Xiang Liu

According to our database, Xiang Liu authored at least 45 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NestedKV: Nested Memory Routing for Long-Context KV Cache Compression.

Hong Chen, Xiang Liu, Yubo Gao, Yuxuan Fan, Bo Wang, Yuanlin Chu, Yuanguo Lin, Xuming Hu

CoRR, May, 2026

Position: LLM Inference Should Be Evaluated as Energy-to-Token Production.

Xiang Liu, Shimiao Yuan, Zhenheng Tang, Peijie Dong, Kaiyong Zhao, Qian Wang, Bo Li, Xiaowen Chu

CoRR, May, 2026

MDN: Parallelizing Stepwise Momentum for Delta Linear Attention.

Yulong Huang, Xiang Liu, Hongxiang Huang, Xiaopeng Lin, Zunchang Liu, Xiaowen Chu, Zeke Xie, Bojun Cheng

CoRR, May, 2026

Are Dilemmas and Conflicts in LLM Alignment Solvable? A View from Priority Graph.

Zhenheng Tang, Xiang Liu, Qian Wang, Eunsol Choi, Bo Li, Xiaowen Chu

CoRR, March, 2026

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling.

Xiang Li, Zikai Wei, Yiyan Qi, Wanyun Zhou, Xiang Liu, Penglei Sun, Jian Guo, Yongqi Zhang, Xiaowen Chu

CoRR, February, 2026

SONIC: Segmented Optimized Nexus for Information Compression in Key-Value Caching.

Hong Chen, Xiang Liu, Bo Wang, Yuxuan Fan, Yuanlin Chu, Zongluo Li, Xiaowen Chu, Xuming Hu

CoRR, January, 2026

2025

DiffAdapt: Difficulty-Adaptive Reasoning for Token-Efficient LLM Inference.

Xiang Liu, Xuming Hu, Xiaowen Chu, Eunsol Choi

CoRR, October, 2025

Reasoning Language Model Inference Serving Unveiled: An Empirical Study.

Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu

CoRR, October, 2025

AnTKV: Anchor Token-Aware Sub-Bit Vector Quantization for KV Cache in Large Language Models.

Zeyu Li, Chuanfu Xiao, Yang Wang, Xiang Liu, Zhenheng Tang, Baotong Lu, Mao Yang, Xinyu Chen, Xiaowen Chu

CoRR, June, 2025

FlowKV: Enhancing Multi-Turn Conversational Coherence in LLMs via Isolated Key-Value Cache Management.

Xiang Liu, Hong Chen, Xuming Hu, Xiaowen Chu

CoRR, May, 2025

SSR: Speculative Parallel Scaling Reasoning in Test-time.

Yuanlin Chu, Bo Wang, Xiang Liu, Hong Chen, Aiwei Liu, Xuming Hu

CoRR, May, 2025

CAFES: A Collaborative Multi-Agent Framework for Multi-Granular Multimodal Essay Scoring.

Jiamin Su, Yibo Yan, Zhuoran Gao, Han Zhang, Xiang Liu, Xuming Hu

CoRR, May, 2025

The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?

Zhenheng Tang, Xiang Liu, Qian Wang, Peijie Dong, Bingsheng He, Xiaowen Chu, Bo Li

CoRR, February, 2025

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.

Jiamin Su, Yibo Yan, Fangteng Fu, Han Zhang, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu

CoRR, February, 2025

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing.

Kunfeng Lai, Zhenheng Tang, Xinglin Pan, Peijie Dong, Xiang Liu, Haolan Chen, Li Shen, Bo Li, Xiaowen Chu

CoRR, February, 2025

Can LLMs Maintain Fundamental Abilities under KV Cache Compression?

Xiang Liu, Zhenheng Tang, Hong Chen, Peijie Dong, Zeyu Li, Xiuze Zhou, Bo Li, Xuming Hu, Xiaowen Chu

CoRR, February, 2025

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference.

Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Bo Li, Xuming Hu, Xiaowen Chu

CoRR, February, 2025

City-VLM: Towards Multidomain Perception Scene Understanding via Multimodal Incomplete Learning.

Penglei Sun, Yaoxian Song, Xiangru Zhu, Xiang Liu, Qiang Wang, Yue Liu, Changqun Xia, Tiefeng Li, Yang Yang, Xiaowen Chu

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression.

Peijie Dong, Zhenheng Tang, Xiang Liu, Lujun Li, Xiaowen Chu, Bo Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Perovskite-LLM: Knowledge-Enhanced Large Language Models for Perovskite Solar Cell Research.

Xiang Liu, Penglei Sun, Shuyan Chen, Longhan Zhang, Peijie Dong, Huajie You, Yongqi Zhang, Chang Yan, Xiaowen Chu, Tong-yi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models.

Jiamin Su, Yibo Yan, Fangteng Fu, Zhang Han, Jingheng Ye, Xiang Liu, Jiahao Huo, Huiyu Zhou, Xuming Hu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu

CoRR, 2024

Should We Really Edit Language Models? On the Evaluation of Edited Language Models.

Qi Li, Xiang Liu, Zhenheng Tang, Peijie Dong, Zeyu Li, Xinglin Pan, Xiaowen Chu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models.

Lujun Li, Peijie Dong, Zhenheng Tang, Xiang Liu, Qiang Wang, Wenhan Luo, Wei Xue, Qifeng Liu, Xiaowen Chu, Yike Guo

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

3D Question Answering for City Scene Understanding.

Penglei Sun, Yaoxian Song, Xiang Liu, Xiaofei Yang, Qiang Wang, Tiefeng Li, Yang Yang, Xiaowen Chu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Pruner-Zero: Evolving Symbolic Pruning Metric From Scratch for Large Language Models.

Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LongGenBench: Long-context Generation Benchmark.

Xiang Liu, Peijie Dong, Xuming Hu, Xiaowen Chu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LPZero: Language Model Zero-cost Proxy Search from Zero.

Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.

Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu

CoRR, 2023

2022

Deep learning based solder joint defect detection on industrial printed circuit board X-ray images.

Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekara, Chia-wei Woo, Jenny Low, Xiang Liu, Yong Liang Guan

Complex Intell. Syst., 2022

2021

Time-Series Regeneration With Convolutional Recurrent Generative Adversarial Network for Remaining Useful Life Estimation.

Xuewen Zhang, Yan Qin, Chau Yuen, Lahiru Jayasinghe, Xiang Liu

IEEE Trans. Ind. Informatics, 2021

2020

Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images.

Qianru Zhang, Meng Zhang, Chinthaka Gamanayake, Chau Yuen, Zehao Geng, Hirunima Jayasekaraand, Xuewen Zhang, Chia-wei Woo, Jenny Chen Ni Low, Xiang Liu

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

2019

An Experimental Study for Tracking Crowd in Smart Cities.

Kai Li, Chau Yuen, Salil S. Kanhere, Kun Hu, Wei Zhang, Fan Jiang, Xiang Liu

IEEE Syst. J., 2019

Robot Control in Human Environment using Deep Reinforcement Learning and Convolutional Neural Network.

Chen Chen, Hsieh-Yu Li, Audelia Gumarus Dharmawan, Khairuldanial Ismail, Xiang Liu, U-Xuan Tan

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

2018

Understanding crowd density with a smartphone sensing system.

Kai Li, Chau Yuen, Salil S. Kanhere, Kun Hu, Wei Zhang, Fan Jiang, Xiang Liu

Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

2017

Indoor positioning using similarity-based sequence and dead reckoning without training.

Ran Liu, Chau Yuen, Tri-Nhut Do, Ye Jiang, Xiang Liu, U-Xuan Tan

Proceedings of the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2017

Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information.

Ran Liu, Chau Yuen, Tri-Nhut Do, Dewei Jiao, Xiang Liu, U-Xuan Tan

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

System design of the internet of things for residential smart grid.

Sanjana Kadaba Viswanath, Chau Yuen, Wayes Tushar, Wen-Tai Li, Chao-Kai Wen, Kun Hu, Cheng Chen, Xiang Liu

IEEE Wirel. Commun., 2016

Design of Cloud-Connected IoT System for Smart Buildings on Energy Management (Invited paper).

Wayes Tushar, Chau Yuen, Kai Li, Kristin L. Wood, Wei Zhang, Xiang Liu

EAI Endorsed Trans. Ind. Networks Intell. Syst., 2016

SenseFlow: An Experimental Study for Tracking People.

Kai Li, Chau Yuen, Salil S. Kanhere, Kun Hu, Wei Zhang, Fan Jiang, Xiang Liu

CoRR, 2016

Selective AP-Sequence Based Indoor Localization without Site Survey.

Ran Liu, Chau Yuen, Jun Zhao, Jindong Guo, Ronghong Mo, Vishesh N. Pamadi, Xiang Liu

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Relative Positioning by Fusing Signal Strength and Range Information in a Probabilistic Framework.

Ran Liu, Chau Yuen, Tri-Nhut Do, Wei Guo, Xiang Liu, U-Xuan Tan

Proceedings of the 2016 IEEE Globecom Workshops, Washington, DC, USA, December 4-8, 2016, 2016

2015

Demand Response Management for Residential Smart Grid: From Theory to Practice.

Wen-Tai Li, Chau Yuen, Naveed Ul Hassan, Wayes Tushar, Chao-Kai Wen, Kristin L. Wood, Kun Hu, Xiang Liu

IEEE Access, 2015

2014

Smart Tourist - Passive Mobility Tracking Through Mobile Application.

Sanjana Kadaba Viswanath, Chau Yuen, Xuefang Ku, Xiang Liu

Proceedings of the Internet of Things. IoT Infrastructures, 2014