Shengjie Wang

According to our database, Shengjie Wang authored at least 69 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Combining probabilistic forecasts of intermittent demand.

Shengjie Wang, Yanfei Kang, Fotios Petropoulos

Eur. J. Oper. Res., 2024

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

CoRR, 2024

CoPa: General Robotic Manipulation through Spatial Constraints of Parts with Foundation Models.

Haoxu Huang, Fanqi Lin, Yingdong Hu, Shengjie Wang, Yang Gao

CoRR, 2024

SpaceOctopus: An Octopus-inspired Motion Planning Framework for Multi-arm Space Robot.

Wenbo Zhao, Shengjie Wang, Yixuan Fan, Yang Gao, Tao Zhang

CoRR, 2024

A mathematical formulation and a tabu search heuristic for the joint vessel-UAV routing problem.

Yantong Li, Shengjie Wang, Shanshan Zhou, Zheng Wang

Comput. Oper. Res., 2024

Crop plant automatic detecting based on in-field images by lightweight DFU-Net model.

Hui Shi, Dongyuan Shi, Shengjie Wang, Wei Li, Haojun Wen, Hongtao Deng

Comput. Electron. Agric., 2024

An End-to-End Submodular Framework for Data-Efficient In-Context Learning.

Lilly Kumari, Shengjie Wang, Arnav Das, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

i-Octree: A Fast, Lightweight, and Dynamic Octree for Proximity Search.

Jun Zhu, Hongyi Li, Zhepeng Wang, Shengjie Wang, Tao Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data.

Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy.

Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

2023

Satellite-Based Distribution of Inverse Altitude Effect of Global Water Vapor Isotopes: Potential Influences on Isotopes in Climate Proxies.

Gahong Yang, Yanqiong Xiao, Shengjie Wang, Yuqing Qian, Hongyang Li, Mingjun Zhang

Remote. Sens., September, 2023

Modeling and Analysis of Thermal Covert Channel Attacks in Many-core Systems.

Shengjie Wang, Xiaohang Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang, Letian Huang

IEEE Trans. Computers, February, 2023

An ultra-wideband tuning method for electrically small antenna based on characteristic mode analysis.

Yunpeng Liu, Lin Lin, Shengjie Wang, Hongzheng Zeng

IEICE Electron. Express, 2023

Diffusion Cocktail: Fused Generation from Diffusion Models.

Haoming Liu, Yuanhe Guo, Shengjie Wang, Hongyi Wen

CoRR, 2023

DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands.

Fengbo Lan, Shengjie Wang, Yunzhe Zhang, Haotian Xu, Oluwatosin Oseni, Yang Gao, Tao Zhang

CoRR, 2023

Foundation Reinforcement Learning: towards Embodied Generalist Agents with Foundation Prior Assistance.

Weirui Ye, Yunsheng Zhang, Mengchen Wang, Shengjie Wang, Xianfan Gu, Pieter Abbeel, Yang Gao

CoRR, 2023

IMAP: Intrinsically Motivated Adversarial Policy.

Xiang Zheng, Xingjun Ma, Shengjie Wang, Xinyu Wang, Chao Shen, Cong Wang

CoRR, 2023

A Learning-based Adaptive Compliance Method for Symmetric Bi-manual Manipulation.

Yuxue Cao, Shengjie Wang, Xiang Zheng, Wenke Ma, Tao Zhang

CoRR, 2023

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization.

Haotian Xu, Shengjie Wang, Zhaolei Wang, Qing Zhuo, Tao Zhang

CoRR, 2023

A RL-based Policy Optimization Method Guided by Adaptive Stability Certification.

Shengjie Wang, Fengbo Lan, Xiang Zheng, Yuxue Cao, Oluwatosin Oseni, Haotian Xu, Yang Gao, Tao Zhang

CoRR, 2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Efficient Exploration Using Extra Safety Budget in Constrained Policy Optimization.

