Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. - Wenpeng Hu; Zhou Lin; Bing Liu 001; Chongyang Tao; Zhengwei Tao; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (ICLR (Poster), 2019)

Two-Stage Encoder for Pointer-Generator Network with Pretrained Embeddings. - Zhou Lin; Qifeng Zhou; Langcai Cao (ICCSE, 2021)

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads. - Dharma Shukla; Muthian Sivathanu; Srinidhi Viswanatha; Bhargav S. Gulavani; Rimma Nehme; Amey Agrawal; Chen Chen; Nipun Kwatra; Ramachandran Ramjee; Pankaj Sharma; Atul Katiyar; Vipul Modi; et al. (CoRR, 2022)

Improving Subgraph Representation Learning via Multi-View Augmentation. - Yili Shen; Jiaxu Yan; Cheng-Wei Ju; Jun Yi; Zhou Lin; Hui Guan 001 (CoRR, 2022)

Integrating Graph Neural Networks and Many-Body Expansion Theory for Potential Energy Surfaces. - Siqi Chen; Zhiqiang Wang; Xianqi Deng; Yili Shen; Cheng-Wei Ju; Jun Yi; Lin Xiong; Guo Ling; Dieaa Alhmoud; Hui Guan 001; Zhou Lin (CoRR, 2024)

Evaluation of K-Means Algorithm for Faulted Landforms Extraction and Offset Measurement With an Example From the Eastern Kunlun Fault. - Shengchao Zhou; Zhou Lin (IEEE Access, 2025)

Quantifying Bounded Rationality: Formal Verification of Simon's Satisficing Through Flexible Stochastic Dominance. - Jingyuan Li; Zhou Lin (CoRR, 2025)