| 2026 | AAAI | Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models. | Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong |
| 2026 | ACL | Anchoring the Cache: Mitigating Contextual Hallucination in KV-Compressed Long-Context Summarization. | Yu Fu, Chen Luo, Josef Valvoda, Xin Zhang, Xuejing Lei, Xiao Pan, Hui Liu, Yue Dong |
| 2026 | NDSS | What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs. | Xingyu Li, Juefei Pu, Yifan Wu, Xiaochen Zou, Shitong Zhu, Qiushi Wu, Zheng Zhang, Joshua Hsu, Yue Dong, Zhiyun Qian, Kangjie Lu, Trent Jaeger, Michael J. De Lucia, Srikanth V. Krishnamurthy |
| 2026 | WSDM | A Real-Time System to Populate FRA Form 57 from News. | Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis |
| 2026 | SECON | An Air-Sea Collaborative Computing Method for Open-Sea USVs based on UAV-Assisted Communications and USV Clusters. | Yue Dong, Guiyuan Yuan, Ran Yi, Yueqian Song, Hua Duan, Qingtian Zeng |
| 2025 | EMNLP | HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models. | Trishna Chakraborty, Udita Ghosh, Xiaopan Zhang, Fahim Faisal Niloy, Yue Dong, Jiachen Li, Amit Roy-Chowdhury, Chengyu Song |
| 2025 | EMNLP | ExpertGenQA: Open-ended QA generation in Specialized Domains. | Haz Sameen Shahgir, Chansong Lim, Jia Chen, Evangelos E. Papalexakis, Yue Dong |
| 2025 | EMNLP | Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment. | Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam, Yue Dong, Ihsen Alouani, Nael B. Abu-Ghazaleh |
| 2025 | ICLR | Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning. | Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao |
| 2025 | ICML | Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models. | Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury |
| 2025 | ICRA | LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner. | Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, Jiachen Li |
| 2025 | PAKDD | TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. | Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis |
| 2025 | RecSys | Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers. | Yue Dong, Han Li, Shen Li, Nikhil Patel, Xing Liu, Xiaodong Wang, Chuanhao Zhuge |
| 2025 | SIGGRAPH | RenderFormer: Transformer-based Neural Rendering of Triangle Meshes with Global Illumination. | Chong Zeng, Yue Dong, Pieter Peers, Hongzhi Wu, Xin Tong |
| 2024 | AAAI | Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. | Yu Fu, Deyi Xiong, Yue Dong |
| 2024 | ACL | Vulnerabilities of Large Language Models to Adversarial Attacks. | Yu Fu, Erfan Shayegan, Md Abdullah Al Mamun, Pedram Zaree, Nael B. Abu-Ghazaleh, Yue Dong |
| 2024 | ACL | Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack. | Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong |
| 2024 | ACL | PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. | Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis |
| 2024 | ACL | EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. | Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis |
| 2024 | ACL | Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks. | Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong |
| 2024 | ACL | Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. | Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong |
| 2024 | CIKM | How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. | Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie |
| 2024 | EMNLP | Can Textual Unlearning Solve Cross-Modality Safety Alignment? | Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song |
| 2024 | EMNLP | Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation. | G. M. Shahariar, Jia Chen, Jiachen Li, Yue Dong |
| 2024 | EMNLP | Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. | Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong |
| 2024 | ICLR | Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models. | Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh |
| 2024 | NSDI | QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models. | Kiran Kumar Matam, Hani Ramezani, Fan Wang, Zeliang Chen, Yue Dong, Maomao Ding, Zhiwei Zhao, Zhengyu Zhang, Ellie Wen, Assaf Eisenman |
| 2024 | SIGGRAPH | DiLightNet: Fine-grained Lighting Control for Diffusion-based Image Generation. | Chong Zeng, Yue Dong, Pieter Peers, Youkang Kong, Hongzhi Wu, Xin Tong |
| 2024 | WSC | A Hybrid Simulation Approach for Modeling Critical Care Delivery in ICU. | Xiang Zhong, Siddharth Vipankumar Abrol Neena, Grace Yao Hou, Yue Dong, Amos Lal, Ognjen Gajic |
| 2023 | EMNLP | Inverse Reinforcement Learning for Text Summarization. | Yu Fu, Deyi Xiong, Yue Dong |
| 2023 | KDD | Fast Text Generation with Text-Editing Models. | Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Admek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn |
| 2023 | SIGGRAPH | Relighting Neural Radiance Fields with Shadow and Highlight Hints. | Chong Zeng, Guojun Chen, Yue Dong, Pieter Peers, Hongzhi Wu, Xin Tong |
