Meng Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
149
Venues
31
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*ACL26 papers
- A*KDD24 papers
- A*EMNLP23 papers
- ACIKM11 papers
- A*AAAI9 papers
- A*WWW9 papers
- ANAACL8 papers
- A*ICDM5 papers
- CFUSION4 papers
- A*ICLR3 papers
- BWISE3 papers
- AIUI2 papers
- AMICCAI2 papers
- A*ICML2 papers
- AWSDM2 papers
- A*CHI1 paper
- CAPWEB1 paper
- A*DAC1 paper
- AEACL1 paper
- A*ICDE1 paper
- A*INFOCOM1 paper
- CIECON1 paper
- MulticonferenceICASSP1 paper
- A*ICSE1 paper
- BICIP1 paper
- ARE1 paper
- A*IJCAI1 paper
- A*SIGMOD1 paper
- BTrustCom1 paper
- BPAKDD1 paper
- NationalHCI1 paper
Papers
149 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Context Selection and Rewriting for Video-based Educational Question Generation. | Mengxia Yu, Bang Nguyen, Olivia Zino, Meng Jiang |
| 2026 | ACL | AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning. | Mengzhao Jia, Zhihan Zhang, Ignacio Cases, Zheyuan Liu, Meng Jiang, Peng Qi |
| 2026 | ACL | Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards. | Ming Li, Pei Chen, Zhenhao Zhang, Tao Yang, Xinyang Zhang, Han Li, Tianyu Cao, Ming Zeng, Zhuofeng Wu, Meng Jiang, Huasheng Li, Lihong Li, Bing Yin |
| 2026 | ACL | MTMCS-Bench: Evaluating Contextual Safety of Multimodal Large Language Models in Multi-Turn Dialogues. | Zheyuan Liu, Dongwhi Kim, Yixin Wan, Xiangchi Yuan, Zhaoxuan Tan, Fengran Mo, Meng Jiang |
| 2026 | ACL | Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society. | Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao, Nouha Dziri, Yuning Mao, Jia-Chen Gu, Jindong Gu |
| 2026 | ACL | Do LLMs Catch Their Own Mistakes? A Comprehensive Benchmark for Reflective Tool Use LLMs. | Zheyuan Liu, Liqiang Xiao, Yang Li, Hyokun Yun, Lihong Li, Chao Zhang, Meng Jiang |
| 2026 | ACL | Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning. | Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang |
| 2026 | ACL | Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation. | Rui Qi, Fengran Mo, Yufeng Chen, Xue Zhang, Shuo Wang, Hongliang Li, Jinan Xu, Meng Jiang, Jian-Yun Nie, Kaiyu Huang |
| 2026 | ACL | Instant Personalized Large Language Model Adaptation via Hypernetwork. | Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang |
| 2026 | ACL | MMTutorBench: The First Multimodal Benchmark for AI Math Tutoring. | Tengchao Yang, Sichen Guo, Mengzhao Jia, Jiaming Su, Yuanyang Liu, Zhihan Zhang, Meng Jiang |
| 2026 | CHI | Crepe: A Mobile Screen Data Collector Using Graph Query. | Yuwen Lu, Meng Chen, Qi Zhao, Victor V. Cox, Yang Yang, Meng Jiang, Jay Brockman, Tamara Kay, Toby Jia-Jun Li |
| 2025 | AAAI | Pre-trained Behavioral Model for Malicious User Prediction on Social Platform. | Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng |
| 2025 | ACL | CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang |
| 2025 | ACL | Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. | Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang |
| 2025 | ACL | Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models. | Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang, Zhaoxuan Tan, Meng Jiang |
| 2025 | ACL | Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning. | Zheyuan Liu, Suraj Maharjan, Fanyou Wu, Rahil Parikh, Belhassen Bayar, Srinivasan H. Sengamedu, Meng Jiang |
| 2025 | ACL | Optimizing Decomposition for Optimal Claim Verification. | Yining Lu, Noah Ziems, Hy Dang, Meng Jiang |
| 2025 | ACL | UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. | Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang |
| 2025 | ACL | QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation. | Bang Nguyen, Tingting Du, Mengxia Yu, Lawrence Angrave, Meng Jiang |
| 2025 | ACL | Aligning Large Language Models with Implicit Preferences from User-Generated Content. | Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang |
| 2025 | ACL | Cross-Lingual Pitfalls: Automatic Probing Cross-Lingual Weakness of Multilingual Large Language Models. | Zixiang Xu, Yanbo Wang, Yue Huang, Xiuying Chen, Jieyu Zhao, Meng Jiang, Xiangliang Zhang |
| 2025 | CIKM | An LLM-based Behavior Modeling Framework for Malicious User Detection. | Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng |
| 2025 | EMNLP | Advancing Language Models through Instruction Tuning: Recent Progress and Challenges. | Zhihan Zhang, Renze Lou, Fangkai Jiao, Wenpeng Yin, Meng Jiang |
