How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. - Zhiliang Tian; Rui Yan 001; Lili Mou; Yiping Song; Yansong Feng 002; Dongyan Zhao 001 (ACL (2), 2017)

Diversifying Neural Conversation Model with Maximal Marginal Relevance. - Yiping Song; Zhiliang Tian; Dongyan Zhao 001; Ming Zhang 004; Rui Yan 001 (IJCNLP(2), 2017)

Learning to Abstract for Memory-augmented Conversational Response Generation. - Zhiliang Tian; Wei Bi; Xiaopeng Li; Nevin L. Zhang (ACL (1), 2019)

Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. - Zhourong Chen; Xiaopeng Li; Zhiliang Tian; Nevin L. Zhang (ECSQARU, 2019)

Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. - Zhiliang Tian; Wei Bi; Dongkyu Lee; Lanqing Xue; Yiping Song; Xiaojiang Liu; Nevin L. Zhang (ACL, 2020)

Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. - Zhiliang Tian; Wei Bi; Zihan Zhang; Dongkyu Lee; Yiping Song; Nevin L. Zhang (AAAI, 2021)

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. - Dongkyu Lee; Zhiliang Tian; Lanqing Xue; Nevin L. Zhang (ACL/IJCNLP (1), 2021)

Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. - Yu Cao 014; Liang Ding 006; Zhiliang Tian; Meng Fang (ICASSP, 2021)

Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. - Yingxiu Zhao; Zhiliang Tian; Huaxiu Yao; Yinhe Zheng; Dongkyu Lee; Yiping Song; Jian Sun 021; Nevin L. Zhang (ACL (1), 2022)

Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. - Zhiliang Tian; Zhihua Wen; Zhenghao Wu; Yiping Song; Jintao Tang; Dongsheng Li 001; Nevin L. Zhang (DASFAA (3), 2022)

Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. - Dongkyu Lee; Zhiliang Tian; Yingxiu Zhao; Ka Chun Cheung; Nevin Lianwen Zhang (EMNLP, 2022)

Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. - Zhiliang Tian; Yinliang Wang; Yiping Song; Chi Zhang; Dongkyu Lee; Yingxiu Zhao; Dongsheng Li 001; Nevin L. Zhang (EMNLP (Findings), 2022)

Semi-Supervised Lifelong Language Learning. - Yingxiu Zhao; Yinhe Zheng; Bowen Yu 002; Zhiliang Tian; Dongkyu Lee; Jian Sun 021; Yongbin Li; Nevin L. Zhang (EMNLP (Findings), 2022)

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. - Yingxiu Zhao; Yinhe Zheng; Zhiliang Tian; Chang Gao; Jian Sun 021; Nevin L. Zhang (EMNLP, 2022)

Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. - Yiping Song; Zheng Xie; Jianping Li; Luchen Liu; Ming Zhang 004; Zhiliang Tian (ICASSP, 2022)

Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. - Yiping Song; Wei Ju 001; Zhiliang Tian; Luchen Liu; Ming Zhang 004; Zheng Xie (ICONIP (3), 2022)

SeqPATE: Differentially Private Text Generation via Knowledge Distillation. - Zhiliang Tian; Yingxiu Zhao; Ziyue Huang; Yu-Xiang Wang 003; Nevin L. Zhang; He He (NeurIPS, 2022)

Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. - Yingxiu Zhao; Yinhe Zheng; Zhiliang Tian; Chang Gao; Bowen Yu 002; Haiyang Yu 003; Yongbin Li; Jian Sun 021; Nevin L. Zhang (CoRR, 2022)

Semi-Supervised Lifelong Language Learning. - Yingxiu Zhao; Yinhe Zheng; Bowen Yu 002; Zhiliang Tian; Dongkyu Lee; Jian Sun 021; Haiyang Yu 003; Yongbin Li; Nevin L. Zhang (CoRR, 2022)

StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. - Kangchen Zhu; Zhiliang Tian; Ruifeng Luo; Xiaoguang Mao (CoRR, 2022)

DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. - Menglong Lu; Zhen Huang 006; Yunxiang Zhao; Zhiliang Tian; Yang Liu 259; Dongsheng Li 001 (ACL (1), 2023)

GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. - Zhihua Wen; Zhiliang Tian; Zhen Huang 006; Yuxin Yang; Zexin Jian; Changjian Wang; Dongsheng Li 001 (ACL (Findings), 2023)

Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. - Yiqin Lv; Zhiliang Tian; Zheng Xie; Yiping Song (CIKM, 2023)

GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. - Zhihua Wen; Zhiliang Tian; Wei Wu; Yuxin Yang; Yanqi Shi; Zhen Huang 006; Dongsheng Li 001 (EMNLP (Findings), 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Changjian Wang; Dongsheng Li 001; Dacheng Tao (EMNLP, 2023)

RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. - Peijie Dong; Xin Niu 002; Lujun Li 001; Zhiliang Tian; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

