Lin Lee Cheong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Collaborative LLM Numerical Reasoning with Local Data Protection. | Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang |
| 2026 | ACL | Reinforcement Learning for Self-Improving Agent with Skill Library. | Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong |
| 2026 | EACL | Diffusion Language Model Inference with Monte Carlo Tree Search. | Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong |
| 2026 | EACL | PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. | Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong |
| 2026 | EACL | SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. | Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong |
| 2026 | EACL | Learning to Ideate for Machine Learning Engineering Agents. | Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong |
| 2025 | EMNLP | IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. | Aosong Feng, Balasubramaniam Srinivasan, Yun Zhou, Zhichao Xu, Kang Zhou, Sheng Guan, Yueyan Chen, Xian Wu, Ninad Kulkarni, Yi Zhang, Zhengyuan Shen, Dmitriy Bespalov, Soumya Smruti Mishra, Yifei Teng, Darren Yow-Bang Wang, Haibo Ding, Lin Lee Cheong |
| 2025 | EMNLP | A Systematic Survey of Automatic Prompt Optimization Techniques. | Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong |
| 2025 | IJCNLP | CSPLADE: Learned Sparse Retrieval with Causal Language Models. | Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong |
| 2025 | KDD | KDD 2025 Workshop on Prompt Optimization. | Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong |
| 2025 | KDD | KDD 2025 Workshop on Inference Optimization for Generative AI. | Panpan Xu, Youngsuk Park, Lin Lee Cheong, Yida Wang, Yiying Zhang, George Karypis, Sherry Marcus |
| 2025 | NAACL | Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. | Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong |
| 2024 | KDD | The Third Workshop on Applied Machine Learning Management. | Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar |
| 2023 | KDD | The Second Workshop on Applied Machine Learning Management. | Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar |
| 2023 | KDD | KDD 2023 Workshop on Data Science and AI for Sports. | Huan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang |
| 2021 | ICCV | Single View Physical Distance Estimation using Human Pose. | Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe |