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Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving


Aug 24, 2022
Haochen Liu, Zhiyu Huang, Xiaoyu Mo, Chen Lv


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STrajNet: Occupancy Flow Prediction via Multi-modal Swin Transformer


Jul 31, 2022
Haochen Liu, Zhiyu Huang, Chen Lv


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Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving


Jul 21, 2022
Zhiyu Huang, Haochen Liu, Jingda Wu, Chen Lv


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Toward Annotator Group Bias in Crowdsourcing


Oct 08, 2021
Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang

* 10 pages 

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Trustworthy AI: A Computational Perspective


Aug 02, 2021
Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

* 55 pages 

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AutoLoss: Automated Loss Function Search in Recommendations


Jun 12, 2021
Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang

* Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 

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The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification


May 06, 2021
Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang

* Accepted by Findings of ACL 2021 

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Improved Deep Reinforcement Learning with Expert Demonstrations for Urban Autonomous Driving


Feb 18, 2021
Haochen Liu, Zhiyu Huang, Chen Lv


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Personalized Multimodal Feedback Generation in Education


Oct 31, 2020
Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang

* Accepted in The 28th International Conference on Computational Linguistics (COLING 2020) 

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