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Kun Zhang

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An Efficient Finite Difference Approximation via a Double Sample-Recycling Approach

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May 09, 2024
Guo Liang, Guangwu Liu, Kun Zhang

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A Conditional Independence Test in the Presence of Discretization

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Apr 26, 2024
Boyang Sun, Yu Yao, Huangyuan Hao, Yumou Qiu, Kun Zhang

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POMDP-Guided Active Force-Based Search for Robotic Insertion

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Apr 05, 2024
Chen Wang, Haoxiang Luo, Kun Zhang, Hua Chen, Jia Pan, Wei Zhang

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Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model

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Mar 26, 2024
Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu, Yanlong Du

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Identifiable Latent Neural Causal Models

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Mar 23, 2024
Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi

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Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View

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Mar 21, 2024
Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang

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Local Causal Discovery with Linear non-Gaussian Cyclic Models

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Mar 21, 2024
Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang

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Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework

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Mar 13, 2024
Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu

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Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

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Feb 27, 2024
Loka Li, Guangyi Chen, Yusheng Su, Zhenhao Chen, Yixuan Zhang, Eric Xing, Kun Zhang

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Federated Causal Discovery from Heterogeneous Data

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Feb 27, 2024
Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang

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