Down-scaling SRTM slope based on histogram matching and slope distribution model. - Chunmei Wang; Qinke Yang; Jiaxin Wen; David L. B. Jupp (IGARSS, 2016)

Robustness Testing of Language Understanding in Dialog Systems. - Jiexi Liu 002; Ryuichi Takanobu; Jiaxin Wen; Dazhen Wan; Weiran Nie; Hongyan Li; Cheng Li; Wei Peng 011; Minlie Huang (CoRR, 2020)

Robustness Testing of Language Understanding in Task-Oriented Dialog. - Jiexi Liu 002; Ryuichi Takanobu; Jiaxin Wen; Dazhen Wan; Hongguang Li; Weiran Nie; Cheng Li; Wei Peng 011; Minlie Huang (ACL/IJCNLP (1), 2021)

Moncode: A Multiscale Network Coding Software Implementation Library. - Jun Yin 004; Jiaxin Wen; Xian Ling; Yukun Yao; Lei Wang 054; Yuwang Yang (WCSP, 2021)

AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. - Jiaxin Wen; Yeshuang Zhu; Jinchao Zhang 001; Jie Zhou 016; Minlie Huang (EMNLP (Findings), 2022)

Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. - Zhexin Zhang; Jiaxin Wen; Jian Guan 002; Minlie Huang (NAACL-HLT, 2022)

AugESC: Large-scale Data Augmentation for Emotional Support Conversation with Pre-trained Language Models. - Chujie Zheng; Sahand Sabour; Jiaxin Wen; Minlie Huang (CoRR, 2022)

Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China. - Sahand Sabour; Wen Zhang; Xiyao Xiao; Yuwei Zhang; Yinhe Zheng; Jiaxin Wen; Jialu Zhao; Minlie Huang (CoRR, 2022)

AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning. - Jiaxin Wen; Yeshuang Zhu; Jinchao Zhang 001; Jie Zhou 016; Minlie Huang (CoRR, 2022)

ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. - Zhexin Zhang; Jiaxin Wen; Minlie Huang (ACL (1), 2023)

AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation. - Chujie Zheng; Sahand Sabour; Jiaxin Wen; Zheng Zhang 020; Minlie Huang (ACL (Findings), 2023)

Unveiling the Implicit Toxicity in Large Language Models. - Jiaxin Wen; Pei Ke; Hao Sun; Zhexin Zhang; Chengfei Li; Jinfeng Bai; Minlie Huang (EMNLP, 2023)

Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. - Jiaxin Wen; Hao Zhou 012; Jian Guan 002; Jie Zhou 016; Minlie Huang (EMNLP, 2023)

Re3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training. - Jiaxin Wen; Hao Zhou; Minlie Huang (CoRR, 2023)

A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China. - Sahand Sabour; Wen Zhang; Xiyao Xiao; Yuwei Zhang; Yinhe Zheng; Jiaxin Wen; Jialu Zhao; Minlie Huang (Frontiers Digit. Health, 2023)

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training. - Yuxian Gu; Jiaxin Wen; Hao Sun 012; Yi Song; Pei Ke; Chujie Zheng; Zheng Zhang 020; Jianzhu Yao; Lei Liu 047; Xiaoyan Zhu 001; Minlie Huang (Mach. Intell. Res., 2023)

Learning Task Decomposition to Assist Humans in Competitive Programming. - Jiaxin Wen; Ruiqi Zhong; Pei Ke; Zhihong Shao; Hongning Wang; Minlie Huang (ACL (1), 2024)

URLLC and eMBB Multiplexing with RIS: Modeling, Analysis, and Optimization. - Kaiwen Zhuang; Linpeng Zhong; Jiaxin Wen; Limin Li; Haoran Peng (WOCC, 2024)

CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning. - Jiaxin Wen; Jian Guan 002; Hongning Wang; Wei Wu 014; Minlie Huang (CoRR, 2024)

Nefis: A network coding based flexible device-to-device video streaming scheme. - Jun Yin 004; Jiaxin Wen; Ming Zhu 017; Yulong Li; Lei Wang 054 (J. Netw. Comput. Appl., 2024)

Enhancement of tripartite entanglement via periodically modulated fields with an atom-assisted optomechanical system. - Jiaxin Wen; Yi Lu; Zhenghong Li; Xihua Yang (Quantum Inf. Process., 2024)

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results. - Xiaohong Liu 001; Xiongkuo Min; Qiang Hu 003; Xiaoyun Zhang 001; Jie Guo; Guangtao Zhai; Shushi Wang; Yingjie Zhou; Lu Liu 005; Jingxin Li; Liu Yang; Farong Wen; et al. (CVPR Workshops, 2025)

Quality Assessment for Talking Head Videos via Multi-modal Feature Representation. - Mengjing Su; Yi Wang; Tuo Chen; Chunxiao Li; Shuaiyu Zhao; Jiaxin Wen; Chuyi Lin; Sitong Liu; Ningxin Chu; Yu Zhou 016 (CVPR Workshops, 2025)

CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. - Jiaxin Wen; Jian Guan 002; Hongning Wang; Wei Wu 014; Minlie Huang (ICLR, 2025)

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats. - Jiaxin Wen; Vivek Hebbar; Caleb Larson; Aryan Bhatt; Ansh Radhakrishnan; Mrinank Sharma; Henry Sleight; Shi Feng 005; He He 001; Ethan Perez; Buck Shlegeris; Akbir Khan (ICLR, 2025)

Language Models Learn to Mislead Humans via RLHF. - Jiaxin Wen; Ruiqi Zhong; Akbir Khan; Ethan Perez; Jacob Steinhardt; Minlie Huang; Samuel R. Bowman; He He 001; Shi Feng 005 (ICLR, 2025)

Predicting Empirical AI Research Outcomes with Language Models. - Jiaxin Wen; Chenglei Si; Yueh-han Chen; He He; Shi Feng (CoRR, 2025)

Unsupervised Elicitation of Language Models. - Jiaxin Wen; Zachary Ankner; Arushi Somani; Peter Hase; Samuel Marks; Jacob Goldman-Wetzler; Linda Petrini; Henry Sleight; Collin Burns; He He 001; Shi Feng 005; Ethan Perez; et al. (CoRR, 2025)