Jiang, Meng

28 publications

ICLR 2025 Learning Molecular Representation in a Cell Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E Carpenter, Meng Jiang, Shantanu Singh

NeurIPS 2025 Learning Repetition-Invariant Representations for Polymer Informatics Yihan Zhu, Gang Liu, Eric Inae, Tengfei Luo, Meng Jiang

TMLR 2025 Leopard: A Vision Language Model for Text-Rich Multi- Image Tasks Mengzhao Jia, Wenhao Yu, Kaixin Ma, Tianqing Fang, Zhihan Zhang, Siru Ouyang, Hongming Zhang, Dong Yu, Meng Jiang

LoG 2025 Motif-Aware Attribute Masking for Molecular Graph Pre-Training Eric Inae, Gang Liu, Meng Jiang

ICLR 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen

AAAI 2025 Pre-Trained Behavioral Model for Malicious User Prediction on Social Platform Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng

AAAI 2024 Get an a in Math: Progressive Rectification Prompting Zhenyu Wu, Meng Jiang, Chao Shen

NeurIPS 2024 Graph Diffusion Transformers for Multi-Conditional Molecular Generation Gang Liu, Jiaxin Xu, Tengfei Luo, Meng Jiang

ICMLW 2024 Large Language Models Can Self-Correct with Minimal Effort Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang

NeurIPSW 2024 Learning Molecular Representation in a Cell Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E Carpenter, Meng Jiang, Shantanu Singh

ICLRW 2024 OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models Yuxuan Kuang, Hai Lin, Meng Jiang

ICML 2024 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 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 Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

NeurIPS 2023 Data-Centric Learning from Unlabeled Graphs with Diffusion Model Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang

NeurIPSW 2023 Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection Noah Ziems, Gang Liu, John Flanagan, Meng Jiang

ICLR 2023 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

NeurIPSW 2023 Motif-Aware Attribute Masking for Molecular Graph Pre-Training Eric Inae, Gang Liu, Meng Jiang

NeurIPSW 2023 Semi-Supervised Graph Imbalanced Regression Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang

ICLRW 2023 Transfer Learning with Diffusion Model for Polymer Property Prediction Gang Liu, Meng Jiang

LoG 2022 AutoGDA: Automated Graph Data Augmentation for Node Classification Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang

ICML 2022 Learning from Counterfactual Links for Link Prediction Tong Zhao, Gang Liu, Daheng Wang, Wenhao Yu, Meng Jiang

AAAI 2021 Data Augmentation for Graph Neural Networks Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah

AAAI 2020 Few-Shot Knowledge Graph Completion Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla

AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

AAAI 2020 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

IJCAI 2017 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai

AAAI 2017 Treatment Effect Estimation with Data-Driven Variable Decomposition Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang

AAAI 2016 Little Is Much: Bridging Cross-Platform Behaviors Through Overlapped Crowds Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang