Shengjie Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
15
Active years
2011–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | ToMA: Token Merge with Attention for Diffusion Models. | Wenbo Lu, Shaoyi Zheng, Yuxuan Xia, Shengjie Wang |
| 2025 | IROS | Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing. | Jun Zhu, Zihao Du, Haotian Xu, Fengbo Lan, Zilong Zheng, Bo Ma, Shengjie Wang, Tao Zhang |
| 2025 | KDD | DimCL: Dimension-Aware Augmentation in Contrastive Learning for Recommendation. | Chi Zhang, Qilong Han, Qiaoyu Tan, Shengjie Wang, Xiangyu Zhao, Rui Chen |
| 2024 | CoRL | DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands. | Fengbo Lan, Shengjie Wang, Yunzhe Zhang, Haotian Xu, Oluwatosin OluwaPelumi Oseni, Ziye Zhang, Yang Gao, Tao Zhang |
| 2024 | CoRL | Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own. | Weirui Ye, Yunsheng Zhang, Haoyang Weng, Xianfan Gu, Shengjie Wang, Tong Zhang, Mengchen Wang, Pieter Abbeel, Yang Gao |
| 2024 | DSN | Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy. | Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang |
| 2024 | ICML | EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data. | Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao |
| 2024 | IROS | CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models. | Haoxu Huang, Fanqi Lin, Yingdong Hu, Shengjie Wang, Yang Gao |
| 2024 | ICRA | i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search. | Jun Zhu, Hongyi Li, Zhepeng Wang, Shengjie Wang, Tao Zhang |
| 2024 | NAACL | An End-to-End Submodular Framework for Data-Efficient In-Context Learning. | Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes |
| 2023 | CIKM | PSLF: Defending Against Label Leakage in Split Learning. | Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen |
| 2023 | CoRL | A Policy Optimization Method Towards Optimal-time Stability. | Shengjie Wang, Lan Fengb, Xiang Zheng, Yuxue Cao, Oluwatosin OluwaPelumi Oseni, Haotian Xu, Tao Zhang, Yang Gao |
| 2023 | ICML | Machine Learning Force Fields with Data Cost Aware Training. | Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao |
| 2023 | IROS | Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization. | Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang |
| 2023 | RecSys | Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. | Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu |
| 2023 | WSDM | DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. | Liangwei Yang, Shengjie Wang, Yunzhe Tao, Jiankai Sun, Xiaolong Liu, Philip S. Yu, Taiqing Wang |
| 2021 | AISTATS | Curriculum Learning by Optimizing Learning Dynamics. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | ICLR | Robust Curriculum Learning: from clean label detection to noisy label self-correction. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2021 | IROS | A Multi-Target Trajectory Planning of a 6-DoF Free-Floating Space Robot via Reinforcement Learning. | Shengjie Wang, Xiang Zheng, Yuxue Cao, Tao Zhang |
| 2021 | SiggraphA | Optimized binarization for eggshell carving art. | Thi Ngoc Hanh Le, Sheng-Yi Yao, Chih-Kuo Yeh, Shengjie Wang, Tong-Yee Lee |
| 2020 | ICML | Time-Consistent Self-Supervision for Semi-Supervised Learning. | Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes |
| 2019 | AISTATS | Fixing Mini-batch Sequences with Hierarchical Robust Partitioning. | Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes |
| 2019 | ICML | Bias Also Matters: Bias Attribution for Deep Neural Network Explanation. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2019 | ICML | Jumpout : Improved Dropout for Deep Neural Networks with ReLUs. | Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes |
| 2017 | ICLR | Do Deep Convolutional Nets Really Need to be Deep and Convolutional? | Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, zlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana |
| 2017 | ICLR | Training Compressed Fully-Connected Networks with a Density-Diversity Penalty. | Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble |
| 2016 | ICML | Analysis of Deep Neural Networks with Extended Data Jacobian Matrix. | Shengjie Wang, Abdel-rahman Mohamed, Rich Caruana, Jeff A. Bilmes, Matthai Philipose, Matthew Richardson, Krzysztof J. Geras, Gregor Urban, zlem Aslan |
| 2013 | PPoPP | The tasks with effects model for safe concurrency. | Stephen Heumann, Vikram S. Adve, Shengjie Wang |
| 2012 | KDD | Towards social user profiling: unified and discriminative influence model for inferring home locations. | Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen-Chuan Chang |
| 2011 | CIS | Design of Intelligent Decision-making System in Multi-UUV Formation Control Simulation. | Hong Han, Fengju Kang, Shengjie Wang |