| 2025 | EMNLP | Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. | Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang |
| 2025 | EMNLP | Pre-trained Models Perform the Best When Token Distributions Follow Zipf's Law. | Yanjin He, Qingkai Zeng, Meng Jiang |
| 2025 | EMNLP | MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media. | Wei Zhai, Nan Bai, Qing Zhao, Jianqiang Li, Fan Wang, Hongzhi Qi, Meng Jiang, Xiaoqin Wang, Bing Xiang Yang, Guanghui Fu |
| 2025 | ICLR | Learning Molecular Representation in a Cell. | Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh |
| 2025 | ICLR | Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning. | Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen |
| 2025 | IUI | Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks. | Annalisa Szymanski, Noah Ziems, Heather A. Eicher-Miller, Toby Jia-Jun Li, Meng Jiang, Ronald A. Metoyer |
| 2025 | KDD | Learning Attribute as Explicit Relation for Sequential Recommendation. | Gang Liu, Fan Yang, Yang Jiao, Alireza Bagheri Garakani, Tian Tong, Yan Gao, Meng Jiang |
| 2025 | MICCAI | Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts. | Gelei Xu, Yuying Duan, Zheyuan Liu, Xueyang Li, Meng Jiang, Michael Lemmon, Wei Jin, Yiyu Shi |
| 2025 | NAACL | Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. | Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang |
| 2025 | NAACL | Benchmarking Language Model Creativity: A Case Study on Code Generation. | Yining Lu, Dixuan Wang, Tianjian Li, Dongwei Jiang, Sanjeev Khudanpur, Meng Jiang, Daniel Khashabi |
| 2025 | NAACL | IHEval: Evaluating Language Models on Following the Instruction Hierarchy. | Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang |
| 2025 | NAACL | MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems. | Zifeng Zhu, Mengzhao Jia, Zhihan Zhang, Lang Li, Meng Jiang |
| 2025 | WISE | Interpretable Tree-Structured Deep Learning Model for Extracting Cognitive Pathways from Social Media. | Hanfei Liu, Yijing Yu, Meng Jiang, Qing Zhao, Jianqiang Li, Hongzhi Qi, Wei Zhai, Bing Xiang Yang, Xiaoqin Wang, Guanghui Fu |
| 2024 | AAAI | Get an A in Math: Progressive Rectification Prompting. | Zhenyu Wu, Meng Jiang, Chao Shen |
| 2024 | ACL | Towards Safer Large Language Models through Machine Unlearning. | Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang |
| 2024 | ACL | PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning. | Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, Wenhao Yu, Mengzhao Jia, Meng Jiang, Francesco Barbieri |
| 2024 | APWEB | TOP: Taxi Destination Prediction Based on Trajectory Knowledge Graph. | Xiao Pan, Meng Jiang, Shuhai Wang, Ning Li, Jing Sun, Zuocheng Wang |
| 2024 | CIKM | Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. | Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang |
| 2024 | CIKM | FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. | Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang |
| 2024 | DAC | Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis. | Ruiyang Qin, Jun Xia, Zhenge Jia, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi |
| 2024 | EMNLP | Large Language Models Can Self-Correct with Key Condition Verification. | Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang |
| 2024 | EMNLP | RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models. | Ziyi Kou, Shichao Pei, Meng Jiang, Xiangliang Zhang |
| 2024 | EMNLP | Reference-based Metrics Disprove Themselves in Question Generation. | Bang Nguyen, Mengxia Yu, Yun Huang, Meng Jiang |
| 2024 | EMNLP | Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. | Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang |
| 2024 | EMNLP | Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts. | Zhaoxuan Tan, Zheyuan Liu, Meng Jiang |
| 2024 | EMNLP | Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. | Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang |
| 2024 | EMNLP | TOWER: Tree Organized Weighting for Evaluating Complex Instructions. | Noah Ziems, Zhihan Zhang, Meng Jiang |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, 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, Joaquin Vanschoren, John C. 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, Yong Chen, Yue Zhao |
| 2024 | NAACL | Instructing Large Language Models to Identify and Ignore Irrelevant Conditions. | Zhenyu Wu, Chao Shen, Meng Jiang |