Haotian Xu, Shengjie Wang, Zhaolei Wang, Yunzhe Zhang, Qing Zhuo, Yang Gao, Tao Zhang

IROS, 2023

Machine Learning Force Fields with Data Cost Aware Training.

Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao

Proceedings of the International Conference on Machine Learning, 2023

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

Proceedings of the Conference on Robot Learning, 2023

PSLF: Defending Against Label Leakage in Split Learning.

Xinwei Wan, Jiankai Sun, Shengjie Wang, Lei Chen, Zhenzhe Zheng, Fan Wu, Guihai Chen

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions.

Qing Shi, Junhui Gao, Shengjie Wang, Xiaolong Quan, Guanglu Jia, Qiang Huang, Toshio Fukuda

IEEE Trans. Robotics, 2022

Combating Stealthy Thermal Covert Channel Attack With Its Thermal Signal Transmitted in Direct Sequence Spread Spectrum.

Xiaohang Wang, Shengjie Wang, Yingtao Jiang, Amit Kumar Singh, Mei Yang, Letian Huang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Kinetostatic backflip strategy for self-recovery of quadruped robots with the selected rotation axis.

Shengjie Wang, Kun Wang, Chunsong Zhang, Jian S. Dai

Robotica, 2022

Collision-Free Trajectory Planning for a 6-DoF Free-Floating Space Robot via Hierarchical Decoupling Optimization.

Shengjie Wang, Yuxue Cao, Xiang Zheng, Tao Zhang

IEEE Robotics Autom. Lett., 2022

Reinforcement Learning with Prior Policy Guidance for Motion Planning of Dual-Arm Free-Floating Space Robot.

Yuxue Cao, Shengjie Wang, Xiang Zheng, Wenke Ma, Xinru Xie, Lei Liu

CoRR, 2022

A Learning System for Motion Planning of Free-Float Dual-Arm Space Manipulator towards Non-Cooperative Object.

Shengjie Wang, Yuxue Cao, Xiang Zheng, Tao Zhang

CoRR, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu

CoRR, 2022

Retrospective Adversarial Replay for Continual Learning.

Lilly Kumari, Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning.

Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DQL-based Wide-area Path Scheduling for Deterministic Time-delay Broadband Services in Power Communication Data Networks.

Run Ma, Xiaobo Li, Guoli Feng, Shuang Wu, Shengjie Wang, Xinnan Ha, Yifan Jia, Peng Lin

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

Dynamic Traffic Anomaly Detection for Broadband Smart Grid Services in Software Defined Networks.

Xiaobo Li, Run Ma, Guoli Feng, Xinnan Ha, Shuang Wu, Shengjie Wang, Peng Lin, Manjun Zhang, Peng Yu

Proceedings of the IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2022

2021

Robust Submodular Partitioning and Linear Models of Deep ReLU Networks.

Shengjie Wang

PhD thesis, 2021

A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar.

Shuo Jiang, Bo Liu, Shengjie Wang

Sensors, 2021

Exploring the representativeness of the M5 competition data.

Evangelos Theodorou, Shengjie Wang, Yanfei Kang, Evangelos Spiliotis, Spyros Makridakis, Vassilios Assimakopoulos

CoRR, 2021

Weathering detection of mudstone based on deep learning.

Bin Yan, HuiHong Huang, Shengjie Wang, Jie Zhu

Proceedings of the SPML 2021: 4th International Conference on Signal Processing and Machine Learning, Beijing, China, August 18, 2021

Constrained Robust Submodular Partitioning.

Shengjie Wang, Tianyi Zhou, Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Multi-Target Trajectory Planning of a 6-DoF Free-Floating Space Robot via Reinforcement Learning.

Shengjie Wang, Xiang Zheng, Yuxue Cao, Tao Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Robust Curriculum Learning: from clean label detection to noisy label self-correction.

Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

Proceedings of the 9th International Conference on Learning Representations, 2021

An Ultra-Low Power K band Balanced Frequency Doubler with a Novel Current-reused Structure.

