Shuo Yang

According to our database, Shuo Yang authored at least 78 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation.

Jinze Li, Xiaoyan Yang, Shuo Yang, Jinfeng Xu, Yue Shen, Jian Wang, Jinjie Gu, Edith Cheuk-Han Ngai

CoRR, May, 2026

Beyond the Target: From Imitation to Collaboration in Speculative Decoding.

Jinze Li, Yixing Xu, Guanchen Li, Jinfeng Xu, Shuo Yang, Yang Zhang, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, May, 2026

Belief-Guided Inference Control for Large Language Model Services via Verifiable Observations.

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Shuo Yang, Edith Cheuk-Han Ngai

CoRR, April, 2026

OCR-Memory: Optical Context Retrieval for Long-Horizon Agent Memory.

Jinze Li, Yang Zhang, Xin Yang, Jiayi Qu, Jinfeng Xu, Shuo Yang, Junhua Ding, Edith Cheuk-Han Ngai

CoRR, April, 2026

Pythia: Toward Predictability-Driven Agent-Native LLM Serving.

Shan Yu, Junyi Shu, Yuanjiang Ni, Kun Qian, Xue Li, Yang Wang, Jinyuan Zhang, Ziyi Xu, Shuo Yang, Lingjun Zhu, Ennan Zhai, Qingda Lu, Jiarong Xing, Youyou Lu, Xin Jin, Xuanzhe Liu, Harry Xu

CoRR, April, 2026

DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data.

Venus Team, Sunhao Dai, Yong Deng, Jinzhen Lin, Yusheng Song, Guoqing Wang, Xiaofeng Wu, Yuqi Zhou, Shuo Yang, Zhenzhe Ying, Zhanwei Zhang, Changhua Meng, Weiqiang Wang

CoRR, April, 2026

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Jianheng Tang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, April, 2026

Flash-KMeans: Fast and Memory-Efficient Exact K-Means.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Xiaoze Fan, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Kurt Keutzer, Song Han, Chenfeng Xu, Ion Stoica

CoRR, March, 2026

SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing.

Xuanyi Zhou, Qiuyang Mang, Shuo Yang, Haocheng Xi, Jintao Zhang, Huanzhi Mao, Joseph E. Gonzalez, Kurt Keutzer, Ion Stoica, Alvin Cheung

CoRR, March, 2026

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Jianheng Tang, Yunhuai Liu, Edith C. H. Ngai

CoRR, March, 2026

DGGVAE: Dual-Granularity Graph Variational Auto-Encoder for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Hewei Wang, Yijie Li, Xiping Hu, Edith C. H. Ngai

ACM Trans. Inf. Syst., February, 2026

Reinforced Curriculum Pre-Alignment for Domain-Adaptive VLMs.

Yuming Yan, Shuo Yang, Kai Tang, Sihong Chen, Yang Zhang, Ke Xu, Dan Hu, Qun Yu, Pengfei Hu, Edith C. H. Ngai

CoRR, February, 2026

Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization.

Haocheng Xi, Shuo Yang, Yilong Zhao, Muyang Li, Han Cai, Xingyang Li, Yujun Lin, Zhuoyang Zhang, Jintao Zhang, Xiuyu Li, Zhiying Xu, Jun Wu, Chenfeng Xu, Ion Stoica, Song Han, Kurt Keutzer

CoRR, February, 2026

Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow.

Haocheng Xi, Charlie Ruan, Peiyuan Liao, Yujun Lin, Han Cai, Yilong Zhao, Shuo Yang, Kurt Keutzer, Song Han, Ligeng Zhu

CoRR, January, 2026

Blind Radio Map Construction via Topology-Guided Manifold Learning.

Zheng Xing, Zewei Liu, Jinfeng Xu, Shuo Yang, Ruikang Zhong, Yipeng Du, Jun Gao, Weibing Zhao, Edith C. H. Ngai

IEEE Internet Things J., 2026

RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking.

Shuo Yang, Zijian Yu, Zhenzhe Ying, Yuqin Dai, Guoqing Wang, Jun Lan, Jinfeng Xu, Jinze Li, Edith C. H. Ngai

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

CoLD: Collaborative Label Denoising Framework for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai

Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Zitong Wan, Hewei Wang, Weijie Liu, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Yijie Li, Edith C. H. Ngai

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

BlendServe: Optimizing Offline Inference with Resource-Aware Batching.

Yilong Zhao, Shuo Yang, Kan Zhu, Lianmin Zheng, Baris Kasikci, Yifan Qiao, Yang Zhou, Jiarong Xing, Ion Stoica

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning.

Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Let the Barbarians In: How AI Can Accelerate Systems Performance Research.

Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Shubham Agarwal, Mert Cemri, Bowen Wang, Alexander Krentsel, Tian Xia, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Ashwin Naren, Shulu Li, Ruiying Ma, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica

CoRR, December, 2025

Enhancing Robustness and Generalization Capability for Multimodal Recommender Systems via Sharpness-Aware Minimization.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Raymond Chi-Wing Wong, Edith C. H. Ngai

IEEE Trans. Knowl. Data Eng., November, 2025

Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match.

Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum

CoRR, November, 2025

StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation.

Tianrui Feng, Zhi Li, Shuo Yang, Haocheng Xi, Muyang Li, Xiuyu Li, Lvmin Zhang, Keting Yang, Kelly Peng, Song Han, Maneesh Agrawala, Kurt Keutzer, Akio Kodaira, Chenfeng Xu

CoRR, November, 2025

Barbarians at the Gate: How AI is Upending Systems Research.

Audrey Cheng, Shu Liu, Melissa Z. Pan, Zhifei Li, Bowen Wang, Alex Krentsel, Tian Xia, Mert Cemri, Jongseok Park, Shuo Yang, Jeff Chen, Lakshya A. Agrawal, Aditya Desai, Jiarong Xing, Koushik Sen, Matei Zaharia, Ion Stoica

CoRR, October, 2025

vAttention: Verified Sparse Attention.

Aditya Desai, Kumar Krishna Agrawal, Shuo Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

CoRR, October, 2025

Toward Edge General Intelligence via Large Language Models: Opportunities and Challenges.

Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

IEEE Netw., September, 2025

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention.

Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen

CoRR, September, 2025

Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing.

Xinran Zheng, Xingzhi Qian, Yiling He, Shuo Yang, Lorenzo Cavallaro

CoRR, September, 2025

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward.

Yong Deng, Guoqing Wang, Zhenzhe Ying, Xiaofeng Wu, Jinzhen Lin, Wenwen Xiong, Yuqin Dai, Shuo Yang, Zhanwei Zhang, Qiwen Wang, Yang Qin, Yuan Wang, Quanxing Zha, Sunhao Dai, Changhua Meng

CoRR, August, 2025

Large Language Models for Network Intrusion Detection Systems: Foundations, Implementations, and Future Directions.

Shuo Yang, Xinran Zheng, Xinchen Zhang, Jinfeng Xu, Jinze Li, Donglin Xie, Weicai Long, Edith C. H. Ngai

CoRR, July, 2025

Generative AI for Vulnerability Detection in 6G Wireless Networks: Advances, Case Study, and Future Directions.

Shuo Yang, Xinran Zheng, Jinfeng Xu, Jinze Li, Danyang Song, Zheyu Chen, Edith C. H. Ngai

CoRR, June, 2025

Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation.

Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han

CoRR, June, 2025

Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving.

Shan Yu, Jiarong Xing, Yifan Qiao, Mingyuan Ma, Yangmin Li, Yang Wang, Shuo Yang, Zhiqiang Xie, Shiyi Cao, Ke Bao, Ion Stoica, Harry Xu, Ying Sheng

CoRR, May, 2025

An Extensible Software Transport Layer for GPU Networking.

Yang Zhou, Zhongjie Chen, Ziming Mao, ChonLam Lao, Shuo Yang, Pravein Govindan Kannan, Jiaqi Gao, Yilong Zhao, Yongji Wu, Kaichao You, Fengyuan Ren, Zhiying Xu, Costin Raiciu, Ion Stoica

CoRR, April, 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, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

CoRR, February, 2025

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Wei Wang, Xiping Hu, Steven Hoi, Edith C. H. Ngai

CoRR, February, 2025

Learning Temporal Invariance in Android Malware Detectors.

Xinran Zheng, Shuo Yang, Edith C. H. Ngai, Suman Jana, Lorenzo Cavallaro

CoRR, February, 2025

Twilight: Adaptive Attention Sparsity with Hierarchical Top-<i>p</i> Pruning.

Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao

CoRR, February, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

CoRR, February, 2025

Self-Supervised Adaptation Method to Concept Drift for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xinchen Zhang, Edith C. H. Ngai

IEEE Trans. Dependable Secur. Comput., 2025

LAMD: Context-Driven Android Malware Detection and Classification with LLMs.

Xingzhi Qian, Xinran Zheng, Yiling He, Shuo Yang, Lorenzo Cavallaro

Proceedings of the 2025 IEEE Security and Privacy, 2025

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning.

Chaofan Lin, Jiaming Tang, Shuo Yang, Hanshuo Wang, Tian Tang, Boyu Tian, Ion Stoica, Song Han, Mingyu Gao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

RealFactBench: A Benchmark for Evaluating Large Language Models in Real-World Fact-Checking.

