Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs. - Fei Zuo; Xiaopeng Li 001; Patrick Young; Lannan Luo; Qiang Zeng 001; Zhexin Zhang (NDSS, 2019)

OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. - Jian Guan 002; Zhexin Zhang; Zhuoer Feng; Zitao Liu 001; Wenbiao Ding; Xiaoxi Mao; Changjie Fan; Minlie Huang (ACL/IJCNLP (1), 2021)

A Customized VR Rendering with Neural-Network Generated Frames for Reducing VR Dizziness. - Zhexin Zhang; Jun-Li Lu; Yoichi Ochiai (HCI (38), 2021)

Selecting Stickers in Open-Domain Dialogue through Multitask Learning. - Zhexin Zhang; Yeshuang Zhu; Zhengcong Fei; Jinchao Zhang 001; Jie Zhou 016 (ACL (Findings), 2022)

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. - Zhexin Zhang; Jiale Cheng; Hao Sun 012; Jiawen Deng; Fei Mi; Yasheng Wang; Lifeng Shang; Minlie Huang (EMNLP (Findings), 2022)

Automatic Comment Generation for Chinese Student Narrative Essays. - Zhexin Zhang; Jian Guan 002; Guowei Xu; Yixiang Tian; Minlie Huang (EMNLP (Demos), 2022)

Visualizing the Electroencephalography Signal Discrepancy When Maintaining Social Distancing: EEG-Based Interactive Moiré Patterns. - Jingjing Li; Ye Yang; Zhexin Zhang; Yinan Zhao; Xanat Vargas Meza; Yoichi Ochiai (HCI (21), 2022)

Indoor Auto-Navigate System for Electric Wheelchairs in a Nursing Home. - Zhexin Zhang; Jun-Li Lu; Yoichi Ochiai (HCI (7), 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)

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions. - Hao Sun 012; Zhexin Zhang; Fei Mi; Yasheng Wang; Wei Liu 005; Jianwei Cui 002; Bin Wang 004; Qun Liu 001; Minlie Huang (CoRR, 2022)

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions. - Hao Sun 012; Zhexin Zhang; Fei Mi; Yasheng Wang; Wei Liu 005; Jianwei Cui 002; Bin Wang 004; Qun Liu 001; Minlie Huang (ACL (1), 2023)

Self-Supervised Sentence Polishing by Adding Engaging Modifiers. - Zhexin Zhang; Jian Guan 002; Xin Cui; Yu Ran; Bo Liu; Minlie Huang (ACL (demo), 2023)

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

InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning. - Zhexin Zhang; Jiale Cheng; Hao Sun; Jiawen Deng; Minlie Huang (EMNLP (Findings), 2023)

Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey. - Jiawen Deng; Hao Sun 012; Zhexin Zhang; Jiale Cheng; Minlie Huang (CoRR, 2023)

Safety Assessment of Chinese Large Language Models. - Hao Sun 012; Zhexin Zhang; Jiawen Deng; Jiale Cheng; Minlie Huang (CoRR, 2023)

SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions. - Zhexin Zhang; Leqi Lei; Lindong Wu; Rui Sun; Yongkang Huang; Chong Long; Xiao Liu 036; Xuanyu Lei; Jie Tang 001; Minlie Huang (CoRR, 2023)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Minlie Huang (CoRR, 2023)

Import vertical characteristic of rain streak for single image deraining. - Zhexin Zhang; Jiajun Ding; Jun Yu 002; Yiming Yuan; Jianping Fan 001 (Multim. Syst., 2023)

SafetyBench: Evaluating the Safety of Large Language Models. - Zhexin Zhang; Leqi Lei; Lindong Wu; Rui Sun; Yongkang Huang; Chong Long; Xiao Liu 036; Xuanyu Lei; Jie Tang 001; Minlie Huang (ACL (1), 2024)

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. - Zhexin Zhang; Junxiao Yang; Pei Ke; Fei Mi; Hongning Wang; Minlie Huang (ACL (1), 2024)

