Part-of-Speech Sense Matrix Model Experiments in the TREC 2004 Robust Track at ICL, PKU. - Bing Swen; Xue-qiang Lü; Hongying Zan; Qi Su 001; Zhi-guo Lai; Kun Xiang; Jing-he Hu (TREC, 2004)

Using Pointwise Mutual Information to Identify Implicit Features in Customer Reviews. - Qi Su 001; Kun Xiang; Houfeng Wang; Bin Sun; Shiwen Yu (ICCPOL, 2006)

DTMB-GPS software receiver for urban and indoor positioning. - Hong Wu; Yao Chen; Nan Zhang; Kun Xiang; Yingxin Zhao (ICCC, 2012)

A Multi-class Probabilistic Neural Network for Pathogen Classification. - William S. Ford; Kun Xiang; Walker H. Land Jr.; Robert Congdon; Yinglei Li; Omowunmi Sadik (Complex Adaptive Systems, 2013)

Development of a Complex Adaptive PNN System for the Rapid Detection of E.coli. - Yinglei Li; William S. Ford; Kun Xiang; Walker H. Land Jr.; Robert Congdon; Omowunmi Sadik (Complex Adaptive Systems, 2013)

Understanding a moderating effect of physicians' endorsement to online workload: An empirical study in online health-care communities. - Haiyan Yu; Kun Xiang; Jiang Yu (IEEE BigData, 2017)

Random multi-scale kernel-based Bayesian distribution regression learning. - Xue-Mei Dong; Yin-He Gu; Jian Shi; Kun Xiang (Knowl. Based Syst., 2020)

Reputation Analysis Based on Weakly-Supervised Bi-LSTM-Attention Network. - Kun Xiang; Akihiro Fujii (IntelliSys (1), 2021)

A novel weight pruning strategy for light weight neural networks with application to the diagnosis of skin disease. - Kun Xiang; Linlin Peng; Haiqiong Yang; Mingxin Li; Zhongfa Cao; Shancheng Jiang; Gang Qu 004 (Appl. Soft Comput., 2021)

A Novel Rigorous Measurement Model for Big Data Quality Characteristics. - Haochen Zou; Kun Xiang (IEEE Big Data, 2022)

Sentiment Classification Method Based on Blending of Emoticons and Short Texts. - Haochen Zou; Kun Xiang (Entropy, 2022)

Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection. - Kun Xiang; Xing Zhang; Jinwen She; Jinpeng Liu; Haohan Wang; Shiqi Deng; Shancheng Jiang (AAAI, 2023)

UAV-Assisted MEC System Considering UAV Trajectory and Task Offloading Strategy. - Kun Xiang; Yejun He (ICC, 2023)

HAMCap: A Weak-Supervised Hybrid Attention-Based Capsule Neural Network for Fine-Grained Climate Change Debate Analysis. - Kun Xiang; Akihiro Fujii (Big Data Cogn. Comput., 2023)

DARE: Distill and Reinforce Ensemble Neural Networks for Climate-Domain Processing. - Kun Xiang; Akihiro Fujii (Entropy, 2023)

ASAUN-CS: Adaptive Stage Activated Unfolding Network for Compressive Sensing. - Jian Yang; Kun Xiang; Haixin Wang; Yibo Fan; Jinjia Zhou (ISCAS, 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CoRR, 2024)

AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning. - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Jianhua Han; Lanqing Hong; Hang Xu 004; et al. (CoRR, 2024)

A prior knowledge-guided distributionally robust optimization-based adversarial training strategy for medical image classification. - Shancheng Jiang; Zehui Wu; Haiqiong Yang; Kun Xiang; Weiping Ding 001; Zhen-Song Chen 002 (Inf. Sci., 2024)

Task Scheduling and Trajectory Optimization Based on Fairness and Communication Security for Multi-UAV-MEC System. - Yejun He; Kun Xiang; Xiaowen Cao; Mohsen Guizani (IEEE Internet Things J., 2024)

EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions. - Kai Chen; Yunhao Gou; Runhui Huang; Zhili Liu; Daxin Tan; Jing Xu; Chunwei Wang; Yi Zhu; Yihan Zeng; Kuo Yang; Dingdong Wang; Kun Xiang; et al. (CVPR, 2025)

Can Atomic Step Decomposition Enhance the Self-structured Reasoning of Multimodal Large Models? - Kun Xiang; Zhili Liu; Zihao Jiang 005; Yunshuang Nie; Kaixin Cai; Yiyang Yin; Runhui Huang; Haoxiang Fan; Hanhui Li; Weiran Huang 001; Yihan Zeng; Yu-Jie Yuan; et al. (CoRR, 2025)

SeePhys: Does Seeing Help Thinking? - Benchmarking Vision-Based Physics Reasoning. - Kun Xiang; Heng Li; Terry Jingchen Zhang; Yinya Huang; Zirong Liu; Peixin Qu; Jixi He; Jiaqi Chen; Yu-Jie Yuan; Jianhua Han; Hang Xu 004; Hanhui Li; et al. (CoRR, 2025)