Computable Categoricity of Graphs with Finite Components. - Barbara F. Csima; Bakhadyr Khoussainov; Jiamou Liu (CiE, 2008)

Analysing Complexity in Classes of Unary Automatic Structures. - Jiamou Liu; Mia Minnes (LATA, 2009)

A Dynamic Algorithm for Reachability Games Played on Trees. - Bakhadyr Khoussainov; Jiamou Liu; Imran Khaliq (MFCS, 2009)

On complexity of Ehrenfeucht-Fraïssé games. - Bakhadyr Khoussainov; Jiamou Liu (Ann. Pure Appl. Log., 2009)

Unary automatic graphs: an algorithmic perspective. - Bakhadyr Khoussainov; Jiamou Liu; Mia Minnes (Math. Struct. Comput. Sci., 2009)

The Isomorphism Problem for omega-Automatic Trees. - Dietrich Kuske; Jiamou Liu; Markus Lohrey (CSL, 2010)

The Isomorphism Problem on Classes of Automatic Structures. - Dietrich Kuske; Jiamou Liu; Markus Lohrey (LICS, 2010)

The Isomorphism Problem for omega-Automatic Trees - Dietrich Kuske; Jiamou Liu; Markus Lohrey (CoRR, 2010)

Extracting Winning Strategies in Update Games. - Imran Khaliq; Bakhadyr Khoussainov; Jiamou Liu (CiE, 2011)

Efficient Algorithms for Games Played on Trees with Back-edges. - Aniruddh Gandhi; Bakhadyr Khoussainov; Jiamou Liu (Fundam. Informaticae, 2011)

Deciding the isomorphism problem in classes of unary automatic structures. - Jiamou Liu; Mia Minnes (Theor. Comput. Sci., 2011)

Solving infinite games on trees with back-edges. - Aniruddh Gandhi; Bakhadyr Khoussainov; Jiamou Liu (CATS, 2012)

Tree-Automatic Well-Founded Trees. - Alexander Kartzow; Jiamou Liu; Markus Lohrey (CiE, 2012)

On State Complexity of Finite Word and Tree Languages. - Aniruddh Gandhi; Bakhadyr Khoussainov; Jiamou Liu (Developments in Language Theory, 2012)

Finite Automata over Structures - (Extended Abstract). - Aniruddh Gandhi; Bakhadyr Khoussainov; Jiamou Liu (TAMC, 2012)

Dynamising Interval Scheduling: The Monotonic Case. - Alexander Gavruskin; Bakhadyr Khoussainov; Mikhail Kokho; Jiamou Liu (IWOCA, 2013)

A Polychromatic Ramsey Theory for Ordinals. - Martin Huschenbett; Jiamou Liu (MFCS, 2013)

The isomorphism problem for ω-automatic trees. - Dietrich Kuske; Jiamou Liu; Markus Lohrey (Ann. Pure Appl. Log., 2013)

Tree-Automatic Well-Founded Trees - Martin Huschenbett; Alexander Kartzow; Jiamou Liu; Markus Lohrey (Log. Methods Comput. Sci., 2013)

Community Detection Based on Graph Dynamical Systems with Asynchronous Runs. - Jiamou Liu; Ziheng Wei (CANDAR, 2014)

Dynamic Interval Scheduling for Multiple Machines. - Alexander Gavruskin; Bakhadyr Khoussainov; Mikhail Kokho; Jiamou Liu (ISAAC, 2014)

From a Local to a Global Perspective of Community Detection in Networks. - Jiamou Liu; Ziheng Wei (PRICAI, 2014)

Dynamic Algorithms for Interval Scheduling on a Single Machine. - Alex Gavryushkin; Bakhadyr Khoussainov; Mikhail Kokho; Jiamou Liu (CoRR, 2014)

Dynamic Partial Sorting. - Jiamou Liu; Kostya Ross (CoRR, 2014)

Hierarchies, Ties and Power in Organisational Networks: Model and Analysis. - Jiamou Liu; Anastasia Moskvina (ASONAM, 2015)

A Game of Attribute Decomposition for Software Architecture Design. - Jiamou Liu; Ziheng Wei (ICTAC, 2015)

Dynamic algorithms for monotonic interval scheduling problem. - Alexander Gavruskin; Bakhadyr Khoussainov; Mikhail Kokho; Jiamou Liu (Theor. Comput. Sci., 2015)

Togetherness: An algorithmic approach to network integration. - Anastasia Moskvina; Jiamou Liu (ASONAM, 2016)

Integrating Networks of Equipotent Nodes. - Anastasia Moskvina; Jiamou Liu (CSoNet, 2016)

Measuring Structural Resilience through a Carrier Network Model. - Ziheng Wei; Jiamou Liu (DASC/PiCom/DataCom/CyberSciTech, 2016)

