MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan (CoRR, 2021)

Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion. - Siyu Yao; Tianzhe Zhao; Fangzhi Xu; Jun Liu 002 (APWeb/WAIM (2), 2022)

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction. - Qika Lin; Jun Liu 002; Fangzhi Xu; Yudai Pan; Yifan Zhu 001; Lingling Zhang 005; Tianzhe Zhao (SIGIR, 2022)

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning. - Fangzhi Xu; Jun Liu 002; Qika Lin; Yudai Pan; Lingling Zhang 005 (SIGIR, 2022)

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning. - Qika Lin; Jun Liu 002; Rui Mao 010; Fangzhi Xu; Erik Cambria (ACL (1), 2023)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (CoRR, 2023)

Fusing topology contexts and logical rules in language models for knowledge graph completion. - Qika Lin; Rui Mao 010; Jun Liu 002; Fangzhi Xu; Erik Cambria (Inf. Fusion, 2023)

Contrastive Graph Representations for Logical Formulas Embedding. - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (IEEE Trans. Knowl. Data Eng., 2023)

MoCA: Incorporating domain pretraining and cross attention for textbook question answering. - Fangzhi Xu; Qika Lin; Jun Liu 002; Lingling Zhang 005; Tianzhe Zhao; Qi Chai; Yudai Pan; Yi Huang; Qianying Wang (Pattern Recognit., 2023)

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. - Kanzhi Cheng; Qiushi Sun; Yougang Chu; Fangzhi Xu; Yantao Li 003; Jianbing Zhang; Zhiyong Wu 003 (ACL (1), 2024)

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering. - Fangzhi Xu; Qika Lin; Tianzhe Zhao; Jiawei Han 010; Jun Liu 002 (ACL (1), 2024)

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. - Fangzhi Xu; Zhiyong Wu 003; Qiushi Sun; Siyu Ren; Fei Yuan 006; Shuai Yuan; Qika Lin; Yu Qiao 001; Jun Liu 002 (ACL (1), 2024)

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction. - Jian Zhang 087; Changlin Yang; Haiping Zhu; Qika Lin; Fangzhi Xu; Jun Liu 002 (LREC/COLING, 2024)

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). - Qika Lin; Jun Liu 002; Lingling Zhang 005; Yudai Pan; Xin Hu; Fangzhi Xu; Hongwei Zeng (ICDE, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text. - Fangzhi Xu; Jun Liu 002; Qika Lin; Tianzhe Zhao; Jian Zhang 087; Lingling Zhang 005 (IEEE Trans. Neural Networks Learn. Syst., 2024)

CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era. - Kanzhi Cheng; Wenpo Song; Jiaxin Fan; Zheng Ma; Qiushi Sun; Fangzhi Xu; Chenyang Yan; Nuo Chen; Jianbing Zhang; Jiajun Chen (ACL (Findings), 2025)

AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. - Chengyou Jia; Minnan Luo; Zhuohang Dang; Qiushi Sun; Fangzhi Xu; Junlin Hu 003; Tianbao Xie; Zhiyong Wu 003 (ACL (Findings), 2025)

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models. - Qika Lin; Tianzhe Zhao; Kai He 001; Zhen Peng 005; Fangzhi Xu; Ling Huang 003; Jingying Ma; Mengling Feng (ACL (1), 2025)

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. - Qiushi Sun; Kanzhi Cheng; Zichen Ding 002; Chuanyang Jin; Yian Wang 003; Fangzhi Xu; Zhenyu Wu; Chengyou Jia; Liheng Chen; Zhoumianze Liu; Ben Kao; Guohao Li 001; et al. (ACL (1), 2025)

φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Jun Liu 002; Qika Lin; Zhiyong Wu 003 (ACL (1), 2025)

Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. - Fangzhi Xu; Hang Yan 010; Chang Ma; Haiteng Zhao; Qiushi Sun; Kanzhi Cheng; Junxian He; Jun Liu 002; Zhiyong Wu 003 (ACL (1), 2025)

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. - Fangzhi Xu; Qiushi Sun; Kanzhi Cheng; Jun Liu 002; Yu Qiao 001; Zhiyong Wu 003 (ACL (1), 2025)

OS-ATLAS: Foundation Action Model for Generalist GUI Agents. - Zhiyong Wu 003; Zhenyu Wu; Fangzhi Xu; Yian Wang 003; Qiushi Sun; Chengyou Jia; Kanzhi Cheng; Zichen Ding 002; Liheng Chen; Paul Pu Liang; Yu Qiao 001 (ICLR, 2025)

Vision-Language Models Can Self-Improve Reasoning via Reflection. - Kanzhi Cheng; Yantao Li 003; Fangzhi Xu; Jianbing Zhang; Hao Zhou; Yang Liu (NAACL (Long Papers), 2025)

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA. - Qika Lin; Kai He 001; Yifan Zhu 001; Fangzhi Xu; Erik Cambria; Mengling Feng (IEEE Trans. Image Process., 2025)

BioMaze: Benchmarking and Enhancing Large Language Models for Biological Pathway Reasoning. - Haiteng Zhao; Chang Ma; Fangzhi Xu; Lingpeng Kong; Zhi-Hong Deng 001 (CoRR, 2025)

MAPS: A Multi-Agent Framework Based on Big Seven Personality and Socratic Guidance for Multimodal Scientific Problem Solving. - Jian Zhang 087; Zhiyuan Wang; Zhangqi Wang; Xinyu Zhang 021; Fangzhi Xu; Qika Lin; Rui Mao 010; Erik Cambria; Jun Liu 002 (CoRR, 2025)

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond. - Fangzhi Xu; Qika Lin; Jiawei Han 010; Tianzhe Zhao; Jun Liu 002; Erik Cambria (IEEE Trans. Knowl. Data Eng., 2025)

ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding. - Muye Huang; Lingling Zhang 005; Jie Ma 001; Han Lai; Fangzhi Xu; Yifei Li 006; Wenjun Wu; Yaqiang Wu; Jun Liu 002 (CoRR, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

Towards Unified Neurosymbolic Reasoning on Knowledge Graphs. - Qika Lin; Fangzhi Xu; Hao Lu 002; Kai He 001; Rui Mao 010; Jun Liu 002; Erik Cambria; Mengling Feng (CoRR, 2025)

MUR: Momentum Uncertainty guided Reasoning for Large Language Models. - Hang Yan 010; Fangzhi Xu; Rongman Xu; Yifei Li 006; Jian Zhang 087; Haoran Luo 001; Xiaobao Wu; Luu Anh Tuan; Haiteng Zhao; Qika Lin; Jun Liu 002 (CoRR, 2025)

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. - Haoran Luo 001; Haihong E; Guanting Chen 004; Qika Lin; Yikai Guo; Fangzhi Xu; Ze-min Kuang; Meina Song; Xiaobao Wu; Yifan Zhu 001; Luu Anh Tuan (CoRR, 2025)