| 2026 | AAAI | Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization. | Qizhi Li, Xuyang Wang, Yingke Chen, Ming Yan, Dezhong Peng, Xi Peng, Xu Wang |
| 2026 | AAAI | ProFuser: Progressive Fusion of Large Language Models. | Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang, Minhua Huang, Wu Kai |
| 2026 | AAAI | Efficient and Effective In-context Demonstration Selection with Coreset. | Zihua Wang, Jiarui Wang, Haiyang Xu, Ming Yan, Fei Huang, Xu Yang, Xiu-Shen Wei, Siya Mi, Yu Zhang |
| 2026 | AAAI | Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access. | Ziyuan Yang, Ming Yan, Yi Zhang, Joey Tianyi Zhou |
| 2026 | ACL | AgentOCR: Reimagining Agent History via Optical Self-Compression. | Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An |
| 2026 | ACL | Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement Learning. | Xuanyu Lei, Chenliang Li, Yuning Wu, Kaiming Liu, Weizhou Shen, Peng Li, Ming Yan, Fei Huang, Ya-Qin Zhang, Yang Liu |
| 2026 | ACL | Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaboration. | Zijun Liu, Zhennan Wan, Peng Li, Ming Yan, Fei Huang, Yang Liu |
| 2026 | ACL | MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding. | Fuwen Luo, Shengfeng Lou, Chi Chen, Ziyue Wang, Chenliang Li, Weizhou Shen, Jiyue Guo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2026 | ACL | Experience-driven Multi-turn Reinforcement Learning for GUI Agents. | Zhengxi Lu, Jiabo Ye, Fei Tang, Yongliang Shen, Haiyang Xu, Ziwei Zheng, Weiming Lu, Ming Yan, Fei Huang, Jun Xiao, Yueting Zhuang |
| 2026 | ACL | Incentivizing In-depth Reasoning over Long Contexts with Process Advantage Shaping. | Miao Peng, Weizhou Shen, Nuo Chen, Chenliang Li, Ming Yan, Jia Li |
| 2026 | CHI | SPRITE: From Static Mockups to Engine-Ready GameUI. | Yunshu Bai, Ruihao Li, Hao Zhang, Chien Her Lim, Ming Yan, Mengtian Li |
| 2026 | IWQoS | Chariot: Accelerating Distributed Protocols with Data-Path Accelerator in DPUs. | Yukai Huang, Jingqi Feng, Chunpu Huang, Sicheng Liang, Ming Yan, Jie Wu |
| 2025 | AAAI | RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise. | Ziniu Yin, Yanglin Feng, Ming Yan, Xiaomin Song, Dezhong Peng, Xu Wang |
| 2025 | ACL | A Training-free LLM-based Approach to General Chinese Character Error Correction. | Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, Min Zhang |
| 2025 | ACL | Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. | Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2025 | ACL | mPLUG-DocOwl2: High-resolution Compressing for OCR-free Multi-page Document Understanding. | Anwen Hu, Haiyang Xu, Liang Zhang, Jiabo Ye, Ming Yan, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou |
| 2025 | ACL | Mutual-Taught for Co-adapting Policy and Reward Models. | Tianyuan Shi, Canbin Huang, Fanqi Wan, Longguang Zhong, Ziyi Yang, Weizhou Shen, Xiaojun Quan, Ming Yan |
| 2025 | CogSci | Relational reasoning as a learned bias: Evidence that generating explanations facilitates relational matching in adults. | Jiyue Yang, Qingtong Li, Ming Yan, Sophia W. Deng |
| 2025 | CVPR | AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. | Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu |
| 2025 | CVPR | SymDPO: Boosting In-Context Learning of Large Multimodal Models with Symbol Demonstration Direct Preference Optimization. | Hongrui Jia, Chaoya Jiang, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang |
| 2025 | CVPR | ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate. | Ming Yan, Xincheng Lin, Yuhua Luo, Shuqi Fan, Yudi Dai, Qixin Zhong, Lincai Zhong, Yuexin Ma, Lan Xu, Chenglu Wen, Siqi Shen, Cheng Wang |
| 2025 | EMNLP | End-to-End Optimization for Multimodal Retrieval-Augmented Generation via Reward Backpropagation. | Zhiyuan Fan, Longfei Yun, Ming Yan, Yumeng Wang, Dadi Guo, Brian Mak, James T. Kwok, Yi R. Fung |
| 2025 | EMNLP | Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding. | Zirui Shao, Feiyu Gao, Zhaoqing Zhu, Chuwei Luo, Hangdi Xing, Zhi Yu, Qi Zheng, Ming Yan, Jiajun Bu |
| 2025 | EMNLP | Intelligent Document Parsing: Towards End-to-end Document Parsing via Decoupled Content Parsing and Layout Grounding. | Hangdi Xing, Feiyu Gao, Qi Zheng, Zhaoqing Zhu, Zirui Shao, Ming Yan |
| 2025 | GLOBECOM | Deep Graph Reinforcement Learning-Enabled Computation Offloading for UAV-Assisted Vehicular Edge Computing Networks. | Ming Yan, Haorong Guo, Rui Xiong, Chien Aun Chan, Andr F. Gygax, Elaine Wong |
| 2025 | ICLR | mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models. | Jiabo Ye, Haiyang Xu, Haowei Liu, Anwen Hu, Ming Yan, Qi Qian, Ji Zhang, Fei Huang, Jingren Zhou |
| 2025 | ICLR | Endowing Visual Reprogramming with Adversarial Robustness. | Shengjie Zhou, Xin Cheng, Haiyang Xu, Ming Yan, Tao Xiang, Feng Liu, Lei Feng |
| 2025 | ICML | Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning. | Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An |
| 2025 | ICML | Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models. | Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng |
| 2025 | ISCA | WindServe: Efficient Phase-Disaggregated LLM Serving with Stream-based Dynamic Scheduling. | Jingqi Feng, Yukai Huang, Rui Zhang, Sicheng Liang, Ming Yan, Jie Wu |
| 2025 | VTC | Energy Consumption Optimization of UAV-Assisted Edge Computing Network via Tiny-MADDPG. | Jialei Cheng, Ming Yan, Ling Lei, Lifen Li |
| 2025 | VTC | Edge-Cloud Collaborative Caching Strategy Optimization in Satellite CDN Based on Deep Reinforcement Learning. | Yiwen Chen, Ming Yan, Junwei Zhang |
| 2025 | VTC | Energy-Efficient Task Offloading Optimization Based on Meta-Learning in UAV-Assisted Edge Computing Networks. | Ming Yan, Litong Zhang, Lifen Li, Ling Lei, Chunguo Li |
| 2025 | WCNC | Multi-UAV Collaborative Live Broadcast Task Assignment Based on the Improved Wolf Pack Algorithm. | Ming Yan, Peiying Yu, Yuxuan Zhang, Chaohui Lv, Hui Ren, Chunguo Li |
| 2024 | AAAI | TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training. | Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang |
| 2024 | AAAI | DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels. | Haoran Liu, Ying Ma, Ming Yan, Yingke Chen, Dezhong Peng, Xu Wang |
| 2024 | ACL | Model Composition for Multimodal Large Language Models. | Chi Chen, Yiyang Du, Zheng Fang, Ziyue Wang, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu |
| 2024 | ACL | SocialBench: Sociality Evaluation of Role-Playing Conversational Agents. | Hongzhan Chen, Hehong Chen, Ming Yan, Wenshen Xu, Gao Xing, Weizhou Shen, Xiaojun Quan, Chenliang Li, Ji Zhang, Fei Huang |
| 2024 | ACL | PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs. | An Liu, Zonghan Yang, Zhenhe Zhang, Qingyuan Hu, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2024 | ACL | Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion. | Ziyue Wang, Chi Chen, Yiqi Zhu, Fuwen Luo, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Maosong Sun, Yang Liu |