How to Build Your Network? A Structural Analysis. - Anastasia Moskvina; Jiamou Liu (IJCAI, 2016)

Towards Exposing Cyberstalkers in Online Social Networks. - Jiamou Liu; Yingying Tao; Quan Bai 001 (PRICAI, 2016)

Decision Problems for Finite Automata over Infinite Algebraic Structures. - Bakhadyr Khoussainov; Jiamou Liu (CIAA, 2016)

Dynamic Algorithms for Multimachine Interval Scheduling Through Analysis of Idle Intervals. - Alex Gavryushkin; Bakhadyr Khoussainov; Mikhail Kokho; Jiamou Liu (Algorithmica, 2016)

Hierarchies, ties and power in organizational networks: model and analysis. - Jiamou Liu; Anastasia Moskvina (Soc. Netw. Anal. Min., 2016)

Network, Popularity and Social Cohesion: A Game-Theoretic Approach. - Jiamou Liu; Ziheng Wei (AAAI, 2017)

From Secrete Admirer to Cyberstalker: A Measure of Online Interpersonal Surveillance. - Zijian Zhang 001; Jiamou Liu; Ziheng Wei; Yingying Tao; Quan Bai 001 (ASONAM, 2017)

What Becomes of the Broken Hearted?: An Agent-Based Approach to Self-Evaluation, Interpersonal Loss, and Suicide Ideation. - Jiamou Liu; Luqi Li; Kyle Russell (AAMAS, 2017)

Contextual Keys. - Ziheng Wei; Sebastian Link; Jiamou Liu (ER, 2017)

Detecting abnormal attention in online social networks from local views. - Yingying Tao; Quan Bai 001; Jiamou Liu; Hangxia Zhou (ICA, 2017)

A consensus value approach for influence maximization in social networks. - Fang Yang; Hui Wang 053; Yanni Tang; Jiamou Liu; Wu Chen 005 (ICA, 2017)

Facility Location Selection Using Community-Based Single Swap: A Case Study. - Rixin Xu; Zijian Zhang 001; Jiamou Liu; Nathan Situ; Jun Ho Jin (MSN, 2017)

Modeling anomalous attention over an online social network through read/post analytics. - Zijian Zhang 001; Jiamou Liu (SPAC, 2017)

Dynamic Relationship Building: Exploitation Versus Exploration on a Social Network. - Bo Yan; Yang Chen 028; Jiamou Liu (WISE (1), 2017)

Balancing the Pain and Gain of Hobnobbing: Utility-Based Network Building over Atributed Social Networks. - Yijin Cai; Hong Zheng; Jiamou Liu; Bo Yan; Hongyi Su; Yiping Liu (AAMAS, 2018)

From the Periphery to the Core: Information Brokerage in an Evolving Network. - Bo Yan; Yiping Liu; Jiamou Liu; Yijin Cai; Hongyi Su; Hong Zheng (IJCAI, 2018)

Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering. - Helen Jiahe Zhao; Jiamou Liu (IJCNN, 2018)

Improving Influence Maximization from Samples: An Empirical Analysis. - Kexiu Song; Jiamou Liu; Bo Yan; Hongyi Su; Chunxiao Gao (MSN, 2018)

Evaluating and Analyzing Reliability over Decentralized and Complex Networks. - Jaron Mar; Jiamou Liu; Yanni Tang; Wu Chen 005; Tianyi Sun (PAKDD (3), 2018)

Establishing Connections in a Social Network - Radial Versus Medial Centrality Indices. - Yanni Tang; Jiamou Liu; Wu Chen 005; Zhuoxing Zhang (PRICAI (1), 2018)

A Search Optimization Method for Rule Learning in Board Games. - Hui Wang 053; Yanni Tang; Jiamou Liu; Wu Chen 005 (PRICAI, 2018)

An Agent-Based Approach to Simulate Post-earthquake Indoor Crowd Evacuation. - Lin Ni; Vicente González 001; Jiamou Liu; Anass Rahouti; Libo Zhang 006; Bun Por Taing (PRIMA, 2018)

From the Periphery to the Center: Information Brokerage in an Evolving Network. - Bo Yan; Yiping Liu; Jiamou Liu; Yijin Cai; Hongyi Su; Hong Zheng (CoRR, 2018)

Infinite and Bi-infinite Words with Decidable Monadic Theories. - Dietrich Kuske; Jiamou Liu; Anastasia Moskvina (Log. Methods Comput. Sci., 2018)

In Pursuit of Social Capital: Upgrading Social Circle Through Edge Rewiring. - Qian Chen; Hongyi Su; Jiamou Liu; Bo Yan; Hong Zheng; He Zhao (APWeb/WAIM (1), 2019)

Becoming gatekeepers together with allies: collaborative brokerage over social networks. - Yang Chen 028; Jiamou Liu (ASONAM, 2019)

