collaborators

7 papers

cs.RO2026

D-JEPA: A Decision-Aligned Latent World Model

Shuaijun Liu, Chengyu Wu, Qifu Wen +5

Latent world models predict the consequences of actions, but accurate prediction does not guarantee that latent distance reflects which candidate will execute successfully. We iden…

cs.LG2026

How Wrong Can a Good Predictor Be? Diverging Updates with Vanishing Predictive KL

Qifu Wen, Shuaijun Liu, Zihan Zhou +2

Accurate posterior prediction need not require accurate approximation of Bayesian updates. We prove that an unbounded gap between the update maps can coexist with vanishing predict…

cs.CV2026

SR-JEPA: Learning Predictive Latent State in 3D Scenes

Zihan Zhou, Qifu Wen, Xi Zeng

Joint-embedding predictive architectures learn by predicting latent representations of missing observations, yet many masked JEPAs are evaluated primarily through the encoders they…

cs.RO2026

CoWAM: Coordination Contracts for Selective Policy Intervention with WAMs

Shuaijun Liu, Qifu Wen, Shuyang Hao +5

World Action Models (WAMs) augment robot policies with action-conditioned predicted futures, but a plausible future alone does not justify changing the action that a bimanual polic…

cs.LG2025

Pruning and Quantization Impact on Graph Neural Networks

Khatoon Khedri, Reza Rawassizadeh, Qifu Wen +1

Graph neural networks (GNNs) are known to operate with high accuracy on learning from graph-structured data, but they suffer from high computational and resource costs. Neural netw…

cs.LG2025

GradES: Significantly Faster Training in Transformers with Gradient-Based Early Stopping

Qifu Wen, Xi Zeng, Zihan Zhou +4

Early stopping monitors global validation loss and halts all parameter updates simultaneously, which is computationally costly for large transformers due to the extended time requi…

cs.HC2025

From Clicks to Conversations: Evaluating the Effectiveness of Conversational Agents in Statistical Analysis

Qifu Wen, Prishita Kochhar, Sherif Zeyada +2

The rapid proliferation of data science forced different groups of individuals with different backgrounds to adapt to statistical analysis. We hypothesize that conversational agent…