Wu, Chuan

15 publications

ICML 2025 A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations Junwei Su, Chuan Wu

ICLR 2025 Forewarned Is Forearmed: Harnessing LLMs for Data Synthesis via Failure-Induced Exploration Qintong Li, Jiahui Gao, Sheng Wang, Renjie Pi, Xueliang Zhao, Chuan Wu, Xin Jiang, Zhenguo Li, Lingpeng Kong

ICLR 2025 MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards Sheng Wang, Liheng Chen, Pengan Chen, Jingwei Dong, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu

ICML 2025 On the Interplay Between Graph Structure and Learning Algorithms in Graph Neural Networks Junwei Su, Chuan Wu

NeurIPS 2025 TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning Sheng Wang, Pengan Chen, Jingqi Zhou, Qintong Li, Jingwei Dong, Jiahui Gao, Boyang Xue, Jiyue Jiang, Lingpeng Kong, Chuan Wu

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

CoLLAs 2024 On the Limitation and Experience Replay for GNNs in Continual Learning Junwei Su, Difan Zou, Chuan Wu

ECCV 2024 On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su, Chuan Wu

ICLR 2024 PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks Junwei Su, Difan Zou, Chuan Wu

MLJ 2023 An Effective Negative Sampling Approach for Contrastive Learning of Sentence Embedding Qitao Tan, Xiaoying Song, Guanghui Ye, Chuan Wu

ICCV 2023 MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-Attention for Efficient Human Pose Estimation Yuran Sun, Alan William Dougherty, Zhuoying Zhang, Yi King Choi, Chuan Wu

ICML 2023 Towards Robust Graph Incremental Learning on Evolving Graphs Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu

NeurIPS 2022 SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu

AAAI 2020 Distributed Machine Learning Through Heterogeneous Edge Systems Hanpeng Hu, Dan Wang, Chuan Wu

AAAI 2019 Learning Resource Allocation and Pricing for Cloud Profit Maximization Bingqian Du, Chuan Wu, Zhiyi Huang