Menghai Pan

32 papers A* 7A 4B 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
CoRR
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2026 — conf
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
KDD (1)
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025 — conf
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings.
EMNLP (Industry Track)
Xiran Fan, Zhimeng Jiang, Chin-Chia Michael Yeh, Yuzhong Chen, Yingtong Dou, Menghai Pan, Yan Zheng
2025 A conf
Fine-Grained Graph Rationalization.
CIKM
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2025 J jnl
Illuminating LLM Coding Agents: Visual Analytics for Deeper Understanding and Enhancement.
CoRR
Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Mahashweta Das
2025 — conf
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
ACL (1)
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation.
CoRR
Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025 J jnl
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression.
CoRR
Yiqiao Jin, Kartik Sharma, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025 J jnl
Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts.
CoRR
Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar
2025 J jnl
TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding.
CoRR
Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das
2025 J jnl
TransactionGPT.
CoRR
Yingtong Dou, Zhimeng Jiang, Tianyi Zhang, Mingzhi Hu, Zhichao Xu, Shubham Jain, Uday Singh Saini, Xiran Fan, Jiarui Sun, Menghai Pan, Junpeng Wang, Xin Dai, Liang Wang, Chin-Chia Michael Yeh, Yujie Fan, Vineeth Rakesh, Huiyuan Chen, Mangesh Bendre, Zhongfang Zhuang, Xiaoting Li, Prince Osei Aboagye, Vivian Lai, Minghua Xu, Hao Yang, Yiwei Cai, Mahashweta Das, Yuzhong Chen
2024 A* conf
Discrete-state Continuous-time Diffusion for Graph Generation.
NeurIPS
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024 J jnl
Discrete-state Continuous-time Diffusion for Graph Generation.
CoRR
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
2024 A conf
Graph Anomaly Detection with Adaptive Node Mixup.
CIKM
Qinghai Zhou, Yuzhong Chen, Zhe Xu, Yuhang Wu, Menghai Pan, Mahashweta Das, Hao Yang, Hanghang Tong
2024 A* conf
PaCEr: Network Embedding From Positional to Structural.
WWW
Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
2023 J jnl
Invariant Graph Transformer.
CoRR
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
2023 A* conf
Kernel Ridge Regression-Based Graph Dataset Distillation.
KDD
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
2023 A* conf
Node Classification Beyond Homophily: Towards a General Solution.
KDD
Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
2023 A* conf
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.
IJCAI
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
2023 B conf
Sketching Multidimensional Time Series for Fast Discord Mining.
IEEE Big Data
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2023 J jnl
Sketching Multidimensional Time Series for Fast Discord Mining.
CoRR
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
2022 A conf
Denoising Self-Attentive Sequential Recommendation.
RecSys
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022 J jnl
Denoising Self-attentive Sequential Recommendation.
CoRR
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
2022 J jnl
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles.
IEEE Trans. Big Data
Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
2022 J jnl
Towards Generating Adversarial Examples on Mixed-type Data.
CoRR
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
2021 — conf
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers.
SIGSPATIAL/GIS
Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
2020 J jnl
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.
ACM Trans. Intell. Syst. Technol.
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
2020 — conf
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers.
SIGSPATIAL/GIS
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo
2020 A* conf
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification.
KDD
Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
2020 A* conf
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis.
KDD
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo
2019 A conf
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.
SDM
Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
2017 — conf
Modeling urban trip demands in cloud-commuting system: A holistic approach.
INFOCOM Workshops
Guanxiong Liu, Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo