Junjie Ye - RankMe

35 papers A* 8A 6B 1C 2Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. AAAI Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2024	A*	`conf`	PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2024	J	`jnl`	PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023	A	`conf`	EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023	A	`conf`	EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan
2023	J	`jnl`	Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation. CoRR Jiren Mai, Fei Zhang, Junjie Ye, Marcus Kalander, Xian Zhang, Wankou Yang, Tongliang Liu, Bo Han
2023	C	`conf`	GPT-LS: Generative Pre-Trained Transformer with Offline Reinforcement Learning for Logic Synthesis. ICCD Chenyang Lv, Ziling Wei, Weikang Qian, Junjie Ye, Chang Feng, Zhezhi He
2023	J	`jnl`	OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments. CoRR Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun
2023	A*	`conf`	Out-of-distribution Detection with Implicit Outlier Transformation. ICLR Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2023	J	`jnl`	Out-of-distribution Detection with Implicit Outlier Transformation. CoRR Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
2022	J	`jnl`	A 5 Theor. Comput. Sci. Wenjun Li, Junjie Ye, Yixin Cao
2022	J	`jnl`	A Polynomial Kernel for Diamond-Free Editing. Algorithmica Yixin Cao, Ashutosh Rai, R. B. Sandeep, Junjie Ye
2022	A	`conf`	Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
2022	A*	`conf`	Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. KDD Xiong Peng, Feng Liu, Jingfeng Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
2022	J	`jnl`	Bilateral Dependency Optimization: Defending Against Model-inversion Attacks. CoRR Xiong Peng, Feng Liu, Jingfen Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
2022	A	`conf`	Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration. ICCAD Xinyi Zhou, Junjie Ye, Chak-Wa Pui, Kun Shao, Guangliang Zhang, Bin Wang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2022	A	`conf`	LCD: Adaptive Label Correction for Denoising Music Recommendation. CIKM Quanyu Dai, Yalei Lv, Jieming Zhu, Junjie Ye, Zhenhua Dong, Rui Zhang, Shu-Tao Xia, Ruiming Tang
2022	A*	`conf`	The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design. NeurIPS Ruoyu Cheng, Xianglong Lyu, Yang Li, Junjie Ye, Jianye Hao, Junchi Yan
2021	A*	`conf`	Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. AAAI Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2021	A*	`conf`	Noise against noise: stochastic label noise helps combat inherent label noise. ICLR Pengfei Chen, Guangyong Chen, Junjie Ye, Jingwei Zhao, Pheng-Ann Heng
2021	A*	`conf`	Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. AAAI Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2020	J	`jnl`	Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. CoRR Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2020	J	`jnl`	Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. CoRR Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng
2018	J	`jnl`	A 5k-vertex Kernel for P CoRR Wenjun Li, Junjie Ye, Yixin Cao
2018	A	`conf`	A Polynomial Kernel for Diamond-Free Editing. ESA Yixin Cao, Ashutosh Rai, R. B. Sandeep, Junjie Ye
2018	J	`jnl`	A Polynomial Kernel for Diamond-Free Editing. CoRR Yixin Cao, Ashutosh Rai, R. B. Sandeep, Junjie Ye
2018	Misc	`conf`	Kernelization for P FAW Wenjun Li, Junjie Ye, Yixin Cao
2018	J	`jnl`	STOMA: Simultaneous Template Optimization and Mask Assignment for Directed Self-Assembly Lithography With Multiple Patterning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jian Kuang, Junjie Ye, Evangeline F. Y. Young
2016	B	`conf`	Finding Two Edge-Disjoint Paths with Length Constraints. WG Leizhen Cai, Junjie Ye
2016	—	`conf`	Simultaneous template optimization and mask assignment for DSA with multiple patterning. ASP-DAC Jian Kuang, Junjie Ye, Evangeline F. Y. Young
2015	J	`jnl`	A Note on Finding Dual Feedback Vertex Set. CoRR Junjie Ye
2015	J	`jnl`	Finding Two Edge-Disjoint Paths with Length Constraints. CoRR Leizhen Cai, Junjie Ye
2015	J	`jnl`	Parameterized complexity of finding connected induced subgraphs. Theor. Comput. Sci. Leizhen Cai, Junjie Ye
2014	—	`conf`	Dual Connectedness of Edge-Bicolored Graphs and Beyond. MFCS (2) Leizhen Cai, Junjie Ye
2014	C	`conf`	Parameterized Complexity of Connected Induced Subgraph Problems. AAIM Leizhen Cai, Junjie Ye