Chinese text sentiment orientation identification based on Chinese-characters. - Qiujun Lan; Weikang Li; Wenxing Liu (FSKD, 2015)

ICL00 at the NTCIR-12 STC Task: Semantic-based Retrieval Method of Short Texts. - Weikang Li; Yixiu Wang; Yunfang Wu (NTCIR, 2016)

A Unified Model for Document-Based Question Answering Based on Human-Like Reading Strategy. - Weikang Li; Wei Li 101; Yunfang Wu (AAAI, 2018)

Learning Universal Sentence Representations with Mean-Max Attention Autoencoder. - Minghua Zhang; Yunfang Wu; Weikang Li; Wei Li 101 (EMNLP, 2018)

Neural Question Generation with Semantics of Question Type. - Xiaozheng Dong; Yu Hong 001; Xin Chen; Weikang Li; Min Zhang 005; Qiaoming Zhu (NLPCC (2), 2018)

Improving Cross-Domain Chinese Word Segmentation with Word Embeddings. - Yuxiao Ye; Weikang Li; Yue Zhang 004; Likun Qiu; Jian Sun 021 (NAACL-HLT (1), 2019)

Document-Based Question Answering Improves Query-Focused Multi-document Summarization. - Weikang Li; Xingxing Zhang 002; Yunfang Wu; Furu Wei; Ming Zhou 001 (NLPCC (2), 2019)

Exploiting WordNet Synset and Hypernym Representations for Answer Selection. - Weikang Li; Yunfang Wu (AACL/IJCNLP, 2020)

Updating the Reduct in Fuzzy β-Covering via Matrix Approaches While Adding and Deleting Some Objects of the Universe. - Jianxin Huang; Peiqiu Yu; Weikang Li (Inf., 2020)

Design and research of fingerprint positioning scheme based on indoor Bluetooth technology. - Huiqing Zhang; Weikang Li (EITCE, 2021)

Multi-stage Multi-modal Pre-training for Video Representation. - Chunquan Chen; Lujia Bao; Weikang Li; Xiaoshuai Chen; Xinghai Sun; Chao Qi (NLPCC (2), 2021)

Quantum Private Distributed Learning Through Blind Quantum Computing. - Weikang Li; Sirui Lu; Dong-Ling Deng (CoRR, 2021)

Recent advances for quantum classifiers. - Weikang Li; Dong-Ling Deng (CoRR, 2021)

Matrix representation of optimal scale for generalized multi-scale decision table. - Weikang Li; Jianxin Huang; Jinjin Li 001; Weizhong Dai (J. Ambient Intell. Humaniz. Comput., 2021)

A new rough set model based on multi-scale covering. - Weikang Li; Jinjin Li 001; Jianxin Huang; Weizhong Dai; Xiaoping Zhang (Int. J. Mach. Learn. Cybern., 2021)

Driver Violation Prediction based on Neural Network. - Xingguang Zhu; Jiajun Chang; Weikang Li; Bin Yu 008; Liang Zhao 021; Xiaobing Wang (DSA, 2022)

Overview of the NLPCC 2022 Shared Task on Multimodal Product Summarization. - Haoran Li 001; Peng Yuan 002; Haoning Zhang; Weikang Li; Song Xu 002; Youzheng Wu; Xiaodong He 001 (NLPCC (2), 2022)

A new mechanism of rule acquisition based on covering rough sets. - Xiaoping Zhang; Jinjin Li; Weikang Li (Appl. Intell., 2022)

Quantum Capsule Networks. - Zidu Liu; Pei-Xin Shen; Weikang Li; Lu-Ming Duan; Dong-Ling Deng (CoRR, 2022)

Quantum Neural Network Classifiers: A Tutorial. - Weikang Li; Zhide Lu; Dong-Ling Deng (CoRR, 2022)

Enhancing Quantum Adversarial Robustness by Randomized Encodings. - Weiyuan Gong; Dong Yuan 007; Weikang Li; Dong-Ling Deng (CoRR, 2022)

Experimental quantum adversarial learning with programmable superconducting qubits. - Wenhui Ren; Weikang Li; Shibo Xu; Ke Wang; Wenjie Jiang; Feitong Jin; Xuhao Zhu; Jiachen Chen; Zixuan Song; Pengfei Zhang; Hang Dong; Xu Zhang; et al. (Nat. Comput. Sci., 2022)

Blockchain-based Model for Privacy-enhanced Data Sharing. - Weikang Li; Yong Li 019; Changqing Zheng; Ruiqi He (DSA, 2023)

Expressibility-induced Concentration of Quantum Neural Tangent Kernels. - Li-Wei Yu; Weikang Li; Qi Ye; Zhide Lu; Zizhao Han; Dong-Ling Deng (CoRR, 2023)

Differential diagnosis of prostate cancer and benign prostatic hyperplasia based on DCE-MRI using bi-directional CLSTM deep learning and radiomics. - Yang Zhang; Weikang Li; Zhao Zhang; Yingnan Xue; Yan-Lin Liu; Ke Nie; Min-Ying Su; Qiong Ye (Medical Biol. Eng. Comput., 2023)

Heart Rate Monitoring Using FMCW Radar with Dilated Convolutions and Residual Blocks. - Weikang Li; Wenbin Ye 001 (ICTA, 2024)

Quantum-Classical Separations in Shallow-Circuit-Based Learning with and without Noises. - Zhihan Zhang; Weiyuan Gong; Weikang Li; Dong-Ling Deng (CoRR, 2024)

Probing many-body Bell correlation depth with superconducting qubits. - Ke Wang; Weikang Li; Shibo Xu; Mengyao Hu; Jiachen Chen; Yaozu Wu; Chuanyu Zhang; Feitong Jin; Xuhao Zhu; Yu Gao; Ziqi Tan; Aosai Zhang; et al. (CoRR, 2024)

Quantum delegated and federated learning via quantum homomorphic encryption. - Weikang Li; Dong-Ling Deng (CoRR, 2024)

Extracting reliable quantum outputs for noisy devices. - Weikang Li; Dong-Ling Deng (Nat. Comput. Sci., 2024)

Quantum automated learning with provable and explainable trainability. - Qi Ye; Shuangyue Geng; Zizhao Han; Weikang Li; L.-M. Duan; Dong-Ling Deng (CoRR, 2025)

Solving excited states for long-range interacting trapped ions with neural networks. - Yixuan Ma; Chang Liu; Weikang Li; Shun-Yao Zhang; L.-M. Duan; Yukai Wu; Dong-Ling Deng (CoRR, 2025)

PAIRS: Parametric-Verified Adaptive Information Retrieval and Selection for Efficient RAG. - Wang Chen; Guanqiang Qi; Weikang Li; Yang Li; Deguo Xia; Jizhou Huang (CoRR, 2025)

Cross-LoRA: A Data-Free LoRA Transfer Framework across Heterogeneous LLMs. - Feifan Xia; Mingyang Liao; Yuyang Fang; Defang Li; Yantong Xie; Weikang Li; Yang Li; Deguo Xia; Jizhou Huang (CoRR, 2025)

MSARL: Decoupling Reasoning and Tool Use with Multi-Small-Agent Reinforcement Learning. - Dayu Wang; Jiaye Yang; Weikang Li; Jiahui Liang; Yang Li (CoRR, 2025)