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PUBLICATIONS

Conference/Workshop/Chapter

  • P. Lu, L. Qiu, W. Yu, S. Welleck, K.-W. Chan. "A Survey of Deep Learning for Mathematical Reasoning". ACL, 2023. [pdf][web][bib]

  • P. Lu, L. Qiu, K.-W. Chang, Y. N. Wu, S.-C. Zhu, T. Rajpurohit, P. Clark, A. Kalyan. "Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning". ICLR, 2023. [pdf][web][code][bib]

  • P. Lu, S. Mishra, T. Xia, L. Qiu, K.-W. Chang, S.-C. Zhu, O. Tafjord, P. Clark, A. Kalyan. "Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering". NeurIPS, 2022. [pdf][web][code][bib]

  • L. Qiu*,  Y. Zhao*, Y. Liang, P. Lu, W. Shi, Z. Yu, S.-C. Zhu. "Towards Socially Intelligent Agents with Mental State Transition and Human Utility". SIGDIAL, 2022. [pdf][bib]

  • L. Qiu, Y. Zhao, J. Li, P. Lu, B. Peng, J. Gao, S.-C. Zhu. "ValueNet: A New Dataset for Human Value Driven Dialogue System". AAAI, 2022. [pdf][paper][web][bib]

  • Y. Zhao, L. Qiu, P. Lu, F. Shi, T. Han, S.-C. Zhu. "Learning from the Tangram to Solve Mini Visual Tasks". AAAI, 2022. [pdf][paper][data][bib]

  • P. Lu, L. Qiu, J. Chen, T. Xia, Y. Zhao, W. Zhang, Z. Yu, X. Liang, S.-C. Zhu. "IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning". NeurIPS 2021, Datasets and Benchmarks Track. [pdf][code][web][bib]

  • L. Qiu, Y. Liang, Y. Zhao, P. Lu, B. Peng, Z. Yu, Y.N. Wu, S.-C. Zhu. "SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues". ACL-IJCNLP, 2021. [pdf][paper][bib]

  • P. Lu, R. Gong, S. Jiang, L. Qiu, S. Huang, X. Liang, S.-C. Zhu. "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning". ACL-IJCNLP, 2021. [pdf][paper][code][web][bib]

  • P. Lu*, R. Gong*, S. Jiang*, L. Qiu, S. Huang, X. Liang, S.-C. Zhu. "Theorem-aware geometry problem solving with symbolic reasoning and theorem prediction". NeurIPS Workshop (MATHAI4ED), 2021. [pdf][bib]

  • P. Lu, L. Qiu, J. Chen, T. Xia, Y. Zhao, W. Zhang, Z. Yu, X. Liang, S.-C. Zhu. "Towards Diagram Understanding and Cognitive Reasoning in Icon Question Answering". NeurIPS Workshop (MATHAI4ED), 2021. [pdf][bib]

  • Y. Liang, W. Han, L. Qiu, C. Wu, Y. Shao, K. Wang, L. He. "Exploring Forensic Dental Identification with Deep Learning". NeurIPS 2021. [pdf][bib]

  • Y. Liang, L. Qiu, T. Lu, Z. Fang, D. Tu, J. Yang, T. Zhao, Y. Shao, K. Wang, X. Chen, L. He. "OralViewer: 3D Demonstration of Dental Surgeries for Patient Education with Oral Cavity Reconstruction from a 2D Panoramic X-ray". IUI, 2021. [pdf][bib]

  • L. Qiu, Y. Zhao, W. Shi, Y. Liang, F. Shi, T. Yuan, Z. Yu, S.-C. Zhu. "Structured Attention for Unsupervised Dialogue Structure Induction". EMNLP, 2020. [pdf][paper][code][bib]

  • Y. Liang, W. Song, J. Yang, L. Qiu, K. Wang, L. He. "Atlas-aware ConvNet for Accurate yet Robust Anatomical Segmentation". ACML, 2020. [pdf][code][bib]

  • Y. Liang, W. Song, J. Yang, L. Qiu, K. Wang, L. He. "X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph". MICCAI, 2020. [pdf][bib]

Preprints/arXiv

  • W. Shi*, L. Qiu*, D. Xu, P. Sui, P. Lu, Z. Yu. "KokoMind: Can Large Language Models Understand Social Interactions?" (2023). [web][data][bib]

  • Y. Zhao, L. Qiu, W. Ai, P. Lu, S.-C. Zhu. "Triangular Character Animation Sampling with Motion, Emotion, and Relation". arXiv preprint arXiv:2203.04930 (2022). [pdf][bib]​​

  • L. Qiu, C.-S. Wu, W. Liu, C. Xiong. "Structure Extraction in Task-Oriented Dialogues with Slot Clustering". arXiv preprint arXiv:2203.00073 (2022). [pdf][code][bib]

  • Y. Zhao, W. Ai, L. Qiu, P. Lu, F. Shi, T. Han, S.-C. Zhu. "GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis." arXiv preprint arXiv:2112.06060 (2021). [pdf][bib]

  • F. Shi, C. Lee, L. Qiu, Y. Zhao, T. Shen, S. Muralidhar, T. Han, S.-C. Zhu, V. Narayanan. "STAR: Sparse Transformer-based Action Recognition". arXiv preprint arXiv:2107.07089 (2021). [pdf][bib]

  • Y. Zhao, L. Qiu, W. Ai, F. Shi, S.-C. Zhu. "Vertical-Horizontal Structured Attention for Generating Music with Chords". arXiv preprint arXiv:2011.09078 (2020). [pdf][bib]

  • L. Qiu, Y. Ding, and L. He. "Recurrent Neural Networks with Pre-trained Language Model Embedding for Slot Filling Task". arXiv preprint arXiv:1812.05199 (2018). [pdf][code][bib]

Thesis/Dissertation

  • L. Qiu. "Conversational Modeling with Human Values, Social Relations, Mental States, and Structure Learning". Diss. UCLA, 2022. [pdf][bib]

  • L. Qiu. "Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-Term Memory, Deep Neural Networks". Diss. UCLA, 2018. [pdf][bib]

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