| 2024 | NAACL | OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models. | Yuxuan Kuang, Hai Lin, Meng Jiang |
| 2024 | WWW | Item-side Fairness of Large Language Model-based Recommendation System. | Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He |
| 2024 | WISE | The Research of Sequence Recommendation Method Based on Heterogeneous Enhanced Transformer with Multi-behavior Data. | Tengjiao Wang, Baojun Tian, Wangwang Zhang, Lu Yuan, Meng Jiang |
| 2024 | WISE | Research on Micro-videos Recommendation Method Integrating Multimodal Data and User Multi-behavior. | Wangwang Zhang, Baojun Tian, Tengjiao Wang, Lu Yuan, Meng Jiang |
| 2023 | ACL | Large Language Models are Built-in Autoregressive Search Engines. | Noah Ziems, Wenhao Yu, Zhihan Zhang, Meng Jiang |
| 2023 | EACL | A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods. | Zhihan Zhang, Wenhao Yu, Mengxia Yu, Zhichun Guo, Meng Jiang |
| 2023 | EMNLP | IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions. | Wenhao Yu, Meng Jiang, Peter Clark, Ashish Sabharwal |
| 2023 | EMNLP | Pre-training Language Models for Comparative Reasoning. | Mengxia Yu, Zhihan Zhang, Wenhao Yu, Meng Jiang |
| 2023 | EMNLP | Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. | Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang |
| 2023 | ICDE | LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. | Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He |
| 2023 | ICLR | Generate rather than Retrieve: Large Language Models are Strong Context Generators. | Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang |
| 2023 | INFOCOM | Explaining AI-Informed Network Intrusion Detection with Counterfactuals. | Gang Liu, Meng Jiang |
| 2023 | IECON | Robot-Assisted Precise Manufacturing of Tissue Spheroid in Single-Cell Scale. | Gang Huang, Yuchen Chen, Meng Jiang, Mingsi Tong |
| 2023 | IUI | Creative Research Question Generation for Human-Computer Interaction Research. | Yiren Liu, Mengxia Yu, Meng Jiang, Yun Huang |
| 2023 | KDD | Semi-Supervised Graph Imbalanced Regression. | Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang |
| 2023 | KDD | The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing. | Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang |
| 2023 | KDD | RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. | Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang |
| 2023 | WSDM | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu |
| 2022 | ACL | Dict-BERT: Enhancing Language Model Pre-training with Dictionary. | Wenhao Yu, Chenguang Zhu, Yuwei Fang, Donghan Yu, Shuohang Wang, Yichong Xu, Michael Zeng, Meng Jiang |
| 2022 | ACL | Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. | Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang |
| 2022 | ACL | Knowledge-Augmented Methods for Natural Language Processing. | Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Y. Lin, Meng Jiang, Wenhao Yu |
| 2022 | EMNLP | Retrieval Augmentation for Commonsense Reasoning: A Unified Approach. | Wenhao Yu, Chenguang Zhu, Zhihan Zhang, Shuohang Wang, Zhuosheng Zhang, Yuwei Fang, Meng Jiang |
| 2022 | EMNLP | A Unified Encoder-Decoder Framework with Entity Memory. | Zhihan Zhang, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2022 | ICASSP | Improving the Classification of Phonetic Segments from Raw Ultrasound Using Self-Supervised Learning and Hard Example Mining. | Yunsheng Xiong, Kele Xu, Meng Jiang, Liang Cheng, Yong Dou, Jinjia Wang |
| 2022 | ICML | Learning from Counterfactual Links for Link Prediction. | Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang |
| 2022 | KDD | Automatic Controllable Product Copywriting for E-Commerce. | Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2022 | KDD | Graph Rationalization with Environment-based Augmentations. | Gang Liu, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang |
| 2021 | AAAI | Data Augmentation for Graph Neural Networks. | Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | CIKM | Action Sequence Augmentation for Early Graph-based Anomaly Detection. | Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang |
| 2021 | EMNLP | Knowledge-Enriched Natural Language Generation. | Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, Nazneen Rajani |
| 2021 | EMNLP | Injecting Entity Types into Entity-Guided Text Generation. | Xiangyu Dong, Wenhao Yu, Chenguang Zhu, Meng Jiang |
| 2021 | EMNLP | Sentence-Permuted Paragraph Generation. | Wenhao Yu, Chenguang Zhu, Tong Zhao, Zhichun Guo, Meng Jiang |
