| 2026 | AAAI | Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. | Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Chen Wang, Jiahua Dong, Wangbo Yu, Ge Zhang, Xiang Li, Ian Reid, Xiaodan Liang |
| 2026 | AAAI | Bring Your Dreams to Life: Continual Text-to-Video Customization. | Jiahua Dong, Xudong Wang, Wenqi Liang, Zongyan Han, Meng Cao, Duzhen Zhang, Hanbin Zhao, Zhi Han, Salman Khan, Fahad Shahbaz Khan |
| 2026 | AAAI | Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2026 | AAAI | Video Spatial Reasoning with Object-Centric 3D Rollout. | Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang |
| 2026 | ACL | Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering. | Zizhen Wang, Bo Feng, Zhengfeng Lai, Shiyu Li, Yang Lu, Meng Cao, Ping Huang, Xiaoming Simon Wang |
| 2026 | WWW | MultiFPT: Towards Multi-Attribute Fairness in Pre-Trained Graph Neural Networks via Prompt Tuning. | Meng Cao, Mingcai Chen, Shuangjie Li, Hualei Yu, Shuai Feng, Demin Gao |
| 2025 | AAAI | TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis. | Jiexi Liu, Meng Cao, Songcan Chen |
| 2025 | AAAI | MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. | Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang |
| 2025 | AAAI | AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation. | Yu Wang, Yunfei Liu, Fa-Ting Hong, Meng Cao, Lijian Lin, Yu Li |
| 2025 | ACL | Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs. | Ziling Cheng, Meng Cao, Marc-Antoine Rondeau, Jackie CK Cheung |
| 2025 | ACL | See the World, Discover Knowledge: A Chinese Factuality Evaluation for Large Vision Language Models. | Jihao Gu, Yingyao Wang, Pi Bu, Chen Wang, Ziming Wang, Tengtao Song, Donglai Wei, Jiale Yuan, Yingxiu Zhao, Yancheng He, Shilong Li, Jiaheng Liu, Meng Cao, Jun Song, Yingshui Tan, Xiang Li, Wenbo Su, Xiaoyong Zhu, Bo Zheng |
| 2025 | ACL | The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction. | Yihuai Hong, Meng Cao, Dian Zhou, Lei Yu, Zhijing Jin |
| 2025 | CogSci | Adaptive Spaced Retrieval Practice in Algebra I: A Classroom-Based Study. | Meng Cao, Paulo F. Carvalho |
| 2025 | CogSci | Optimizing Learning Efficiency: Balancing Spacing and Repetition Under Time Constraints. | Meng Cao, Veronica X. Yan, Faria Sana, Paulo F. Carvalho |
| 2025 | EMNLP | Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation. | Ziling Cheng, Meng Cao, Leila Pishdad, Yanshuai Cao, Jackie CK Cheung |
| 2025 | EMNLP | Where Did That Come From? Sentence-Level Error-Tolerant Attribution. | Ori Ernst, Aviv Slobodkin, Meng Cao, Sihui Wei, Jackie CK Cheung |
| 2025 | EMNLP | Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation. | Jihao Gu, Yingyao Wang, Meng Cao, Pi Bu, Jun Song, Bo Zheng, Yancheng He, Shilong Li |
| 2025 | EMNLP | MR. Judge: Multimodal Reasoner as a Judge. | Renjie Pi, Haoping Bai, Qibin Chen, Xiaoming Simon Wang, Jiulong Shan, Xiaojiang Liu, Meng Cao |
| 2025 | ICCV | ETVA: Evaluation of Text-to-Video Alignment via Fine-Grained Question Generation and Answering. | Kaisi Guan, Zhengfeng Lai, Yuchong Sun, Peng Zhang, Wei Liu, Kieran Liu, Meng Cao, Ruihua Song |
| 2025 | ICCV | $A_{0}$: An Affordance-Aware Hierarchical Model for General Robotic Manipulation. | Rongtao Xu, Jian Zhang, Minghao Guo, Youpeng Wen, Haoting Yang, Min Lin, Jianzheng Huang, Zhe Li, Kaidong Zhang, Liqiong Wang, Yuxuan Kuang, Meng Cao, Feng Zheng, Xiaodan Liang |
| 2025 | ICCV | Evagaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. | Wangbo Yu, Chaoran Feng, Jianing Li, Jiye Tang, Jiashu Yang, Zhenyu Tang, Meng Cao, Xu Jia, Yuchao Yang, Li Yuan, Yonghong Tian |
| 2025 | ICLR | Revisit Large-Scale Image-Caption Data in Pre-training Multimodal Foundation Models. | Zhengfeng Lai, Vasileios Saveris, Chen Chen, Hong-You Chen, Haotian Zhang, Bowen Zhang, Wenze Hu, Juan Lao Tebar, Zhe Gan, Peter Grasch, Meng Cao, Yinfei Yang |
| 2025 | ICLR | TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. | Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao |
| 2025 | ICML | Contrastive Localized Language-Image Pre-Training. | Hong-You Chen, Zhengfeng Lai, Haotian Zhang, Xinze Wang, Marcin Eichner, Keen You, Meng Cao, Bowen Zhang, Yinfei Yang, Zhe Gan |
