There exist correlations between editing behaviors and hyperlinks structure in Wikipedia. - Haisu Zhang; Liwei Huang; Deyi Li; Bojin Zheng (GrC, 2011)

From turing machine intelligence to collective intelligence. - Liwei Huang; Haisu Zhang; Guisheng Chen; Yuchao Liu; Deyi Li (CCIS, 2012)

Interaction and Collective Intelligence on the Internet. - Deyi Li; Liwei Huang (TAMC, 2012)

Enhancing recommender systems by incorporating social information. - Liwei Huang; Guisheng Chen; Yu-Chao Liu; Deyi Li (J. Zhejiang Univ. Sci. C, 2013)

Predicting Wikipedia Editor's Editing Interest Based on Factor Graph Model. - Haisu Zhang; Sheng Zhang 014; Zhaolin Wu; Liwei Huang; Yutao Ma (BigData Congress, 2014)

Community discovery and importance analysis in social network. - Guopeng Li; Zhisong Pan; Bo Xiao; Liwei Huang (Intell. Data Anal., 2014)

Social Influence Analysis Based on Modeling Interactions in Dynamic Social Networks: A Case Study. - Liwei Huang; Yutao Ma; Yanbo Liu (ICCCS (2), 2016)

A novel coordinated path planning method using k-degree smoothing for multi-UAVs. - Liwei Huang; Hong Qu; Peng Ji; Xintong Liu; Zhen Fan 005 (Appl. Soft Comput., 2016)

A Method for Predicting Wikipedia Editors' Editing Interest: Based on a Factor Graph Model. - Haisu Zhang; Sheng Zhang 014; Zhaolin Wu; Liwei Huang; Yutao Ma (Int. J. Web Serv. Res., 2016)

Analysis of an epidemiological model with sub-optimal immune reaction and nonlinear incidence rate. - Liwei Huang; Jianhua Pang; Chunmiao Wei; Xun Zhong (ICNC-FSKD, 2017)

Reinforcement Learning for Mobile Robot Obstacle Avoidance Under Dynamic Environments. - Liwei Huang; Hong Qu; Mingsheng Fu; Wu Deng (PRICAI (1), 2018)

Multi-Type UAVs Cooperative Task Allocation Under Resource Constraints. - Liwei Huang; Hong Qu; Lin Zuo (IEEE Access, 2018)

A radio environment map construction scheme with hidden Markov Model based spectrum occupancy prediction. - Liwei Huang; Wei Shao 003; Yan Zhang; Junlin Yang; Yaxiang Liu (HP3C, 2019)

Multi-modal Bayesian embedding for point-of-interest recommendation on location-based cyber-physical-social networks. - Liwei Huang; Yutao Ma; Yanbo Liu; Arun Kumar Sangaiah (Future Gener. Comput. Syst., 2020)

Diagnosis of cervical plexus tumours by high-frequency ultrasonography. - Wenqing Gong; Jing Wang; Liwei Huang; Xu Yang; Dingzhang Chen; Minjuan Zheng (BMC Medical Imaging, 2021)

Position-enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. - Liwei Huang; Yutao Ma; Yanbo Liu; Shuliang Wang 001; Deyi Li (CoRR, 2021)

A deep reinforcement learning-based method applied for solving multi-agent defense and attack problems. - Liwei Huang; Mingsheng Fu; Hong Qu; Siying Wang 002; Shangqian Hu (Expert Syst. Appl., 2021)

A deep reinforcement learning based long-term recommender system. - Liwei Huang; Mingsheng Fu; Fan Li; Hong Qu; Yangjun Liu; Wenyu Chen 001 (Knowl. Based Syst., 2021)

DAN-SNR: A Deep Attentive Network for Social-aware Next Point-of-interest Recommendation. - Liwei Huang; Yutao Ma; Yanbo Liu; Keqing He 002 (ACM Trans. Internet Techn., 2021)

An Attention-Based Spatiotemporal LSTM Network for Next POI Recommendation. - Liwei Huang; Yutao Ma; Shibo Wang; Yanbo Liu (IEEE Trans. Serv. Comput., 2021)

The Design of Epidemic Prevention Robot Based on Deep Learning. - Lizhen Zhang; Guochun Li; Mimi Wang; Ying Zheng; Liwei Huang; Yulin Chen (ICISCAE, 2022)

Cross-locking Enabled Multi-route Fountain Coding for Secure Transmission. - Liwei Huang; Pinyi Ren; Dongyang Xu (VTC Spring, 2022)

Adaptive Noise Aggregation Based Secure Image Transmission over Wireless Fading Channels. - Liwei Huang; Pinyi Ren; Dongyang Xu (WCNC, 2022)

Deep Reinforcement Learning Framework for Category-Based Item Recommendation. - Mingsheng Fu; Anubha Agrawal; Athirai A. Irissappane; Jie Zhang 002; Liwei Huang; Hong Qu (IEEE Trans. Cybern., 2022)

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (AAAI, 2023)

Research of Digitization of Analog Signal. - Liwei Huang; Yulin Chen; Hui Huang (ICISCAE, 2023)

Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. - Liwei Huang; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2023)

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. - Wei Fang 006; Yanqi Chen; Jianhao Ding; Zhaofei Yu; Timothée Masquelier; Ding Chen; Liwei Huang; Huihui Zhou; Guoqi Li; Yonghong Tian 001 (CoRR, 2023)

Regularization-Adapted Anderson Acceleration for multi-agent reinforcement learning. - Siying Wang 002; Wenyu Chen 001; Liwei Huang; Fan Zhang 068; Zhitong Zhao; Hong Qu (Knowl. Based Syst., 2023)

A Deep Reinforcement Learning Recommender System With Multiple Policies for Recommendations. - Mingsheng Fu; Liwei Huang; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Hong Qu (IEEE Trans. Ind. Informatics, 2023)

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations. - Liwei Huang; Yutao Ma; Yanbo Liu; Bohong Danny Du; Shuliang Wang 001; Deyi Li (ACM Trans. Inf. Syst., 2023)

PACIFIC: Enhancing Sequential Recommendation via Preference-aware Causal Intervention and Counterfactual Data Augmentation. - Jinpeng Chen 001; Huachen Guan; Huan Li 003; Fan Zhang; Liwei Huang; Guangyao Pang; Xiongnan Jin (CIKM, 2024)

A Multiscale Resonant Spiking Neural Network for Music Classification. - Yuguo Liu; Wenyu Chen 001; Hanwen Liu; Yun Zhang; Liwei Huang; Hong Qu (ICANN (4), 2024)

Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

Spiking Transformer with Experts Mixture. - Zhaokun Zhou; Yijie Lu; Yanhao Jia; Kaiwei Che; Jun Niu; Liwei Huang; Xinyu Shi; Yuesheng Zhu; Guoqi Li; Zhaofei Yu; Li Yuan 007 (NeurIPS, 2024)

QKFormer: Hierarchical Spiking Transformer using Q-K Attention. - Chenlin Zhou; Han Zhang 025; Zhaokun Zhou; Liutao Yu; Liwei Huang; Xiaopeng Fan; Li Yuan 007; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (NeurIPS, 2024)

RGB-guided hyperspectral image super-resolution with deep progressive learning. - Tao Zhang 042; Ying Fu 001; Liwei Huang; Siyuan Li; Shaodi You; Chenggang Yan 001 (CAAI Trans. Intell. Technol., 2024)

Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. - Chenlin Zhou; Han Zhang 025; Liutao Yu; Yumin Ye; Zhaokun Zhou; Liwei Huang; Zhengyu Ma; Xiaopeng Fan; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. - Liutao Yu; Liwei Huang; Chenlin Zhou; Han Zhang 025; Zhengyu Ma; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics. - Liwei Huang; Zhengyu Ma; Liutao Yu; Huihui Zhou; Yonghong Tian 001 (CoRR, 2024)

Efficient Speech Command Recognition Leveraging Spiking Neural Network and Curriculum Learning-based Knowledge Distillation. - Jiaqi Wang; Liutao Yu; Liwei Huang; Chenlin Zhou; Han Zhang; Zhenxi Song; Min Zhang; Zhengyu Ma; Zhiguo Zhang (CoRR, 2024)

Deep-Learning-Based Semantic Segmentation of Remote Sensing Images: A Survey. - Liwei Huang; Bitao Jiang; Shouye Lv; Yanbo Liu; Ying Fu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

CLHHN: Category-aware Lossless Heterogeneous Hypergraph Neural Network for Session-based Recommendation. - Yutao Ma; Zesheng Wang 005; Liwei Huang; Jian Wang 018 (ACM Trans. Web, 2024)

A Distributional Perspective on Multiagent Cooperation With Deep Reinforcement Learning. - Liwei Huang; Mingsheng Fu; Ananya Rao; Athirai A. Irissappane; Jie Zhang 002; Chengzhong Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Graph enhanced spatial-temporal transformer for traffic flow forecasting. - Weishan Kong; Yanni Ju; Shiyuan Zhang; Jun Wang; Liwei Huang; Hong Qu (Appl. Soft Comput., 2025)

Dual-view collaboration fusion on diffusion learning for bundle recommendation. - Jinpeng Chen 001; Jinqing Wang; Fan Zhang; Yuan Cao 003; Kaimin Wei; Liwei Huang; Haoran Zhu; Feifei Kou; Hongben Huang (Inf. Fusion, 2025)

A fully value distributional deep reinforcement learning framework for multi-agent cooperation. - Mingsheng Fu; Liwei Huang; Fan Li; Hong Qu; Chengzhong Xu 001 (Neural Networks, 2025)