To be Big Picture Thinker or Detail-Oriented?: Utilizing Perceived Gist Information to Achieve Efficient Convention Emergence with Bilateralism and Multilateralism. - Shuyue Hu; Chin-wing Leung; Ho-fung Leung; Jiamou Liu (AAMAS, 2019)

On the Maximization of Influence Over an Unknown Social Network. - Bo Yan; Kexiu Song; Jiamou Liu; Fanku Meng; Yiping Liu; Hongyi Su (AAMAS, 2019)

Distributed Community Detection over Blockchain Networks Based on Structural Entropy. - Yang Chen 028; Jiamou Liu (BSCI, 2019)

A New Complex Network Robustness Attack Algorithm. - Xinyi Li; Zijian Zhang 001; Jiamou Liu; Keke Gai (BSCI, 2019)

Session details: Session 3: Blockchain-enabled Applications. - Jiamou Liu (BSCI, 2019)

Decentralized Ensemble Learning Based on Sample Exchange among Multiple Agents. - Yong Yu 002; Jia Deng; Yanni Tang; Jiamou Liu; Wu Chen 005 (BSCI, 2019)

How to Improve the Cohesion of a Social Network? A Structural Perspective. - Ruochen Jiang; Jiamou Liu; Wu Chen 005 (CANDAR, 2019)

Maximizing Social Welfare in Fractional Hedonic Games using Shapley Value. - Siyuan Chen; Wei Liu 149; Jiamou Liu; Khí-Uí Soo; Wu Chen 005 (ICA, 2019)

Efficient and Robust Emergence of Conventions through Learning and Staying. - Wei Liu 149; Shuyue Hu; Jiamou Liu; Wu Chen 005; Siyuan Chen; Yong Yu 002 (ICA, 2019)

Establishing Ties with Bounded Capacity and Limited Network Access. - Qian Chen; Hongyi Su; Jiamou Liu; Bo Yan; Hong Zheng (ICIAI, 2019)

Interpersonal Ties and the Social Link Recommendation Problem. - Song Ji; Jiamou Liu (ICSAI, 2019)

Periodic Neural Networks for Multivariate Time Series Analysis and Forecasting. - Nurilla Avazov; Jiamou Liu; Bakhadyr Khoussainov (IJCNN, 2019)

Exploratory Community Detection: Finding Communities in Unknown Networks. - Bo Yan; Fanku Meng; Jiamou Liu; Yiping Liu; Hongyi Su (MSN, 2019)

Summarizing the Slices: Sample-Based Core-Periphery Classification on Complex Networks. - Bo Yan; Wenli Tang; Jiamou Liu; Yiping Liu; Fanku Meng; Hongyi Su (MSN, 2019)

REM: From Structural Entropy to Community Structure Deception. - Yiwei Liu; Jiamou Liu; Zijian Zhang 001; Liehuang Zhu; Angsheng Li (NeurIPS, 2019)

Time-Efficient Network Monitoring Through Confined Search and Adaptive Evaluation. - Qifu Hu; Angsheng Li; Jiamou Liu; Jun Liu (PRICAI (2), 2019)

A Reinforcement Learning Approach to Gaining Social Capital with Partial Observation. - He Zhao; Hongyi Su; Yang Chen 028; Jiamou Liu; Hong Zheng; Bo Yan (PRICAI (1), 2019)

Can Reinforcement Learning Enhance Social Capital? - He Zhao; Hongyi Su; Yang Chen 028; Jiamou Liu; Bo Yan; Hong Zheng (WISE Workshops, 2019)

Optimizing the restoration performance of deduplication systems through an energy-saving data layout. - Fang Yan; Xi Yang 005; Jiamou Liu; Hengliang Tang; Yu-an Tan 001; Yuanzhang Li 001 (Ann. des Télécommunications, 2019)

An Efficient and Accurate Nonintrusive Load Monitoring Scheme for Power Consumption. - Jialing He; Zijian Zhang 001; Liehuang Zhu; Zhesi Zhu; Jiamou Liu; Keke Gai (IEEE Internet Things J., 2019)

HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention. - Qiming Bao 001; Lin Ni; Jiamou Liu (ACSW, 2020)

Social Capital Games as A Framework for Social Structural Pattern Emergence. - Yang Chen 028; Jiamou Liu (ASONAM, 2020)

Social Structure Emergence: A Multi-agent Reinforcement Learning Framework for Relationship Building. - Yang Chen 028; Jiamou Liu; He Zhao; Hongyi Su (AAMAS, 2020)

Whispers on Ethereum: Blockchain-based Covert Data Embedding Schemes. - Shaoyuan Liu; Zhi Fang; Feng Gao 019; Bakh Khoussainov; Zijian Zhang 001; Jiamou Liu; Liehuang Zhu (BSCI, 2020)

