Ningyu Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
123
Venues
20
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
123 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ReCode: Updating Code API Knowledge with Reinforcement Learning. | Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang |
| 2026 | AAAI | Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study. | Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Ningyu Zhang, Huajun Chen |
| 2026 | ACL | Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation. | Zhen Bi, Zhenlin Hu, Xueshu Chen, Mingyang Chen, Cheng Deng, Yida Xue, Zhen Wang, Qing Shen, Ningyu Zhang, Jungang Lou |
| 2026 | ACL | Towards General Agentic Intelligence via Environment Scaling. | Runnan Fang, Shihao Cai, Baixuan Li, Jialong Wu, Guangyu Li, Wenbiao Yin, Xinyu Wang, Xiaobin Wang, Liangcai Su, Zhen Zhang, Shibin Wu, Zhengwei Tao, Yong Jiang, Pengjun Xie, Ningyu Zhang, Fei Huang, Wentao Zhang, Jingren Zhou |
| 2026 | ACL | Memp: Exploring Agent Procedural Memory. | Runnan Fang, Yuan Liang, Xiaobin Wang, Jialong Wu, Shuofei Qiao, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2026 | ACL | What Makes AI Research Replicable? Executable Knowledge Graphs as Scientific Knowledge Representations. | Yujie Luo, Zhuoyun Yu, Xuehai Wang, Yuqi Zhu, Ningyu Zhang, Lanning Wei, Lun Du, Da Zheng, Huajun Chen |
| 2026 | ACL | KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality. | Baochang Ren, Shuofei Qiao, Ningyu Zhang, Da Zheng, Huajun Chen |
| 2026 | ACL | U-Fold: Dynamic Intent-Aware Context Folding for User-Centric Agents. | Jin Su, Runnan Fang, Yeqiu Li, Xiaobin Wang, Shihao Cai, Pengjun Xie, Ningyu Zhang, Fajie Yuan |
| 2026 | ACL | Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics. | Ziwen Xu, Chenyan Wu, Hengyu Sun, Haiwen Hong, Mengru Wang, Yunzhi Yao, Longtao Huang, Hui Xue, Shumin Deng, Zhixuan Chu, Huajun Chen, Ningyu Zhang |
| 2026 | ACL | How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities. | Ziwen Xu, Kewei Xu, Haoming Xu, Haiwen Hong, Longtao Huang, Hui Xue, Ningyu Zhang, Yongliang Shen, Guozhou Zheng, Huajun Chen, Shumin Deng |
| 2026 | ACL | Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency. | Haoming Xu, Ningyuan Zhao, Yunzhi Yao, Weihong Xu, Hongru Wang, Xinle Deng, Shumin Deng, Jeff Z. Pan, Huajun Chen, Ningyu Zhang |
| 2026 | ACL | Can We Predict Before Executing Machine Learning Agents? | Jingsheng Zheng, Jintian Zhang, Yujie Luo, Yuren Mao, Yunjun Gao, Lun Du, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | CKnowEdit: A New Chinese Knowledge Editing Dataset for Linguistics, Facts, and Logic Error Correction in LLMs. | Jizhan Fang, Tianhe Lu, Yunzhi Yao, Ziyan Jiang, Xin Xu, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement. | Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ACL | How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training. | Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin, Jiacheng Sun, Shumin Deng, Zhenguo Li, Huajun Chen |
| 2025 | ACL | Agentic Knowledgeable Self-awareness. | Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ACL | Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms. | Mengru Wang, Ziwen Xu, Shengyu Mao, Shumin Deng, Zhaopeng Tu, Huajun Chen, Ningyu Zhang |
| 2025 | ACL | ReLearn: Unlearning via Learning for Large Language Models. | Haoming Xu, Ningyuan Zhao, Liming Yang, Sendong Zhao, Shumin Deng, Mengru Wang, Bryan Hooi, Nay Oo, Huajun Chen, Ningyu Zhang |
| 2025 | COLING | Knowledge Graph Pooling and Unpooling for Concept Abstraction. | Juan Li, Wen Zhang, Zhiqiang Liu, Mingchen Tu, Mingyang Chen, Ningyu Zhang, Shijian Li |
| 2025 | EMNLP | Exploring Model Kinship for Merging Large Language Models. | Yedi Hu, Yunzhi Yao, Ningyu Zhang, Huajun Chen, Shumin Deng |
| 2025 | EMNLP | OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking. | Zekun Xi, Wenbiao Yin, Jizhan Fang, Jialong Wu, Runnan Fang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2025 | EMNLP | EasyEdit2: An Easy-to-use Steering Framework for Editing Large Language Models. | Ziwen Xu, Shuxun Wang, Kewei Xu, Haoming Xu, Mengru Wang, Xinle Deng, Yunzhi Yao, Guozhou Zheng, Huajun Chen, Ningyu Zhang |
