Zihan Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
87
Venues
39
Active years
2010–2026
Best venue rank
A*
Where they publish
- A*ACL14 papers
- A*EMNLP9 papers
- A*AAAI6 papers
- A*ASPLOS5 papers
- A*HPCA4 papers
- MulticonferenceICASSP3 papers
- AInterspeech3 papers
- BIJCNN3 papers
- BWCNC2 papers
- A*WWW2 papers
- A*CHI2 papers
- A*ICLR2 papers
- A*ISCA2 papers
- ACIKM2 papers
- BIJCNLP2 papers
- BCOLING2 papers
- ANAACL2 papers
- AAIED1 paper
- AICCAD1 paper
- A*ICML1 paper
- A*ICRA1 paper
- AIROS1 paper
- BVTC1 paper
- ASC1 paper
- AICDCS1 paper
- A*IJCAI1 paper
- AISSRE1 paper
- CPDCAT1 paper
- AEACL1 paper
- BACCV1 paper
- A*ECCV1 paper
- A*KDD1 paper
- BLREC1 paper
- A*MICRO1 paper
- AWSDM1 paper
- AECOOP1 paper
- CISPA1 paper
- BISIT1 paper
- BITW1 paper
Papers
87 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ResMAS: Resilience Optimization in LLM-based Multi-agent Systems. | Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu |
| 2026 | ACL | Smarter, not Bigger: Fine-Tuned RAG-Enhanced LLMs for Automotive Hardware-in-the-Loop Testing. | Chao Feng, Zihan Liu, Siddhant Gupta, Jan von der Assen |
| 2026 | ACL | EviReport: From Reasoned Outlines to Evidence Tracked Long-Form Reports. | Zihan Liu, Jianhui Li, Zexin Wang, Fei Sun, Jingjing Li, Zheyuan Li, Ke Xiang, Hang Cui, Houhua Gong, Changhua Pei, Gaogang Xie |
| 2026 | ACL | CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels. | Xing Ma, Yangjie Zhou, Wu Sun, Zihan Liu, Jingwen Leng, Yun Lin, Shixuan Sun, Minyi Guo, Jin Song Dong |
| 2026 | ACL | From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models. | Chejian Xu, Wei Ping, Peng Xu, Zihan Liu, Boxin Wang, Mohammad Shoeybi, Bo Li, Bryan Catanzaro |
| 2026 | ACL | The Sonar Moment: An Audio Geo-Localization Benchmark for Audio-Language Models. | Ruixing Zhang, Zihan Liu, Leilei Sun, Tongyu Zhu, Weifeng Lv |
| 2026 | ACL | Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System Design. | Zhilun Zhou, Zihan Liu, Jiahe Liu, Yihan Wang, Qingyu Shao, Fengli Xu, Depeng Jin, Yong Li |
| 2026 | HPCA | FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. | Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng |
| 2026 | HPCA | SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. | Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo |
| 2026 | WCNC | MmWave Beam Prediction with Data Augmentation. | Zihan Liu, Lebin Yao, Ke Ma, Pengyu Wang, Wenhan Dou, Zhaocheng Wang |
| 2026 | WCNC | PRACH Preamble Design for 6G Wireless Systems. | Fan Zhang, Hanyu Liu, Zihan Liu, Tianqi Mao, Christos Masouros, Zhaocheng Wang |
| 2026 | WWW | Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection. | Changhua Pei, Hang Cui, Jingjing Li, Yuxuan Li, Zihan Liu, Xinyuan Liao, Cenjie Hu, Jiabao Wang, Zheyuan Li, Zexin Wang, Haotian Si, Ke Xiang, Gaogang Xie, Dan Pei |
| 2025 | ACL | SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition. | Shuangrui Ding, Zihan Liu, Xiaoyi Dong, Pan Zhang, Rui Qian, Junhao Huang, Conghui He, Dahua Lin, Jiaqi Wang |
| 2025 | ACL | AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling. | Zihan Liu, Yang Chen, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping |
| 2025 | ACL | DualGuard: A Parameter Space Transformation Approach for Bidirectional Defense in Split-Based LLM Fine-Tuning. | Zihan Liu, Yizhen Wang, Rui Wang, Sai Wu |
| 2025 | AIED | AI-Enhanced Speech-Language Intervention Documentation: Opportunities and Design Goals. | Qingxiao Zheng, Abhinav Choudhry, Zihan Liu, Parisa Rabbani, Yuting Hu, Abbie Olszewski, Yun Huang, Jinjun Xiong |
