Yiming Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
178
Venues
47
Active years
1984–2026
Best venue rank
A*
Where they publish
- A*ICML22 papers
- A*SIGIR22 papers
- A*ICLR16 papers
- A*ACL13 papers
- A*EMNLP13 papers
- A*AAAI12 papers
- ACIKM10 papers
- A*KDD5 papers
- BCOLING5 papers
- ANAACL4 papers
- ASC4 papers
- A*IJCAI4 papers
- A*CVPR3 papers
- AAISTATS3 papers
- AIROS3 papers
- ASDM3 papers
- A*SIGMOD2 papers
- AEACL2 papers
- CHPCC2 papers
- A*WWW2 papers
- UnrankedICTIR2 papers
- CICICS1 paper
- BPRICAI1 paper
- A*SIGCOMM1 paper
- BGLOBECOM1 paper
- AECAI1 paper
- BIJCNN1 paper
- CASRU1 paper
- A*ICCV1 paper
- BICONIP1 paper
- BACII1 paper
- UnrankedSENSYS1 paper
- CIC3K1 paper
- AICSA1 paper
- BEDM1 paper
- BISSAC1 paper
- AWSDM1 paper
- AUAI1 paper
- CICMLA1 paper
- BICSR1 paper
- CISCC1 paper
- BCOMPSAC1 paper
- NationalWSC1 paper
- NationalFlAIRS1 paper
- MulticonferenceSAC1 paper
- NationalEuroPLop1 paper
- BSMC1 paper
Papers
178 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection. | Yali Huang, Jie Mei, Ziyi Wu, Yiming Yang, Hongru Zhao, Mingyuan Jiu, Hichem Sahbi |
| 2026 | AAAI | Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI. | Yu Lei, Xingyang Ge, Yi Zhang, Yiming Yang, Bolei Ma |
| 2026 | AAAI | DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving. | Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li |
| 2026 | AAAI | From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge. | Hui Lu, Yi Yu, Song Xia, Yiming Yang, Deepu Rajan, Boon Poh Ng, Alex C. Kot, Xudong Jiang |
| 2026 | AAAI | CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. | Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang |
| 2026 | SIGMOD | Enzyme: Incremental View Maintenance for Data Engineering. | Ritwik Yadav, Supun Abeysinghe, Min Yang, Jeffrey Helt, Manuel Ung, Yuhong Chen, Melody Hu, William Wei, Yiming Yang, Tom van Bussel, Sourav Chatterji, Indrajit Roy, Paul Lappas, Yannis Papakonstantinou, Tahir Fayyaz, Bilal Aslam, Ross Bunker, Michael Armbrust, Shrikanth Shankar |
| 2025 | AAAI | SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. | Shengyu Feng, Yiming Yang |
| 2025 | AAAI | Topo2Seq: Enhanced Topology Reasoning via Topology Sequence Learning. | Yiming Yang, Yueru Luo, Bingkun He, Erlong Li, Zhipeng Cao, Chao Zheng, Shuqi Mei, Zhen Li |
| 2025 | ACL | Improve Vision Language Model Chain-of-thought Reasoning. | Ruohong Zhang, Bowen Zhang, Yanghao Li, Haotian Zhang, Zhiqing Sun, Zhe Gan, Yinfei Yang, Ruoming Pang, Yiming Yang |
| 2025 | CVPR | NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results. | Yuqian Fu, Xingyu Qiu, Bin Ren, Yanwei Fu, Radu Timofte, Nicu Sebe, Ming-Hsuan Yang, Luc Van Gool, Kaijin Zhang, Qingpeng Nong, Xiugang Dong, Hong Gao, Xiangsheng Zhou, Jiancheng Pan, Yanxing Liu, Xiao He, Jiahao Li, Yuze Sun, Xiaomeng Huang, Zhenyu Zhang, Ran Ma, Yuhan Liu, Zijian Zhuang, Shuai Yi, Yixiong Zou, Lingyi Hong, Mingxi Chen, Runze Li, Xingdong Sheng, Wenqiang Zhang, Weisen Chen, Yongxin Yan, Xinguo Chen, Yuanjie Shao, Zhengrong Zuo, Nong Sang, Hao Wu, Haoran Sun, Shuming Hu, Yan Zhang, Zhiguang Shi, Yu Zhang, Chao Chen, Tao Wang, Da Feng, Linhai Zhuo, Ziming Lin, Yali Huang, Jie Me, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu, Maomao Xiong, Qunshu Zhang, Xinyu Cao, Yuqing Yang, Dianmo Sheng, Xuanpu Zhao, Zhiyu Li, Xuyang Ding, Wenqian Li |
| 2025 | CVPR | Instance Feature Caching for Cross-Domain Few-Shot Object Detection. | Yali Huang, Jie Mei, Yiming Yang, Mi Guo, Mingyuan Jiu, Mingliang Xu |
| 2025 | EMNLP | Agentic-R1: Distilled Dual-Strategy Reasoning. | Weihua Du, Pranjal Aggarwal, Sean Welleck, Yiming Yang |
| 2025 | ICICS | ProverNG: Efficient Verification of Compositional Masking for Cryptosystem's Side-Channel Security. | Yiming Yang, Feng Zhou, Yuanyuan Wang, Hua Chen, Limin Fan, An Wang |
| 2025 | ICLR | Learning Chaos In A Linear Way. | Xiaoyuan Cheng, Yi He, Yiming Yang, Xiao Xue, Sibo Cheng, Daniel Giles, Xiaohang Tang, Yukun Hu |
| 2025 | ICLR | Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. | Shengyu Feng, Xiang Kong, Shuang Ma, Aonan Zhang, Dong Yin, Chong Wang, Ruoming Pang, Yiming Yang |
| 2025 | ICLR | TFG-Flow: Training-free Guidance in Multimodal Generative Flow. | Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma |
| 2025 | ICLR | Lean-STaR: Learning to Interleave Thinking and Proving. | Haohan Lin, Zhiqing Sun, Sean Welleck, Yiming Yang |
| 2025 | ICLR | Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for LLM Problem-Solving. | Yangzhen Wu, Zhiqing Sun, Shanda Li, Sean Welleck, Yiming Yang |
| 2025 | ICLR | Self-Play Preference Optimization for Language Model Alignment. | Yue Wu, Zhiqing Sun, Huizhuo Yuan, Kaixuan Ji, Yiming Yang, Quanquan Gu |
| 2025 | ICML | Optimizing Temperature for Language Models with Multi-Sample Inference. | Weihua Du, Yiming Yang, Sean Welleck |
| 2025 | ICML | Regularized Langevin Dynamics for Combinatorial Optimization. | Shengyu Feng, Yiming Yang |
| 2025 | ICML | Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction. | Yi He, Yiming Yang, Xiaoyuan Cheng, Hai Wang, Xiao Xue, Boli Chen, Yukun Hu |
| 2025 | ICML | Large Language Models are Demonstration Pre-Selectors for Themselves. | Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang |
| 2025 | ICML | Maximal Update Parametrization and Zero-Shot Hyperparameter Transfer for Fourier Neural Operators. | Shanda Li, Shinjae Yoo, Yiming Yang |
| 2025 | ICML | Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation. | Yiming Yang, Xiaoyuan Cheng, Daniel Giles, Sibo Cheng, Yi He, Xiao Xue, Boli Chen, Yukun Hu |
| 2025 | NAACL | Few-shot Personalization of LLMs with Mis-aligned Responses. | Jaehyung Kim, Yiming Yang |
| 2025 | NAACL | Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. | Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander G. Hauptmann, Yonatan Bisk, Yiming Yang |
| 2025 | PRICAI | VRGNet: A Relative Geometric-Driven Network for Point Cloud Registration with Virtual Correspondences. | Hao Wu, Li Yan, Changjun Chen, Binbing Wang, Yuquan Zhou, Yiming Yang |
| 2025 | SC | Error Analysis of Globally Distributed Workflow Management System. | Sankha Dutta, Ozgur O. Kilic, Tatiana Korchuganova, Paul Nilsson, Sairam Sri Vatsavai, Kuan-Chieh Hsu, David K. Park, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Yihui Ren, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2025 | SC | Data Management System Analysis for Distributed Computing Workloads. | Kuan-Chieh Hsu, Sairam Sri Vatsavai, Ozgur O. Kilic, Sankha Dutta, Yihui Ren, David K. Park, Tatiana Korchuganova, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Ahmad Khan, Jaehyung Kim, Norbert Podhorszki, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2025 | SC | CGSim: A Simulation Framework for Large Scale Distributed Computing Environment. | Sairam Sri Vatsavai, Raees Khan Ahmed, Kuan-Chieh Hsu, Ozgur O. Kilic, Yihui Ren, David K. Park, Paul Nilsson, Tania Korchuganova, Sankha Dutta, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Fatih Furkan Akman, Adolfy Hoisie, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frdric Suter, John Rembrandt Steele, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov |
| 2025 | SIGCOMM | SGLB: Scalable and Robust Global Load Balancing in Commodity AI Clusters. | Chenchen Qi, Wenfei Wu, Yongcan Wang, Keqiang He, Yu-Hsiang Kao, Zongying He, Chen-Yu Yen, Zhuo Jiang, Feng Luo, Surendra Anubolu, Yanjin Gao, Bingfeng Lin, Wenda Ni, Yiming Yang, Donglin Wei, Boyang Zhou, Jian Wang, Shan Ding |
| 2024 | ACL | Aligning Large Multimodal Models with Factually Augmented RLHF. | Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell |
| 2024 | AISTATS | Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers. | Krzysztof Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tams Sarls, Thomas Weingarten, Adrian Weller |
| 2024 | EACL | Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. | Ruohong Zhang, Yau-Shian Wang, Yiming Yang |
| 2024 | EMNLP | Learning to Correct for QA Reasoning with Black-box LLMs. | Jaehyung Kim, Dongyoung Kim, Yiming Yang |
| 2024 | GLOBECOM | Online DRL-based Beam Selection for RIS-Aided Physical Layer Security: An Experimental Study. | Ahmed Nasser, Abdulkadir Celik, Asmaa Abdallah, David Lago-Cachn, Ruiqi Wang, Yiming Yang, Atif Shamim, Ahmed M. Eltawil |
| 2024 | ICLR | Functional Interpolation for Relative Positions improves Long Context Transformers. | Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontan, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli |
| 2024 | ICLR | Learning Performance-Improving Code Edits. | Alexander Shypula, Aman Madaan, Yimeng Zeng, Uri Alon, Jacob R. Gardner, Yiming Yang, Milad Hashemi, Graham Neubig, Parthasarathy Ranganathan, Osbert Bastani, Amir Yazdanbakhsh |
| 2024 | ICLR | SALMON: Self-Alignment with Instructable Reward Models. | Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen, David Daniel Cox, Yiming Yang, Chuang Gan |
| 2024 | ICML | In-Context Principle Learning from Mistakes. | Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon |
| 2024 | SIGIR | Representation Learning and Information Retrieval. | Yiming Yang |
| 2024 | SC | AI Surrogate Model for Distributed Computing Workloads. | David Keetae Park, Yihui Ren, Ozgur O. Kilic, Tatiana Korchuganova, Sairam Sri Vatsavai, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Raees Khan, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Paul Nilsson, Verena Ingrid Martinez Outschoorn, Norbert Podhorszki, Frdric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie |
| 2023 | ACL | PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. | Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang |
| 2023 | EACL | Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. | Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei |
| 2023 | ECAI | Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. | Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu |
| 2023 | EMNLP | Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs. | Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam |
| 2023 | EMNLP | Active Retrieval Augmented Generation. | Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | EMNLP | CompleQA: Benchmarking the Impacts of Knowledge Graph Completion Methods on Question Answering. | Donghan Yu, Yu Gu, Chenyan Xiong, Yiming Yang |
