| 2026 | AAAI | Conformal Prediction for Multi-Source Detection on a Network. | Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer |
| 2026 | AIED | A Generator-Aligner Pipeline for LLM-Based Situational Judgment Test Generation. | Xinyi He, Cixiao Wang, Feng Ji |
| 2026 | ISCAS | ICNet: Cross-Modality Image Analysis for IC Localization in Printed Circuit Boards. | Jingyang Dai, Deruo Cheng, Xinrui Wang, Feng Ji, Yiqiong Shi, Bah-Hwee Gwee |
| 2025 | AAAI | Falcon: Faster and Parallel Inference of Large Language Models Through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree. | Xiangxiang Gao, Weisheng Xie, Yiwei Xiang, Feng Ji |
| 2025 | ICASSP | A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks. | Xingchao Jian, Martin Glz, Feng Ji, Wee Peng Tay, Abdelhak M. Zoubir |
| 2025 | ICASSP | Generalized Graph Signal Reconstruction via the Uncertainty Principle. | Yanan Zhao, Xingchao Jian, Feng Ji, Wee Peng Tay, Antonio Ortega |
| 2025 | ICLR | Rethinking Graph Neural Networks From A Geometric Perspective Of Node Features. | Feng Ji, Yanan Zhao, Kai Zhao, Hanyang Meng, Jielong Yang, Wee Peng Tay |
| 2025 | IJCNN | Modulo Video Recovery via Selective Spatiotemporal Vision Transformer. | Tianyu Geng, Feng Ji, Wee Peng Tay |
| 2025 | ISCAS | Multiple Hypothesis Testing for SEM Image Processing: A Case Study on Standard Cell Partition. | Xiaoyu Ma, Yizhen Li, Feng Ji, Tong Lin, Yiqiong Shi, Deruo Cheng, Bah-Hwee Gwee |
| 2025 | ISCAS | SSRNet: Few-shot IC Segmentation in Automated PCB Image Processing. | Yuhang Wang, Xinrui Wang, Deruo Cheng, Tong Lin, Feng Ji, Yiqiong Shi, Bah-Hwee Gwee |
| 2025 | ISCAS | Long-Short-GNN: A Novel Graph Neural Network for Detecting FPGA IP Circuits for Hardware Assurance. | Heyi Zhang, Tong Lin, Feng Ji, Deruo Cheng, Yiqiong Shi, Bah-Hwee Gwee |
| 2024 | ICLR | Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. | Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay |
| 2024 | ICML | Graph Neural Networks with a Distribution of Parametrized Graphs. | See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay |
| 2024 | ISIT | Spectral Convergence of Simplicial Complex Signals. | Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen |
| 2023 | ICASSP | Modulo EEG Signal Recovery Using Transformer. | Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay |
| 2023 | ICML | Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. | Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay |
| 2022 | ICASSP | Recovery of Graph Signals From Sign Measurements. | Wenwei Liu, Hui Feng, Kaixuan Wang, Feng Ji, Bo Hu |
| 2022 | IJCAI | SGAT: Simplicial Graph Attention Network. | See Hian Lee, Feng Ji, Wee Peng Tay |
| 2021 | AAAI | Predictive Adversarial Learning from Positive and Unlabeled Data. | Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2021 | AAAI | Reinforced History Backtracking for Conversational Question Answering. | Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang |
| 2021 | ACL | KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference. | Qianglong Chen, Feng Ji, Xiangji Zeng, Feng-Lin Li, Ji Zhang, Haiqing Chen, Yin Zhang |
| 2021 | ACL | REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. | Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie |
| 2021 | CIKM | Learning to Expand: Reinforced Response Expansion for Information-seeking Conversations. | Haojie Pan, Cen Chen, Chengyu Wang, Minghui Qiu, Liu Yang, Feng Ji, Jun Huang |
| 2021 | DASFAA | CAT-BERT: A Context-Aware Transferable BERT Model for Multi-turn Machine Reading Comprehension. | Cen Chen, Xinjing Huang, Feng Ji, Chengyu Wang, Minghui Qiu, Jun Huang, Yin Zhang |
| 2021 | ICASSP | Learning On Heterogeneous Graphs Using High-Order Relations. | See Hian Lee, Feng Ji, Wee Peng Tay |
| 2021 | IJCAI | AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. | Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo |
| 2020 | AAAI | MTSS: Learn from Multiple Domain Teachers and Become a Multi-Domain Dialogue Expert. | Shuke Peng, Feng Ji, Zehao Lin, Shaobo Cui, Haiqing Chen, Yin Zhang |
| 2020 | CIKM | Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems. | Zhenxin Fu, Shaobo Cui, Feng Ji, Ji Zhang, Haiqing Chen, Dongyan Zhao, Rui Yan |
| 2020 | CIKM | AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce. | Feng-Lin Li, Hehong Chen, Guohai Xu, Tian Qiu, Feng Ji, Ji Zhang, Haiqing Chen |
| 2020 | COLING | Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources. | Qianglong Chen, Feng Ji, Haiqing Chen, Yin Zhang |
