| 2026 | AAAI | Enhancing Interpretability for Vision Models via Shapley Value Optimization. | Kanglong Fan, Yunqiao Yang, Chen Ma |
| 2026 | AAAI | S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening. | Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma |
| 2026 | AAAI | Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks. | Xinjie Xu, Shuyu Cheng, Dongwei Xu, Qi Xuan, Chen Ma |
| 2026 | ACL | From Coarse to Fine: Self-Adaptive Hierarchical Planning for LLM Agents. | Haoran Tan, Zeyu Zhang, Chen Ma, Tianze Liu, Quanyu Dai, Xu Chen |
| 2026 | ACL | On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation. | Weichuan Wang, Mingyang Liu, Chen Ma, Linqi Song |
| 2026 | ACL | Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward Models. | Qiyuan Zhang, Yufei Wang, Tianhe Wu, Can Xu, Qingfeng Sun, Kai Zheng, Xue Liu, Chen Ma |
| 2026 | ACL | RubricBench: Aligning Model-Generated Rubrics with Human Standards. | Junyi Zhou, Qiyuan Zhang, Yufei Wang, Fuyuan Lyu, Yidong Ming, Can Xu, Qingfeng Sun, Kai Zheng, Peng Kang, Xue Liu, Chen Ma |
| 2026 | WWW | From Token to Item: Enhancing Large Language Models for Recommendation via Item-aware Attention Mechanism. | Xiaokun Zhang, Bowei He, Jiamin Chen, Ziqiang Cui, Chen Ma |
| 2026 | WSDM | Have We Really Understood Collaborative Information? An Empirical Investigation. | Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents. | Haoran Tan, Zeyu Zhang, Chen Ma, Xu Chen, Quanyu Dai, Zhenhua Dong |
| 2025 | ACL | Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge. | Qiyuan Zhang, Yufei Wang, Yuxin Jiang, Liangyou Li, Chuhan Wu, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, Fuyuan Lyu, Chen Ma |
| 2025 | CCS | ControlLoc: Physical-World Hijacking Attack on Camera-based Perception in Autonomous Driving. | Chen Ma, Ningfei Wang, Zhengyu Zhao, Qian Wang, Qi Alfred Chen, Chao Shen |
| 2025 | CIKM | Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation. | Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma |
| 2025 | COLING | Incorporating Review-missing Interactions for Generative Explainable Recommendation. | Xi Li, Xiaohe Bo, Chen Ma, Xu Chen |
| 2025 | CVPR | 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 |
| 2025 | DASFAA | Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs. | Shengyin Sun, Yuxiang Ren, Jiehao Chen, Chen Ma |
| 2025 | EMNLP | NILE: Internal Consistency Alignment in Large Language Models. | Minda Hu, Qiyuan Zhang, Yufei Wang, Bowei He, Hongru Wang, Jingyan Zhou, Liangyou Li, Yasheng Wang, Chen Ma, Irwin King |
| 2025 | ICCV | 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, Chao Shen, Cong Wang, Qian Wang |
| 2025 | ICCV | DOGR: Towards Versatile Visual Document Grounding and Referring. | Yinan Zhou, Yuxin Chen, Haokun Lin, Yichen Wu, Shuyu Yang, Zhongang Qi, Chen Ma, Li Zhu |
| 2025 | ICLR | Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors. | Chen Ma, Xinjie Xu, Shuyu Cheng, Qi Xuan |
| 2025 | ICLR | Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. | Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma |
| 2025 | ICLR | Decision Information Meets Large Language Models: The Future of Explainable Operations Research. | Yansen Zhang, Qingcan Kang, Wing Yin Yu, Hailei Gong, Xiaojin Fu, Xiongwei Han, Tao Zhong, Chen Ma |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | IJCAI | 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 |
| 2025 | KDD | Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing. | Zexu Sun, Qiyu Han, Minqin Zhu, Hao Gong, Dugang Liu, Chen Ma |
| 2025 | KDD | Shapley Value-driven Data Pruning for Recommender Systems. | Yansen Zhang, Xiaokun Zhang, Ziqiang Cui, Chen Ma |
