Parameterized Complexity of Connected Induced Subgraph Problems. - Leizhen Cai; Junjie Ye 002 (AAIM, 2014)

Dual Connectedness of Edge-Bicolored Graphs and Beyond. - Leizhen Cai; Junjie Ye 002 (MFCS (2), 2014)

A Note on Finding Dual Feedback Vertex Set. - Junjie Ye 002 (CoRR, 2015)

Parameterized complexity of finding connected induced subgraphs. - Leizhen Cai; Junjie Ye 002 (Theor. Comput. Sci., 2015)

Simultaneous template optimization and mask assignment for DSA with multiple patterning. - Jian Kuang 001; Junjie Ye 002; Evangeline F. Y. Young (ASP-DAC, 2016)

Finding Two Edge-Disjoint Paths with Length Constraints. - Leizhen Cai; Junjie Ye 002 (WG, 2016)

A Polynomial Kernel for Diamond-Free Editing. - Yixin Cao 001; Ashutosh Rai 001; R. B. Sandeep; Junjie Ye 002 (ESA, 2018)

Kernelization for P2-Packing: A Gerrymandering Approach. - Wenjun Li 001; Junjie Ye 002; Yixin Cao 001 (FAW, 2018)

A 5k-vertex Kernel for P2-packing. - Wenjun Li 001; Junjie Ye 002; Yixin Cao 001 (CoRR, 2018)

STOMA: Simultaneous Template Optimization and Mask Assignment for Directed Self-Assembly Lithography With Multiple Patterning. - Jian Kuang 001; Junjie Ye 002; Evangeline F. Y. Young (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. - Pengfei Chen 003; Junjie Ye 002; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. - Pengfei Chen 003; Junjie Ye 002; Guangyong Chen; Jingwei Zhao; Pheng-Ann Heng (AAAI, 2021)

Noise against noise: stochastic label noise helps combat inherent label noise. - Pengfei Chen 003; Guangyong Chen; Junjie Ye 002; Jingwei Zhao; Pheng-Ann Heng (ICLR, 2021)

LCD: Adaptive Label Correction for Denoising Music Recommendation. - Quanyu Dai; Yalei Lv; Jieming Zhu; Junjie Ye 002; Zhenhua Dong; Rui Zhang 003; Shu-Tao Xia; Ruiming Tang (CIKM, 2022)

Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. - Chang Feng; Wenlong Lyu; Zhitang Chen; Junjie Ye 002; Mingxuan Yuan; Jianye Hao (ICCAD, 2022)

Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. - Xinyi Zhou 010; Junjie Ye 002; Chak-Wa Pui; Kun Shao; Guangliang Zhang; Bin Wang 034; Jianye Hao; Guangyong Chen; Pheng-Ann Heng (ICCAD, 2022)

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. - Xiong Peng; Feng Liu 003; Jingfeng Zhang; Long Lan; Junjie Ye 002; Tongliang Liu; Bo Han 003 (KDD, 2022)

The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. - Ruoyu Cheng; Xianglong Lyu; Yang Li 197; Junjie Ye 002; Jianye Hao; Junchi Yan (NeurIPS, 2022)

Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. - Xiong Peng; Feng Liu 003; Jingfen Zhang; Long Lan; Junjie Ye 002; Tongliang Liu; Bo Han 003 (CoRR, 2022)

A 5k-vertex kernel for P2-packing. - Wenjun Li 001; Junjie Ye 002; Yixin Cao 001 (Theor. Comput. Sci., 2022)

EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. - Peiyu Wang; Anqi Lu; Xing Li 023; Junjie Ye 002; Lei Chen 031; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. - Jianyong Yuan; Peiyu Wang; Junjie Ye 002; Mingxuan Yuan; Jianye Hao; Junchi Yan (ICCAD, 2023)

Out-of-distribution Detection with Implicit Outlier Transformation. - Qizhou Wang; Junjie Ye 002; Feng Liu 003; Quanyu Dai; Marcus Kalander; Tongliang Liu; Jianye Hao; Bo Han 003 (ICLR, 2023)

Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation. - Jiren Mai; Fei Zhang; Junjie Ye 002; Marcus Kalander; Xian Zhang; Wankou Yang; Tongliang Liu; Bo Han 003 (CoRR, 2023)

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. - Jinyi Liu 002; Zhi Wang 001; Yan Zheng 002; Jianye Hao; Chenjia Bai; Junjie Ye 002; Zhen Wang 004; Haiyin Piao; Yang Sun (AAAI, 2024)

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. - Ruizhe Zhong; Junjie Ye 002; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; Junchi Yan (AAAI, 2024)