Zongyue Qin

According to our database, Zongyue Qin authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ConFu: Contemplate the Future for Better Speculative Sampling.

Zongyue Qin, Raghavv Goel, Mukul Gagrani, Risheek Garrepalli, Mingu Lee, Yizhou Sun

CoRR, March, 2026

2025

Heuristic Methods are Good Teachers to Distill MLPs for Graph Link Prediction.

Zongyue Qin, Shichang Zhang, Mingxuan Ju, Tong Zhao, Neil Shah, Yizhou Sun

CoRR, April, 2025

STree: Speculative Tree Decoding for Hybrid State Space Models.

Yangchao Wu, Zongyue Qin, Alex Wong, Stefano Soatto

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing.

Zifan He, Yingqi Cao, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference.

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic-Width Speculative Beam Decoding for LLM Inference.

Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Hierarchical Mixture of Experts: Generalizable Learning for High-Level Synthesis.

Weikai Li, Ding Wang, Zijian Ding, Atefeh Sohrabizadeh, Zongyue Qin, Jason Cong, Yizhou Sun

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference.

Zongyue Qin, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

Relational Database Augmented Large Language Model.

Zongyue Qin, Chen Luo, Zhengyang Wang, Haoming Jiang, Yizhou Sun

CoRR, 2024

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference.

Zongyue Qin, Ziniu Hu, Zifan He, Neha Prakriya, Jason Cong, Yizhou Sun

CoRR, 2024

HMT: Hierarchical Memory Transformer for Long Context Language Processing.

Zifan He, Zongyue Qin, Neha Prakriya, Yizhou Sun, Jason Cong

CoRR, 2024

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis.

Zongyue Qin, Yunsheng Bai, Atefeh Sohrabizadeh, Zijian Ding, Ziniu Hu, Yizhou Sun, Jason Cong

Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024

Efficient Task Transfer for HLS DSE.

Zijian Ding, Atefeh Sohrabizadeh, Weikai Li, Zongyue Qin, Yizhou Sun, Jason Cong

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

2023

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs.

Yunsheng Bai, Atefeh Sohrabizadeh, Zongyue Qin, Ziniu Hu, Yizhou Sun, Jason Cong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

GHashing: Semantic Graph Hashing for Approximate Similarity Search in Graph Databases.

Zongyue Qin, Yunsheng Bai, Yizhou Sun

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Gated Relational Graph Neural Network for Semi-supervised Learning on Knowledge Graphs.

Yuyan Chen, Lei Zou, Zongyue Qin

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019