具身智能 / VLA
2025 – 2026 · Midea Group
WorldEval: World Model as Real-World Robot Policies Evaluator引用 40
Y Li, Y Zhu, J Wen, C Shen, Y Xu
arXiv:2505.19017 · 2025
dVLA: Diffusion Vision-Language-Action Model with Multimodal Chain-of-Thought引用 25
J Wen, M Zhu, J Liu, Z Liu, Y Yang, L Zhang, S Zhang, Y Zhu, Y Xu
arXiv:2509.25681 · 2025
ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations引用 21
Q Zeng, C Li, JS John, Z Zhou, J Wen, G Feng, Y Zhu, Y Xu
arXiv:2510.01607 · 2025
ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge引用 15
Z Zhou, Y Zhu, J Wen, C Shen, Y Xu
arXiv:2505.21906 · 2025
HumanoidExo: Scalable Whole-Body Humanoid Manipulation via Wearable Exoskeleton引用 6
R Zhong, Y Sun, J Wen, J Li, C Cheng, W Dai, Z Zeng, H Lu, Y Zhu, Y Xu
arXiv:2510.03022 · 2025
ChatVLA-2: Vision-Language-Action Model with Open-World Reasoning引用 4
Z Zhou, Y Zhu, X Liu, Z Tang, J Wen, Y Peng, C Shen, Y Xu
NeurIPS 38 · 2026（发表版）
DeMaVLA: A Vision-Language-Action Foundation Model for Generalizable Deformable Manipulation引用 3
T Su, J Zhu, T Wang, Y He, Z Huang, J Zhang, C Ma, H Wang, T Zhang, et al.
arXiv:2605.31286 · 2026
智能体、智能家居与语音
2020 · Amazon / 2025 – 2026 · Midea Group
SemaClaw: A Step Towards General-Purpose Personal AI Agents through Harness Engineering引用 5
N Zhu, H Wang, J Zhou, F Chen, S Zhang, G Chen, C Liu, J Wu, W Chen, et al.
arXiv:2604.11548 · 2026
Efficient Evaluation of Task Oriented Dialogue Systems引用 3
W Lu, Y Xu, EL Li
NeurIPS Human in the Loop Dialogue Systems Workshop · 2020
Sema Code: Decoupling AI Coding Agents into Programmable, Embeddable Infrastructure引用 1
H Wang, J Zhou, N Zhu, S Zhang, F Chen, J Wu, G Chen, C Liu, W Chen, et al.
arXiv:2604.11045 · 2026
Reject or Not?: A Benchmark for Voice Assistant Query Rejection in Smart Home Scenario and an Improved Method Based on LLMs引用 1
H Men, Y Hu, Y He, Y Gao, X Mou, Y Xu
arXiv:2512.10257 · 2025
HomeFlow: A Data Flywheel for Smart Home Agent Training with Verifiable Simulation引用 0
Y Gu, H Wang, S Zhang, Y Hou, L Xue, W Ming, C Liu, F Yu, K Li, R Chen, et al.
arXiv:2606.01230 · 2026
Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards引用 0
KY Guo, J Wang, R Zhao, T Wang, W Mao, Y Gao, MX Feng, Y Xu
arXiv:2604.10110 · 2026
End-to-End Direction-Aware Keyword Spotting with Spatial Priors in Noisy Environments引用 0
R Wang, Z Zhang, Y Gao, X Mou, Y Xu
arXiv:2603.09505 · 2026
An Autonomous Agent Framework for Feature-Label Extraction from Device Dialogues and Automatic Multi-Dimensional Device Hosting Planning Based on Large Language Models引用 0
H Men, Y Hu, Y Gao, X Mou, Y Xu, X Xiao
arXiv:2601.20194 · 2026
Adaptive Speaker Embedding Self-Augmentation for Personal Voice Activity Detection with Short Enrollment Speech引用 0
F Feng, W Zhang, Y Gao, L Xu, X Mou, Y Xu
arXiv:2601.12769 · 2026
CAM: Uninteresting Speech Detector引用 0
W Lu, Y Xu, P Yang, B Zeng
Interspeech · 2020
多模态与大语言模型
2020 – 2025 · Amazon
Vision-Language Pre-training with Triple Contrastive Learning引用 500
J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, et al.
CVPR · 2022
Scholar 另有 2 条重复收录（7 / 4 引用）
Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning引用 113
Q Jiang, C Chen, H Zhao, L Chen, Q Ping, SD Tran, Y Xu, B Zeng, et al.
CVPR · 2023
Multi-Modal Alignment Using Representation Codebook引用 113
J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, T Chilimbi
CVPR · 2022
Why Do We Need Large Batch Sizes in Contrastive Learning? A Gradient-Bias Perspective引用 75
C Chen, J Zhang, Y Xu, L Chen, J Duan, Y Chen, S Tran, B Zeng, et al.
NeurIPS 35 · 2022
CTR-BERT: Cost-Effective Knowledge Distillation for Billion-Parameter Teacher Models引用 69
A Muhamed, I Keivanloo, S Perera, J Mracek, Y Xu, Q Cui, S Rajagopalan, et al.
NeurIPS ENLSP Workshop · 2021
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models引用 66
Y Jin, Z Li, C Zhang, T Cao, Y Gao, P Jayarao, M Li, X Liu, R Sarkhel, et al.
NeurIPS 37 · 2024
Scholar 另有 1 条重复收录
Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications引用 63
H Xie, D Zheng, J Ma, H Zhang, VN Ioannidis, X Song, Q Ping, S Wang, et al.
KDD · 2023
ReAugKD: Retrieval-Augmented Knowledge Distillation for Pre-trained Language Models引用 38
J Zhang, A Muhamed, A Anantharaman, G Wang, C Chen, K Zhong, et al.
ACL · 2023
Robust Multi-Task Learning with Excess Risks引用 35
Y He, S Zhou, G Zhang, H Yun, Y Xu, B Zeng, T Chilimbi, H Zhao
arXiv:2402.02009 · 2024
Diffusion Models for Multi-Modal Generative Modeling引用 34
C Chen, H Ding, B Sisman, Y Xu, O Xie, BZ Yao, SD Tran, B Zeng
arXiv:2407.17571 · 2024
Simpler, Faster, Stronger: Breaking the log-K Curse on Contrastive Learners with FlatNCE引用 30
J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, et al.
arXiv:2107.01152 · 2021
Efficient and Effective Training of Language and Graph Neural Network Models引用 26
VN Ioannidis, X Song, D Zheng, H Zhang, J Ma, Y Xu, B Zeng, T Chilimbi, et al.
arXiv:2206.10781 · 2022
Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning引用 22
X He, I Keivanloo, Y Xu, X He, B Zeng, S Rajagopalan, T Chilimbi
arXiv:2111.00230 · 2021
Unsupervised Multi-Modal Representation Learning for High Quality Retrieval of Similar Products at E-commerce Scale引用 10
K Kumar, T Arici, T Neiman, J Yang, S Sam, Y Xu, H Ferhatosmanoglu, et al.
CIKM · 2023
MLIM: Vision-and-Language Model Pre-training with Masked Language and Image Modeling引用 9
T Arici, MS Seyfioglu, T Neiman, Y Xu, S Tran, T Chilimbi, B Zeng, I Tutar
arXiv:2109.12178 · 2021
Scholar 另有 1 条重复收录（7 引用）
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs引用 4
NE Corrado, J Katz-Samuels, AM Devraj, H Yun, C Zhang, Y Xu, Y Pan, et al.
ACL · 2025
Evolutionary Contrastive Distillation for Language Model Alignment引用 4
J Katz-Samuels, Z Li, H Yun, P Nigam, Y Xu, V Petricek, B Yin, T Chilimbi
Findings of EMNLP · 2024
Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks引用 4
W Liu, S Rajagopalan, P Nigam, J Singh, X Sun, Y Xu, B Zeng, T Chilimbi
NAACL · 2022
DCAF-BERT: A Distilled Cachable Adaptable Factorized Model for Improved Ads CTR Prediction引用 3
A Muhamed, J Singh, S Zheng, I Keivanloo, S Perera, J Mracek, Y Xu, et al.
WWW Companion · 2022
Semantic Aligned Multi-Modal Transformer for Vision-Language Understanding: A Preliminary Study on Visual QA引用 3
H Ding, LE Li, Z Hu, Y Xu, D Hakkani-Tur, Z Du, B Zeng
Third Workshop on Multimodal AI · 2021
ForeSeer: Product Aspect Forecasting Using Temporal Graph Embedding引用 2
Z Liu, G Hiranandani, K Qian, EW Huang, Y Xu, B Zeng, K Subbian, et al.
