Meng Jiang

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 174

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

AAAI

Publications

Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
Machine Unlearning in Generative AI: A Survey. CoRR (2024)
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. CoRR (2024)
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
Large Language Models Can Self-Correct with Minimal Effort. CoRR (2024)
Yuwen Lu, Meng Chen, Qi Zhao, Victor V. Cox, Yang Yang, Meng Jiang, Jay Brockman, Tamara Kay, Toby Jia-Jun Li
Crepe: A Mobile Screen Data Collector Using Graph Query. CoRR (2024)
Zhaoxuan Tan, Zheyuan Liu, Meng Jiang
Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. CoRR (2024)
Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang
Rationalizing Graph Neural Networks with Data Augmentation. ACM Trans. Knowl. Discov. Data 18 (4) (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. ACL (1) (2024)
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CoRR (2024)
Ruiyang Qin, Dancheng Liu, Zheyu Yan, Zhaoxuan Tan, Zixuan Pan, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Jinjun Xiong, Yiyu Shi
Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices. CoRR (2024)
Mengzhao Jia, Zhihan Zhang, Wenhao Yu, Fangkai Jiao, Meng Jiang
Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training. CoRR (2024)
Zhenyu Wu, Chao Shen, Meng Jiang
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions. NAACL-HLT (2024)
Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
Towards Safer Large Language Models through Machine Unlearning. ACL (Findings) (2024)
Bang Nguyen, Mengxia Yu, Yun Huang, Meng Jiang
Reference-based Metrics Disprove Themselves in Question Generation. CoRR (2024)
Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh
Learning Molecular Representation in a Cell. CoRR (2024)
Meng Jiang
Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications. ACM Trans. Knowl. Discov. Data 18 (1) (2024)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. Trans. Assoc. Comput. Linguistics 11 (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR (2023)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) (2023)
Zhaoxuan Tan, Meng Jiang
User Modeling in the Era of Large Language Models: Current Research and Future Directions. IEEE Data Eng. Bull. 46 (4) (2023)
Meng Jiang, Hy Dang, Lingbo Tong
A Quantitative Review on Language Model Efficiency Research. CoRR (2023)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. ACL (Findings) (2023)
Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal
IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. EMNLP (2023)
Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang
Large Language Models are Built-in Autoregressive Search Engines. CoRR (2023)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. EACL (2023)
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
Semi-Supervised Graph Imbalanced Regression. KDD (2023)
Hy Dang, Bang Nguyen, Noah Ziems, Meng Jiang
Embedding Mental Health Discourse for Community Recommendation. CoRR (2023)
Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. KDD (2023)
Zhihan Zhang, Wenhao Yu, Zheng Ning, Mingxuan Ju, Meng Jiang
Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions. CoRR (2023)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. ICLR (2023)
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
Pre-training Language Models for Comparative Reasoning. CoRR (2023)
Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri
PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. CoRR (2023)
Daheng Wang, Zhihan Zhang, Yihong Ma, Tong Zhao, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang
Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yiren Liu, Mengxia Yu, Meng Jiang, Yun Huang
Creative Research Question Generation for Human-Computer Interaction Research. IUI Workshops (2023)
Eric Inae, Gang Liu, Meng Jiang
Motif-aware Attribute Masking for Molecular Graph Pre-training. CoRR (2023)
Daheng Wang, Tong Zhao, Wenhao Yu, Nitesh V. Chawla, Meng Jiang
Deep Multimodal Complementarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang
Pre-training Language Models for Comparative Reasoning. EMNLP (2023)
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
Improving Language Models via Plug-and-Play Retrieval Feedback. CoRR (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46 (2) (2023)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. WSDM (2023)
Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. CoRR (2022)
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Graph Rationalization with Environment-based Augmentations. KDD (2022)
Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah
Editorial: Computational Behavioral Modeling for Big User Data. Frontiers Big Data 5 (2022)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-enhanced Text Generation. ACM Comput. Surv. 54 (11s) (2022)
Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. CoRR (2022)
Meng Jiang, Taeho Jung, Ryan Karl, Tong Zhao
Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Learning from Counterfactual Links for Link Prediction. ICML (2022)
Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang
Generate rather than Retrieve: Large Language Models are Strong Context Generators. CoRR (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. CoRR (2022)
Shawn Gu, Meng Jiang, Pietro Hiram Guzzi, Tijana Milenkovic
