Guanghui Ren

MEGA-CL achieves over 75% accuracy in ADMET predictions, significantly outperforming existing models and showcasing its potential for accelerating drug discovery.

Scaling up robot data and closing the loop with state decoding and automated reward scoring allows a 2B parameter video world simulator to outperform larger, dedicated robotic world models in real-world policy transfer.

Decomposing robotic manipulation into coarse and fine-grained actions isn't just conceptually cleaner—it actually unlocks a sweet spot where learning difficulty is balanced, boosting performance.