Yue Gong, Jiangbo Chen, Likang Du, Huiyan Gao, Jiabing Liu, Shengjie Wang, Huan Li, Chunyi Song, Zhiwei Xu

Proceedings of the 47th ESSCIRC 2021, 2021

Curriculum Learning by Optimizing Learning Dynamics.

Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

The Segmentation Method of Target Point Cloud for Polarization-Modulated 3D Imaging.

Shengjie Wang, Bo Liu, Zhen Chen, Heping Li, Shuo Jiang

Sensors, 2020

Curriculum Learning by Dynamic Instance Hardness.

Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Time-Consistent Self-Supervision for Semi-Supervised Learning.

Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Accuracy Improvement of Indoor Real-Time Location Tracking Algorithm for Smart Supermarket Based on Ultra-Wideband.

Guohua Hu, Pascal Feldhaus, Yuwu Feng, Shengjie Wang, Juan Zheng, Huimin Duan, Juanjuan Gu

Int. J. Pattern Recognit. Artif. Intell., 2019

Jumpout : Improved Dropout for Deep Neural Networks with ReLUs.

Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Also Matters: Bias Attribution for Deep Neural Network Explanation.

Shengjie Wang, Tianyi Zhou, Jeff A. Bilmes

Proceedings of the 36th International Conference on Machine Learning, 2019

Fixing Mini-batch Sequences with Hierarchical Robust Partitioning.

Shengjie Wang, Wenruo Bai, Chandrashekhar Lavania, Jeff A. Bilmes

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Design and Control of a Miniature Quadruped Rat-inspired Robot.

Shengjie Wang, Qing Shi, Junhui Gao, Yuxuan Wang, Fansheng Meng, Chang Li, Qiang Huang, Toshio Fukuda

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2018

Diverse Ensemble Evolution: Curriculum Data-Model Marriage.

Tianyi Zhou, Shengjie Wang, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Design of a Compact Rat-inspired Waist Mechanism for a Biomimetic Robot.

Mengchao Ma, Qing Shi, Chang Li, Zihang Gao, Shengjie Wang, Mingjie Zou, Qiang Huang, Toshio Fukuda

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2018

2017

Training Compressed Fully-Connected Networks with a Density-Diversity Penalty.

Shengjie Wang, Haoran Cai, Jeff A. Bilmes, William S. Noble

Proceedings of the 5th International Conference on Learning Representations, 2017

Do Deep Convolutional Nets Really Need to be Deep and Convolutional?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson, Rich Caruana

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Do Deep Convolutional Nets Really Need to be Deep (Or Even Convolutional)?

Gregor Urban, Krzysztof J. Geras, Samira Ebrahimi Kahou, Özlem Aslan, Shengjie Wang, Rich Caruana, Abdelrahman Mohamed, Matthai Philipose, Matthew Richardson

CoRR, 2016

Faster and more accurate graphical model identification of tandem mass spectra using trellises.

Shengjie Wang, John T. Halloran, Jeff A. Bilmes, William S. Noble

Bioinform., 2016

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, Özlem Aslan

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation.

Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes

CoRR, 2015

Compressing LSTMs into CNNs.

Krzysztof J. Geras, Abdel-rahman Mohamed, Rich Caruana, Gregor Urban, Shengjie Wang, Özlem Aslan, Matthai Philipose, Matthew Richardson, Charles Sutton

CoRR, 2015

Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications.

Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2013

Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream.

Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang

Proc. VLDB Endow., 2013

The tasks with effects model for safe concurrency.

Stephen Heumann, Vikram S. Adve, Shengjie Wang

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

2012

Multiple Location Profiling for Users and Relationships from Social Network and Content.

Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang

Proc. VLDB Endow., 2012

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

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Design of Intelligent Decision-making System in Multi-UUV Formation Control Simulation.

Hong Han, Fengju Kang, Shengjie Wang

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011