| 2025 | ICONIP | SDSP: Scalable and Diverse Synthetic Pairwise Text Generation from Web Corpus Using Large Language Model. | Xiaoxu Wu, Xi Li, Wentao Wu, Aleksei Timofeev, Yinfei Yang, Meng Cao, Ping Huang, Si Liu, Jiulong Shan |
| 2025 | ITW | A General Construction of the Transfer Matrices of (k, N + t)-Sum Boxes. | Martianus Frederic Ezerman, Gaojun Luo, Jihao Fan, Meng Cao |
| 2025 | KDD | Untitled record | Jian Chen, Peilin Zhou, Yining Hua, Dading Chong, Meng Cao, Yaowei Li, Wei Chen, Bing Zhu, Junwei Liang, Zixuan Yuan |
| 2025 | NAACL | MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. | Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang |
| 2025 | WWW | When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study. | Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim |
| 2024 | AAAI | Mixup-Induced Domain Extrapolation for Domain Generalization. | Meng Cao, Songcan Chen |
| 2024 | AAAI | Exploiting Auxiliary Caption for Video Grounding. | Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou |
| 2024 | ACL | RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. | Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li |
| 2024 | ACL | Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. | Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen |
| 2024 | CVPR | Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling. | Ziwen Li, Feng Zhang, Meng Cao, Jinpu Zhang, Yuanjie Shao, Yuehuan Wang, Nong Sang |
| 2024 | ECCV | VeCLIP: Improving CLIP Training via Visual-Enriched Captions. | Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao |
| 2024 | ECCV | Uncertainty-Aware Sign Language Video Retrieval with Probability Distribution Modeling. | Xuan Wu, Hongxiang Li, Yuanjiang Luo, Xuxin Cheng, Xianwei Zhuang, Meng Cao, Keren Fu |
| 2024 | EDM | Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning. | Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang |
| 2024 | EDM | Logistic Knowledge Tracing Tutorial: Practical Educational Applications. | Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu |
| 2024 | EMNLP | Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic. | Meng Cao, Lei Shu, Lei Yu, Yun Zhu, Nevan Wichers, Yinxiao Liu, Lei Meng |
| 2024 | EMNLP | Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. | Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong |
| 2024 | HCI | Predicting Learning Performance with Large Language Models: A Study in Adult Literacy. | Liang Zhang, Jionghao Lin, Conrad Borchers, John Sabatini, John Hollander, Meng Cao, Xiangen Hu |
| 2024 | ICDE | BIM: Improving Graph Neural Networks with Balanced Influence Maximization. | Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui |
| 2024 | ICLR | Efficient ConvBN Blocks for Transfer Learning and Beyond. | Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long |
| 2024 | ICML | Successor Features for Efficient Multi-Subject Controlled Text Generation. | Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian |
| 2024 | LAK | 3DG: A Framework for Using Generative AI for Handling Sparse Learner Performance Data From Intelligent Tutoring Systems. | Liang Zhang, Jionghao Lin, Conrad Borchers, Meng Cao, Xiangen Hu |
| 2024 | MICCAI | Textual Inversion and Self-supervised Refinement for Radiology Report Generation. | Yuanjiang Luo, Hongxiang Li, Xuan Wu, Meng Cao, Xiaoshuang Huang, Zhihong Zhu, Peixi Liao, Hu Chen, Yi Zhang |
| 2024 | WACV | Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. | Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao |
| 2023 | CVPR | Iterative Proposal Refinement for Weakly-Supervised Video Grounding. | Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang |
| 2023 | DASFAA | FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. | Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang |
| 2023 | ECAI | A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. | Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang |
| 2023 | EMNLP | Responsible AI Considerations in Text Summarization Research: A Review of Current Practices. | Yu Lu Liu, Meng Cao, Su Lin Blodgett, Jackie Chi Kit Cheung, Alexandra Olteanu, Adam Trischler |
| 2023 | ICCV | G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory. | Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou |
| 2023 | ICLR | Systematic Rectification of Language Models via Dead-end Analysis. | Meng Cao, Mehdi Fatemi, Jackie C. K. Cheung, Samira Shabanian |
