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cs.AI2024
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity Prediction
Xin Jing, Yichen Jing, Yuhuan Lu +3
Information popularity prediction is important yet challenging in various domains, including viral marketing and news recommendations. The key to accurately predicting information…
cs.AI2024
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models
Xin Jing, Yichen Jing, Yuhuan Lu +3
The rapid spread of diverse information on online social platforms has prompted both academia and industry to realize the importance of predicting content popularity, which could b…
cs.LG2024
Revisiting Synthetic Human Trajectories: Imitative Generation and Benchmarks Beyond Datasaurus
Bangchao Deng, Xin Jing, Tianyue Yang +3
Human trajectory data, which plays a crucial role in various applications such as crowd management and epidemic prevention, is challenging to obtain due to practical constraints an…