| 2026 | AAAI | Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract). | Le Xu, Jiayu Chen |
| 2025 | ACL | StitchLLM: Serving LLMs, One Block at a Time. | Bodun Hu, Shuozhe Li, Saurabh Agarwal, Myungjin Lee, Akshay Jajoo, Jiamin Li, Le Xu, Geon-Woo Kim, Donghyun Kim, Hong Xu, Amy Zhang, Aditya Akella |
| 2025 | ICASSP | Radio Map Estimation via Latent-Domain Plug-and-Play Denoisers. | Le Xu, Lei Cheng, Junting Chen, Wenqiang Pu, Xiao Fu |
| 2025 | Interspeech | Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model. | Yong Ren, Chenxing Li, Le Xu, Hao Gu, Duzhen Zhang, Yujie Chen, Manjie Xu, Ruibo Fu, Shan Yang, Dong Yu |
| 2025 | Interspeech | Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning. | Le Xu, Chenxing Li, Yong Ren, Yujie Chen, Yu Gu, Ruibo Fu, Shan Yang, Dong Yu |
| 2025 | IROS | Design and Development of a Deformable Spherical Robot for Amphibious Applications | Le Xu, Ruoyu Ren, Xiaojie Wei, Hao Lee, Hank Zhang, Kaicheng Yu, Ye Li, Chenyu Liu, Siyu Gao, Lihua Lu |
| 2024 | EMNLP | MOSEL: Inference Serving Using Dynamic Modality Selection. | Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella |
| 2024 | ICASSP | Fewer-Token Neural Speech Codec with Time-Invariant Codes. | Yong Ren, Tao Wang, Jiangyan Yi, Le Xu, Jianhua Tao, Chu Yuan Zhang, Junzuo Zhou |
| 2024 | ICLR | ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference. | Jason Chun Lok Li, Steven Tin Sui Luo, Le Xu, Ngai Wong |
| 2024 | Interspeech | Residual Speaker Representation for One-Shot Voice Conversion. | Le Xu, Jiangyan Yi, Tao Wang, Yong Ren, Rongxiu Zhong, Zhengqi Wen, Jianhua Tao |
| 2023 | Interspeech | Flow-VAE VC: End-to-End Flow Framework with Contrastive Loss for Zero-shot Voice Conversion. | Le Xu, Rongxiu Zhong, Ying Liu, Huibao Yang, Shilei Zhang |
| 2023 | IROS | Leveraging Cloud Computing to Make Autonomous Vehicles Safer. | Peter Schafhalter, Sukrit Kalra, Le Xu, Joseph E. Gonzalez, Ion Stoica |
| 2023 | MICCAI | CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized Predictions. | Jiangcong Liu, Le Xu, Yun Guan, Hao Ma, Lixia Tian |
| 2022 | HPCC | High-Performance Matrix Multiplication on the New Generation Shenwei Processor. | Le Xu, Hong An, Junshi Chen, Pengfei Zhang |
| 2022 | ICANN | Semantic Diversity Image Translation Based on Deep Feature Difference and Attention Mechanism. | Le Xu, Weiling Cai, Zhiwei Li, Cairun Wang |
| 2022 | ICASSP | ADD 2022: the first Audio Deep Synthesis Detection Challenge. | Jiangyan Yi, Ruibo Fu, Jianhua Tao, Shuai Nie, Haoxin Ma, Chenglong Wang, Tao Wang, Zhengkun Tian, Ye Bai, Cunhang Fan, Shan Liang, Shiming Wang, Shuai Zhang, Xinrui Yan, Le Xu, Zhengqi Wen, Haizhou Li |
| 2021 | ACML | Multi-view Latent Subspace Clustering based on both Global and Local Structure. | Honghan Zhou, Weiling Cai, Le Xu, Yang Ming |
| 2021 | ICDM | Overfitting Avoidance in Tensor Train Factorization and Completion: Prior Analysis and Inference. | Le Xu, Lei Cheng, Ngai Wong, Yik-Chung Wu |
| 2021 | IJCNN | Semi-paired Image-to-Image Translation using Neighbor-based Generative Adversarial Networks. | Le Xu, Weiling Cai, Honghan Zhou |
| 2021 | NSDI | Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo. | Le Xu, Shivaram Venkataraman, Indranil Gupta, Luo Mai, Rahul Potharaju |
| 2018 | CLOUD | Henge: Intent-driven Multi-Tenant Stream Processing. | Faria Kalim, Le Xu, Sharanya Bathey, Richa Meherwal, Indranil Gupta |
| 2018 | VTC | Cooperative Downloading in Vehicular Networks: A Graph-Based Approach. | Yanglong Sun, Le Xu, Yuliang Tang |
| 2017 | CLOUD | Sparkle: optimizing spark for large memory machines and analytics. | Mijung Kim, Jun Li, Haris Volos, Manish Marwah, Alexander Ulanov, Kimberly Keeton, Joseph A. Tucek, Lucy Cherkasova, Le Xu, Pradeep Fernando |
| 2016 | IC2E | Stela: Enabling Stream Processing Systems to Scale-in and Scale-out On-demand. | Le Xu, Boyang Peng, Indranil Gupta |
| 2015 | IC2E | Scale Up vs. Scale Out in Cloud Storage and Graph Processing Systems. | Wenting Wang, Le Xu, Indranil Gupta |
| 2012 | ITiCSE | V-lab: a cloud-based virtual laboratory platform for hands-on networking courses. | Le Xu, Dijiang Huang, Wei-Tek Tsai |
| 2006 | CEC | On the Investigation of Artificial Immune Systems on Imbalanced Data Classification for Power Distribution System Fault Cause Identification. | Le Xu, Mo-Yuen Chow, Jon Timmis, Leroy S. Taylor, Andrew B. Watkins |