| 2026 | AAAI | Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization. | Xueyu Chen, Kaitao Song, Zifan Song, Dongsheng Li, Cairong Zhao |
| 2026 | AAAI | WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety. | Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu, Zihan Chen, Zhonghao Sun, Minlie Huang, Dongsheng Li |
| 2026 | ACL | Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs' Hallucinations. | Xinyue Fang, Zhiliang Tian, Zhen Huang, Ziyi Pan, Zhihua Wen, Xi Wang, Quntian Fang, Dongsheng Li |
| 2026 | ACL | DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection. | Tianle Liu, Zhiliang Tian, Zhen Huang, Tianlun Liu, Jingyuan Huang, Zhaoning Zhang, Chengcheng Shao, Dongsheng Li |
| 2026 | ACL | CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher. | Tianlun Liu, Zhiliang Tian, Zhen Huang, Xingzhi Zhou, Wanlong Yu, Tianle Liu, Feng Liu, Dongsheng Li |
| 2026 | ACL | Alloc-MoE: Budget-Aware Expert Activation Allocation for Efficient Mixture-of-Experts Inference. | Baihui Liu, Kaiyuan Tian, Wei Wang, Zhaoning Zhang, Linbo Qiao, Dongsheng Li |
| 2026 | ACL | GRASS: Gradient-based Adaptive Layer-wise Importance Sampling for Memory-efficient Large Language Model Fine-tuning. | Kaiyuan Tian, Linbo Qiao, Yu Tang, Gongqingjian Jiang, Baihui Liu, Yifu Gao, Xialin Su, Dongsheng Li |
| 2026 | ACL | Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation. | Hongyan Wu, Zhiliang Tian, Zhen Huang, Tengyue Hu, Linbo Qiao, Yifu Gao, Feng Liu, Dongsheng Li |
| 2026 | ACL | Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMs. | Libo Zhang, Zhaoning Zhang, Wangyang Hong, Dongsheng Li |
| 2026 | EuroPar | SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-Based CPUs. | Ziqi Wang, Dongsheng Li, Huayou Su |
| 2026 | EuroPar | DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning. | Chenke Yi, Zhiquan Lai, Shengwei Li, Wei Wang, Yu Tang, Weijie Liu, Dongsheng Li |
| 2026 | FAST | AdaCheck: An Adaptive Checkpointing System for Efficient LLM Training with Redundancy Utilization. | Weijie Liu, Shengwei Li, Zhiquan Lai, Keshi Ge, Qiaoling Chen, Peng Sun, Dongsheng Li, Kai Lu |
| 2026 | FAST | RosenBridge: A Framework for Enabling Express I/O Paths Across the Virtualization Boundary. | Shi Qiu, Li Wang, Jianqin Yan, Ruofan Xiong, Leping Yang, Xin Yao, Renhai Chen, Gong Zhang, Dongsheng Li, Jiwu Shu, Yiming Zhang |
| 2026 | ICDE | Graph2Region: Efficient Graph Similarity Learning With Structure and Scale Restoration (Extended Abstract). | Zhouyang Liu, Yixin Chen, Ning Liu, Jiezhong He, Dongsheng Li |
| 2026 | ICDE | Hierarchy-Aware Neural Subgraph Matching with Enhanced Similarity Measure (Extended Abstract). | Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Menghan Jia, Dongsheng Li |
| 2026 | ICDE | Rethinking Flexible Graph Similarity Computation: One-Step Alignment with Global Guidance. | Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Shuai Ma, Dongsheng Li |
| 2026 | ICS | LayerScope: Predictive Cross-Layer Scheduling for Efficient Multi-Batch MoE Inference on Legacy Servers. | Enda Yu, Dezun Dong, Zhaoning Zhang, Zhe Bai, Weiling Yang, Haojie Wang, Dongsheng Li, Yongwei Wu, Xiangke Liao |
| 2026 | NSDI | Di-PS: System-Algorithm Co-Design for Asynchronous and Heterogeneous Cross-cluster LLM Training at Scale. | Shengwei Li, Qiaoling Chen, Zhiquan Lai, Penglong Jiao, Wenwen Qu, Kun Cai, Jiaxing Li, Peng Sun, Xingcheng Zhang, Xiaoge Deng, Dongsheng Li, Kai Lu, Tianwei Zhang |
| 2026 | WWW | Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. | Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li |
| 2026 | SIGIR | Drift-Aware Incremental Token Adaptation with Collaborative Semantics for Generative Recommendation. | Yuebo Feng, Jiahao Liu, Mingzhe Han, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu |
| 2026 | WSDM | LLM Agent-based Shilling Attack on Recommender Systems. | Shengkang Gu, Jiahao Liu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Ning Gu, Li Shang, Tun Lu |
| 2025 | AAAI | Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. | Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li |
| 2025 | ACL | MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection. | Shanshan Liu, Menglong Lu, Zhen Huang, Zejiang He, Liu Liu, Zhigang Sun, Dongsheng Li |
| 2025 | ACL | AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. | Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li |
| 2025 | ACL | DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. | Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li |
| 2025 | ACL | LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis. | Zhiliang Tian, Jingyuan Huang, Zejiang He, Zhen Huang, Menglong Lu, Linbo Qiao, Songzhu Mei, Yijie Wang, Dongsheng Li |
| 2025 | ACL | Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel. | Yijiong Yu, Huiqiang Jiang, Xufang Luo, Qianhui Wu, Chin-Yew Lin, Dongsheng Li, Yuqing Yang, Yongfeng Huang, Lili Qiu |
| 2025 | ACL | DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. | Juhua Zhang, Zhiliang Tian, Minghang Zhu, Yiping Song, Taishu Sheng, Siyi Yang, Qiunan Du, Xinwang Liu, Minlie Huang, Dongsheng Li |
| 2025 | CIKM | EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents. | Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu |
| 2025 | CLUSTER | Capricorn: Efficient In-Memory Checkpointing for MoE Model Training with Dynamicity Awareness. | Wenqian Xie, Zhiquan Lai, Shengwei Li, Weijie Liu, Wei Wang, Yanqi Hao, Dongsheng Li |
| 2025 | CVPR | Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization. | Zhipeng Xu, De Cheng, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao |
| 2025 | CVPR | Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key. | Zhihe Yang, Xufang Luo, Dongqi Han, Yunjian Xu, Dongsheng Li |
| 2025 | EMNLP | Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference. | Libo Zhang, Zhaoning Zhang, Xubaizhou, Rui Li, Zhiliang Tian, Songzhu Mei, Dongsheng Li |
| 2025 | EuroSys | Cheetah: Metadata Aggregation for Fast Object Storage without Distributed Ordering. | Yiming Zhang, Li Wang, Shengyun Liu, Shun Gai, Haonan Wang, Xin Yao, Meiling Wang, Kai Chen, Dongsheng Li, Jiwu Shu |
| 2025 | ICASSP | Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding. | Jingyuan Li, Yansen Wang, Nie Lin, Dongsheng Li |
| 2025 | ICASSP | An Efficient Pore Annotation Framework for Tight Sandstone Images with Segment Anything Model. | Dongsheng Li, Chunyan Zang, Huijie Zhang, Yiming Lin, Qiushi Xia |
| 2025 | ICASSP | LTOS: Layout-controllable Text-object Synthesis via Adaptive Cross-attention Fusions. | Xiaoran Zhao, Tianhao Wu, Yu Lai, Zhiliang Tian, Zhen Huang, Yahui Liu, Zejiang He, Dongsheng Li |
| 2025 | ICCV | VisRL: Intention-Driven Visual Perception via Reinforced Reasoning. | Zhangquan Chen, Xufang Luo, Dongsheng Li |
| 2025 | ICDCS | Bandwidth Optimized Scalable Designs with Inter-Layer Overlapping for MPI Broadcast. | Yi Dai, Qi Zhu, Jiaqing Xu, Qiang Wang, Bo Yang, Min Xie, Dongsheng Li |
| 2025 | ICLR | How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension. | Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan |
| 2025 | ICLR | NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals. | Weibang Jiang, Yansen Wang, Bao-Liang Lu, Dongsheng Li |
| 2025 | ICLR | SCBench: A KV Cache-Centric Analysis of Long-Context Methods. | Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | ICLR | What Makes a Good Diffusion Planner for Decision Making? | Haofei Lu, Dongqi Han, Yifei Shen, Dongsheng Li |
| 2025 | ICLR | pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation. | Shentong Mo, Xufang Luo, Dongsheng Li |
| 2025 | ICLR | SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents. | Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Xufang Luo, Hao Cheng, Dongsheng Li, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Jianfeng Gao |
| 2025 | ICLR | DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation. | Brian Nlong Zhao, Yuhang Xiao, Jiashu Xu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Laurent Itti, Vibhav Vineet, Yunhao Ge |
| 2025 | ICML | MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention. | Yucheng Li, Huiqiang Jiang, Chengruidong Zhang, Qianhui Wu, Xufang Luo, Surin Ahn, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu |
| 2025 | ICML | Habitizing Diffusion Planning for Efficient and Effective Decision Making. | Haofei Lu, Yifei Shen, Dongsheng Li, Junliang Xing, Dongqi Han |
| 2025 | ICML | Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference. | Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen, Yifeng Yang, Anrui Chen, Mingzhi Dong, Yujiang Wang, Dongsheng Li, David A. Clifton, Qin Lv, Rui Zhu, Chun Zhang, Fan Yang, Tun Lu, Ning Gu, Li Shang |
| 2025 | ICPP | HMGraph: Boosting GNN Training on Hierarchical Memory via Coordinated Cache. | Lizhi Zhang, Menghan Jia, Zhiquan Lai, Qiao Li, Yiming Zhang, Dongsheng Li |
| 2025 | ICWSM | AOTree: Aspect Order Tree-Based Model for Explainable Recommendation. | Wenxin Zhao, Peng Zhang, Hansu Gu, Dongsheng Li, Tun Lu, Ning Gu |
| 2025 | NAACL | EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms. | Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Dongsheng Li, Deqing Yang |
| 2025 | NAACL | EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. | Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang |
| 2025 | WWW | Filtering Discomforting Recommendations with Large Language Models. | Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu |
| 2025 | WWW | Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. | Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang |
| 2025 | WWW | Frequency-aware Graph Signal Processing for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2025 | SIGIR | FedCIA: Federated Collaborative Information Aggregation for Privacy-Preserving Recommendation. | Mingzhe Han, Dongsheng Li, Jiafeng Xia, Jiahao Liu, Hansu Gu, Peng Zhang, Ning Gu, Tun Lu |
| 2025 | SIGIR | Unbiased Collaborative Filtering with Fair Sampling. | Jiahao Liu, Dongsheng Li, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | SIGIR | AgentCF++: Memory-enhanced LLM-based Agents for Popularity-aware Cross-domain Recommendations. | Jiahao Liu, Shengkang Gu, Dongsheng Li, Guangping Zhang, Mingzhe Han, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | SIGIR | Improving LLM-powered Recommendations with Personalized Information. | Jiahao Liu, Xueshuo Yan, Dongsheng Li, Guangping Zhang, Hansu Gu, Peng Zhang, Tun Lu, Li Shang, Ning Gu |
| 2025 | WSDM | Oracle-guided Dynamic User Preference Modeling for Sequential Recommendation. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | AAAI | Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models. | Yubin Wang, Xinyang Jiang, De Cheng, Dongsheng Li, Cairong Zhao |
| 2024 | AAAI | Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. | Zimian Wei, Peijie Dong, Zheng Hui, Anggeng Li, Lujun Li, Menglong Lu, Hengyue Pan, Dongsheng Li |
| 2024 | ACL | Improving Large Language Models in Event Relation Logical Prediction. | Meiqi Chen, Yubo Ma, Kaitao Song, Yixin Cao, Yan Zhang, Dongsheng Li |
| 2024 | ACL | Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. | Yifu Gao, Linbo Qiao, Zhigang Kan, Zhihua Wen, Yongquan He, Dongsheng Li |
| 2024 | ACL | LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression. | Huiqiang Jiang, Qianhui Wu, Xufang Luo, Dongsheng Li, Chin-Yew Lin, Yuqing Yang, Lili Qiu |
| 2024 | ACL | POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. | Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li |
| 2024 | CIKM | Automated Contrastive Learning Strategy Search for Time Series. | Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren |
| 2024 | COLING | Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models. | Zhigang Kan, Liwen Peng, Linbo Qiao, Dongsheng Li |
| 2024 | COLING | KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. | Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Dong Yang, Xicheng Lu |
| 2024 | CVPR | Disentangled Prompt Representation for Domain Generalization. | De Cheng, Zhipeng Xu, Xinyang Jiang, Nannan Wang, Dongsheng Li, Xinbo Gao |
| 2024 | EACL | MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. | Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang |
| 2024 | ECCV | Unified Medical Image Pre-training in Language-Guided Common Semantic Space. | Xiaoxuan He, Yifan Yang, Xinyang Jiang, Xufang Luo, Haoji Hu, Siyun Zhao, Dongsheng Li, Yuqing Yang, Lili Qiu |
| 2024 | ECCV | Online Video Quality Enhancement with Spatial-Temporal Look-Up Tables. | Zefan Qu, Xinyang Jiang, Yifan Yang, Dongsheng Li, Cairong Zhao |
| 2024 | EMNLP | Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. | Yuxuan Guo, Zhiliang Tian, Yiping Song, Tianlun Liu, Liang Ding, Dongsheng Li |
| 2024 | ICASSP | 3D Parallelism for Transformers via Integer Programming. | Hao Zheng, Peng Liang, Yu Tang, Yanqi Shi, Linbo Qiao, Dongsheng Li |
| 2024 | ICDE | Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). | Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu |
| 2024 | ICLR | Training-free Multi-objective Diffusion Model for 3D Molecule Generation. | Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li |
| 2024 | ICLR | CNN Kernels Can Be the Best Shapelets. | Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li |
| 2024 | ICLR | Addressing Signal Delay in Deep Reinforcement Learning. | William Wei Wang, Dongqi Han, Xufang Luo, Dongsheng Li |
| 2024 | ICML | Efficient and Effective Time-Series Forecasting with Spiking Neural Networks. | Changze Lv, Yansen Wang, Dongqi Han, Xiaoqing Zheng, Xuanjing Huang, Dongsheng Li |
| 2024 | IJCAI | Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1. | Xiaoge Deng, Tao Sun, Dongsheng Li, Xicheng Lu |
| 2024 | IJCAI | LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought. | Zhuoxuan Jiang, Haoyuan Peng, Shanshan Feng, Fan Li, Dongsheng Li |
| 2024 | ICPR | TVT: Training-Free Vision Transformer Search on Tiny Datasets. | Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Dongsheng Li |
| 2024 | ISPA | HSDP: Accelerating Large-scale Model Training via Efficient Sharded Data Parallelism. | Yanqi Hao, Zhiquan Lai, Wei Wang, Shengwei Li, Weijie Liu, Keshi Ge, Dongsheng Li |
| 2024 | ISPA | Funnel: An Efficient Sparse Attention Accelerator with Multi-Dataflow Fusion. | Shenghong Ma, Jinwei Xu, Jingfei Jiang, Yaohua Wang, Dongsheng Li |
| 2024 | KDD | Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. | Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li |
| 2024 | KSEM | Meta Learning Based Rumor Detection with Awareness of Social Bot. | Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li |
| 2024 | WWW | LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction. | Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li |
| 2024 | WWW | Hierarchical Graph Signal Processing for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | WSDM | Neural Kalman Filtering for Robust Temporal Recommendation. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | AAAI | Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD. | Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li |
| 2023 | AAAI | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. | Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | AAAI | Similarity Distribution Based Membership Inference Attack on Person Re-identification. | Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao |
| 2023 | AAAI | Towards Inference Efficient Deep Ensemble Learning. | Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li |
| 2023 | AAAI | Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. | Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang |
| 2023 | ACL | DiffusionNER: Boundary Diffusion for Named Entity Recognition. | Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang |
| 2023 | ACL | Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion. | Yifu Gao, Yongquan He, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li |
| 2023 | ACL | DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. | Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li |
| 2023 | ACL | GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. | Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, Dongsheng Li |
| 2023 | ACL | Towards Understanding Omission in Dialogue Summarization. | Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Qi Zhang, Dongsheng Li, Tao Gui |
| 2023 | CIKM | AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. | Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | CIKM | Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2023 | CLUSTER | Prophet: Fine-grained Load Balancing for Parallel Training of Large-scale MoE Models. | Wei Wang, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Yujie Liu, Ao Shen, Dongsheng Li |
| 2023 | CVPR | Rotation-Invariant Transformer for Point Cloud Matching. | Hao Yu, Zheng Qin, Ji Hou, Mahdi Saleh, Dongsheng Li, Benjamin Busam, Slobodan Ilic |
| 2023 | ECAI | Normalized Stochastic Heavy Ball with Adaptive Momentum. | Ziqing Wen, Xiaoge Deng, Tao Sun, Dongsheng Li |
| 2023 | EMNLP | GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. | Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li |
| 2023 | EMNLP | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. | Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | EuroPar | Auto-Divide GNN: Accelerating GNN Training with Subgraph Division. | Hongyu Chen, Zhejiang Ran, Keshi Ge, Zhiquan Lai, Jingfei Jiang, Dongsheng Li |
| 2023 | HPCC | Communication Analysis for Multidimensional Parallel Training of Large-scale DNN Models. | Zhiquan Lai, Yanqi Hao, Shengwei Li, Dongsheng Li |
| 2023 | HPCC | Rethinking the Distributed DNN Training Cluster Design from the Cost-effectiveness View. | Zhiquan Lai, Yujie Liu, Wei Wang, Yanqi Hao, Dongsheng Li |
| 2023 | HPCC | Efficient Large Models Fine-tuning on Commodity Servers via Memory-balanced Pipeline Parallelism. | Yujie Liu, Zhiquan Lai, Weijie Liu, Wei Wang, Dongsheng Li |
| 2023 | ICASSP | RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. | Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li |
| 2023 | ICASSP | Progressive Meta-Pooling Learning for Lightweight Image Classification Model. | Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li |
| 2023 | ICASSP | Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism. | Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu |
| 2023 | ICASSP | Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection. | Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng |
| 2023 | ICASSP | A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition. | Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng |
| 2023 | ICASSP | MRML: Multimodal Rumor Detection by Deep Metric Learning. | Liwen Peng, Songlei Jian, Dongsheng Li, Siqi Shen |
| 2023 | ICASSP | DMFormer: Closing the gap Between CNN and Vision Transformers. | Zimian Wei, Hengyue Pan, Lujun Li, Menglong Lu, Xin Niu, Peijie Dong, Dongsheng Li |
| 2023 | ICIP | MENAS: Multi-trial Evolutionary Neural Architecture Search with Lottery Tickets. | Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Xin Niu, Dongsheng Li |
| 2023 | ICLR | Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. | Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang |
| 2023 | ICLR | EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark. | Shuguang Dou, Xinyang Jiang, Cairong Zhao, Dongsheng Li |
| 2023 | ICLR | SIMPLE: Specialized Model-Sample Matching for Domain Generalization. | Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li |
| 2023 | ICLR | Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer. | Eric Qu, Xufang Luo, Dongsheng Li |
| 2023 | ICLR | Explaining Temporal Graph Models through an Explorer-Navigator Framework. | Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li |
| 2023 | ICML | Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions. | Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang |
| 2023 | ICML | CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. | Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li |
| 2023 | IJCAI | Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. | Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li |
| 2023 | IJCAI | A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction. | Yilin Wang, Minghao Hu, Zhen Huang, Dongsheng Li, Wei Luo, Dong Yang, Xicheng Lu |
| 2023 | INFOCOM | Anarchic Convex Federated Learning. | Dongsheng Li, Xiaowen Gong |
| 2023 | Interspeech | End-to-End Word-Level Pronunciation Assessment with MASK Pre-training. | Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | MMM | AutoRF: Auto Learning Receptive Fields with Spatial Pooling. | Peijie Dong, Xin Niu, Zimian Wei, Hengyue Pan, Dongsheng Li, Zhen Huang |
| 2023 | MOBIHOC | Anarchic Federated learning with Delayed Gradient Averaging. | Dongsheng Li, Xiaowen Gong |
| 2023 | SMC | Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. | Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu |
| 2023 | WWW | Personalized Graph Signal Processing for Collaborative Filtering. | Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | WWW | SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. | Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao |
| 2023 | SIGIR | Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. | Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2023 | WSDM | CL4CTR: A Contrastive Learning Framework for CTR Prediction. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | AAAI | Invariant Information Bottleneck for Domain Generalization. | Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao |
| 2022 | AAAI | Neural Piecewise-Constant Delay Differential Equations. | Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin |
| 2022 | CIKM | Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization. | Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu |
| 2022 | CLUSTER | HPH: Hybrid Parallelism on Heterogeneous Clusters for Accelerating Large-scale DNNs Training. | Yabo Duan, Zhiquan Lai, Shengwei Li, Weijie Liu, Keshi Ge, Peng Liang, Dongsheng Li |
| 2022 | CLUSTER | AutoPipe: A Fast Pipeline Parallelism Approach with Balanced Partitioning and Micro-batch Slicing. | Weijie Liu, Zhiquan Lai, Shengwei Li, Yabo Duan, Keshi Ge, Dongsheng Li |
| 2022 | COLING | Social Bot-Aware Graph Neural Network for Early Rumor Detection. | Zhen Huang, Zhilong Lv, Xiaoyun Han, Binyang Li, Menglong Lu, Dongsheng Li |
| 2022 | CSCWD | Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems. | Yifan Liang, Zongzheng Zou, Peng Zhang, Dongsheng Li, Tun Lu, Ning Gu |
| 2022 | CVPR | RendNet: Unified 2D/3D Recognizer with Latent Space Rendering. | Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li |
| 2022 | DASFAA | Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. | Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang |
| 2022 | DASFAA | MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. | Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | EMNLP | Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. | Zhiliang Tian, Yinliang Wang, Yiping Song, Chi Zhang, Dongkyu Lee, Yingxiu Zhao, Dongsheng Li, Nevin L. Zhang |
| 2022 | ICASSP | S2 Reducer: High-Performance Sparse Communication to Accelerate Distributed Deep Learning. | Keshi Ge, Yongquan Fu, Yiming Zhang, Zhiquan Lai, Xiaoge Deng, Dongsheng Li |
| 2022 | ICASSP | Cross-Modal Knowledge Distillation in Multi-Modal Fake News Detection. | Zimian Wei, Hengyue Pan, Linbo Qiao, Xin Niu, Peijie Dong, Dongsheng Li |
| 2022 | ICLR | Recursive Disentanglement Network. | Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert P. Dick, Qin Lv, Fan Yang, Li Shang |
| 2022 | ICLR | Variational oracle guiding for reinforcement learning. | Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li |
| 2022 | ICML | Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. | Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian |
| 2022 | ICML | Adaptive Random Walk Gradient Descent for Decentralized Optimization. | Tao Sun, Dongsheng Li, Bao Wang |
| 2022 | ICPADS | MLPs: Efficient Training of MiniGo on Large-scale Heterogeneous Computing System. | Peng Qiao, Zhouyu He, Rongchun Li, Jingfei Jiang, Yong Dou, Dongsheng Li |
| 2022 | ICPP | Characterizing and Optimizing Transformer Inference on ARM Many-core Processor. | Jiazhi Jiang, Jiangsu Du, Dan Huang, Dongsheng Li, Jiang Zheng, Yutong Lu |
| 2022 | ICPP | EmbRace: Accelerating Sparse Communication for Distributed Training of Deep Neural Networks. | Shengwei Li, Zhiquan Lai, Dongsheng Li, Yiming Zhang, Xiangyu Ye, Yabo Duan |
| 2022 | IJCAI | Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure. | Yifu Gao, Linhui Feng, Zhigang Kan, Yi Han, Linbo Qiao, Dongsheng Li |
| 2022 | IJCAI | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. | Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2022 | IJCNN | Event Coreference Resolution based on Convolutional Siamese network and Circle Loss. | Beiya Dai, Jiangang Qian, Shiqing Cheng, Linbo Qiao, Dongsheng Li |
| 2022 | Interspeech | Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech. | Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu |
| 2022 | ICTAI | Similarity-Driven Adaptive Prototypical Network for Class-incremental Few-shot Named Entity Recognition. | Yifan Chen, Zhan Huang, Minghao Hu, Dongsheng Li, Changjian Wang, Ankun Wang, Boyang Wang, Xicheng Lu |
| 2022 | ISPA | SCGraph: Accelerating Sample-based GNN Training by Staged Caching of Features on GPUs. | Yuqi He, Zhiquan Lai, Zhejiang Ran, Lizhi Zhang, Dongsheng Li |
| 2022 | KDD | CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis. | Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang |
| 2022 | KSEM | Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation. | Ankun Wang, Feng Liu, Zhen Huang, Minghao Hu, Dongsheng Li, Yifan Chen, Xinjia Xie |
| 2022 | NAACL | Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text. | Zhenzhen Li, Yuyang Zhang, Jian-Yun Nie, Dongsheng Li |
| 2022 | WWW | Cross-modal Ambiguity Learning for Multimodal Fake News Detection. | Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Tun Lu, Li Shang |
| 2022 | WWW | MINDSim: User Simulator for News Recommenders. | Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li |
| 2022 | WWW | Accurate and Explainable Recommendation via Review Rationalization. | Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu |
| 2022 | WWW | FIRE: Fast Incremental Recommendation with Graph Signal Processing. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu |
| 2022 | SIGIR | Enhancing CTR Prediction with Context-Aware Feature Representation Learning. | Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2022 | SC | vGraph: Memory-Efficient Multicore Graph Processing for Traversal-Centric Algorithms. | Menghan Jia, Yiming Zhang, Xinbiao Gan, Dongsheng Li, Erci Xu, Ruibo Wang, Kai Lu |
| 2022 | UIC | Relational Context Enhanced Dual Path Reasoning for Fact Prediction in Knowledge Graph. | Yilin Wang, Zhen Huang, Minghao Hu, Dongsheng Li, Wei Luo, Dong Yang |
| 2021 | AAAI | Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. | Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang |
| 2021 | AAAI | Stability and Generalization of Decentralized Stochastic Gradient Descent. | Tao Sun, Dongsheng Li, Bao Wang |
| 2021 | CIKM | Multi-view Interaction Learning for Few-Shot Relation Classification. | Yi Han, Linbo Qiao, Jianming Zheng, Zhigang Kan, Linhui Feng, Yifu Gao, Yu Tang, Qi Zhai, Dongsheng Li, Xiangke Liao |
| 2021 | CIKM | How Powerful is Graph Convolution for Recommendation? | Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, Khaled B. Letaief, Dongsheng Li |
| 2021 | CIKM | Incremental Graph Convolutional Network for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu |
| 2021 | CIKM | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. | Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu |
| 2021 | CLUSTER | CASQ: Accelerate Distributed Deep Learning with Sketch-Based Gradient Quantization. | Keshi Ge, Yiming Zhang, Yongquan Fu, Zhiquan Lai, Xiaoge Deng, Dongsheng Li |
| 2021 | CLUSTER | 2PGraph: Accelerating GNN Training over Large Graphs on GPU Clusters. | Lizhi Zhang, Zhiquan Lai, Shengwei Li, Yu Tang, Feng Liu, Dongsheng Li |
| 2021 | CSCWD | A Review Construction-based Approach to Collaborative Filtering. | Bo Yang, Hui Liu, Jicheng Lei, Dongsheng Li, Peng Wang |
| 2021 | CVPR | Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. | Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao |
| 2021 | DASFAA | SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. | Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu |
| 2021 | EMNLP | Diversity and Consistency: Exploring Visual Question-Answer Pair Generation. | Sen Yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li |
| 2021 | ICASSP | Inertial Proximal Deep Learning Alternating Minimization for Efficient Neutral Network Training. | Linbo Qiao, Tao Sun, Hengyue Pan, Dongsheng Li |
| 2021 | ICCV | Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. | Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li |
| 2021 | ICDM | Towards Generating Real-World Time Series Data. | Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li |
| 2021 | ICPP | Optimizing Massively Parallel Winograd Convolution on ARM Processor. | Dongsheng Li, Dan Huang, Zhiguang Chen, Yutong Lu |
| 2021 | ICPP | Hippie: A Data-Paralleled Pipeline Approach to Improve Memory-Efficiency and Scalability for Large DNN Training. | Xiangyu Ye, Zhiquan Lai, Shengwei Li, Lei Cai, Ding Sun, Linbo Qiao, Dongsheng Li |
| 2021 | IJCNN | A Neural Ranker for Open-Domain Question Answering via Sentence-Level Jump Encoding. | Yang Liu, Shiyi Xu, Zhen Huang, Changjian Wang, Dongsheng Li, Feng Liu, Jinyan Qiu |
| 2021 | IPCCC | Accelerate Graph Neural Network Training by Reusing Batch Data on GPUs. | Zhejiang Ran, Zhiquan Lai, Lizhi Zhang, Dongsheng Li |
| 2021 | ISPA | PCGraph: Accelerating GNN Inference on Large Graphs via Partition Caching. | Lizhi Zhang, Zhiquan Lai, Yu Tang, Dongsheng Li, Feng Liu, Xiaochun Luo |
| 2021 | KDD | Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation. | Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi |
| 2021 | KSEM | Syntactic Enhanced Projection Network for Few-Shot Chinese Event Extraction. | Linhui Feng, Linbo Qiao, Yi Han, Zhigang Kan, Yifu Gao, Dongsheng Li |
| 2021 | KSEM | Rumor Verification on Social Media with Stance-Aware Recursive Tree. | Xiaoyun Han, Zhen Huang, Menglong Lu, Dongsheng Li, Jinyan Qiu |
| 2021 | KSEM | Improved Partitioning Graph Embedding Framework for Small Cluster. | Ding Sun, Zhen Huang, Dongsheng Li, Xiangyu Ye, Yilin Wang |
| 2021 | PAKDD | CED-BGFN: Chinese Event Detection via Bidirectional Glyph-Aware Dynamic Fusion Network. | Qi Zhai, Zhigang Kan, Sen Yang, Linbo Qiao, Feng Liu, Dongsheng Li |
| 2021 | PAKDD | Densely Connected Graph Attention Network Based on Iterative Path Reasoning for Document-Level Relation Extraction. | Hongya Zhang, Zhen Huang, Zhenzhen Li, Dongsheng Li, Feng Liu |
| 2021 | SIGIR | Graph Pooling via Coarsened Graph Infomax. | Yunsheng Pang, Yunxiang Zhao, Dongsheng Li |
| 2020 | ACML | NENN: Incorporate Node and Edge Features in Graph Neural Networks. | Yulei Yang, Dongsheng Li |
| 2020 | CIKM | Meta-Learning for Neural Relation Classification with Distant Supervision. | Zhenzhen Li, Jian-Yun Nie, Benyou Wang, Pan Du, Yuhan Zhang, Lixin Zou, Dongsheng Li |
| 2020 | CVPR | Rethinking Segmentation Guidance for Weakly Supervised Object Detection. | Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou |
| 2020 | EuroPar | Optimizing FFT-Based Convolution on ARMv8 Multi-core CPUs. | Qinglin Wang, Dongsheng Li, Xiandong Huang, Siqi Shen, Songzhu Mei, Jie Liu |
| 2020 | HPCC | A Reinforcement Learning-Based Virtual Machine Placement Strategy in Cloud Data Centers. | Saiqin Long, Zhetao Li, Yun Xing, Shujuan Tian, Dongsheng Li, Rong Yu |
| 2020 | ICASSP | Attentional Fused Temporal Transformation Network for Video Action Recognition. | Ke Yang, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Peng Qiao, Xin Niu, Jie Jiang, Dongsheng Li, Yong Dou |
| 2020 | IGARSS | Visual Context Aware Ship Detector for High-Resolution SAR Imagery. | Shigang Wang, Dongsheng Li, Shuwen Liu, Bin Li |
| 2020 | INFOCOM | Clustering-preserving Network Flow Sketching. | Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen |
| 2020 | INFOCOM | ReLoca: Optimize Resource Allocation for Data-parallel Jobs using Deep Learning. | Zhiyao Hu, Dongsheng Li, Dongxiang Zhang, Yixin Chen |
| 2020 | INFOCOM | Poster Abstract: Model Average-based Distributed Training for Sparse Deep Neural Networks. | Yuetong Yang, Zhiquan Lai, Lei Cai, Dongsheng Li |
| 2020 | ICTAI | DualGCN: Representation Learning for Property Graphs via Dual-level Convolutional Networks. | Yulei Yang, Dongsheng Li |
| 2020 | IWQoS | Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation. | Yixin Chen, Xinye Lin, Keshi Ge, Wenbo He, Dongsheng Li |
| 2019 | AAAI | Read + Verify: Machine Reading Comprehension with Unanswerable Questions. | Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li |
| 2019 | AAAI | Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms. | Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang |
| 2019 | ACL | Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension. | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
| 2019 | ACL | Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification. | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv |
| 2019 | ACL | Exploring Pre-trained Language Models for Event Extraction and Generation. | Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li |
| 2019 | CIKM | Synergizing Local and Global Models for Matrix Approximation. | Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang |
| 2019 | CSCWD | Matrix Approximation with Cumulative Penalty for Collaborative Filtering. | Jiaming Cui, Tun Lu, Dongsheng Li, Ning Gu |
| 2019 | EMNLP | A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning. | Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li |
| 2019 | EuroSys | URSA: Hybrid Block Storage for Cloud-Scale Virtual Disks. | Huiba Li, Yiming Zhang, Dongsheng Li, Zhiming Zhang, Shengyun Liu, Peng Huang, Zheng Qin, Kai Chen, Yongqiang Xiong |
| 2019 | ICA3PP | Rise the Momentum: A Method for Reducing the Training Error on Multiple GPUs. | Yu Tang, Lujia Yin, Zhaoning Zhang, Dongsheng Li |
| 2019 | ICASSP | Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring. | Tao Sun, Dongsheng Li, Hao Jiang, Zhe Quan |
| 2019 | ICCV | Correlation Congruence for Knowledge Distillation. | Baoyun Peng, Xiao Jin, Dongsheng Li, Shunfeng Zhou, Yichao Wu, Jiaheng Liu, Zhaoning Zhang, Yu Liu |
| 2019 | ICCV | Towards Precise End-to-End Weakly Supervised Object Detection Network. | Ke Yang, Dongsheng Li, Yong Dou |
| 2019 | ICDCS | HPDL: Towards a General Framework for High-performance Distributed Deep Learning. | Dongsheng Li, Zhiquan Lai, Keshi Ge, Yiming Zhang, Zhaoning Zhang, Qinglin Wang, Huaimin Wang |
| 2019 | IJCAI | Heavy-ball Algorithms Always Escape Saddle Points. | Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou |
| 2019 | IJCNN | Author Disambiguation through Adversarial Network Representation Learning. | Liwen Peng, Siqi Shen, Dongsheng Li, Jun Xu, Yongquan Fu, Huayou Su |
| 2019 | IWQoS | Branch scheduling: dag-aware scheduling for speeding up data-parallel jobs. | Zhiyao Hu, Dongsheng Li, Yiming Zhang, Deke Guo, Ziyang Li |
| 2019 | KSEM | A Distributed Topic Model for Large-Scale Streaming Text. | Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li |
| 2019 | KSEM | Correction to: A Distributed Topic Model for Large-Scale Streaming Text. | Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li |
| 2019 | SIGCOMM | Resilient Disaggregated Network Flow Monitoring. | Yongquan Fu, Dongsheng Li, Siqi Shen, Yiming Zhang, Kai Chen |
| 2019 | SDM | Collaborative Filtering with Noisy Ratings. | Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu |
| 2018 | AAAI | Exploring Temporal Preservation Networks for Precise Temporal Action Localization. | Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou |
| 2018 | CIKM | A Network-embedding Based Method for Author Disambiguation. | Jun Xu, Siqi Shen, Dongsheng Li, Yongquan Fu |
| 2018 | EMNLP | Attention-Guided Answer Distillation for Machine Reading Comprehension. | Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou |
| 2018 | EuroSys | Pcatch: automatically detecting performance cascading bugs in cloud systems. | Jiaxin Li, Yuxi Chen, Haopeng Liu, Shan Lu, Yiming Zhang, Haryadi S. Gunawi, Xiaohui Gu, Xicheng Lu, Dongsheng Li |
| 2018 | ICA3PP | PruX: Communication Pruning of Parallel BFS in the Graph 500 Benchmark. | Menghan Jia, Yiming Zhang, Dongsheng Li, Songzhu Mei |
| 2018 | ICDCS | The Fusion of VMs and Processes: A System Perspective of cKernel. | Yiming Zhang, Dongsheng Li, Qiao Zhou, Feng Huang, Yingwen Chen, Yang Hu, Ping Zhong, Yongqiang Xiong, Huaimin Wang |
| 2018 | ICDE | Continuous Proximity Detection via Predictive Safe Region Construction. | Ying Xu, Dongxiang Zhang, Meihui Zhang, Dongsheng Li, Xiaoling Wang, Heng Tao Shen |
| 2018 | ICDM | An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines. | Lei Guan, Linbo Qiao, Dongsheng Li, Tao Sun, Keshi Ge, Xicheng Lu |
| 2018 | ICIP | Temporal Pyramid Relation Network for Video-Based Gesture Recognition. | Ke Yang, Rongchun Li, Peng Qiao, Qiang Wang, Dongsheng Li, Yong Dou |
| 2018 | ICPADS | A Quick Survey on Large Scale Distributed Deep Learning Systems. | Zhaoning Zhang, Lujia Yin, Yuxing Peng, Dongsheng Li |
| 2018 | IJCNN | Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. | Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li |
| 2018 | IJCNN | Diagonalwise Refactorization: An Efficient Training Method for Depthwise Convolutions. | Zheng Qin, Zhaoning Zhang, Dongsheng Li, Yiming Zhang, Yuxing Peng |
| 2018 | IJCNN | Deep Discriminative Clustering Network. | Xuying Shaol, Ke-shi Ge, Huayou Su, Lei Luo, Baoyun Peng, Dongsheng Li |
| 2018 | IJCNN | Loss Rank Mining: A General Hard Example Mining Method for Real-time Detectors. | Hao Yu, Zhaoning Zhang, Zheng Qin, Hao Wu, Dongsheng Li, Jun Zhao, Xicheng Lu |
| 2018 | INDIN | An Algorithmic Method for Tampering-Proof and Privacy-Preserving Smart Metering. | Dongsheng Li, Yingying Zhao, Yawen Zhang, Qin Lv, Li Shang |
| 2018 | INDIN | Deriving Customer Privacy from Randomly Perturbed Smart Metering Data. | Yingying Zhao, Dongsheng Li, Qi Liu, Qin Lv, Li Shang |
| 2018 | WWW | AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. | Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu |
| 2018 | USENIX | KylinX: A Dynamic Library Operating System for Simplified and Efficient Cloud Virtualization. | Yiming Zhang, Jon Crowcroft, Dongsheng Li, Chengfen Zhang, Huiba Li, Yaozheng Wang, Kai Yu, Yongqiang Xiong, Guihai Chen |
| 2017 | AAAI | GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. | Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu |
| 2017 | AAAI | ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. | Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha |
| 2017 | CSCWD | Multi-task matrix factorization for collaborative filtering. | Wanlu Shi, Tun Lu, Dongsheng Li, Peng Zhang, Ning Gu |
| 2017 | ICDCS | GraphA: Adaptive Partitioning for Natural Graphs. | Dongsheng Li, Chengfei Zhang, Jinyan Wang, Zhaoning Zhang, Yiming Zhang |
| 2017 | ICDM | Fast Compressive Spectral Clustering. | Ting Li, Yiming Zhang, Dongsheng Li, Xinwang Liu, Yuxing Peng |
| 2017 | INFOCOM | Rate-aware flow scheduling for commodity data center networks. | Ziyang Li, Wei Bai, Kai Chen, Dongsu Han, Yiming Zhang, Dongsheng Li, Hongfang Yu |
| 2017 | INFOCOM | CubeX: Leveraging glocality of cube-based networks for RAM-based key-value store. | Yiming Zhang, Dongsheng Li, Tian Tian, Ping Zhong |
| 2017 | ICWS | SES-LSH: Shuffle-Efficient Locality Sensitive Hashing for Distributed Similarity Search. | Dongsheng Li, Wanxin Zhang, Siqi Shen, Yiming Zhang |
| 2017 | WWW | An Analysis on a YouTube-like UGC site with Enhanced Social Features. | Adele Lu Jia, Siqi Shen, Shengling Chen, Dongsheng Li, Alexandru Iosup |
| 2017 | USENIX | PARIX: Speculative Partial Writes in Erasure-Coded Systems. | Huiba Li, Yiming Zhang, Zhiming Zhang, Shengyun Liu, Dongsheng Li, Xiaohui Liu, Yuxing Peng |
| 2016 | CLUSTER | Efficient Semantic-Aware Coflow Scheduling for Data-Parallel Jobs. | Ziyang Li, Yiming Zhang, Yunxiang Zhao, Dongsheng Li |
| 2016 | CLUSTER | SMARTPARTITION: Efficient Partitioning for Natural Graphs. | Chengfei Zhang, Yiming Zhang, Dongsheng Li, Jia Li, Min-ne Li |
| 2016 | ICML | Low-Rank Matrix Approximation with Stability. | Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu |
| 2016 | IJCAI | MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. | Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang |
| 2016 | IJCNN | A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. | Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu |
| 2016 | INFOCOM | OPTAS: Decentralized flow monitoring and scheduling for tiny tasks. | Ziyang Li, Yiming Zhang, Dongsheng Li, Kai Chen, Yuxing Peng |
| 2016 | INFOCOM | Shuffle-efficient distributed Locality Sensitive Hashing on spark. | Wanxin Zhang, Dongsheng Li, Ying Xu, Yiming Zhang |
| 2016 | ICWS | On the Expandability and Fidelity of Distributed Line Graphs. | Tian Tian, Yiming Zhang, Dongsheng Li, Jiaxin Li, Ping Zhong, Ling Liu |
| 2016 | NPC | DSS: A Scalable and Efficient Stratified Sampling Algorithm for Large-Scale Datasets. | Min-ne Li, Dongsheng Li, Siqi Shen, Zhaoning Zhang, Xicheng Lu |
| 2016 | SIGCOMM | Best Effort Task Scheduling for Data Parallel Jobs. | Ziyang Li, Yiming Zhang, Yunxiang Zhao, Yuxing Peng, Dongsheng Li |
| 2015 | CLUSTER | Efficient Distributed Data Clustering on Spark. | Jia Li, Dongsheng Li, Yiming Zhang |
| 2015 | CLUSTER | Pallas: An Application-Driven Task and Network Simulation Framework. | Yuming Ye, Ziyang Li, Dongsheng Li, Yiming Zhang, Feng Liu, Yuxing Peng |
| 2015 | ICA3PP | DFIS: A Scalable Distributed Fingerprint Identification System. | Yunxiang Zhao, Wanxin Zhang, Dongsheng Li, Zhen Huang |
| 2015 | ICDCS | FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing. | Hao Wang, Li Chen, Kai Chen, Ziyang Li, Yiming Zhang, Haibing Guan, Zhengwei Qi, Dongsheng Li, Yanhui Geng |
| 2015 | NSDI | CubicRing: Enabling One-Hop Failure Detection and Recovery for Distributed In-Memory Storage Systems. | Yiming Zhang, Chuanxiong Guo, Dongsheng Li, Rui Chu, Haitao Wu, Yongqiang Xiong |
| 2015 | SIGIR | WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation. | Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, Li Shang |
| 2014 | BigData | MapCheckReduce: An Improved MapReduce Computing Model for Imprecise Applications. | Changjian Wang, Yuxing Peng, Mingxing Tang, Dongsheng Li, Shanshan Li, Pengfei You |
| 2013 | CSCWD | AOPUT: A recommendation framework based on social activities and content interests. | Yingying Deng, Tun Lu, Huanhuan Xia, Dongsheng Li, Tiejiang Liu, Xianghua Ding, Ning Gu |
| 2013 | ICOST | Extracting Intra- and Inter-activity Association Patterns from Daily Routines of Elders. | Qiang Lin, Daqing Zhang, Dongsheng Li, Hongbo Ni, Xingshe Zhou |
| 2013 | ICPADS | Efficient Bulk Loading to Accelerate Spatial Keyword Queries. | Dongsheng Li, Jinkun Pan, Jiaxin Li, Kian-Lee Tan, Dongxiang Zhang |
| 2013 | ICPADS | OPTAS: Optimal Data Placement in MapReduce. | Changjian Wang, Yongrui Qin, Zhen Huang, Yuxing Peng, Dongsheng Li, Huiba Li |
| 2013 | UIC | Using the Model of Markets with Intermediaries as an Incentive Scheme for Opportunistic Social Networks. | Shenlong Huangfu, Bin Guo, Zhiwen Yu, Dongsheng Li |
| 2011 | CIKM | YANA: an efficient privacy-preserving recommender system for online social communities. | Dongsheng Li, Qin Lv, Li Shang, Ning Gu |
| 2010 | ICPADS | Efficient Virtual Machine Deployment in Large Scale Resource Environment. | Feng Huang, Dongsheng Li |
| 2010 | ISCC | Automatic Concurrency Management for distributed applications. | Huiba Li, Shengyun Liu, Yuxing Peng, Dongsheng Li |
| 2009 | ICPADS | A Virtual Machine Server Aggregation Algorithm Based on Hierarchical Clustering. | Feng Huang, Dongsheng Li |
| 2009 | ICPADS | Creating Virtual Networks for Distributed Virtual Computing Environment. | Dongsheng Li, Yixing Chen, Feng Huang |
| 2009 | ICWS | DHT-Based Range Query Processing for Web Service Discovery. | Yiming Zhang, Ling Liu, Dongsheng Li, Feng Liu, Xicheng Lu |
| 2008 | ICDCS | Distributed Line Graphs: A Universal Framework for Building DHTs Based on Arbitrary Constant-Degree Graphs. | Yiming Zhang, Ling Liu, Dongsheng Li, Xicheng Lu |
| 2007 | ICNC | A Prediction on Electric Signals Processing of Aloe Vera Var. Chinensis. | Lanzhou Wang, Haixia Li, Dongsheng Li, Jiayin Zhao |
| 2007 | ICPP | Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks. | Yiming Zhang, Dongsheng Li, Lei Chen, Xicheng Lu |
| 2007 | Networking | PIBUS: A Network Memory-Based Peer-to-Peer IO Buffering Service. | Yiming Zhang, Dongsheng Li, Rui Chu, Nong Xiao, Xicheng Lu |
| 2006 | ICDCN | DRWT: An Efficient Random Walk Algorithm for Unstructured P2P Networks. | Yiming Zhang, Xicheng Lu, Dongsheng Li, Nong Xiao |
| 2006 | ICDCS | Delay-Bounded Range Queries in DHT-based Peer-to-Peer Systems. | Dongsheng Li, Xicheng Lu, Baosheng Wang, Jinshu Su, Jiannong Cao, Keith C. C. Chan, Hong Va Leong |
| 2005 | INFOCOM | FISSIONE: a scalable constant degree and low congestion DHT scheme based on Kautz graphs. | Dongsheng Li, Xicheng Lu, Jie Wu |
| 2004 | NPC | Graph-Theoretic Analysis of Kautz Topology and DHT Schemes. | Dongsheng Li, Xicheng Lu, Jinshu Su |
| 2003 | CLUSTER | Dynamic Self-Adaptive Replica Location Method in Data Grids. | Dongsheng Li, Nong Xiao, Xicheng Lu, Yijie Wang, Kai Lu |