| 2023 | ICLR | Recitation-Augmented Language Models. | Zhiqing Sun, Xuezhi Wang, Yi Tay, Yiming Yang, Denny Zhou |
| 2023 | ICML | PAL: Program-aided Language Models. | Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig |
| 2023 | ICML | A Neural PDE Solver with Temporal Stencil Modeling. | Zhiqing Sun, Yiming Yang, Shinjae Yoo |
| 2023 | IJCNN | Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. | Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu |
| 2023 | IROS | Generalized Robot Dynamics Learning and Gen2Real Transfer. | Dengpeng Xing, Yiming Yang, Zechang Wang, Jiale Li, Bo Xu |
| 2023 | SIGIR | Retrieval-Enhanced Generative Model for Large-Scale Knowledge Graph Completion. | Donghan Yu, Yiming Yang |
| 2022 | AAAI | JAKET: Joint Pre-training of Knowledge Graph and Language Understanding. | Donghan Yu, Chenguang Zhu, Yiming Yang, Michael Zeng |
| 2022 | ACL | KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering. | Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, Michael Zeng |
| 2022 | EMNLP | Conditional set generation using Seq2seq models. | Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Antoine Bosselut |
| 2022 | EMNLP | Memory-assisted prompt editing to improve GPT-3 after deployment. | Aman Madaan, Niket Tandon, Peter Clark, Yiming Yang |
| 2022 | EMNLP | Language Models of Code are Few-Shot Commonsense Learners. | Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, Graham Neubig |
| 2022 | HPCC | CH-Go: Online Go System Based on Chunk Data Storage. | Hui Lu, Chuan Li, Yiming Yang, Cheng Li, Ashraful Islam |
| 2022 | ICLR | Sparse Attention with Learning to Hash. | Zhiqing Sun, Yiming Yang, Shinjae Yoo |
| 2022 | NAACL | Learning to repair: Repairing model output errors after deployment using a dynamic memory of feedback. | Niket Tandon, Aman Madaan, Peter Clark, Yiming Yang |
| 2021 | ACL | Could you give me a hint ? Generating inference graphs for defeasible reasoning. | Aman Madaan, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, Eduard H. Hovy |
| 2021 | ASRU | Towards Using Heterogeneous Relation Graphs for End-to-End TTS. | Amrith Setlur, Aman Madaan, Tanmay Parekh, Yiming Yang, Alan W. Black |
| 2021 | EMNLP | Think about it! Improving defeasible reasoning by first modeling the question scenario. | Aman Madaan, Niket Tandon, Dheeraj Rajagopal, Peter Clark, Yiming Yang, Eduard H. Hovy |
| 2021 | ICCV | Rethinking Transformer-based Set Prediction for Object Detection. | Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani |
| 2021 | ICLR | Meta Back-Translation. | Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig |
| 2021 | NAACL | Neural Language Modeling for Contextualized Temporal Graph Generation. | Aman Madaan, Yiming Yang |
| 2021 | WWW | Knowledge Embedding Based Graph Convolutional Network. | Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu |
| 2021 | SIGIR | Unsupervised Extractive Text Summarization with Distance-Augmented Sentence Graphs. | Jingzhou Liu, Dominic J. D. Hughes, Yiming Yang |
| 2020 | ACL | Politeness Transfer: A Tag and Generate Approach. | Aman Madaan, Amrith Setlur, Tanmay Parekh, Barnabs Pczos, Graham Neubig, Yiming Yang, Ruslan Salakhutdinov, Alan W. Black, Shrimai Prabhumoye |
| 2020 | ACL | A Re-evaluation of Knowledge Graph Completion Methods. | Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang |
| 2020 | ACL | MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. | Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou |
| 2020 | ACL | Predicting Performance for Natural Language Processing Tasks. | Mengzhou Xia, Antonios Anastasopoulos, Ruochen Xu, Yiming Yang, Graham Neubig |
| 2020 | CVPR | Violin: A Large-Scale Dataset for Video-and-Language Inference. | Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu |
| 2020 | EMNLP | On the Sentence Embeddings from Pre-trained Language Models. | Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li |
| 2020 | ICLR | Pre-training Tasks for Embedding-based Large-scale Retrieval. | Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar |
| 2020 | ICLR | Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework. | Zirui Wang, Jiateng Xie, Ruochen Xu, Yiming Yang, Graham Neubig, Jaime G. Carbonell |
| 2020 | ICML | An EM Approach to Non-autoregressive Conditional Sequence Generation. | Zhiqing Sun, Yiming Yang |
| 2020 | ICONIP | Correlation-Aware Change-Point Detection via Graph Neural Networks. | Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang |
| 2020 | KDD | Taming Pretrained Transformers for Extreme Multi-label Text Classification. | Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon |
| 2019 | AAAI | Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. | Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang |
| 2019 | ACII | LIWC into the Eyes: Using Facial Features to Contextualize Linguistic Analysis in Multimodal Communication. | Md. Kamrul Hasan, Taylan K. Sen, Yiming Yang, Raiyan Abdul Baten, Kurtis Glenn Haut, Mohammed Ehsan Hoque |
| 2019 | ACL | Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. | Zihang Dai, Zhilin Yang, Yiming Yang, Jaime G. Carbonell, Quoc Viet Le, Ruslan Salakhutdinov |
| 2019 | AISTATS | Implicit Kernel Learning. | Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabs Pczos |
| 2019 | EMNLP | A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. | Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang |
| 2019 | ICLR | Kernel Change-point Detection with Auxiliary Deep Generative Models. | Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos |
| 2019 | ICLR | DARTS: Differentiable Architecture Search. | Hanxiao Liu, Karen Simonyan, Yiming Yang |
| 2019 | SIGMOD | Nanosecond Indexing of Graph Data With Hash Maps and VLists. | Andrew Carter, Andrew Rodriguez, Yiming Yang, Scott Meyer |
| 2019 | SENSYS | Interactive Building Metadata Normalization. | Jason Koh, Kuo Liang, Yiming Yang, Dezhi Hong, Yuvraj Agarwal, Rajesh Gupta |
| 2018 | COLING | Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort. | Aldrian Obaja Muis, Naoki Otani, Nidhi Vyas, Ruochen Xu, Yiming Yang, Teruko Mitamura, Eduard H. Hovy |
| 2018 | EMNLP | Unsupervised Cross-lingual Transfer of Word Embedding Spaces. | Ruochen Xu, Yiming Yang, Naoki Otani, Yuexin Wu |
| 2018 | IC3K | Graph Convolutional Matrix Completion for Bipartite Edge Prediction. | Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2018 | IROS | Automatic Parameter Tuning of Motion Planning Algorithms. | Jos Cano, Yiming Yang, Bruno Bodin, Vijay Nagarajan, Michael F. P. O'Boyle |
| 2018 | IROS | Dual-Arm Coordinated Motion Planning and Compliance Control for Capturing Moving Objects with Large Momentum. | Lei Yan, Yiming Yang, Wenfu Xu, Sethu Vijayakumar |
| 2018 | ICTIR | Large-scale Machine Learning over Graphs. | Yiming Yang |
| 2018 | SIGIR | Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. | Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu |
| 2018 | SIGIR | Deep Learning for Epidemiological Predictions. | Yuexin Wu, Yiming Yang, Hiroshi Nishiura, Masaya Saitoh |
| 2017 | AAAI | Cross-Domain Kernel Induction for Transfer Learning. | Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2017 | ACL | Cross-lingual Distillation for Text Classification. | Ruochen Xu, Yiming Yang |
| 2017 | EMNLP | RACE: Large-scale ReAding Comprehension Dataset From Examinations. | Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy |
| 2017 | ICML | Analogical Inference for Multi-relational Embeddings. | Hanxiao Liu, Yuexin Wu, Yiming Yang |
| 2017 | IJCAI | Data-driven Random Fourier Features using Stein Effect. | Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos |
| 2017 | ICSA | Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases. | Ian Gorton, Ruochen Xu, Yiming Yang, Hanxiao Liu, Guoqing Zheng |
| 2017 | SIGIR | Deep Learning for Extreme Multi-label Text Classification. | Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang |
| 2016 | AISTATS | Semi-Supervised Learning with Adaptive Spectral Transform. | Hanxiao Liu, Yiming Yang |
| 2016 | CIKM | Cross-lingual Text Classification via Model Translation with Limited Dictionaries. | Ruochen Xu, Yiming Yang, Hanxiao Liu, Andrew Hsi |
| 2016 | COLING | Leveraging Multilingual Training for Limited Resource Event Extraction. | Andrew Hsi, Yiming Yang, Jaime G. Carbonell, Ruochen Xu |
| 2016 | EDM | Data-driven Automated Induction of Prerequisite Structure Graphs. | Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger |
| 2016 | ICML | Cross-Graph Learning of Multi-Relational Associations. | Hanxiao Liu, Yiming Yang |
| 2016 | KDD | Efficient Shift-Invariant Dictionary Learning. | Guoqing Zheng, Yiming Yang, Jaime G. Carbonell |
| 2015 | ICML | Bipartite Edge Prediction via Transductive Learning over Product Graphs. | Hanxiao Liu, Yiming Yang |
| 2015 | ISSAC | An Algorithm to Check Whether a Basis of a Parametric Polynomial System is a Comprehensive Grbner Basis and the Associated Completion Algorithm. | Deepak Kapur, Yiming Yang |
| 2015 | WSDM | Concept Graph Learning from Educational Data. | Yiming Yang, Hanxiao Liu, Jaime G. Carbonell, Wanli Ma |
| 2014 | ICML | Von Mises-Fisher Clustering Models. | Siddharth Gopal, Yiming Yang |
| 2014 | UAI | Transformation-based Probabilistic Clustering with Supervision. | Siddharth Gopal, Yiming Yang |
| 2013 | ICML | Distributed training of Large-scale Logistic models. | Siddharth Gopal, Yiming Yang |
| 2013 | KDD | Recursive regularization for large-scale classification with hierarchical and graphical dependencies. | Siddharth Gopal, Yiming Yang |
| 2012 | CIKM | A unified optimization framework for auction and guaranteed delivery in online advertising. | Konstantin Salomatin, Tie-Yan Liu, Yiming Yang |
| 2011 | CIKM | Modeling personalized email prioritization: classification-based and regression-based approaches. | Shinjae Yoo, Yiming Yang, Jaime G. Carbonell |
| 2011 | ICMLA | Statistical Learning for File-Type Identification. | Siddharth Gopal, Yiming Yang, Konstantin Salomatin, Jaime G. Carbonell |
| 2011 | ICSR | Recovering Object-Oriented Framework for Software Product Line Reengineering. | Yijian Wu, Yiming Yang, Xin Peng, Cheng Qiu, Wenyun Zhao |
