| 2026 | AAAI | WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety. | Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu, Zihan Chen, Zhonghao Sun, Minlie Huang, Dongsheng Li |
| 2026 | AAAI | DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering. | Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang |
| 2026 | ACL | Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs' Hallucinations. | Xinyue Fang, Zhiliang Tian, Zhen Huang, Ziyi Pan, Zhihua Wen, Xi Wang, Quntian Fang, Dongsheng Li |
| 2026 | ACL | DMHM: Density-aware Manifold Learning and Hybrid Mahalanobis Energy for LLMs-generated Text Detection. | Tianle Liu, Zhiliang Tian, Zhen Huang, Tianlun Liu, Jingyuan Huang, Zhaoning Zhang, Chengcheng Shao, Dongsheng Li |
| 2026 | ACL | CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher. | Tianlun Liu, Zhiliang Tian, Zhen Huang, Xingzhi Zhou, Wanlong Yu, Tianle Liu, Feng Liu, Dongsheng Li |
| 2026 | ACL | Emotion Trajectory-aware Retrieval for Markov-driven Emotion Anticipation in LLM-based Emotional Support Conversation. | Hongyan Wu, Zhiliang Tian, Zhen Huang, Tengyue Hu, Linbo Qiao, Yifu Gao, Feng Liu, Dongsheng Li |
| 2026 | WWW | Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. | Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li |
| 2026 | WSDM | KnowFC: Navigating Knowledge Conflicts in Large Language Model-based Fact-Checking. | Yue Zhang, Shicheng Zhou, Xiaopeng Li, Zhiliang Tian, Yifu Gao, Shiyi Zhang, Wenqing Hou, Yuying Liu, Bin Zhou |
| 2025 | AAAI | Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization. | Xingzhi Zhou, Zhiliang Tian, Boyang Zhang, Yibo Zhang, Ka Chun Cheung, Simon See, Hao Yang, Yun Zhou, Nevin L. Zhang |
| 2025 | AAAI | Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. | Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dongsheng Li |
| 2025 | ACL | Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning. | Haoran Li, Ziyi Su, Yun Xue, Zhiliang Tian, Yiping Song, Minlie Huang |
| 2025 | ACL | AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. | Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li |
| 2025 | ACL | DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. | Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li |
| 2025 | ACL | LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis. | Zhiliang Tian, Jingyuan Huang, Zejiang He, Zhen Huang, Menglong Lu, Linbo Qiao, Songzhu Mei, Yijie Wang, Dongsheng Li |
| 2025 | ACL | Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. | Haiyang Wang, Zhiliang Tian, Yuchen Pan, Xin Song, Xin Niu, Minlie Huang, Bin Zhou |
| 2025 | ACL | 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, Minlie Huang, Dongsheng Li |
| 2025 | EMNLP | Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes. | Qiunan Du, Zhiliang Tian, Zhen Huang, Kailun Bian, Tianlun Liu, Zhaoning Zhang, Xinwang Liu, Feng Liu, Dong Sheng Li |
| 2025 | EMNLP | GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection. | Zejiang He, Jingyuan Huang, Menglong Lu, Zhen Huang, Shanshan Liu, Zhiliang Tian, Dong Sheng Li |
| 2025 | EMNLP | Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference. | Libo Zhang, Zhaoning Zhang, Xubaizhou, Rui Li, Zhiliang Tian, Songzhu Mei, Dongsheng Li |
| 2025 | ICASSP | Resilient Test-Time Adaptation by Mitigating Batch-Normalization Overfitting. | Xingzhi Zhou, Boyang Zhang, Zhiliang Tian, Yibo Zhang, Xin Niu, Ka Chun Cheung, Simon See, Nevin L. Zhang |
| 2025 | ICASSP | LTOS: Layout-controllable Text-object Synthesis via Adaptive Cross-attention Fusions. | Xiaoran Zhao, Tianhao Wu, Yu Lai, Zhiliang Tian, Zhen Huang, Yahui Liu, Zejiang He, Dongsheng Li |
| 2025 | WWW | Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. | Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang |
| 2024 | ACL | 360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. | Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang |
| 2024 | ACL | POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. | Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li |
| 2024 | COLING | 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 |
| 2024 | COLING | StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. | Kangchen Zhu, Zhiliang Tian, Jingyu Wei, Ruifeng Luo, Yiping Song, Xiaoguang Mao |
| 2024 | EMNLP | Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. | Yuxuan Guo, Zhiliang Tian, Yiping Song, Tianlun Liu, Liang Ding, Dongsheng Li |
| 2024 | KSEM | Meta Learning Based Rumor Detection with Awareness of Social Bot. | Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li |
| 2023 | ACL | DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. | Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li |
| 2023 | ACL | GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. | Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, Dongsheng Li |
| 2023 | CIKM | Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. | Yiqin Lv, Zhiliang Tian, Zheng Xie, Yiping Song |
| 2023 | EMNLP | 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, Dongsheng Li |
| 2023 | EMNLP | Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. | Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao |
| 2023 | ICASSP | RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. | Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li |
| 2023 | ICASSP | Progressive Meta-Pooling Learning for Lightweight Image Classification Model. | Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li |
| 2023 | ICCV | EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. | Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan |
| 2023 | ICONIP | 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, Zhihua Wen, Kaixuan Wang, Ting Wang |
| 2023 | IJCAI | Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. | Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li |
| 2023 | PRICAI | 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 |
| 2023 | WWW | Hashtag-Guided Low-Resource Tweet Classification. | Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang |
| 2023 | WWW | A Multi-view Meta-learning Approach for Multi-modal Response Generation. | Zhiliang Tian, Zheng Xie, Fuqiang Lin, Yiping Song |
| 2022 | ACL | 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, Nevin L. Zhang |
| 2022 | DASFAA | Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. | Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang |
| 2022 | EMNLP | Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. | Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Lianwen Zhang |
| 2022 | EMNLP | 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, Nevin L. Zhang |
| 2022 | EMNLP | Semi-Supervised Lifelong Language Learning. | Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Yongbin Li, Nevin L. Zhang |
| 2022 | EMNLP | Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. | Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Jian Sun, Nevin L. Zhang |
| 2022 | ICASSP | Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. | Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian |
| 2022 | ICONIP | Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. | Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie |
| 2021 | AAAI | 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 |
| 2021 | ACL | Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. | Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang |
| 2021 | ICASSP | Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. | Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang |
| 2020 | ACL | 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 |
| 2019 | ACL | Learning to Abstract for Memory-augmented Conversational Response Generation. | Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang |
| 2019 | ECSQARU | Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. | Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang |
| 2017 | ACL | How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. | Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao |
| 2017 | IJCNLP | Diversifying Neural Conversation Model with Maximal Marginal Relevance. | Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang, Rui Yan |