Long Text Generation via Adversarial Training with Leaked Information. - Jiaxian Guo; Sidi Lu; Han Cai; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (AAAI, 2018)

Texygen: A Benchmarking Platform for Text Generation Models. - Yaoming Zhu; Sidi Lu; Lei Zheng; Jiaxian Guo; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (SIGIR, 2018)

DNQ: Dynamic Network Quantization. - Yuhui Xu; Shuai Zhang 009; Yingyong Qi; Jiaxian Guo; Weiyao Lin; Hongkai Xiong (DCC, 2019)

LTF: A Label Transformation Framework for Correcting Label Shift. - Jiaxian Guo; Mingming Gong; Tongliang Liu; Kun Zhang 001; Dacheng Tao (ICML, 2020)

The HW-TSC Video Speech Translation System at IWSLT 2020. - Minghan Wang; Hao Yang 006; Yao Deng; Ying Qin; Lizhi Lei; Daimeng Wei; Hengchao Shang; Ning Xie; Xiaochun Li; Jiaxian Guo (IWSLT, 2020)

Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. - Jiaxian Guo; Jiachen Li; Huan Fu; Mingming Gong; Kun Zhang 001; Dacheng Tao (CVPR, 2022)

Online Continual Learning with Contrastive Vision Transformer. - Zhen Wang 030; Liu Liu 014; Yajing Kong; Jiaxian Guo; Dacheng Tao (ECCV (20), 2022)

A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning. - Jiaxian Guo; Mingming Gong; Dacheng Tao (ICLR, 2022)

Latent Dynamic Token Vision Transformer for Pedestrian Attribute Recognition. - Xia Feng; Jiaxian Guo; Caihua Liu (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. - Jiaxian Guo; Junnan Li 001; Dongxu Li; Anthony Meng Huat Tiong; Boyang Li 001; Dacheng Tao; Steven C. H. Hoi (CoRR, 2022)

Weight fused functional sliced average variance estimation. - Wenjuan Hu; Jiaxian Guo; Guochang Wang; Baoxue Zhang (Commun. Stat. Simul. Comput., 2022)

PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination. - Xingzhou Lou; Jiaxian Guo; Junge Zhang; Jun Wang 012; Kaiqi Huang; Yali Du 001 (AAMAS, 2023)

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. - Jiaxian Guo; Junnan Li 001; Dongxu Li; Anthony Meng Huat Tiong; Boyang Li 001; Dacheng Tao; Steven C. H. Hoi (CVPR, 2023)

An Efficient End-to-End Training Approach for Zero-Shot Human-AI Coordination. - Xue Yan; Jiaxian Guo; Xingzhou Lou; Jun Wang 012; Haifeng Zhang 002; Yali Du 001 (NeurIPS, 2023)

DreamSparse: Escaping from Plato's Cave with 2D Diffusion Model Given Sparse Views. - Paul Yoo; Jiaxian Guo; Yutaka Matsuo; Shixiang Shane Gu (NeurIPS, 2023)

Disentangled Attribute Features Vision Transformer for Pedestrian Attribute Recognition. - Caihua Liu; Jiaxian Guo; Sichu Chen; Xia Feng (PRCV (6), 2023)

DreamSparse: Escaping from Plato's Cave with 2D Frozen Diffusion Model Given Sparse Views. - Paul Yoo; Jiaxian Guo; Yutaka Matsuo; Shixiang Shane Gu (CoRR, 2023)

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model. - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy. - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (CoRR, 2023)

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4. - Jiaxian Guo; Bo Yang 057; Paul Yoo; Bill Yuchen Lin; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2023)

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset. - Zhihao Cheng; Li Shen 008; Miaoxi Zhu; Jiaxian Guo; Meng Fang; Liu Liu 014; Bo Du 001; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model. - Xin Zhang; Jiaxian Guo; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (ICASSP, 2024)

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy. - So Kuroki; Jiaxian Guo; Tatsuya Matsushima; Takuya Okubo; Masato Kobayashi; Yuya Ikeda; Ryosuke Takanami; Paul Yoo; Yutaka Matsuo; Yusuke Iwasawa (ICRA, 2024)

In-N-Out: Lifting 2D Diffusion Prior for 3D Object Removal via Tuning-Free Latents Alignment. - Dongting Hu; Huan Fu; Jiaxian Guo; Liuhua Peng; Tingjin Chu; Feng Liu 003; Tongliang Liu; Mingming Gong (NeurIPS, 2024)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. - Xiabin Zhou; Wenbin Wang; Minyan Zeng; Jiaxian Guo; Xuebo Liu 002; Li Shen 008; Min Zhang 005; Liang Ding 006 (CoRR, 2024)

Real-world robot applications of foundation models: a review. - Kento Kawaharazuka; Tatsuya Matsushima; Andrew Gambardella; Jiaxian Guo; Chris Paxton 001; Andy Zeng 001 (Adv. Robotics, 2024)

Image Referenced Sketch Colorization Based on Animation Creation Workflow. - Dingkun Yan; Xinrui Wang; Zhuoru Li; Suguru Saito; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CVPR, 2025)

Real-time data-efficient portrait stylization via geometric alignment. - Xinrui Wang; Zhuoru Li; Xuanyu Yin; Xiao Zhou; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (Neural Networks, 2025)

Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection. - Bo Yang 057; Jiaxian Guo; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Beyond In-Distribution Success: Scaling Curves of CoT Granularity for Language Model Generalization. - Ru Wang; Wei Huang; Selena Song; Haoyu Zhang; Yusuke Iwasawa; Yutaka Matsuo; Jiaxian Guo (CoRR, 2025)

ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities. - Dingkun Yan; Xinrui Wang; Yusuke Iwasawa; Yutaka Matsuo; Suguru Saito; Jiaxian Guo (CoRR, 2025)

Spark Transformer: Reactivating Sparsity in FFN and Attention. - Chong You; Kan Wu; Zhipeng Jia; Lin Chen; Srinadh Bhojanapalli; Jiaxian Guo; Utku Evci; Jan Wassenberg; Praneeth Netrapalli; Jeremiah J. Willcock; Suvinay Subramanian; Felix Chern; et al. (CoRR, 2025)