Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

Multi-Behavior Sequential Transformer Recommender. - Enming Yuan; Wei Guo 006; Zhicheng He 001; Huifeng Guo; Chengkai Liu; Ruiming Tang (SIGIR, 2022)

Compressed Interaction Graph based Framework for Multi-behavior Recommendation. - Wei Guo 006; Chang Meng; Enming Yuan; Zhicheng He 001; Huifeng Guo; Yingxue Zhang 001; Bo Chen 023; Yaochen Hu 001; Ruiming Tang; Xiu Li 001; Rui Zhang 003 (WWW, 2023)

Uncertainty Set Learning for Adaptive Robust Economic Dispatch. - Nan Gu; Enming Yuan; Chenye Wu (IEEE Control. Syst. Lett., 2024)

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)

MoBA: Mixture of Block Attention for Long-Context LLMs. - Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; 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)