| 2025 | EMNLP | CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners. | Yunzhi Yao, Jizhan Fang, Jia-Chen Gu, Ningyu Zhang, Shumin Deng, Huajun Chen, Nanyun Peng |
| 2025 | EMNLP | LightThinker: Thinking Step-by-Step Compression. | Jintian Zhang, Yuqi Zhu, Mengshu Sun, Yujie Luo, Shuofei Qiao, Lun Du, Da Zheng, Huajun Chen, Ningyu Zhang |
| 2025 | ICLR | Benchmarking Agentic Workflow Generation. | Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen |
| 2025 | ICLR | MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation. | Chenxi Wang, Xiang Chen, Ningyu Zhang, Bozhong Tian, Haoming Xu, Shumin Deng, Huajun Chen |
| 2025 | ICML | AnyEdit: Edit Any Knowledge Encoded in Language Models. | Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2025 | NAACL | Constraining Sequential Model Editing with Editing Anchor Compression. | Hao-Xiang Xu, Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu |
| 2025 | NAACL | KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents. | Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang |
| 2025 | WWW | OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. | Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen |
| 2024 | AAAI | Editing Language Model-Based Knowledge Graph Embeddings. | Siyuan Cheng, Ningyu Zhang, Bozhong Tian, Xi Chen, Qingbin Liu, Huajun Chen |
| 2024 | AAAI | When Do Program-of-Thought Works for Reasoning? | Zhen Bi, Ningyu Zhang, Yinuo Jiang, Shumin Deng, Guozhou Zheng, Huajun Chen |
| 2024 | AAAI | Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration. | Zhihao Wang, Yulin Zhou, Ningyu Zhang, Xiaosong Yang, Jun Xiao, Zhao Wang |
| 2024 | AAAI | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. | Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | ACL | EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models. | Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen |
| 2024 | ACL | OceanGPT: A Large Language Model for Ocean Science Tasks. | Zhen Bi, Ningyu Zhang, Yida Xue, Yixin Ou, Daxiong Ji, Guozhou Zheng, Huajun Chen |
| 2024 | ACL | Unified Hallucination Detection for Multimodal Large Language Models. | Xiang Chen, Chenxi Wang, Yida Xue, Ningyu Zhang, Xiaoyan Yang, Qiang Li, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen |
| 2024 | ACL | IEPile: Unearthing Large Scale Schema-Conditioned Information Extraction Corpus. | Honghao Gui, Lin Yuan, Hongbin Ye, Ningyu Zhang, Mengshu Sun, Lei Liang, Huajun Chen |
| 2024 | ACL | EasyInstruct: An Easy-to-use Instruction Processing Framework for Large Language Models. | Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Runnan Fang, Lei Li, Zhen Bi, Guozhou Zheng, Huajun Chen |
| 2024 | ACL | AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning. | Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen |
| 2024 | ACL | Detoxifying Large Language Models via Knowledge Editing. | Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, Huajun Chen |
| 2024 | ACL | Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View. | Jintian Zhang, Xin Xu, Ningyu Zhang, Ruibo Liu, Bryan Hooi, Shumin Deng |
| 2024 | EMNLP | HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation. | Chuancheng Lv, Lei Li, Shitou Zhang, Gang Chen, Fanchao Qi, Ningyu Zhang, Hai-Tao Zheng |
| 2024 | EMNLP | RaFe: Ranking Feedback Improves Query Rewriting for RAG. | Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models. | Bozhong Tian, Xiaozhuan Liang, Siyuan Cheng, Qingbin Liu, Mengru Wang, Dianbo Sui, Xi Chen, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | Editing Conceptual Knowledge for Large Language Models. | Xiaohan Wang, Shengyu Mao, Shumin Deng, Yunzhi Yao, Yue Shen, Lei Liang, Jinjie Gu, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | Knowledge Mechanisms in Large Language Models: A Survey and Perspective. | Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2024 | EMNLP | OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. | Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang |
| 2024 | ICLR | Tool-Augmented Reward Modeling. | Lei Li, Yekun Chai, Shuohuan Wang, Yu Sun, Hao Tian, Ningyu Zhang, Hua Wu |
| 2024 | ICLR | Domain-Agnostic Molecular Generation with Chemical Feedback. | Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan, Huajun Chen |
| 2024 | ICLR | Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models. | Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen |
| 2024 | ICLR | Unveiling the Pitfalls of Knowledge Editing for Large Language Models. | Zhoubo Li, Ningyu Zhang, Yunzhi Yao, Mengru Wang, Xi Chen, Huajun Chen |
| 2024 | ICML | Neighboring Perturbations of Knowledge Editing on Large Language Models. | Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang, Jia-Chen Gu |
| 2024 | IJCAI | InstructEdit: Instruction-Based Knowledge Editing for Large Language Models. | Ningyu Zhang, Bozhong Tian, Siyuan Cheng, Xiaozhuan Liang, Yi Hu, Kouying Xue, Yanjie Gou, Xi Chen, Huajun Chen |
| 2024 | IJCAI | FactCHD: Benchmarking Fact-Conflicting Hallucination Detection. | Xiang Chen, Duanzheng Song, Honghao Gui, Chenxi Wang, Ningyu Zhang, Yong Jiang, Fei Huang, Chengfei Lyu, Dan Zhang, Huajun Chen |
| 2024 | IJCAI | Continual Multimodal Knowledge Graph Construction. | Xiang Chen, Jingtian Zhang, Xiaohan Wang, Ningyu Zhang, Tongtong Wu, Yuxiang Wang, Yongheng Wang, Huajun Chen |
| 2024 | KSEM | Knowledge-Informed Molecular Learning: A Survey on Paradigm Transfer. | Yin Fang, Zhuo Chen, Xiaohui Fan, Ningyu Zhang, Huajun Chen |
| 2024 | NAACL | Making Language Models Better Tool Learners with Execution Feedback. | Shuofei Qiao, Honghao Gui, Chengfei Lv, Qianghuai Jia, Huajun Chen, Ningyu Zhang |
| 2024 | VLDB | OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. | Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen |
| 2023 | AAAI | Multi-Modal Protein Knowledge Graph Construction and Applications (Student Abstract). | Siyuan Cheng, Xiaozhuan Liang, Zhen Bi, Huajun Chen, Ningyu Zhang |
| 2023 | AAAI | On Analyzing the Role of Image for Visual-Enhanced Relation Extraction (Student Abstract). | Lei Li, Xiang Chen, Shuofei Qiao, Feiyu Xiong, Huajun Chen, Ningyu Zhang |
| 2023 | ACL | SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres. | Shumin Deng, Shengyu Mao, Ningyu Zhang, Bryan Hooi |
| 2023 | ACL | Class Lifelong Learning for Intent Detection via Structure Consolidation Networks. | Qingbin Liu, Yanchao Hao, Xiaolong Liu, Bo Li, Dianbo Sui, Shizhu He, Kang Liu, Jun Zhao, Xi Chen, Ningyu Zhang, Jiaoyan Chen |
| 2023 | ACL | Reasoning with Language Model Prompting: A Survey. | Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2023 | EMNLP | Can We Edit Multimodal Large Language Models? | Siyuan Cheng, Bozhong Tian, Qingbin Liu, Xi Chen, Yongheng Wang, Huajun Chen, Ningyu Zhang |
| 2023 | EMNLP | Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning. | Qingbin Liu, Yin Kung, Yanchao Hao, Dianbo Sui, Siyuan Cheng, Xi Chen, Ningyu Zhang, Jiaoyan Chen |
| 2023 | EMNLP | Knowledge Rumination for Pre-trained Language Models. | Yunzhi Yao, Peng Wang, Shengyu Mao, Chuanqi Tan, Fei Huang, Huajun Chen, Ningyu Zhang |
| 2023 | EMNLP | Editing Large Language Models: Problems, Methods, and Opportunities. | Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, Ningyu Zhang |
| 2023 | EMNLP | Schema-adaptable Knowledge Graph Construction. | Hongbin Ye, Honghao Gui, Xin Xu, Xi Chen, Huajun Chen, Ningyu Zhang |
| 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 | ICLR | Multimodal Analogical Reasoning over Knowledge Graphs. | Ningyu Zhang, Lei Li, Xiang Chen, Xiaozhuan Liang, Shumin Deng, Huajun Chen |
| 2023 | IJCAI | One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER. | Xiang Chen, Lei Li, Shuofei Qiao, Ningyu Zhang, Chuanqi Tan, Yong Jiang, Fei Huang, Huajun Chen |
| 2023 | IJCNN | CAMVR: Context-Adaptive Multi-View Representation Learning for Dense Retrieval. | Zhilin Liao, Xiangting Hou, Dongfang Lou, Yi-Ming Chen, Ningyu Zhang |
| 2023 | WWW | A Concept Knowledge Graph for User Next Intent Prediction at Alipay. | Yacheng He, Qianghuai Jia, Lin Yuan, Ruopeng Li, Yixin Ou, Ningyu Zhang |
| 2023 | SIGIR | Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction. | Yunzhi Yao, Shengyu Mao, Ningyu Zhang, Xiang Chen, Shumin Deng, Xi Chen, Huajun Chen |
| 2022 | AAAI | Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract). | Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen |
| 2022 | ACL | CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. | Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen |
| 2022 | COLING | Finding Influential Instances for Distantly Supervised Relation Extraction. | Zifeng Wang, Rui Wen, Xi Chen, Shao-Lun Huang, Ningyu Zhang, Yefeng Zheng |
| 2022 | COLING | LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting. | Xiang Chen, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen, Ningyu Zhang |
| 2022 | EMNLP | Contrastive Demonstration Tuning for Pre-trained Language Models. | Xiaozhuan Liang, Ningyu Zhang, Siyuan Cheng, Zhenru Zhang, Chuanqi Tan, Huajun Chen |
| 2022 | EMNLP | Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce. | Yincen Qu, Ningyu Zhang, Hui Chen, Zelin Dai, Chengming Wang, Xiaoyu Wang, Qiang Chen, Huajun Chen |
| 2022 | EMNLP | Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study. | Xin Xu, Xiang Chen, Ningyu Zhang, Xin Xie, Xi Chen, Huajun Chen |
| 2022 | EMNLP | Generative Knowledge Graph Construction: A Review. | Hongbin Ye, Ningyu Zhang, Hui Chen, Huajun Chen |
| 2022 | EMNLP | DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population. | Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, Lei Li |
| 2022 | ICLR | OntoProtein: Protein Pretraining With Gene Ontology Embedding. | Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, Huajun Chen |
| 2022 | ICLR | Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners. | Ningyu Zhang, Luoqiu Li, Xiang Chen, Shumin Deng, Zhen Bi, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2022 | NAACL | Good Visual Guidance Make A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction. | Xiang Chen, Ningyu Zhang, Lei Li, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | WWW | KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction. | Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | WWW | From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer. | Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen |
| 2022 | WWW | Ontology-enhanced Prompt-tuning for Few-shot Learning. | Hongbin Ye, Ningyu Zhang, Shumin Deng, Xiang Chen, Hui Chen, Feiyu Xiong, Xi Chen, Huajun Chen |
| 2022 | SIGIR | Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning. | Xiang Chen, Lei Li, Ningyu Zhang, Chuanqi Tan, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion. | Xiang Chen, Ningyu Zhang, Lei Li, Shumin Deng, Chuanqi Tan, Changliang Xu, Fei Huang, Luo Si, Huajun Chen |
| 2022 | SIGIR | NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs. | Wen Zhang, Xiangnan Chen, Zhen Yao, Mingyang Chen, Yushan Zhu, Hongtao Yu, Yufeng Huang, Yajing Xu, Ningyu Zhang, Zezhong Xu, Zonggang Yuan, Feiyu Xiong, Huajun Chen |
| 2021 | AAAI | Contrastive Triple Extraction with Generative Transformer. | Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen |
| 2021 | ACL | OntoED: Low-resource Event Detection with Ontology Embedding. | Shumin Deng, Ningyu Zhang, Luoqiu Li, Hui Chen, Huaixiao Tou, Mosha Chen, Fei Huang, Huajun Chen |
| 2021 | ACL | MLBiNet: A Cross-Sentence Collective Event Detection Network. | Dongfang Lou, Zhilin Liao, Shumin Deng, Ningyu Zhang, Huajun Chen |
| 2021 | ACL | PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction. | Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Xu Ming, Yefeng Zheng |
| 2021 | IJCAI | Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding. | Zhiyuan Qi, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Yuejia Xiang, Ningyu Zhang, Yefeng Zheng |
| 2021 | IJCAI | Document-level Relation Extraction as Semantic Segmentation. | Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, Huajun Chen |
| 2021 | IJCAI | Drop Redundant, Shrink Irrelevant: Selective Knowledge Injection for Language Pretraining. | Ningyu Zhang, Shumin Deng, Xu Cheng, Xi Chen, Yichi Zhang, Wei Zhang, Huajun Chen |
