1 citations · 2 across the 9 of their papers we have counts for
10 papers
EPSO: A Caching-Based Efficient Superoptimizer for BPF Bytecode
Qian Zhu, Yuxuan Liu, Ziyuan Zhu +2
Extended Berkeley Packet Filter (eBPF) allows developers to extend Linux kernel functionality without modifying its source code. To ensure system safety, an in-kernel safety checke…
A co-evolving agentic AI system for medical imaging analysis
Songhao Li, Jonathan Xu, Tiancheng Bao +11
Agentic AI is rapidly advancing in healthcare and biomedical research. However, in medical image analysis, their performance and adoption remain limited due to the lack of a robust…
Decoding Tourist Perception in Historic Urban Quarters with Multimodal Social Media Data: An AI-Based Framework and Evidence from Shanghai
Kaizhen Tan, Yufan Wu, Yuxuan Liu +1
Historic urban quarters are increasingly shaped by tourism and lifestyle consumption, yet planners often lack scalable evidence on what visitors notice, prefer, and criticize in th…
Efficient Non-Adaptive Quantum Algorithms for Tolerant Junta Testing
Zongbo Bao, Yuxuan Liu, Penghui Yao +2
We consider the problem of deciding whether an -qubit unitary (or -bit Boolean function) is -close to some -junta or -far from every -junt…
SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
Cheng Zeng, Xiatian Qi, Chi Chen +5
Transformers have been seldom employed in point cloud roof plane instance segmentation, which is the focus of this study, and existing superpoint Transformers suffer from limited p…
Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark
Enxin Song, Wenhao Chai, Weili Xu +3
Recent advancements in language multimodal models (LMMs) for video have demonstrated their potential for understanding video content, yet the task of comprehending multi-discipline…
Automatically Planning Optimal Parallel Strategy for Large Language Models
Zongbiao Li, Xiezhao Li, Yinghao Cui +11
The number of parameters in large-scale language models based on transformers is gradually increasing, and the scale of computing clusters is also growing. The technology of quickl…
Cerberus: Efficient Inference with Adaptive Parallel Decoding and Sequential Knowledge Enhancement
Yuxuan Liu, Wenyuan Li, Laizhong Cui +1
Large language models (LLMs) often face a bottleneck in inference speed due to their reliance on auto-regressive decoding. Recently, parallel decoding has shown significant promise…
Characterizing segregation in blast rock piles a deep-learning approach leveraging aerial image analysis
Chengeng Liu, Sihong Liu, Chaomin Shen +2
Blasted rock material serves a critical role in various engineering applications, yet the phenomenon of segregation-where particle sizes vary significantly along the gradient of a…
From First-Order to Second-Order Rationality: Advancing Game Convergence with Dynamic Weighted Fictitious Play
Qi Ju, Falin Hei, Yuxuan Liu +2
Constructing effective algorithms to converge to Nash Equilibrium (NE) is an important problem in algorithmic game theory. Prior research generally posits that the upper bound on t…