42. W. Lu, J.K. Wang, X. Jin, K.J. Shi, X. Jiang, and H.L. Zhao, “FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing”. IEEE Transactions on Visualization and Computer Graphics (2024).
41. W. Lu, X. Jiang, X. Jin, J.B. Shen, M. Wang, J.K. Lyu, K.J. Shi, and H.L. Zhao, “GRIG: Few-Shot Generative Residual Image Inpainting”. Computational Visual Media (2024).
40. A. Barua, X. Jiang, D. Fuller, “Investigating The Effectiveness of Simple Heuristic Features in Solving Sensor Orientation and Sensor Placement Problems in Human Activity Recognition Using A Single Smartphone Accelerometer”, Biomedical Engineering Online, 23(21), (2024), doi: 10.1186/s12938-024-01213-3
39. J. Wang, W. Lu, Y. Wang, K. Shi, X. Jiang, H. Zhao “TEG: Image Theme Recognition using Text-Embedding-Guided Few-Shot Adaptation”. Journal of Electronic Imaging, 33(1), 013028 (2024), doi: 10.1117/1.JEI.33.1.013028.
38. V. Galaiya, M. Asfour, V. Prado, X. Jiang, “The Efficacy of Temporal Tactile Sensing for Objects' Orientation Prediction during In-hand Manipulation Using an LSTM Network”, Sensors (2023).
37. X. Liu, Y. Zhang, X. Jiang, and B. Zheng, “Human Eyes Move to the Target Earlier When Performing an Aiming Task with Increasing Difficulties”. International Journal of Human Computer Interaction 39(6), 1341-1346, (2023). DOI: https://doi.org/10.1080/10447318.2022.2115190
36. Z. Huang, J. Zheng, L. Zhao, H. Chen, X. Jiang, and X. Zhang, “DL-Net: Sparsity Prior Learning for Grasp Pattern Recognition”, IEEE ACCESS (2023)
35. J. Lu; T. Zou; X. Jiang, A Neural Network Based Approach to Inverse Kinematics Problem for General Six-axis Robots, Sensors ( 2022).
34. M. Asfour, C. Menon, and X.T. Jiang*, “Feature-Classifier Pairing Compatibility for sEMG Signals in Hand Gesture Recognition under Joint Effects of Processing Procedures”. Bioengineering (2022).
33. W. Hu, O. Combden, X.T. Jiang*, S. Buragadda, C. Newell, M. Williams, and M. Ploughman, “Machine Learning corroborates subjective ratings of walking and balance difficulty in Multiple Sclerosis”. Frontiers in Artificial Intelligence (2022).
32. S. Wang, J. Zheng, Z.W. Huang, X. Zhang, V. Prado, B. Zheng, and X.T. Jiang*, “Integrating Computer Vision to Prosthetic Hand Control with sEMG: Preliminary Results in Grasp Classification”. Frontiers in Robotics and AI (2022).
31. X. Liu, Y. Zhang, X.T. Jiang, and B. Zheng, “Human Eyes Move to the Target Earlier When Performing an Aiming Task with Increasing Difficulties”. International Journal of Human Computer Interaction, (2022). DOI: https://doi.org/10.1080/10447318.2022.2115190
30. A. Barua, D. Fuller, M. Bamidele, and X.T. Jiang, “Exploring Orientation Invariant Heuristic Features with Variant Window Length of 1D-CNN-LSTM in Human Activity Recognition”. Biosensors (2022).
29. U. Zakia, A. Barua, X.T. Jiang, and C. Menon, “Unsupervised, Self-Trained FMG-DCGAN Model based Interactive Force Estimations during pHRI”. IEEE Access, online first, (2022).
28. V. Prado, X.T. Jiang, E. Petriu, and T. Avios, “Tactile Object Recognition in Early Phases of Grasping Using Underactuated Robotic Hands”. Intelligence Service Robotics, Springer Nature, pages 1-13, (2022).
27. W. Hu, O. Combden, M. Ploughman, S. Buragadda, C. Newell, M. Williams, and X.T. Jiang, “Machine Learning Classification of Multiple Sclerosis Patients Based on Raw Data From an Instrumented Walkway”. Biomedical Engineering Online (2022).
26. O. Heeb, A. Barua, C. Menon, and X.T. Jiang, “Building Effective Machine Learning Models for Ankle Joint Power Estimation during Walking using FMG Sensors”. Frontiers in Neurorobotics (2022).
25. S. Wang, B. Zheng, and X.T. Jiang, "Phase-Based Grasp Classification for Prosthetic Hand Control Using sEMG". Biosensors, (2022)
24. A. Barua, U. Zakia, C. Menon, and X.T. Jiang, “Deep Learning Techniques in Estimating Ankle Joint Power Using Wearable IMUs”. IEEE Access, (2021).
23. B. Zheng, X.T. Jiang, R. Bednarik , and M.S. Atkins, “Use of Eye-Tracking to Measure Surgical Expertise: What Action-related Eye Measures Are Best?”. BJS Open, (2021).
22. M. Asfour, C. Menon, and X.T. Jiang, “A Machine Learning Processing Pipeline for Elimination of Time Effect on FMG Signals for Hand Gesture Classification”. Sensors, (2021).
21. W. He, X.T. Jiang, and B. Zheng, “Joint Pupil Diameter Changes Reflect Team Performance”. Journal of Simulation, (2021)
20. X.T. Jiang, C. Napier, B. Hannigan, J. J. Eng, and C. Menon, “Estimation Vertical Ground Reaction Force During Walking using a Single Inertial Sensors”. Sensors 20(15), 4345, (2020).
19. S. Lu, Y.P.S. Perdomo, X.T. Jiang, and B. Zheng, “Integrating Eye-Tracking to Augmented Reality System for Surgical Training”. Journal of Medical Systems 44 (11), (2020).
18. C. Napier, X.T. Jiang, C. L. MacLean, C. Menon, M. A. Hunt "The use of a single sacral marker method to approximate the centre of mass trajectory during treadmill running", Journal of Biomechanics: (2020).
17. M. Sakr, X. T. Jiang, C. Menon, “Estimation of User-Applied Isometric Force/Torque using Upper Extremity Force Myography, Front. Robot. AI: (2019).
16. X. T. Jiang, M. Gholami, M. Khoshnam, J. Eng, C. Menon, “Estimation of Ankle Joint Power During Walking using Two Inertial Sensors”, Sensors: (2019).
15. X. T. Jiang, Z.G. Xiao, C. Menon, “Virtual Grasps Recognition using Fusion of Leap Motion and Force Myography”, Virtual Reality: (2018). [URL]
14. X. T. Jiang, H.T. Chu, C. Menon, “A Wearable Gait Phase Detection System Based on Force Myography Techniques”, Sensors: (2018). [URL]
13. H.T. Chu, X. T. Jiang, C. Menon, “Wearable Step Counting using a Force Sensing Resistors Strap on the Ankle”, Journal of Rehabilitation and assistive Engineering: (2017). [URL]
12. G.P. Sadarangani, X.T. Jiang, L. Simpson, J.J. Eng, C. Menon, “Force Myography for Monitoring Grasping in Individuals with Stroke with Mild to Moderate Upper-Extremity Impairments: A Preliminary Investigation in a Controlled Environment”, Frontiers in Bioengineering and Biotechnology. Online-first (2017). [URL]
11. X.T. Jiang, L. Merhi, Z.G. Xiao, C. Menon, “Exploration of Force Myography and surface Electrogyography in Hand Gesture Classification”, Medical Engineering & Physics. 41: 63-73 (2017).
10. X.T. Jiang, L. Merhi, C. Menon, “Force Exertion Affects Grasp Classification using Force Myography”, IEEE Transactions on Human-Machine Systems. (Online first, 2017). [URL]
9. A. Kadkhodayan, X.T. Jiang, and C.Menon, “Continuous Predicting Finger Movements using Force Myography”, Journal of Medical and Biological Engineering: 1-11 (2016). [URL]
8. X.T. Jiang, B. Zheng, R. Bednarik, and M.S. Atkins, “Pupil Responses to Continuous Aiming Movements”, International Journal of Human-Computer Studies 83: 1-11 (2015). [URL]
7. B. Zheng, X.T. Jiang, , and M.S. Atkins,“Detection of Changes in Surgical Difficulty: Evidence from Pupil Responses”, Surgical Innovation 22(6), 629-635 (2014). [URL]
6. X.T. Jiang, B. Zheng, and M.S. Atkins,“Video Processing to Locate the Tooltip Position in Surgical Eye-hand Coordination Tasks”, Surgical Innovation 22(3), 285-293 (2014). [URL]
5. X.T. Jiang, B. Zheng, G. Tien, and M.S. Atkins, “Pupil Response to Precision in Surgical Task Execution”, Studies in Health Technology and Informatics 184, 210 – 214 (2013). [URL] .
4. G. Tien, M.S. Atkins, X.T. Jiang, R. S.A. Khan, and B. Zheng, “Identifying Eye Gaze Mismatch During Laparoscopic Surgery”, Studies in Health Technology and Informatics 184, 453 – 457 (2013). [URL]
3. X.T. Jiang, G. Tien, D. Huang, B. Zheng, and M.S. Atkins, “Capturing and evaluating blinks from video-based eyetrackers”, Behavior Research Methods, 1-8 (2013). [URL] .
2. B. Zheng, X.T. Jiang, G. Tien, A. Meneghetti, O. N. M. Panton, M.S. Atkins, “Workload Assessment of Surgeons: Correlation between NASA TLX and Blinks”, Surgical Endoscopy 26, 2746-2750 (2012). [URL].
1. X. H. Ye, L. Chen, X.T. Jiang, and G. C. Chen, “Physiological Signals based Emotional State Recognition Model of Audience”,Journal of Zhejiang University (Engineering Science), 46(6), 995-1003(2012). [URL].
1. M.N. Victorino, X.T. Jiang, C. Menon, “Wearable Technologies and Force Myography for Healthcare”. Wearable Technologies in Medicine and Healthcare, Elsevier, Chapter 7, 135-152, (2018). [URL]
24. J. Zheng, W. Lu, W. Wang, Y. Cao, X.Q. Zhang, and X. Jiang, “Handling The Non-Smooth Challenge in Tensor SVD: A Multi-Objective Tensor Recovery Framework”. European Conference on Computer Vision 2024 (2024).
23. V. Galaiya, T. de Oliveira, X. Jiang and V. da Fonseca, “Grasp Approach Under Positional Uncertainty Using Compliant Tactile Sensing Modules and Reinforcement Learning”, 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Kingston, ON, Canada (Accepted, 2024).
22. Ziang Wu, X. Jiang, J. Zheng, B. Zheng, and S.M. Atkins, “Measuring Motor Task Difficulty using Low/High Index of Pupillary Activity”. Proceedings of the 2024 Symposium on Eye Tracking Research and Applications, (2024).
21. J. Zheng, J. Hawkin, C. Robertson, A. Howse, Y. Chen, and X. Jiang, “Unsupervised Financial Fraud Detection Using Low-rank Recovery”. The 36th Canadian Conference on Artificial Intelligence, CANAI23 (2023).
20. X. Jiang*, Ziang Wu, J. Zheng, B. Zheng, and S.M. Atkins, “Index Pupil Activity Echoing with Task Difficulty in Fitts’ Law Setting”. Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 1-7 (2023).
19. Y. Wang, W. Lu, H. Zhao, X. Jiang*, B. Zheng, and S.M. Atkins, “Detecting Blinks from Wearable Cameras using Spatial-Temporal-Aware Deep Network Learning”, 8TH International Workshop on Pervasive Eye Tracking and Mobile Eye-based Interaction (2023).
18. J. Zheng, X.Q. Zhang, W. Wang, and X.T. Jiang, “Handling Slice Permutations Variability in Tensor Recovery”. Thirty-Sixth AAAI Conference on Artificial Intelligence (2022).
17.E. Karimi, Y. Chen, B. Akbari, and X.T. Jiang, “An Intelligent Resource Allocation and Scheduling in Vehicular Edge Computing”, Proceedings of the 30th Annual Newfoundland Electrical and Computer Engineering Conference (NECEC 2021), November 18, St. John’s, Canada (2021). WOMEN IN ENGINEERING (WIE) BEST PAPER AWARD.
16. U. Zakia X.T. Jiang, C. Menon, “Deep Learning Technique in Recognizing Hand Grasps Using FMG Signals”, Proceedings of 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2020), November 4-7, Vancouver, Canada (2020).
15. X.T. Jiang, L. Tory, M. Khoshnam, H.T. Chu, C. Menon, “Exploration of Gait Parameters Affecting the Accuracy of Force Myography-Based Gait Phase Detection”, Proceedings of 7th IEEE IEEE RAS/EMBS International Conference on Biomedical (BioRob 2018), August 26-29, Holland, Netherlands (2018). [URL]
14. X.T. Jiang, H.T. Chu, Z.G. Xiao, L. Merhi, C. Menon, “An Easy-to-use Wearable Step Counting Device for Slow Walking using Ankle Force Myography”, Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, October 5-8, Banff, AB, Canada (2017). [URL]
13. H. Shen, S. Pourazadi, X.T. Jiang, C. Menon, “A Priliminary Investigation on A Wearable Sensory System for Lower Leg Swelling Detection”, Proceedings of The 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON 2017), October 3-5, Vancouver, BC, Canada (2017). [URL]
12. J. Schoning, X.T. Jiang, C. Menon, G. Heidemann, “Content-Aware 3D Reconstruction with Gaze Data”, Proceedings of 3rd IEEE International Conference on Cybernetics (CYBCONF 2017), June 21-23, Exeter, UK (2017). [URL]
11. H.W. Ng, X.T. Jiang, L. Merhi, C. Menon, “Investigation of the Feasibility of Strain Gages as Pressure Sensors for Force Myography”, Proceedings of International Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017), April 26-28, Granada, Spain (2017). [URL]
10. X.T. Jiang, H.T. Chu,C. Menon, “Ankle Positions Classification using Force Myography: an Exploratory Investigation”, Proceedings of IEEE-EMBS Special Topic Conference on Point-of-Care (POC) Healthcare Technologies, IEEE-NIH 2016 Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (2016). [URL]
9. A. Ferrone, X.T. Jiang, L. Maiolo, A. Pecora, L. Colace, C. Menon, A.Ferrone, L.Colace, “Fully Wearable Fabric Band for Hand gesture Recognition Based on FSS”, Proceedings of IEEE-EMBS Special Topic Conference on Point-of-Care (POC) Healthcare Technologies, IEEE-NIH 2016 Special Topics Conference on Healthcare Innovations and Point-of-Care Technologies (2016). [URL]
8. A. Ferrone, rone, X.T. Jiang, F. Maita, L. Maiolo, M. Arquilla, A. Castiello, A. Pecora,C. Menon, A.Ferrone, L.Colace., “Wearable Band for Hand Gesture Recognition based on Strain Sensors.”, Proceedings of BioRob (2016). [URL]
7. S. Mohammadzadeh, A. Elnady, X.T. Jiang, C. Menon, “Image Processing Algorithm to Generate a Control Signal to Drive an Exoskeleton For Upper Extremity Rehabilitation”, Proceedings of IEEE CCECE (2016). [URL]
6. G.P. Sadarangani, X.T. Jiang, Z. Xiao, L.A. Simpson, J.J. Eng, C. Menon, “A Universal Band for Detecting Functional Use in Rehabilitation Applications”, 2015 IEEE International Conference on Robotics and Automation, Seattle, Washington, May (2015).
5. B. Zheng, X.T. Jiang, and M.S. Atkins,“Gaze Characteristics of Video Watching in a Surgical Setting”, Proceedings of ETVIS (2016). [URL]
4. X.T. Jiang, M.S. Atkins, G. Tien, R. Bednarik, and B. Zheng,“Pupil Responses during Discrete Goal-directed Movements”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems 2075-2084 (2014) (Best of CHI Paper Honorable Mention Award). [URL] .
3. X.T. Jiang, B. Zheng, G. Tien, R. Bednarik, and M.S. Atkins, “Pupil Dilations during Target-pointing Respect Fitts' Law”, Proceedings of the Symposium on Eye Tracking Research and Applications, 175-182 (2014). [URL] .
2. G. Tien, M.S. Atkins, X.T. Jiang, B. Zheng, and R. Bednarik, “Verbal Gaze Instruction Matches Visual Gaze Guidance in Laparoscopic Skills Training”, Proceedings of the Symposium on Eye Tracking Research and Applications, 331-334 (2014). [URL]
1. M.S. Atkins, X.T. Jiang, G. Tien, and B. Zheng, “Saccadic Delays on Targets while Watching Videos”, Proceedings of the Symposium on Eye Tracking Research and Applications, 405-408 (2012). [URL].
12. E. Mohammadreza, V. da Fonseca, X. Jiang “Exploring Training Strategies for Enhanced Myoelectric Control in Prosthetic Hands” 2024 OPC National Conference, August 7-10, Fredericton, NB.
11. S. S. Islam, X. Jiang, M. Ploughman, “Machine learning reveals ipsilateral brain activation during a manual dexterity task in people with multiple sclerosis without disability”, 2024 Annual Meeting of the American Society of Neurorehabilitation (ASNR), April 11-13, San Antonio, Texas (2024).
10. B. Zheng, X. Jiang, R. Bednarik, “Surgical Team: Measuring the Shared Cognition and Performance”, 3RD Conference on Clinic Translation of Medical Image Computing and Computer Assisted Intervention, October 8-12, Vancouver (2023).
9. W. Lu, X. Jiang, X. Jin, Y. L. Yang, M. Gong, K. Shi, T. Wang, H. Zhao, “GRIG: Data-efficient generative residual image inpainting”, The 32nd Annual Newfoundland Electrical and Computer Engineering Conference, November 14, St. John’s (2023).
8. S. S. Islam, B. D. Baldasso, X. Jiang, M. Ploughman, “Explainable Prediction of Multiple Sclerosis from Brain Activation During Motor Tasks using fNIRS”, The 32nd Annual Newfoundland Electrical and Computer Engineering Conference, November 14, St. John’s (2023).
7. K. Shi, X. Jiang, H. Zhao, “Human grasp forecasting using exocentric video classification”, The 32nd Annual Newfoundland Electrical and Computer Engineering Conference, November 14, St. John’s (2023).
6. A. Barua , X. Jiang, D. Fuller, “The Effectiveness of Simple Heuristic Features in Sensor Orientation and Placement Problems in Human Activity Recognition Using A Single Smartphone Accelerometer”, The 32nd Annual Newfoundland Electrical and Computer Engineering Conference, November 14, St. John’s (2023).
5. V. R. Galaiya, T. Oliveira, X. Jiang, V. Fonseca, “Learning to Pick Objects with a Compliant Tactile Module and Reinforcement Learning ”, The 32nd Annual Newfoundland Electrical and Computer Engineering Conference, November 14, St. John’s (2023).
4. W. He, X. Jiang, B. Zheng, “Synchronization of Pupil Dilations Correlates with Team Performance in a Simulated Laparoscopic Team Coordination Task”, Canadian Surgery Forum 2021, September 11-24, Online (2021).
3. C. Napier, X.T. Jiang, and C. Menon,“The use of a sacral marker to approximate the centre of mass during running gait”, ISB/ASB congress 2019, July 31-August 4, Calgary, Canada (2019).
2. X.T. Jiang, M. Gholami, J. Eng, C. Menon, “Peak plantar ankle flex push-off power estimation using single inertial measurement units”, ISPGR world congress 2019, June 30-July 4, Edinburgh, UK (2019).
1. G.P. Sadarangani, X.T. Jiang, Z. Xiao, L.A. Simpson, J.J. Eng, C. Menon,“Wearable Sensor for Detecting Functional Use of the Upper-extremities in Take-Home or Tele-Rehabilitation Settings”, 24th John K. Friesen Conference Harnessing Technology for Aging-in-place, May, Vancouver, Canada (2015).