Liang Luo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
22
Active years
2004–2026
Best venue rank
A*
Where they publish
- CQRS8 papers
- A*ACL3 papers
- A*CHI2 papers
- A*ISCA2 papers
- NationalNSDI2 papers
- CIGARSS2 papers
- A*AAAI1 paper
- A*KDD1 paper
- A*SIGIR1 paper
- A*ICML1 paper
- BIJCNN1 paper
- ACIKM1 paper
- BWCNC1 paper
- BCLOUD1 paper
- NationalICMLC1 paper
- BPAKDD1 paper
- AUSENIX1 paper
- A*ASPLOS1 paper
- A*HPCA1 paper
- NationalFlAIRS1 paper
- ANAACL1 paper
- NationalWSCG1 paper
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning. | Yuming Qiao, Liang Luo, Dan Meng, Yifan Yang, Qingyuan Wang, Juntuo Wang, Yuwei Zhang, Ru Zhen, Yanhao Zhang, Haonan Lu, Xudong Zhang |
| 2026 | ACL | From Mimesis to Metamorphosis: Evolving VLM Judges via In-Context Comparing and Knowledge Internalization. | Juntuo Wang, Yuming Qiao, Yifan Yang, Lunxi Yuan, Liang Luo, Dan Meng |
| 2026 | ACL | ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation. | Yihua Zhang, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Huayu Li, Buyun Zhang, Liang Luo, Luke Simon, Sijia Liu, Tianlong Chen, Xi Liu |
| 2026 | CHI | Unveiling Road Rage Dynamics: Recreating and Modeling Road Rage in Audiovisual and Simulating Environments Based on Real-World Footage. | Yu Gu, Chenhao Gao, Yibing Weng, Chengzhi Wang, Liang Luo, Fuji Ren |
| 2026 | CHI | Bloom & Breathe: Exploring Multimodal Olfactory Interventions for In-Car Road Rage Regulation. | Sicheng Xiao, Yu Gu, Liang Luo, Fuji Ren |
| 2026 | ISCA | LoKA: Low-Precision Kernel Applications for Recommendation Models at Scale. | Liang Luo, Yinbin Ma, Quanyu Zhu, Vasiliy Kuznetsov, Yuxin Chen, Jian Jiao, Jiecao Yu, Buyun Zhang, Tongyi Tang, Xiaohan Wei, Yanli Zhao, Zeliang Chen, Yuchen Hao, Venkatesh Ranganathan, Sandeep Parab, Yantao Yao, Maxim Naumov, Chunzhi Yang, Shen Li, Ellie Wen, Wenlin Chen, Chunqiang Tang |
| 2026 | KDD | Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations. | Liang Luo, Yuxin Chen, Zhengyu Zhang, Mengyue Hang, Andrew Gu, Buyun Zhang, Boyang Liu, Chen Chen, Fan Yang, Feifan Gu, Huayu Li, Jade Nie, Jiayi Xu, Jiyan Yang, Jongsoo Park, Laming Chen, Longhao Jin, Qin Huang, Shali Jiang, Shiwen Shen, Shuaiwen Wang, Siyang Yuan, Tongyi Tang, Weilin Zhang, Xi Liu, Xiaohan Wei, Yuchen Hao, Xiaozhen Xia, Yasmine Badr, Zeliang Chen, Chengze Fan, Dong Liang, Qianru Li, Sihan Zeng, Wenjun Wang, Yunlong He, Yinbin Ma, Maxim Naumov, Yantao Yao, Wenlin Chen, Ellie Dingqiao Wen |
| 2026 | NSDI | Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation. | Jianxing Qin, Jingrong Chen, Xinhao Kong, Yongji Wu, Tianjun Yuan, Liang Luo, Zhaodong Wang, Ying Zhang, Tingjun Chen, Alvin R. Lebeck, Danyang Zhuo |
| 2026 | SIGIR | SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling. | Zikun Liu, Liang Luo, Qianru Li, Zhengyu Zhang, Wei Ling, Jingyi Shen, Zeliang Chen, Yaning Huang, Jingxian Huang, Abdallah Aboelela, Chonglin Sun, Feifan Gu, Fenggang Wu, Hang Qu, Huayu Li, Jill Pan, Kaidi Pei, Laming Chen, Longhao Jin, Qin Huang, Tongyi Tang, Varna Puvvada, Wenlin Chen, Xiaohan Wei, Xu Cao, Yantao Yao, Yuan Jin, Yunchen Pu, Yuxin Chen, Zijian Shen, Zhengkai Zhang, Dong Liang, Ellie Wen |
| 2025 | ACL | The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit. | Huixue Zhou, Hengrui Gu, Zaifu Zhan, Xi Liu, Kaixiong Zhou, Yongkang Xiao, Mingfu Liang, Srinivas Prasad Govindan, Piyush Chawla, Jiyan Yang, Xiangfei Meng, Huayu Li, Buyun Zhang, Liang Luo, Wen-Yen Chen, Yiping Han, Bo Long, Rui Zhang, Tianlong Chen |
| 2024 | ICML | Wukong: Towards a Scaling Law for Large-Scale Recommendation. | Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen |
| 2024 | IJCNN | Occlusion-Aware Visual-Language Model for Occluded Facial Expression Recognition. | Ding Wang, Yu Gu, Liang Luo, Fuji Ren |
| 2023 | CIKM | Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation. | Zheng Hu, Satoshi Nakagawa, Liang Luo, Yu Gu, Fuji Ren |
| 2023 | QRS | Optimizing Media Streaming in Edge-Cloud Systems: Leveraging Geography and User Behavior. | Quankun Luo, Jiawen Deng, Liang Luo |
| 2022 | ISCA | Software-hardware co-design for fast and scalable training of deep learning recommendation models. | Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen, Hong Li, Lin Yang, Chonglin Sun, Whitney Zhao, Dimitry Melts, Krishna Dhulipala, K. R. Kishore, Tyler Graf, Assaf Eisenman, Kiran Kumar Matam, Adi Gangidi, Guoqiang Jerry Chen, Manoj Krishnan, Avinash Nayak, Krishnakumar Nair, Bharath Muthiah, Mahmoud khorashadi, Pallab Bhattacharya, Petr Lapukhov, Maxim Naumov, Ajit Mathews, Lin Qiao, Mikhail Smelyanskiy, Bill Jia, Vijay Rao |
| 2022 | NSDI | NetHint: White-Box Networking for Multi-Tenant Data Centers. | Jingrong Chen, Hong Zhang, Wei Zhang, Liang Luo, Jeffrey S. Chase, Ion Stoica, Danyang Zhuo |
| 2020 | QRS | Reliability Service Assurance in Public Clouds based on Blockchain. | Sa Meng, Liang Luo, Peng Sun, Yuan Gao |
| 2020 | QRS | Adaptive Rule Engine for Anomaly Detection in 5G Mobile Edge Computing. | Peng Sun, Liang Luo, Shangxin Liu, Weifeng Wu |
| 2019 | QRS | Reliability Modeling and Optimization for Large-Scale Network Systems. | Sa Meng, Yuanshun Dai, Liang Luo, Chang Liu |
| 2019 | WCNC | A Performance Modeling Approach for Mobile Cloud System. | Han Xu, Liang Luo, Xiwei Qiu, Yanping Xiang |
| 2018 | CLOUD | Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training. | Liang Luo, Jacob Nelson, Luis Ceze, Amar Phanishayee, Arvind Krishnamurthy |
| 2018 | ICMLC | A Novel Surveillance Video Processing Using Stochastic Low-Rank And Generalized Low-Rank Approximation Techniques. | Liang Luo, Zhi-Qin Zhao, Xiao-Pin Li |
| 2018 | PAKDD | An Interaction-Enhanced Feature Selection Algorithm. | Xiaochuan Tang, Yuanshun Dai, Yanping Xiang, Liang Luo |
| 2018 | QRS | An Unsupervised Parameter Grouping Algorithm for Combinatorial Testing. | Peng Sun, Xiaochuang Tang, Liang Luo |
| 2018 | USENIX | Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging. | Liang Luo, Suman Nath, Lenin Ravindranath Sivalingam, Madan Musuvathi, Luis Ceze |
| 2017 | ASPLOS | IncBricks: Toward In-Network Computation with an In-Network Cache. | Ming Liu, Liang Luo, Jacob Nelson, Luis Ceze, Arvind Krishnamurthy, Kishore Atreya |
| 2016 | HPCA | LASER: Light, Accurate Sharing dEtection and Repair. | Liang Luo, Akshitha Sriraman, Brooke Fugate, Shiliang Hu, Gilles Pokam, Chris J. Newburn, Joseph Devietti |
| 2016 | QRS | A Resource Optimization Algorithm of Cloud Data Center Based on Correlated Model of Reliability, Performance and Energy. | Liang Luo, Hongwei Li, Xiwei Qiu, Yangyang Tang |
| 2016 | QRS | Reliability-Performance-Energy Joint Modeling and Optimization for a Big Data Task. | Xiwei Qiu, Liang Luo, Yuan-Shun Dai |
| 2016 | QRS | Performance Analysis of Cloud Service Considering Reliability. | Peng Sun, Demiao Wu, Xiwei Qiu, Liang Luo, Hongwei Li |
| 2015 | FlAIRS | Unsupervised Sumerian Personal Name Recognition. | Liang Luo, Yudong Liu, James Hearne, Clinton Burkhart |
| 2015 | NAACL | Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition. | Yudong Liu, Clinton Burkhart, James Hearne, Liang Luo |
| 2006 | IGARSS | Remote Sensing Image Based Study on the Spatial Evolvement and Mechanism of Urban Residential District in China Since 1949: A Case Study of the Valley-basin City, Lanzhou. | Caihong Meng, Yongchun Yang, Liang Luo, Ping Yang, Guozhu Li |
| 2006 | IGARSS | Study on Population Distribution Characteristics and Pattern Based on RS and GIS in Mountainous Region: A Case Study of Tianshui District, China. | Shuwen Niu, Guozhu Li, Zhengguang Liu, Liang Luo, Caihong Meng |
| 2004 | WSCG | View Dependent Stochastic Sampling for Efficient Rendering of Point Sampled Surfaces. | Sushil Bhakar, Liang Luo, Sudhir P. Mudur |