Lin Lee Cheong

29 papers A* 6Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Collaborative LLM Numerical Reasoning with Local Data Protection. AAAI Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2026	—	`conf`	Diffusion Language Model Inference with Monte Carlo Tree Search. EACL (Findings) Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2026	—	`conf`	Learning to Ideate for Machine Learning Engineering Agents. EACL (Volume 2: Short Papers) Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	J	`jnl`	Learning to Ideate for Machine Learning Engineering Agents. CoRR Yunxiang Zhang, Kang Zhou, Zhichao Xu, Kiran Ramnath, Yun Zhou, Sangmin Woo, Haibo Ding, Lin Lee Cheong
2026	—	`conf`	PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. EACL (Findings) Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong
2026	—	`conf`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. EACL (Findings) Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2025	A*	`conf`	A Systematic Survey of Automatic Prompt Optimization Techniques. EMNLP 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	J	`jnl`	A Systematic Survey of Automatic Prompt Optimization Techniques. CoRR 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	J	`jnl`	Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation. CoRR Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding
2025	—	`conf`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. NAACL (Short Papers) Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models. CoRR Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. IJCNLP-AACL (long papers) Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. CoRR Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Collaborative LLM Numerical Reasoning with Local Data Protection. CoRR Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2025	J	`jnl`	Diffusion Language Model Inference with Monte Carlo Tree Search. CoRR Zheng Huang, Kiran Ramnath, Yueyan Chen, Aosong Feng, Sangmin Woo, Balasubramaniam Srinivasan, Zhichao Xu, Kang Zhou, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	—	`conf`	IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs. EMNLP (Industry Track) 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	—	`conf`	KDD 2025 Workshop on Inference Optimization for Generative AI. KDD (2) Panpan Xu, Youngsuk Park, Lin Lee Cheong, Yida Wang, Yiying Zhang, George Karypis, Sherry Marcus
2025	—	`conf`	KDD 2025 Workshop on Prompt Optimization. KDD (2) Haibo Ding, Shuai Wang, Kiran Ramnath, Yi Zhang, Lin Lee Cheong
2025	J	`jnl`	PromptPrism: A Linguistically-Inspired Taxonomy for Prompts. CoRR Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Reinforcement Learning for Self-Improving Agent with Skill Library. CoRR Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. CoRR Jiazheng Li, Yawei Wang, David Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces. CoRR Guande Wu, Huan Song, Yawei Wang, Qiaojing Yan, Yijun Tian, Lin Lee Cheong, Panpan Xu
2024	A*	`conf`	The Third Workshop on Applied Machine Learning Management. KDD Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar
2023	A*	`conf`	KDD 2023 Workshop on Data Science and AI for Sports. KDD Huan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang
2023	A*	`conf`	The Second Workshop on Applied Machine Learning Management. KDD 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
2022	J	`jnl`	Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records. CoRR Lin Lee Cheong, Tesfagabir Meharizghi, Wynona Black, Yang Guang, Weilin Meng
2021	A*	`conf`	Single View Physical Distance Estimation using Human Pose. ICCV Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe
2021	J	`jnl`	Single View Physical Distance Estimation using Human Pose. CoRR Xiaohan Fei, Henry Wang, Xiangyu Zeng, Lin Lee Cheong, Meng Wang, Joseph Tighe
2013	—	`—`	Novel advancements in nanofabrication for photonic crystal applications. Lin Lee Cheong