| 2025 | MICCAI | Unlabeled Data-Driven Fetal Landmark Detection in Intrapartum Ultrasound. | Chen Ma, Yunshu Li, Bowen Guo, Jing Jiao, Yi Huang, Yuanyuan Wang, Yi Guo |
| 2025 | NAACL | TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. | Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen |
| 2025 | PAKDD | Active Instruction Tuning for Large Language Models with Reference-Free Instruction Selection. | Qiyuan Zhang, Jiehao Chen, Chen Ma |
| 2025 | SIGIR | Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. | Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma |
| 2025 | WSDM | Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models. | Kexin Zhang, Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Kaize Ding, Xiuqiang He, Xue Liu |
| 2025 | SDM | Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. | Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma |
| 2024 | AAAI | SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples. | Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen |
| 2024 | CIKM | Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning. | Ziqiang Cui, Haolun Wu, Bowei He, Ji Cheng, Chen Ma |
| 2024 | CIKM | Interpretable Triplet Importance for Personalized Ranking. | Bowei He, Chen Ma |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. | Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei |
| 2024 | EMNLP | Collaborative Performance Prediction for Large Language Models. | Qiyuan Zhang, Fuyuan Lyu, Xue Liu, Chen Ma |
| 2024 | ICLR | 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 |
| 2024 | KDD | Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. | Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma |
| 2024 | WWW | Causally Debiased Time-aware Recommendation. | Lei Wang, Chen Ma, Xian Wu, Zhaopeng Qiu, Yefeng Zheng, Xu Chen |
| 2024 | SDM | Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks. | Ziqiang Cui, Xing Tang, Yang Qiao, Bowei He, Liang Chen, Xiuqiang He, Chen Ma |
| 2023 | AAAI | 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 |
| 2023 | CIKM | Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System. | Bowei He, Xu He, Renrui Zhang, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | CIKM | Improving Long-Tail Item Recommendation with Graph Augmentation. | Sichun Luo, Chen Ma, Yuanzhang Xiao, Linqi Song |
| 2023 | ICASSP | Mutually Guided Few-Shot Learning For Relational Triple Extraction. | Chengmei Yang, Shuai Jiang, Bowei He, Chen Ma, Lianghua He |
| 2023 | ICDE | Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. | Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma |
| 2023 | ICDE | Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation. | Haolun Wu, Yingxue Zhang, Chen Ma, Wei Guo, Ruiming Tang, Xue Liu, Mark Coates |
| 2023 | ICDM | Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. | Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu |
| 2023 | KDD | Doctor Specific Tag Recommendation for Online Medical Record Management. | Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng |
| 2023 | WWW | Controllable Universal Fair Representation Learning. | Yue Cui, Chen Ma, Kai Zheng, Lei Chen, Xiaofang Zhou |
| 2023 | WWW | Dynamically Expandable Graph Convolution for Streaming Recommendation. | Bowei He, Xu He, Yingxue Zhang, Ruiming Tang, Chen Ma |
| 2023 | SIGIR | WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. | Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King |
| 2023 | WACV | Hyperspherical Quantization: Toward Smaller and More Accurate Models. | Dan Liu, Xi Chen, Chen Ma, Xue Liu |
| 2023 | UAI | MMEL: A Joint Learning Framework for Multi-Mention Entity Linking. | Chengmei Yang, Bowei He, Yimeng Wu, Chao Xing, Lianghua He, Chen Ma |
| 2022 | CIKM | Adapting Triplet Importance of Implicit Feedback for Personalized Recommendation. | Haolun Wu, Chen Ma, Yingxue Zhang, Xue Liu, Ruiming Tang, Mark Coates |
| 2022 | COLING | Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories. | Minyu Chen, Guoqiang Li, Chen Ma, Jingyang Li, Hongfei Fu |
| 2022 | KDD | Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation. | Yankai Chen, Huifeng Guo, Yingxue Zhang, Chen Ma, Ruiming Tang, Jingjie Li, Irwin King |
| 2022 | SIGIR | Joint Multisided Exposure Fairness for Recommendation. | Haolun Wu, Bhaskar Mitra, Chen Ma, Fernando Diaz, Xue Liu |
| 2021 | AAAI | Knowledge-Enhanced Top-K Recommendation in Poincar Ball. | Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates |
| 2021 | CVPR | Simulating Unknown Target Models for Query-Efficient Black-Box Attacks. | Chen Ma, Li Chen, Jun-Hai Yong |
| 2021 | SIGIR | TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion. | Jiapeng Wu, Yishi Xu, Yingxue Zhang, Chen Ma, Mark Coates, Jackie Chi Kit Cheung |
| 2021 | WACV | ATM: Attentional Text Matting. | Peng Kang, Jianping Zhang, Chen Ma, Guiling Sun |
| 2020 | AAAI | Memory Augmented Graph Neural Networks for Sequential Recommendation. | Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates |
| 2020 | IJCAI | Feature Statistics Guided Efficient Filter Pruning. | Hang Li, Chen Ma, Wei Xu, Xue Liu |
| 2020 | KDD | Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation. | Chen Ma, Liheng Ma, Yingxue Zhang, Ruiming Tang, Xue Liu, Mark Coates |
| 2020 | SIGIR | Neighbor Interaction Aware Graph Convolution Networks for Recommendation. | Jianing Sun, Yingxue Zhang, Wei Guo, Huifeng Guo, Ruiming Tang, Xiuqiang He, Chen Ma, Mark Coates |
| 2019 | ICDM | Multi-graph Convolution Collaborative Filtering. | Jianing Sun, Yingxue Zhang, Chen Ma, Mark Coates, Huifeng Guo, Ruiming Tang, Xiuqiang He |
| 2019 | KDD | Hierarchical Gating Networks for Sequential Recommendation. | Chen Ma, Peng Kang, Xue Liu |
| 2019 | WSDM | Gated Attentive-Autoencoder for Content-Aware Recommendation. | Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu |
| 2018 | CIKM | Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence. | Chen Ma, Yingxue Zhang, Qinglong Wang, Xue Liu |
| 2018 | ICLR | Universal Successor Representations for Transfer Reinforcement Learning. | Chen Ma, Junfeng Wen, Yoshua Bengio |
| 2017 | ICDCS | SunChase: Energy-Efficient Route Planning for Solar-Powered EVs. | Landu Jiang, Yu Hua, Chen Ma, Xue Liu |
| 2017 | INFOCOM | Taming the inconsistency of Wi-Fi fingerprints for device-free passive indoor localization. | Xi Chen, Chen Ma, Michel Allegue, Xue Liu |
| 2016 | CGI | Paint with Stitches: A Random-needle Embroidery Rendering Method. | Kewei Yang, Zhengxing Sun, Chen Ma, Wei Yang |
| 2013 | GRC | Defensive strategy of the goalkeeper based on the 3D vision and field division for the middle-size league of robocup. | Jiehao Chen, Chen Ma, Zizhen Yan, Bo Chen, Yu Shen, Yu Liang |
| 2013 | GRC | The design of touch-screen with high resolution infrared based on plastic optical fiber and image processing. | Liang Zhang, Jigao Fu, Zhubing Wang, Chen Ma, Bo Chen, Pingfan He |
| 2012 | AMIA | Dimensional Modeling at OSUWMC Information Warehouse Helped Pharmacists Track Activity and Inventory. | Jingchun Chen, Pushkaraj Koyalkar, Brian Myers, Chen Ma, Vladimir Bubelev, Selnur Erdal, Jing Ding, Jyoti Kamal |
| 2012 | ICIP | Low-rank, sparse matrix decomposition and group sparse coding for image classification. | Lihe Zhang, Chen Ma |