Hui-Ling Zhen - RankMe

84 papers A* 11A 5Journal 64Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents. CoRR Wenbo Gao, Renxi Liu, Xian Wang, Fang Guo, Shuai Yang, Xi Chen, Hui-Ling Zhen, Hanting Chen, Weizhe Lin, Xiaosong Li, Yaoyuan Wang
2026	J	`jnl`	Benchmarking Post-Training Quantization of Large Language Models under Microscaling Floating Point Formats. CoRR Manyi Zhang, Ji-Fu Li, Zhongao Sun, Haoli Bai, Hui-Ling Zhen, Zhenhua Dong, Xianzhi Yu
2026	J	`jnl`	Beyond Speedup - Utilizing KV Cache for Sampling and Reasoning. CoRR Zeyu Xing, Xing Li, Hui-Ling Zhen, Mingxuan Yuan, Sinno Jialin Pan
2026	J	`jnl`	DLLM Agent: See Farther, Run Faster. CoRR Hui-Ling Zhen, Weizhe Lin, Renxi Liu, Kai Han, Yiming Li, Yuchuan Tian, Hanting Chen, Xiaoguang Li, Xiaosong Li, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Youliang Yan, Peifeng Qin, Jun Wang, Yu Wang, Dacheng Tao, Yunhe Wang
2026	—	`conf`	DiLA: Enhancing LLM Tool Learning with Differential Logic Layer. KDD (1) Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2026	J	`jnl`	MemDLM: Memory-Enhanced DLM Training. CoRR Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu
2026	J	`jnl`	ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control. CoRR Zhentao Tang, Yuqi Cui, Shixiong Kai, Wenqian Zhao, Ke Ye, Xing Li, Anxin Tian, Zehua Pei, Hui-Ling Zhen, Shoubo Hu, Xiaoguang Li, Yunhe Wang, Mingxuan Yuan
2026	J	`jnl`	Revisiting Judge Decoding from First Principles via Training-Free Distributional Divergence. CoRR Shengyin Sun, Yiming Li, Renxi Liu, Weizhe Lin, Hui-Ling Zhen, Xianzhi Yu, Mingxuan Yuan, Chen Ma
2026	J	`jnl`	SwiftMem: Fast Agentic Memory via Query-aware Indexing. CoRR Anxin Tian, Yiming Li, Xing Li, Hui-Ling Zhen, Lei Chen, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan
2026	J	`jnl`	Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats. CoRR Pengxiang Zhao, Hui-Ling Zhen, Xing Li, Han Bao, Weizhe Lin, Zhiyuan Yang, Manyi Zhang, Yuanyong Luo, Ziwei Yu, Xin Wang, Mingxuan Yuan, Xianzhi Yu, Zhenhua Dong
2026	J	`jnl`	What Matters For Safety Alignment? CoRR Xing Li, Hui-Ling Zhen, Lihao Yin, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan
2025	J	`jnl`	An attention-aware GNN-based input defender against multi-turn jailbreak on LLMs. CoRR Zixuan Huang, Kecheng Huang, Lihao Yin, Bowei He, Hui-Ling Zhen, Mingxuan Yuan, Zili Shao
2025	J	`jnl`	Behavioral Fingerprinting of Large Language Models. CoRR Zehua Pei, Hui-Ling Zhen, Yingchun Zhang, Zhiyuan Yang, Xing Li, Xianzhi Yu, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference. CoRR Zehua Pei, Lancheng Zou, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025	A*	`conf`	Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. ICLR Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Jianping Zhang, Lanqing Hong, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC. CoRR Qingyu Song, Peiyu Liao, Wenqian Zhao, Yiwen Wang, Shoubo Hu, Hui-Ling Zhen, Ning Jiang, Mingxuan Yuan
2025	J	`jnl`	HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. CoRR Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025	A*	`conf`	KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. ICML Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan
2025	J	`jnl`	KVTuner: Sensitivity-Aware Layer-wise Mixed Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. CoRR Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Wulong Liu, Yiwu Yao, Sinno Jialin Pan, Mingxuan Yuan
2025	A*	`conf`	LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration. DAC Hongduo Liu, Chen Bai, Peng Xu, Lihao Yin, Xianzhi Yu, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
2025	A*	`conf`	Logic Optimization Meets SAT: A Novel Framework for Circuit-SAT Solving. DAC Zhengyuan Shi, Tiebing Tang, Jiaying Zhu, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