| 2024 | ACL | Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. | Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He |
| 2024 | ACL | Budget-Constrained Tool Learning with Planning. | Yuanhang Zheng, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Yang Liu |
| 2024 | ACML | FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion. | Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen |
| 2024 | CHIIR | SiTunes: A Situational Music Recommendation Dataset with Physiological and Psychological Signals. | Vadim Grigorev, Jiayu Li, Weizhi Ma, Zhiyu He, Min Zhang, Yiqun Liu, Ming Yan, Ji Zhang |
| 2024 | COCOON | Labor: Adaptive Lazy Compaction for Learned Index in LSM-Tree. | Chunpu Huang, Yukai Huang, Lulu Chen, Rui Zhang, Ming Yan, Jie Wu |
| 2024 | COCOON | HR-Tree: A Hybrid PMem-DRAM and Write-Optimized R-Tree for Spatial Data Storage. | Rui Zhang, Yukai Huang, Lulu Chen, Shangyi Sun, Ming Yan, Jie Wu |
| 2024 | COLING | Semantics-enhanced Cross-modal Masked Image Modeling for Vision-Language Pre-training. | Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu |
| 2024 | COLING | Unifying Latent and Lexicon Representations for Effective Video-Text Retrieval. | Haowei Liu, Yaya Shi, Haiyang Xu, Chunfeng Yuan, Qinghao Ye, Chenliang Li, Ming Yan, Ji Zhang, Fei Huang, Bing Li, Weiming Hu |
| 2024 | CVPR | Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. | Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang |
| 2024 | CVPR | RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method. | Ming Yan, Yan Zhang, Shuqiang Cai, Shuqi Fan, Xincheng Lin, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang |
| 2024 | CVPR | mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration. | Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang |
| 2024 | EMNLP | mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding. | Anwen Hu, Haiyang Xu, Jiabo Ye, Ming Yan, Liang Zhang, Bo Zhang, Ji Zhang, Qin Jin, Fei Huang, Jingren Zhou |
| 2024 | EMNLP | MIBench: Evaluating Multimodal Large Language Models over Multiple Images. | Haowei Liu, Xi Zhang, Haiyang Xu, Yaya Shi, Chaoya Jiang, Ming Yan, Ji Zhang, Fei Huang, Chunfeng Yuan, Bing Li, Weiming Hu |
| 2024 | EMNLP | Small LLMs Are Weak Tool Learners: A Multi-LLM Agent. | Weizhou Shen, Chenliang Li, Hongzhan Chen, Ming Yan, Xiaojun Quan, Hehong Chen, Ji Zhang, Fei Huang |
| 2024 | EMNLP | Shortcuts Arising from Contrast: Towards Effective and Lightweight Clean-Label Attacks in Prompt-Based Learning. | Xiaopeng Xie, Ming Yan, Xiwen Zhou, Chenlong Zhao, Suli Wang, Yong Zhang, Joey Zhou |
| 2024 | EMNLP | TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging. | Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang |
| 2024 | ICPP | Revisiting Learned Index with Byte-addressable Persistent Storage. | Rui Zhang, Yukai Huang, Sicheng Liang, Shangyi Sun, Shaonan Ma, Chengying Huan, Lulu Chen, Zhihui Lu, Yang Xu, Ming Yan, Jie Wu |
| 2024 | IJCAI | Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation. | Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie |
| 2024 | IJCNN | Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection. | Kairui Hu, Ming Yan, Wen Haw Chong, Yong Keong Yap, Cuntai Guan, Joey Tianyi Zhou, Ivor W. Tsang |
| 2024 | Interspeech | DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation. | Baihan Li, Zeyu Xie, Xuenan Xu, Yiwei Guo, Ming Yan, Ji Zhang, Kai Yu, Mengyue Wu |
| 2024 | Interspeech | Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models. | Xuenan Xu, Pingyue Zhang, Ming Yan, Ji Zhang, Mengyue Wu |
