Chen, Jian

37 publications

ICCV 2025 Backdoor Defense via Enhanced Splitting and Trap Isolation Hongrui Yu, Lu Qi, Wanyu Lin, Jian Chen, Hailong Sun, Chengbin Sun

IJCAI 2025 DERI: Cross-Modal ECG Representation Learning with Deep ECG-Report Interaction Jian Chen, Xiaoru Dong, Wei Wang, Shaorui Zhou, Lequan Yu, Xiping Hu

ICML 2025 DexScale: Automating Data Scaling for Sim2Real Generalizable Robot Control Guiliang Liu, Yueci Deng, Runyi Zhao, Huayi Zhou, Jian Chen, Jietao Chen, Ruiyan Xu, Yunxin Tai, Kui Jia

IJCAI 2025 ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers Xiaoyan Yuan, Wei Wang, Han Liu, Jian Chen, Xiping Hu

AAAI 2025 FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization Zhiyong Ma, Zhengping Li, Yuanjie Shi, Jian Chen

UAI 2025 Federated Rényi Fair Inference in Federated Heterogeneous System Zhiyong Ma, Yuanjie Shi, Yan Yan, Jian Chen

ICLR 2025 Gap Preserving Distillation by Building Bidirectional Mappings with a Dynamic Teacher Yong Guo, Shulian Zhang, Haolin Pan, Jing Liu, Yulun Zhang, Jian Chen

AAAI 2025 Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu

ICML 2025 Learning with Selectively Labeled Data from Multiple Decision-Makers Jian Chen, Zhehao Li, Xiaojie Mao

ICLR 2025 MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding Ranajoy Sadhukhan, Jian Chen, Zhuoming Chen, Vashisth Tiwari, Ruihang Lai, Jinyuan Shi, Ian En-Hsu Yen, Avner May, Tianqi Chen, Beidi Chen

ICCV 2025 Multimodal LLMs as Customized Reward Models for Text-to-Image Generation Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen

ICML 2025 Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Models Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu

AAAI 2025 Restabilizing Diffusion Models with Predictive Noise Fusion Strategy for Image Super-Resolution Luoqian Jiang, Yong Guo, Bingna Xu, Haolin Pan, Jiezhang Cao, Wenbo Li, Jian Chen

AAAI 2025 ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu

ICLR 2025 SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun

ICLRW 2025 TRIG-Bench: A Benchmark for Text-Rich Image Grounding Ming Li, Ruiyi Zhang, Jian Chen, Tianyi Zhou

ICLRW 2025 VisR-Bench: A Visual Retrieval Benchmark for Visually-Rich Documents Jian Chen, Ruiyi Zhang, Ming Li, Shijie Zhou, Changyou Chen

NeurIPS 2024 A Probability Contrastive Learning Framework for 3D Molecular Representation Learning Jiayu Qin, Jian Chen, Rohan Sharma, Jingchen Sun, Changyou Chen

NeurIPS 2024 BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-Based Reinforcement Learning Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

CVPR 2024 TRINS: Towards Multimodal Language Models That Can Read Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun

ICLR 2024 Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen

JAIR 2023 Decentralized Gradient-Quantization Based Matrix Factorization for Fast Privacy-Preserving Point-of-Interest Recommendation Xuebin Zhou, Zhibin Hu, Jin Huang, Jian Chen

ICCV 2023 Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen

NeurIPS 2023 FGPrompt: Fine-Grained Goal Prompting for Image-Goal Navigation Xinyu Sun, Peihao Chen, Jugang Fan, Jian Chen, Thomas Li, Mingkui Tan

NeurIPS 2023 Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen

CVPRW 2023 Pareto-Aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo, Yaofo Chen, Yin Zheng, Qi Chen, Peilin Zhao, Junzhou Huang, Jian Chen, Mingkui Tan

ICML 2020 Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

NeurIPS 2020 Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps Chaozheng Wu, Jian Chen, Qiaoyu Cao, Jianchi Zhang, Yunxin Tai, Lin Sun, Kui Jia

MLOSS 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen

IJCAI 2019 Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen

NeurIPS 2019 NAT: Neural Architecture Transformer for Accurate and Compact Architectures Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

AAAI 2018 Double Forward Propagation for Memorized Batch Normalization Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

AAAI 2018 Efficient Support Vector Machine Training Algorithm on GPUs Jiashuai Shi, Zeyi Wen, Bingsheng He, Jian Chen

AAAI 2018 Selecting Proper Multi-Class SVM Training Methods Yawen Chen, Zeyi Wen, Jian Chen, Jin Huang

MLOSS 2018 ThunderSVM: A Fast SVM Library on GPUs and CPUs Zeyi Wen, Jiashuai Shi, Qinbin Li, Bingsheng He, Jian Chen

AAAI 2017 Improving Efficiency of SVM K-Fold Cross-Validation by Alpha Seeding Zeyi Wen, Bin Li, Kotagiri Ramamohanarao, Jian Chen, Yawen Chen, Rui Zhang

CVPR 1998 Orientation Space Filtering for Multiple Orientation Line Segmentation Jian Chen, Yoshinobu Sato, Shinichi Tamura