Density core-based clustering algorithm with dynamic scanning radius. - Jiang Xie 002; Zhong-Yang Xiong; Yu-Fang Zhang; Yong Feng 002; Jie Ma 001 (Knowl. Based Syst., 2018)

Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer. - Qian Li 024; Qingyuan Hu; Yong Qi; Saiyu Qi; Jie Ma 001; Jian Zhang (IJCAI, 2020)

Jointly Optimized Neural Coreference Resolution with Mutual Attention. - Jie Ma 001; Jun Liu 002; Yufei Li 002; Xin Hu; Yudai Pan; Shen Sun; Qika Lin (WSDM, 2020)

XTQA: Span-Level Explanations of the Textbook Question Answering. - Jie Ma 001; Jun Liu 002; Junjun Li; Qinghua Zheng; Qingyu Yin; Jianlong Zhou; Yi Huang (CoRR, 2020)

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning. - Xin Hu; Jun Liu 002; Jie Ma 001; Yudai Pan; Lingling Zhang 005 (Neural Comput., 2020)

Rule-enhanced iterative complementation for knowledge graph reasoning. - Qika Lin; Jun Liu 002; Yudai Pan; Lingling Zhang 005; Xin Hu; Jie Ma 001 (Inf. Sci., 2021)

Distinguished representation of identical mentions in bio-entity coreference resolution. - Yufei Li 002; Xiangyu Zhou; Jie Ma 001; Xiaoyong Ma; Pengzhen Cheng; Tieliang Gong; Chen Li 011 (BMC Medical Informatics Decis. Mak., 2022)

Weakly Supervised Learning for Textbook Question Answering. - Jie Ma 001; Qi Chai; Jingyue Huang; Jun Liu 002; Yang You 001; Qinghua Zheng (IEEE Trans. Image Process., 2022)

GBTTE: Graph Attention Network Based Bus Travel Time Estimation. - Yuecheng Rong; Juntao Yao; Jun Liu 002; Yifan Fang; Wei Luo; Hao Liu 026; Jie Ma 001; Zepeng Dan; Jinzhu Lin; Zhi Wu; Yan Zhang; Chuanming Zhang (CIKM, 2023)

Adaptive loose optimization for robust question answering. - Jie Ma 001; Pinghui Wang; Zewei Wang; Dechen Kong; Min Hu; Ting Han; Jun Liu 002 (CoRR, 2023)

Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering. - Jie Ma 001; Jun Liu 002; Yaxian Wang; Junjun Li; Tongliang Liu (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multitask Learning for Visual Question Answering. - Jie Ma 001; Jun Liu 002; Qika Lin; Bei Wu; Yaxian Wang; Yang You 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Dynamic dual graph networks for textbook question answering. - Yaxian Wang; Jun Liu 002; Jie Ma 001; Hongwei Zeng; Lingling Zhang 005; Junjun Li (Pattern Recognit., 2023)

Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. - Hongbin Pei; Yu Li; Huiqi Deng; Jingxin Hai; Pinghui Wang; Jie Ma 001; Jing Tao; Yuheng Xiong; Xiaohong Guan (ICML, 2024)

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering. - Jie Ma 001; Min Hu; Pinghui Wang; Wangchun Sun; Lingyun Song; Hongbin Pei; Jun Liu 002; Youtian Du (NeurIPS, 2024)

Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. - Hongbin Pei; Yuheng Xiong; Pinghui Wang; Jing Tao; Jialun Liu; Huiqi Deng; Jie Ma 001; Xiaohong Guan (WWW, 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Lai Han; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (CoRR, 2024)

Investigating unilateral and bilateral motor imagery control using electrocorticography and fMRI in awake craniotomy. - Jie Ma 001; Zhengsheng Li; Qian Zheng; Shichen Li; Rui Zong; Zhizhen Qin; Li Wan; Zhenyu Zhao; Zhiqi Mao; Yanyang Zhang; Xinguang Yu; Hongmin Bai; et al. (NeuroImage, 2024)

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. - Lingyun Song; Xuequn Shang 001; Ruizhi Zhou; Jun Liu 002; Jie Ma 001; Zhanhuai Li; Mingxuan Sun (Neural Networks, 2024)

Diagram Perception Networks for Textbook Question Answering via Joint Optimization. - Jie Ma 001; Jun Liu 002; Qi Chai; Pinghui Wang; Jing Tao (Int. J. Comput. Vis., 2024)

Robust Visual Question Answering: Datasets, Methods, and Future Challenges. - Jie Ma 001; Pinghui Wang; Dechen Kong; Zewei Wang; Jun Liu 002; Hongbin Pei; Junzhou Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

XTQA: Span-Level Explanations for Textbook Question Answering. - Jie Ma 001; Qi Chai; Jun Liu 002; Qingyu Yin; Pinghui Wang; Qinghua Zheng (IEEE Trans. Neural Networks Learn. Syst., 2024)

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding. - Muye Huang; Han Lai; Xinyu Zhang 021; Wenjun Wu; Jie Ma 001; Lingling Zhang 005; Jun Liu 002 (AAAI, 2025)

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Wangchun Sun; Pinghui Wang; Hongbin Pei; Jing Tao; Lingyun Song; Jun Liu 002; Chen Zhang; Lizhen Cui (AAAI, 2025)

FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning. - Jie Ma 001; Zhitao Gao 003; Qi Chai; Jun Liu 002; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 2025)

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs. - Jie Ma 001; Ning Qu; Zhitao Gao 003; Rui Xing; Jun Liu 002; Hongbin Pei; Jiang Xie 002; Linyun Song; Pinghui Wang; Jing Tao; Zhou Su (CoRR, 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)