| 2026 | AAAI | NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations. | Ke Ding, Brian J. Parker, Jiayu Wen |
| 2025 | DASFAA | Contrastive Scenario-Aware Meta Prompting for Multi-scenario Recommendation. | Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He |
| 2025 | ICLR | HELMET: How to Evaluate Long-context Models Effectively and Thoroughly. | Howard Yen, Tianyu Gao, Minmin Hou, Ke Ding, Daniel Fleischer, Peter Izsak, Moshe Wasserblat, Danqi Chen |
| 2025 | ICML | OrcaLoca: An LLM Agent Framework for Software Issue Localization. | Zhongming Yu, Hejia Zhang, Yujie Zhao, Hanxian Huang, Matrix Yao, Ke Ding, Jishen Zhao |
| 2025 | WWW | Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. | Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo |
| 2025 | WWW | Distributed Secretary Problem: A Case of Two Uneven Queues. | Ke Ding, Bo Li, Fangxiao Wang |
| 2025 | WWW | EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. | Zhaorui Lian, Binzong Geng, Xiyu Chang, Yu Zhang, Ke Ding, Ziyu Lyu, Guanghu Yuan, Chengming Li, Min Yang, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu |
| 2024 | ACL | Learning to Maximize Mutual Information for Chain-of-Thought Distillation. | Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding |
| 2024 | CIKM | MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. | Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2024 | ECCV | To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy to Generate Unsafe Images ... For Now. | Yimeng Zhang, Jinghan Jia, Xin Chen, Aochuan Chen, Yihua Zhang, Jiancheng Liu, Ke Ding, Sijia Liu |
| 2024 | GLOBECOM | Enhancing Unknown Encrypted Traffic Clustering with Self-Supervised Learning. | Ke Ding, Xia Zhou, Xiaoyan Hu, Guang Cheng, Ruidong Li, Hua Wu |
| 2024 | ICASSP | Enhancing Multilingual Speech Recognition through Language Prompt Tuning and Frame-Level Language Adapter. | Song Li, Yongbin You, Xuezhi Wang, Ke Ding, Guanglu Wan |
| 2024 | Interspeech | MSR-86K: An Evolving, Multilingual Corpus with 86, 300 Hours of Transcribed Audio for Speech Recognition Research. | Song Li, Yongbin You, Xuezhi Wang, Zhengkun Tian, Ke Ding, Guanglu Wan |
| 2024 | QRS | Directed Fuzzing with Adaptive Path Guidance and Weighted Distribution. | Ke Ding, Ziyuan Wang, Weifeng Zhang |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan |
| 2023 | CIKM | MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. | Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo |
| 2023 | CVPR | Text-Visual Prompting for Efficient 2D Temporal Video Grounding. | Yimeng Zhang, Xin Chen, Jinghan Jia, Sijia Liu, Ke Ding |
| 2023 | DASFAA | Global-Aware Model-Free Self-distillation for Recommendation System. | Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu |
| 2023 | DATE | Token Adaptive Vision Transformer with Efficient Deployment for Fine-Grained Image Recognition. | Chonghan Lee, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan |
| 2023 | ICASSP | Covariance Regularization for Probabilistic Linear Discriminant Analysis. | Zhiyuan Peng, Mingjie Shao, Xuanji He, Xu Li, Tan Lee, Ke Ding, Guanglu Wan |
| 2023 | ICASSP | Peak-First CTC: Reducing the Peak Latency of CTC Models by Applying Peak-First Regularization. | Zhengkun Tian, Hongyu Xiang, Min Li, Feifei Lin, Ke Ding, Guanglu Wan |
| 2023 | KSEM | A Grasping System with Structured Light 3D Machine Vision Guided Strategy Optimization. | Jinhui Lin, Haohuai Liu, Lingxi Peng, Xuebing Luo, Ziyan Ke, Zhiwen Yu, Ke Ding |
| 2023 | RecSys | Graph Enhanced Feature Engineering for Privacy Preserving Recommendation Systems. | Chendi Xue, Xinyao Wang, Yu Zhou, Poovaiah M. Palangappa, Rita Brugarolas Brufau, Aasavari Dhananjay Kakne, Ravi Motwani, Ke Ding, Jian Zhang |
| 2023 | SIGIR | Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. | Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Xu Min |
| 2023 | SIGIR | DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. | Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo |
| 2022 | CIKM | GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. | Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo |
| 2022 | CIKM | Task Similarity Aware Meta Learning for Cold-Start Recommendation. | Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo |
| 2022 | COLING | Token and Head Adaptive Transformers for Efficient Natural Language Processing. | Chonghan Lee, Md Fahim Faysal Khan, Rita Brugarolas Brufau, Ke Ding, Vijaykrishnan Narayanan |
| 2022 | IJCNN | Encoder-Decoder Interactive Image Segmentation with Inception-Atrous-Collation Blocks. | Anthony D. Rhodes, Ke Ding, Manan Goel, Narayan Sundararajan |
| 2022 | Interspeech | CUSIDE: Chunking, Simulating Future Context and Decoding for Streaming ASR. | Keyu An, Huahuan Zheng, Zhijian Ou, Hongyu Xiang, Ke Ding, Guanglu Wan |
| 2022 | Interspeech | Unifying Cosine and PLDA Back-ends for Speaker Verification. | Zhiyuan Peng, Xuanji He, Ke Ding, Tan Lee, Guanglu Wan |
| 2022 | Interspeech | An Empirical Study of Language Model Integration for Transducer based Speech Recognition. | Huahuan Zheng, Keyu An, Zhijian Ou, Chen Huang, Ke Ding, Guanglu Wan |
| 2021 | ICDM | Multi-Classification Prediction of Alzheimer's Disease based on Fusing Multi-modal Features. | Qiao Pan, Ke Ding, Dehua Chen |
| 2021 | SIGIR | MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. | Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2021 | SIGIR | Learning to Select Instance: Simultaneous Transfer Learning and Clustering. | Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo |
| 2019 | WSC | Avoiding "day-zero": A Testbed for Evaluating Integrated Food-energy-water Management in Cape Town, South Africa. | Ke Ding, Jonathan M. Gilligan, George M. Hornberger |
| 2018 | ICPR | Mutual-optimization Towards Generative Adversarial Networks For Robust Speech Recognition. | Ke Ding, Ne Luo, Yanyan Xu, Dengfeng Ke, Kaile Su |
| 2015 | CEC | Regional seismic waveform inversion using swarm intelligence algorithms. | Ke Ding, Yanyang Chen, Yanbin Wang, Ying Tan |
| 2015 | IGARSS | Vertical sensitivity of satellite remote sensing of atmospheric carbon monoxide. | Jane Liu, Ke Ding, Aijun Ding |
| 2014 | CEC | Comparison of random number generators in Particle Swarm Optimization algorithm. | Ke Ding, Ying Tan |
| 2013 | GECCO | A GPU-based parallel fireworks algorithm for optimization. | Ke Ding, Shaoqiu Zheng, Ying Tan |
| 2012 | ACCV | A Probabilistic 3D Model Retrieval System Using Sphere Image. | Ke Ding, Yunhui Liu |
| 2012 | ICPR | A sketch-based 3D model retrieval system. | Ke Ding, Yunhui Liu |
| 2002 | COMPSAC | New Model and Scheduling Protocol for Transactional Workflows. | Ke Ding, Beihong Jin, Jun Wei, Yulin Feng |
| 2001 | COMPSAC | An XML-message Based Architecture Description Language and Architectural Mismatch Checking. | Bo Zhang, Ke Ding, Jing Li |