| 2026 | AAAI | MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains. | Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao, Junnan Zhu, Jiang Zhong |
| 2026 | ACL | DiffER: Diffusion Entity-Relation Modeling for Reversal Curse in Diffusion Large Language Models. | Shaokai He, Kaiwen Wei, Xinyi Zeng, Xiang Chen, Xue Yang, Zhenyang Li, Jiang Zhong, Yu Tian |
| 2026 | ACL | MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis. | Xiao Sun, Yuming Yang, Xinyi Jiang, Yu Tian, Junnan Zhu, Jiang Zhong, Qin Lei, Jingwang Huang, Haoyang Zeng, Xinyu Zhou, Xin Xiao, Kaiwen Wei |
| 2026 | ACL | From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation. | Kaiwen Wei, Kejun He, Xiaomian Kang, Jie Zhang, Ymyang, Li Jin, Zhenyang Li, Jiang Zhong, Richard He Bai, Junnan Zhu |
| 2026 | ACL | Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents. | Yuming Yang, Jiang Zhong, Li Jin, Xiao Sun, Jingwang Huang, Jinpeng Gao, Qing Liu, Yang Bai, Jingyuan Zhang, Rui Jiang, Qin Lei, Kaiwen Wei |
| 2026 | WWW | CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation. | Kaiwen Wei, Xiao Liu, Jie Zhang, Zijian Wang, Ruida Liu, Yuming Yang, Xin Xiao, Xiao Sun, Haoyang Zeng, Changzai Pan, Yidan Zhang, Jiang Zhong, Peijin Wang, Yingchao Feng |
| 2025 | ACL | Latent Distribution Decouple for Uncertain-Aware Multimodal Multi-label Emotion Recognition. | Jingwang Huang, Jiang Zhong, Qin Lei, Gaojinpeng Gaojinpeng, Ymyang, Sirui Wang, PeiguangLi PeiguangLi, Kaiwen Wei |
| 2025 | ACL | SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization. | Nayu Liu, Junnan Zhu, Yiming Ma, Zhicong Lu, Wenlei Xu, Yong Yang, Jiang Zhong, Kaiwen Wei |
| 2025 | ACL | P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts. | Kaiwen Wei, Jie Yao, Jiang Zhong, Yangyang Kang, Jingyuan Zhang, Changlong Sun, Xin Zhang, Fengmao Lv, Li Jin |
| 2025 | ACL | FedLEKE: Federated Locate-then-Edit Knowledge Editing for Multi-Client Collaboration. | Zongkai Zhao, Guozeng Xu, Xiuhua Li, Kaiwen Wei, Jiang Zhong |
| 2025 | ADMA | ChartGen-Agent: A Three-Stage Framework for Automated High-Quality Chart Generation. | Rui Jiang, Shenrong Wu, Zhehao Wu, Zhenjie Han, Jiang Zhong |
| 2025 | ASPLOS | DynaX: Sparse Attention Acceleration with Dynamic X: M Fine-Grained Structured Pruning. | Xiao Xiong, Zhaorui Chen, Yue Liang, Minghao Tian, Jiaxing Shang, Jiang Zhong, Dajiang Liu |
| 2025 | COLING | Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models. | Kaiwen Wei, Jiang Zhong, Hongzhi Zhang, Fuzheng Zhang, Di Zhang, Li Jin, Yue Yu, Jingyuan Zhang |
| 2025 | EMNLP | T2R-BENCH: A Benchmark for Real World Table-to-Report Task. | Jie Zhang, Changzai Pan, Sishi Xiong, Kaiwen Wei, Yu Zhao, Xiangyu Li, Jiaxin Peng, Xiaoyan Gu, Jian Yang, Wenhan Chang, Zhenhe Wu, Jiang Zhong, Shuangyong Song, Xuelong Li |
| 2025 | ICASSP | EEG Decoding and Visual Reconstruction via 3D Geometric with Nonstationarity Modelling. | Xin Xiao, Kaiwen Wei, Jiang Zhong, Xuekai Wei, Jielu Yan |
| 2024 | AAAI | Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction. | Wei Chen, Yuxuan Liu, Zhao Zhang, Fuzhen Zhuang, Jiang Zhong |
| 2024 | APWEB | Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. | Chen Wang, Cong Hu, Jiang Zhong, Huawen Liu, Qi Li, Donghua Yu, Xue Li |
| 2024 | APWEB | Enhancing Continual Relation Extraction with Concept Aware Dynamic Memory Optimization. | Tianyu Zhou, Rongzhen Li, Jiang Zhong, Qizhu Dai, Yuxuan Liu, Xue Li |
| 2024 | DASFAA | Streaming Trajectory Segmentation Based on Stay-Point Detection. | Yangyang Sun, Fei Meng, Ruiyuan Li, Yongxin Tang, Chao Chen, Jiang Zhong |
| 2024 | ECCV | Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. | Qin Lei, Jiang Zhong, Qizhu Dai |
| 2024 | HPCA | E2EMap: End-to-End Reinforcement Learning for CGRA Compilation via Reverse Mapping. | Dajiang Liu, Yuxin Xia, Jiaxing Shang, Jiang Zhong, Peng Ouyang, Shouyi Yin |
| 2024 | ICASSP | Facilitating Message Passing with Potential Links for Knowledge Graph Completion. | Hong Yin, Jiang Zhong, Rongzhen Li, Jiaqi Wang, Chen Wang, Qizhu Dai, Xue Li |
| 2023 | ADMA | Fine-Grained Knowledge Enhancement for Empathetic Dialogue Generation. | Ai Chen, Jiang Zhong, Qizhu Dai, Chen Wang, Rongzhen Li |
| 2023 | ADMA | Adaptive Prototype Network with Common and Discriminative Representation Learning for Few-Shot Relation Extraction. | Wenyue Hu, Jiang Zhong, Yang Xia, Yangmei Zhou, Rongzhen Li |
| 2023 | ADMA | Implicit Sentiment Extraction Using Structure Generation with Sentiment Instructor Prompt Template. | Yuxuan Liu, Jiang Zhong |
| 2023 | ADMA | Multi-grained Logical Graph Network for Reasoning-Based Machine Reading Comprehension. | Jiaqi Wang, Jiang Zhong, Hong Yin, Chen Wang, Qizhu Dai, Yang Xia, Rongzhen Li |
| 2023 | DAC | DARIC: A Data Reuse-Friendly CGRA for Parallel Data Access via Elastic FIFOs. | Dajiang Liu, Di Mou, Rong Zhu, Yan Zhuang, Jiaxing Shang, Jiang Zhong, Shouyi Yin |
| 2023 | ECAI | Enhancing Document-Level Relation Extraction with Relation-Specific Entity Representation and Evidence Sentence Augmentation. | Qizhu Dai, Jiang Zhong, Wei Zhu, Chen Wang, Hong Yin, Qin Lei, Xue Li, Rongzhen Li |
| 2023 | ECAI | Deep Interactions-Boosted Embeddings for Link Prediction on Knowledge Graph. | Hong Yin, Jiang Zhong, Qizhu Dai |
| 2023 | ICASSP | Commdre: Document-Level Relation Extraction with Self-Supervised Commonsense Learning. | Rongzhen Li, Jiang Zhong, Zhongxuan Xue, Qizhu Dai, Chen Wang, Xue Li |
| 2023 | ICASSP | PRRD: Pixel-Region Relation Distillation For Efficient Semantic Segmentation. | Chen Wang, Jiang Zhong, Qizhu Dai, Yafei Qi, Rongzhen Li, Qin Lei, Bin Fang, Xue Li |
| 2023 | SOSP | PVM: Efficient Shadow Paging for Deploying Secure Containers in Cloud-native Environment. | Hang Huang, Jiangshan Lai, Jia Rao, Hui Lu, Wenlong Hou, Hang Su, Quan Xu, Jiang Zhong, Jiahao Zeng, Xu Wang, Zhengyu He, Weidong Han, Jiang Liu, Tao Ma, Song Wu |
| 2022 | CLOUD | Workload consolidation in alibaba clusters: the good, the bad, and the ugly. | Yongkang Zhang, Yinghao Yu, Wei Wang, Qiukai Chen, Jie Wu, Zuowei Zhang, Jiang Zhong, Tianchen Ding, Qizhen Weng, Lingyun Yang, Cheng Wang, Jian He, Guodong Yang, Liping Zhang |
| 2022 | CSCWD | Research on Vehicle Loading Path Optimization based on Hard Time Window Constraint. | Xiaojun Zheng, Qixian Wu, Jiang Zhong |
| 2022 | KSEM | Prompt-Based Self-training Framework for Few-Shot Named Entity Recognition. | Ganghong Huang, Jiang Zhong, Chen Wang, Qizhu Dai, Rongzhen Li |
| 2022 | KSEM | CorefDRE: Coref-Aware Document-Level Relation Extraction. | Zhongxuan Xue, Jiang Zhong, Qizhu Dai, Rongzhen Li |
| 2022 | PRICAI | ICDT: Incremental Context Guided Deliberation Transformer for Image Captioning. | Xinyi Lai, Yufeng Lyu, Jiang Zhong, Chen Wang, Qizhu Dai, Gang Li |
| 2022 | SEKE | AESPrompt: Self-supervised Constraints for Automated Essay Scoring with Prompt Tuning. | Qiuyu Tao, Jiang Zhong, Rongzhen Li |
| 2022 | SEKE | Exploring Relevance and Coherence for Automated Text Scoring using Multi-task Learning. | Yupin Yang, Jiang Zhong, Chen Wang, Qing Li |
| 2021 | CSCWD | Design of Virtual Intelligent Parking Lot System Based on Signal Request Mechanism. | Shiduo Ning, Jiang Zhong, Xiaojun Zheng |
| 2021 | ECIR | DSMER: A Deep Semantic Matching Based Framework for Named Entity Recognition. | Yufeng Lyu, Jiang Zhong |
| 2021 | ECIR | GCE: Global Contextual Information for Knowledge Graph Embedding. | Chen Wang, Jiang Zhong |
| 2021 | ICWE | Automated Essay Scoring via Example-Based Learning. | Yupin Yang, Jiang Zhong |
| 2021 | KSEM | Chinese Relation Extraction with Flat-Lattice Encoding and Pretrain-Transfer Strategy. | Xiuyue Zeng, Jiang Zhong, Chen Wang, Cong Hu |
| 2020 | ECIR | A Mixed Semantic Features Model for Chinese NER with Characters and Words. | Ning Chang, Jiang Zhong, Qing Li, Jiang Zhu |
| 2019 | CSCWD | Design of Optimization Platform for Energy Absorption Structure of High Speed Train. | Xiaojun Zheng, Jiang Zhong, Yanbin Sun, Yanjun Shi, Zhizheng Xu, Hao Sun |
| 2019 | DASFAA | Enhancing Network Embedding with Implicit Clustering. | Qi Li, Jiang Zhong, Qing Li, Zehong Cao, Chen Wang |
| 2019 | ICA3PP | DETER: Streaming Graph Partitioning via Combined Degree and Cluster Information. | Cong Hu, Jiang Zhong, Qi Li, Qing Li |
| 2018 | ADMA | A New Graph-Partitioning Algorithm for Large-Scale Knowledge Graph. | Jiang Zhong, Chen Wang, Qi Li, Qing Li |
| 2017 | ISPA | Streaming Graph Partitioning for Large Graphs with Limited Memory. | Qi Li, Jiang Zhong, Linjiang Zheng, Xue Li |
| 2016 | ADMA | EDAHT: An Expertise Degree Analysis Model for Mass Comments in the E-Commerce System. | Jiang Zhong, You Xiong, Weili Guo, Jingyi Xie |
| 2016 | PAKDD | Classification with Quantification for Air Quality Monitoring. | Sanad Al-Maskari, Eve Blisle, Xue Li, Sbastien Le Digabel, Amin Nawahda, Jiang Zhong |
| 2014 | WISE | Predicting Elections from Social Networks Based on Sub-event Detection and Sentiment Analysis. | Sayan Unankard, Xue Li, Mohamed A. Sharaf, Jiang Zhong, Xueming Li |
| 2011 | ISNN | Web Recommendation Based on Back Propagation Neural Networks. | Jiang Zhong, Shitao Deng, Yifeng Cheng |
| 2010 | ADMA | A Novel Clustering Algorithm Based on Gravity and Cluster Merging. | Jiang Zhong, Longhai Liu, Zhiguo Li |
| 2010 | ISNN | A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis. | Jiang Zhong, Xiongbing Deng, Jie Liu, Xue Li, Chuanwei Liang |
| 2009 | ISNN | An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier. | Yong Feng, Zhongfu Wu, Jiang Zhong, Chunxiao Ye, Kaigui Wu |
| 2007 | ICNC | Artificial Immune Networks Based Radial Basic Function Neural Networks Construction Algorithm and Application. | Jiang Zhong, Yong Feng, Chunxiao Ye, Ling Ou, Zhiguo Li |
| 2007 | ISNN | Network Anomaly Detection Based on DSOM and ACO Clustering. | Yong Feng, Jiang Zhong, Zhongyang Xiong, Chunxiao Ye, Kaigui Wu |
| 2006 | ISDA | Clustering based on Self-Organizing Ant Colony Networks with Application to Intrusion Detection. | Yong Feng, Jiang Zhong, Chunxiao Ye, Zhongfu Wu |
| 2006 | ISDA | Intrusion Detection Based on Adaptive RBF Neural Network. | Jiang Zhong, Zhiguo Li, Yong Feng, Chunxiao Ye |
| 2006 | ISNN | Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network. | Jiang Zhong, Chunxiao Ye, Yong Feng, Ying Zhou, Zhongfu Wu |
| 2005 | ICNC | A Two-Phase Clustering Algorithm Based on Artificial Immune Network. | Jiang Zhong, Zhongfu Wu, Kaigui Wu, Ling Ou, Zheng-Zhou Zhu, Ying Zhou |