Ma, Chen

30 publications

ICLR 2025 Boosting Ray Search Procedure of Hard-Label Attacks with Transfer-Based Priors Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan

ICLR 2025 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks Bowei He, Lihao Yin, Huiling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma

ECML-PKDD 2025 Counterfactual Multi-Player Bandits for Explainable Recommendation Diversification Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma

ICCV 2025 DOGR: Towards Versatile Visual Document Grounding and Referring Yinan Zhou, Yuxin Chen, Haokun Lin, Yichen Wu, Shuyu Yang, Zhongang Qi, Chen Ma, Li Zhu

AAAI 2025 DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du

ICLR 2025 Decision Information Meets Large Language Models: The Future of Explainable Operations Research Yansen Zhang, Qingcan Kang, Wing Yin Yu, HaileiGong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma

CVPRW 2025 Defurnishing with X-Ray Vision: Joint Removal of Furniture from Panoramas and Mesh Alan Dolhasz, Chen Ma, Dave Gausebeck, Kevin Chen, Gregor Miller, Lucas Hayne, Gunnar Hovden, Azwad Sabik, Olaf Brandt, Mira Slavcheva

IJCAI 2025 EVICheck: Evidence-Driven Independent Reasoning and Combined Verification Method for Fact-Checking Lingxiao Wang, Lei Shi, Feifei Kou, Ligu Zhu, Chen Ma, Pengfei Zhang, Mingying Xu, Zeyu Li

AAAI 2025 GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation Shengyin Sun, Wenhao Yu, Yuxiang Ren, Weitao Du, Liwei Liu, Xuecang Zhang, Ying Hu, Chen Ma

ICML 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He

NeurIPS 2025 Preserving LLM Capabilities Through Calibration Data Curation: From Analysis to Optimization Bowei He, Lihao Yin, Huiling Zhen, Shuqi Liu, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

ICLR 2025 RevisEval: Improving LLM-as-a-Judge via Response-Adapted References Qiyuan Zhang, Yufei Wang, Tiezheng Yu, Yuxin Jiang, Chuhan Wu, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma

ICCV 2025 Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights Junhao Zheng, Jiahao Sun, Chenhao Lin, Zhengyu Zhao, Chen Ma, Chong Zhang, Cong Wang, Qian Wang, Chao Shen

NeurIPS 2025 Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma

CVPRW 2024 An Empty Room Is All We Want: Automatic Defurnishing of Indoor Panoramas Mira Slavcheva, Dave Gausebeck, Kevin Chen, David Buchhofer, Azwad Sabik, Chen Ma, Sachal Dhillon, Olaf Brandt, Alan Dolhasz

ECML-PKDD 2024 Hyperbolic Contrastive Learning with Model-Augmentation for Knowledge-Aware Recommendation Shengyin Sun, Chen Ma

ICLR 2024 Less or More from Teacher: Exploiting Trilateral Geometry for Knowledge Distillation Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu

NeurIPSW 2024 SAM-MPA: Applying SAM to Few-Shot Medical Image Segmentation Using Mask Propagation and Auto-Prompting Jie Xu, LiXiaokang, Chengyuyue, Chen Ma, Yi Guo, Yuanyuan Wang

AAAI 2024 SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen

WACV 2023 Hyperspherical Quantization: Toward Smaller and More Accurate Models Dan Liu, Xi Chen, Chen Ma, Xue Liu

UAI 2023 MMEL: A Joint Learning Framework for Multi-Mention Entity Linking Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma

NeurIPS 2023 Offline Imitation Learning with Variational Counterfactual Reasoning Zexu Sun, Bowei He, Jinxin Liu, Xu Chen, Chen Ma, Shuai Zhang

AAAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

NeurIPS 2023 Towards Hybrid-Grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

WACV 2021 ATM: Attentional Text Matting Peng Kang, Jianping Zhang, Chen Ma, Guiling Sun

NeurIPS 2021 Finding Optimal Tangent Points for Reducing Distortions of Hard-Label Attacks Chen Ma, Xiangyu Guo, Li Chen, Jun-Hai Yong, Yisen Wang

AAAI 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

CVPR 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks Chen Ma, Li Chen, Jun-Hai Yong

IJCAI 2020 Feature Statistics Guided Efficient Filter Pruning Hang Li, Chen Ma, Wei Xu, Xue Liu

AAAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates