11 citations · 32 across the 8 of their papers we have counts for
11 papers
Backpropagating Verifier Rewards Through Continuous Flow Language Models
Xu Han, Jiajing Hu, Li-Ping Liu
Reinforcement learning (RL) has substantially improved the reasoning of autoregressive and discrete-diffusion language models. Language models that generate continuous token embedd…
Deterministic Prediction as Global Velocity: Flow Matching for Probabilistic Time-Series Forecast
Jiajing Hu, Xu Han, Li-Ping Liu
Accurate uncertainty quantification is critical for many time series forecasting applications, and recent studies have increasingly adopted generative models to capture predictive…
Self-Consistent Flow: Unifying Velocity and Endpoint Prediction for Rectified Flow Models
Xu Han, Jiajing Hu, Li-Ping Liu
In rectified-flow-based generative models, the neural network can be trained to predict two different targets, such as the instantaneous velocity or the data endpoint, to perform d…
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
Pengcheng Shi, Haozhe Cheng, Xu Han +2
Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data. Most existing methods only consider global object features,…
Predicting Physics in Mesh-reduced Space with Temporal Attention
Xu Han, Han Gao, Tobias Pfaff +2
Graph-based next-step prediction models have recently been very successful in modeling complex high-dimensional physical systems on irregular meshes. However, due to their short te…
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
Xiaohui Chen, Xu Han, Jiajing Hu +2
A graph generative model defines a distribution over graphs. One type of generative model is constructed by autoregressive neural networks, which sequentially add nodes and edges t…
Jump on the Bandwagon? -- Characterizing Bandwagon Phenomenon in Online NBA Fan Communities
Yichen Wang, Jason Shuo Zhang, Xu Han +1
Understanding user dynamics in online communities has become an active research topic and can provide valuable insights for human behavior analysis and community management. In thi…
Visual Distant Supervision for Scene Graph Generation
Yuan Yao, Ao Zhang, Xu Han +5
Scene graph generation aims to identify objects and their relations in images, providing structured image representations that can facilitate numerous applications in computer visi…
GAN Ensemble for Anomaly Detection
Xu Han, Xiaohui Chen, Li-Ping Liu
When formulated as an unsupervised learning problem, anomaly detection often requires a model to learn the distribution of normal data. Previous works apply Generative Adversarial…
Sentence Segmentation for Classical Chinese Based on LSTM with Radical Embedding
Xu Han, Hongsu Wang, Sanqian Zhang +2
In this paper, we develop a low than character feature embedding called radical embedding, and apply it on LSTM model for sentence segmentation of pre modern Chinese texts. The dat…
Seed-Point Detection of Clumped Convex Objects by Short-Range Attractive Long-Range Repulsive Particle Clustering
James Kapaldo, Xu Han, Domingo Mery
Locating the center of convex objects is important in both image processing and unsupervised machine learning/data clustering fields. The automated analysis of biological images us…