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2020 – today
- 2026
[i14]Hao Wang, Wenhui Zhu, Shao Tang, Zhipeng Wang, Xuanzhao Dong, Xin Li, Xiwen Chen, Ashish Bastola, Xinhao Huang, Yalin Wang, Abolfazl Razi:
EZBlender: Efficient 3D Editing with Plan-and-ReAct Agent. CoRR abs/2601.07143 (2026)- 2025
- [c4]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:
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems. EMNLP (Industry Track) 2025: 1687-1702 - [c3]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:
AlphaPO: Reward Shape Matters for LLM Alignment. ICML 2025 - [c2]Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne:
On the Robustness of Reward Models for Language Model Alignment. ICML 2025 - [c1]Kayhan Behdin
, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu, Pin-Lun Hsu:
Efficient Algorithms for Leveraging LLMs for Generative and Predictive Recommender Systems. WWW (Companion Volume) 2025: 1-4 - [i13]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:
AlphaPO - Reward shape matters for LLM alignment. CoRR abs/2501.03884 (2025) - [i12]Gregory Dexter, Shao Tang, Ata Fatahi Baarzi, Qingquan Song, Tejas Dharamsi, Aman Gupta:
LLM Query Scheduling with Prefix Reuse and Latency Constraints. CoRR abs/2502.04677 (2025) - [i11]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:
Efficient AI in Practice: Training and Deployment of Efficient LLMs for Industry Applications. CoRR abs/2502.14305 (2025) - [i10]Jiwoo Hong, Noah Lee, Eunki Kim, Guijin Son, Woojin Chung, Aman Gupta, Shao Tang, James Thorne:
On the Robustness of Reward Models for Language Model Alignment. CoRR abs/2505.07271 (2025) - [i9]John Bencina, Erkut Aykutlug, Yue Chen, Zerui Zhang, Stephanie Sorenson, Shao Tang, Changshuai Wei:
LiDDA: Data Driven Attribution at LinkedIn. CoRR abs/2505.09861 (2025) - [i8]Xuanzhao Dong, Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Peijie Qiu, Shao Tang, Xin Li, Yalin Wang:
LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding. CoRR abs/2508.01617 (2025) - [i7]Wenhui Zhu, Xiwen Chen, Zhipeng Wang, Shao Tang, Sayan Ghosh, Xuanzhao Dong, Rajat Koner, Yalin Wang:
EVTP-IVS: Effective Visual Token Pruning For Unifying Instruction Visual Segmentation In Multi-Modal Large Language Models. CoRR abs/2508.11886 (2025) - [i6]Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder:
Reasoning Models Can be Accurately Pruned Via Chain-of-Thought Reconstruction. CoRR abs/2509.12464 (2025) - [i5]Aman Gupta, Rafael Celente, Abhishek Shivanna, D. T. Braithwaite, Gregory Dexter, Shao Tang, Hiroto Udagawa, Daniel Silva, Rohan Ramanath, S. Sathiya Keerthi:
Effective Quantization of Muon Optimizer States. CoRR abs/2509.23106 (2025) - [i4]Siyu Zhu, Yanbin Jiang, Hejian Sang, Shao Tang, Qingquan Song, Biao He, Rohit Jain, Zhipeng Wang, Alborz Geramifard:
Planner-R1: Reward Shaping Enables Efficient Agentic RL with Smaller LLMs. CoRR abs/2509.25779 (2025) - [i3]Xuanzhao Dong, Wenhui Zhu, Yujian Xiong, Xiwen Chen, Hao Wang, Xin Li, Jiajun Cheng, Zhipeng Wang, Shao Tang, Oana M. Dumitrascu, Yalin Wang:
VAOT: Vessel-Aware Optimal Transport for Retinal Fundus Enhancement. CoRR abs/2511.18763 (2025) - [i2]Wei-Rui Chen, Vignesh Kothapalli, Ata Fatahi Baarzi, Hejian Sang, Shao Tang, Qingquan Song, Zhipeng Wang, Muhammad Abdul-Mageed:
Distilling the Essence: Efficient Reasoning Distillation via Sequence Truncation. CoRR abs/2512.21002 (2025) - 2024
- [i1]Pin-Lun Hsu, Yun Dai, Vignesh Kothapalli, Qingquan Song, Shao Tang, Siyu Zhu, Steven Shimizu, Shivam Sahni, Haowen Ning, Yanning Chen:
Liger Kernel: Efficient Triton Kernels for LLM Training. CoRR abs/2410.10989 (2024) - 2022
- [j3]Yiyuan She, Shao Tang, Jingze Liu:
On Generalization and Computation of Tukey's Depth: Part I. J. Data Sci. Stat. Vis. 2(1) (2022) - [j2]Yiyuan She, Shao Tang, Jingze Liu:
On Generalization and Computation of Tukey's Depth: Part II. J. Data Sci. Stat. Vis. 2(2) (2022) - 2020
- [j1]Yiyuan She, Shao Tang, Qiaoya Zhang:
Indirect Gaussian Graph Learning Beyond Gaussianity. IEEE Trans. Netw. Sci. Eng. 7(3): 918-929 (2020)
Coauthor Index
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