All Stories

  1. CausalFall: Fall prediction wearing motion sensors from a causal perspective

    Article • Expert Systems with Applications, March 2026, Elsevier

    Professor Li Liu

  2. Measuring cognitive load by a score-based causal network model with multichannel physiological signals

    Article • Neurocomputing, January 2026, Elsevier

    Professor Li Liu

  3. Cross Space and Time: A Spatio-Temporal Unitized Model for Traffic Flow Forecasting

    Article • IEEE Transactions on Intelligent Transportation Systems, November 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  4. CDSF: A curvature-driven semi-supervised framework with dynamic receptive fields for fine-grained vehicle component segmentation

    Article • Knowledge-Based Systems, October 2025, Elsevier

    Professor Li Liu

  5. Enhancing self‐directed learning and Python mastery through integration of a large language model and learning analytics dashboard

    Article • British Journal of Educational Technology, August 2025, Wiley

    Professor Li Liu

  6. Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation

    Article • August 2025, ACM (Association for Computing Machinery)

    Professor Li Liu

  7. A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors

    Article • Expert Systems with Applications, July 2025, Elsevier

    Professor Li Liu

  8. DRM4Rec: A Doubly Robust Matching Approach for Recommender System Evaluation

    Article • Expert Systems with Applications, June 2025, Elsevier

    Professor Li Liu

  9. FER-Former: Multimodal Transformer for Facial Expression Recognition

    Article • IEEE Transactions on Multimedia, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  10. Spatio-Temporal Analysis of Urban Leisure Consumption Activities Based on Autoencoder and Multi-Source Data: A Case Study of Chongqing, China

    Article • IEEE Access, January 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  11. Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference

    Article • IEEE Transactions on Neural Networks and Learning Systems, November 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  12. Workflow Trace Profiling and Execution Time Analysis in Quantitative Verification

    Article • Future Internet, September 2024, MDPI AG

    Professor Li Liu

  13. Multi-attentional causal intervention networks for medical image diagnosis

    Article • Knowledge-Based Systems, September 2024, Elsevier

    Professor Li Liu

  14. A survey of causal discovery based on functional causal model

    Article • Engineering Applications of Artificial Intelligence, July 2024, Elsevier

    Professor Li Liu

  15. A spatio-temporal graph neural network for fall prediction with inertial sensors

    Article • Knowledge-Based Systems, June 2024, Elsevier

    Professor Li Liu

  16. Controllable image generation based on causal representation learning

    Article • Frontiers of Information Technology & Electronic Engineering, January 2024, Journal of Zhejiang University SCIENCE

    Professor Li Liu

  17. Recognizing wearable upper-limb rehabilitation gestures by a hybrid multi-feature neural network

    Article • Engineering Applications of Artificial Intelligence, January 2024, Elsevier

    Professor Li Liu

  18. Causal Discovery Evaluation Framework in the Absence of Ground-Truth Causal Graph

    Article • IEEE Access, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  19. Student-AI Question Cocreation for Enhancing Reading Comprehension

    Article • IEEE Transactions on Learning Technologies, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  20. Pareto Invariant Representation Learning for Multimedia Recommendation

    Article • October 2023, ACM (Association for Computing Machinery)

    Professor Li Liu

  21. MRI Radiomics-Based Machine Learning Models for Ki67 Expression and Gleason Grade Group Prediction in Prostate Cancer

    Article • Cancers, September 2023, MDPI AG

    Professor Li Liu

  22. Counterfactual-based minority oversampling for imbalanced classification

    Article • Engineering Applications of Artificial Intelligence, June 2023, Elsevier

    Professor Li Liu

  23. A review of wearable sensors based fall-related recognition systems

    Article • Engineering Applications of Artificial Intelligence, May 2023, Elsevier

    Professor Li Liu

  24. Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning

    Article • January 2023, Springer Science + Business Media

    Professor Li Liu

  25. The Efficient-CapsNet model for facial expression recognition

    Article • Applied Intelligence, December 2022, Springer Science + Business Media

    Professor Li Liu

  26. Deep learning for image colorization: Current and future prospects

    Article • Engineering Applications of Artificial Intelligence, September 2022, Elsevier

    dr. xin jin, Professor Li Liu

  27. Causality fields in nonlinear causal effect analysis

    Article • Frontiers of Information Technology & Electronic Engineering, August 2022, Journal of Zhejiang University SCIENCE

    Professor Li Liu

  28. A single smartwatch-based segmentation approach in human activity recognition

    Article • Pervasive and Mobile Computing, July 2022, Elsevier

    Professor Li Liu

  29. CMGAN: A generative adversarial network embedded with causal matrix

    Article • Applied Intelligence, March 2022, Springer Science + Business Media

    Professor Li Liu

  30. Quantitative Verification for Monitoring Event-Streaming Systems

    Article • IEEE Transactions on Software Engineering, February 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  31. FIGCI: Flow-Based Information-Geometric Causal Inference

    Article • January 2022, Springer Science + Business Media

    Professor Li Liu

  32. Recognizing diseases with multivariate physiological signals by a DeepCNN-LSTM network

    Article • Applied Intelligence, March 2021, Springer Science + Business Media

    Professor Li Liu

  33. Cropping and attention based approach for masked face recognition

    Article • Applied Intelligence, February 2021, Springer Science + Business Media

    Professor Li Liu

  34. HierHAR: Sensor-Based Data-Driven Hierarchical Human Activity Recognition

    Article • IEEE Sensors Journal, February 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  35. Recognizing Complex Activities by a Temporal Causal Network-Based Model

    Article • January 2021, Springer Science + Business Media

    Professor Li Liu

  36. Recognizing Skeleton-Based Hand Gestures by a Spatio-Temporal Network

    Article • January 2021, Springer Science + Business Media

    Professor Li Liu

  37. A Miniaturized Dual-Slider Linear Actuator Using Electrostatic Adhesion and Inertia Drive

    Article • Actuators, November 2020, MDPI AG

    Professor Li Liu

  38. Locality adaptive preserving projections for linear dimensionality reduction

    Article • Expert Systems with Applications, August 2020, Elsevier

    Professor Li Liu

  39. Wavelet packet analysis for speaker-independent emotion recognition

    Article • Neurocomputing, July 2020, Elsevier

    Professor Li Liu

  40. Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis

    Article • IEEE Access, January 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Professor Li Liu

  41. Finger Gesture Recognition Based on 3D-Accelerometer and 3D-Gyroscope

    Article • January 2019, Springer Science + Business Media

    Professor Li Liu

  42. Group awareness increases student engagement in online collaborative writing

    Article • The Internet and Higher Education, April 2018, Elsevier

    Professor Li Liu

  43. Learning Structures of Interval-Based Bayesian networks in Probabilistic Generative Model for Human Complex Activity Recognition

    Article • Pattern Recognition, April 2018, Elsevier

    Professor Li Liu

  44. Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss

    Article • January 2018, Springer Science + Business Media

    Professor Li Liu

  45. Recognizing Diseases from Physiological Time Series Data Using Probabilistic Model

    Article • January 2018, Springer Science + Business Media

    Professor Li Liu

  46. Gesture Recognition Based on Accelerometer and Gyroscope and Its Application in Medical and Smart Homes

    Article • January 2018, Springer Science + Business Media

    Professor Li Liu

  47. A Survey on Vision-Based Hand Gesture Recognition

    Article • January 2018, Springer Science + Business Media

    Professor Li Liu

  48. Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy

    Article • Multimedia Tools and Applications, November 2017, Springer Science + Business Media

    Professor Li Liu

  49. Predicting Beijing's tertiary industry with an improved grey model

    Article • Applied Soft Computing, August 2017, Elsevier

    Professor Li Liu

  50. Complex activity recognition using time series pattern dictionary learned from ubiquitous sensors

    Article • Information Sciences, May 2016, Elsevier

    Professor Li Liu

  51. An influence power-based clustering approach with PageRank-like model

    Article • Applied Soft Computing, March 2016, Elsevier

    Professor Li Liu

  52. Towards unsupervised physical activity recognition using smartphone accelerometers

    Article • Multimedia Tools and Applications, January 2016, Springer Science + Business Media

    Professor Li Liu

  53. K-PRSCAN: A clustering method based on PageRank

    Article • Neurocomputing, January 2016, Elsevier

    Professor Li Liu, Prof Shiping Chen

  54. Sensor-based human activity recognition system with a multilayered model using time series shapelets

    Article • Knowledge-Based Systems, December 2015, Elsevier

    Professor Li Liu

  55. A Self-Adaptive Hidden Markov Model for Emotion Classification in Chinese Microblogs

    Article • Mathematical Problems in Engineering, January 2015, Hindawi Publishing Corporation

    Professor Li Liu

  56. A Rolling Grey Model Optimized by Particle Swarm Optimization in Economic Prediction

    Article • Computational Intelligence, December 2014, Wiley

    Professor Li Liu

  57. An Intelligence Optimized Rolling Grey Forecasting Model Fitting to Small Economic Dataset

    Article • Abstract and Applied Analysis, January 2014, Hindawi Publishing Corporation

    Professor Li Liu

  58. Ubiquitous awareness and intelligent solutions lab

    Article • January 2011, ACM (Association for Computing Machinery)

    Professor Li Liu