| 2024 | IGARSS | Dynamic Estimation of Surface Height Changes and Deformation Time Series with Multitemporal InSAR. | Guangrong Li, Chaoying Zhao, Ming Yan |
| 2024 | IWQoS | Mitigating Intra-host Network Congestion with SmartNIC. | Yukai Huang, Lulu Chen, Chunpu Huang, Rui Zhang, Yiren Zhou, Ming Yan, Jie Wu |
| 2024 | IWQoS | Optimizing Inference Quality with SmartNIC for Recommendation System. | Ruixin Shi, Ming Yan, Jie Wu |
| 2024 | MMM | Part-Aware Prompt Tuning for Weakly Supervised Referring Expression Grounding. | Chenlin Zhao, Jiabo Ye, Yaguang Song, Ming Yan, Xiaoshan Yang, Changsheng Xu |
| 2023 | AAAI | Correspondence-Free Domain Alignment for Unsupervised Cross-Domain Image Retrieval. | Xu Wang, Dezhong Peng, Ming Yan, Peng Hu |
| 2023 | ACL | Distinguish Before Answer: Generating Contrastive Explanation as Knowledge for Commonsense Question Answering. | Qianglong Chen, Guohai Xu, Ming Yan, Ji Zhang, Fei Huang, Luo Si, Yin Zhang |
| 2023 | CVPR | CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions. | Ming Yan, Xin Wang, Yudi Dai, Siqi Shen, Chenglu Wen, Lan Xu, Yuexin Ma, Cheng Wang |
| 2023 | DASFAA | PFtree: Optimizing Persistent Adaptive Radix Tree for PM Systems on eADR Platform. | Rui Zhang, Yao Wu, Shangyi Sun, Lulu Chen, Yibo Huang, Ming Yan, Jie Wu |
| 2023 | EMNLP | MCC-KD: Multi-CoT Consistent Knowledge Distillation. | Hongzhan Chen, Siyue Wu, Xiaojun Quan, Rui Wang, Ming Yan, Ji Zhang |
| 2023 | EMNLP | ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models. | Chenliang Li, He Chen, Ming Yan, Weizhou Shen, Haiyang Xu, Zhikai Wu, Zhicheng Zhang, Wenmeng Zhou, Yingda Chen, Chen Cheng, Hongzhu Shi, Ji Zhang, Fei Huang, Jingren Zhou |
| 2023 | EMNLP | UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. | Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang |
| 2023 | ICANN | Pacesetter Learning for Large Scale Cooperative Multi-Agent Reinforcement Learning. | Pingqi Zhou, Chao Li, Mengwei Qiu, Jun Liu, Chennan Ma, Ming Yan |
| 2023 | ICCV | BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. | Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang |
| 2023 | ICCV | Improved Visual Fine-tuning with Natural Language Supervision. | Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian |
| 2023 | ICCV | Learning Trajectory-Word Alignments for Video-Language Tasks. | Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang |
| 2023 | ICCV | HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. | Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang |
| 2023 | ICDE | Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph. | Shumin Deng, Chengming Wang, Zhoubo Li, Ningyu Zhang, Zelin Dai, Hehong Chen, Feiyu Xiong, Ming Yan, Qiang Chen, Mosha Chen, Jiaoyan Chen, Jeff Z. Pan, Bryan Hooi, Huajun Chen |
| 2023 | ICML | mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video. | Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou |
| 2023 | IJCAI | From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping. | Junyang Wang, Ming Yan, Yi Zhang, Jitao Sang |
| 2023 | ICSE | Achieving Last-Mile Functional Coverage in Testing Chip Design Software Implementations. | Ming Yan, Junjie Chen, Hangyu Mao, Jiajun Jiang, Jianye Hao, Xingjian Li, Zhao Tian, Zhichao Chen, Dong Li, Zhangkong Xian, Yanwei Guo, Wulong Liu, Bin Wang, Yuefeng Sun, Yongshun Cui |
| 2023 | VR | Towards a 3D Evaluation Dataset for User Acceptance of Automated Shuttles. | Ming Yan, Wei Geng, Pan Hui |
| 2022 | ACL | WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types. | Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Rui Wang, Ming Yan, Lihan Chen, Yanghua Xiao |
| 2022 | CLUSTER | SKV: A SmartNIC-Offloaded Distributed Key-Value Store. | Shangyi Sun, Rui Zhang, Ming Yan, Jie Wu |
| 2022 | CoNEXT | An ultra-low latency and compatible PCIe interconnect for rack-scale communication. | Yibo Huang, Yukai Huang, Ming Yan, Jiayu Hu, Cunming Liang, Yang Xu, Wenxiong Zou, Yiming Zhang, Rui Zhang, Chunpu Huang, Jie Wu |
| 2022 | CVPR | Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. | Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin |
| 2022 | DASFAA | PromptMNER: Prompt-Based Entity-Related Visual Clue Extraction and Integration for Multimodal Named Entity Recognition. | Xuwu Wang, Junfeng Tian, Min Gui, Zhixu Li, Jiabo Ye, Ming Yan, Yanghua Xiao |
| 2022 | EMNLP | TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. | Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang |
| 2022 | EMNLP | mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections. | Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, He Chen, Guohai Xu, Zheng Cao, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou, Luo Si |
| 2022 | IJCAI | DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning. | Qianglong Chen, Feng-Lin Li, Guohai Xu, Ming Yan, Ji Zhang, Yin Zhang |
| 2022 | Interspeech | Prompt-based Re-ranking Language Model for ASR. | Mengxi Nie, Ming Yan, Caixia Gong |
| 2021 | AAAI | A Unified Pretraining Framework for Passage Ranking and Expansion. | Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang |
| 2021 | ACL | StructuralLM: Structural Pre-training for Form Understanding. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2021 | ACL | Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction. | Chenliang Li, Bin Bi, Ming Yan, Wei Wang, Songfang Huang |
| 2021 | ACL | E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning. | Haiyang Xu, Ming Yan, Chenliang Li, Bin Bi, Songfang Huang, Wenming Xiao, Fei Huang |
| 2021 | ICLR | Linear Convergent Decentralized Optimization with Compression. | Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan |
| 2021 | ICML | Elastic Graph Neural Networks. | Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang |
| 2021 | SENSYS | Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling. | Xiao Zeng, Ming Yan, Mi Zhang |
| 2020 | AAAI | Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2020 | ACL | Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering. | Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou |
| 2020 | AISTATS | A Double Residual Compression Algorithm for Efficient Distributed Learning. | Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan |
| 2020 | EMNLP | PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation. | Bin Bi, Chenliang Li, Chen Wu, Ming Yan, Wei Wang, Songfang Huang, Fei Huang, Luo Si |
| 2020 | ICLR | StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding. | Wei Wang, Bin Bi, Ming Yan, Chen Wu, Jiangnan Xia, Zuyi Bao, Liwei Peng, Luo Si |
| 2020 | ICPR | Cross-modal Deep Learning Applications: Audio-Visual Retrieval. | Cong Jin, Tian Zhang, Shouxun Liu, Yun Tie, Xin Lv, Jianguang Li, Wencai Yan, Ming Yan, Qian Xu, Yicong Guan, Zhenggougou Yang |
| 2019 | AAAI | A Deep Cascade Model for Multi-Document Reading Comprehension. | Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen |
| 2019 | CIKM | Incorporating Relation Knowledge into Commonsense Reading Comprehension with Multi-task Learning. | Jiangnan Xia, Chen Wu, Ming Yan |
| 2019 | EMNLP | Incorporating External Knowledge into Machine Reading for Generative Question Answering. | Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li |
| 2019 | HCI | Urban Interaction Design Supports Modular Design Practice for Urban Public Space. | Huan Wang, Ming Yan, Han Xie, Zhiyong Fu |
| 2019 | ICIP | Image Smoothing Via Gradient Sparsity and Surface Area Minimization. | Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng |
| 2019 | ISCAS | Composite Optimization for Electromigration Reliability and Noise in Power Grid Networks. | Jing Wang, Yici Cai, Ming Yan, Qiang Zhou |
| 2018 | ACL | Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering. | Wei Wang, Chen Wu, Ming Yan |
| 2018 | ICML | D | Hanlin Tang, Xiangru Lian, Ming Yan, Ce Zhang, Ji Liu |
| 2017 | CIKM | Session-aware Information Embedding for E-commerce Product Recommendation. | Chen Wu, Ming Yan |
| 2017 | ICCD | Power Profile Equalizer: A Lightweight Countermeasure against Side-Channel Attack. | Chenguang Wang, Ming Yan, Yici Cai, Qiang Zhou, Jianlei Yang |
| 2016 | ICDM | Asynchronous Multi-task Learning. | Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou |
| 2015 | APWEB | Tree-Based Metric Learning for Distance Computation in Data Mining. | Ming Yan, Yan Zhang, Hongzhi Wang |
| 2013 | ACSSC | Parallel and distributed sparse optimization. | Zhimin Peng, Ming Yan, Wotao Yin |
| 2013 | ICIAP | User-Oriented Social Analysis across Social Media Sites. | Ming Yan, Zhengyu Deng, Jitao Sang, Changsheng Xu |
| 2012 | FPGA | FPGA-accelerated 3D reconstruction using compressive sensing. | Jianwen Chen, Jason Cong, Ming Yan, Yi Zou |
| 2012 | ICPADS | ProDFA: Accelerating Domain Applications with a Coarse-Grained Runtime Reconfigurable Architecture. | Ming Yan, Ziyu Yang, Lei Liu, Sikun Li |
| 2011 | FCCM | Reconsideration of Computing Paradigms and a Novel Reconfigurable Architecture. | Ming Yan, Ziyu Yang, Sikun Li, Liu Yang |
| 2011 | HIS | An improved path planning approach based on Particle Swarm Optimization. | Xianxiang Wu, Ming Yan, Juan Wang |
| 2011 | ICCSA | Practical and Effective Domain-Specific Function Unit Design for CGRA. | Ming Yan, Ziyu Yang, Liu Yang, Lei Liu, Sikun Li |
| 2011 | ISVC | EM-Type Algorithms for Image Reconstruction with Background Emission and Poisson Noise. | Ming Yan |
| 2011 | ISVC | EM+TV Based Reconstruction for Cone-Beam CT with Reduced Radiation. | Ming Yan, Jianwen Chen, Luminita A. Vese, John D. Villasenor, Alex A. T. Bui, Jason Cong |
| 2009 | ICPADS | Exploiting Parallelism through High Level Optimization on a Heterogeneous Multicore SoC. | Ming Yan, Peng Zhao, Ziyu Yang, Sikun Li |
| 2008 | CSCWD | Application-driven System-on-Chip system model extraction approach. | Peng Zhao, Sikun Li, Dawei Wang, Ming Yan |
| 2004 | ICARCV | Tilted plane Feldkamp type reconstruction algorithm for spiral cone-beam CT. | Ming Yan, Cishen Zhang |
| 2004 | IGARSS | Simulation study of underwater passive navigation system based on gravity gradient. | Feizhou Zhang, Xiuwan Chen, Min Sun, Ming Yan, Dongkai Yang |
| 2004 | IGARSS | Simulation design of underwater terrain matching navigation based on information fusion. | Feizhou Zhang, Xiuwan Chen, Min Sun, Ming Yan, Dongkai Yang |
| 2002 | ICASSP | A coherent minimum-output-energy receiver with a Kalman channel predictor for DS-CDMA systems. | Ming Yan, Bhaskar D. Rao |