| 2021 | ICDM | Dynamic Attributed Graph Prediction with Conditional Normalizing Flows. | Daheng Wang, Tong Zhao, Nitesh V. Chawla, Meng Jiang |
| 2021 | ICSE | Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. | Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang |
| 2021 | KDD | The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web. | Aude Hofleitner, Meng Jiang, Srijan Kumar, Neil Shah, Kai Shu |
| 2021 | KDD | Cross-Network Learning with Partially Aligned Graph Convolutional Networks. | Meng Jiang |
| 2021 | KDD | Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. | Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang |
| 2021 | KDD | Data Efficient Learning on Graphs. | Chuxu Zhang, Jundong Li, Meng Jiang |
| 2021 | NAACL | Technical Question Answering across Tasks and Domains. | Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Gven, Meng Jiang |
| 2021 | NAACL | Enhancing Factual Consistency of Abstractive Summarization. | Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang |
| 2021 | WWW | Few-Shot Graph Learning for Molecular Property Prediction. | Zhichun Guo, Chuxu Zhang, Wenhao Yu, John Herr, Olaf Wiest, Meng Jiang, Nitesh V. Chawla |
| 2021 | WWW | TCN: Table Convolutional Network for Web Table Interpretation. | Daheng Wang, Prashant Shiralkar, Colin Lockard, Binxuan Huang, Xin Luna Dong, Meng Jiang |
| 2020 | AAAI | Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network. | Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed W. Pitera, Jeffrey Welser, Nitesh V. Chawla |
| 2020 | AAAI | Graph Few-Shot Learning via Knowledge Transfer. | Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li |
| 2020 | AAAI | Few-Shot Knowledge Graph Completion. | Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla |
| 2020 | ACL | Crossing Variational Autoencoders for Answer Retrieval. | Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang |
| 2020 | CIKM | Error-Bounded Graph Anomaly Loss for GNNs. | Tong Zhao, Chuchen Deng, Kaifeng Yu, Tianwen Jiang, Daheng Wang, Meng Jiang |
| 2020 | CIKM | GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. | Zhichun Guo, Wenhao Yu, Chuxu Zhang, Meng Jiang, Nitesh V. Chawla |
| 2020 | EMNLP | A Technical Question Answering System with Transfer Learning. | Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Gven, Meng Jiang |
| 2020 | EMNLP | Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. | Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang |
| 2020 | EMNLP | Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases. | Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla |
| 2020 | ICIP | Robust Intensity Image Reconstruciton Based On Event Cameras. | Meng Jiang, Zhou Liu, Bishan Wang, Lei Yu, Wen Yang |
| 2020 | KDD | Scientific Text Mining and Knowledge Graphs. | Meng Jiang, Jingbo Shang |
| 2020 | KDD | Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors. | Daheng Wang, Meng Jiang, Munira Syed, Oliver Conway, Vishal Juneja, Sriram Subramanian, Nitesh V. Chawla |
| 2020 | KDD | Multi-modal Network Representation Learning. | Chuxu Zhang, Meng Jiang, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla |
| 2020 | RE | Towards Semantically Guided Traceability. | Yalin Liu, Jinfeng Lin, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang |
| 2020 | WWW | Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. | Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang |
| 2020 | WWW | Identifying Referential Intention with Heterogeneous Contexts. | Wenhao Yu, Mengxia Yu, Tong Zhao, Meng Jiang |
| 2019 | EMNLP | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | KDD | The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | KDD | TUBE: Embedding Behavior Outcomes for Predicting Success. | Daheng Wang, Tianwen Jiang, Nitesh V. Chawla, Meng Jiang |
| 2019 | MICCAI | MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation. | Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Meng Jiang, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi |
| 2019 | WWW | A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts. | Xueying Wang, Haiqiao Zhang, Qi Li, Yiyu Shi, Meng Jiang |
| 2019 | WWW | Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. | Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang |
| 2018 | CIKM | Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability. | Yukun Ding, Jinglan Liu, Jinjun Xiong, Meng Jiang, Yiyu Shi |
