Optical Flow Based Motion Detection for Autonomous Driving. - Ka Man Lo (CoRR, 2022)

Revisit MTN: High-resolution Features Deserve More Attention. - Ka Man Lo (MORE@ICMR, 2024)

m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers. - Ka Man Lo; Yiming Liang; Wenyu Du; Yuantao Fan; Zili Wang; Wenhao Huang 001; Lei Ma 008; Jie Fu 001 (CoRR, 2024)

MuPT: A Generative Symbolic Music Pretrained Transformer. - Xingwei Qu; Yuelin Bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xinrun Du; Shuyue Guo; et al. (CoRR, 2024)

MuPT: A Generative Symbolic Music Pretrained Transformer. - Xingwei Qu; Yuelin Bai; Yinghao Ma; Ziya Zhou; Ka Man Lo; Jiaheng Liu; Ruibin Yuan; Lejun Min; Xueling Liu; Tianyu Zhang; Xeron Du; Shuyue Guo; et al. (ICLR, 2025)

A Closer Look into Mixture-of-Experts in Large Language Models. - Ka Man Lo; Zeyu Huang; Zihan Qiu; Zili Wang; Jie Fu 001 (NAACL (Findings), 2025)

Can Mixture-of-Experts Surpass Dense LLMs Under Strictly Equal Resources? - Houyi Li; Ka Man Lo; Ziqi Wang; Zili Wang; Wenzhen Zheng; Shuigeng Zhou; Xiangyu Zhang 005; Daxin Jiang (CoRR, 2025)

Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding. - Bin Wang; Bojun Wang; Changyi Wan; Guanzhe Huang; Hanpeng Hu; Haonan Jia; Nie Hao; Mingliang Li; Nuo Chen; Siyu Chen; Song Yuan; Wuxun Xie; et al. (CoRR, 2025)