Secure Data Sharing With Flow Model. - Chenwei Wu 002; Chenzhuang Du; Yang Yuan (CoRR, 2020)

What Makes Multi-Modal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (NeurIPS, 2021)

What Makes Multimodal Learning Better than Single (Provably). - Yu Huang 023; Chenzhuang Du; Zihui Xue; Xuanyao Chen; Hang Zhao; Longbo Huang (CoRR, 2021)

Improving Multi-Modal Learning with Uni-Modal Teachers. - Chenzhuang Du; Tingle Li; Yichen Liu; Zixin Wen; Tianyu Hua; Yue Wang 041; Hang Zhao (CoRR, 2021)

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning. - Yue Zhao; Chenzhuang Du; Hang Zhao; Tiejun Li (ICRA, 2022)

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning. - Chenzhuang Du; Jiaye Teng; Tingle Li; Yichen Liu; Tianyuan Yuan; Yue Wang; Yang Yuan; Hang Zhao (ICML, 2023)

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory. - Chenxu Hu; Jie Fu; Chenzhuang Du; Simian Luo; Junbo Zhao; Hang Zhao (CoRR, 2023)

Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models. - Chenzhuang Du; Yue Zhao; Chonghua Liao; Jiacheng You; Jie Fu; Hang Zhao (CoRR, 2023)

What Makes for Robust Multi-Modal Models in the Face of Missing Modalities? - Siting Li; Chenzhuang Du; Yue Zhao; Yu Huang; Hang Zhao (CoRR, 2023)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Kimi K2: Open Agentic Intelligence. - Yifan Bai; Yiping Bao; Guanduo Chen; Jiahao Chen; Ningxin Chen; Ruijue Chen; Yanru Chen; Yuankun Chen; Yutian Chen; Zhuofu Chen; Jialei Cui; Hao Ding; et al. (CoRR, 2025)