuihua Huang, Xiang Zhao, Jincai Huang, Zhong Liu

CoRR, 2023

Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks.

Shixuan Liu, Changjun Fan, Kewei Cheng, Yunfei Wang, Peng Cui, Yizhou Sun, Zhong Liu

CoRR, 2023

Towards Intelligent Training Systems for Customer Service.

Shuangyong Song, Shixuan Liu

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Data Augmented Knowledge Graph Completion via Pre-trained Language Models.

Shixuan Liu, Pouya Ghiasnezhad Omran, Kerry Taylor

Proceedings of the ISWC 2023 Posters, 2023

icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service.

Shixuan Liu, Chen Peng, Chao Wang, Xiangyan Chen, Shuangyong Song

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022

Adversarial domain translation networks for integrating large-scale atlas-level single-cell datasets.

Jia Zhao, Gefei Wang, Jingsi Ming, Zhixiang Lin, Yang Wang, Snigdha Agarwal, Aditi Agrawal, Ahmad Al-Moujahed, Alina Alam, Megan A. Albertelli, Paul Allegakoen, Thomas Ambrosi, Jane Antony, Steven Artandi, Fabienne Aujard, Kyle Awayan, Ankit Baghel, Isaac Bakerman, Trygve E. Bakken, Jalal Baruni, Philip Beachy, Biter Bilen, Olga B. Botvinnik, Scott D. Boyd, Deviana Burhan, Kerriann M. Casey, Charles Chan, Charles A. Chang, Stephen Chang, Ming Chen, Michael F. Clarke, Sheela Crasta, Rebecca Culver, Jessica D'Addabbo, Spyros Darmanis, Roozbeh Dehghannasiri, Song-Lin Ding, Connor V. Duffy, Jacques Epelbaum, F. Hernán Espinoza, Camille Ezran, Jean Farup, James E. Ferrell Jr, Hannah K. Frank, Margaret Fuller, Astrid Gillich, Elias Godoy, Dita Gratzinger, Lisbeth A. Guethlein, Yan Hang, Kazuteru Hasegawa, Rebecca D. Hodge, Malachia Hoover, Franklin W. Huang, Kerwyn Casey Huang, Shelly Huynh, Taichi Isobe, Carly Israel, Sori Jang, Qiuyu Jing, Robert C. Jones, Jengmin Kang, Caitlin J. Karanewsky, Jim Karkanias, Justus Kebschull, Aaron Kershner, Lily Kim, Seung K. Kim, E. Christopher Kirk, Winston Koh, Silvana Konermann, William Kong, Mark A. Krasnow, Christin Kuo, Corinne Lautier, Song Eun Lee, Ed S. Lein, Rebecca Lewis, Peng Li, Shengda Lin, Shixuan Liu, Yin Liu, Gabriel Loeb, Jonathan Z. Long, Wan-Jin Lu, Katherine Lucot, Liqun Luo, Aaron McGeever, Ross Metzger, Jingsi Ming, Thomas J. Montine, Antoine de Morree, Maurizio Morri, Karim Mrouj, Shravani Mukherjee, Ahmad Nabhan, Saba Nafees, Norma Neff, Patrick Neuhöfer, Patricia Nguyen, Jennifer Okamoto, Julia Eve Olivieri, Youcef Ouadah, Honor Paine, Peter Parham, Jozeph L. Pendleton, Lolita Penland, Martine Perret, Angela Oliveira Pisco, Zhen Qi, Stephen R. Quake, Ute Radespiel, Thomas A. Rando, Hajanirina Noëline Ravelonjanahary, Andriamahery Razafindrakoto, Julia Salzman, Nicholas Schaum, Robert Schopler, Bronwyn Scott, Liza Shapiro, Hosu Sin, Rahul Sinha, Rene Sit, Geoff Stanley, Lubert Stryer, Varun Ramanan Subramaniam, Aditi Swarup, Weilun Tan, Alexander Tarashansky, Aris Taychameekiatchai, Jérémy Terrien, Kyle J. Travaglini, Andoni Urtasun, Sivakamasundari, Avin Veerakumar, Venkata Naga Pranathi Vemuri, Jean-Michel Verdier, Iwijn De Vlaminck, Douglas Vollrath, Bo Wang, Bruce Wang, Gefei Wang, Michael F. Z. Wang, Sheng Wang, James Webber, Hannah Weinstein, Irving L. Weissman, Amanda L. Wiggenhorn, Cathy V. Williams, Patricia Wright, Albert Y. Wu, Angela Ruohao Wu, Tony Wyss-Coray, Bao Xiang, Jia Yan, Can Yang, Jinxurong Yang, Anne D. Yoder, Brian Yu, Andrea R. Yung, Yue Zhang, Jia Zhao, Zicheng Zhao

Nat. Comput. Sci., 2022

Distilling Causal Metaknowledge from Knowledge Graphs.

Yuan Meng, Yancheng Dong, Shixuan Liu, Chaohao Yuan, Yue He, Jian Pei, Peng Cui

IEEE Data Eng. Bull., 2022

2021

Development of Capacitive Rain Gauge for Marine Environment.

Hui Chai, Shixuan Liu, Xianglong Yang, Xiaozheng Wan, Shizhe Chen, Jiming Zhang, Yushang Wu, Liang Zheng, Qiang Zhao

J. Sensors, 2021

A Continuous Space Location Model and a Particle Swarm Optimization-Based Heuristic Algorithm for Maximizing the Allocation of Ocean-Moored Buoys.

Miaomiao Song, Shixuan Liu, Wenqing Li, Shizhe Chen, Wenwen Li, Keke Zhang, Dingfeng Yu, Lin Liu, Xiaoyan Wang

IEEE Access, 2021

2014

A dynamic relearning neural network model for time series analysis of online marine data.

Wenqing Li, Wenyan Wang, Xiaoyan Wang, Shixuan Liu, Liang Pei, Fadong Guo

Comput. Geosci., 2014