Image Compression. - Lei Sha (Encyclopedia of GIS, 2008)

Event Schema Induction Based on Relational Co-occurrence over Multiple Documents. - Tingsong Jiang; Lei Sha; Zhifang Sui (NLPCC, 2014)

Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. - Li Li; Houfeng Wang; Xu Sun 001; Baobao Chang; Shi Zhao; Lei Sha (EMNLP, 2015)

Recognizing Textual Entailment Using Probabilistic Inference. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2015)

RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. - Lei Sha; Jing Liu 022; Chin-Yew Lin; Sujian Li; Baobao Chang; Zhifang Sui (ACL (1), 2016)

Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (CCL, 2016)

Towards Time-Aware Knowledge Graph Completion. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Baobao Chang; Sujian Li; Zhifang Sui (COLING, 2016)

Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. - Lei Sha; Baobao Chang; Zhifang Sui; Sujian Li (COLING, 2016)

Encoding Temporal Information for Time-Aware Link Prediction. - Tingsong Jiang; Tianyu Liu 001; Tao Ge 001; Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (EMNLP, 2016)

Capturing Argument Relationship for Chinese Semantic Role Labeling. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui; Tingsong Jiang (EMNLP, 2016)

Joint Learning Templates and Slots for Event Schema Induction. - Lei Sha; Sujian Li; Baobao Chang; Zhifang Sui (HLT-NAACL, 2016)

Attentive Interactive Neural Networks for Answer Selection in Community Question Answering. - Xiaodong Zhang 022; Sujian Li; Lei Sha; Houfeng Wang (AAAI, 2017)

A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. - Qiaolin Xia; Lei Sha; Baobao Chang; Zhifang Sui (ACL (1), 2017)

Topic medical concept embedding: Multi-sense representation learning for medical concept. - Feng Qian; ChengYue Gong; Luchen Liu; Lei Sha; Ming Zhang 004 (BIBM, 2017)

Syntax Aware LSTM model for Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (SPNLP@EMNLP, 2017)

Will Repeated Reading Benefit Natural Language Understanding? - Lei Sha; Feng Qian; Zhifang Sui (NLPCC, 2017)

Syntax Aware LSTM Model for Chinese Semantic Role Labeling. - Feng Qian; Lei Sha; Baobao Chang; Luchen Liu; Ming Zhang 004 (CoRR, 2017)

Image Compression. - Lei Sha (Encyclopedia of GIS, 2017)

Table-to-Text Generation by Structure-Aware Seq2seq Learning. - Tianyu Liu 001; Kexiang Wang; Lei Sha; Baobao Chang; Zhifang Sui (AAAI, 2018)

Order-Planning Neural Text Generation From Structured Data. - Lei Sha; Lili Mou; Tianyu Liu 001; Pascal Poupart; Sujian Li; Baobao Chang; Zhifang Sui (AAAI, 2018)

Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. - Lei Sha; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

A Multi-View Fusion Neural Network for Answer Selection. - Lei Sha; Xiaodong Zhang 022; Feng Qian; Baobao Chang; Zhifang Sui (AAAI, 2018)

Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. - Chen Shi; Qi Chen 009; Lei Sha; Sujian Li; Xu Sun 001; Houfeng Wang; Lintao Zhang (EMNLP, 2018)

Fine Time Resolution TDC Architectures -Integral and Delta-Sigma Types. - Haruo Kobayashi 001; Kosuke Machida; Yuto Sasaki; Yusuke Osawa; Pengfei Zhang; Lei Sha; Yuki Ozawa; Anna Kuwana (ASICON, 2019)

High-Resolution Low-Sampling-Rate Δ∑ ADC Linearity Short-Time Testing Algorithm. - Jiang-Lin Wei; Takashi Ishida 003; Toshiyuki Okamoto; Tamotsu Ichikawa; Nene Kushita; Takahiro Arai; Lei Sha; Anna Kuwana; Haruo Kobayashi 001; Takayuki Nakatani; Kazumi Hatayama; Keno Sato (ASICON, 2019)

We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction. - Chen Shi; Qi Chen 009; Lei Sha; Hui Xue 004; Sujian Li; Lintao Zhang; Houfeng Wang (NLPCC (1), 2019)

Gradient-guided Unsupervised Lexically Constrained Text Generation. - Lei Sha (EMNLP (1), 2020)

Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. - Lei Sha; Chen Shi; Qi Chen 009; Lintao Zhang; Houfeng Wang (IJCNN, 2020)

Improved Nagata Current Source Insensitive to Temperature and Power Supply Voltage. - Takashi Hosono; Lei Sha; Souma Yamamoto; Mayu Hirano; Takashi Ida; Anna Kuwana; Haruo Kobayashi 001; Yoichi Moroshima; Hiromichi Harakawa; Takeshi Oikawa (ISOCC, 2020)

Simple Reference Voltage Generation Circuit Insensitive to Temperature. - Lei Sha; Anna Kuwana; Masashi Horiguchi; Haruo Kobayashi 001 (ISOCC, 2020)

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (CoRR, 2020)

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (AAAI, 2021)

Multi-type Disentanglement without Adversarial Training. - Lei Sha; Thomas Lukasiewicz (AAAI, 2021)

Controlling Text Edition by Changing Answers of Specific Questions. - Lei Sha; Patrick Hohenecker; Thomas Lukasiewicz (ACL/IJCNLP (Findings), 2021)

Associative Memories via Predictive Coding. - Tommaso Salvatori; Yuhang Song 001; Yujian Hong; Lei Sha; Simon Frieder; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (NeurIPS, 2021)

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Kam-Fai Wong; Daxin Jiang (CoRR, 2021)

Rationale production to support clinical decision-making. - Niall Taylor; Lei Sha; Dan W. Joyce; Thomas Lukasiewicz; Alejo J. Nevado-Holgado; Andrey Kormilitzin (CoRR, 2021)

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Daxin Jiang; Kam-Fai Wong (AACL/IJCNLP (1), 2022)

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. - Yuntao Li; Can Xu; Huang Hu; Lei Sha; Yan Zhang; Daxin Jiang (INTERSPEECH, 2022)

Bird-Eye Transformers for Text Generation Models. - Lei Sha; Yuhang Song 001; Yordan Yordanov; Tommaso Salvatori; Thomas Lukasiewicz (CoRR, 2022)

Incremental Predictive Coding: A Parallel and Fully Automatic Learning Algorithm. - Tommaso Salvatori; Yuhang Song 001; Beren Millidge; Zhenghua Xu 001; Lei Sha; Cornelius Emde; Rafal Bogacz; Thomas Lukasiewicz (CoRR, 2022)

Rationalizing predictions by adversarial information calibration. - Lei Sha; Oana-Maria Camburu; Thomas Lukasiewicz (Artif. Intell., 2023)

Be a Multitude to Itself: A Prompt Evolution Framework for Red Teaming. - Rui Li 094; Peiyi Wang; Jingyuan Ma; Di Zhang; Lei Sha; Zhifang Sui (EMNLP (Findings), 2024)

ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings. - Hao Wang; Hao Li; Minlie Huang; Lei Sha (EMNLP, 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)

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator. - Junda Zhu 003; Lingyong Yan; Haibo Shi; Dawei Yin; Lei Sha (EMNLP, 2024)

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks. - Tommaso Salvatori; Yuhang Song 001; Yordan Yordanov; Beren Millidge; Lei Sha; Cornelius Emde; Zhenghua Xu 001; Rafal Bogacz; Thomas Lukasiewicz (ICLR, 2024)

A Cross-Site Scripting Attack Protection Framework Based on Managed Proxy. - Cheng Tang; Qingfeng Wang; Guozhen Cheng; Hao Liang; Jianhua Peng; Meiyue Yang; Wenyan Liu; Ming Liu; Lei Sha (TrustCom, 2024)