A Design of Interface for Visual-Impaired People to Access Visual Information from Images Featuring Large Language Models and Visual Language Models. - Zhexin Zhang (CHI Extended Abstracts, 2024)

ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. - Zhexin Zhang; Yida Lu; Jingyuan Ma; Di Zhang; Rui Li 094; Pei Ke; Hao Sun; Lei Sha; Zhifang Sui; Hongning Wang; Minlie Huang (EMNLP (Findings), 2024)

Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack. - Shangqing Tu; Zhuoran Pan; Wenxuan Wang; Zhexin Zhang; Yuliang Sun; Jifan Yu; Hongning Wang; Lei Hou 001; Juanzi Li (CoRR, 2024)

Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. - Zhexin Zhang; Junxiao Yang; Pei Ke; Shiyao Cui; Chujie Zheng; Hongning Wang; Minlie Huang (CoRR, 2024)

Global Challenge for Safe and Secure LLMs Track 1. - Xiaojun Jia; Yihao Huang 001; Yang Liu 003; Peng Yan Tan; Weng Kuan Yau; Mun-Thye Mak; Xin Ming Sim; Wee Siong Ng; See-Kiong Ng; Hanqing Liu; Lifeng Zhou; Huanqian Yan; et al. (CoRR, 2024)

Seeker: Towards Exception Safety Code Generation with Intermediate Language Agents Framework. - Xuanming Zhang; Yuxuan Chen; Yiming Zheng; Zhexin Zhang; Yuan Yuan; Minlie Huang (CoRR, 2024)

Agent-SafetyBench: Evaluating the Safety of LLM Agents. - Zhexin Zhang; Shiyao Cui; Yida Lu; Jingzhuo Zhou; Junxiao Yang; Hongning Wang; Minlie Huang (CoRR, 2024)

LongSafety: Evaluating Long-Context Safety of Large Language Models. - Yida Lu; Jiale Cheng; Zhexin Zhang; Shiyao Cui; Cunxiang Wang; Xiaotao Gu; Yuxiao Dong; Jie Tang 001; Hongning Wang; Minlie Huang (ACL (1), 2025)

Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. - Junxiao Yang; Zhexin Zhang; Shiyao Cui; Hongning Wang; Minlie Huang (ACL (1), 2025)

AISafetyLab: A Comprehensive Framework for AI Safety Evaluation and Improvement. - Zhexin Zhang; Leqi Lei; Junxiao Yang; Xijie Huang; Yida Lu; Shiyao Cui; Renmiao Chen; Qinglin Zhang; Xinyuan Wang 009; Hao Wang; Hao Li; Xianqi Lei; et al. (CoRR, 2025)

BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. - Junxiao Yang; Jinzhe Tu; Haoran Liu; Xiaoce Wang; Chujie Zheng; Zhexin Zhang; Shiyao Cui; Caishun Chen; Tiantian He 001; Hongning Wang; Yew-Soon Ong; Minlie Huang (CoRR, 2025)

ShieldVLM: Safeguarding the Multimodal Implicit Toxicity via Deliberative Reasoning with LVLMs. - Shiyao Cui; Qinglin Zhang; Xuan Ouyang; Renmiao Chen; Zhexin Zhang; Yida Lu; Hongning Wang; Han Qiu 001; Minlie Huang (CoRR, 2025)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. - Zhexin Zhang; Xian Qi Loye; Victor Shea-Jay Huang; Junxiao Yang; Qi Zhu 011; Shiyao Cui; Fei Mi; Lifeng Shang; Yingkang Wang; Hongning Wang; Minlie Huang (CoRR, 2025)

Be Careful When Fine-tuning On Open-Source LLMs: Your Fine-tuning Data Could Be Secretly Stolen! - Zhexin Zhang; Yuhao Sun; Junxiao Yang; Shiyao Cui; Hongning Wang; Minlie Huang (CoRR, 2025)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering. - Renmiao Chen; Shiyao Cui; Xuancheng Huang; Chengwei Pan; Victor Shea-Jay Huang; Qinglin Zhang; Xuan Ouyang; Zhexin Zhang; Hongning Wang; Minlie Huang (CoRR, 2025)