| 2010 | CIKM | CiteData: a new multi-faceted dataset for evaluating personalized search performance. | Abhay Harpale, Yiming Yang, Siddharth Gopal, Daqing He, Zhen Yue |
| 2010 | CIKM | Learning to rank relevant and novel documents through user feedback. | Abhimanyu Lad, Yiming Yang |
| 2010 | HPCC | Improving Energy Efficiency and Security for Disk Systems. | Shu Yin, Mohammed I. Alghamdi, Xiaojun Ruan, Mais Nijim, Ashwin Tamilarasan, Ziliang Zong, Xiao Qin, Yiming Yang |
| 2010 | ICML | Active Learning for Multi-Task Adaptive Filtering. | Abhay Harpale, Yiming Yang |
| 2010 | SIGIR | Multilabel classification with meta-level features. | Siddharth Gopal, Yiming Yang |
| 2010 | SDM | Active Ordering of Interactive Prediction Tasks. | Abhimanyu Lad, Yiming Yang |
| 2009 | ICTIR | Modeling Expected Utility of Multi-session Information Distillation. | Yiming Yang, Abhimanyu Lad |
| 2009 | KDD | Mining social networks for personalized email prioritization. | Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon |
| 2009 | SIGIR | Protein identification as an information retrieval problem. | Yiming Yang, Subramaniam Ganapathy, Abhay Harpale |
| 2009 | SDM | Toward Optimal Ordering of Prediction Tasks. | Abhimanyu Lad, Yiming Yang, Rayid Ghani, Bryan Kisiel |
| 2009 | SDM | Multi-field Correlated Topic Modeling. | Konstantin Salomatin, Yiming Yang, Abhimanyu Lad |
| 2008 | CIKM | Corpus microsurgery: criteria optimization for medical cross-language ir. | Monica Rogati, Yiming Yang, Jaime G. Carbonell |
| 2008 | ISCC | Improving reliability and energy efficiency of disk systems via utilization control. | Kiranmai Bellam, Adam Manzanares, Xiaojun Ruan, Xiao Qin, Yiming Yang |
| 2008 | SIGIR | Personalized active learning for collaborative filtering. | Abhay Harpale, Yiming Yang |
| 2007 | CIKM | Generalizing from relevance feedback using named entity wildcards. | Abhimanyu Lad, Yiming Yang |
| 2007 | COMPSAC | An Automatic Connector Generation Method for Dynamic Architecture. | Yiming Yang, Xin Peng, Wenyun Zhao |
| 2007 | WSC | A simulation framework for energy efficient data grids. | Ziliang Zong, Xiao Qin, Xiaojun Ruan, Kiranmai Bellam, Yiming Yang, Adam Manzanares |
| 2007 | SIGIR | Utility-based information distillation over temporally sequenced documents. | Yiming Yang, Abhimanyu Lad, Ni Lao, Abhay Harpale, Bryan Kisiel, Monica Rogati |
| 2005 | AAAI | Using Modified Lasso Regression to Learn Large Undirected Graphs in a Probabilistic Framework. | Fan Li, Yiming Yang |
| 2005 | FlAIRS | Combining Categorization-based and Corpus-based Approaches for CLIR. | Yiming Yang, Monica Rogati, Bryan Kisiel |
| 2005 | WWW | An experimental study on large-scale web categorization. | Tie-Yan Liu, Yiming Yang, Hao Wan, Qian Zhou, Bin Gao, Hua-Jun Zeng, Zheng Chen, Wei-Ying Ma |
| 2005 | SAC | Using recursive classification to discover predictive features. | Fan Li, Yiming Yang |
| 2005 | SIGIR | Analysis of recursive feature elimination methods. | Fan Li, Yiming Yang |
| 2005 | SIGIR | Robustness of adaptive filtering methods in a cross-benchmark evaluation. | Yiming Yang, Shinjae Yoo, Jian Zhang, Bryan Kisiel |
| 2004 | ACL | Customizing Parallel Corpora at the Document Level. | Monica Rogati, Yiming Yang |
| 2004 | COLING | Learning Table Extraction from Examples. | Ashwin Tengli, Yiming Yang, Nianli Ma |
| 2004 | EuroPLop | Patterns for Managing Distributed Product Development Teams. | Vincent Bricout, Denis Heliot, Adrian Cretoiu, Yiming Yang, Thierry Simien, Lise B. Hvatum |