Network Embedding Based On Structural Information Entropy: Network embedding. - Bo Yan; Hao Zhong; Yiping Liu; Jiamou Liu; Hongyi Su; Hong Zheng; Sheng Zhang (BSCI, 2020)

Incentive Mechanism for Social Network Data Pricing under Privacy Preservation. - Mengxiao Zhang; Fernando Beltrán; Jiamou Liu (BSCI, 2020)

On the Use of Dictionary Learning in Time Series Imputation. - Xiaomeng Zheng; Bogdan Dumitrescu; Jiamou Liu; Ciprian Doru Giurcaneanu (EUSIPCO, 2020)

What's in a Gist? Towards an Unsupervised Gist Representation for Few-Shot Large Document Classification. - Jaron Mar; Jiamou Liu (PAKDD (1), 2020)

Selling Data at an Auction under Privacy Constraints. - Mengxiao Zhang; Fernando Beltrán; Jiamou Liu (UAI, 2020)

WiPOS: A POS Terminal Password Inference System Based on Wireless Signals. - Zijian Zhang 001; Nurilla Avazov; Jiamou Liu; Bakh Khoussainov; Xin Li 033; Keke Gai; Liehuang Zhu (IEEE Internet Things J., 2020)

Blockchain-based anomaly detection of electricity consumption in smart grids. - Meng Li 006; Keli Zhang; Jiamou Liu; Hanxiao Gong; Zijian Zhang 001 (Pattern Recognit. Lett., 2020)

Zero-to-Stable Driver Identification: A Non-Intrusive and Scalable Driver Identification Scheme. - Mussadiq Abdul Rahim; Liehuang Zhu; Xin Li 033; Jiamou Liu; Zijian Zhang 001; Zhan Qin; Salabat Khan; Keke Gai (IEEE Trans. Veh. Technol., 2020)

Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders. - Bin Sun 004; Shaoxiong Feng; Yiwei Li 001; Jiamou Liu; Kan Li 001 (ACL/IJCNLP (1), 2021)

Space Meets Time: Local Spacetime Neural Network For Traffic Flow Forecasting. - Song Yang 001; Jiamou Liu; Kaiqi Zhao 001 (ICDM, 2021)

From Local to Global Norm Emergence: Dissolving Self-reinforcing Substructures with Incremental Social Instruments. - Yiwei Liu; Jiamou Liu; Kaibin Wan; Zhan Qin; Zijian Zhang 001; Bakhadyr Khoussainov; Liehuang Zhu (ICML, 2021)

Attacking Community Detectors: Mislead Detectors via Manipulating the Graph Structure. - Kaibin Wan; Jiamou Liu; Yiwei Liu; Zijian Zhang 001; Bakhadyr Khoussainov (MobiCASE, 2021)

Improving Togetherness Using Structural Entropy. - Siyu Zhang; Jiamou Liu; Yiwei Liu; Zijian Zhang 001; Bakhadyr Khoussainov (MobiCASE, 2021)

Exploring active attacks for three incorrect implementations of the ISO/IEC 9798 in satellite networks. - Zhengjia Zhu; Hao Yin; Zijian Zhang 001; Tielei Li; Jiamou Liu; Bakh Khoussainov; Chang Xu 004 (Comput. Commun., 2021)

Maximum Entropy Inverse Reinforcement Learning for Mean Field Games. - Yang Chen 028; Jiamou Liu; Bakhadyr Khoussainov (CoRR, 2021)

GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series. - Sikai Zhang; Hong Zheng; Hongyi Su; Bo Yan; Jiamou Liu; Song Yang 001 (CoRR, 2021)

Exchange, adopt, evolve: Modeling the spreading of opinions through cognition and interaction in a social network. - Yanni Tang; Jiamou Liu; Wu Chen 005 (Inf. Sci., 2021)

On improving knowledge graph facilitated simple question answering system. - Xin Li 033; Hongyu Zang; Xiaoyun Yu; Hao Wu 066; Zijian Zhang 001; Jiamou Liu; Mingzhong Wang (Neural Comput. Appl., 2021)

The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China. - Jinyang Dong; Jiamou Liu; Tiezhong Liu (Scientometrics, 2021)

Gist Trace-based Learning: Efficient Convention Emergence from Multilateral Interactions. - Shuyue Hu; Chin-Wing Leung; Ho-fung Leung; Jiamou Liu (ACM Trans. Auton. Adapt. Syst., 2021)

Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing. - Wu Chen 005; Yong Yu 002; Keke Gai; Jiamou Liu; Kim-Kwang Raymond Choo (ACM Trans. Internet Techn., 2021)

