Zheng, Lin

11 publications

ICLR 2025 Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning Jiacheng Ye, Jiahui Gao, Shansan Gong, Lin Zheng, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 Scaling Diffusion Language Models via Adaptation from Autoregressive Models Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong

NeurIPS 2024 Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao, Han Shi, Chuan Wu, Xin Jiang, Zhenguo Li, Wei Bi, Lingpeng Kong

AAAI 2024 Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data Shuyu Miao, Jian Liu, Lin Zheng, Hong Jin

ICML 2024 Self-Infilling Code Generation Lin Zheng, Jianbo Yuan, Zhi Zhang, Hongxia Yang, Lingpeng Kong

ECML-PKDD 2023 Attentive Multi-Layer Perceptron for Non-Autoregressive Generation Shuyang Jiang, Jun Zhang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

ICML 2023 CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong

ICLR 2023 Efficient Attention via Control Variates Lin Zheng, Jianbo Yuan, Chong Wang, Lingpeng Kong

CVPRW 2023 K-Means Clustering Based Feature Consistency Alignment for Label-Free Model Evaluation Shuyu Miao, Lin Zheng, Jingjing Liu, Hong Jin

ICML 2022 Linear Complexity Randomized Self-Attention Mechanism Lin Zheng, Chong Wang, Lingpeng Kong

ICML 2022 Ripple Attention for Visual Perception with Sub-Quadratic Complexity Lin Zheng, Huijie Pan, Lingpeng Kong