Progressive Meta-Pooling Learning for Lightweight Image Classification Model. - Peijie Dong; Xin Niu 002; Zhiliang Tian; Lujun Li 001; Xiaodong Wang 002; Zimian Wei; Hengyue Pan; Dongsheng Li 001 (ICASSP, 2023)

EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. - Peijie Dong; Lujun Li 001; Zimian Wei; Xin Niu 002; Zhiliang Tian; Hengyue Pan (ICCV, 2023)

Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. - Chunxi Guo; Zhiliang Tian; Jintao Tang; Shasha Li 001; Zhihua Wen; Kaixuan Wang; Ting Wang 009 (ICONIP (6), 2023)

Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. - Menglong Lu; Zhen Huang 006; Zhiliang Tian; Yunxiang Zhao; Xuanyu Fei; Dongsheng Li 001 (IJCAI, 2023)

Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval. - Chunxi Guo; Zhiliang Tian; Jintao Tang; Pancheng Wang; Zhihua Wen; Kang Yang; Ting Wang 009 (PRICAI (2), 2023)

Hashtag-Guided Low-Resource Tweet Classification. - Shizhe Diao; Sedrick Scott Keh; Liangming Pan; Zhiliang Tian; Yan Song 003; Tong Zhang 001 (WWW, 2023)

A Multi-view Meta-learning Approach for Multi-modal Response Generation. - Zhiliang Tian; Zheng Xie; Fuqiang Lin; Yiping Song (WWW, 2023)

A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL. - Chunxi Guo; Zhiliang Tian; Jintao Tang; Pancheng Wang; Zhihua Wen; Kang Yang; Ting Wang 009 (CoRR, 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. - Qingyue Wang; Liang Ding 006; Yanan Cao 001; Zhiliang Tian; Shi Wang 002; Dacheng Tao; Li Guo 001 (CoRR, 2023)

TVT: Training-Free Vision Transformer Search on Tiny Datasets. - Zimian Wei; Hengyue Pan; Lujun Li 001; Peijie Dong; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (CoRR, 2023)

Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. - Zimian Wei; Lujun Li 001; Peijie Dong; Zheng Hui; Anggeng Li; Menglong Lu; Hengyue Pan; Zhiliang Tian; Dongsheng Li 001 (CoRR, 2023)

360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. - Shen Gao; Hao Li; Zhengliang Shi; Chengrui Huang 001; Quan Tu; Shuo Shang; Zhiliang Tian; Minlie Huang (ACL (Findings), 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Haoqi Zheng; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (ACL (1), 2024)

Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. - Haiyang Wang; Zhiliang Tian; Xin Song; Yue Zhang; Yuchen Pan; Hongkui Tu; Minlie Huang; Bin Zhou 004 (LREC/COLING, 2024)

StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. - Kangchen Zhu; Zhiliang Tian; Jingyu Wei; Ruifeng Luo; Yiping Song; Xiaoguang Mao (LREC/COLING, 2024)

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. - Yuxuan Guo; Zhiliang Tian; Yiping Song; Tianlun Liu; Liang Ding 006; Dongsheng Li 001 (EMNLP, 2024)

Meta Learning Based Rumor Detection with Awareness of Social Bot. - Zhilong Lv; Zhen Huang 006; Menglong Lu; Yuxin Yang; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001 (KSEM (3), 2024)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. - Zhihua Wen; Zhiliang Tian; Zexin Jian; Zhen Huang 006; Pei Ke; Yifu Gao; Minlie Huang; Dongsheng Li (NeurIPS, 2024)

Memory-enhanced text style transfer with dynamic style learning and calibration. - Fuqiang Lin; Yiping Song; Zhiliang Tian; Wangqun Chen; Diwen Dong; Bo Liu 014 (Sci. China Inf. Sci., 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (CoRR, 2024)

Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. - Xingzhi Zhou 002; Zhiliang Tian; Ka Chun Cheung; Simon See; Nevin L. Zhang (CoRR, 2024)

TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. - Hengyue Pan; Yixin Chen 004; Zhiliang Tian; Peng Qiao; Linbo Qiao; Dongsheng Li 001 (CoRR, 2024)

LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. - Yiping Song; Juhua Zhang; Zhiliang Tian; Yuxin Yang; Minlie Huang; Dongsheng Li 001 (CoRR, 2024)

Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game. - Qianqiao Xu; Zhiliang Tian; Hongyan Wu; Zhen Huang 006; Yiping Song; Feng Liu; Dongsheng Li 001 (CoRR, 2024)

360{ deg}REA: Towards A Reusable Experience Accumulation with 360{ deg} Assessment for Multi-Agent System. - Shen Gao; Hao Li; Zhengliang Shi; Chengrui Huang 001; Quan Tu; Zhiliang Tian; Minlie Huang; Shuo Shang (CoRR, 2024)

LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions. - Xiaoran Zhao; Tianhao Wu; Yu Lai; Zhiliang Tian; Zhen Huang 006; Yahui Liu; Zejiang He; Dongsheng Li 001 (CoRR, 2024)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. - Zhihua Wen; Zhiliang Tian; Zexin Jian; Zhen Huang 006; Pei Ke; Yifu Gao; Minlie Huang; Dongsheng Li 001 (CoRR, 2024)

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. - Xinyue Fang; Zhen Huang 006; Zhiliang Tian; Minghui Fang 002; Ziyi Pan; Quntian Fang; Zhihua Wen; Hengyue Pan; Dong-sheng Li 001 (CoRR, 2024)

SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding. - Zekun Tao; Changjian Wang; Zhiliang Tian; Kele Xu; Yong Guo; Shanshan Li 001; Yanru Bai; Da Xie (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. - Xingzhi Zhou 002; Zhiliang Tian; Boyang Zhang; Yibo Zhang; Ka Chun Cheung; Simon See; Hao Yang; Yun Zhou; Nevin L. Zhang (AAAI, 2025)

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. - Xinyue Fang; Zhen Huang 006; Zhiliang Tian; Minghui Fang 002; Ziyi Pan; Quntian Fang; Zhihua Wen; Hengyue Pan; Dongsheng Li (AAAI, 2025)

Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning. - Haoran Li; Ziyi Su; Yun Xue; Zhiliang Tian; Yiping Song; Minlie Huang (ACL (1), 2025)

AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. - Shilong Pan; Zhiliang Tian; Zhen Huang 006; Wanlong Yu; Zhihua Wen; Xinwang Liu 002; Kai Lu 001; Minlie Huang; Dongsheng Li 001 (ACL (1), 2025)

DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. - Zhonghao Sun; Zhiliang Tian; Yiping Song; Yuyi Si; Juhua Zhang; Minlie Huang; Kai Lu 001; Zeyu Xiong; Xinwang Liu 002; Dongsheng Li 001 (ACL (Findings), 2025)

LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis. - Zhiliang Tian; Jingyuan Huang; Zejiang He; Zhen Huang 006; Menglong Lu; Linbo Qiao; Songzhu Mei; Yijie Wang 001; Dongsheng Li (ACL (1), 2025)

Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. - Haiyang Wang; Zhiliang Tian; Yuchen Pan; Xin Song; Xin Niu 002; Minlie Huang; Bin Zhou 004 (ACL (1), 2025)

DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. - Juhua Zhang; Zhiliang Tian; Minghang Zhu; Yiping Song; Taishu Sheng; Siyi Yang; Qiunan Du; Xinwang Liu 002; Minlie Huang; Dongsheng Li 001 (ACL (Findings), 2025)

Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. - Xingzhi Zhou 002; Boyang Zhang; Zhiliang Tian; Yibo Zhang; Xin Niu 002; Ka Chun Cheung; Simon See; Nevin L. Zhang (ICASSP, 2025)

LTOS: Layout-controllable Text-object Synthesis via Adaptive Cross-attention Fusions. - Xiaoran Zhao; Tianhao Wu; Yu Lai; Zhiliang Tian; Zhen Huang 006; Yahui Liu; Zejiang He; Dongsheng Li (ICASSP, 2025)

Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. - Zhihua Wen; Zhizhao Liu; Zhiliang Tian; Shilong Pan; Zhen Huang 006; Dongsheng Li 001; Minlie Huang (WWW, 2025)

Recursively summarizing enables long-term dialogue memory in large language models. - Qingyue Wang; Yanhe Fu; Yanan Cao 001; Shuai Wang 011; Zhiliang Tian; Liang Ding 006 (Neurocomputing, 2025)

Multi-pattern retrieval-augmented framework for Text-to-SQL with Poincaré-Skeleton retrieval and meta-instruction reasoning. - Chunxi Guo; Zhiliang Tian; Jintao Tang; Shasha Li 001; Ting Wang 009 (Inf. Process. Manag., 2025)

MiSum: Multi-modality Heterogeneous Code Graph Learning for Multi-intent Binary Code Summarization. - Kangchen Zhu; Zhiliang Tian; Shangwen Wang; Weiguo Chen; Zixuan Dong; Mingyue Leng; Xiaoguang Mao (Proc. ACM Softw. Eng., 2025)

Handling polysemous triggers and arguments in event extraction: an adaptive semantics learning strategy with reward-penalty mechanism. - Haili Li; Zhiliang Tian; Xiaodong Wang 002; Yunyan Zhou; Shilong Pan; Jie Zhou 032; Qiubo Xu; Dongsheng Li 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

RLJP: Legal Judgment Prediction via First-Order Logic Rule-enhanced with Large Language Models. - Yue Zhang; Zhiliang Tian; Shicheng Zhou; Haiyang Wang; Wenqing Hou; Yuying Liu; Xuechen Zhao; Minlie Huang; Ye Wang 015; Bin Zhou 004 (CoRR, 2025)