Leveraging test plan quality to improve code review efficacy. - Lawrence Chen 002; Rui Abreu 001; Tobi Akomolede; Peter C. Rigby; Satish Chandra 001; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2022)

Understanding why we cannot model how long a code review will take: an industrial case study. - Lawrence Chen 002; Peter C. Rigby; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2022)

Using nudges to accelerate code reviews at scale. - Qianhua Shan; David Sukhdeo; Qianying Huang; Seth Rogers; Lawrence Chen 002; Elise Paradis; Peter C. Rigby; Nachiappan Nagappan (ESEC/SIGSOFT FSE, 2022)

LEGO: Learning EGOcentric Action Frame Generation via Visual Instruction Tuning. - Bolin Lai; Xiaoliang Dai; Lawrence Chen 002; Guan Pang; James M. Rehg; Miao Liu 007 (ECCV (9), 2024)

Animated Stickers: Bringing Stickers to Life with Video Diffusion. - David Yan; Winnie Zhang; Luxin Zhang; Anmol Kalia; Dingkang Wang; Ankit Ramchandani; Miao Liu 007; Albert Pumarola; Edgar Schönfeld; Elliot Blanchard; Krishna Narni; Yaqiao Luo; et al. (CoRR, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

TLDR: Token-Level Detective Reward Model for Large Vision Language Models. - Deqing Fu; Tong Xiao; Rui Wang; Wang Zhu 001; Pengchuan Zhang; Guan Pang; Robin Jia; Lawrence Chen 002 (ICLR, 2025)