| 2018 | ICDM | Doc2Cube: Allocating Documents to Text Cube Without Labeled Data. | Fangbo Tao, Chao Zhang, Xiusi Chen, Meng Jiang, Tim Hanratty, Lance M. Kaplan, Jiawei Han |
| 2018 | KDD | TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. | Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han |
| 2018 | KDD | Multi-Type Itemset Embedding for Learning Behavior Success. | Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla |
| 2018 | KDD | TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering. | Chao Zhang, Fangbo Tao, Xiusi Chen, Jiaming Shen, Meng Jiang, Brian M. Sadler, Michelle Vanni, Jiawei Han |
| 2018 | WSDM | MIS2: Misinformation and Misbehavior Mining on the Web. | Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec |
| 2017 | AAAI | Treatment Effect Estimation with Data-Driven Variable Decomposition. | Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang |
| 2017 | ACL | Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. | Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han |
| 2017 | FUSION | Distributed sensor fusion for RFS density with consideration of limited sensing ability. | Wei Yi, Meng Jiang, Suqi Li, Bailu Wang |
| 2017 | IJCAI | ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data. | Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai |
| 2017 | KDD | MetaPAD: Meta Pattern Discovery from Massive Text Corpora. | Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M. Kaplan, Timothy P. Hanratty, Jiawei Han |
| 2017 | KDD | Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing. | Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang |
| 2017 | WWW | Constructing Structured Information Networks from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2017 | SIGMOD | Building Structured Databases of Factual Knowledge from Massive Text Corpora. | Xiang Ren, Meng Jiang, Jingbo Shang, Jiawei Han |
| 2016 | AAAI | Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds. | Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang |
| 2016 | CIKM | Catching Social Media Advertisers with Strategy Analysis. | Meng Jiang |
| 2016 | FUSION | Adaptive Vo-Vo filter for maneuvering targets with time-varying dynamics. | Meng Jiang, Wei Yi, Reza Hoseinnezhad, Lingjiang Kong |
| 2016 | FUSION | Distributed multi-sensor fusion using generalized multi-bernoulli densities. | Meng Jiang, Wei Yi, Reza Hoseinnezhad, Lingjiang Kong |
| 2016 | FUSION | Multi-sensor control for multi-target tracking using Cauchy-Schwarz divergence. | Meng Jiang, Wei Yi, Lingjiang Kong |
| 2016 | ICDM | Large-Scale Embedding Learning in Heterogeneous Event Data. | Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han |
| 2016 | ICDM | Steering Social Media Promotions with Effective Strategies. | Kun Kuang, Meng Jiang, Peng Cui, Shiqiang Yang |
| 2016 | KDD | CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors. | Meng Jiang, Christos Faloutsos, Jiawei Han |
| 2016 | TrustCom | An Optimized Layered Routing Algorithm for GEO/LEO Hybrid Satellite Networks. | Meng Jiang, Yanbo Liu, Wenchao Xu, Feilong Tang, Yanqin Yang, Lei Kuang |
| 2015 | ICDM | A General Suspiciousness Metric for Dense Blocks in Multimodal Data. | Meng Jiang, Alex Beutel, Peng Cui, Bryan Hooi, Shiqiang Yang, Christos Faloutsos |
| 2014 | KDD | CatchSync: catching synchronized behavior in large directed graphs. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2014 | KDD | FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery. | Meng Jiang, Peng Cui, Fei Wang, Xinran Xu, Wenwu Zhu, Shiqiang Yang |
| 2014 | PAKDD | Inferring Strange Behavior from Connectivity Pattern in Social Networks. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2014 | WWW | Detecting suspicious following behavior in multimillion-node social networks. | Meng Jiang, Peng Cui, Alex Beutel, Christos Faloutsos, Shiqiang Yang |
| 2013 | HCI | Ergonomic Assessment of Patient Barrow Lifting Technique Using Digital Human Modeling. | Wen Cao, Meng Jiang, Ying Han, Mohammad T. Khasawneh |
| 2012 | CIKM | Social contextual recommendation. | Meng Jiang, Peng Cui, Rui Liu, Qiang Yang, Fei Wang, Wenwu Zhu, Shiqiang Yang |
| 2012 | CIKM | Social recommendation across multiple relational domains. | Meng Jiang, Peng Cui, Fei Wang, Qiang Yang, Wenwu Zhu, Shiqiang Yang |
| 2010 | CIKM | Mining topic-level influence in heterogeneous networks. | Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang Yang |