Fast efficient algorithm for enhancement of low lighting video. - Xuan Dong 001; Guan Wang; Yi Pang; Weixin Li 001; Jiangtao Wen; Wei Meng 001; Yao Lu 006 (ICME, 2011)

An Efficient and Integrated Algorithm for Video Enhancement in Challenging Lighting Conditions - Xuan Dong 001; Jiangtao Wen; Weixin Li 001; Yi Pang; Guan Wang; Yao Lu 006; Wei Meng 001 (CoRR, 2011)

Ultra Fast H.264/AVC to HEVC Transcoder. - Tong Shen; Yao Lu 006; Ziyu Wen; Linxi Zou; Yucong Chen; Jiangtao Wen (DCC, 2013)

Cross Segment Decoding for Improved Quality of Experience for Video Applications. - Jiangtao Wen; Shunyao Li; Yao Lu 006; Meiyuan Fang; Xuan Dong 001; Huiwen Chang; Pin Tao (DCC, 2013)

Cross Segment Decoding of HEVC for Network Video Applications. - Jiangtao Wen; Bohan Li; Shunyao Li; Yao Lu 006; Pin Tao (PV, 2013)

Image Super-Resolution Via Analysis Sparse Prior. - Qiang Ning; Kan Chen; Li Yi; Chuchu Fan; Yao Lu 006; Jiangtao Wen (IEEE Signal Process. Lett., 2013)

Enhancing Cloud Mobile 3D display gaming user experience by asymmetric graphics rendering. - Yao Lu 006; Yao Liu 008; Sujit Dey (ICNC, 2014)

Motion data alignment for real-time guidance in avatar based physical therapy training system. - Dennis Shen; Yao Lu 006; Sujit Dey (HealthCom, 2015)

Optimizing Cloud Mobile 3D Display Gaming user experience by asymmetric object of interest rendering. - Yao Lu 006; Yao Liu 008; Sujit Dey (ICC, 2015)

Motion data alignment and real-time guidance in cloud-based virtual training system. - Wenchuan Wei; Yao Lu 006; Catherine D. Printz; Sujit Dey (Wireless Health, 2015)

Cloud Mobile 3D Display Gaming User Experience Modeling and Optimization by Asymmetric Graphics Rendering. - Yao Lu 006; Yao Liu 008; Sujit Dey (IEEE J. Sel. Top. Signal Process., 2015)

Enhancing Video Encoding for Cloud Gaming Using Rendering Information. - Yao Liu 008; Sujit Dey; Yao Lu 006 (IEEE Trans. Circuits Syst. Video Technol., 2015)

PREMIX: PRivacy-preserving EstiMation of Individual admiXture. - Feng Chen 016; Michelle Dow; Sijie Ding; Yao Lu 006; Xiaoqian Jiang; Hua Tang; Shuang Wang 002 (AMIA, 2016)

Novel 3D-WPP algorithms for parallel HEVC encoding. - Ziyu Wen; Bichuan Quo; Jiashuo Liu; Jisheng Li; Yao Lu 006; Jiangtao Wen (ICASSP, 2016)

A Novel Hyper-Cast Approach to Enable Cloud-Based Virtual Classroom Applications. - Xueshi Hou; Yao Lu 006; Sujit Dey (ISM, 2016)

JAVRE: A Joint Asymmetric Video Rendering and Encoding Approach to Enable Optimized Cloud Mobile 3D Virtual Immersive User Experience. - Yao Lu 006; Sujit Dey (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Modeling and Optimizing User Experience for Cloud Mobile 3D Applications. - Yao Lu 006 (2016)

Wireless VR/AR with Edge/Cloud Computing. - Xueshi Hou; Yao Lu 006; Sujit Dey (ICCCN, 2017)

PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. - Feng Chen 016; Shuang Wang 002; Xiaoqian Jiang; Sijie Ding; Yao Lu 006; Jihoon Kim 001; Süleyman Cenk Sahinalp; Chisato Shimizu; Jane C. Burns; Victoria J. Wright; Eileen Png; Martin L. Hibberd; et al. (Bioinform., 2017)

Asymmetric and selective object rendering for optimized Cloud Mobile 3D Display Gaming user experience. - Yao Lu 006; Yao Liu 008; Sujit Dey (Multim. Tools Appl., 2017)

Novel Hybrid-Cast Approach to Reduce Bandwidth and Latency for Cloud-Based Virtual Space. - Xueshi Hou; Yao Lu 006; Sujit Dey (ACM Trans. Multim. Comput. Commun. Appl., 2018)

User performance evaluation and real-time guidance in cloud-based physical therapy monitoring and guidance system. - Wenchuan Wei; Yao Lu 006; Eric Rhoden; Sujit Dey (Multim. Tools Appl., 2019)

AW-Opt: Learning Robotic Skills with Imitation andReinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRL, 2021)

Taskology: Utilizing Task Relations at Scale. - Yao Lu 006; Sören Pirk; Jan Dlabal; Anthony Brohan; Ankita Pasad; Zhao Chen; Vincent Casser; Anelia Angelova; Ariel Gordon (CVPR, 2021)

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. - Yevgen Chebotar; Karol Hausman; Yao Lu 006; Ted Xiao; Dmitry Kalashnikov; Jacob Varley; Alex Irpan; Benjamin Eysenbach; Ryan Julian; Chelsea Finn; Sergey Levine (ICML, 2021)

Visionary: Vision architecture discovery for robot learning. - Iretiayo Akinola; Anelia Angelova; Yao Lu 006; Yevgen Chebotar; Dmitry Kalashnikov; Jacob Varley; Julian Ibarz; Michael S. Ryoo (ICRA, 2021)

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. - Ligeng Zhu; Hongzhou Lin; Yao Lu 006; Yujun Lin 001; Song Han 003 (NeurIPS, 2021)

Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills. - Yevgen Chebotar; Karol Hausman; Yao Lu 006; Ted Xiao; Dmitry Kalashnikov; Jake Varley; Alex Irpan; Benjamin Eysenbach; Ryan Julian; Chelsea Finn; Sergey Levine (CoRR, 2021)

AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale. - Yao Lu 006; Karol Hausman; Yevgen Chebotar; Mengyuan Yan; Eric Jang; Alexander Herzog; Ted Xiao; Alex Irpan; Mohi Khansari; Dmitry Kalashnikov; Sergey Levine (CoRR, 2021)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Brian Ichter; Anthony Brohan; Yevgen Chebotar; Chelsea Finn; Karol Hausman; Alexander Herzog; Daniel Ho; Julian Ibarz; Alex Irpan; Eric Jang; Ryan Julian; Dmitry Kalashnikov; et al. (CoRL, 2022)

PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale. - Kuang-Huei Lee; Ted Xiao; Adrian Li; Paul Wohlhart; Ian Fischer; Yao Lu 006 (CoRL, 2022)

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning. - Dhruv Shah; Peng Xu 010; Yao Lu 006; Ted Xiao; Alexander Toshev; Sergey Levine; Brian Ichter (ICLR, 2022)

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. - Michael Ahn; Anthony Brohan; Noah Brown; Yevgen Chebotar; Omar Cortes; Byron David; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Daniel Ho; Jasmine Hsu; et al. (CoRR, 2022)

Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions. - Yevgen Chebotar; Quan Vuong; Karol Hausman; Fei Xia 002; Yao Lu 006; Alex Irpan; Aviral Kumar; Tianhe Yu; Alexander Herzog; Karl Pertsch; Keerthana Gopalakrishnan; Julian Ibarz; et al. (CoRL, 2023)

Open-World Object Manipulation using Pre-Trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Sean Kirmani; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRL, 2023)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Token Turing Machines. - Michael S. Ryoo; Keerthana Gopalakrishnan; Kumara Kahatapitiya; Ted Xiao; Kanishka Rao; Austin Stone; Yao Lu 006; Julian Ibarz; Anurag Arnab (CVPR, 2023)

Jump-Start Reinforcement Learning. - Ikechukwu Uchendu; Ted Xiao; Yao Lu 006; Banghua Zhu; Mengyuan Yan; Joséphine Simon; Matthew Bennice; Chuyuan Fu; Cong Ma 001; Jiantao Jiao; Sergey Levine; Karol Hausman (ICML, 2023)

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization. - Thomas Lew; Sumeet Singh; Mario Prats; Jeffrey Bingham; Jonathan Weisz; Benjie Holson; Xiaohan Zhang; Vikas Sindhwani; Yao Lu 006; Fei Xia 002; Peng Xu 010; Tingnan Zhang; et al. (ICRA, 2023)

