Lin, Jiacheng

8 publications

TMLR 2026 DiffKGW: Stealthy and Robust Diffusion Model Watermarking Tianxin Wei, Ruizhong Qiu, Yifan Chen, Yunzhe Qi, Jiacheng Lin, Wenxuan Bao, Wenju Xu, Sreyashi Nag, Ruirui Li, Hanqing Lu, Zhengyang Wang, Chen Luo, Hui Liu, Suhang Wang, Jingrui He, Qi He, Xianfeng Tang

ICLR 2026 SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li

ICLR 2026 Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning Yimeng Zhang, Tian Wang, Jiri Gesi, Ziyi Wang, Yuxuan Lu, Jiacheng Lin, Simon Sinong Zhan, Vianne R. Gao, Ruochen Jiao, Junze Liu, Kun Qian, Yuxin Tang, Ran Xue, Houyu Zhang, Qingjun Cui, Yufan Guo, Dakuo Wang

TMLR 2025 Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning Jiacheng Lin, Tian Wang, Kun Qian

AAAI 2025 SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning Xu Zhang, Jin Yuan, Hanwang Zhang, Guojin Zhong, Yongsheng Zang, Jiacheng Lin, Zhiyong Li

ICLR 2024 CAMBranch: Contrastive Learning with Augmented MILPs for Branching Jiacheng Lin, Meng Xu, Zhihua Xiong, Huangang Wang

IJCAI 2024 CF-Deformable DETR: An End-to-End Alignment-Free Model for Weakly Aligned Visible-Infrared Object Detection Haolong Fu, Jin Yuan, Guojin Zhong, Xuan He, Jiacheng Lin, Zhiyong Li

NeurIPS 2024 Cascade Speculative Drafting for Even Faster LLM Inference Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang