2 citations · 5 across the 8 of their papers we have counts for
9 papers
HitMem: Hierarchical Temporal 3D Memory with Multi-Modal Context-Aware Retrieval for Dynamic Environments
Ruijie Tang, Chenye Zou, Guoquan Wu +3
Executing long-term tasks in dynamic environments requires embodied agents to maintain robust and adaptive 3D scene representations. However, most existing 3D memory frameworks rel…
Prox: Training-Free FFN Activation Sparsity via Approximate Intermediate-Channel Salience in LLMs
Jinyi Liu, Wei Chen, Pengyu Chen +4
Feed-forward networks (FFNs) dominate memory traffic and computation in large language model (LLM) inference, making them a primary target for activation sparsification. However, e…
Demystifying Deep Learning Compiler Frontend Bugs: An LLM-Aided Empirical Study
Xinyi Yuan, Wei Chen, Jinyi Liu +5
Deep learning compilers (DLCs) are designed to translate deep learning programs into optimized, hardware-specific code. Typically, DLC frontends translate programs into graph-based…
ResTest: Targeted Coverage of Residual Not-Covered Code Using Large Language Models for Web GUI Testing
Chenxu Liu, Zhiyu Gu, Guoquan Wu +4
Automated web GUI testing (AWGT) approaches explore web applications through GUI actions to achieve code coverage. However, existing approaches, whether random-based, model-based,…
Deep Reinforcement Learning for Automated Web GUI Testing
Zhiyu Gu, Chenxu Liu, Guoquan Wu +5
Automated GUI testing of web applications has always been considered a challenging task considering their large state space and complex interaction logic. Deep Reinforcement Learni…
Testing the Fault-Tolerance of Multi-Sensor Fusion Perception in Autonomous Driving Systems
Haoxiang Tian, Wenqiang Ding, Xingshuo Han +5
High-level Autonomous Driving Systems (ADSs), such as Google Waymo and Baidu Apollo, typically rely on multi-sensor fusion (MSF) based approaches to perceive their surroundings. Th…