Zhang, Yiming

34 publications

IJCAI 2025 AccCtr: Accelerating Training-Free Conditional Control for Diffusion Models Longquan Dai, He Wang, Yiming Zhang, Shaomeng Wang, Jinhui Tang

AISTATS 2025 AxlePro: Momentum-Accelerated Batched Training of Kernel Machines Yiming Zhang, Parthe Pandit

ICLR 2025 Backtracking Improves Generation Safety Yiming Zhang, Jianfeng Chi, Hailey Nguyen, Kartikeya Upasani, Daniel M. Bikel, Jason E Weston, Eric Michael Smith

ICCV 2025 Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zenghui Ding, Xianjun Yang, Yining Sun

AAAI 2025 Cognitive Bias and Reassignment: Who Can Contribute High Quality LLM Data Yunfan Gao, Yun Xiong, Zhongyuan Hu, Yiming Zhang, Meng Wang, Haofen Wang

ICLR 2025 Duoduo CLIP: Efficient 3D Understanding with Multi-View Images Han-Hung Lee, Yiming Zhang, Angel X Chang

ICLR 2025 Human-Aligned Chess with a Bit of Search Yiming Zhang, Athul Paul Jacob, Vivian Lai, Daniel Fried, Daphne Ippolito

NeurIPS 2025 InfiFPO: Implicit Model Fusion via Preference Optimization in Large Language Models Yanggan Gu, Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Fei Wu, Hongxia Yang

NeurIPS 2025 InfiGFusion: Graph-on-Logits Distillation via Efficient Gromov-Wasserstein for Model Fusion Yuanyi Wang, Zhaoyi Yan, Yiming Zhang, Qi Zhou, Yanggan Gu, Fei Wu, Hongxia Yang

NeurIPS 2025 Multi-Scale Finetuning for Encoder-Based Time Series Foundation Models Zhongzheng Qiao, Chenghao Liu, Yiming Zhang, Ming Jin, Quang Pham, Qingsong Wen, Ponnuthurai Nagaratnam Suganthan, Xudong Jiang, Savitha Ramasamy

ICLR 2025 Persistent Pre-Training Poisoning of LLMs Yiming Zhang, Javier Rando, Ivan Evtimov, Jianfeng Chi, Eric Michael Smith, Nicholas Carlini, Florian Tramèr, Daphne Ippolito

ICCV 2025 RANKCLIP: Ranking-Consistent Language-Image Pretraining Yiming Zhang, Zhuokai Zhao, Zhaorun Chen, Zhili Feng, Zenghui Ding, Yining Sun

ICCV 2025 STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding? Yun Li, Yiming Zhang, Tao Lin, Xiangrui Liu, Wenxiao Cai, Zheng Liu, Bo Zhao

NeurIPS 2025 Table as a Modality for Large Language Models Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao

NeurIPS 2025 Towards Large-Scale In-Context Reinforcement Learning by Meta-Training in Randomized Worlds Fan Wang, Pengtao Shao, Yiming Zhang, Bo Yu, Shaoshan Liu, Ning Ding, Yang Cao, Yu Kang, Haifeng Wang

ICCV 2025 VLIPP: Towards Physically Plausible Video Generation with Vision and Language Informed Physical Prior Xindi Yang, Baolu Li, Yiming Zhang, Zhenfei Yin, Lei Bai, Liqian Ma, Zhiyong Wang, Jianfei Cai, Tien-Tsin Wong, Huchuan Lu, Xu Jia

ECCVW 2024 A Computer Vision System for Automatic Edge Detection of Magnetic Grain Profile Zhe Liu, Ying Weng, Yiming Zhang

CVPR 2024 PIA: Your Personalized Image Animator via Plug-and-Play Modules in Text-to-Image Models Yiming Zhang, Zhening Xing, Yanhong Zeng, Youqing Fang, Kai Chen

WACV 2024 Self-Sampling Meta SAM: Enhancing Few-Shot Medical Image Segmentation with Meta-Learning Tianang Leng, Yiming Zhang, Kun Han, Xiaohui Xie

WACV 2024 TriCoLo: Trimodal Contrastive Loss for Text to Shape Retrieval Yue Ruan, Han-Hung Lee, Yiming Zhang, Ke Zhang, Angel X. Chang

NeurIPS 2023 Emergent Communication in Interactive Sketch Question Answering Zixing Lei, Yiming Zhang, Yuxin Xiong, Siheng Chen

ICCV 2023 Multi3DRefer: Grounding Text Description to Multiple 3D Objects Yiming Zhang, ZeMing Gong, Angel X. Chang

NeurIPSW 2022 Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Keith W. Ross

NeurIPS 2022 Co-Modality Graph Contrastive Learning for Imbalanced Node Classification Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang

NeurIPS 2022 MultiScan: Scalable RGBD Scanning for 3D Environments with Articulated Objects Yongsen Mao, Yiming Zhang, Hanxiao Jiang, Angel Chang, Manolis Savva

ACML 2022 Temporal Aware Multi-Interest Graph Neural Network for Session-Based Recommendation Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei

IJCAI 2021 Adapting Meta Knowledge with Heterogeneous Information Network for COVID-19 Themed Malicious Repository Detection Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang

NeurIPS 2021 Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media Yiyue Qian, Yiming Zhang, Yanfang (Fa Ye, Chuxu Zhang

ICML 2021 On-Policy Deep Reinforcement Learning for the Average-Reward Criterion Yiming Zhang, Keith W Ross

IJCAI 2020 Argot: Generating Adversarial Readable Chinese Texts Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun

NeurIPS 2020 First Order Constrained Optimization in Policy Space Yiming Zhang, Quan Vuong, Keith Ross

ICLR 2019 Supervised Policy Update for Deep Reinforcement Learning Quan Vuong, Yiming Zhang, Keith W. Ross

IJCAI 2019 iDev: Enhancing Social Coding Security by Cross-Platform User Identification Between GitHub and Stack Overflow Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu

IJCAI 2018 Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-Graph Based Similarities over Heterogeneous Information Network Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li