Harnessing the Plug-and-Play Controller by Prompting. - Hao Wang; Lei Sha (CoRR, 2024)

From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings. - Hao Wang; Hao Li; Minlie Huang; Lei Sha (CoRR, 2024)

Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation. - Guanhua Chen; Wenhan Yu; Lei Sha (CoRR, 2024)

Towards a Unified View of Preference Learning for Large Language Models: A Survey. - Bofei Gao; Feifan Song 001; Yibo Miao; Zefan Cai; Zhe Yang 013; Liang Chen 024; Helan Hu; Runxin Xu; Qingxiu Dong; Ce Zheng; Wen Xiao; Ge Zhang 009; et al. (CoRR, 2024)

BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language Models. - Xinyuan Wang; Victor Shea-Jay Huang; Renmiao Chen; Hao Wang; Chengwei Pan; Lei Sha; Minlie Huang (CoRR, 2024)

Derail Yourself: Multi-turn LLM Jailbreak Attack through Self-discovered Clues. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (CoRR, 2024)

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak. - Hao Wang; Hao Li; Junda Zhu 003; Xinyuan Wang; Chengwei Pan; Minlie Huang; Lei Sha (CoRR, 2024)

Plug-and-Play Training Framework for Preference Optimization. - Jingyuan Ma; Rui Li; Zheng Li; Lei Sha; Zhifang Sui (CoRR, 2024)

Text Attribute Control via Closed-Loop Disentanglement. - Lei Sha; Thomas Lukasiewicz (Trans. Assoc. Comput. Linguistics, 2024)

Correcting Flaws in Common Disentanglement Metrics. - Louis Mahon; Lei Sha; Thomas Lukasiewicz (Trans. Mach. Learn. Res., 2024)

How Far are LLMs from Being Our Digital Twins? A Benchmark for Persona-Based Behavior Chain Simulation. - Rui Li 094; Heming Xia; Xinfeng Yuan; Qingxiu Dong; Lei Sha; Wenjie Li 002; Zhifang Sui (ACL (Findings), 2025)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (ACL (1), 2025)

LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. - Qibing Ren; Hao Li 069; Dongrui Liu; Zhanxu Xie; Xiaoya Lu; Yu Qiao 001; Lei Sha; Junchi Yan; Lizhuang Ma; Jing Shao (ACL (1), 2025)

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. - Bofei Gao; Feifan Song 001; Zhe Yang 013; Zefan Cai; Yibo Miao; Qingxiu Dong; Lei Li 039; Chenghao Ma; Liang Chen 024; Runxin Xu; Zhengyang Tang; Benyou Wang; et al. (ICLR, 2025)

HSF: Defending against Jailbreak Attacks with Hidden State Filtering. - Cheng Qian; Hainan Zhang; Lei Sha; Zhiming Zheng 001 (WWW (Companion Volume), 2025)

Resource Allocation Algorithm for Sensing Video Transmission Over Cell-Free Radio Access Networks. - Chunyang Liu; Li Yu; Lei Sha; Changwei Zhang; Dongming Wang 002 (IEEE Open J. Commun. Soc., 2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. - Junda Zhu 003; Lingyong Yan; Shuaiqiang Wang; Dawei Yin; Lei Sha (CoRR, 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)

Towards Harmonized Uncertainty Estimation for Large Language Models. - Rui Li 094; Jing Long; Muge Qi; Heming Xia; Lei Sha; Peiyi Wang; Zhifang Sui (CoRR, 2025)

HauntAttack: When Attack Follows Reasoning as a Shadow. - Jingyuan Ma; Rui Li 094; Zheng Li; Junfeng Liu; Lei Sha; Zhifang Sui (CoRR, 2025)

Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment. - Hao Li; Lijun Li; Zhenghao Lu; Xianyi Wei; Rui Li; Jing Shao; Lei Sha (CoRR, 2025)