CIKM · 2023
DynaMaR: Dynamic Prompt with Mask Token Representation引用 2
X Sun, S Rajagopalan, P Nigam, W Liu, Y Xu, I Keivanloo, B Zeng, et al.
EMNLP · 2022
SST: Semantic and Structural Transformers for Hierarchy-Aware Language Models in E-commerce引用 2
S Campese, I Lauriola, A Moschitti
Sort 4, 367 · 2016（Scholar 收录信息疑似有误）
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective引用 1
Y Xing, X Lin, Q Song, Y Xu, B Zeng, G Cheng
AISTATS · 2024
无线通信
2009 – 2016 · 清华大学 / Auburn University / NEC Labs
User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis引用 220
Y Xu, G Yue, S Mao
IEEE Access 2, 947–959 · 2014
A Survey of Mobile Cloud Computing for Rich Media Applications引用 149
Y Xu, S Mao
IEEE Wireless Communications 20(3) · 2013
User Association in Massive MIMO HetNets引用 110
Y Xu, S Mao
IEEE Systems Journal · 2015
User Grouping and Scheduling for Large Scale MIMO Systems with Two-Stage Precoding引用 70
Y Xu, G Yue, N Prasad, S Rangarajan, S Mao
IEEE ICC · 2014
Stackelberg Game for Cognitive Radio Networks with MIMO and Distributed Interference Alignment引用 40
Y Xu, S Mao
IEEE Transactions on Vehicular Technology 63(2) · 2013
Cooperative Spectrum Sensing in Cognitive Radio under Noise Uncertainty引用 36
H Wang, Y Xu, X Su, J Wang
IEEE VTC · 2010
Relay-Assisted Multiuser Video Streaming in Cognitive Radio Networks引用 26
Y Xu, D Hu, S Mao
IEEE TCSVT 24(10) · 2014
Cooperative Spectrum Sensing with Wavelet Denoising in Cognitive Radio引用 26
H Wang, Y Xu, X Su, J Wang
IEEE VTC · 2010
Interference Alignment Improves the Capacity of OFDM Systems引用 12
Y Xu, S Mao, X Su
arXiv:1412.2179 · 2014
On Interference Alignment in Multi-User OFDM Systems引用 10
Y Xu, S Mao
IEEE GLOBECOM · 2012
Distributed Interference Alignment in Cognitive Radio Networks引用 9
Y Xu, S Mao
ICCCN · 2013
SNR Wall and Cooperative Spectrum Sensing in Cognitive Radio under Noise Uncertainty引用 8
H Wang, X Su, Y Xu, X Chen, J Wang
Journal of Electronics (China) 27(5) · 2010
On Adopting Interleave Division Multiple Access in Two-Tier Femtocell Networks: The Uplink Case引用 5
Y Xu, S Mao, X Su
IEEE ICC · 2012
Mobile Cloud Media: State of the Art and Outlook引用 5
Y Xu, S Mao
Mobile Computing over Cloud（书章节）
Optimal Cooperative Energy Spectrum Sensing in Cognitive Radio Network引用 3
H Wang, X Su, Y Xu, S Zhou, J Wang
Frontiers of Electrical and Electronic Engineering in China 5(4) · 2010
Two-Stage Precoding and User Grouping for Large Scale MIMO Systems引用 2
N Prasad, S Rangarajan, G Yue, Y Xu
US Patent 9,450,655 · 2016
A Novel Modulation Scheme Combining the Advantages of CP-OFDM and TDS-OFDM引用 2
Y Xu, X Su, Y Xiao
WCSP · 2009
User Grouping and Load Balancing for FDD Massive MIMO Systems引用 1
Y Xu, G Yue, S Mao
IEEE COMSOC MMTC E-Letter 9(6) · 2014
Interference Management and Exploitation in Emerging Wireless Networks引用 0
Y Xu
博士论文 · Auburn University · 2015
New Half-Voting Cooperative Sensing Algorithms in Cognitive Radio引用 0
H Wang, Y Xu, X Su, J Zeng, J Wang
Wireless Internet 98 · 2012
Signal Transmission Method for Wideband Wireless Mobile Communication System引用 0
J Wang, X Su, Y Xu, X Xu, M Zhao, S Zhou, Y Zhao
CN Patent CN101,409,699 B · 2011
Multi-Base Station Cooperation Linear Precoding Method Based on Minimum Total Bit Error Rate引用 0
X Su, Z Zhang, J Wu, H Gao, Y Xu, J Zeng
CN Patent App. CN101,867,462 A · 2010