Yiyang Ling
I am a first year PhD student in Computer Science at University of Southern California, advised by Prof. Daniel Seita.
I received my Bachelor's degree at ACM Honors Class, Shanghai Jiao Tong University.
My research interest lies in robot learning.
Previously, I worked as a student intern at University of California San Diego, under the supervision of Prof. Xiaolong Wang.
Before this, I gained valuable experience as a research assistant in the SJTU Machine Vision and Intelligence Group, where I was advised by Prof. Cewu Lu.
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GenSim: Generating Robotic Simulation Tasks via Large Language Models
Lirui Wang, Yiyang Ling*, Zhecheng Yuan*, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
Workshop on Language Grounding and Robot Learning, CoRL 2023 (Best Paper); International Conference on Learning Representations (ICLR), 2024 (Spotlight)
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In this work, we propose to automatically generate rich simulation environments and expert demonstrations by exploiting LLMs’ grounding and coding ability. Our approach has two modes: goal-directed generation, wherein LLM proposes a task curriculum to solve a target task, and exploratory generation, wherein LLM bootstraps from previous tasks and iteratively proposes novel complex tasks.
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TC-CNE: Scalable Tensorized Contrastive Cross-Network Embedding
Hao Xiong, Yiyang Ling, Junchi Yan
We propose a scalable tensorized cross-network embedding method based on contrastive learning by introducing the utilization of CP Decomposition and intra/inter-network sub-embeddings. We achieve to save storage space and accelerate embedding learning simultaneously in a unified training pipeline.
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