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2020 – today
- 2024
[j1]Fuqiang Lin, Yiping Song, Zhiliang Tian, Wangqun Chen, Diwen Dong, Bo Liu:
Memory-enhanced text style transfer with dynamic style learning and calibration. Sci. China Inf. Sci. 67(4) (2024)- [c36]Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li:
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. ACL (1) 2024: 9976-9992 - [c35]Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang:
360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. ACL (Findings) 2024: 13149-13162 - [c34]Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou:
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. LREC/COLING 2024: 9131-9142 - [c33]Kangchen Zhu, Zhiliang Tian, Jingyu Wei, Ruifeng Luo, Yiping Song, Xiaoguang Mao:
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. LREC/COLING 2024: 15384-15397 - [c32]Yuxuan Guo, Zhiliang Tian, Yiping Song, Tianlun Liu, Liang Ding, Dongsheng Li:
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. EMNLP 2024: 22633-22646 - [c31]Zhilong Lv, Zhen Huang, Menglong Lu, Yuxin Yang, Zhiliang Tian, Xin Niu, Dongsheng Li:
Meta Learning Based Rumor Detection with Awareness of Social Bot. KSEM (3) 2024: 135-151 - [i31]Shilong Pan, Zhiliang Tian, Liang Ding, Zhen Huang, Zhihua Wen, Dongsheng Li:
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. CoRR abs/2401.05596 (2024) - [i30]Xingzhi Zhou, Zhiliang Tian, Ka Chun Cheung, Simon See, Nevin L. Zhang:
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank. CoRR abs/2401.14619 (2024) - [i29]Hengyue Pan, Yixin Chen, Zhiliang Tian, Peng Qiao, Linbo Qiao, Dongsheng Li:
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features. CoRR abs/2401.15949 (2024) - [i28]Yiping Song, Juhua Zhang, Zhiliang Tian, Yuxin Yang, Minlie Huang, Dongsheng Li:
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. CoRR abs/2402.16515 (2024) - [i27]Qianqiao Xu, Zhiliang Tian, Hongyan Wu, Zhen Huang, Yiping Song, Feng Liu, Dongsheng Li:
Learn to Disguise: Avoid Refusal Responses in LLM's Defense via a Multi-agent Attacker-Disguiser Game. CoRR abs/2404.02532 (2024) - [i26]Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Zhiliang Tian, Minlie Huang, Shuo Shang:
360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System. CoRR abs/2404.05569 (2024) - [i25]Xiaoran Zhao, Tianhao Wu, Yu Lai, Zhiliang Tian, Zhen Huang, Yahui Liu, Zejiang He, Dongsheng Li:
LTOS: Layout-controllable Text-Object Synthesis via Adaptive Cross-attention Fusions. CoRR abs/2404.13579 (2024) - [i24]Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li:
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. CoRR abs/2405.14383 (2024) - [i23]Xinyue Fang, Zhen Huang, Zhiliang Tian, Minghui Fang, Ziyi Pan, Quntian Fang, Zhihua Wen, Hengyue Pan, Dong-sheng Li:
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling. CoRR abs/2409.11283 (2024) - 2023
- [c30]Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li:
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. ACL (1) 2023: 1650-1668 - [c29]Zhihua Wen, Zhiliang Tian, Zhen Huang, Yuxin Yang, Zexin Jian, Changjian Wang, Dongsheng Li:
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation. ACL (Findings) 2023: 8377-8398 - [c28]Yiqin Lv
, Zhiliang Tian, Zheng Xie, Yiping Song:
Multi-scale Graph Pooling Approach with Adaptive Key Subgraph for Graph Representations. CIKM 2023: 1736-1745 - [c27]Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li:
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. EMNLP (Findings) 2023: 3980-3998 - [c26]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP 2023: 8964-8974 - [c25]Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
RD-NAS: Enhancing One-Shot Supernet Ranking Ability Via Ranking Distillation From Zero-Cost Proxies. ICASSP 2023: 1-5 - [c24]Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. ICASSP 2023: 1-5 - [c23]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. ICCV 2023: 17030-17040 - [c22]Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang:
Retrieval-Augmented GPT-3.5-Based Text-to-SQL Framework with Sample-Aware Prompting and Dynamic Revision Chain. ICONIP (6) 2023: 341-356 - [c21]Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li:
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. IJCAI 2023: 5159-5169 - [c20]Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang:
Prompting GPT-3.5 for Text-to-SQL with De-semanticization and Skeleton Retrieval. PRICAI (2) 2023: 262-274 - [c19]Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. WWW 2023: 1415-1426 - [c18]Zhiliang Tian, Zheng Xie, Fuqiang Lin, Yiping Song:
A Multi-view Meta-learning Approach for Multi-modal Response Generation. WWW 2023: 1938-1947 - [i22]Peijie Dong, Xin Niu, Lujun Li, Zhiliang Tian, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
RD-NAS: Enhancing One-shot Supernet Ranking Ability via Ranking Distillation from Zero-cost Proxies. CoRR abs/2301.09850 (2023) - [i21]Peijie Dong, Xin Niu, Zhiliang Tian, Lujun Li, Xiaodong Wang, Zimian Wei, Hengyue Pan, Dongsheng Li:
Progressive Meta-Pooling Learning for Lightweight Image Classification Model. CoRR abs/2301.10038 (2023) - [i20]Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang:
Hashtag-Guided Low-Resource Tweet Classification. CoRR abs/2302.10143 (2023) - [i19]Chunxi Guo, Zhiliang Tian, Jintao Tang, Pancheng Wang, Zhihua Wen, Kang Yang, Ting Wang:
A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL. CoRR abs/2304.13301 (2023) - [i18]Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao:
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR abs/2305.13547 (2023) - [i17]Chunxi Guo, Zhiliang Tian, Jintao Tang, Shasha Li, Zhihua Wen, Kaixuan Wang, Ting Wang:
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain. CoRR abs/2307.05074 (2023) - [i16]Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan:
EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. CoRR abs/2307.10554 (2023) - [i15]Menglong Lu, Zhen Huang, Zhiliang Tian, Yunxiang Zhao, Xuanyu Fei, Dongsheng Li:
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification. CoRR abs/2308.02746 (2023) - [i14]Menglong Lu, Zhen Huang, Yunxiang Zhao, Zhiliang Tian, Yang Liu, Dongsheng Li:
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation. CoRR abs/2308.02753 (2023) - [i13]Qingyue Wang, Liang Ding, Yanan Cao, Zhiliang Tian, Shi Wang, Dacheng Tao, Li Guo:
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. CoRR abs/2308.15022 (2023) - [i12]Zhihua Wen, Zhiliang Tian, Wei Wu, Yuxin Yang, Yanqi Shi, Zhen Huang, Dongsheng Li:
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence. CoRR abs/2310.05388 (2023) - [i11]Zimian Wei, Hengyue Pan, Lujun Li, Peijie Dong, Zhiliang Tian, Xin Niu, Dongsheng Li:
TVT: Training-Free Vision Transformer Search on Tiny Datasets. CoRR abs/2311.14337 (2023) - [i10]Zimian Wei, Lujun Li, Peijie Dong, Zheng Hui, Anggeng Li, Menglong Lu, Hengyue Pan, Zhiliang Tian, Dongsheng Li:
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery. CoRR abs/2312.09059 (2023) - 2022
- [c17]Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang:
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. ACL (1) 2022: 583-595 - [c16]Zhiliang Tian, Zhihua Wen, Zhenghao Wu, Yiping Song, Jintao Tang, Dongsheng Li, Nevin L. Zhang:
Emotion-Aware Multimodal Pre-training for Image-Grounded Emotional Response Generation. DASFAA (3) 2022: 3-19 - [c15]Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Yongbin Li, Nevin L. Zhang:
Semi-Supervised Lifelong Language Learning. EMNLP (Findings) 2022: 3937-3951 - [c14]Zhiliang Tian, Yinliang Wang, Yiping Song, Chi Zhang, Dongkyu Lee, Yingxiu Zhao, Dongsheng Li, Nevin L. Zhang:
