Search Results - "Fu, Haotian"

Study of the Mechanism by Which Curcumin Cooperates with Sestrin2 to Inhibit the Growth of Pancreatic Cancer by Fu, Haotian, Ni, Xiaofeng, Ni, Fubiao, Li, Ding, Sun, Hongwei, Kong, Hongru, Shan, Yunfeng, Dai, Shengjie

“…Background. Pancreatic carcinoma is a malignant tumor with a high fatality rate, and the increased resistance of pancreatic carcinoma to chemotherapy has…”
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Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing by Fu, Haotian, Sun, Hongwei, Kong, Hongru, Lou, Bin, Chen, Hao, Zhou, Yilin, Huang, Chaohao, Qin, Lei, Shan, Yunfeng, Dai, Shengjie

“…Transcriptome analysis is used to study gene expression in human tissues. It can promote the discovery of new therapeutic targets for related diseases by…”
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In-Memory Computing Circuit Implementation of Complex-Valued Hopfield Neural Network for Efficient Portrait Restoration by Hong, Qinghui, Fu, Haotian, Liu, Yiyang, Zhang, Jiliang

“…Complex-valued neural networks have better optimization capabilities, stronger robustness and richer characterization capabilities compared with real-valued…”
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Solving Non-Homogeneous Linear Ordinary Differential Equations Using Memristor-Capacitor Circuit by Fu, Haotian, Hong, Qinghui, Wang, Chunhua, Sun, Jingru, Li, Ya

“…Inhomogeneous linear ordinary differential equations (ODEs) and systems of ODEs can be solved in a variety of ways. However, hardware circuits that can perform…”
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Inhibition of JAK2/STAT3 signaling pathway by panaxadiol limits the progression of pancreatic cancer by Fan, Xuhui, Fu, Haotian, Xie, Ni, Guo, Hangcheng, Fu, Tiantian, Shan, Yunfeng

“…Pancreatic cancer is the fourth leading cause of cancer-related death with the characteristics of chemoresistance and early metastasis. Panaxadiol, a…”
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DS-CIM: A 40nm Asynchronous Dual-Spike Driven, MRAM Compute-In-Memory Macro for Spiking Neural Network by Fu, Haotian, Huang, Yulong, Chen, Tingran, Fu, Chenyi, Ren, Hongwei, Zhou, Yue, Peng, Shouzhong, Zong, Zhirui, Pan, Biao, Cheng, Bojun

“…Compute-in-memory (CIM) based on emerging nonvolatile memory (eNVM) is an effective way to deploy neural networks to low-power edge devices for both storage…”
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PipeCIM: A High-Throughput Computing-In-Memory Microprocessor With Nested Pipeline and RISC-V Extended Instructions by Chen, Tingran, Wang, Wenjia, Chen, Jiaqi, Fu, Haotian, Yi, Wente, Cheng, Bojun, Zhang, He, Pan, Biao

“…The large number of multiply accumulate (MAC) operations in Convolutional Neural Network (CNN) leads to substantial data migration and computation. Although…”
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Upregulation of oxidative stress-responsive 1(OXSR1) predicts poor prognosis and promotes hepatocellular carcinoma progression by Chen, Jianhui, Zhou, Jiangfan, Fu, Haotian, Ni, Xiaofeng, Shan, Yunfeng

“…Many studies reported that Oxidative stress-responsive 1(OXSR1) is closely related to the malignant progression of several malignancies. Nevertheless, the…”
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Statement of Retraction: Upregulation of oxidative stress-responsive 1(OXSR1) predicts poor prognosis and promotes hepatocellular carcinoma progression

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A domain-agnostic approach for characterization of lifelong learning systems by Baker, Megan M., New, Alexander, Aguilar-Simon, Mario, Al-Halah, Ziad, Arnold, Sébastien M.R., Ben-Iwhiwhu, Ese, Brna, Andrew P., Brooks, Ethan, Brown, Ryan C., Daniels, Zachary, Daram, Anurag, Delattre, Fabien, Dellana, Ryan, Eaton, Eric, Fu, Haotian, Grauman, Kristen, Hostetler, Jesse, Iqbal, Shariq, Kent, Cassandra, Ketz, Nicholas, Kolouri, Soheil, Konidaris, George, Kudithipudi, Dhireesha, Learned-Miller, Erik, Lee, Seungwon, Littman, Michael L., Madireddy, Sandeep, Mendez, Jorge A., Nguyen, Eric Q., Piatko, Christine, Pilly, Praveen K., Raghavan, Aswin, Rahman, Abrar, Ramakrishnan, Santhosh Kumar, Ratzlaff, Neale, Soltoggio, Andrea, Stone, Peter, Sur, Indranil, Tang, Zhipeng, Tiwari, Saket, Vedder, Kyle, Wang, Felix, Xu, Zifan, Yanguas-Gil, Angel, Yedidsion, Harel, Yu, Shangqun, Vallabha, Gautam K.

