Who are the Devils Wearing Prada in New York City? - Kuan-Ting Chen; Kezhen Chen; Peizhong Cong; Winston H. Hsu; Jiebo Luo 001 (ACM Multimedia, 2015)

AutoManner: An Automated Interface for Making Public Speakers Aware of Their Mannerisms. - Mohammad Iftekhar Tanveer; Ru Zhao; Kezhen Chen; Zoe Tiet; Mohammed (Ehsan) Hoque (IUI, 2016)

Action Recognition From Skeleton Data via Analogical Generalization Over Qualitative Representations. - Kezhen Chen; Kenneth D. Forbus (AAAI, 2018)

Human-Like Sketch Object Recognition via Analogical Learning. - Kezhen Chen; Irina Rabkina; Matthew D. McLure; Kenneth D. Forbus (AAAI, 2019)

Natural- to formal-language generation using Tensor Product Representations. - Kezhen Chen; Qiuyuan Huang; Hamid Palangi; Paul Smolensky; Kenneth D. Forbus; Jianfeng Gao 001 (CoRR, 2019)

Simulating Infant Visual Learning by Comparison: An Initial Model. - Kezhen Chen; Kenneth D. Forbus; Dedre Gentner; Susan J. Hespos; Erin M. Anderson (CogSci, 2020)

Mapping natural-language problems to formal-language solutions using structured neural representations. - Kezhen Chen; Qiuyuan Huang; Hamid Palangi; Paul Smolensky; Kenneth D. Forbus; Jianfeng Gao 001 (ICML, 2020)

Visual Relation Detection using Hybrid Analogical Learning. - Kezhen Chen; Kenneth D. Forbus (AAAI, 2021)

NICE: Neural Image Commenting with Empathy. - Kezhen Chen; Qiuyuan Huang; Daniel McDuff; Xiang Gao 011; Hamid Palangi; Jianfeng Wang; Kenneth D. Forbus; Jianfeng Gao 001 (EMNLP (Findings), 2021)

Sketch Recognition via Part-based Hierarchical Analogical Learning. - Kezhen Chen; Kenneth D. Forbus; Balaji Vasan Srinivasan; Niyati Chhaya; Madeline Usher (IJCAI, 2023)

LOWA: Localize Objects in the Wild with Attributes. - Xiaoyuan Guo; Kezhen Chen; Jinmeng Rao; Yawen Zhang; Baochen Sun; Jie Yang (CoRR, 2023)

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models. - Jiaying Lu 001; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Baochen Sun; Carl Yang 001; Jie Yang (CoRR, 2023)

Tackling Vision Language Tasks through Learning Inner Monologues. - Diji Yang; Kezhen Chen; Jinmeng Rao; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (AAAI, 2024)

RedPajama: an Open Dataset for Training Large Language Models. - Maurice Weber; Daniel Y. Fu; Quentin Anthony; Yonatan Oren; Shane Adams; Anton Alexandrov; Xiaozhong Lyu; Huu Nguyen; Xiaozhe Yao; Virginia Adams; Ben Athiwaratkun; Rahul Chalamala; et al. (NeurIPS, 2024)

IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. - Diji Yang; Jinmeng Rao; Kezhen Chen; Xiaoyuan Guo; Yawen Zhang; Jie Yang 002; Yi Zhang 001 (SIGIR, 2024)

Higher Layers Need More LoRA Experts. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Baochen Sun; Ruibo Liu; Daiyi Peng; Yawen Zhang; Xiaoyuan Guo; Jie Yang; V. S. Subrahmanian (CoRR, 2024)

Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model. - Kezhen Chen; Rahul Thapa; Rahul Chalamala; Ben Athiwaratkun; Shuaiwen Leon Song; James Zou 001 (CoRR, 2024)

Hybrid Primal Sketch: Combining Analogy, Qualitative Representations, and Computer Vision for Scene Understanding. - Kenneth D. Forbus; Kezhen Chen; Wangcheng Xu; Madeline Usher (CoRR, 2024)

MoLA: MoE LoRA with Layer-wise Expert Allocation. - Chongyang Gao; Kezhen Chen; Jinmeng Rao; Ruibo Liu; Baochen Sun; Yawen Zhang; Daiyi Peng; Xiaoyuan Guo; V. S. Subrahmanian (NAACL (Findings), 2025)

Reinforcing Thinking through Reasoning-Enhanced Reward Models. - Diji Yang; Linda Zeng; Kezhen Chen; Yi Zhang 001 (CoRR, 2025)

SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image Reasoning. - Andrew Li; Rahul Thapa; Rahul Chalamala; Qingyang Wu; Kezhen Chen; James Zou (CoRR, 2025)