| 2026 | AAAI | Vulnerability-Aware Robust Multimodal Adversarial Training. | Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen |
| 2026 | ACL | Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering. | Yongxue Shan, Jie Peng, Zixuan Dong, Fei Hu, Xiaodong Wang |
| 2026 | ACL | Learning Flexible Large Multimodal Models with Arbitrary Modality Combinations. | Xinyu Zhao, Kangqi Ni, Jie Peng, Ang Li, Tianlong Chen |
| 2026 | EACL | Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. | Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen |
| 2026 | SIGIR | MECI: Multi-Element Collaborative Interaction for Multimodal Entity Linking. | Jie Peng, Yongxue Shan, Yongfu Zha, Xiaodong Wang |
| 2025 | AAAI | Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. | Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu |
| 2025 | ACL | GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models. | Mufan Qiu, Xinyu Hu, Fengwei Zhan, Sukwon Yun, Jie Peng, Ruichen Zhang, Bhavya Kailkhura, Jiekun Yang, Tianlong Chen |
| 2025 | ACL | UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging. | Huaizhi Qu, Xinyu Zhao, Jie Peng, Kwonjoon Lee, Behzad Dariush, Tianlong Chen |
| 2025 | EMNLP | Glider: Global and Local Instruction-Driven Expert Router. | Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen |
| 2025 | ICIG | Lesion Localization Prior-Driven Few-Shot Learning for Branch Atheromatous Disease Diagnosis. | Kaijun Zhang, Shengde Li, Shengpei Wang, Jie Peng, Shangyi Shi, Bin Peng, Jun Ni, Huiguang He |
| 2025 | ICLR | TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. | Lu Yi, Jie Peng, Yanping Zheng, Fengran Mo, Zhewei Wei, Yuhang Ye, Yue Zixuan, Zengfeng Huang |
| 2025 | ICML | Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing. | Jie Peng, Jenna L. Ballard, Mohan Zhang, Sukwon Yun, Jiayi Xin, Qi Long, Yanyong Zhang, Tianlong Chen |
| 2025 | ICML | EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph. | Kaicheng Fu, Changde Du, Jie Peng, Kunpeng Wang, Shuangchen Zhao, Xiaoyu Chen, Huiguang He |
| 2025 | ICML | Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference. | Shuqing Luo, Pingzhi Li, Jie Peng, Yang Zhao, Yu Cao, Yu Cheng, Tianlong Chen |
| 2025 | ICML | Circumventing Backdoor Space via Weight Symmetry. | Jie Peng, Hongwei Yang, Jing Zhao, Hengji Dong, Hui He, Weizhe Zhang, Haoyu He |
| 2025 | ICML | I2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts. | Jiayi Xin, Sukwon Yun, Jie Peng, Inyoung Choi, Jenna L. Ballard, Tianlong Chen, Qi Long |
| 2025 | IROS | NaviDiffuser: Tackling Multi-Objective Robot Navigation by Weight Range Guided Diffusion Model. | Xuyang Zhang, Ziyang Feng, Quecheng Qiu, Jie Peng, Haoyu Li, Jianmin Ji |
| 2025 | ICRA | CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous Driving. | Junrui Zhang, Chenjie Wang, Jie Peng, Haoyu Li, Jianmin Ji, Yu Zhang, Yanyong Zhang |
| 2025 | KDD | TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. | Jie Peng, Zhewei Wei, Yuhang Ye |
| 2025 | MICRO | RTGS: Real-Time 3D Gaussian Splatting SLAM via Multi-Level Redundancy Reduction. | Leshu Li, Jiayin Qin, Jie Peng, Zishen Wan, Huaizhi Qu, Ye Han, Pingqing Zheng, Hongsen Zhang, Yu Cao, Tianlong Chen, Yang Katie Zhao |
| 2025 | NAACL | Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense. | Yang Ouyang, Hengrui Gu, Shuhang Lin, Wenyue Hua, Jie Peng, Bhavya Kailkhura, Meijun Gao, Tianlong Chen, Kaixiong Zhou |
| 2025 | NAACL | Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. | Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen |
| 2025 | VTC | Digital Twin Network-Driven Multi-UAV Covert Communication with Informed Jammers. | Xiang Zhao, Wencong Lu, Junyi Wang, Jie Peng |
| 2024 | AISTATS | Enhancing Distributional Stability among Sub-populations. | Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui |
| 2024 | CIKM | Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. | Jie Peng, Runlin Lei, Zhewei Wei |
| 2024 | ECCV | Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network. | Sukwon Yun, Jie Peng, Alexandro E. Trevino, Chanyoung Park, Tianlong Chen |
| 2024 | IJCAI | Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks. | Jie Peng, Weiyu Li, Qing Ling |
| 2024 | ICRA | PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning. | Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji |
| 2024 | INFOCOM | Performance Analysis for STAR-RIS-assisted-UAV-empowered Networks under Nakagami-m Fading. | Yuxi Wang, Yaxuan Liu, Yiyang Ni, Demin Kong, Jie Peng, Yueze Lian |
| 2024 | IROS | LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance. | Wenhao Yu, Jie Peng, Huanyu Yang, Junrui Zhang, Yifan Duan, Jianmin Ji, Yanyong Zhang |
| 2023 | ASPLOS | TLP: A Deep Learning-Based Cost Model for Tensor Program Tuning. | Yi Zhai, Yu Zhang, Shuo Liu, Xiaomeng Chu, Jie Peng, Jianmin Ji, Yanyong Zhang |
| 2023 | IROS | Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model. | Yu'an Chen, Ruosong Ye, Ziyang Tao, Hongjian Liu, Guangda Chen, Jie Peng, Jun Ma, Yu Zhang, Jianmin Ji, Yanyong Zhang |
| 2023 | KR | A²CoST: An ASP-based Avoidable Collision Scenario Testbench for Autonomous Vehicles. | Ruolin Wang, Yuejiao Xu, Jie Peng, Jianmin Ji |
| 2023 | WWW | Offline Policy Evaluation in Large Action Spaces via Outcome-Oriented Action Grouping. | Jie Peng, Hao Zou, Jiashuo Liu, Shaoming Li, Yibao Jiang, Jian Pei, Peng Cui |
| 2022 | ECCV | NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. | Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui |
| 2022 | ICASSP | Variance Reduction-Boosted Byzantine Robustness in Decentralized Stochastic Optimization. | Jie Peng, Weiyu Li, Qing Ling |
| 2022 | IROS | PFilter: Building Persistent Maps through Feature Filtering for Fast and Accurate LiDAR-based SLAM. | Yifan Duan, Jie Peng, Yu Zhang, Jianmin Ji, Yanyong Zhang |
| 2021 | ICRA | Towards an Online RRT-based Path Planning Algorithm for Ackermann-steering Vehicles. | Jie Peng, Yu'an Chen, Yifan Duan, Yu Zhang, Jianmin Ji, Yanyong Zhang |
| 2020 | ICASSP | Byzantine-Robust Decentralized Stochastic Optimization. | Jie Peng, Qing Ling |
| 2020 | IGARSS | Applications of Quality Control Procedures for Temperature and Humidity Profiles Retrieved from Ground-Based Microwave Radiometer. | Xinshu Fu, Yabin Gou, Xiaofeng Wang, Jie Peng |
| 2019 | IGARSS | Preliminary Applicability Analysis of Soil Dielectric Constant Model of the Different Soil Texture Condition. | Yayong Sun, Jianwei Ma, Jie Peng, Shifeng Huang, Kun Yang, Peng Zhu, He Zhu |
| 2015 | ICMLA | Achievements Recommendation Framework Based on Scientific Collaboration Network. | Xiaohui Li, Jie Peng, Shanqing Li |
| 2010 | ECIR | Learning to Select a Ranking Function. | Jie Peng, Craig Macdonald, Iadh Ounis |
| 2010 | ECIR | Explicit Search Result Diversification through Sub-queries. | Rodrygo L. T. Santos, Jie Peng, Craig Macdonald, Iadh Ounis |
| 2009 | CIKM | A study of selective collection enrichment for enterprise search. | Jie Peng, Craig Macdonald, Ben He, Iadh Ounis |
| 2009 | ECIR | Selective Application of Query-Independent Features in Web Information Retrieval. | Jie Peng, Iadh Ounis |
| 2009 | ICTIR | Predicting the Usefulness of Collection Enrichment for Enterprise Search. | Jie Peng, Ben He, Iadh Ounis |
| 2009 | SIGIR | Fitting score distribution for blog opinion retrieval. | Ben He, Jie Peng, Iadh Ounis |
| 2008 | SIGIR | Automatic document prior feature selection for web retrieval. | Jie Peng, Craig Macdonald, Iadh Ounis |
| 2007 | ECIR | Combination of Document Priors in Web Information Retrieval. | Jie Peng, Iadh Ounis |
| 2007 | SIGIR | Incorporating term dependency in the dfr framework. | Jie Peng, Craig Macdonald, Ben He, Vassilis Plachouras, Iadh Ounis |