Shao Tang

According to our database, Shao Tang authored at least 26 papers between 2020 and 2026.

Collaborative distances:

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

2026

Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning.

Xuanzhao Dong, Wenhui Zhu, Peijie Qiu, Xiwen Chen, Xiaobing Yu, Xin Li, Zhipeng Wang, Shao Tang, Gen Li, Yujian Xiong, Hao Wang, Yanxi Chen, Prayag Tiwari, Yalin Wang

CoRR, May, 2026

OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models.

Xuanzhao Dong, Wenhui Zhu, Xiwen Chen, Hao Wang, Xin Li, Yujian Xiong, Jiajun Cheng, Jingjing Wang, Xiaobing Yu, Haiyu Wu, Shao Tang, Zhipeng Wang, Langechuan Liu, Shan Lin, Oana M. Dumitrascu, Yalin Wang

CoRR, May, 2026

Your Agent is More Brittle Than You Think: Uncovering Indirect Injection Vulnerabilities in Agentic LLMs.

Wenhui Zhu, Xuanzhao Dong, Xiwen Chen, Rui Cai, Peijie Qiu, Zhipeng Wang, Oana Frunza, Shao Tang, Jindong Gu, Yalin Wang

CoRR, April, 2026

Bridging Restoration and Diagnosis: A Comprehensive Benchmark for Retinal Fundus Enhancement.

Xuanzhao Dong, Wenhui Zhu, Xiwen Chen, Hao Wang, Xin Li, Yujian Xiong, Jiajun Cheng, Zhipeng Wang, Shao Tang, Oana M. Dumitrascu, Yalin Wang

CoRR, April, 2026

OTPrune: Distribution-Aligned Visual Token Pruning via Optimal Transport.

Xiwen Chen, Wenhui Zhu, Gen Li, Xuanzhao Dong, Yujian Xiong, Hao Wang, Peijie Qiu, Qingquan Song, Zhipeng Wang, Shao Tang, Yalin Wang, Abolfazl Razi

CoRR, February, 2026

Bayesian Preference Learning for Test-Time Steerable Reward Models.

Jiwoo Hong, Shao Tang, Zhipeng Wang

CoRR, February, 2026

EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent.

Hao Wang, Wenhui Zhu, Shao Tang, Zhipeng Wang, Xuanzhao Dong, Xin Li, Xiwen Chen, Ashish Bastola, Xinhao Huang, Yalin Wang, Abolfazl Razi

CoRR, January, 2026

EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models.

Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Shao Tang, Sayan Ghosh, Xuanzhao Dong, Rajat Koner, Yalin Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation.

Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed

CoRR, December, 2025

VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement.

Xuanzhao Dong, Wenhui Zhu, Yujian Xiong, Xiwen Chen, Hao Wang, Xin Li, Jiajun Cheng, Zhipeng Wang, Shao Tang, Oana M. Dumitrascu, Yalin Wang

CoRR, November, 2025

Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs.

Siyu Zhu, Yanbin Jiang, Hejian Sang, Shao Tang, Qingquan Song, Biao He, Rohit Jain, Zhipeng Wang, Alborz Geramifard

CoRR, September, 2025

Effective Quantization of Muon Optimizer States.

Aman Gupta, Rafael Celente, Abhishek Shivanna, D. T. Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, S. Sathiya Keerthi

CoRR, September, 2025

Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction.

Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder

CoRR, September, 2025

LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding.

Xuanzhao Dong, Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Peijie Qiu, Shao Tang, Xin Li, Yalin Wang

CoRR, August, 2025

LiDDA: Data Driven Attribution at LinkedIn.

John Bencina, Erkut Aykutlug, Yue Chen, Zerui Zhang, Stephanie Sorenson, Shao Tang, Changshuai Wei

CoRR, May, 2025

Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications.

Kayhan Behdin, Yun Dai, Ata Fatahi Baarzi, Aman Gupta, Qingquan Song, Shao Tang, Hejian Sang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Maziar Sanjabi, Vignesh Kothapalli, Hamed Firooz, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Zhipeng Wang, Rahul Mazumder, Natesh S. Pillai, Luke Simon

CoRR, February, 2025

AlphaPO - Reward shape matters for LLM alignment.

Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Jason Zhu, Natesh S. Pillai, S. Sathiya Keerthi

CoRR, January, 2025

Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems.

Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LLM Query Scheduling with Prefix Reuse and Latency Constraints.

Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta

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

On the Robustness of Reward Models for Language Model Alignment.

Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne

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

AlphaPO: Reward Shape Matters for LLM Alignment.

Aman Gupta, Shao Tang, Qingquan Song, Sirou Zhu, Jiwoo Hong, Ankan Saha, Viral Gupta, Noah Lee, Eunki Kim, Siyu Zhu, Parag Agrawal, Natesh S. Pillai, S. Sathiya Keerthi

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

Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems.

Kayhan Behdin, Ata Fatahi Baarzi, Qingquan Song, Yun Dai, Aman Gupta, Zhipeng Wang, Hejian Sang, Shao Tang, Gregory Dexter, Sirou Zhu, Siyu Zhu, Tejas Dharamsi, Vignesh Kothapalli, Zhoutong Fu, Yihan Cao, Pin-Lun Hsu, Fedor Borisyuk, Natesh S. Pillai, Luke Simon, Rahul Mazumder

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Liger Kernel: Efficient Triton Kernels for LLM Training.

Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen

CoRR, 2024

2022

On Generalization and Computation of Tukey's Depth: Part II.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

On Generalization and Computation of Tukey's Depth: Part I.

Yiyuan She, Shao Tang, Jingze Liu

J. Data Sci. Stat. Vis., 2022

2020

Indirect Gaussian Graph Learning Beyond Gaussianity.

Yiyuan She, Shao Tang, Qiaoya Zhang

IEEE Trans. Netw. Sci. Eng., 2020