| 2026 | DASFAA | Constrained Reachability Queries on Hypergraphs. | Faming Li, Han Guo, Shengli Qiu, Xiaochun Yang, Bin Wang |
| 2025 | ICLR | Training-Free Activation Sparsity in Large Language Models. | James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo, Yoon Kim, Ben Athiwaratkun |
| 2025 | ICML | The Surprising Effectiveness of Test-Time Training for Few-Shot Learning. | Ekin Akyrek, Mehul Damani, Adam Zweiger, Linlu Qiu, Han Guo, Jyothish Pari, Yoon Kim, Jacob Andreas |
| 2025 | ICML | On the Duality between Gradient Transformations and Adapters. | Lucas Torroba Hennigen, Hunter Lang, Han Guo, Yoon Kim |
| 2025 | NAACL | HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem. | Vladimir Malinovskii, Andrei Panferov, Ivan Ilin, Han Guo, Peter Richtrik, Dan Alistarh |
| 2024 | EMNLP | Fast Matrix Multiplications for Lookup Table-Quantized LLMs. | Han Guo, William Brandon, Radostin Cholakov, Jonathan Ragan-Kelley, Eric P. Xing, Yoon Kim |
| 2024 | GLOBECOM | Analysis of enhancing coverage performance in high-speed mobile scenarios with dual-array columnar lens antenna. | Mingshuo Wei, Han Guo, Yong Zhao, Jinyang Yu, Xue Ding, Henghua Lin |
| 2024 | ICLR | LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning. | Han Guo, Philip Greengard, Eric P. Xing, Yoon Kim |
| 2023 | ACL | TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. | Zhe Zhao, Yudong Li, Cheng Hou, Jing Zhao, Rong Tian, Weijie Liu, Yiren Chen, Ningyuan Sun, Haoyan Liu, Weiquan Mao, Han Guo, Weigang Guo, Taiqiang Wu, Tao Zhu, Wenhang Shi, Chen Chen, Shan Huang, Sihong Chen, Liqun Liu, Feifei Li, Xiaoshuai Chen, Xingwu Sun, Zhanhui Kang, Xiaoyong Du, Linlin Shen, Kimmo Yan |
| 2023 | ICASSP | Recouple Event Field via Probabilistic Bias for Event Extraction. | Xingyu Bai, Taiqiang Wu, Han Guo, Zhe Zhao, Xuefeng Yang, Jiayi Li, Weijie Liu, Qi Ju, Weigang Guo, Yujiu Yang |
| 2023 | ICLR | Federated Learning as Variational Inference: A Scalable Expectation Propagation Approach. | Han Guo, Philip Greengard, Hongyi Wang, Andrew Gelman, Yoon Kim, Eric P. Xing |
| 2023 | ICLR | MPCFORMER: Fast, Performant and Provate Transformer Inference with MPC. | Dacheng Li, Hongyi Wang, Rulin Shao, Han Guo, Eric P. Xing, Hao Zhang |
| 2022 | CVPR | VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. | Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny |
| 2022 | EMNLP | RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning. | Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu |
| 2022 | EMNLP | Efficient (Soft) Q-Learning for Text Generation with Limited Good Data. | Han Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, Zhiting Hu |
| 2022 | NAACL | Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. | Kunbo Ding, Weijie Liu, Yuejian Fang, Zhe Zhao, Qi Ju, Xuefeng Yang, Rong Tian, Zhu Tao, Haoyan Liu, Han Guo, Xingyu Bai, Weiquan Mao, Yudong Li, Weigang Guo, Taiqiang Wu, Ningyuan Sun |
| 2021 | EMNLP | FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. | Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong |
| 2021 | ICLR | CPT: Efficient Deep Neural Network Training via Cyclic Precision. | Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin |
| 2021 | ISM | Open-Domain Trending Hashtag Recommendation for Videos. | Swapneel Mehta, Somdeb Sarkhel, Xiang Chen, Saayan Mitra, Viswanathan Swaminathan, Ryan A. Rossi, Ali Aminian, Han Guo, Kshitiz Garg |
| 2021 | IWCMC | Analysis and Field Trial on Interference Coexistence of 5G NR and 4G LTE Dynamic Spectrum Sharing. | Bowen Cai, Weiliang Xie, Han Guo |
| 2021 | IWCMC | Research on Performance of Power Saving Technology for 5G Base Station. | Hua Zhang, Han Guo, Weiliang Xie |
| 2020 | AAAI | Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2020 | EMNLP | DORB: Dynamically Optimizing Multiple Rewards with Bandits. | Ramakanth Pasunuru, Han Guo, Mohit Bansal |
| 2019 | ISM | A Scalable Data Augmentation and Training Pipeline for Logo Detection. | Han Guo, Viswanathan Swaminathan, Saayan Mitra |
| 2019 | NAACL | AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2018 | ACL | Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2018 | CIKM | Rumor Detection with Hierarchical Social Attention Network. | Han Guo, Juan Cao, Yazi Zhang, Junbo Guo, Jintao Li |
| 2018 | COLING | Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2018 | WWW | When E-commerce Meets Social Media: Identifying Business on WeChat Moment Using Bilateral-Attention LSTM. | Tianlang Chen, Yuxiao Chen, Han Guo, Jiebo Luo |
| 2017 | EMNLP | Towards Improving Abstractive Summarization via Entailment Generation. | Ramakanth Pasunuru, Han Guo, Mohit Bansal |
| 2017 | ICWSM | Spice Up Your Chat: The Intentions and Sentiment Effects of Using Emojis. | Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo |
| 2016 | AISTATS | Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees. | Jinchun Zhan, Brian Lois, Han Guo, Namrata Vaswani |
| 2014 | ICASSP | Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum - Part 1. | Han Guo, Chenlu Qiu, Namrata Vaswani |