| 2020 | COLING | Transformation of Dense and Sparse Text Representations. | Wenpeng Hu, Mengyu Wang, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao |
| 2020 | ICASSP | GFCN: A New Graph Convolutional Network Based on Parallel Flows. | Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay |
| 2020 | KDD | Context-to-Session Matching: Utilizing Whole Session for Response Selection in Information-Seeking Dialogue Systems. | Zhenxin Fu, Shaobo Cui, Mingyue Shang, Feng Ji, Dongyan Zhao, Haiqing Chen, Rui Yan |
| 2020 | SIGIR | G2T: Generating Fluent Descriptions for Knowledge Graph. | Yunzhou Shi, Zhiling Luo, Pengcheng Zhu, Feng Ji, Wei Zhou, Haiqing Chen, Yujiu Yang |
| 2019 | ACL | Simple and Effective Text Matching with Richer Alignment Features. | Runqi Yang, Jianhai Zhang, Xing Gao, Feng Ji, Haiqing Chen |
| 2019 | CIKM | Query-bag Matching with Mutual Coverage for Information-seeking Conversations in E-commerce. | Zhenxin Fu, Feng Ji, Wenpeng Hu, Wei Zhou, Dongyan Zhao, Haiqing Chen, Rui Yan |
| 2019 | EMNLP | Task-Oriented Conversation Generation Using Heterogeneous Memory Networks. | Zehao Lin, Xinjing Huang, Feng Ji, Haiqing Chen, Yin Zhang |
| 2019 | WSDM | Review-Driven Answer Generation for Product-Related Questions in E-Commerce. | Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen |
| 2019 | WSDM | Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. | Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft |
| 2018 | ACL | A Deep Relevance Model for Zero-Shot Document Filtering. | Chenliang Li, Wei Zhou, Feng Ji, Yu Duan, Haiqing Chen |
| 2018 | ACL | Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce. | Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin |
| 2018 | FUSION | Learning Correlation Graph and Anomalous Employee Behavior for Insider Threat Detection. | Pratibha Junshan Wang, Saurabh Aggarwal, Feng Ji, Wee Peng Tay |
| 2017 | ISIT | Inferring network topology from information cascades. | Feng Ji, Wenchang Tang, Wee Peng Tay, Edwin K. P. Change |
| 2015 | ICONIP | A Parallel Sensitive Area Selection-Based Particle Swarm Optimization Algorithm for Fast Solving CNOP. | Shijin Yuan, Feng Ji, Jinghao Yan, Bin Mu |
| 2013 | HPDC | On the efficacy of GPU-integrated MPI for scientific applications. | Ashwin M. Aji, Lokendra S. Panwar, Feng Ji, Milind Chabbi, Karthik Murthy, Pavan Balaji, Keith R. Bisset, James Dinan, Wu-chun Feng, John M. Mellor-Crummey, Xiaosong Ma, Rajeev Thakur |
| 2013 | IJCNN | Memristor-based synapse design and a case study in reconfigurable systems. | Feng Ji, Hai (Helen) Li, Bryant T. Wysocki, Clare Thiem, Nathan R. McDonald |
| 2012 | COLING | Joint Segmentation and Tagging with Coupled Sequences Labeling. | Xipeng Qiu, Feng Ji, Jiayi Zhao, Xuanjing Huang |
| 2012 | EMNLP | Part-of-Speech Tagging for Chinese-English Mixed Texts with Dynamic Features. | Jiayi Zhao, Xipeng Qiu, Shu Zhang, Feng Ji, Xuanjing Huang |
| 2012 | HPCC | DMA-Assisted, Intranode Communication in GPU Accelerated Systems. | Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Rajeev Thakur, Wu-chun Feng, Xiaosong Ma |
| 2011 | ISNN | Shadow Removal Based on Gray Correlation Analysis and Sobel Edge Detection Algorithm. | Feng Ji, Xinbo Gao, Zheng Dang, Songyun Xie |
| 2010 | ADMA | Mining Uncertain Sentences with Multiple Instance Learning. | Feng Ji, Xipeng Qiu, Xuanjing Huang |
| 2010 | CoNLL | Detecting Hedge Cues and their Scopes with Average Perceptron. | Feng Ji, Xipeng Qiu, Xuanjing Huang |
| 2008 | SAC | Multi-level biomedical ontology-enabled service broker for web-based interoperation. | Jack Fu, Feng Ji, Ramez Elmasri |
| 2007 | CBMS | Multi-level Conceptual Modeling for Biomedical Data and Ontologies Integration. | Ramez Elmasri, Jack Fu, Feng Ji |
| 2006 | CBMS | Extending EER Modeling Concepts for Biological Data. | Ramez Elmasri, Feng Ji, Jack Fu, Yiming Zhang, Zoe Raja |
| 2005 | AICCSA | Incorporating concepts for bioingormatics data modeling into EER models. | Feng Ji, Ramez Elmasri, Yiming Zhang, B. Ritesh, Zoe Raja |
| 2000 | ISPASS | Simplified workload characterization using unified prediction. | Karel Driesen, Josee Colette, Feng Ji, Mathias Jourdain, Mazen Fahmi, Abeer Ghuneim, Edil Hersi, Joyce Kahwa, Hala Razi Khan, Cathy Kwan, Abbas Mahyari, Jerome Miecknikowski, Mourad Oulmane, Michele Perucic, Azir Pirbay, Luiza Solomon, Jean Jac Taoko, Lip Hooi Tan, Feng Qian, Honghao Zhang, Lingyan Zhang, Su Zhang, Will Renner |