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. - Cole Gulino; Justin Fu; Wenjie Luo; George Tucker; Eli Bronstein; Yiren Lu 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (NeurIPS, 2023)

RT-1: Robotics Transformer for Real-World Control at Scale. - Anthony Brohan; Noah Brown; Justice Carbajal; Yevgen Chebotar; Joseph Dabis; Chelsea Finn; Keerthana Gopalakrishnan; Karol Hausman; Alexander Herzog; Jasmine Hsu; Julian Ibarz; Brian Ichter; et al. (Robotics: Science and Systems, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (Robotics: Science and Systems, 2023)

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. - Wenlong Huang; Fei Xia 002; Dhruv Shah; Danny Driess; Andy Zeng 001; Yao Lu 006; Pete Florence; Igor Mordatch; Sergey Levine; Karol Hausman; Brian Ichter (CoRR, 2023)

Open-World Object Manipulation using Pre-trained Vision-Language Models. - Austin Stone; Ted Xiao; Yao Lu 006; Keerthana Gopalakrishnan; Kuang-Huei Lee; Quan Vuong; Paul Wohlhart; Brianna Zitkovich; Fei Xia 002; Chelsea Finn; Karol Hausman (CoRR, 2023)

Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators. - Alexander Herzog; Kanishka Rao; Karol Hausman; Yao Lu 006; Paul Wohlhart; Mengyuan Yan; Jessica Lin; Montserrat Gonzalez Arenas; Ted Xiao; Daniel Kappler; Daniel Ho; Jarek Rettinghouse; et al. (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. - Jiayuan Gu; Sean Kirmani; Paul Wohlhart; Yao Lu 006; Montserrat Gonzalez Arenas; Kanishka Rao; Wenhao Yu 003; Chuyuan Fu; Keerthana Gopalakrishnan; Zhuo Xu; Priya Sundaresan; Peng Xu 010; et al. (ICLR, 2024)

SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention. - Isabel Leal; Krzysztof Choromanski; Deepali Jain; Avinava Dubey; Jake Varley; Michael S. Ryoo; Yao Lu 006; Frederick Liu; Vikas Sindhwani; Quan Vuong; Tamás Sarlós; Ken Oslund; et al. (ICRA, 2024)

RoboVQA: Multimodal Long-Horizon Reasoning for Robotics. - Pierre Sermanet; Tianli Ding; Jeffrey Zhao; Fei Xia 002; Debidatta Dwibedi; Keerthana Gopalakrishnan; Christine Chan; Gabriel Dulac-Arnold; Sharath Maddineni; Nikhil J. Joshi; Pete Florence; Wei Han 002; et al. (ICRA, 2024)

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents. - Michael Ahn; Debidatta Dwibedi; Chelsea Finn; Montse Gonzalez Arenas; Keerthana Gopalakrishnan; Karol Hausman; Brian Ichter; Alex Irpan; Nikhil J. Joshi; Ryan Julian; Sean Kirmani; Isabel Leal; et al. (CoRR, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

VILA2: VILA Augmented VILA. - Yunhao Fang; Ligeng Zhu; Yao Lu 006; Yan Wang 051; Pavlo Molchanov 001; Jang Hyun Cho; Marco Pavone 001; Song Han 003; Hongxu Yin (CoRR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Fuzhao Xue; Yukang Chen; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Ethan He; Hongxu Yin; et al. (CoRR, 2024)

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (CoRR, 2024)

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models. - Junyu Chen 003; Han Cai; Junsong Chen; Enze Xie; Shang Yang; Haotian Tang; Muyang Li; Yao Lu 006; Song Han 003 (CoRR, 2024)

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. - Haocheng Xi; Han Cai; Ligeng Zhu; Yao Lu 006; Kurt Keutzer; Jianfei Chen; Song Han 003 (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Yunhao Fang; et al. (CoRR, 2024)

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CoRR, 2024)

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CVPR, 2025)

NVILA: Efficient Frontier Visual Language Models. - Zhijian Liu; Ligeng Zhu; Baifeng Shi; Zhuoyang Zhang; Yuming Lou; Shang Yang; Haocheng Xi; Shiyi Cao; Yuxian Gu; Dacheng Li; Xiuyu Li; Haotian Tang; et al. (CVPR, 2025)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

Scaling Vision Pre-Training to 4K Resolution. - Baifeng Shi; Boyi Li; Han Cai; Yao Lu 006; Sifei Liu; Marco Pavone 001; Jan Kautz; Song Han 003; Trevor Darrell; Pavlo Molchanov 001; Hongxu Yin (CVPR, 2025)

CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models. - Qingqing Zhao; Yao Lu 006; Moo Jin Kim; Zipeng Fu; Zhuoyang Zhang; Yecheng Wu; Zhaoshuo Li; Qianli Ma; Song Han 003; Chelsea Finn; Ankur Handa; Tsung-Yi Lin; et al. (CVPR, 2025)

LongVILA: Scaling Long-Context Visual Language Models for Long Videos. - Yukang Chen; Fuzhao Xue; Dacheng Li; Qinghao Hu 004; Ligeng Zhu; Xiuyu Li; Yunhao Fang; Haotian Tang; Shang Yang; Zhijian Liu; Yihui He; Hongxu Yin; et al. (ICLR, 2025)

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer. - Haotian Tang; Yecheng Wu; Shang Yang; Enze Xie; Junsong Chen; Junyu Chen 003; Zhuoyang Zhang; Han Cai; Yao Lu 006; Song Han 003 (ICLR, 2025)

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation. - Yecheng Wu; Zhuoyang Zhang; Junyu Chen 003; Haotian Tang; Dacheng Li; Yunhao Fang; Ligeng Zhu; Enze Xie; Hongxu Yin; Li Yi; Song Han 003; Yao Lu 006 (ICLR, 2025)

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. - Haocheng Xi; Han Cai; Ligeng Zhu; Yao Lu 006; Kurt Keutzer; Jianfei Chen; Song Han 003 (ICLR, 2025)

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers. - Enze Xie; Junsong Chen; Junyu Chen 003; Han Cai; Haotian Tang; Yujun Lin 001; Zhekai Zhang; Muyang Li; Ligeng Zhu; Yao Lu 006; Song Han 003 (ICLR, 2025)

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention. - Shang Yang; Junxian Guo; Haotian Tang; Qinghao Hu 004; Guangxuan Xiao; Jiaming Tang; Yujun Lin 001; Zhijian Liu; Yao Lu 006; Song Han 003 (CoRR, 2025)

WorldModelBench: Judging Video Generation Models As World Models. - Dacheng Li; Yunhao Fang; Yukang Chen; Shuo Yang; Shiyi Cao; Justin Wong; Michael Luo; Xiaolong Wang 004; Hongxu Yin; Joseph E. Gonzalez; Ion Stoica; Song Han 003; et al. (CoRR, 2025)

Token-Efficient Long Video Understanding for Multimodal LLMs. - Jindong Jiang; Xiuyu Li; Zhijian Liu; Muyang Li; Guo Chen 006; Zhiqi Li; De-An Huang; Guilin Liu; Zhiding Yu; Kurt Keutzer; Sungjin Ahn; Jan Kautz; et al. (CoRR, 2025)

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation. - Zhuoyang Zhang; Luke J. Huang; Chengyue Wu; Shang Yang; Kelly Peng; Yao Lu 006; Song Han 003 (CoRR, 2025)

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer. - Yecheng Wu; Junyu Chen 003; Zhuoyang Zhang; Enze Xie; Jincheng Yu; Junsong Chen; Jinyi Hu; Yao Lu 006; Song Han 003; Han Cai (CoRR, 2025)

Scaling RL to Long Videos. - Yukang Chen; Wei Huang; Baifeng Shi; Qinghao Hu 004; Hanrong Ye; Ligeng Zhu; Zhijian Liu; Pavlo Molchanov 001; Jan Kautz; Xiaojuan Qi; Sifei Liu; Hongxu Yin; et al. (CoRR, 2025)

EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos. - Ruihan Yang; Qinxi Yu; Yecheng Wu; Rui Yan; Borui Li; An-Chieh Cheng; Xueyan Zou; Yunhao Fang; Xuxin Cheng; Ri-Zhao Qiu; Hongxu Yin; Sifei Liu; et al. (CoRR, 2025)