| 2025 | ASPLOS | Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. | Yangjie Zhou, Wenting Shen, Jingwen Leng, Shuwen Lu, Zihan Liu, Weihao Cui, Zhendong Zhang, Wencong Xiao, Baole Ai, Yong Li, Wei Lin, Deze Zeng, Yun Liang, Quan Chen, Ning Liu, Minyi Guo |
| 2025 | ASPLOS | StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. | Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu |
| 2025 | CHI | Understanding How Psychological Distance Influences User Preferences in Conversational versus Web Search. | Yitian Yang, Yugin Tan, Yang Chen Lin, Jung-Tai King, Zihan Liu, Yi-Chieh Lee |
| 2025 | HPCA | VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. | Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng |
| 2025 | HPCA | M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. | Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng |
| 2025 | ICASSP | MIFAE-Forensics: Masked Image-Frequency AutoEncoder for DeepFake Detection. | Hanyi Wang, Zihan Liu, Shilin Wang |
| 2025 | ICCAD | SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity. | Xingyang Li, Jie Jiang, Yu Feng, Yiming Gan, Jieru Zhao, Zihan Liu, Jingwen Leng, Minyi Guo |
| 2025 | ICLR | ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities. | Peng Xu, Wei Ping, Xianchao Wu, Chejian Xu, Zihan Liu, Mohammad Shoeybi, Bryan Catanzaro |
| 2025 | ICML | SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation. | Zihan Liu, Shuangrui Ding, Zhixiong Zhang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang |
| 2025 | ICRA | Learning to Predict the Future from Monocular Vision for Efficient Human-Aware Navigation. | Yushuang Huang, Hao Jiang, Zihan Liu, Wanli Ouyang, Zhaoqi Wang |
| 2025 | IROS | Learning-Based Passive Fault-Tolerant Control of a Quadrotor with Rotor Failure. | Jiehao Chen, Kaidong Zhao, Zihan Liu, YanJie Li, Yunjiang Lou |
| 2025 | ISCA | Lumina: Real-Time Neural Rendering by Exploiting Computational Redundancy. | Yu Feng, Weikai Lin, Yuge Cheng, Zihan Liu, Jingwen Leng, Minyi Guo, Chen Chen, Shixuan Sun, Yuhao Zhu |
| 2025 | VTC | Secure Offloading in VEC: A Multi-Agent Reinforcement Learning Approach. | Zihan Liu, Yuhan Chen, Xiaozhen Lu, Qihui Wu |
| 2025 | SC | A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. | Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng |
| 2024 | AAAI | Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction. | Yufei Huang, Siyuan Li, Lirong Wu, Jin Su, Haitao Lin, Odin Zhang, Zihan Liu, Zhangyang Gao, Jiangbin Zheng, Stan Z. Li |
| 2024 | ASPLOS | GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. | Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang |
| 2024 | ASPLOS | JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. | Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu |
| 2024 | CHI | Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis. | Zihan Liu, Han Li, Anfan Chen, Renwen Zhang, Yi-Chieh Lee |
| 2024 | CIKM | Multi-Behavior Generative Recommendation. | Zihan Liu, Yupeng Hou, Julian J. McAuley |
| 2024 | ICDCS | Universal and Trustless Large-Value Payments in Cryptocurrencies. | Zihan Liu, Chao Lin, Debiao He, Xinyi Huang, Lang Pu |
| 2024 | ICLR | Retrieval meets Long Context Large Language Models. | Peng Xu, Wei Ping, Xianchao Wu, Lawrence McAfee, Chen Zhu, Zihan Liu, Sandeep Subramanian, Evelina Bakhturina, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | IJCAI | An NCDE-based Framework for Universal Representation Learning of Time Series. | Zihan Liu, Bowen Du, Junchen Ye, Xianqing Wen, Leilei Sun |
| 2024 | ISCA | Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. | Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu |
| 2024 | ISSRE | Self-Evolutionary Group-wise Log Parsing Based on Large Language Model. | Changhua Pei, Zihan Liu, Jianhui Li, Erhan Zhang, Le Zhang, Haiming Zhang, Wei Chen, Dan Pei, Gaogang Xie |
| 2024 | PDCAT | A Meta-reinforcement Learning Framework for Adaptive Quadrotor UAV Attitude Control. | Kaidong Zhao, Yanjie Li, Zihan Liu |
| 2023 | ACL | RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. | Ziwei Ji, Zihan Liu, Nayeon Lee, Tiezheng Yu, Bryan Wilie, Min Zeng, Pascale Fung |
| 2023 | EACL | Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. | Wenliang Dai, Zihan Liu, Ziwei Ji, Dan Su, Pascale Fung |
| 2023 | EMNLP | SUT: Active Defects Probing for Transcompiler Models. | Mengnan Qi, Yufan Huang, Maoquan Wang, Yongqiang Yao, Zihan Liu, Bin Gu, Colin B. Clement, Neel Sundaresan |
| 2023 | EMNLP | Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study. | Boxin Wang, Wei Ping, Peng Xu, Lawrence McAfee, Zihan Liu, Mohammad Shoeybi, Yi Dong, Oleksii Kuchaiev, Bo Li, Chaowei Xiao, Anima Anandkumar, Bryan Catanzaro |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICASSP | An Auto-Encoder Based Method for Camera Fingerprint Compression. | Kaixuan Zhang, Zihan Liu, Jiashang Hu, Shilin Wang |
| 2023 | IJCNLP | Only 5% Attention Is All You Need: Efficient Long-range Document-level Neural Machine Translation. | Zihan Liu, Zewei Sun, Shanbo Cheng, Shujian Huang, Mingxuan Wang |
| 2023 | Interspeech | Cross-Lingual Cross-Age Adaptation for Low-Resource Elderly Speech Emotion Recognition. | Samuel Cahyawijaya, Holy Lovenia, Willy Chung, Rita Frieske, Zihan Liu, Pascale Fung |
| 2023 | WWW | Improving (Dis)agreement Detection with Inductive Social Relation Information From Comment-Reply Interactions. | Yun Luo, Zihan Liu, Stan Z. Li, Yue Zhang |
| 2022 | ACCV | Cross-Domain Local Characteristic Enhanced Deepfake Video Detection. | Zihan Liu, Hanyi Wang, Shilin Wang |
| 2022 | ACL | Multi-Stage Prompting for Knowledgeable Dialogue Generation. | Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro |
| 2022 | ASPLOS | VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. | Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo |
| 2022 | CIKM | Are Gradients on Graph Structure Reliable in Gray-box Attacks? | Zihan Liu, Yun Luo, Lirong Wu, Siyuan Li, Zicheng Liu, Stan Z. Li |
| 2022 | COLING | Mere Contrastive Learning for Cross-Domain Sentiment Analysis. | Yun Luo, Fang Guo, Zihan Liu, Yue Zhang |
| 2022 | COLING | Exploiting Sentiment and Common Sense for Zero-shot Stance Detection. | Yun Luo, Zihan Liu, Yuefeng Shi, Stan Z. Li, Yue Zhang |
| 2022 | ECCV | AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. | Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li |
| 2022 | IJCNN | Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. | Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu |
| 2022 | IJCNN | Cluster-based Curriculum Learning for Vision-and-Language Navigation. | Ting Wang, Zongkai Wu, Zihan Liu, Donglin Wang |
| 2022 | KDD | Learning the Evolutionary and Multi-scale Graph Structure for Multivariate Time Series Forecasting. | Junchen Ye, Zihan Liu, Bowen Du, Leilei Sun, Weimiao Li, Yanjie Fu, Hui Xiong |
| 2022 | LREC | ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation. | Holy Lovenia, Samuel Cahyawijaya, Genta Indra Winata, Peng Xu, Yan Xu, Zihan Liu, Rita Frieske, Tiezheng Yu, Wenliang Dai, Elham J. Barezi, Qifeng Chen, Xiaojuan Ma, Bertram E. Shi, Pascale Fung |
| 2022 | MICRO | ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. | Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu |
| 2022 | WSDM | Surrogate Representation Learning with Isometric Mapping for Gray-box Graph Adversarial Attacks. | Zihan Liu, Yun Luo, Zelin Zang, Stan Z. Li |
| 2021 | AAAI | CrossNER: Evaluating Cross-Domain Named Entity Recognition. | Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung |
| 2021 | AAAI | On the Importance of Word Order Information in Cross-lingual Sequence Labeling. | Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung |
| 2021 | ACL | Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation. | Zihan Liu, Genta Indra Winata, Pascale Fung |
| 2021 | EMNLP | Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer. | Zeyu Li, Yilong Qin, Zihan Liu, Wei Wang |
| 2021 | EMNLP | Vision Guided Generative Pre-trained Language Models for Multimodal Abstractive Summarization. | Tiezheng Yu, Wenliang Dai, Zihan Liu, Pascale Fung |
| 2021 | IJCNN | Multi-Grounding Navigator for Self-Supervised Vision-and-Language Navigation. | Zongkai Wu, Zihan Liu, Donglin Wang |
| 2021 | NAACL | Multimodal End-to-End Sparse Model for Emotion Recognition. | Wenliang Dai, Samuel Cahyawijaya, Zihan Liu, Pascale Fung |
| 2021 | NAACL | AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization. | Tiezheng Yu, Zihan Liu, Pascale Fung |
| 2020 | AAAI | CAiRE: An End-to-End Empathetic Chatbot. | Zhaojiang Lin, Peng Xu, Genta Indra Winata, Farhad Bin Siddique, Zihan Liu, Jamin Shin, Pascale Fung |
| 2020 | AAAI | Attention-Informed Mixed-Language Training for Zero-Shot Cross-Lingual Task-Oriented Dialogue Systems. | Zihan Liu, Genta Indra Winata, Zhaojiang Lin, Peng Xu, Pascale Fung |
| 2020 | ACL | Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling. | Zihan Liu, Genta Indra Winata, Peng Xu, Pascale Fung |
| 2020 | ACL | Meta-Transfer Learning for Code-Switched Speech Recognition. | Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Peng Xu, Pascale Fung |
| 2020 | ECOOP | PLAM: Preemptive Layer Activation Architecture based on Multithreading in Context-Oriented Programming. | Zihan Liu, Ikuta Tanigawa, Harumi Watanabe, Kenji Hisazumi |
| 2020 | EMNLP | Cross-lingual Spoken Language Understanding with Regularized Representation Alignment. | Zihan Liu, Genta Indra Winata, Peng Xu, Zhaojiang Lin, Pascale Fung |
| 2020 | EMNLP | Learning Knowledge Bases with Parameters for Task-Oriented Dialogue Systems. | Andrea Madotto, Samuel Cahyawijaya, Genta Indra Winata, Yan Xu, Zihan Liu, Zhaojiang Lin, Pascale Fung |
| 2020 | ICASSP | Lightweight and Efficient End-To-End Speech Recognition Using Low-Rank Transformer. | Genta Indra Winata, Samuel Cahyawijaya, Zhaojiang Lin, Zihan Liu, Pascale Fung |
| 2020 | IJCNLP | Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition. | Wenliang Dai, Zihan Liu, Tiezheng Yu, Pascale Fung |
| 2020 | Interspeech | Learning Fast Adaptation on Cross-Accented Speech Recognition. | Genta Indra Winata, Samuel Cahyawijaya, Zihan Liu, Zhaojiang Lin, Andrea Madotto, Peng Xu, Pascale Fung |
| 2020 | ISPA | DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. | Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo |
| 2019 | EMNLP | Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables. | Zihan Liu, Jamin Shin, Yan Xu, Genta Indra Winata, Peng Xu, Andrea Madotto, Pascale Fung |
| 2019 | EMNLP | Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. | Genta Indra Winata, Zhaojiang Lin, Jamin Shin, Zihan Liu, Pascale Fung |
| 2016 | ISIT | Balanced Reed-Solomon codes. | Wael Halbawi, Zihan Liu, Babak Hassibi |
| 2016 | ITW | Balanced Reed-Solomon codes for all parameters. | Wael Halbawi, Zihan Liu, Babak Hassibi |
| 2010 | Interspeech | Maximum lexical cohesion for fine-grained news story segmentation. | Zihan Liu, Lei Xie, Wei Feng |