| 2022 | ACL | Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. | Meng Cao, Yue Dong, Jackie Chi Kit Cheung |
| 2022 | EMNLP | Learning with Rejection for Abstractive Text Summarization. | Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung |
| 2022 | EMNLP | Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. | Yue Dong, John Wieting, Pat Verga |
| 2021 | ACL | On-the-Fly Attention Modulation for Neural Generation. | Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi |
| 2021 | ACL | Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. | Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He |
| 2021 | BMVC | Learning Texture Generators for 3D Shape Collections from Internet Photo Sets. | Rui Yu, Yue Dong, Pieter Peers, Xin Tong |
| 2021 | EACL | Discourse-Aware Unsupervised Summarization for Long Scientific Documents. | Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung |
| 2021 | ICLR | Large Scale Image Completion via Co-Modulated Generative Adversarial Networks. | Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric I-Chao Chang, Yan Xu |
| 2020 | AMIA | The Role of the Electronic Medical Record in Diagnostic Error and Delay: A Qualitative Study of Acute Care Clinician Insights. | Amelia K. Barwise, Aaron Leppin, Yue Dong, Ognjen Gajic, Brian W. Pickering, Ashok Kumbamu |
| 2020 | CEC | Dual Inheritance Evolution Strategy for Deep Neural Network Optimization. | Kent Hino, Yusuke Kimura, Yue Dong, Takahiro Shinozaki |
| 2020 | CGI | Deep Inverse Rendering for Practical Object Appearance Scan with Uncalibrated Illumination. | Jianzhao Zhang, Guojun Chen, Yue Dong, Jian Shi, Bob Zhang, Enhua Wu |
| 2020 | CVPR | TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning. | Joo Ho Lee, Hyunho Ha, Yue Dong, Xin Tong, Min H. Kim |
| 2020 | CVPR | MaskFlownet: Asymmetric Feature Matching With Learnable Occlusion Mask. | Shengyu Zhao, Yilun Sheng, Yue Dong, Eric I-Chao Chang, Yan Xu |
| 2020 | ECCV | Object-Based Illumination Estimation with Rendering-Aware Neural Networks. | Xin Wei, Guojun Chen, Yue Dong, Stephen Lin, Xin Tong |
| 2020 | EMNLP | Factual Error Correction for Abstractive Summarization Models. | Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung |
| 2020 | EMNLP | Multi-Fact Correction in Abstractive Text Summarization. | Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu |
| 2020 | EMNLP | Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. | Yao Lu, Yue Dong, Laurent Charlin |
| 2020 | Interspeech | Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning. | Wenxin Hou, Yue Dong, Bairong Zhuang, Longfei Yang, Jiatong Shi, Takahiro Shinozaki |
| 2019 | AAAI | Learning Multi-Task Communication with Message Passing for Sequence Learning. | Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung |
| 2019 | ACL | EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. | Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung |
| 2019 | CGI | Capturing Piecewise SVBRDFs with Content Aware Lighting. | Xiao Li, Peiran Ren, Yue Dong, Gang Hua, Xin Tong, Baining Guo |
| 2019 | CVPR | Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks. | Xiao Li, Yue Dong, Pieter Peers, Xin Tong |
| 2019 | EMNLP | Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. | Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis |
| 2019 | ICCV | Recursive Cascaded Networks for Unsupervised Medical Image Registration. | Shengyu Zhao, Yue Dong, Eric I-Chao Chang, Yan Xu |
| 2018 | EMNLP | BanditSum: Extractive Summarization as a Contextual Bandit. | Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung |
| 2018 | EMNLP | A Hierarchical Neural Attention-based Text Classifier. | Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths |
| 2018 | ICCCN | New Reliable Self-Adaptive Routing Protocol for Vehicular Ad Hoc Network. | Degan Zhang, Yue Dong, Jie Zhang, Ting Zhang |
| 2017 | CVPR | Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories. | Jian Shi, Yue Dong, Hao Su, Stella X. Yu |
| 2017 | VTC | Channel Estimation Using Low-Resolution PSs for Wideband mmWave Systems. | Yue Dong, Chen Chen, Na Yi, Guocheng Lu, Ye Jin |
| 2016 | AI | Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. | Yue Dong, Nathalie Japkowicz |
| 2016 | WCNC | Performance analysis for cross-tier cooperation in heterogeneous cellular networks: A stochastic geometry approach. | Junxu Zhao, Qiang Wang, Yue Dong, Wei Wei |
| 2016 | UAI | Subspace Clustering with a Twist. | David P. Wipf, Yue Dong, Bo Xin |
| 2015 | ICNC | The reservoir parameter calculation method using the nuclear magnetic resonance log data. | Gang Cao, Jiagen Hou, Jingyun Zou, Yue Dong, Zhaohui Xu, Xiaoqiang Ma, Suihong Song, Wenze Yang |
| 2015 | ICNC | A back propagation artificial neural network application in lithofacies identification. | Yue Dong, Jiagen Hou, Yuming Liu, Ye Wang, Jing Zhao, Yanqing Shi, Jingyun Zou |
| 2015 | VRST | Efficient intrinsic image decomposition for RGBD images. | Jian Shi, Yue Dong, Xin Tong, Yanyun Chen |