106 citations · 158 across the 10 of their papers we have counts for
10 papers
NARU: A Benchmark for NARrative Evolution and Cultural Nuance Understanding in Japanese Extreme Long Video
Yuheng Huang, Jianlang Chen, Jiayang Song +6
Long-form video understanding encompasses tasks that go beyond retrieving isolated events, including tracking an evolving narrative and interpreting social meaning that may remain…
PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement
Zhijie Wang, Yuheng Huang, Da Song +2
The recent advancements in Generative AI have significantly advanced the field of text-to-image generation. The state-of-the-art text-to-image model, Stable Diffusion, is now capab…
MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems
Xinyu Gao, Zhijie Wang, Yang Feng +3
Multi-sensor fusion stands as a pivotal technique in addressing numerous safety-critical tasks and applications, e.g., self-driving cars and automated robotic arms. With the contin…
LUNA: A Model-Based Universal Analysis Framework for Large Language Models
Da Song, Xuan Xie, Jiayang Song +4
Over the past decade, Artificial Intelligence (AI) has had great success recently and is being used in a wide range of academic and industrial fields. More recently, LLMs have made…
Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?
Bonan Kou, Shengmai Chen, Zhijie Wang +2
Large Language Models (LLMs) have recently been widely used for code generation. Due to the complexity and opacity of LLMs, little is known about how these models generate code. We…
Bi-orthogonal fPINN: A physics-informed neural network method for solving time-dependent stochastic fractional PDEs
Lei Ma, Rong xin Li, Fanhai Zeng +2
Fractional partial differential equations (FPDEs) can effectively represent anomalous transport and nonlocal interactions. However, inherent uncertainties arise naturally in real a…
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
Da Song, Zhijie Wang, Yuheng Huang +2
Machine Learning (ML) has been widely used in Natural Language Processing (NLP) applications. A fundamental assumption in ML is that training data and real-world data should follow…
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Zhijie Wang, Yuheng Huang, Da Song +2
Recurrent Neural Networks (RNNs) have been widely used in Natural Language Processing (NLP) tasks given its superior performance on processing sequential data. However, it is chall…
An Empirical Study of AI Techniques in Mobile Applications
Yinghua Li, Xueqi Dang, Haoye Tian +5
The integration of artificial intelligence (AI) into mobile applications has significantly transformed various domains, enhancing user experiences and providing personalized servic…
FAF: A novel multimodal emotion recognition approach integrating face, body and text
Zhongyu Fang, Aoyun He, Qihui Yu +4
Multimodal emotion analysis performed better in emotion recognition depending on more comprehensive emotional clues and multimodal emotion dataset. In this paper, we developed a la…