2026 * Equal contribution
ACL'26 ACL 2026 Findings
Hengle JIANG, Ke Tang
Why benign agents fail without adversarial attacks? We found that LLM-based Agents exhibit normative drift under compounding task constraints in real-world applications. We provide detailed pressure taxonomy and a safety framework to mitigate such behavior.
SenSys'26 ACM/IEEE SenSys 2026 (51/271 accepted)
Yejia Liu*, Hengle JIANG*, Haoxian Liu, Runxi Huang, Xiaomin Ouyang
MoViD enables robust, cross-view 3D human pose estimation and real-time edge deployment by explicitly disentangling motion from view information and employing a view-aware inference strategy.
SenSys'26 ACM/IEEE SenSys 2026 (51/271 accepted)
Haoxian Liu, Hengle JIANG, Lanxuan Hong, Xiaomin Ouyang
WearBCI introduces the first multimodal wearable BCI dataset featuring synchronized EEG, IMU, and egocentric video to systematically benchmark denoising methods under real-world motion artifacts and explore the potential of IMU-assisted signal enhancement.
ICLR'26 ICLR 2026 Workshop on Reliable Autonomy
Hengle JIANG, Ziying Luo, Ke Tang
A phenomenological formulzation of Agentic Pressure, starting to study the endogenous risk of reliable agent systems.
2025
MobiCom'25 ACM MobiCom 2025 Demo
Yejia Liu*, Hengle JIANG*, Xiaomin Ouyang
A demonstration of real-time view-invariant 3D human pose estimation running on edge devices with under 300ms latency, targeting IoT and mobile robotics applications.