Zhaozhuo Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
13
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. | Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Zhenqiang Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi W. Ma, Chaowei Xiao, Bo Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang |
| 2026 | ACL | Query-Aware Knowledge Retrieval via Hyperbolic Structuring. | Chuang Zhou, Junnan Dong, Yilin Xiao, Shengyuan Chen, Su Dong, Di Yin, Xing Sun, Zhaozhuo Xu, Xiao Huang |
| 2026 | ACL | Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG. | Chuang Zhou, Zheng Yuan, Linhao Luo, Zhaozhuo Xu, Yilin Xiao, Junnan Dong, Siyu An, Di Yin, Xing Sun, Xiao Huang |
| 2025 | AAAI | Compression-Aware Computing for Scalable and Sustainable AI. | Zhaozhuo Xu |
| 2025 | ACL | Taming Language Models for Text-attributed Graph Learning with Decoupled Aggregation. | Chuang Zhou, Zhu Wang, Shengyuan Chen, Jiahe Du, Qiyuan Zheng, Zhaozhuo Xu, Xiao Huang |
| 2025 | EMNLP | Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting. | Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang |
| 2025 | EMNLP | Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context. | Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang |
| 2025 | EMNLP | DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. | Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu |
| 2025 | EMNLP | Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. | Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu |
| 2025 | ICDM | Building Self-Awareness of LLMs Over Weight Quantization. | Alexander Poon, Zhaozhuo Xu |
| 2025 | ICLR | Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. | Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu |
| 2025 | ICML | Sketch to Adapt: Fine-Tunable Sketches for Efficient LLM Adaptation. | Tianyi Zhang, Junda Su, Aditya Desai, Oscar Wu, Zhaozhuo Xu, Anshumali Shrivastava |
| 2025 | ICML | Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate. | Jiahe Du, Kaixiong Zhou, Xinyu Hong, Zhaozhuo Xu, Jinbo Xu, Xiao Huang |
| 2025 | ICML | Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks. | Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang |
| 2025 | NAACL | ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. | Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu |
| 2025 | OSDI | ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization. | Zhuang Wang, Zhaozhuo Xu, Jingyi Xi, Yuke Wang, Anshumali Shrivastava, T. S. Eugene Ng |
| 2025 | UAI | Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. | Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo |
| 2024 | ACL | Token-wise Influential Training Data Retrieval for Large Language Models. | Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao |
| 2024 | EMNLP | QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. | Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu |
| 2024 | EMNLP | TensorOpera Router: A Multi-Model Router for Efficient LLM Inference. | Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin, Yuhang Yao, Jipeng Zhang, Tong Zhang, Salman Avestimehr, Chaoyang He |
| 2024 | EMNLP | In Defense of Structural Sparse Adapters for Concurrent LLM Serving. | Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu |
| 2024 | EMNLP | Do LLMs Know to Respect Copyright Notice? | Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang |
| 2024 | EMNLP | ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency. | Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu, Dimitris Stripelis, Yide Ran, Zhaozhuo Xu, Salman Avestimehr, Chaoyang He |
| 2024 | EMNLP | KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. | Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu |
| 2024 | ICML | Knowledge Graphs Can be Learned with Just Intersection Features. | Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu |
| 2024 | ICML | KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. | Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu |
| 2024 | ICML | TVE: Learning Meta-attribution for Transferable Vision Explainer. | Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu |
| 2024 | ICML | Soft Prompt Recovers Compressed LLMs, Transferably. | Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava |
| 2024 | ICML | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu |
| 2023 | AISTATS | A Tale of Two Efficient Value Iteration Algorithms for Solving Linear MDPs with Large Action Space. | Zhaozhuo Xu, Zhao Song, Anshumali Shrivastava |
| 2023 | UAI | Graph Self-supervised Learning via Proximity Distribution Minimization. | Tianyi Zhang, Zhenwei Dai, Zhaozhuo Xu, Anshumali Shrivastava |
| 2022 | EMNLP | Structural Contrastive Representation Learning for Zero-shot Multi-label Text Classification. | Tianyi Zhang, Zhaozhuo Xu, Tharun Medini, Anshumali Shrivastava |
| 2022 | ICML | DRAGONN: Distributed Randomized Approximate Gradients of Neural Networks. | Zhuang Wang, Zhaozhuo Xu, Xinyu Crystal Wu, Anshumali Shrivastava, T. S. Eugene Ng |
| 2021 | ICLR | MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training. | Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan Lingjie Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher R |
| 2021 | KDD | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. | Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
| 2020 | WSDM | Fast Item Ranking under Neural Network based Measures. | Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li |
| 2019 | EMNLP | On Efficient Retrieval of Top Similarity Vectors. | Shulong Tan, Zhixin Zhou, Zhaozhuo Xu, Ping Li |
| 2019 | IGARSS | A Class Activation Mapping Guided Adversarial Training Method for Land-Use Classification and Object Detection. | Rui Yang, Xin Xu, Zhaozhuo Xu, Chujiang Ding, Fangling Pu |