Differential Network Learning Beyond Data Samples. - Arshdeep Sekhon; Beilun Wang; Zhe Wang 025; Yanjun Qi (CoRR, 2020)

Towards Reducing Severe Defocus Spread Effects for Multi-Focus Image Fusion via an Optimization Based Strategy. - Shuang Xu; Lizhen Ji; Zhe Wang 025; Pengfei Li; Kai Sun 007; Chunxia Zhang 002; Jiangshe Zhang 001 (IEEE Trans. Computational Imaging, 2020)

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG. - Arshdeep Sekhon; Zhe Wang 025; Yanjun Qi (CoRR, 2021)

Long-Range Transformers for Dynamic Spatiotemporal Forecasting. - Jake Grigsby; Zhe Wang 025; Yanjun Qi (CoRR, 2021)

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. - Arshdeep Sekhon; Zhe Wang 025; Yanjun Qi (AISTATS, 2022)

ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. - Zhe Wang 025; Jake Grigsby; Arshdeep Sekhon; Yanjun Qi (UAI, 2022)

Improving Interpretability via Explicit Word Interaction Graph Layer. - Arshdeep Sekhon; Hanjie Chen; Aman Shrivastava; Zhe Wang 025; Yangfeng Ji; Yanjun Qi (AAAI, 2023)

PGrad: Learning Principal Gradients For Domain Generalization. - Zhe Wang 025; Jake Grigsby; Yanjun Qi (ICLR, 2023)