Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. - Tianyi Zhang 011; Zhaozhuo Xu; Tharun Medini; Anshumali Shrivastava (EMNLP (Findings), 2022)

Retaining Knowledge for Learning with Dynamic Definition. - Zichang Liu; Benjamin Coleman; Tianyi Zhang 011; Anshumali Shrivastava (NeurIPS, 2022)

Graph Self-supervised Learning via Proximity Distribution Minimization. - Tianyi Zhang 011; Zhenwei Dai; Zhaozhuo Xu; Anshumali Shrivastava (UAI, 2023)

KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization. - Tianyi Zhang 011; Jonah Yi; Zhaozhuo Xu; Anshumali Shrivastava (NeurIPS, 2024)

NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention. - Tianyi Zhang 011; Jonah Yi; Bowen Yao; Zhaozhuo Xu; Anshumali Shrivastava (NeurIPS, 2024)

Learning Scalable Structural Representations for Link Prediction with Bloom Signatures. - Tianyi Zhang 011; Haoteng Yin; Rongzhe Wei; Pan Li 005; Anshumali Shrivastava (WWW, 2024)

LeanQuant: Accurate Large Language Model Quantization with Loss-Error-Aware Grid. - Tianyi Zhang 011; Anshumali Shrivastava (CoRR, 2024)

SpaLLM: Unified Compressive Adaptation of Large Language Models with Sketching. - Tianyi Zhang 011; Junda Su; Oscar Wu; Zhaozhuo Xu; Anshumali Shrivastava (CoRR, 2024)

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. - Haochen Zhang; Tianyi Zhang 011; Junze Yin; Oren Gal; Anshumali Shrivastava; Vladimir Braverman (ACL (Findings), 2025)

LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid. - Tianyi Zhang 011; Anshumali Shrivastava (ICLR, 2025)

IDentity with Locality: An Ideal Hash for Gene Sequence Search. - Tianyi Zhang 011; Gaurav Gupta; Aditya Desai; Anshumali Shrivastava (KDD (1), 2025)

I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. - Haochen Zhang; Junze Yin; Guanchu Wang; Zirui Liu 001; Tianyi Zhang 011; Anshumali Shrivastava; Lin Yang 011; Vladimir Braverman (CoRR, 2025)