Shengjie Wang - RankMe

26 papers A* 10A 5Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. KDD (1) Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen
2024	—	`conf`	An End-to-End Submodular Framework for Data-Efficient In-Context Learning. NAACL-HLT (Findings) Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes
2023	A	`conf`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. WSDM Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2023	A	`conf`	Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. RecSys Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu
2023	A*	`conf`	Machine Learning Force Fields with Data Cost Aware Training. ICML Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
2023	J	`jnl`	Machine Learning Force Fields with Data Cost Aware Training. CoRR Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
2023	A	`conf`	PSLF: Defending Against Label Leakage in Split Learning. CIKM Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen
2022	J	`jnl`	DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. CoRR Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang
2022	A*	`conf`	Retrospective Adversarial Replay for Continual Learning. NeurIPS Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2021	A*	`conf`	Constrained Robust Submodular Partitioning. NeurIPS Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes
2021	A	`conf`	Curriculum Learning by Optimizing Learning Dynamics. AISTATS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2021	A*	`conf`	Robust Curriculum Learning: from clean label detection to noisy label self-correction. ICLR Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2020	A*	`conf`	Curriculum Learning by Dynamic Instance Hardness. NeurIPS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2020	A*	`conf`	Time-Consistent Self-Supervision for Semi-Supervised Learning. ICML Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2019	A*	`conf`	Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. ICML Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2019	A	`conf`	Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. AISTATS Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes
2019	A*	`conf`	Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. ICML Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes
2018	A*	`conf`	Diverse Ensemble Evolution: Curriculum Data-Model Marriage. NeurIPS Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes
2017	—	`conf`	Do Deep Convolutional Nets Really Need to be Deep and Convolutional? ICLR (Poster) Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana
2017	—	`conf`	Training Compressed Fully-Connected Networks with a Density-Diversity Penalty. ICLR (Poster) Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble
2016	A*	`conf`	Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. ICML Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, Özlem Aslan
2016	J	`jnl`	Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)? CoRR Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson
2016	J	`jnl`	Faster and more accurate graphical model identification of tandem mass spectra using trellises. Bioinform. Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble
2015	J	`jnl`	Compressing LSTMs into CNNs. CoRR Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton
2015	J	`jnl`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation. CoRR Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes
2015	—	`conf`	Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications. NIPS Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes