Junxiong Wang

According to our database, Junxiong Wang authored at least 47 papers between 2017 and 2026.

Collaborative distances:

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

2026

Introspective Diffusion Language Models.

Yifan Yu, Yuqing Jian, Junxiong Wang, Zhongzhu Zhou, Donglin Zhuang, Xinyu Fang, Sri Yanamandra, Xiaoxia Wu, Qingyang Wu, Shuaiwen Leon Song, Tri Dao, Ben Athiwaratkun, James Zou, Fan Lai, Chenfeng Xu

CoRR, April, 2026

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution.

Monishwaran Maheswaran, Leon Lakhani, Zhongzhu Zhou, Shijia Yang, Junxiong Wang, Coleman Hooper, Yuezhou Hu, Rishabh Tiwari, Jue Wang, Harman Singh, Qingyang Wu, Yuqing Jian, Ce Zhang, Kurt Keutzer, Tri Dao, Xiaoxia Wu, Ben Athiwaratkun, James Zou, Chenfeng Xu

CoRR, April, 2026

CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention.

Zhongzhu Zhou, Fengxiang Bie, Ziyan Chen, Zhenyu Zhang, Yibo Yang, Junxiong Wang, Ben Athiwaratkun, Xiaoxia Wu, Shuaiwen Leon Song

CoRR, March, 2026

V₁: Unifying Generation and Self-Verification for Parallel Reasoners.

Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan, Xiaoxia Wu, Junxiong Wang, Alpay Ariyak, Qingyang Wu, Samir Khaki, Rishabh Tiwari, Long Lian, Yucheng Lu, Boyi Li, Alane Suhr, Ben Athiwaratkun, Kurt Keutzer

CoRR, March, 2026

ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System.

Hao Kang, Ziyang Li, Xinyu Yang, Weili Xu, Yinfang Chen, Junxiong Wang, Beidi Chen, Tushar Krishna, Chenfeng Xu, Simran Arora

CoRR, February, 2026

When RL Meets Adaptive Speculative Training: A Unified Training-Serving System.

Junxiong Wang, Fengxiang Bie, Jisen Li, Zhongzhu Zhou, Zelei Shao, Yubo Wang, Yinghui Liu, Qingyang Wu, Avner May, Sri Yanamandra, Yineng Zhang, Ce Zhang, Tri Dao, Percy Liang, Ben Athiwaratkun, Shuaiwen Leon Song, Chenfeng Xu, Xiaoxia Wu

CoRR, February, 2026

Distilling Token-Trained Models into Byte-Level Models.

Zishuo Bao, Jiaqi Leng, Junxiong Wang, Bowen Peng, Yucheng Lu

CoRR, February, 2026

An Open-Vocabulary Industrial Anomaly Detection method based on CLIP and LLM.

Junxiong Wang, Chunrui Li, Yi Zhang, Ziwei Liu

Adv. Eng. Informatics, 2026

Fairness-in-the-Workflow: How Machine Learning Practitioners at Big Tech Companies Approach Fairness in Recommender Systems.

Jing Nathan Yan, Emma Harvey, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2025

Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost.

Haojun Xia, Xiaoxia Wu, Jisen Li, Robert Wu, Junxiong Wang, Jue Wang, Chenxi Li, Aman Singhal, Alay Dilipbhai Shah, Alpay Ariyak, Donglin Zhuang, Zhongzhu Zhou, Ben Athiwaratkun, Zhen Zheng, Shuaiwen Leon Song

CoRR, November, 2025

Beat the long tail: Distribution-Aware Speculative Decoding for RL Training.

Zelei Shao, Vikranth Srivatsa, Sanjana Srivastava, Qingyang Wu, Alpay Ariyak, Xiaoxia Wu, Ameen Patel, Jue Wang, Percy Liang, Tri Dao, Ce Zhang, Yiying Zhang, Ben Athiwaratkun, Chenfeng Xu, Junxiong Wang

CoRR, November, 2025

Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining.

Costin-Andrei Oncescu, Qingyang Wu, Wai Tong Chung, Robert Wu, Bryan Gopal, Junxiong Wang, Tri Dao, Ben Athiwaratkun

CoRR, November, 2025

Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models.

Jiaqi Leng, Xiang Hu, Junxiong Wang, Jianguo Li, Wei Wu, Yucheng Lu

CoRR, October, 2025

OverFill: Two-Stage Models for Efficient Language Model Decoding.

Woojeong Kim, Junxiong Wang, Jing Nathan Yan, Mohamed Abdelfattah, Alexander M. Rush

CoRR, August, 2025

Fairness Practices in Industry: A Case Study in Machine Learning Teams Building Recommender Systems.

Jing Nathan Yan, Junxiong Wang, Jeffrey M. Rzeszotarski, Allison Koenecke

CoRR, May, 2025

M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models.

Junxiong Wang, Wen-Ding Li, Daniele Paliotta, Daniel Ritter, Alexander M. Rush, Tri Dao

CoRR, April, 2025

Thinking Slow, Fast: Scaling Inference Compute with Distilled Reasoners.

Daniele Paliotta, Junxiong Wang, Matteo Pagliardini, Kevin Y. Li, Aviv Bick, J. Zico Kolter, Albert Gu, François Fleuret, Tri Dao

CoRR, February, 2025

Automatic multiple-object tracking of farm livestock with improved MOTR.

Hao Ma, Yaqin Zhao, Zixuan Yin, Ying Pu, Junxiong Wang

Expert Syst. Appl., 2025

Wind turbine blade fault detection based on graph Fourier transform and deep learning.

Xiang Pan, Andi Chen, Chenhui Zhang, Junxiong Wang, Jie Zhou, Weize Xu

Digit. Signal Process., 2025

Research on an Improved Efficiency Active Clamp Converters.

Yuqi Zhang, Fuwang Yang, Yitong Zhang, Wenfan Li, Yaoxiong Wang, Junxiong Wang

Proceedings of the IEEE International Conference on Industrial Technology, 2025

A Sliding Mode Active Disturbance Rejection Control Based on Bidirectional DC-DC Converter.

Fuwang Yang, Yuqi Zhang, Yitong Zhang, Junxiong Wang, Yaoxiong Wang, Wenfan Li

Proceedings of the IEEE International Conference on Industrial Technology, 2025

2024

Fast joint estimation of direction of arrival and towed array shape based on marginal likelihood maximization.

Junxiong Wang, Xiang Pan, Ao Li, Fenting Liu, Jianbo Jiao

Digit. Signal Process., 2024

Entity Disambiguation via Fusion Entity Decoding.

Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li

CoRR, 2024

MambaByte: Token-free Selective State Space Model.

Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush

CoRR, 2024

JoinGym: An Efficient Join Order Selection Environment.

Junxiong Wang, Kaiwen Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun

RLJ, 2024

The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

Junxiong Wang, Daniele Paliotta, Avner May, Alexander M. Rush, Tri Dao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Entity Disambiguation via Fusion Entity Decoding.

Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning.

Junxiong Wang, Immanuel Trummer, Ahmet Kara, Dan Olteanu

Proc. VLDB Endow., 2023

Demonstrating ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Joins via Reinforcement Learning.

Junxiong Wang, Mitchell Gray, Immanuel Trummer, Ahmet Kara, Dan Olteanu

Proc. VLDB Endow., 2023

JoinGym: An Efficient Query Optimization Environment for Reinforcement Learning.

Kaiwen Wang, Junxiong Wang, Yueying Li, Nathan Kallus, Immanuel Trummer, Wen Sun

CoRR, 2023

Fast Gridless DOA Estimation with Multiple Frequencies Using Synthetic Sparse Planar Array.

Jianbo Jiao, Junxiong Wang, Xiang Pan

Proceedings of the IEEE International Conference on Signal Processing, 2023

Pretraining Without Attention.

Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Budget-aware Index Tuning with Reinforcement Learning.

Wentao Wu, Chi Wang, Tarique Siddiqui, Junxiong Wang, Vivek R. Narasayya, Surajit Chaudhuri, Philip A. Bernstein

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback.

Junxiong Wang, Debabrota Basu, Immanuel Trummer

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SkinnerDB: Regret-bounded Query Evaluation via Reinforcement Learning.

Immanuel Trummer, Junxiong Wang, Ziyun Wei, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis, Ankush Rayabhari

ACM Trans. Database Syst., 2021

UDO: Universal Database Optimization using Reinforcement Learning.

Junxiong Wang, Immanuel Trummer, Debabrota Basu

Proc. VLDB Endow., 2021

Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning.

Junxiong Wang, Immanuel Trummer, Debabrota Basu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2019

Feature Extraction of Ship-Radiated Noise Based on Intrinsic Time-Scale Decomposition and a Statistical Complexity Measure.

Junxiong Wang, Zhe Chen

Entropy, 2019

SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning.

Immanuel Trummer, Junxiong Wang, Deepak Maram, Samuel Moseley, Saehan Jo, Joseph Antonakakis

Proceedings of the 2019 International Conference on Management of Data, 2019

Compressed Sensing of Complex Reflections Using Range-Azimuth Dictionary in a Bionic Sonar System.

Changsheng Yang, Junxiong Wang, Hong Liang, Herbert Peremans

Proceedings of the Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery - Proceedings of the 15th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2019), Kunming, China, July 20-22, 2019, 2019

2018

Secure, efficient and revocable data sharing scheme for vehicular fogs.

Kai Fan, Junxiong Wang, Xin Wang, Hui Li, Yintang Yang

Peer-to-Peer Netw. Appl., 2018

Iteration acceleration for distributed learning systems.

Junxiong Wang, Hongzhi Wang, Chenxu Zhao, Jianzhong Li, Hong Gao

Parallel Comput., 2018

Locking Timestamps versus Locking Objects.

Marcos K. Aguilera, Tudor David, Rachid Guerraoui, Junxiong Wang

Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing, 2018

Cross-Domain Based Data Sharing Scheme in Cooperative Edge Computing.

Kai Fan, Qiang Pan, Junxiong Wang, Tingting Liu, Hui Li, Yintang Yang

Proceedings of the 2018 IEEE International Conference on Edge Computing, 2018

2017

A Secure and Verifiable Outsourced Access Control Scheme in Fog-Cloud Computing.

Kai Fan, Junxiong Wang, Xin Wang, Hui Li, Yintang Yang

Sensors, 2017

Proxy-assisted access control scheme of cloud data for smart cities.

Kai Fan, Junxiong Wang, Xin Wang, Yintang Yang

Pers. Ubiquitous Comput., 2017

Multi-Keyword Fuzzy and Sortable Ciphertext Retrieval Scheme for Big Data.

Kai Fan, Jie Yin, Junxiong Wang, Hui Li, Yintang Yang

Proceedings of the 2017 IEEE Global Communications Conference, 2017