Transfer Learning based Search Space Design for Hyperparameter Tuning. - Yang Li 106; Yu Shen 003; Huaijun Jiang; Tianyi Bai; Wentao Zhang 001; Ce Zhang 001; Bin Cui 001 (KDD, 2022)

Transfer Learning for Bayesian Optimization: A Survey. - Tianyi Bai; Yang Li 106; Yu Shen 003; Xinyi Zhang 002; Wentao Zhang 001; Bin Cui 001 (CoRR, 2023)

A Survey of Multimodal Large Language Model from A Data-centric Perspective. - Tianyi Bai; Hao Liang; Binwang Wan; Ling Yang 006; Bozhou Li; Yifan Wang; Bin Cui 001; Conghui He; Binhang Yuan; Wentao Zhang 001 (CoRR, 2024)

KeyVideoLLM: Towards Large-scale Video Keyframe Selection. - Hao Liang; Jiapeng Li; Tianyi Bai; Xijie Huang; Linzhuang Sun; Zhengren Wang; Conghui He; Bin Cui 001; Chong Chen 001; Wentao Zhang 001 (CoRR, 2024)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ye Yuan 001; Guoren Wang; Conghui He (CoRR, 2024)

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Jiahui Peng; Xinlin Zhuang; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (CoRR, 2024)

UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios. - Baichuan Zhou; Haote Yang; Dairong Chen; Junyan Ye; Tianyi Bai; Jinhua Yu; Songyang Zhang; Dahua Lin; Conghui He; Weijia Li (AAAI, 2025)

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Fupeng Sun; Xinlin Zhuang; Jiahui Peng; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (ACL (1), 2025)

Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models. - Xinlin Zhuang; Jiahui Peng; Ren Ma; Yinfan Wang; Tianyi Bai; Xingjian Wei; Jiantao Qiu; Chi Zhang; Ying Qian; Conghui He (ACL (1), 2025)

LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models. - Junyan Ye; Baichuan Zhou; Zilong Huang; Junan Zhang; Tianyi Bai; Hengrui Kang; Jun He; Honglin Lin; Zihao Wang; Tong Wu; Zhizheng Wu 001; Yiping Chen; et al. (ICLR, 2025)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models. - Chi Zhang; Huaping Zhong; Kuan Zhang; Chengliang Chai; Rui Wang 119; Xinlin Zhuang; Tianyi Bai; Jiantao Qiu; Lei Cao 004; Ju Fan; Ye Yuan 001; Guoren Wang; et al. (ICLR, 2025)

Fast, Secure, Adaptable: LionsOS Design, Implementation and Performance. - Gernot Heiser; Ivan Velickovic; Peter Chubb; Alwin Joshy; Anuraag Ganesh; Bill Nguyen; Cheng Li; Courtney Darville; Guangtao Zhu; James Archer; Jingyao Zhou; Krishnan Winter; et al. (CoRR, 2025)

Unsupervised Topic Models are Data Mixers for Pre-training Language Models. - Jiahui Peng; Xinlin Zhuang; Jiantao Qiu; Ren Ma; Jing Yu; Tianyi Bai; Conghui He (CoRR, 2025)

TAH-QUANT: Effective Activation Quantization in Pipeline Parallelism over Slow Network. - Guangxin He; Yuan Cao; Yutong He; Tianyi Bai; Kun Yuan 001; Binhang Yuan (CoRR, 2025)

Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning. - Tianyi Bai; Yuxuan Fan; Jiantao Qiu; Fupeng Sun; Jiayi Song; Junlin Han; Zichen Liu; Conghui He; Wentao Zhang 001; Binhang Yuan (CoRR, 2025)

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification. - Tianyi Bai; Zengjie Hu; Fupeng Sun; Jiantao Qiu; Yizhen Jiang; Guangxin He; Bohan Zeng; Conghui He; Binhang Yuan; Wentao Zhang 001 (CoRR, 2025)