Lu Zeng — accepted AI-conference papers

2025

Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion

Zhifei Chen, Tianshuo Xu, Wenhang Ge, Leyi Wu, Dongyu Yan, Jing He +4

CVPR 2025poster

Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution transfer function from intrinsic properties to RGB images. Despite achieving promising results of existing rendering metho…

Cited by 0 Source ↗PDF ↗Scholar ↗

2023

Conversational Text-to-SQL: An Odyssey into State-of-the-Art and Challenges Ahead

Sree Hari Krishnan Parthasarathi, Lu Zeng, Dilek Hakkani-Tür

ICASSP 2023accepted

Conversational, multi-turn, text-to-SQL (CoSQL) tasks map natural language utterances in a dialogue to SQL queries. State-of-the-art (SOTA) systems use large, pre-trained and finetuned language models, such as the T5-family, in conjunction with constrained decoding. With multi-tasking (MT) over cohe…

Cited by 0 Source ↗Scholar ↗