DeepQR: Neural-Based Quality Ratings for Learnersourced Multiple-Choice Questions. - Lin Ni; Qiming Bao 001; Xiaoxuan Li 001; Qianqian Qi 001; Paul Denny 001; Jim Warren; Michael Witbrock; Jiamou Liu (AAAI, 2022)

Individual-Level Inverse Reinforcement Learning for Mean Field Games. - Yang Chen 028; Libo Zhang 006; Jiamou Liu; Shuyue Hu (AAMAS, 2022)

Residual Entropy-based Graph Generative Algorithms. - Wencong Liu; Jiamou Liu; Zijian Zhang 001; Yiwei Liu; Liehuang Zhu (AAMAS, 2022)

TaKG: A New Dataset for Paragraph-level Table-to-Text Generation Enhanced with Knowledge Graphs. - Qianqian Qi 001; Zhenyun Deng; Yonghua Zhu; Lia Jisoo Lee; Michael Witbrock; Jiamou Liu (AACL/IJCNLP (Findings), 2022)

From Cognitive to Computational Modeling: Text-based Risky Decision-Making Guided by Fuzzy Trace Theory. - Jaron Mar; Jiamou Liu (NAACL-HLT (Findings), 2022)

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation. - Qiming Bao 001; Alex Yuxuan Peng; Tim Hartill; Neset Tan; Zhenyun Deng; Michael Witbrock; Jiamou Liu (NeSy, 2022)

Interconnected Neural Linear Contextual Bandits with UCB Exploration. - Yang Chen 028; Miao Xie; Jiamou Liu; Kaiqi Zhao 001 (PAKDD (1), 2022)

An Anomaly Detection Framework for System Logs Based on Ensemble Learning. - Wenjing Xiong; Wu Chen 005; Jiamou Liu; Kaiqi Zhao 001 (PRICAI (1), 2022)

GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation. - Song Yang 001; Jiamou Liu; Kaiqi Zhao 001 (SIGIR, 2022)

A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation. - Sajjad Hassanpour; Vicente González 001; Jiamou Liu; Yang Zou; Guillermo Cabrera-Guerrero (Adv. Eng. Informatics, 2022)

Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification. - Jaron Mar; Jiamou Liu (CoRR, 2022)

Centralization Problem for Opinion Convergence in Decentralized Networks. - Yiping Liu; Jiamou Liu; Bakhadyr Khoussainov; Miao Qiao; Bo Yan (CoRR, 2022)

Multivariate Time Series Imputation: An Approach Based on Dictionary Learning. - Xiaomeng Zheng; Bogdan Dumitrescu; Jiamou Liu; Ciprian Doru Giurcaneanu (Entropy, 2022)

THINK: A novel conversation model for generating grammatically correct and coherent responses. - Bin Sun 004; Shaoxiong Feng; Yiwei Li 001; Jiamou Liu; Kan Li 001 (Knowl. Based Syst., 2022)

Dictionary learning for signals in additive noise with generalized Gaussian distribution. - Xiaomeng Zheng; Bogdan Dumitrescu; Jiamou Liu; Ciprian Doru Giurcaneanu (Signal Process., 2022)

MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model. - Jialing He; Jiamou Liu; Zijian Zhang 001; Yang Chen 028; Yiwei Liu; Bakh Khoussainov; Liehuang Zhu (AAAI, 2023)

USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network. - Yifei Wang 003; Yupan Wang; Zeyu Zhang 004; Song Yang 001; Kaiqi Zhao 001; Jiamou Liu (AAAI, 2023)

Centralization Problem for Opinion Convergence in Decentralized Networks. - Yiping Liu; Jiamou Liu; Bakh Khoussainov; Miao Qiao; Bo Yan; Mengxiao Zhang (ASONAM, 2023)

Adversarial Inverse Reinforcement Learning for Mean Field Games. - Yang Chen 028; Libo Zhang 006; Jiamou Liu; Michael Witbrock (AAMAS, 2023)

Differentially Private Diffusion Auction: The Single-unit Case. - Fengjuan Jia; Mengxiao Zhang; Jiamou Liu; Bakh Khoussainov (AAMAS, 2023)

Learning Density-Based Correlated Equilibria for Markov Games. - Libo Zhang 006; Yang Chen 028; Toru Takisaka; Bakh Khoussainov; Michael Witbrock; Jiamou Liu (AAMAS, 2023)

Boosting QA Performance Through SA-Net and AA-Net with the Read+Verify Framework. - Liang Tang; Qianqian Qi 001; Qinghua Shang; Yuguang Cai; Jiamou Liu; Michael Witbrock; Kaokao Lv (AusDM, 2023)

Multi-Unit Auction over a Social Network. - Yuan Fang; Mengxiao Zhang; Jiamou Liu; Bakh Khoussainov; Mingyu Xiao 001 (ECAI, 2023)