2025	J	`jnl`	MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling. CoRR Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	PreMoe: Lightening MoEs on Constrained Memory by Expert Pruning and Retrieval. CoRR Zehua Pei, Yingchun Zhang, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization. CoRR Bowei He, Lihao Yin, Hui-Ling Zhen, Shuqi Liu, Han Wu, Xiaokun Zhang, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	SCOPE: Prompt Evolution for Enhancing Agent Effectiveness. CoRR Zehua Pei, Hui-Ling Zhen, Shixiong Kai, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu
2025	J	`jnl`	SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention. CoRR Hong Yankun, Xing Li, Hui-Ling Zhen, Xianzhi Yu, Wulong Liu, Mingxuan Yuan
2025	J	`jnl`	Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling. CoRR Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Chen Ma
2025	A*	`conf`	The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation. IJCAI Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan
2025	J	`jnl`	Towards Efficient Agents: A Co-Design of Inference Architecture and System. CoRR Weizhe Lin, Hui-Ling Zhen, Shuai Yang, Xian Wang, Renxi Liu, Hanting Chen, Wangze Zhang, Chuansai Zhou, Yiming Li, Chen Chen, Xing Li, Zhiyuan Yang, Xiaosong Li, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan, Yunhe Wang
2025	J	`jnl`	TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling. CoRR Weizhe Lin, Xing Li, Zhiyuan Yang, Xiaojin Fu, Hui-Ling Zhen, Yaoyuan Wang, Xianzhi Yu, Wulong Liu, Xiaosong Li, Mingxuan Yuan
2025	J	`jnl`	Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging. CoRR Han Wu, Yuxuan Yao, Shuqi Liu, Zehua Liu, Xiaojin Fu, Xiongwei Han, Xing Li, Hui-Ling Zhen, Tao Zhong, Mingxuan Yuan
2024	A*	`conf`	BetterV: Controlled Verilog Generation with Discriminative Guidance. ICML Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu
2024	J	`jnl`	BetterV: Controlled Verilog Generation with Discriminative Guidance. CoRR Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu
2024	A	`conf`	DiffSAT: Differential MaxSAT Layer for SAT Solving. ICCAD Yu Zhang, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024	J	`jnl`	EDA-Driven Preprocessing for SAT Solving. CoRR Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
2024	J	`jnl`	Erratum to: Large circuit models: opportunities and challenges. Sci. China Inf. Sci. Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
2024	J	`jnl`	FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformers. CoRR Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno Jialin Pan, Mingxuan Yuan, Bei Yu
2024	A*	`conf`	GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024	J	`jnl`	GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
2024	A*	`conf`	HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. NeurIPS Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates
2024	J	`jnl`	HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation. CoRR Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates
2024	J	`jnl`	IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability. CoRR Tsz Ho Chan, Wenyi Xiao, Junhua Huang, Hui-Ling Zhen, Guangji Tian, Mingxuan Yuan
2024	J	`jnl`	LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
2024	J	`jnl`	Large circuit models: opportunities and challenges. Sci. China Inf. Sci. Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Ru Huang, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yu Li, Yun Liang, Jinwei Liu, Yi Liu, Yibo Lin, Guojie Luo, Hongyang Pan, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Junchi Yan, Jun Yang, Bei Yu, Mingxuan Yuan, Evangeline F. Y. Young, Xuan Zeng, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
2024	J	`jnl`	Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024	J	`jnl`	MixPE: Quantization and Hardware Co-design for Efficient LLM Inference. CoRR Yu Zhang, Mingzi Wang, Lancheng Zou, Wulong Liu, Hui-Ling Zhen, Mingxuan Yuan, Bei Yu
2024	A*	`conf`	NeuroSelect: Learning to Select Clauses in SAT Solvers. DAC Hongduo Liu, Peng Xu, Yuan Pu, Lihao Yin, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
2024	A	`conf`	Parallel Gröbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification. DATE Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
2024	J	`jnl`	SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning. CoRR Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
2024	J	`jnl`	The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
2024	J	`jnl`	The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation. CoRR Reza Moravej, Saurabh Bodhe, Zhanguang Zhang, Didier Chételat, Dimitrios Tsaras, Yingxue Zhang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan
2023	J	`jnl`	A survey for solving mixed integer programming via machine learning. Neurocomputing Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan
2023	J	`jnl`	Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG. CoRR Hui-Ling Zhen, Naixing Wang, Junhua Huang, Xinyue Huang, Mingxuan Yuan, Yu Huang
2023	A	`conf`	DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
2023	J	`jnl`	DeepGate2: Functionality-Aware Circuit Representation Learning. CoRR Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
2023	—	`conf`	Fault Simulation Acceleration Based on ARM Multi-core CPU Architecture. ATS Shi-Jie Ye, Yun-Ju Liu, Liuzheng Wang, Hui-Ling Zhen, Wei-Ming Zhang, Yu Huang
2023	A*	`conf`	HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
2023	J	`jnl`	Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan
2023	A	`conf`	SATformer: Transformer-Based UNSAT Core Learning. ICCAD Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
2022	J	`jnl`	A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan
2022	—	`conf`	Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics. ASP-DAC Junhua Huang, Hui-Ling Zhen, Naixing Wang, Mingxuan Yuan, Hui Mao, Yu Huang, Jiping Tao
2022	J	`jnl`	Accelerate the optimization of large-scale manufacturing planning using game theory. Complex Intell. Syst. Hui-Ling Zhen, Zhenkun Wang, Xijun Li, Qingfu Zhang, Mingxuan Yuan, Jia Zeng
2022	J	`jnl`	Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
2022	—	`conf`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2022	J	`jnl`	Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin
2022	J	`jnl`	Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
2022	A	`conf`	Neural Fault Analysis for SAT-based ATPG. ITC Junhua Huang, Hui-Ling Zhen, Naixing Wang, Hui Mao, Mingxuan Yuan, Yu Huang
2022	J	`jnl`	SATformer: Transformers for SAT Solving. CoRR Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
2021	J	`jnl`	Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
2020	J	`jnl`	Bilevel Learning Model Towards Industrial Scheduling. CoRR Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
2020	J	`jnl`	Fast Covariance Matrix Adaptation for Large-Scale Black-Box Optimization. IEEE Trans. Cybern. Zhenhua Li, Qingfu Zhang, Xi Lin, Hui-Ling Zhen
2019	A*	`conf`	Pareto Multi-Task Learning. NeurIPS Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2019	J	`jnl`	Pareto Multi-Task Learning. CoRR Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2018	J	`jnl`	A Batched Scalable Multi-Objective Bayesian Optimization Algorithm. CoRR Xi Lin, Hui-Ling Zhen, Zhenhua Li, Qingfu Zhang, Sam Kwong
2018	J	`jnl`	Nonlinear Collaborative Scheme for Deep Neural Networks. CoRR Hui-Ling Zhen, Xi Lin, Alan Z. Tang, Zhenhua Li, Qingfu Zhang, Sam Kwong
2017	J	`jnl`	Dynamic behaviors for a perturbed nonlinear Schrödinger equation with the power-law nonlinearity in a non-Kerr medium. Commun. Nonlinear Sci. Numer. Simul. Jun Chai, Bo Tian, Hui-Ling Zhen, Wen-Rong Sun, De-Yin Liu
2016	J	`jnl`	Bright-dark vector soliton solutions for a generalized coupled Hirota system in the optical glass fiber. Commun. Nonlinear Sci. Numer. Simul. Lei Liu, Bo Tian, Wen-Rong Sun, Hui-Ling Zhen, Wen-Rui Shan
2016	J	`jnl`	Soliton solutions and chaotic motions for the (2+1)-dimensional Zakharov equations in a laser-induced plasma. Comput. Math. Appl. Hui-Ling Zhen, Bo Tian, Ya Sun, Jun Chai
2014	J	`jnl`	Dynamic behaviors and soliton solutions of the modified Zakharov-Kuznetsov equation in the electrical transmission line. Comput. Math. Appl. Hui-Ling Zhen, Bo Tian, Hui Zhong, Yan Jiang
2014	J	`jnl`	Dynamics of an integrable Kadomtsev-Petviashvili-based system. Appl. Math. Lett. Hui-Ling Zhen, Bo Tian, Wen-Rong Sun