Qingru Zhang

According to our database, Qingru Zhang authored at least 19 papers between 2002 and 2025.

Collaborative distances:

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

2025

Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs.

Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman

CoRR, May, 2025

Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models.

Ilgee Hong, Changlong Yu, Liang Qiu, Weixiang Yan, Zhenghao Xu, Haoming Jiang, Qingru Zhang, Qin Lu, Xin Liu, Chao Zhang, Tuo Zhao

CoRR, May, 2025

Multiscale Spatio-Temporal Fusion Network for video dehazing.

Qingru Zhang, Guorong Chen, Yixuan Zhang, Jinmei Zhang, Shaofeng Liu, Jian Wang

Comput. Vis. Image Underst., 2025

2024

Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering.

Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng

CoRR, 2024

Robust Reinforcement Learning from Corrupted Human Feedback.

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Qingru Zhang, Zixuan Zhang, Tuo Zhao

CoRR, 2024

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

CoRR, 2024

Robust Reinforcement Learning from Corrupted Human Feedback.

Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs.

Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GEAR: An Efficient Error Reduction Framework for KV Cache Compression in LLM Inference.

Hao Kang, Qingru Zhang, Souvik Kundu, Geonhwa Jeong, Zaoxing Liu, Tushar Krishna, Tuo Zhao

Proceedings of the NeurIPS Efficient Natural Language and Speech Processing Workshop, 2024

2023

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.

Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao

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

Less is More: Task-aware Layer-wise Distillation for Language Model Compression.

Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao

Proceedings of the International Conference on Machine Learning, 2023

LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation.

Yixiao Li, Yifan Yu, Qingru Zhang, Chen Liang, Pengcheng He, Weizhu Chen, Tuo Zhao

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning.

Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer.

Qingru Zhang, Dhananjay Ram, Cole Hawkins, Sheng Zha, Tuo Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation.

Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance.

Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao

Proceedings of the International Conference on Machine Learning, 2022

2021

A Biased Graph Neural Network Sampler with Near-Optimal Regret.

Qingru Zhang, David Wipf, Quan Gan, Le Song

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods.

Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu

Proceedings of the 7th International Conference on Learning Representations, 2019

2002

Webquery: a simple web-enabled system for database management.

Ping Wang, Qingru Zhang

J. Comput. Sci. Coll., 2002