NextDoor: GPU-Based Graph Sampling for Graph Machine Learning. - Abhinav Jangda; Sandeep Polisetty; Arjun Guha; Marco Serafini (CoRR, 2020)

InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. - Yi R. Fung 001; Christopher Thomas 004; Revanth Gangi Reddy; Sandeep Polisetty; Heng Ji 001; Shih-Fu Chang; Kathleen R. McKeown; Mohit Bansal; Avi Sil (ACL/IJCNLP (1), 2021)

Accelerating graph sampling for graph machine learning using GPUs. - Abhinav Jangda; Sandeep Polisetty; Arjun Guha; Marco Serafini (EuroSys, 2021)

GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. - Juelin Liu; Sandeep Polisetty; Hui Guan 001; Marco Serafini (PACT, 2023)

GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. - Sandeep Polisetty; Juelin Liu; Kobi Falus; Yi Ren Fung 001; Seung-Hwan Lim; Hui Guan 001; Marco Serafini (CoRR, 2023)

MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration. - Zhitao He 001; Sandeep Polisetty; Zhiyuan Fan; Yuchen Huang; Shujin Wu; Yi R. Fung 001 (ACL (1), 2025)

Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward. - Zhiyuan Fan; Yumeng Wang; Sandeep Polisetty; Yi R. Fung 001 (ACL (Findings), 2025)

TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models. - Jaewoo Lee; Keyang Xuan; Chanakya Ekbote; Sandeep Polisetty; Yi R. Fung 001; Paul Pu Liang (ACL (Findings), 2025)

V2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations. - Zhiyuan Fan; Yumeng Wang; Sandeep Polisetty; Yi R. Fung 001 (CoRR, 2025)

MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness. - Junsheng Huang; Zhitao He 001; Sandeep Polisetty; Qingyun Wang 005; May Fung (CoRR, 2025)

CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions. - Yuchen Huang; Zhiyuan Fan; Zhitao He 001; Sandeep Polisetty; Wenyan Li; Yi R. Fung 001 (CoRR, 2025)