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Symbolic Visual Reinforcement Learning: A Scalable Framework with Object-Level Abstraction and Differentiable Expression Search


Dec 30, 2022
Wenqing Zheng, S P Sharan, Zhiwen Fan, Kevin Wang, Yihan Xi, Zhangyang Wang

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Search Behavior Prediction: A Hypergraph Perspective


Nov 29, 2022
Yan Han, Edward W Huang, Wenqing Zheng, Nikhil Rao, Zhangyang Wang, Karthik Subbian

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* WSDM 2023 

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Symbolic Distillation for Learned TCP Congestion Control


Oct 24, 2022
S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang

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* Accepted in Advances in Neural Information Processing Systems (NeurIPS), 2022 

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A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking


Oct 14, 2022
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang

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* Accepted by NeurIPS 2022 Dataset and Benchmark Track 

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Symbolic Learning to Optimize: Towards Interpretability and Scalability


Apr 02, 2022
Wenqing Zheng, Tianlong Chen, Ting-Kuei Hu, Zhangyang Wang

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* Published as a conference paper at ICLR 2022 

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Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice


Mar 09, 2022
Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang

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* International Conference on Learning Representations (ICLR), 2022 

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Web of Scholars: A Scholar Knowledge Graph


Feb 23, 2022
Jiaying Liu, Jing Ren, Wenqing Zheng, Lianhua Chi, Ivan Lee, Feng Xia

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* Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020: 2153-2156 

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Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods


Nov 10, 2021
Wenqing Zheng, Edward W Huang, Nikhil Rao, Sumeet Katariya, Zhangyang Wang, Karthik Subbian

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* - 

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Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems


Oct 29, 2021
Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang

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