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2020 – today
- 2025
[c8]Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang:
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models. ACL (Findings) 2025: 6892-6908- [c7]Zhitao He, Sandeep Polisetty, Zhiyuan Fan, Yuchen Huang, Shujin Wu, Yi R. Fung:
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration. ACL (1) 2025: 16427-16444 - [c6]Zhiyuan Fan, Yumeng Wang
, Sandeep Polisetty, Yi R. Fung:
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward. ACL (Findings) 2025: 20222-20242 - [c5]Junsheng Huang, Zhitao He, Yuchen Huang, Sandeep Polisetty, Qingyun Wang, Yi R. Fung:
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness. EMNLP 2025: 663-676 - [c4]Sandeep Polisetty, Juelin Liu, Yi Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini:
Spa: Scaling Graph Neural Network Training on Large graphs via Probabilistic splitting. MLSys 2025 - [i8]Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang:
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models. CoRR abs/2504.09897 (2025) - [i7]Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty, Yi R. Fung:
V2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations. CoRR abs/2504.16727 (2025) - [i6]Junsheng Huang, Zhitao He, Sandeep Polisetty, Qingyun Wang, May Fung:
MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary Awareness. CoRR abs/2504.21773 (2025) - [i5]Zhitao He, Sandeep Polisetty, Zhiyuan Fan, Yuchen Huang, Shujin Wu, Yi R. Fung:
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration. CoRR abs/2505.23224 (2025) - [i4]Yuchen Huang, Zhiyuan Fan, Zhitao He, Sandeep Polisetty, Wenyan Li, Yi R. Fung:
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions. CoRR abs/2507.06210 (2025) - 2024
- [i3]Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini:
GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. CoRR abs/2403.01050 (2024) - 2023
- [c3]Juelin Liu, Sandeep Polisetty, Hui Guan, Marco Serafini:
GraphMini: Accelerating Graph Pattern Matching Using Auxiliary Graphs. PACT 2023: 211-224 - [i2]Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini:
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. CoRR abs/2303.13775 (2023) - 2021
- [c2]Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil:
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) 2021: 1683-1698 - [c1]Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini:
Accelerating graph sampling for graph machine learning using GPUs. EuroSys 2021: 311-326 - 2020
- [i1]Abhinav Jangda, Sandeep Polisetty, Arjun Guha, Marco Serafini:
NextDoor: GPU-Based Graph Sampling for Graph Machine Learning. CoRR abs/2009.06693 (2020)
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