Integrated Private Data Trading Systems for Data Marketplaces. - Weidong Li; Mengxiao Zhang; Libo Zhang 006; Jiamou Liu (ECAI, 2023)

A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge. - Qianqian Qi 001; Qiming Bao 001; Alex Yuxuan Peng; Jiamou Liu; Michael Witbrock (Tiny Papers @ ICLR, 2023)

MaD: A Dataset for Interview-based BPM in Business Process Management. - Xiaoxuan Li 001; Lin Ni; Renee Li; Jiamou Liu; Mengxiao Zhang (IJCNN, 2023)

SupConFL: Fault Localization with Supervised Contrastive Learning. - Wei Chen; Wu Chen 005; Jiamou Liu; Kaiqi Zhao 001; Mingyue Zhang 002 (Internetware, 2023)

STF: Spatial Temporal Fusion for Trajectory Prediction. - Pengqian Han; Partha S. Roop; Jiamou Liu; Tianzhe Bao; Yifei Wang 003 (M2VIP, 2023)

LGLog: Semi-supervised Graph Representation Learning for Anomaly Detection based on System Logs. - Jialong Liu; Yanni Tang; Jiamou Liu; Kaiqi Zhao 001; Wu Chen 005 (QRS, 2023)

Graph-Based Log Anomaly Detection via Adversarial Training. - Zhangyue He; Yanni Tang; Kaiqi Zhao 001; Jiamou Liu; Wu Chen 005 (SETTA, 2023)

Contrastive Learning for Signed Bipartite Graphs. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Song Yang 001; Xianda Zheng; Yifei Wang 003 (SIGIR, 2023)

Incentivising Diffusion while Preserving Differential Privacy. - Fengjuan Jia; Mengxiao Zhang; Jiamou Liu; Bakh Khoussainov (UAI, 2023)

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. - Zeyu Zhang 004; Jiamou Liu; Xianda Zheng; Yifei Wang 003; Pengqian Han; Yupan Wang; Kaiqi Zhao 001; Zijian Zhang 001 (WWW, 2023)

Zero-Knowledge Proof-based Practical Federated Learning on Blockchain. - Zhibo Xing; Zijian Zhang 001; Meng Li 006; Jiamou Liu; Liehuang Zhu; Giovanni Russello; Muhammad Rizwan Asghar (CoRR, 2023)

Fairness in Ranking Supermartingales. - Toru Takisaka; Libo Zhang 006; Changjiang Wang; Jiamou Liu (CoRR, 2023)

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Michael Witbrock; Jiamou Liu (CoRR, 2023)

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. - Qiming Bao 001; Juho Leinonen 001; Alex Yuxuan Peng; Wanjun Zhong; Tim Pistotti; Alice Huang; Paul Denny 001; Michael Witbrock; Jiamou Liu (CoRR, 2023)

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks. - Qiming Bao 001; Gaël Gendron; Alex Yuxuan Peng; Wanjun Zhong; Neset Tan; Yang Chen 028; Michael Witbrock; Jiamou Liu (CoRR, 2023)

SGA: A Graph Augmentation Method for Signed Graph Neural Networks. - Zeyu Zhang 004; Shuyan Wan; Sijie Wang; Xianda Zheng; Xinrui Zhang; Kaiqi Zhao 001; Jiamou Liu; Dong Hao (CoRR, 2023)

CSG: Curriculum Representation Learning for Signed Graph. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Yifei Wang 003; Pengqian Han; Xianda Zheng; Qiqi Wang 005; Zijian Zhang 001 (CoRR, 2023)

Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey. - Zhibo Xing; Zijian Zhang 001; Jiamou Liu; Ziang Zhang; Meng Li 006; Liehuang Zhu; Giovanni Russello (CoRR, 2023)

S-T CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction. - Pengqian Han; Jiamou Liu; Jialing He; Zeyu Zhang 004; Song Yang 001; Yanni Tang; Partha S. Roop (CoRR, 2023)

SmartAuction: A blockchain-based secure implementation of private data queries. - Mengxiao Zhang; Jiamou Liu; Kaiyu Feng; Fernando Beltrán; Zijian Zhang 001 (Future Gener. Comput. Syst., 2023)

Incorporation of BIM-based probabilistic non-structural damage assessment into agent-based post-earthquake evacuation simulation. - Sajjad Hassanpour; Vicente A. González; Yang Zou; Jiamou Liu; Feng Wang; Enrique del Rey Castillo; Guillermo Cabrera-Guerrero (Adv. Eng. Informatics, 2023)

A Survey of Data Pricing for Data Marketplaces. - Mengxiao Zhang; Fernando Beltrán; Jiamou Liu (IEEE Trans. Big Data, 2023)