Shuo Yang, Yuqin Dai, Guoqing Wang, Xinran Zheng, Jinfeng Xu, Jinze Li, Zhenzhe Ying, Weiqiang Wang, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Yijie Li, Mengran Li, Puzhen Wu, Edith C. H. Ngai

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

Proceedings of the Forty-second International Conference on Machine Learning, 2025

HashAttention: Semantic Sparsity for Faster Inference.

Aditya Desai, Shuo Yang, Alejandro Cuadron, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Mitigating Statistical Heterogeneity in Intrusion Detection Systems within Federated Learning.

Wenhao Wu, Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Hypercomplex Prompt-aware Multimodal Recommendation.

Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation.

Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Hewei Wang, Edith C. H. Ngai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

An Efficient and Adaptive Content Delivery System Based on Hybrid Network.

Linjie Nie, Shuo Yang, Xinran Zheng, Xingjun Wang

ACM Trans. Knowl. Discov. Data, February, 2024

HashAttention: Semantic Sparsity for Faster Inference.

Aditya Desai, Shuo Yang, Alejandro Cuadron, Ana Klimovic, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

CoRR, 2024

BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching.

Yilong Zhao, Shuo Yang, Kan Zhu, Lianmin Zheng, Baris Kasikci, Yang Zhou, Jiarong Xing, Ion Stoica

CoRR, 2024

Towards Edge General Intelligence via Large Language Models: Opportunities and Challenges.

Handi Chen, Weipeng Deng, Shuo Yang, Jinfeng Xu, Zhihan Jiang, Edith C. H. Ngai, Jiangchuan Liu, Xue Liu

CoRR, 2024

Post-Training Sparse Attention with Double Sparsity.

Shuo Yang, Ying Sheng, Joseph E. Gonzalez, Ion Stoica, Lianmin Zheng

CoRR, 2024

FourierKAN-GCF: Fourier Kolmogorov-Arnold Network - An Effective and Efficient Feature Transformation for Graph Collaborative Filtering.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai

CoRR, 2024

STCA: Stacked Token-based Continuous Authentication Protocol for Zero Trust IoT.

Biao Zhang, Shuo Yang, Xinran Zheng, Xingjun Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

An Efficient (t, n) Threshold Authentication Scheme for Vehicular Ad Hoc Networks.

Wenhui Kong, Pengfei Wen, Xinran Zheng, Shuo Yang, Ning Hu, Xingjun Wang

Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

SLoRA: Scalable Serving of Thousands of LoRA Adapters.

Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph Gonzalez, Ion Stoica

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

ReCDA: Concept Drift Adaptation with Representation Enhancement for Network Intrusion Detection.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Xingjun Wang, Edith C. H. Ngai

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation.

Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Hewei Wang, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multi-Scale Contrastive Attention Representation Learning for Encrypted Traffic Classification.

Shuo Yang, Xinran Zheng, Jinze Li, Jinfeng Xu, Edith C. H. Ngai

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

IBA: A secure and efficient device-to-device interaction-based authentication scheme for Internet of Things.

Shuo Yang, Xinran Zheng, Guining Liu, Xingjun Wang

Comput. Commun., February, 2023

Rethinking Benchmark and Contamination for Language Models with Rephrased Samples.

Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, Joseph E. Gonzalez, Ion Stoica

CoRR, 2023

S-LoRA: Serving Thousands of Concurrent LoRA Adapters.

Ying Sheng, Shiyi Cao, Dacheng Li, Coleman Hooper, Nicholas Lee, Shuo Yang, Christopher Chou, Banghua Zhu, Lianmin Zheng, Kurt Keutzer, Joseph E. Gonzalez, Ion Stoica

CoRR, 2023

A Reliable and Decentralized Trust Management Model for Fog Computing in Industrial IoT.

Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the NOMS 2023, 2023

SF-IDS: An Imbalanced Semi-Supervised Learning Framework for Fine-Grained Intrusion Detection.

Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the IEEE International Conference on Communications, 2023

A Lightweight Approach for Network Intrusion Detection Based on Self-Knowledge Distillation.

Shuo Yang, Xinran Zheng, Zhengzhuo Xu, Xingjun Wang

Proceedings of the IEEE International Conference on Communications, 2023

Rethink Long-Tailed Recognition with Vision Transforms.

Zhengzhuo Xu, Shuo Yang, Xingjun Wang, Chun Yuan

Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Efficient Blockchain-Based Cross-Domain Trust Reputation Management for LS-HetNet.

Shiyang Wang, Xinran Zheng, Shuo Yang, Xingjun Wang

Proceedings of the IEEE Global Communications Conference, 2023

Learning Imbalanced Data with Vision Transformers.

Zhengzhuo Xu, Ruikang Liu, Shuo Yang, Zenghao Chai, Chun Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2017

Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC.

Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017