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ORCIDTianyi Zhang 0011
Person information
- affiliation: Rice University, Department of Computer Science, Houston, TX, USA
Other persons with the same name
- Tianyi Zhang (aka: Tian-Yi Zhang) — disambiguation page
- Tianyi Zhang 0001
![[0000-0002-5468-9347]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5468-9347")
— Purdue University, West Lafayette, IN, USA (and 2 more) - Tianyi Zhang 0002 — Hebei University, Baoding, China
- Tianyi Zhang 0003 — Zhejiang University, Hangzhou, China
- Tianyi Zhang 0004 — Nanyang Technological University, Interdisciplinary Graduate School / School of Computer Science and Engineering, Singapore
- Tianyi Zhang 0005 — Stony Brook University, NY, USA
- Tianyi Zhang 0006 — Beijing Institute of Technology, School of Information and Electronics, Radar Research Lab, China
- Tianyi Zhang 0007 — ASAPP Inc. (and 1 more)
- Tianyi Zhang 0008 — ETH Zürich, Zurich, Switzerland (and 2 more)
- Tianyi Zhang 0009 — Louisiana State University, Baton Rouge, LA, USA
- Tianyi Zhang 0010 — University of Florida Gainesville, Department of Electrical and Computer Engineering, FL, USA
- Tianyi Zhang 0012 — Singapore Management University
- Tianyi Zhang 0013 — Vrije Universiteit Amsterdam, The Netherlands
- Tianyi Zhang 0014 — Carnegie Mellon University, School of Computer Science, Robotics Institute, Pittsburgh, PA, USA (and 1 more)
- Tianyi Zhang 0015 — University of Washington, Seattle, WA, USA
- Tianyi Zhang 0016 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
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2020 – today
- 2025
[j1]Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu:
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. Trans. Mach. Learn. Res. 2025 (2025)- [c10]Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman:
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. ACL (Findings) 2025: 12575-12591 - [c9]Tianyi Zhang, Anshumali Shrivastava:
LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid. ICLR 2025 - [c8]Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava:
Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation. ICML 2025 - [c7]Tianyi Zhang, Gaurav Gupta, Aditya Desai, Anshumali Shrivastava:
IDentity with Locality: An Ideal Hash for Gene Sequence Search. KDD (1) 2025: 1972-1983 - [i11]Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Tianyi Zhang, Anshumali Shrivastava, Lin Yang, Vladimir Braverman:
I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. CoRR abs/2502.05790 (2025) - [i10]Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Hanjie Chen, Xia Ben Hu:
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. CoRR abs/2503.16419 (2025) - [i9]Tianyi Zhang, Yang Sui, Shaochen Zhong, Vipin Chaudhary, Xia Hu, Anshumali Shrivastava:
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float. CoRR abs/2504.11651 (2025) - [i8]Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman:
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. CoRR abs/2506.19993 (2025) - [i7]Zeyu Yang, Tianyi Zhang, Jianwen Xie, Chuan Li, Zhaozhuo Xu, Anshumali Shrivastava:
To Compress or Not? Pushing the Frontier of Lossless GenAI Model Weights Compression with Exponent Concentration. CoRR abs/2510.02676 (2025) - 2024
- [c6]Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava:
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. NeurIPS 2024 - [c5]Tianyi Zhang, Jonah Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava:
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. NeurIPS 2024 - [c4]Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava:
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. WWW 2024: 980-991 - [i6]Tianyi Zhang, Jonah Wonkyu Yi, Bowen Yao, Zhaozhuo Xu, Anshumali Shrivastava:
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. CoRR abs/2403.01273 (2024) - [i5]Tianyi Zhang, Jonah Yi, Zhaozhuo Xu, Anshumali Shrivastava:
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. CoRR abs/2405.03917 (2024) - [i4]Aditya Desai, Gaurav Gupta, Tianyi Zhang, Anshumali Shrivastava:
IDentity with Locality: An ideal hash for gene sequence search. CoRR abs/2406.14901 (2024) - [i3]Tianyi Zhang, Anshumali Shrivastava:
LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid. CoRR abs/2407.10032 (2024) - [i2]Tianyi Zhang, Junda Su, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava:
SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. CoRR abs/2410.06364 (2024) - 2023
- [c3]Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava:
Graph Self-supervised Learning via Proximity Distribution Minimization. UAI 2023: 2498-2508 - [i1]Tianyi Zhang, Haoteng Yin, Rongzhe Wei, Pan Li, Anshumali Shrivastava:
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. CoRR abs/2312.16784 (2023) - 2022
- [c2]Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava:
Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. EMNLP (Findings) 2022: 4937-4947 - [c1]Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava:
Retaining Knowledge for Learning with Dynamic Definition. NeurIPS 2022
Coauthor Index
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