InFocus: Amplifying Critical Feature Influence on Non-Intrusive Load Monitoring Through Self-Attention Mechanisms. - Jialing He; Zijian Zhang 001; Liran Ma; Zhouyu Zhang; Meng Li 006; Bakh Khoussainov; Jiamou Liu; Liehuang Zhu (IEEE Trans. Smart Grid, 2023)

Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables. - Yang Chen 028; Xiao Lin; Bo Yan; Libo Zhang 006; Jiamou Liu; Neset Özkan Tan; Michael Witbrock (AAAI, 2024)

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. - Lin Ni; Sijie Wang; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Paul Denny 001; Jiamou Liu (AAAI, 2024)

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. - Qiming Bao 001; Alex Yuxuan Peng; Zhenyun Deng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Neset Tan; Nathan Young; Yang Chen 028; Yonghua Zhu; Paul Denny 001; Michael Witbrock; et al. (ACL (Findings), 2024)

SKGSum: Structured Knowledge-Guided Document Summarization. - Qiqi Wang 005; Ruofan Wang; Kaiqi Zhao 001; Robert Amor; Benjamin Liu; Jiamou Liu; Xianda Zheng; Zijian Huang 003 (ACL (Findings), 2024)

Behaviour Modelling of Social Animals via Causal Structure Discovery and Graph Neural Networks. - Gaël Gendron; Yang Chen 028; Mitchell Rogers; Yiping Liu; Mihailo Azhar; Shahrokh Heidari; David Arturo Soriano Valdez; Kobe Knowles; Padriac O'Leary; Simon Eyre; Michael Witbrock; Gillian Dobbie; et al. (AAMAS, 2024)

Memory-Based Resilient Control Against Non-cooperation in Multi-agent Flocking. - Mingyue Zhang 002; Nianyu Li; Jialong Li 001; Jiachun Liao; Jiamou Liu (AAMAS, 2024)

Lexicographic Ranking Supermartingales with Lazy Lower Bounds. - Toru Takisaka; Libo Zhang 006; Changjiang Wang; Jiamou Liu (CAV (3), 2024)

Meta-Mechanisms for Combinatorial Auctions over Social Networks. - Yuan Fang; Mengxiao Zhang; Jiamou Liu; Bakh Khoussainov (ECAI, 2024)

Balancing Efficiency with Equality: Auction Design with Group Fairness Concerns. - Fengjuan Jia; Mengxiao Zhang; Jiamou Liu; Bakh Khoussainov (ECAI, 2024)

TP-GNN: Continuous Dynamic Graph Neural Network for Graph Classification. - Jie Liu; Jiamou Liu; Kaiqi Zhao 001; Yanni Tang; Wu Chen 005 (ICDE, 2024)

Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning. - Qiming Bao 001; Gaël Gendron; Alex Yuxuan Peng; Wanjun Zhong; Neset Tan; Yang Chen 028; Michael Witbrock; Jiamou Liu (ICONIP (10), 2024)

Enhancing Data Augmentation with Knowledge-enriched Data Generation via Dynamic Prompt-tuning Method. - Qianqian Qi 001; Qiming Bao 001; Alex Yuxuan Peng; Jiamou Liu; Michael Witbrock (IJCNN, 2024)

Epic-Level Text Generation with LLM through Auto-prompted Reinforcement Learning. - Qianqian Qi 001; Lin Ni; Zhongsheng Wang; Libo Zhang 006; Jiamou Liu; Michael Witbrock (IJCNN, 2024)

ChatLogic: Integrating Logic Programming with Large Language Models for Multi-Step Reasoning. - Zhongsheng Wang; Jiamou Liu; Qiming Bao 001; Hongfei Rong; Jingfeng Zhang (IJCNN, 2024)

Optimizing Resource Distribution Towards Energy Justice in Resilient Smart Grids. - Libo Zhang 006; Yuly Wu; Weidong Li; Song Yang 001; Yang Chen 028; Kaiqi Zhao 001; Jiamou Liu (PKAW, 2024)

Signed Graph Representation Learning: A Survey. - Zeyu Zhang 004; Peiyao Zhao; Xin Li 033; Jiamou Liu; Xinrui Zhang; Junjie Huang; Xiaofeng Zhu (CoRR, 2024)

No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning. - Zhibo Xing; Zijian Zhang 001; Ziang Zhang; Jiamou Liu; Liehuang Zhu; Giovanni Russello (CoRR, 2024)

CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models. - Xiaojun Xiao; Sen Shen; Qiming Bao 001; Hongfei Rong; Kairui Liu; Zhongsheng Wang; Jiamou Liu (CoRR, 2024)

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models. - Sijie Wang; Lin Ni; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Jiamou Liu (Pattern Recognit. Lett., 2024)

A Blockchain-Based Privacy-Preserving Scheme for Sealed-Bid Auction. - Zijian Zhang 001; Xin Lu; Meng Li 006; Jincheng An; Yang Yu 001; Hao Yin; Liehuang Zhu; Yong Liu; Jiamou Liu; Bakh Khoussainov (IEEE Trans. Dependable Secur. Comput., 2024)

Graph-Based Covert Transaction Detection and Protection in Blockchain. - Zhenyu Guo; Xin Li 033; Jiamou Liu; Zijian Zhang 001; Meng Li 006; Jingjing Hu; Liehuang Zhu (IEEE Trans. Inf. Forensics Secur., 2024)

Artifact for "Lexicoraphic Ranking Supermartingales with Lazy Lower Bounds" (CAV 2024). - Toru Takisaka; Libo Zhang 006; Changjiang Wang; Jiamou Liu (Zenodo, 2024)

Artifact for "Lexicographic Ranking Supermartingales with Lazy Lower Bounds" (CAV 2024). - Toru Takisaka; Libo Zhang 006; Changjiang Wang; Jiamou Liu (Zenodo, 2024)

Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. - Qiming Bao 001; Juho Leinonen 001; Alex Yuxuan Peng; Wanjun Zhong; Gaël Gendron; Timothy Pistotti; Alice Huang; Paul Denny 001; Michael Witbrock; Jiamou Liu (AAAI, 2025)

Learning Verified Safe Neural Network Controllers for Multi-Agent Path Finding. - Mingyue Zhang 002; Nianyu Li; Yi Chen; Jialong Li 001; Xiaoyi Zhang; Hengjun Zhao; Jiamou Liu; Wu Chen 005 (AAAI, 2025)

S-RAG: A Novel Audit Framework for Detecting Unauthorized Use of Personal Data in RAG Systems. - Zhirui Zeng; Jiamou Liu; Meng-Fen Chiang; Jialing He; Zijian Zhang 001 (ACL (1), 2025)

Redefining Entity Integration: Theoretical Insights for GNN-Based Recommender Systems. - Yifei Wang 003; Jiayan Zhu; Yao Xu; Xin Li 033; Jiamou Liu (COCOON (2), 2025)

Data Pricing for Graph Neural Networks without Pre-purchased Inspection. - Yiping Liu; Mengxiao Zhang; Jiamou Liu; Song Yang 001 (AAMAS, 2025)

SFedRec: A Federated Learning Framework for Dynamic Session-based Recommendation. - Hexiao Zhang; Yanni Tang; Jiamou Liu; Wu Chen 005 (AAMAS, 2025)

Integrating zero-knowledge proofs into federated learning: a path to on-chain verifiable and privacy-preserving federated learning frameworks. - Chunlei Li; Zhibo Xing; Jiamou Liu; Giovanni Russello; Zhen Li; Yan Wu 014; Meng Li 006; Muhammad Rizwan Asghar (Int. J. Web Inf. Syst., 2025)

Multi-source Multi-level Multi-token Ethereum Dataset and Benchmark Platform. - Haoyuan Li; Mengxiao Zhang; Maoyuan Li; Jianzheng Li; Junyi Yang; Shuangyan Deng; Zijian Zhang 001; Jiamou Liu (CoRR, 2025)

Understanding Financial Reasoning in AI: A Multimodal Benchmark and Error Learning Approach. - Shuangyan Deng; Haizhou Peng; Jiachen Xu; Chunhou Liu; Ciprian Doru Giurcuaneanu; Jiamou Liu (CoRR, 2025)

Situational-Constrained Sequential Resources Allocation via Reinforcement Learning. - Libo Zhang 006; Yang Chen 028; Toru Takisaka; Kaiqi Zhao 001; Weidong Li; Jiamou Liu (CoRR, 2025)

Weak Supervision Techniques towards Enhanced ASR Models in Industry-level CRM Systems. - Zhongsheng Wang; Sijie Wang; Jia Wang; Yung-I Liang; Yuxi Zhang; Jiamou Liu (CoRR, 2025)

Upper Limb Motor Sequence Analysis: From Isolated to Sequential. - Tian-Yu Xiang; Xiao-Hu Zhou; Mei-Jiang Gui; Xiao-Liang Xie; Shiqi Liu 004; Hao Li 077; De-Xing Huang; Jiaxing Wang 001; Yongqiang Tang; Jiamou Liu; Zeng-Guang Hou (IEEE Trans. Ind. Informatics, 2025)

ABSE: Adaptive Baseline Score-Based Election for Leader-Based BFT Systems. - Xuyang Liu; Zijian Zhang 001; Zhen Li; Hao Yin; Meng Li 006; Jiamou Liu; Mauro Conti; Liehuang Zhu (IEEE Trans. Parallel Distributed Syst., 2025)

Inferring Reward Machines and Transition Machines from Partially Observable Markov Decision Processes. - Yuly Wu; Jiamou Liu; Libo Zhang 006 (CoRR, 2025)