Currently, I am launching a startup company TipType.
TipType provides excellent AI writing tools, including AI-humanizer, AI-detector and more. Check it out!
Email: kourenmu AT gmail
I earned my Bachelor's degree in Computer Science and Technology from Zhejiang University in 2012. Following my undergraduate studies, I pursued a Ph.D. at The Chinese University of Hong Kong under the supervision of Prof. Leizhen Cai, which I completed in 2016. Subsequently, I worked as a Postdoctoral Fellow at The Hong Kong Polytechnic University, collaborating with Dr. Yixin Cao. After my postdoctoral research, I transitioned to industry, first joining vivo and later Huawei as a researcher. In 2023, I joined museland.ai as partner and leaded the Agent Team.
AI Agents, Graph Algorithms, Computational Complexity.
Zhong, Ruizhe, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, and Junchi Yan. PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI, 2024
Zhou, Xinyi, Guangyong Chen, Junjie Ye, Ercheng Wang, Jun Zhang, Cong Mao, Zhanwei Li et al. ProRefiner: an entropy-based refining strategy for inverse protein folding with global graph attention. Nature Communications, 2023.
Lv, Chenyang, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, and Zhezhi He. GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis. ICCD, 2023
Wang, Peiyu, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, and Junchi Yan. EasyMAP: Improving technology mapping via exploration-enhanced heuristics and adaptive sequencing. ICCAD, 2023.
Wang, Qizhou, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye HAO, and Bo Han. Out-of-distribution Detection with Implicit Outlier Transformation. ICLR, 2022.
Feng, Chang, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, and Jianye Hao. Batch Sequential Black-box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD, 2022.
Zhou, Xinyi, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, and Pheng Ann Heng. Heterogeneous Graph Neural Network-based Imitation Learning for Gate Sizing Acceleration. ICCAD, 2022.
Peng, Xiong, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, and Bo Han. Bilateral dependency optimization: Defending against model-inversion attacks. KDD, 2022.
Dai, Quanyu, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, and Ruiming Tang. LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM, 2022.
Chen, Pengfei, Junjie Ye, Guangyong Chen, Jingwei Zhao, and Pheng-Ann Heng. Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI, 2021.
Chen, Pengfei, Junjie Ye, Guangyong Chen, Jingwei Zhao, and Pheng-Ann Heng. Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI, 2021.
Chen, Pengfei, Guangyong Chen, Junjie Ye, and Pheng-Ann Heng. Noise against noise: stochastic label noise helps combat inherent label noise. ICLR 2021.
Yixin Cao, Ashutosh Rai, R. B. Sandeep, and Junjie Ye. A Polynomial Kernel for Diamond-Free Editing, European Symposium on Algorithms (ESA), 2018.
Wenjun Li, Junjie Ye and Yixin Cao. Kernelization for P2-packing: A Gerrymandering Approach, Frontiers of Algorithmics Workshop (FAW), 2018.
Jian Kuang, Junjie Ye and Evangeline F.Y. Young. STOMA: Simultaneous Template Optimization and Mask Assignment for Directed Self-Assembly Lithography with Multiple Patterning, Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2018.
Leizhen Cai and Junjie Ye. Finding Two Edge-Disjoint Paths with Length Constraints, Workshop on Graph-Theoretic Concepts in Computer Science (WG), 2016.
Jian Kuang, Junjie Ye and Evangeline F.Y. Young. Simultaneous Template Optimization and Mask Assignment for DSA with Multiple Patterning, IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2016. (Best Paper Nomination)
Junjie Ye. A Note on Finding Dual Feedback Vertex Set, arxiv, 2015.
Leizhen Cai and Junjie Ye. Parameterized Complexity of Finding Connected Induced Subgraphs, Theoretical Computer Science (TCS), 2015.
Leizhen Cai and Junjie Ye. Dual Connectedness of Edge-Bicolored Graphs and Beyond, Mathematical Foundations of Computer Science (MFCS), 2014.
Leizhen Cai and Junjie Ye. Parameterized Complexity of Connected Induced Subgraph Problems, Algorithmic Aspects in Information and Management (AAIM), 2014.