PMTED: a plant microRNA target expression database. - Xiuli Sun; Boquan Dong; Lingjie Yin; Rongzhi Zhang; Wei Du 002; Dongfeng Liu; Nan Shi; Aili Li; Yanchun Liang 001; Long Mao (BMC Bioinform., 2013)

Collaborative Sequence Prediction for Sequential Recommender. - Shuzi Niu; Rongzhi Zhang (CIKM, 2017)

Improving Multi-turn Dialogue Modelling with Utterance ReWriter. - Hui Su; Xiaoyu Shen 001; Rongzhi Zhang; Fei Sun 001; Pengwei Hu 001; Cheng Niu; Jie Zhou 016 (ACL (1), 2019)

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. - Rongzhi Zhang; Yue Yu 001; Chao Zhang 014 (EMNLP (1), 2020)

Robust Sequence Embedding for Recommendation. - Rongzhi Zhang; Shuzi Niu; Yucheng Li 002 (KSEM (2), 2020)

Knowledge-enhanced Session-based Recommendation with Temporal Transformer. - Rongzhi Zhang; Yulong Gu; Xiaoyu Shen 001; Hui Su (CoRR, 2021)

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (CoRR, 2021)

Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph. - Yifei Zhao; Mingdong Ou; Rongzhi Zhang; Meng Li (CoRR, 2021)

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (ACL (1), 2022)

Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. - Rongzhi Zhang; Rebecca West; Xiquan Cui; Chao Zhang 014 (KDD, 2022)

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (NAACL-HLT, 2022)

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (CoRR, 2022)

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (CoRR, 2022)

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (ACL (1), 2023)

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. - Yue Yu 001; Yuchen Zhuang; Rongzhi Zhang; Yu Meng 001; Jiaming Shen; Chao Zhang 014 (ACL (Findings), 2023)

Local Boosting for Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Jiaming Shen; Xiquan Cui; Chao Zhang 014 (KDD, 2023)

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (CoRR, 2023)

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. - Yuzhao Heng; Chunyuan Deng; Yitong Li; Yue Yu 001; Yinghao Li; Rongzhi Zhang; Chao Zhang 014 (ACL (Findings), 2024)

PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Haorui Wang; Zhen Qin 001; Feng Han; Jialu Liu; Simon Baumgartner; Michael Bendersky; Chao Zhang 014 (ACL (Findings), 2024)

Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. - Rongzhi Zhang; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Michael Bendersky; Marc Najork; Chao Zhang 014 (KDD, 2024)

Aligning Large Language Models with Representation Editing: A Control Perspective. - Lingkai Kong; Haorui Wang; Wenhao Mu; Yuanqi Du; Yuchen Zhuang; Yifei Zhou; Yue Song; Rongzhi Zhang; Kai Wang; Chao Zhang 014 (NeurIPS, 2024)

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance. - Haorui Wang; Rongzhi Zhang; Yinghao Li; Lingkai Kong; Yuchen Zhuang; Xiusi Chen; Chao Zhang 014 (CoRR, 2024)

LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy. - Rongzhi Zhang; Kuang Wang; Liyuan Liu; Shuohang Wang; Hao Cheng; Chao Zhang; Yelong Shen (CoRR, 2024)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

MLE-Dojo: Interactive Environments for Empowering LLM Agents in Machine Learning Engineering. - Rushi Qiang; Yuchen Zhuang; Yinghao Li; Dingu Sagar V. K; Rongzhi Zhang; Changhao Li; Ian Shu-Hei Wong; Sherry Yang 001; Percy Liang; Chao Zhang 014; Bo Dai 001 (CoRR, 2025)