| 2021 | KDD | AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. | Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen |
| 2021 | NAACL | Noisy-Labeled NER with Confidence Estimation. | Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao |
| 2021 | NAACL | Field Embedding: A Unified Grain-Based Framework for Word Representation. | Junjie Luo, Xi Chen, Jichao Sun, Yuejia Xiang, Ningyu Zhang, Xiang Wan |
| 2020 | AAAI | When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract). | Shumin Deng, Ningyu Zhang, Zhanlin Sun, Jiaoyan Chen, Huajun Chen |
| 2020 | AIED | Modeling the Relationships Between Basic and Achievement Emotions in Computer-Based Learning Environments. | Anabil Munshi, Shitanshu Mishra, Ningyu Zhang, Luc Paquette, Jaclyn Ocumpaugh, Ryan S. Baker, Gautam Biswas |
| 2020 | AIED | Evaluating Student Learning in a Synchronous, Collaborative Programming Environment Through Log-Based Analysis of Projects. | Bernard Yett, Nicole Hutchins, Caitlin Snyder, Ningyu Zhang, Shitanshu Mishra, Gautam Biswas |
| 2020 | AIED | Studying the Interactions Between Science, Engineering, and Computational Thinking in a Learning-by-Modeling Environment. | Ningyu Zhang, Gautam Biswas, Kevin W. McElhaney, Satabdi Basu, Elizabeth A. McBride, Jennifer L. Chiu |
| 2020 | COLING | Logic-guided Semantic Representation Learning for Zero-Shot Relation Classification. | Juan Li, Ruoxu Wang, Ningyu Zhang, Wen Zhang, Fan Yang, Huajun Chen |
| 2020 | COLING | Bridging Text and Knowledge with Multi-Prototype Embedding for Few-Shot Relational Triple Extraction. | Haiyang Yu, Ningyu Zhang, Shumin Deng, Hongbin Ye, Wei Zhang, Huajun Chen |
| 2020 | EMNLP | OpenUE: An Open Toolkit of Universal Extraction from Text. | Ningyu Zhang, Shumin Deng, Zhen Bi, Haiyang Yu, Jiacheng Yang, Mosha Chen, Fei Huang, Wei Zhang, Huajun Chen |
| 2020 | EMNLP | Summarizing Chinese Medical Answer with Graph Convolution Networks and Question-focused Dual Attention. | Ningyu Zhang, Shumin Deng, Juan Li, Xi Chen, Wei Zhang, Huajun Chen |
| 2020 | ICCE | Using Log and Discourse Analysis to Improve Understanding of Collaborative Programming. | Bernard Yett, Caitlin Snyder, Ningyu Zhang, Nicole Hutchins, Shitanshu Mishra, Gautam Biswas |
| 2020 | ISPA | Joint Extraction of Triple Knowledge Based on Relation Priority. | Chuanzhi Zhuang, Ningyu Zhang, Xiaolong Jin, Zhong Li, Shumin Deng, Huajun Chen |
| 2020 | WWW | Relation Adversarial Network for Low Resource Knowledge Graph Completion. | Ningyu Zhang, Shumin Deng, Zhanlin Sun, Jiaoyan Chen, Wei Zhang, Huajun Chen |
| 2020 | WSDM | Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection. | Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, Huajun Chen |
| 2019 | AIED | Analyzing Students' Design Solutions in an NGSS-Aligned Earth Sciences Curriculum. | Ningyu Zhang, Gautam Biswas, Jennifer L. Chiu, Kevin W. McElhaney |
| 2019 | NAACL | Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks. | Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei Zhang, Huajun Chen |
| 2019 | WWW | Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network. | Shumin Deng, Ningyu Zhang, Wen Zhang, Jiaoyan Chen, Jeff Z. Pan, Huajun Chen |
| 2018 | AIED | Understanding Students' Problem-Solving Strategies in a Synergistic Learning-by-Modeling Environment. | Ningyu Zhang, Gautam Biswas |
| 2018 | EMNLP | Attention-Based Capsule Network with Dynamic Routing for Relation Extraction. | Ningyu Zhang, Shumin Deng, Zhanling Sun, Xi Chen, Wei Zhang, Huajun Chen |
| 2017 | AIED | Characterizing Students' Learning Behaviors Using Unsupervised Learning Methods. | Ningyu Zhang, Gautam Biswas, Yi Dong |
| 2014 | WWW | Big smog meets web science: smog disaster analysis based on social media and device data on the web. | Jiaoyan Chen, Huajun Chen, Guozhou Zheng, Jeff Z. Pan, Honghan Wu, Ningyu Zhang |
| 2014 | TrustCom | HBaseSpatial: A Scalable Spatial Data Storage Based on HBase. | Ningyu Zhang, Guozhou Zheng, Huajun Chen, Jiaoyan Chen, Xi Chen |