News
- 10/2026 — Three papers accepted into NeurIPS 2026 on domain-generalised semantic segmentation, temporal alignment in LLMs, and test-time prompt tuning.
- 10/2026 — Our recent work on safe image generation with concept erasure has been accepted in WACV 2027 and ACCV 2026.
- 09/2026 — Our recent work on truthfulness in large language models has been accepted in EMNLP 2026 (transcoders for time-sensitive factual recall) and AJCAI 2026 (uncertainty quantification for context-sensitive faithfulness).
- 09/2026 — Yang presented a keynote talk on Trust in Medical Image Analysis at the International Conference on Intelligent Computing and Engineering for Enterprise Systems (ICICEES 2026).
- 08/2026 — Our recent work on machine unlearning for fair dermatological image classification has been published in Pattern Recognition: Paper.
- 07/2026 — Our RoboCup Rescue site is online: UNSW RoboCup Rescue.
- 07/2026 — Yang presented a webinar on hallucinations in medical VLMs at an Nvidia event, Empowering Higher Education & Robotics with NVIDIA DGX Spark.
- 06/2026 — PhD studnet Haonan Zhong presented an invited talk on fairness in dermatology image classification at St George Hospital.
- 06/2026 — Our recent work on foundation models for domain generalised semantic segmentation has been accepted in IROS 2026 (a token-level fusion method) and ECCV 2026 (a hierarchical prompt injection method).
- 05/2026 — We have written a review paper for simulation in robotics research leveraging Nvidia’s Isaac Sim, which is now available online: Paper.
- 04/2026 — Our paper on iFire AI has been accepted at IJCAI 2026, showcasing our work on AI-based wildfire visualisation (iFire).
- 03/2026 — Presented a poster at NVIDIA’s GTC: Reinforcement Learning for Follow-the-Leader Robotic Endoscopic Navigation via Synthetic Depth Data.
- 02/2026 — Our RoboCup@Rescue team now comprises 16 students developing autonomous navigation and detection capabilities using the Unitree Go2 robot.
- 02/2026 — Yang presented an invited talk at the 1st World Conference of Computational Neurosurgery: Interpretable Deep Learning for Biomedical Imaging.
- 02/2026 — Lab website launched.