“…Despite the advancement of machine learning techniques in recent years, state-of-the-art systems lack robustness to “real world” events, where the input…”
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RETRACTED ARTICLE: Upregulation of oxidative stress-responsive 1(OXSR1) predicts poor prognosis and promotes hepatocellular carcinoma progression by Chen, Jianhui, Zhou, Jiangfan, Fu, Haotian, Ni, Xiaofeng, Shan, Yunfeng

“…We, the authors, Editors and Publisher of the journal Bioengineered have retracted the following article: "Upregulation of oxidative stress-responsive 1(OXSR1)…”
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EPO: Hierarchical LLM Agents with Environment Preference Optimization by Zhao, Qi, Fu, Haotian, Sun, Chen, Konidaris, George

“…Long-horizon decision-making tasks present significant challenges for LLM-based agents due to the need for extensive planning over multiple steps. In this…”
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Model-based Reinforcement Learning for Parameterized Action Spaces by Zhang, Renhao, Fu, Haotian, Miao, Yilin, Konidaris, George

“…We propose a novel model-based reinforcement learning algorithm -- Dynamics Learning and predictive control with Parameterized Actions (DLPA) -- for…”
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Model-based Lifelong Reinforcement Learning with Bayesian Exploration by Fu, Haotian, Yu, Shangqun, Littman, Michael, Konidaris, George

“…We propose a model-based lifelong reinforcement-learning approach that estimates a hierarchical Bayesian posterior distilling the common structure shared…”
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A Simple and Effective Point-Based Network for Event Camera 6-DOFs Pose Relocalization by Ren, Hongwei, Zhu, Jiadong, Zhou, Yue, Fu, Haotian, Huang, Yulong, Cheng, Bojun

“…Event cameras exhibit remarkable attributes such as high dynamic range, asynchronicity, and low latency, making them highly suitable for vision tasks that…”
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Meta-Learning Parameterized Skills by Fu, Haotian, Yu, Shangqun, Tiwari, Saket, Littman, Michael, Konidaris, George

“…We propose a novel parameterized skill-learning algorithm that aims to learn transferable parameterized skills and synthesize them into a new action space that…”
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CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks by Huang, Yulong, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Liu, Zunchang, Pan, Biao, Cheng, Bojun

“…Spiking neural networks (SNNs) are promising brain-inspired energy-efficient models. Compared to conventional deep Artificial Neural Networks (ANNs), SNNs…”
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Natural Language Reinforcement Learning by Feng, Xidong, Wan, Ziyu, Fu, Haotian, Liu, Bo, Yang, Mengyue, Koushik, Girish A, Hu, Zhiyuan, Wen, Ying, Wang, Jun

“…Reinforcement Learning (RL) mathematically formulates decision-making with Markov Decision Process (MDP). With MDPs, researchers have achieved remarkable…”
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Adaptive Processing for Video Streaming with Energy Constraint: A Multi-Agent Reinforcement Learning Method by Liu, Hongze, Fu, Haotian, Yuan, Shijing, Wu, Chentao, Luo, Yuan, Li, Jie

“…Edge computing is a highly promising technology that empowers mobile devices to offload video streaming tasks to edge servers, thereby improving the video…”
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PRF: Parallel Resonate and Fire Neuron for Long Sequence Learning in Spiking Neural Networks by Huang, Yulong, Liu, Zunchang, Feng, Changchun, Lin, Xiaopeng, Ren, Hongwei, Fu, Haotian, Zhou, Yue, Xing, Hong, Cheng, Bojun

“…Recently, there is growing demand for effective and efficient long sequence modeling, with State Space Models (SSMs) proving to be effective for long sequence…”
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