RGB Matters: Learning 7-DoF Grasp Poses on Monocular RGBD Images. - Minghao Gou; Haoshu Fang; Zhanda Zhu; Sheng Xu; Chenxi Wang 003; Cewu Lu (ICRA, 2021)

Tempo: Accelerating Transformer-Based Model Training through Memory Footprint Reduction. - Muralidhar Andoorveedu; Zhanda Zhu; Bojian Zheng; Gennady Pekhimenko (NeurIPS, 2022)

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. - Zhengyi Li 002; Cong Guo 003; Zhanda Zhu; Yangjie Zhou 001; Yuxian Qiu; Xiaotian Gao; Jingwen Leng; Minyi Guo (CoRR, 2022)

Mist: Efficient Distributed Training of Large Language Models via Memory-Parallelism Co-Optimization. - Zhanda Zhu; Christina Giannoula; Muralidhar Andoorveedu; Qidong Su; Karttikeya Mangalam; Bojian Zheng; Gennady Pekhimenko (EuroSys, 2025)

Seesaw: High-throughput LLM Inference via Model Re-sharding. - Qidong Su; Wei Zhao; Xin Li; Muralidhar Andoorveedu; Chenhao Jiang; Zhanda Zhu; Kevin Song; Christina Giannoula; Gennady Pekhimenko (CoRR, 2025)