A Quantitative Summary of XML Structures. - Zi Lin; Bingsheng He; Byron Choi (ER, 2006)

Jack: scalable accumulator-based nymble system. - Zi Lin; Nicholas Hopper (WPES, 2010)

Efficient Private Proximity Testing with GSM Location Sketches. - Zi Lin; Denis Foo Kune; Nicholas Hopper (Financial Cryptography, 2012)

New Attacks on Timing-based Network Flow Watermarks. - Zi Lin; Nicholas Hopper (USENIX Security Symposium, 2012)

rBridge: User Reputation based Tor Bridge Distribution with Privacy Preservation. - Qiyan Wang; Zi Lin; Nikita Borisov; Nicholas Hopper (NDSS, 2013)

Semantic Role Labeling for Learner Chinese: the Importance of Syntactic Parsing and L2-L1 Parallel Data. - Zi Lin; Yuguang Duan; Yuanyuan Zhao; Weiwei Sun 007; Xiaojun Wan 001 (EMNLP, 2018)

Fabrication of Flexible Microneedle Array Electrodes for Wearable Bio-Signal Recording. - Lei Ren; Shujia Xu; Jie Gao; Zi Lin; Zhipeng Chen; Bin Liu 046; Liang Liang; Lelun Jiang (Sensors, 2018)

Implanting Rational Knowledge into Distributed Representation at Morpheme Level. - Zi Lin; Yang Liu (AAAI, 2019)

Hint-Based Training for Non-Autoregressive Machine Translation. - Zhuohan Li 001; Zi Lin; Di He 001; Fei Tian; Tao Qin 001; Liwei Wang 001; Tie-Yan Liu (EMNLP/IJCNLP (1), 2019)

Fast Structured Decoding for Sequence Models. - Zhiqing Sun; Zhuohan Li 001; Haoqing Wang; Di He 001; Zi Lin; Zhi-Hong Deng 001 (NeurIPS, 2019)

A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers. - Junjie Cao; Zi Lin; Weiwei Sun 007; Xiaojun Wan 001 (CoRR, 2019)

Pruning Redundant Mappings in Transformer Models via Spectral-Normalized Identity Prior. - Zi Lin; Jeremiah Z. Liu; Zi Yang; Nan Hua; Dan Roth 001 (EMNLP (Findings), 2020)

Frequency-Selective Learning for CT to MR Synthesis. - Zi Lin; Manli Zhong; Xiangzhu Zeng; Chuyang Ye (SASHIMI@MICCAI, 2020)

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness. - Jeremiah Z. Liu; Zi Lin; Shreyas Padhy; Dustin Tran; Tania Bedrax-Weiss; Balaji Lakshminarayanan (NeurIPS, 2020)

Large-Scale Generative Data-Free Distillation. - Liangchen Luo; Mark Sandler 002; Zi Lin; Andrey Zhmoginov; Andrew Howard 002 (CoRR, 2020)

Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic Parsing. - Junjie Cao; Zi Lin; Weiwei Sun 007; Xiaojun Wan 001 (Comput. Linguistics, 2021)

Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation. - Ian D. Kivlichan; Zi Lin; Jeremiah Z. Liu; Lucy Vasserman (CoRR, 2021)

One Cycle Attack: Fool Sensor-Based Personal Gait Authentication With Clustering. - Tiantian Zhu; Lei Fu; Qiang Liu 034; Zi Lin; Yan Chen 004; Tieming Chen (IEEE Trans. Inf. Forensics Secur., 2021)

Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty. - Zi Lin; Jeremiah Zhe Liu; Jingbo Shang (ACL (Findings), 2022)

Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification. - Zi Lin; Jeremiah Z. Liu; Jingbo Shang (EMNLP, 2022)

ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. - Zi Lin; Zihan Wang 001; Yongqi Tong; Yangkun Wang; Yuxin Guo; Yujia Wang; Jingbo Shang (EMNLP (Findings), 2023)

Retrieval-Augmented Parsing for Complex Graphs by Exploiting Structure and Uncertainty. - Zi Lin; Quan Yuan 001; Panupong Pasupat; Jeremiah Z. Liu; Jingbo Shang (EMNLP (Findings), 2023)

On Compositional Uncertainty Quantification for Seq2seq Graph Parsing. - Zi Lin; Du Phan; Panupong Pasupat; Jeremiah Zhe Liu; Jingbo Shang (ICLR, 2023)

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. - Lianmin Zheng; Wei-Lin Chiang; Ying Sheng 007; Siyuan Zhuang; Zhanghao Wu; Yonghao Zhuang 001; Zi Lin; Zhuohan Li 001; Dacheng Li; Eric P. Xing; Hao Zhang 025; Joseph E. Gonzalez; et al. (NeurIPS, 2023)

Is Argument Structure of Learner Chinese Understandable: A Corpus-Based Analysis. - Yuguang Duan; Zi Lin; Weiwei Sun (CoRR, 2023)

Critique Ability of Large Language Models. - Liangchen Luo; Zi Lin; Yinxiao Liu; Lei Shu 004; Yun Zhu; Jingbo Shang; Lei Meng 008 (CoRR, 2023)

Eliminating Reasoning via Inferring with Planning: A New Framework to Guide LLMs' Non-linear Thinking. - Yongqi Tong; Yifan Wang; Dawei Li; Sizhe Wang; Zi Lin; Simeng Han; Jingbo Shang (CoRR, 2023)

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness. - Jeremiah Zhe Liu; Shreyas Padhy; Jie Ren 006; Zi Lin; Yeming Wen; Ghassen Jerfel; Zachary Nado; Jasper Snoek; Dustin Tran; Balaji Lakshminarayanan (J. Mach. Learn. Res., 2023)

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset. - Lianmin Zheng; Wei-Lin Chiang; Ying Sheng 007; Tianle Li; Siyuan Zhuang; Zhanghao Wu; Yonghao Zhuang 001; Zhuohan Li 001; Zi Lin; Eric P. Xing; Joseph E. Gonzalez; Ion Stoica; et al. (ICLR, 2024)

Optimizing Language Model's Reasoning Abilities with Weak Supervision. - Yongqi Tong; Sizhe Wang; Dawei Li; Yifan Wang; Simeng Han; Zi Lin; Chengsong Huang; Jiaxin Huang 001; Jingbo Shang (CoRR, 2024)

Learning to Solve and Verify: A Self-Play Framework for Code and Test Generation. - Zi Lin; Sheng Shen 016; Jingbo Shang; Jason Weston; Yixin Nie (CoRR, 2025)