Clipper: A Low-Latency Online Prediction Serving System. - Daniel Crankshaw; Xin Wang 066; Giulio Zhou; Michael J. Franklin; Joseph E. Gonzalez; Ion Stoica (NSDI, 2017)

IDK Cascades: Fast Deep Learning by Learning not to Overthink. - Xin Wang 066; Yujia Luo; Daniel Crankshaw; Alexey Tumanov; Joseph E. Gonzalez (CoRR, 2017)

SkipNet: Learning Dynamic Routing in Convolutional Networks. - Xin Wang 066; Fisher Yu 001; Zi-Yi Dou; Joseph E. Gonzalez (CoRR, 2017)

SkipNet: Learning Dynamic Routing in Convolutional Networks. - Xin Wang 066; Fisher Yu 001; Zi-Yi Dou; Trevor Darrell; Joseph E. Gonzalez (ECCV (13), 2018)

IDK Cascades: Fast Deep Learning by Learning not to Overthink. - Xin Wang 066; Yujia Luo; Daniel Crankshaw; Alexey Tumanov; Fisher Yu 001; Joseph E. Gonzalez (UAI, 2018)

Deep Mixture of Experts via Shallow Embedding. - Xin Wang 066; Fisher Yu 001; Ruth Wang; Yi-An Ma; Azalia Mirhoseini; Trevor Darrell; Joseph E. Gonzalez (CoRR, 2018)

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video. - Samvit Jain; Xin Wang 066; Joseph E. Gonzalez (CVPR, 2019)

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning. - Xin Wang 066; Fisher Yu 001; Ruth Wang; Trevor Darrell; Joseph E. Gonzalez (CVPR, 2019)

Few-Shot Object Detection via Feature Reweighting. - Bingyi Kang; Zhuang Liu 003; Xin Wang 066; Fisher Yu 001; Jiashi Feng; Trevor Darrell (ICCV, 2019)

ACE: Adapting to Changing Environments for Semantic Segmentation. - Zuxuan Wu; Xin Wang 066; Joseph Gonzalez 001; Tom Goldstein; Larry Davis 001 (ICCV, 2019)

Deep Mixture of Experts via Shallow Embedding. - Xin Wang 066; Fisher Yu 001; Lisa Dunlap; Yi-An Ma; Ruth Wang; Azalia Mirhoseini; Trevor Darrell; Joseph E. Gonzalez (UAI, 2019)

Task-Aware Deep Sampling for Feature Generation. - Xin Wang 066; Fisher Yu 001; Trevor Darrell; Joseph E. Gonzalez (CoRR, 2019)

Domain-Aware Dynamic Networks. - Tianyuan Zhang; Bichen Wu; Xin Wang 066; Joseph Gonzalez 001; Kurt Keutzer (CoRR, 2019)

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning. - Fisher Yu 001; Haofeng Chen; Xin Wang 066; Wenqi Xian; Yingying Chen; Fangchen Liu; Vashisht Madhavan; Trevor Darrell (CVPR, 2020)

Learning Saliency Propagation for Semi-Supervised Instance Segmentation. - Yanzhao Zhou; Xin Wang 066; Jianbin Jiao; Trevor Darrell; Fisher Yu 001 (CVPR, 2020)

Frustratingly Simple Few-Shot Object Detection. - Xin Wang 066; Thomas E. Huang; Joseph Gonzalez 001; Trevor Darrell; Fisher Yu 001 (ICML, 2020)

The Design of Dynamic Neural Networks for Efficient Learning and Inference - Xin Wang 066 (2020)

Robust Object Detection via Instance-Level Temporal Cycle Confusion. - Xin Wang 066; Thomas E. Huang; Benlin Liu; Fisher Yu 001; Xiaolong Wang 004; Joseph E. Gonzalez; Trevor Darrell (ICCV, 2021)

Wanderlust: Online Continual Object Detection in the Real World. - Jianren Wang; Xin Wang 066; Yue Shang-Guan; Abhinav Gupta 001 (ICCV, 2021)

Instance-Aware Predictive Navigation in Multi-Agent Environments. - Jinkun Cao; Xin Wang 066; Trevor Darrell; Fisher Yu 001 (ICRA, 2021)

Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty. - Charles Packer; Nicholas Rhinehart; Rowan Thomas McAllister; Matthew A. Wright; Xin Wang 066; Jeff He; Sergey Levine; Joseph E. Gonzalez (CoRL, 2022)

DETReg: Unsupervised Pretraining with Region Priors for Object Detection. - Amir Bar; Xin Wang 066; Vadim Kantorov; Colorado J. Reed; Roei Herzig; Gal Chechik; Anna Rohrbach; Trevor Darrell; Amir Globerson (CVPR, 2022)

Robust Contrastive Learning against Noisy Views. - Ching-Yao Chuang; R. Devon Hjelm; Xin Wang 066; Vibhav Vineet; Neel Joshi; Antonio Torralba 001; Stefanie Jegelka; Yale Song (CVPR, 2022)

Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. - Xuefeng Du; Xin Wang 066; Gabriel Gozum; Yixuan Li 001 (CVPR, 2022)

Neural-Sim: Learning to Generate Training Data with NeRF. - Yunhao Ge; Harkirat S. Behl; Jiashu Xu; Suriya Gunasekar; Neel Joshi; Yale Song; Xin Wang 066; Laurent Itti; Vibhav Vineet (ECCV (23), 2022)

Context-Aware Streaming Perception in Dynamic Environments. - Gur-Eyal Sela; Ionel Gog; Justin Wong; Kumar Krishna Agrawal; Xiangxi Mo; Sukrit Kalra; Peter Schafhalter; Eric Leong; Xin Wang 066; Bharathan Balaji; Joseph Gonzalez 001; Ion Stoica (ECCV (38), 2022)

Visual Attention Emerges from Recurrent Sparse Reconstruction. - Baifeng Shi; Yale Song; Neel Joshi; Trevor Darrell; Xin Wang 066 (ICML, 2022)

Doubly Right Object Recognition: A Why Prompt for Visual Rationales. - Chengzhi Mao; Revant Teotia; Amrutha Sundar; Sachit Menon; Junfeng Yang; Xin Wang 066; Carl Vondrick (CVPR, 2023)

Top-Down Visual Attention from Analysis by Synthesis. - Baifeng Shi; Trevor Darrell; Xin Wang 066 (CVPR, 2023)

Understanding Zero-shot Adversarial Robustness for Large-Scale Models. - Chengzhi Mao; Scott Geng; Junfeng Yang; Xin Wang 066; Carl Vondrick (ICLR, 2023)

Scaling Novel Object Detection with Weakly Supervised Detection Transformers. - Tyler LaBonte; Yale Song; Xin Wang 066; Vibhav Vineet; Neel Joshi (WACV, 2023)

Refocusing Is Key to Transfer Learning. - Baifeng Shi; Siyu Gai; Trevor Darrell; Xin Wang 066 (CoRR, 2023)

Controllable Text-to-Image Generation with GPT-4. - Tianjun Zhang; Yi Zhang 001; Vibhav Vineet; Neel Joshi; Xin Wang 066 (CoRR, 2023)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

When Do We Not Need Larger Vision Models? - Baifeng Shi; Ziyang Wu; Maolin Mao; Xin Wang 066; Trevor Darrell (ECCV (8), 2024)

Gorilla: Large Language Model Connected with Massive APIs. - Shishir G. Patil; Tianjun Zhang; Xin Wang 066; Joseph E. Gonzalez (NeurIPS, 2024)

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. - Jiayu Wang; Yifei Ming; Zhenmei Shi; Vibhav Vineet; Xin Wang 066; Sharon Li 001; Neel Joshi (NeurIPS, 2024)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

Phi-4 Technical Report. - Marah I Abdin; Jyoti Aneja; Harkirat S. Behl; Sébastien Bubeck; Ronen Eldan; Suriya Gunasekar; Michael Harrison; Russell J. Hewett; Mojan Javaheripi; Piero Kauffmann; James R. Lee; Yin Tat Lee; et al. (CoRR, 2024)