τε2asp : Implementing $ mathcal{TE}$ via Answer Set Programming. - Hai Wan; Yu Ma; Zhanhao Xiao; Yuping Shen (PRICAI, 2012)

Elementary Loops Revisited. - Jianmin Ji; Hai Wan; Peng Xiao 009; Ziwei Huo; Zhanhao Xiao (AAAI, 2014)

Computing General First-Order Parallel and Prioritized Circumscription. - Hai Wan; Zhanhao Xiao; Zhenfeng Yuan; Heng Zhang 006; Yan Zhang 003 (AAAI, 2014)

On Hierarchical Task Networks. - Andreas Herzig; Laurent Perrussel; Zhanhao Xiao (JELIA, 2016)

Refinement of Intentions. - Andreas Herzig; Laurent Perrussel; Zhanhao Xiao; Dongmo Zhang (JELIA, 2016)

Deciding Refinement Relation in Belief-Intention Databases. - Zhanhao Xiao; Andreas Herzig; Laurent Perrussel; Dongmo Zhang (AI*IA, 2017)

Refinement of Intentions. - Zhanhao Xiao (IJCAI, 2017)

Hierarchical Task Network Planning with Task Insertion and State Constraints. - Zhanhao Xiao; Andreas Herzig; Laurent Perrussel; Hai Wan; Xiaoheng Su (IJCAI, 2017)

BDI Logics for BDI Architectures: Old Problems, New Perspectives. - Andreas Herzig; Emiliano Lorini; Laurent Perrussel; Zhanhao Xiao (Künstliche Intell., 2017)

Representation Learning for Classical Planning from Partially Observed Traces. - Zhanhao Xiao; Hai Wan; Hankz Hankui Zhuo; Jinxia Lin; Yanan Liu (CoRR, 2019)

Refining HTN Methods via Task Insertion with Preferences. - Zhanhao Xiao; Hai Wan; Hankz Hankui Zhuo; Andreas Herzig; Laurent Perrussel; Peilin Chen (AAAI, 2020)

Structural Similarity of Boundary Conditions and an Efficient Local Search Algorithm for Goal Conflict Identification. - Hongzhen Zhong; Hai Wan; Weilin Luo; Zhanhao Xiao; Jia Li; Biqing Fang (APSEC, 2020)

Towards Solving the Winograd Schema Challenge: Model-Free, Model-Based and a Spectrum in Between. - Weinan He 001; Zhanhao Xiao (KSEM, 2021)

Gradient-Based Mixed Planning with Discrete and Continuous Actions. - Kebing Jin; Hankz Hankui Zhuo; Zhanhao Xiao; Hai Wan; Subbarao Kambhampati (CoRR, 2021)

Knowledge Compilation Meets Logical Separability. - Junming Qiu; Wenqing Li; Zhanhao Xiao; Quanlong Guan; Liangda Fang; Zhao-Rong Lai; Qian Dong (AAAI, 2022)

LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models. - Yeliang Xiu; Zhanhao Xiao; Yongmei Liu 001 (EMNLP (Findings), 2022)

Gradient-based mixed planning with symbolic and numeric action parameters. - Kebing Jin; Hankz Hankui Zhuo; Zhanhao Xiao; Hai Wan; Subbarao Kambhampati (Artif. Intell., 2022)

TRAC: A Textual Benchmark for Reasoning about Actions and Change. - Weinan He 001; Canming Huang; Zhanhao Xiao; Yongmei Liu 001 (CoRR, 2022)

Learning Visual Planning Models from Partially Observed Images. - Kebing Jin; Zhanhao Xiao; Hankz Hankui Zhuo; Hai Wan; Jiaran Cai (CoRR, 2022)

Exploring the Capacity of Pretrained Language Models for Reasoning about Actions and Change. - Weinan He 001; Canming Huang; Zhanhao Xiao; Yongmei Liu 001 (ACL (1), 2023)

Gradient-Based Mixed Planning with Symbolic and Numeric Action Parameters (Extended Abstract). - Kebing Jin; Hankz Hankui Zhuo; Zhanhao Xiao; Hai Wan; Subbarao Kambhampati (IJCAI, 2023)

H-RNet: Hybrid Relation Network for Few-Shot Learning-Based Hyperspectral Image Classification. - Xiaoyong Liu; Ziyang Dong; Huihui Li; Jinchang Ren; Huimin Zhao 001; Hao Li; Weiqi Chen; Zhanhao Xiao (Remote. Sens., 2023)

On the Gap Between AI-Generated and Human-Written Patent Texts. - Zhanhao Xiao; Wei Hu; Yanqiang Wu; Weiqi Chen; Huihui Li; Xiaoyong Liu (BICS (1), 2024)

Goal-conflict identification based on local search and fast boundary-condition verification based on incremental satisfiability filter. - Weilin Luo; Polong Chen; Hai Wan; Hongzhen Zhong; Shaowei Cai 001; Zhanhao Xiao (J. Syst. Softw., 2024)

On the role of logical separability in knowledge compilation. - Junming Qiu; Wenqing Li; Liangda Fang; Quanlong Guan; Zhanhao Xiao; Zhao-Rong Lai; Qian Dong (Artif. Intell., 2024)

OriMamba: Remote sensing oriented object detection with state space models. - Zhanhao Xiao; Zhenpeng Li; Jingjing Cao; Xiaoyong Liu; Yinying Kong; Zhiguo Du (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Different-layer control of robotic manipulators based on a novel direct-discretization RNN algorithm. - Jinjin Guo; Zhanhao Xiao; Jianhua Guo; Xianglei Hu; Binbin Qiu (Neurocomputing, 2025)

LF-HGRILF: A law-fact heterogeneous graph representation and iterative learning framework for legal judgment prediction. - Yinying Kong; You-Gan Wang; Haodong Deng; Zhanhao Xiao; Yuke Zhang (Knowl. Based Syst., 2025)