| 2004 | ICML | Probabilistic score estimation with piecewise logistic regression. | Jian Zhang, Yiming Yang |
| 2004 | SIGIR | Resource selection for domain-specific cross-lingual IR. | Monica Rogati, Yiming Yang |
| 2003 | ACL | Unsupervised Learning of Arabic Stemming Using a Parallel Corpus. | Monica Rogati, J. Scott McCarley, Yiming Yang |
| 2003 | CIKM | Margin-based local regression for adaptive filtering. | Yiming Yang, Bryan Kisiel |
| 2003 | ICML | A Loss Function Analysis for Classification Methods in Text Categorization. | Fan Li, Yiming Yang |
| 2003 | ICML | Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. | Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann |
| 2003 | SMC | Design and realization of communication mechanism of autonomous robot soccer based on multi-agent system. | Yun Xie, Yiming Yang, Zeming Deng, Bingru Liu, Bo Yi |
| 2003 | SIGIR | A scalability analysis of classifiers in text categorization. | Yiming Yang, Jian Zhang, Bryan Kisiel |
| 2003 | SIGIR | Robustness of regularized linear classification methods in text categorization. | Jian Zhang, Yiming Yang |
| 2002 | AAAI | Stochastic Link and Group Detection. | Jeremy Kubica, Andrew W. Moore, Jeff G. Schneider, Yiming Yang |
| 2002 | CIKM | Boosting to correct inductive bias in text classification. | Yan Liu, Yiming Yang, Jaime G. Carbonell |
| 2002 | CIKM | High-performing feature selection for text classification. | Monica Rogati, Yiming Yang |
| 2002 | KDD | Topic-conditioned novelty detection. | Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun Jin |
| 2001 | ICML | Hypertext Categorization using Hyperlink Patterns and Meta Data. | Rayid Ghani, Sen Slattery, Yiming Yang |
| 2001 | SIGIR | A Study on Thresholding Strategies for Text Categorization. | Yiming Yang |
| 2000 | ICML | Combining Multiple Learning Strategies for Effective Cross Validation. | Yiming Yang, Tom Ault, Thomas Pierce |
| 2000 | SIGIR | Improving text categorization methods for event tracking. | Yiming Yang, Tom Ault, Thomas Pierce, Charles W. Lattimer |
| 1999 | SIGIR | A Re-Examination of Text Categorization Methods. | Yiming Yang, Xin Liu |
| 1998 | SIGIR | A Study of Retrospective and On-Line Event Detection. | Yiming Yang, Thomas Pierce, Jaime G. Carbonell |
| 1997 | ICML | A Comparative Study on Feature Selection in Text Categorization. | Yiming Yang, Jan O. Pedersen |
| 1997 | IJCAI | Translingual Information Retrieval: A Comparative Evaluation. | Jaime G. Carbonell, Yiming Yang, Robert E. Frederking, Ralf D. Brown, Yibing Geng, Danny Lee |
| 1995 | SIGIR | Noise Reduction in a Statistical Approach to Text Categorization. | Yiming Yang |
| 1994 | SIGIR | Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval. | Yiming Yang |
| 1993 | SIGIR | An Application of Least Squares Fit Mapping to Text Information Retrieval. | Yiming Yang, Christopher G. Chute |
| 1992 | COLING | A Linear Least Squares Fit Mapping Method For Information Retrieval From Natural Language Texts. | Yiming Yang, Christopher G. Chute |
| 1987 | IJCAI | Combining Prediction, Syntactic Analysis and Semantic Analysis in Chinese Sentence Analysis. | Yiming Yang |
| 1985 | IJCAI | Partial Constraints in Chinese Analysis. | Yiming Yang, Shuji Doshita, Toyoaki Nishida |
| 1984 | COLING | Use Of Heuristic Knowledge In Chinese Language Analysis. | Yiming Yang, Toyoaki Nishida, Shuji Doshita |