Academic Reader: An Interactive Question Answering System on Academic Literatures. - Yining Hong; Jialu Wang; Yuting Jia; Weinan Zhang 001; Xinbing Wang (AAAI, 2019)

A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering. - Qing Li 003; Siyuan Huang 001; Yining Hong; Song-Chun Zhu (ECCV (2), 2020)

Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Chen 003; Ying Nian Wu; Song-Chun Zhu (ICML, 2020)

Learning by Fixing: Solving Math Word Problems with Weak Supervision. - Yining Hong; Qing Li 003; Daniel Ciao; Siyuan Huang 001; Song-Chun Zhu (AAAI, 2021)

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. - Yining Hong; Qing Li 003; Ran Gong; Daniel Ciao; Siyuan Huang 001; Song-Chun Zhu (AAAI, 2021)

Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks. - Jinghui Qin; Xiaodan Liang; Yining Hong; Jianheng Tang; Liang Lin (ACL/IJCNLP (1), 2021)

VLGrammar: Grounded Grammar Induction of Vision and Language. - Yining Hong; Qing Li 003; Song-Chun Zhu; Siyuan Huang 001 (ICCV, 2021)

PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning. - Yining Hong; Li Yi 001; Josh Tenenbaum 001; Antonio Torralba 001; Chuang Gan 001 (NeurIPS, 2021)

A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (CoRR, 2021)

Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. - Yining Hong; Kaichun Mo; Li Yi 001; Leonidas J. Guibas; Antonio Torralba 001; Joshua B. Tenenbaum; Chuang Gan 001 (CVPR, 2022)

3D Concept Grounding on Neural Fields. - Yining Hong; Yilun Du; Chunru Lin; Josh Tenenbaum 001; Chuang Gan 001 (NeurIPS, 2022)

3D Concept Learning and Reasoning from Multi-View Images. - Yining Hong; Chunru Lin; Yilun Du; Zhenfang Chen; Joshua B. Tenenbaum; Chuang Gan 001 (CVPR, 2023)

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics. - Qing Li 003; Siyuan Huang 001; Yining Hong; Yixin Zhu 001; Ying Nian Wu; Song-Chun Zhu (ICLR, 2023)

3D-LLM: Injecting the 3D World into Large Language Models. - Yining Hong; Haoyu Zhen; Peihao Chen; Shuhong Zheng; Yilun Du; Zhenfang Chen; Chuang Gan 001 (NeurIPS, 2023)

See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning. - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Hao Zhang; Chuang Gan 001 (CoRR, 2023)

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning. - Zhenfang Chen; Qinhong Zhou; Yikang Shen; Yining Hong; Zhiqing Sun; Dan Gutfreund; Chuang Gan 001 (AAAI, 2024)

MultiPLY: A Multisensory Object-Centric Embodied Large Language Model in 3D World. - Yining Hong; Zishuo Zheng; Peihao Chen; Yian Wang 001; Junyan Li; Chuang Gan 001 (CVPR, 2024)

FlexAttention for Efficient High-Resolution Vision-Language Models. - Junyan Li; Delin Chen; Tianle Cai; Peihao Chen; Yining Hong; Zhenfang Chen; Yikang Shen; Chuang Gan 001 (ECCV (25), 2024)

GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules. - Zhenfang Chen; Rui Sun; Wenjun Liu; Yining Hong; Chuang Gan 001 (ICLR, 2024)

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding. - Junyan Li; Delin Chen; Yining Hong; Zhenfang Chen; Peihao Chen; Yikang Shen; Chuang Gan 001 (ICLR, 2024)

3D-VLA: A 3D Vision-Language-Action Generative World Model. - Haoyu Zhen; Xiaowen Qiu; Peihao Chen; Jincheng Yang; Xin Yan 008; Yilun Du; Yining Hong; Chuang Gan 001 (ICML, 2024)

What Is Wrong with My Model? Identifying Systematic Problems with Semantic Data Slicing. - Chenyang Yang 002; Yining Hong; Grace A. Lewis; Tongshuang Wu; Christian Kästner (ASE, 2024)

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation. - Yining Hong; Beide Liu; Maxine Wu; Yuanhao Zhai 001; Kai-Wei Chang; Lingjie Li; Kevin Lin; Chung-Ching Lin; Jianfeng Wang; Zhengyuan Yang; Yingnian Wu; Lijuan Wang (CoRR, 2024)

From Hazard Identification to Controller Design: Proactive and LLM-Supported Safety Engineering for ML-Powered Systems. - Yining Hong; Christopher Steven Timperley; Christian Kästner (CAIN, 2025)

SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation. - Yining Hong; Beide Liu; Maxine Wu; Yuanhao Zhai 001; Kai-Wei Chang; Linjie Li; Kevin Lin; Chung-Ching Lin; Jianfeng Wang; Zhengyuan Yang; Ying Nian Wu; Lijuan Wang (ICLR, 2025)

3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model. - Wenbo Hu 006; Yining Hong; Yanjun Wang; Leison Gao; Zibu Wei; Xingcheng Yao; Nanyun Peng 001; Yonatan Bitton; Idan Szpektor; Kai-Wei Chang (CoRR, 2025)

Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence. - Yining Hong; Rui Sun; Bingxuan Li; Xingcheng Yao; Maxine Wu; Alexander Chien; Da Yin; Ying Nian Wu; Zhecan James Wang; Kai-Wei Chang (CoRR, 2025)