Modeling multi-scale data via a network of networks. Bioinform. 38 (9) (2022)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. ACL (Findings) (2022)
Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. EMNLP (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. EMNLP (2022)
Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu
Knowledge-Augmented Methods for Natural Language Processing. ACL (tutorial) (2022)
Tong Zhao, Gang Liu, Stephan Günnemann, Meng Jiang
Graph Data Augmentation for Graph Machine Learning: A Survey. CoRR (2022)
Mandana Saebi, Steven Kreig, Chuxu Zhang, Meng Jiang, Tomasz Kajdanowicz, Nitesh V. Chawla
Heterogeneous relational reasoning in knowledge graphs with reinforcement learning. Inf. Fusion 88 (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) (2022)
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
Graph Rationalization with Environment-based Augmentations. CoRR (2022)
Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang
A Unified Encoder-Decoder Framework with Entity Memory. CoRR (2022)
Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR (2022)
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
Automatic Controllable Product Copywriting for E-Commerce. KDD (2022)
Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang
A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. CoRR (2022)
Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang
Counterfactual Graph Learning for Link Prediction. CoRR (2021)
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. CoRR (2021)
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. KDD (2021)
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Chuxu Zhang, Jundong Li, Meng Jiang
Data Efficient Learning on Graphs. KDD (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
Action Sequence Augmentation for Early Graph-based Anomaly Detection. CIKM (2021)
Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. ICSE (2021)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. WWW (2021)
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT (2021)
Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. ACM Trans. Intell. Syst. Technol. 12 (4) (2021)
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Guven, Meng Jiang
Technical Question Answering across Tasks and Domains. NAACL-HLT (Industry Papers) (2021)
Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu
The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. KDD (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. WWW (2021)
Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang
Injecting Entity Types into Entity-Guided Text Generation. EMNLP (1) (2021)
Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang
Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. ICDM (2021)
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Unified Representation of Twitter and Online News Using Graph and Entities. Frontiers Big Data 4 (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
Validating Label Consistency in NER Data Annotation. CoRR (2021)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. AAAI (2021)
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang
Validating Label Consistency in NER Data Annotation. Eval4NLP (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. EMNLP (1) (2021)
Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang
Sentence-Permuted Paragraph Generation. CoRR (2021)
Chuxu Zhang, Huaxiu Yao, Lu Yu, Chao Huang, Dongjin Song, Haifeng Chen, Meng Jiang, Nitesh V. Chawla
Inductive Contextual Relation Learning for Personalization. ACM Trans. Inf. Syst. 39 (3) (2021)
Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla
Few-Shot Graph Learning for Molecular Property Prediction. CoRR (2021)
Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang
TCN: Table Convolutional Network for Web Table Interpretation. CoRR (2021)
Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang
Dict-BERT: Enhancing Language Model Pre-training with Dictionary. CoRR (2021)
Tong Zhao, Bo Ni, Wenhao Yu, Meng Jiang
Early Anomaly Detection by Learning and Forecasting Behavior. CoRR (2020)
Wenhao Yu, Chenguang Zhu, Zaitang Li, Zhiting Hu, Qingyun Wang, Heng Ji, Meng Jiang
A Survey of Knowledge-Enhanced Text Generation. CoRR (2020)
Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Yashen Wang, Fei Wu, Shiqiang Yang
Treatment Effect Estimation via Differentiated Confounder Balancing and Regression. ACM Trans. Knowl. Discov. Data 14 (1) (2020)
Jennifer J. Schnur, Ryan Karl, Angélica García-Martínez, Meng Jiang, Nitesh V. Chawla
Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach. BIBM (2020)
Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla
Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network. AAAI (2020)
Bo Ni, Zhichun Guo, Jianing Li, Meng Jiang
Improving Generalizability of Fake News Detection Methods using Propensity Score Matching. CoRR (2020)
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
Data Augmentation for Graph Neural Networks. CoRR (2020)
Munira Syed, Daheng Wang, Meng Jiang, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla
Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings. ASONAM (2020)
Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Guven, Meng Jiang
A Technical Question Answering System with Transfer Learning. EMNLP (Demos) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Meng Jiang