| 2023 | ICLR | RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. | Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi |
| 2022 | ACL | Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. | Meng Cao, Yue Dong, Jackie Chi Kit Cheung |
| 2022 | APWEB | NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. | Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang |
| 2022 | CVPR | Unsupervised Pre-training for Temporal Action Localization Tasks. | Can Zhang, Tianyu Yang, Junwu Weng, Meng Cao, Jue Wang, Yuexian Zou |
| 2022 | ECCV | LocVTP: Video-Text Pre-training for Temporal Localization. | Meng Cao, Tianyu Yang, Junwu Weng, Can Zhang, Jue Wang, Yuexian Zou |
| 2022 | EDM | A Variant of Performance Factors Analysis Model for Categorization. | Meng Cao, Philip I. Pavlik |
| 2022 | EMNLP | Learning with Rejection for Abstractive Text Summarization. | Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung |
| 2022 | ICANN | Visual Relation-Aware Unsupervised Video Captioning. | Puzhao Ji, Meng Cao, Yuexian Zou |
| 2022 | ICDM | Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. | Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern |
| 2022 | ICLR | Information Gain Propagation: a New Way to Graph Active Learning with Soft Labels. | Wentao Zhang, Yexin Wang, Zhenbang You, Meng Cao, Ping Huang, Jiulong Shan, Zhi Yang, Bin Cui |
| 2022 | IPCCC | LSEGNN: Encode Local Topology Structure in Graph Neural Networks. | Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang |
| 2022 | IGARSS | Nonlocal Low-Rank Regularization for Hyperspectral and High-Resolution Remote Sensing Image Fusion. | Meng Cao, Wenxing Bao, Kewen Qu, Xiaowu Zhang, Xuan Ma |
| 2021 | CIKM | Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. | Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang |
| 2021 | CVPR | CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning. | Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou |
| 2021 | DASFAA | DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. | Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang |
| 2021 | EMNLP | On Pursuit of Designing Multi-modal Transformer for Video Grounding. | Meng Cao, Long Chen, Mike Zheng Shou, Can Zhang, Yuexian Zou |
| 2021 | IJCAI | RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection. | Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen |
| 2021 | IJCNN | GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. | Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang |
| 2021 | ISPA | EPINE: Enhanced Proximity Information Network Embedding. | Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang |
| 2020 | EMNLP | Factual Error Correction for Abstractive Summarization Models. | Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung |
| 2020 | EMNLP | TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion. | Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung, William L. Hamilton |
| 2020 | ICASSP | All You Need is a Second Look: Towards Tighter Arbitrary Shape Text Detection. | Meng Cao, Yuexian Zou |
| 2020 | ICASSP | Weakly Labelled Audio Tagging Via Convolutional Networks with Spatial and Channel-Wise Attention. | Sixin Hong, Yuexian Zou, Wenwu Wang, Meng Cao |
| 2020 | ICASSP | Non-Local Nested Residual Attention Network for Stereo Image Super-Resolution. | Wangduo Xie, Jian Zhang, Zhisheng Lu, Meng Cao, Yong Zhao |
| 2020 | IJCNN | Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. | Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang |
| 2020 | IJCNN | A Semantic Subgraphs Based Link Prediction Method for Heterogeneous Social Networks with Graph Attention Networks. | Kai Zhu, Meng Cao |
| 2019 | EDM | Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning. | Meng Cao, Philip I. Pavlik Jr., Gavin M. Bidelman |
| 2019 | EMNLP | Referring Expression Generation Using Entity Profiles. | Meng Cao, Jackie Chi Kit Cheung |
| 2019 | ICANN | Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. | Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang |
| 2019 | ICTAI | MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks. | Kai Zhu, Meng Cao, Heng-Yang Lu |
| 2017 | EDM | An Analysis of Students' Questions in MOOCs Forums. | Meng Cao, Yun Tang, Xiangen Hu |