An Odorant Encoding Machine for Sampling, Reconstruction and Robust Representation of Odorant Identity. - Aurel A. Lazar; Tingkai Liu; Chung-Heng Yeh (ICASSP, 2020)

End-to-End Automation of Feedback on Student Assembly Programs. - Zikai Liu; Tingkai Liu; Qi Li; Wenqing Luo; Steven S. Lumetta (ASE, 2021)

Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. - Tingkai Liu; Marquita Ellis; Carlos H. A. Costa; Claudia Misale; Sara Kokkila Schumacher; Jinwook Jung; Gi-Joon Nam; Volodymyr V. Kindratenko (ISC Workshops, 2023)

SimVLG: Simple and Efficient Pretraining of Visual Language Generative Models. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Soroush Vosoughi; Hongxia Yang (CoRR, 2023)

Video-Teller: Enhancing Cross-Modal Generation with Fusion and Decoupling. - Haogeng Liu; Qihang Fan; Tingkai Liu; Linjie Yang; Yunzhe Tao; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2023)

Video-CSR: Complex Video Digest Creation for Visual-Language Models. - Tingkai Liu; Yunzhe Tao; Haogeng Liu; Qihang Fan; Ding Zhou; Huaibo Huang; Ran He 001; Hongxia Yang (CoRR, 2023)

Let's reward step by step: Step-Level reward model as the Navigators for Reasoning. - Qianli Ma; Haotian Zhou; Tingkai Liu; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (CoRR, 2023)

LoBaSS: Gauging Learnability in Supervised Fine-tuning Data. - Haotian Zhou; Tingkai Liu; Qianli Ma; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (CoRR, 2023)

The functional logic of odor information processing in the Drosophila antennal lobe. - Aurel A. Lazar; Tingkai Liu; Chung-Heng Yeh (PLoS Comput. Biol., 2023)

Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction. - Yiren Jian; Tingkai Liu; Yunzhe Tao; Chunhui Zhang; Soroush Vosoughi; Hongxia Yang (ACL (1), 2024)

DeVAn: Dense Video Annotation for Video-Language Models. - Tingkai Liu; Yunzhe Tao; Haogeng Liu; Qihang Fan; Ding Zhou; Huaibo Huang; Ran He 001; Hongxia Yang (ACL (1), 2024)

Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems. - Tingkai Liu; Huili Tao; Yicheng Lu; Zhongbo Zhu; Marquita Ellis; Sara Kokkila Schumacher; Volodymyr V. Kindratenko (Euro-Par (1), 2024)

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. - Xuwu Wang; Qiwen Cui; Yunzhe Tao; Yiran Wang; Ziwei Chai; Xiaotian Han; Boyi Liu; Jianbo Yuan; Jing Su; Guoyin Wang 002; Tingkai Liu; Liyu Chen; et al. (CoRR, 2024)

ElastiFormer: Learned Redundancy Reduction in Transformer via Self-Distillation. - Junzhang Liu; Tingkai Liu; Yueyuan Sui; Stephen Xia (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

DavIR: Data Selection via Implicit Reward for Large Language Models. - Haotian Zhou; Tingkai Liu; Qianli Ma; Yufeng Zhang; Jianbo Yuan; Pengfei Liu; Yang You 001; Hongxia Yang (ACL (1), 2025)

Token-Level Uncertainty-Aware Objective for Language Model Post-Training. - Tingkai Liu; Ari S. Benjamin; Anthony M. Zador (CoRR, 2025)

FedCostAware: Enabling Cost-Aware Federated Learning on the Cloud. - Aditya Sinha; Zilinghan Li; Tingkai Liu; Volodymyr V. Kindratenko; Kibaek Kim; Ravi K. Madduri (CoRR, 2025)