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory. EMNLP (Findings) 2022: 6364-6376 - [c13]Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin Lianwen Zhang:
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. EMNLP 2022: 9793-9803 - [c12]Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Jian Sun, Nevin L. Zhang:
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. EMNLP 2022: 11153-11169 - [c11]Yiping Song, Zheng Xie, Jianping Li, Luchen Liu, Ming Zhang, Zhiliang Tian:
Retrieval Bias Aware Ensemble Model for Conditional Sentence Generation. ICASSP 2022: 6602-6606 - [c10]Yiping Song, Wei Ju, Zhiliang Tian, Luchen Liu, Ming Zhang, Zheng Xie:
Building Conversational Diagnosis Systems for Fine-Grained Diseases Using Few Annotated Data. ICONIP (3) 2022: 591-603 - [c9]Zhiliang Tian, Yingxiu Zhao, Ziyue Huang, Yu-Xiang Wang, Nevin L. Zhang, He He:
SeqPATE: Differentially Private Text Generation via Knowledge Distillation. NeurIPS 2022 - [i9]Yingxiu Zhao, Zhiliang Tian, Huaxiu Yao, Yinhe Zheng, Dongkyu Lee, Yiping Song, Jian Sun, Nevin L. Zhang:
Improving Meta-learning for Low-resource Text Classification and Generation via Memory Imitation. CoRR abs/2203.11670 (2022) - [i8]Yingxiu Zhao, Yinhe Zheng, Zhiliang Tian, Chang Gao, Bowen Yu, Haiyang Yu, Yongbin Li, Jian Sun, Nevin L. Zhang:
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue. CoRR abs/2210.07783 (2022) - [i7]Dongkyu Lee, Zhiliang Tian, Yingxiu Zhao, Ka Chun Cheung, Nevin L. Zhang:
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model. CoRR abs/2210.12427 (2022) - [i6]Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang:
Semi-Supervised Lifelong Language Learning. CoRR abs/2211.13050 (2022) - [i5]Kangchen Zhu, Zhiliang Tian, Ruifeng Luo, Xiaoguang Mao:
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer. CoRR abs/2212.09670 (2022) - 2021
- [c8]Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang:
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. AAAI 2021: 13907-13915 - [c7]Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang:
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. ACL/IJCNLP (1) 2021: 93-102 - [c6]Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang:
Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. ICASSP 2021: 7443-7447 - [i4]Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang:
Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation. CoRR abs/2103.01534 (2021) - [i3]Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang:
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. CoRR abs/2105.10323 (2021) - [i2]Dongkyu Lee, Zhiliang Tian, Lanqing Xue, Nevin L. Zhang:
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization. CoRR abs/2108.00449 (2021) - 2020
- [c5]Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang:
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. ACL 2020: 650-659 - [i1]Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang:
Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. CoRR abs/2005.06128 (2020)
2010 – 2019
- 2019
- [c4]Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang:
Learning to Abstract for Memory-augmented Conversational Response Generation. ACL (1) 2019: 3816-3825 - [c3]Zhourong Chen, Xiaopeng Li, Zhiliang Tian, Nevin L. Zhang:
Fast Structure Learning for Deep Feedforward Networks via Tree Skeleton Expansion. ECSQARU 2019: 277-289 - 2017
- [c2]Zhiliang Tian, Rui Yan, Lili Mou, Yiping Song, Yansong Feng, Dongyan Zhao:
How to Make Context More Useful? An Empirical Study on Context-Aware Neural Conversational Models. ACL (2) 2017: 231-236 - [c1]Yiping Song, Zhiliang Tian, Dongyan Zhao, Ming Zhang, Rui Yan:
Diversifying Neural Conversation Model with Maximal Marginal Relevance. IJCNLP(2) 2017: 169-174
Coauthor Index
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last updated on 2024-11-15 19:27 CET by the dblp team
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