Research output per year
Research output per year
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Dive into the research topics where He Zhu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent
Chen, Z., Silvestri, F., Tolomei, G., Wang, J., Zhu, H. & Ahn, H., 2022, (Accepted/In press) In: IEEE Transactions on Artificial Intelligence. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
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Graph collaborative reasoning
Chen, H., Li, Y., Shi, S., Liu, S., Zhu, H. & Zhang, Y., Feb 11 2022, WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 75-84 10 p. (WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS)
Chen, H., Li, Y., Zhu, H. & Zhang, Y., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 169-179 11 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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ReLAX: Reinforcement Learning Agent Explainer for Arbitrary Predictive Models
Chen, Z., Silvestri, F., Wang, J., Zhu, H., Ahn, H. & Tolomei, G., Oct 17 2022, CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 252-261 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Differentiable Synthesis of Program Architectures
Cui, G. & Zhu, H., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 11123-11135 13 p. (Advances in Neural Information Processing Systems; vol. 14).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review